Evaluating the Digital Delivery of Mindfulness-Based Cognitive Behavioral Interventions for Elderly Mental Health: An Experimental Study

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This empirical study investigates the effectiveness of digitally delivered Mindfulness-Based Cognitive Behavioral Therapy (MBCBT) in enhancing resilience and improving psychological well-being among older adults. A total of 150 participants aged 60–75 years were divided into three groups based on predominant symptoms—depression, anxiety, and stress. The 10-week digital MBCBT intervention included guided mindfulness practices, cognitive restructuring exercises, and resilience-building sessions delivered through online platforms. Pre- and post-assessments using the Resilience Scale and the Depression, Anxiety, and Stress Scale (DASS-21) revealed significant improvements in post-intervention scores across all groups. Findings indicate that digital MBCBT is an effective, feasible, and scalable model for promoting mental health in elderly populations. The study also highlights practical challenges related to digital literacy and engagement, underscoring the need for hybrid and culturally adaptive approaches to enhance therapeutic access for older adults. Mindfulness-Based Cognitive Behavioral Therapy Elderly Mental Health Digital Intervention Resilience Depression Anxiety Stress Telehealth Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Introduction With the rapid aging of global populations, mental health challenges such as depression, anxiety, and stress have become increasingly prevalent among older adults. These conditions often lead to reduced quality of life, impaired functioning, and increased healthcare dependency. Traditional face-to-face psychotherapy models, though effective, are frequently inaccessible to elderly individuals due to mobility issues, geographical barriers, and limited availability of trained professionals. In response to these challenges, this empirical research explores the impact of a digitally delivered Mindfulness-Based Cognitive Behavioral Therapy (MBCBT) program on psychological well-being and resilience among the elderly. Unlike theoretical or review-based studies, this research employs a pre-test–post-test experimental design to evaluate measurable outcomes of a structured digital intervention. (Wang et al., 2025 ). MBCT (and MBCT adaptations for older adults) are promising Mindfulness-based cognitive therapy (MBCT) integrates core CBT principles with mindfulness training to reduce rumination and prevent depressive relapse (Abdul Wahab & Abdul Khaiyom, 2025 ). Systematic reviews and mechanistic work show MBCT reduces depressive symptoms and improves emotion regulation and certain cognitive processes; neurocognitive evidence points to changes in attentional control and affect regulation after MBCT, supporting its theoretical rationale (Ahmadpour & Khorand, 2024 ). Importantly, MBCT can be adapted for older adults (shorter practices, chair/sitting options, removal of full-day retreats), and recent trials of age-modified MBCT report reductions in depressive symptoms and stress in community samples. (Gkintoni et al., 2025 ; Wang et al., 2025 ). Digital delivery: why now and what the evidence says Digital mental health interventions (DMHIs) — including therapist-guided internet-delivered CBT (iCBT), app-based mindfulness programs, and telecare/telehealth — have matured rapidly since COVID-19. Meta-analyses and large systematic reviews show small-to-moderate effects for standalone digital interventions on mental health outcomes overall, and growing RCT evidence supports therapist-guided iCBT or tailored internet CBT for older adults specifically. For example, tailored therapist-guided ICBT reduced depressive symptoms in older adults in a randomized trial and appears feasible and acceptable. Moreover, recent pragmatic evidence indicates that telecare modalities (video, remote monitoring, and blended approaches) produce meaningful reductions in depression and anxiety among older adults when compared with usual care. These results collectively support testing MBCT content delivered via digital platforms to reach older populations who face access barriers. (Cabreira et al., 2024 ; Nordgren et al., 2024 ; Wu et al., 2024). Opportunities offered by digital MBCT for older adults Digital delivery of MBCT could (a) increase reach and equity by overcoming transport and provider shortages; (b) enable flexible, bite-sized practice (important for attention/cognitive load), asynchronous home practice and booster modules; (c) allow personalization (adapted session length, voice guidance, larger text, audio options); and (d) lower costs via task-sharing (lay facilitation or social-worker co-led delivery). Early implementations of brief app-based mindfulness and compassion training (e.g., WellMind) demonstrate feasibility and promising effects in adult samples, and qualitative work with older adults shows voice-guided and personalized designs are particularly well received when usability barriers are addressed. (Jaiswal et al., 2024 ; McCarren & Kuoppamäki, 2025 ). Key challenges and risks for digital MBCT in older populations Despite promise, multiple challenges must be addressed: (a) the digital divide — variable device access, connectivity and digital literacy among older adults; (b) cognitive and sensory constraints — attention span, working memory and hearing/vision limitations that require interface and content adaptation; (c) engagement & adherence — dropouts are common in unguided digital interventions unless there is human support or persuasive design; (d) privacy, data governance and clinical safety — older adults and caregivers worry about data sharing and crisis management; and (e) therapeutic fidelity and training — clinicians and lay facilitators need telehealth competencies to assess, escalate, and adapt MBCT safely online. Recent scoping reviews emphasize competency frameworks and the need for clinician & patient training to ensure quality and equity in telehealth for older adults. (Wu et al., 2024; Gentry et al., 2025 ; Cabreira et al., 2024 ). Design and implementation considerations Based on recent empirical and qualitative findings, digital MBCT for older adults should: (a) co-design interfaces with older users (voice guidance, simple navigation, adjustable pacing); (b) use hybrid models (self-guided content + brief human support or lay facilitation) to boost adherence and safety; (c) include brief, frequent practices (5–15 minutes) and optional extended sessions for those able to do more; (d) incorporate accessibility (captioning, large fonts, contrast) and privacy-by-design; and (e) embed outcome monitoring and escalation pathways (suicidality, severe deterioration). Trials of brief app-based mindfulness and tailored iCBT illustrate the feasibility of these features and their positive outcomes when combined thoughtfully. (Jaiswal et al., 2024 ; Nordgren et al., 2024 ; McCarren & Kuoppamäki, 2025 ). Research gap and rationale for the present work Although MBCT is effective in older adults in face-to-face or age-modified group formats, there is limited high-quality trial evidence on fully or hybrid digitally delivered MBCT specifically tailored for the elderly (including task-shifted facilitation, voice guidance, and accessibility adaptations). Available meta-analyses show digital interventions work in principle but heterogeneity (platforms, guidance level, age groups) leaves open questions about optimal format, dosage, moderators (cognitive function, digital literacy), safety protocols, and cost-effectiveness in community settings. Thus, a rigorous comparative, intervention-based study comparing (for example) (A) hybrid digital MBCT (brief app + weekly lay-facilitated check-ins), (B) therapist-guided online MBCT, and (C) active control (psychoeducation/attention control) would address a timely translational gap and inform scale-up strategies. (Cabreira et al., 2024 ; Nordgren et al., 2024 ; Wang et al., 2025 ). Digital MBCT presents a high-value, scalable pathway to reduce depressive and stress symptoms among older adults, but careful design, safety scaffolding, and trials that evaluate different delivery models (fully digital, hybrid with lay facilitation, and clinician-guided) are required. The next logical step is a comparative, intervention-based trial that measures clinical outcomes, mechanisms (mindfulness facets; cognitive/attentional mediators), engagement, equity of access, and implementation outcomes — which is what the present study will propose (Ahmed et al., 2023 ). Review of Literature Rising Mental Health Concerns in the Elderly The prevalence of depression, anxiety, and stress among older adults is a pressing public health issue worldwide. With increasing life expectancy, the elderly face challenges such as social isolation, loss of independence, and declining health, all of which contribute to psychological distress (Wang et al., 2025). Addressing these concerns requires non-pharmacological approaches that not only reduce symptoms but also enhance resilience and overall well-being. Mindfulness-Based Cognitive Behavioral Therapy: A Promising Approach Mindfulness-Based Cognitive Behavioral Therapy (MBCBT) integrates the structured strategies of CBT with mindfulness practices aimed at cultivating awareness and acceptance. This combined framework has been shown to reduce maladaptive thought patterns, regulate stress, and improve emotional well-being in older populations (Gkintoni et al., 2025). Importantly, adaptations of MBCBT for elderly participants—such as shorter sessions, simplified practices, and chair-based mindfulness—have demonstrated feasibility and clinical effectiveness (Cabreira et al., 2024). Empirical Evidence from Intervention Studies Several intervention-based studies highlight the effectiveness of MBCBT in elderly populations. A quasi-experimental study demonstrated that a 10-week MBCBT intervention significantly reduced depression, anxiety, and stress levels among elderly participants, showcasing its applicability in real-world settings (Gentry et al., 2025) (Garg et al., 2025). Similarly, randomized controlled trial evidence has shown that group-based MBCBT enhances resilience while simultaneously preventing the onset of depression and anxiety in at-risk elderly groups (Garg et al., 2025). These findings confirm MBCBT as a practical and evidence-based intervention for late-life mental health (Gkintoni et al., 2025). Systematic Reviews and Meta-Analyses Beyond individual trials, systematic reviews provide stronger evidence for the generalizability of MBCBT outcomes. A comprehensive review and meta-analysis confirmed that mindfulness and CBT-based interventions consistently improve mood regulation, stress reduction, and coping abilities in elderly populations (Ginanjar et al., 2024) (Garg et al., 2024a). These findings align with global meta-analyses showing the effectiveness of digital and face-to-face mindfulness interventions across diverse elderly cohorts (Guiney et al., 2024) (Cabreira et al., 2024). Conceptual and Narrative Contributions Narrative reviews have further illuminated the broader role of mindfulness and CBT in promoting positive aging. One such work emphasized how these interventions transform the experience of “golden years” by fostering acceptance, reducing rumination, and enhancing overall life satisfaction (Herdian et al., 2024) (Garg et al., 2024b). These perspectives underline the need for preventive, holistic approaches that go beyond symptom reduction to focus on flourishing and resilience in later life. Cultural Context and Indian Knowledge Systems An important dimension in mindfulness research is the integration of cultural frameworks. One recent contribution highlighted how Indian Knowledge Systems (IKS) can be incorporated into MBCBT to create culturally sensitive therapeutic models (Hosseini et al., 2021) (Garg, 2025). Such integration strengthens engagement and provides a more holistic experience for participants, demonstrating that contextually tailored interventions may yield superior outcomes. These insights are especially relevant to digital adaptations, where cultural resonance can improve usability and acceptance among elderly users. Emerging Evidence on Digital Interventions The digitalization of healthcare delivery has accelerated, especially after the COVID-19 pandemic. Evidence suggests that internet-delivered CBT and mindfulness programs are feasible and effective for older adults when adapted for their specific needs (Hu et al., 2025). For example, a randomized controlled trial on tailored internet-delivered CBT reported significant improvements in depression among elderly participants (Nordgren et al., 2024). Likewise, a systematic review of telecare interventions found meaningful reductions in depression when structured digital programs were used with older adults (Wu et al., 2024). Opportunities of Digital MBCBT Delivery Digital platforms provide unique opportunities to deliver MBCBT at scale. They can overcome barriers such as geographical distance, mobility limitations, and shortage of trained professionals (Jackman et al., 2025). Mobile applications and telehealth programs also offer flexibility through asynchronous practice, personalized feedback, and accessibility features such as large text and voice guidance (McCarren & Kuoppamäki, 2025). Brief app-based mindfulness programs, for instance, have shown positive outcomes in enhancing emotional well-being and reducing stress (Jaiswal et al., 2024). Challenges in Digital Implementation Despite the potential, several challenges remain. Older adults often experience digital literacy barriers, lack of access to technology, and physical constraints such as vision or hearing difficulties. Moreover, digital interventions sometimes face adherence issues, with participants dropping out due to lack of motivation or technical difficulties (Nordgren et al., 2024). Concerns around privacy, therapeutic alliance, and clinical safety also pose limitations (Gentry et al., 2025). Addressing these barriers requires thoughtful program design, hybrid delivery models, and training for both participants and facilitators. Identified Research Gap The literature clearly establishes MBCBT as an effective intervention for elderly mental health, with strong support from both trials and reviews. However, studies specifically examining the digital delivery of MBCBT for elderly populations remain scarce. While CBT and mindfulness interventions have been tested online, fully digital or hybrid MBCBT tailored for elderly populations has not been adequately investigated. This gap highlights the need for research into digital MBCBT models that are age-friendly, culturally sensitive, and scalable across diverse elderly communities. Integrated Review and Critical Synthesis The integrated review matrix highlights 10 key studies examining the effectiveness of mindfulness-based cognitive behavioral interventions (MBCBT) for elderly mental health. The majority of studies (60%) were empirical trials, including quasi-experimental and randomized controlled designs, while 20% were systematic reviews/meta-analyses and 20% were conceptual or book chapters. Intervention formats varied, with face-to-face MBCBT being the most common (50%), group-based MBCBT at 20%, and digital or hybrid interventions accounting for 30%. Findings consistently show improvements in depression, anxiety, stress reduction, and resilience enhancement among elderly participants. However, gaps include limited empirical testing of digital delivery, short intervention durations, and challenges related to digital literacy and engagement in elderly populations. Digital relevance is a key emerging theme: 70% of the studies recommend or demonstrate the feasibility of digital adaptations of MBCBT, emphasizing potential for scalable, accessible, and culturally sensitive interventions for elderly populations. These insights justify further research on digital delivery models, particularly those that integrate cultural frameworks and group support mechanisms. RESEARCH HYPOTHESIS Null Hypothesis H₀₁: There is no significant effect of the digitally delivered Mindfulness-Based Cognitive Behavioral Therapy (MBCBT) intervention on resilience levels among elderly participants with symptoms of depression, anxiety, or stress. H₀₂: There is no significant difference in post-intervention depression, anxiety, and stress levels between elderly participants who receive the digitally delivered MBCBT intervention and those who do not. Research Methodology Research Design This study follows a quantitative, experimental pre-test–post-test design with control and experimental groups. The aim is to assess whether digitally delivered MBCBT improves resilience and reduces depression, anxiety, and stress in elderly participants. Population and Sample Table 1. Sample Distribution by Group Group Number of Participants Age Range (Years) Condition Focus Mode of Delivery Experimental Group 1 50 60–75 Depression Digital MBCBT sessions Experimental Group 2 50 60–75 Anxiety Digital MBCBT sessions Experimental Group 3 50 60–75 Stress Digital MBCBT sessions Total 150 60–75 Depression/Anxiety/Stress — Figure 2. Sample Distribution by Group Tools and Measures Table 2. Tools Used in the Study Tool/Scale Purpose Application Stage Mini Mental State Examination (MMSE) Screening for cognitive impairment Before inclusion Resilience Scale (Singh et al., 2016) Measurement of resilience levels Pre- and post-intervention DASS-21 Assessment of depression, anxiety, and stress Pre- and post-intervention Digital Usability Checklist (self-made) Assessing ease of use, comfort, and accessibility During and post-intervention Figure 3. Role of Tools in Study Intervention Procedure Table 3. Digital MBCBT Intervention Structure Week Session Content Delivery Mode 1 Orientation, introduction to mindfulness & CBT Live online + app-based 2–3 Mindful breathing, body scan, identifying thoughts Guided app practices 4–5 Cognitive restructuring & stress management Online session + homework 6–7 Emotional regulation, acceptance, resilience skills App + telehealth support 8–9 Relapse prevention, booster mindfulness practices Hybrid (app + online) 10 Review, feedback, and future planning Online closing session Figure 4. Intervention Flow Data Analysis Plan Table 4. Data Analysis Strategy Test/Analysis Purpose Paired Sample t-test To compare pre- and post-scores within each group Independent Sample t-test To compare experimental vs. control groups ANOVA To check differences across conditions (Depression/Anxiety/Stress) Cohen’s d (Effect size) To measure strength of intervention impact Figure 5. Data Analysis Overview Figure 6. CONSORT Flow Diagram of Participant Progress through the Study Inclusion and Exclusion Criteria Inclusion Criteria Elderly participants aged 60–75 years. Individuals who scored above the cognitive impairment threshold on the Mini Mental State Examination (MMSE). Participants reporting mild to moderate levels of depression, anxiety, or stress as indicated by DASS-21 pre-screening. Willingness to provide informed consent and participate in all 10 weeks of digital MBCBT sessions. Access to a smartphone/tablet and basic digital literacy. Exclusion Criteria Participants with severe psychiatric conditions (e.g., psychosis, bipolar disorder) or active suicidal ideation. Individuals undergoing other structured psychotherapy or psychiatric medication changes during the intervention period. Severe sensory impairments (hearing/vision loss) that limit participation in digital sessions. Participants who failed to complete the baseline assessment or dropped out before intervention initiation. Group Allocation and Participant Details The sample of 150 participants was divided into three experimental groups based on their primary psychological concern: Group 1: Depression (n = 50) Group 2: Anxiety (n = 50) Group 3: Stress (n = 50) Each group followed the same 10-week digital MBCBT program but analysis was conducted separately to evaluate condition-specific improvements. Facilitator Training and Implementation Expertise The intervention was delivered by trained clinical psychologists with at least 5 years of experience in mindfulness and CBT practices. Facilitators underwent a two-week orientation workshop on delivering mindfulness-based cognitive behavioral therapy (MBCBT) in a digital format. Standardized session manuals were used to maintain treatment fidelity. Weekly supervision meetings were conducted with senior psychologists to ensure quality and consistency of intervention delivery. Outcome Measures Primary Outcomes Resilience (Resilience Scale, Singh et al., 2016). Psychological distress (Depression, Anxiety, Stress subscales of DASS-21). Secondary Outcomes Digital usability and acceptability of the intervention (self-developed usability checklist). Ethical Considerations Ethical clearance was obtained from the Institutional Ethics Committee of Amity University, Madhya Pradesh. Written informed consent was obtained from all participants. Confidentiality was ensured by coding participants’ data and removing identifiers. Participants retained the right to withdraw at any point without consequences. In case of elevated psychological risk, referrals to clinical mental health services were provided. Procedure Screening Phase: Participants were assessed using MMSE to exclude cognitive impairment. Pre-test Phase: Eligible participants completed Resilience Scale and DASS-21 before intervention. Intervention Phase: 10-week structured digital MBCBT program was delivered as per the intervention framework (Table 3). Post-test Phase: The same measures (Resilience Scale, DASS-21) were administered again to evaluate change. Feedback Phase: Participants completed the digital usability checklist to assess program feasibility. Group Intervention Implementation Strategy Sessions were group-based (10–12 participants per digital group) to foster peer interaction while maintaining personalized guidance. Each weekly module included: Live video-based teaching (30–45 minutes). Guided mindfulness audio/video practices (daily 15–20 minutes). CBT worksheets for thought restructuring and stress management. Homework review in subsequent sessions. Progress was monitored through weekly check-ins and self-report logs. Table 5: Administration Schedule of Assessment Tools Tool/Scale Timing of Administration Purpose MMSE Before inclusion Screening for eligibility Resilience Scale Week 0 (Pre-test), Week 10 (Post-test) Measure resilience change DASS-21 Week 0 (Pre-test), Week 10 (Post-test) Assess psychological distress Usability Checklist Week 10 (Post-test) Evaluate digital feasibility Statistical Analysis Paired Sample t-tests were applied to compare pre- and post-intervention scores within each group. One-way ANOVA tested differences between depression, anxiety, and stress groups. Effect sizes (Cohen’s d) were calculated to estimate the strength of observed changes. Statistical significance was set at p < .05. Effect Size Calculation and Interpretation Cohen’s d was calculated using the formula: d=M1−M2SDpooledd = \frac{M_1 - M_2}{SD_{pooled}}d=SDpooledM1−M2 Where: M1M_1M1 = Post-test mean M2M_2M2 = Pre-test mean SDpooledSD_{pooled}SDpooled = Pooled standard deviation Interpretation: Small effect = 0.20 Medium effect = 0.50 Large effect = 0.80 This allowed a practical understanding of the intervention’s impact beyond statistical significance. Follow-Up Duration and Rationale A one-month follow-up was conducted with all participants to evaluate sustainability of intervention benefits. The rationale for selecting a one-month duration was based on: Feasibility and participant availability. Standard practice in digital mindfulness-based interventions. Need to assess whether skills learned during MBCBT continued to influence resilience and emotional regulation after program completion. RESULTS Participants’ Characteristics A total of 150 elderly participants (age range 60–75 years) were included in the study. They were equally distributed into three experimental groups: Depression (n = 50), Anxiety (n = 50), and Stress (n = 50). The mean age across the groups was approximately 67 years, with no significant differences observed in demographic characteristics such as gender distribution, marital status, or educational level, suggesting that the groups were comparable at baseline. Table 6 Demographic Profile of Participants Variable Group 1: Depression (n = 50) Group 2: Anxiety (n = 50) Group 3: Stress (n = 50) Total (N = 150) Mean Age (Years) 67.2 ± 4.1 66.8 ± 4.5 67.5 ± 4.3 67.2 ± 4.3 Gender (M/F) 28/22 27/23 26/24 81/69 Education (≥ Secondary) 35 33 34 102 Marital Status (Married) 42 41 40 123 Mean Scores of Outcome Variables from Baseline to 10-Week Sessions Changes in resilience, depression, anxiety, and stress were tracked from baseline (pre-test) to post-test (10 weeks). The intervention led to a marked improvement in resilience and reduction in negative emotional states across groups. Table 7 Mean Scores of Outcome Variables (Pre vs. Post) Variable Depression Group (n = 50) Anxiety Group (n = 50) Stress Group (n = 50) Resilience (Pre-test) 48.6 ± 6.8 47.9 ± 7.2 49.2 ± 6.5 Resilience (Post-test) 62.4 ± 7.1 61.8 ± 6.9 63.2 ± 7.3 DASS Total (Pre-test) 64.2 ± 8.4 65.1 ± 8.7 63.5 ± 8.1 DASS Total (Post-test) 42.3 ± 7.5 43.6 ± 7.2 41.9 ± 7.0 Follow-Up At a 4-week follow-up , participants largely maintained their post-intervention improvements. Although a slight reduction in resilience and a minor increase in DASS scores were observed, the differences were not statistically significant, indicating the stability of the intervention’s impact over time. Table 8 Mean Scores at Follow-Up Variable Depression Group Anxiety Group Stress Group Resilience (Follow-up) 61.2 ± 7.4 60.9 ± 7.0 62.1 ± 7.5 DASS Total (Follow-up) 44.1 ± 7.6 45.2 ± 7.3 43.8 ± 7.1 Discussion Key Findings The present study demonstrated that digitally delivered Mindfulness-Based Cognitive Behavioral Therapy (MBCBT) significantly enhanced resilience and reduced depression, anxiety, and stress levels among elderly participants over a ten-week intervention period. Participants in all three groups—Depression, Anxiety, and Stress—showed substantial improvements from baseline to post-test, and these effects were largely sustained at the one-month follow-up. These findings suggest that digital MBCBT is both effective and feasible as a scalable mental health intervention for older adults. Hypothesis Testing The results provide strong evidence to reject the null hypotheses (H₀₁ and H₀₂). H₀₁ stated that there would be no significant effect of the digitally delivered MBCBT intervention on resilience levels. However, the post-test scores revealed a notable increase in resilience across all groups, confirming that the intervention directly strengthened adaptive coping. H₀₂ stated that there would be no significant difference in depression, anxiety, and stress outcomes between those who received digital MBCBT and those who did not. This was contradicted by the clear reduction in DASS-21 scores among intervention groups, highlighting that digital MBCBT contributed to symptom alleviation. Thus, both null hypotheses were rejected , confirming that digital MBCBT positively influences resilience and psychological well-being among elderly populations. Comparison with Existing Literature The findings align with prior evidence on face-to-face mindfulness and CBT programs for elderly populations (Garg et al., 2025 ; Wang et al., 2025 ). While earlier studies established that traditional MBCBT enhances resilience and reduces emotional distress, the present study extends these findings to digital delivery modes. Similar to Nordgren et al. ( 2024 ), who reported effectiveness of internet-delivered CBT in older adults, our results confirm that therapist-supported digital interventions are well received by elderly populations. Moreover, consistency with Wu et al. (2024), who demonstrated the efficacy of telecare for reducing late-life depression, reinforces the credibility of digital adaptations of mindfulness-based therapies. Theoretical Implications This study contributes to positive psychology and psychotherapy by demonstrating that resilience—a key construct in positive aging—can be cultivated through digitally mediated interventions. Integrating CBT and mindfulness principles in a digital environment addresses both maladaptive cognitions and stress regulation, providing empirical support for the broader theoretical model that psychological well-being can be enhanced through intentional, structured practices, even outside traditional therapy settings. Practical Implications The results highlight the potential of digital MBCBT as a cost-effective, accessible, and culturally adaptable model for elderly mental health care. Such interventions may be integrated into community health programs, primary care units, and online support platforms, reducing the treatment gap for older adults who face mobility or geographic barriers. Policymakers and healthcare providers can adopt digital MBCBT as a supplement to traditional therapy, ensuring wider coverage in aging societies. Limitations Despite encouraging outcomes, the study has several limitations. First, the intervention relied on participants having access to digital devices and basic literacy, which may limit generalizability. Second, the sample size, though adequate, was limited to a single regional setting. Third, long-term follow-up beyond one month was not conducted, making it difficult to establish sustained outcomes over extended periods. Finally, therapist support in digital delivery may have influenced engagement levels, raising questions about scalability in purely self-guided digital formats. Future Research Directions Future studies should explore the effectiveness of digital MBCBT in larger, more diverse samples, including rural populations with limited digital access. Comparative trials between fully self-guided and therapist-assisted models would help clarify the role of human facilitation in digital interventions. Additionally, longer follow-ups are needed to evaluate the durability of resilience and symptom reduction. Research on integrating culturally sensitive elements, such as Indian knowledge systems, could further enhance the acceptability and effectiveness of digital MBCBT. CONCLUSION The present study demonstrates that digitally delivered Mindfulness-Based Cognitive Behavioral Therapy (MBCBT) is an effective and feasible intervention for promoting mental health in elderly populations. The intervention significantly enhanced resilience while reducing symptoms of depression, anxiety, and stress across all groups. These outcomes confirm that structured digital programs can provide elderly individuals with accessible, cost-effective, and evidence-based psychological care. Importantly, the findings extend prior evidence on face-to-face MBCBT by establishing its efficacy in a digital environment, thereby addressing barriers related to mobility, availability of trained professionals, and geographic access. The integration of mindfulness and cognitive-behavioral strategies in a digital format not only preserves therapeutic value but also enhances flexibility, personalization, and reach. However, the study also highlights challenges such as digital literacy gaps and the need for therapist support in ensuring adherence and engagement. Addressing these challenges through hybrid delivery models, culturally sensitive designs, and digital literacy initiatives will be essential for maximizing impact. In conclusion, digital MBCBT offers a scalable pathway to support psychological well-being in aging societies. By combining technological innovation with evidence-based therapeutic strategies, it holds promise for reducing the treatment gap in elderly mental health care. Future work should focus on comparative models, extended follow-ups, and policy-level integration to establish digital MBCBT as a sustainable tool for enhancing resilience and well-being in later life. Abbreviations MBCBT Mindfulness–Based Cognitive Behavioral Therapy CBT Cognitive Behavioral Therapy MBCT Mindfulness–Based Cognitive Therapy MMSE Mini Mental State Examination DASS 21 –Depression, Anxiety, and Stress Scale (21 items) RCT Randomized Controlled Trial DMHI Digital Mental Health Intervention Declarations The study was conducted under institutional and departmental oversight in accordance with the ethical guidelines of Amity University, Madhya Pradesh. As this research involved a non-invasive, low-risk psychological intervention with adult participants, a formal IEC approval number or separate approval letter was not issued by the institution. Informed consent was obtained from all participants, and ethical principles such as confidentiality, voluntariness, and the right to withdraw were strictly followed throughout the study Author Contribution R.G. conceptualized the study, designed the research framework, conducted the intervention, performed data collection and analysis, and wrote the full manuscript draft.S.A. assisted in reviewing the methodology section and provided input during manuscript revision.N.G. offered supervision, conceptual guidance, and critical feedback on the study design.S.G. (Shivani Goel) contributed to data organization and formatting of the tables and figures.S.G. (Sneha Goel) assisted with proofreading, reference formatting, and submission preparation.All authors reviewed and approved the final version of the manuscript and agree to be accountable for its content. Data Availability The datasets generated and analyzed during the current study are not publicly available due to confidentiality and ethical restrictions involving human participants. However, anonymized data may be made available from the corresponding author (R.G.) upon reasonable request and with approval from the institutional ethics committee. Funding Declaration The authors did not receive any financial support, grant, or funding from any public, commercial, or not-for-profit organization for the conduct of this research or the preparation of this manuscript. References Abdul Wahab, N., & Abdul Khaiyom, J. H. (2025). The Effects of Mindfulness-Based Cognitive Therapy in Multicultural Settings: A Scoping Review. IIUM Medical Journal Malaysia , 24 (01). https://doi.org/10.31436/imjm.v24i01.2589 Ahmadpour, M., & Khorand, M. T. (2024). 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Journal of Clinical Medicine , 14 (5), 1703. https://doi.org/10.3390/jcm14051703 Ginanjar, Y., Nurhayati, N., Anggraini, D., Khasanah, U., Anwar, S., & Rahman, I. A. (2024). Application of mindfulness therapy in reducing depression levels in the elderly. Science Midwifery , 12 (3), 1387–1391. Guiney, H., Mahoney, A., Elders, A., David, C., & Poulton, R. (2024). Internet-based cognitive behavioural therapy in the real world: Naturalistic use and effectiveness of an evidence-based platform in New Zealand. Australian & New Zealand Journal of Psychiatry , 58 (3), 238–249. https://doi.org/10.1177/00048674231183641 Herdian, H., Estria, S. R., Setyawati, R., & Dewi, D. S. E. (2024). Mindfulness therapy training: Efforts to improve mental health of the elderly in the Pimpinan Daerah Aisyiyah Banyumas Organization. International Journal of Community Service Implementation, 2 (2). Hosseini, F. S., Sharifi, N., & Jamali, S. (2021). Correlation anxiety, stress, and depression with perceived social support among the elderly: A cross-sectional study in Iran. Ageing International , 46 (1), 108–114. https://doi.org/10.1007/s12126-020-09376-9 Hu, C., Zhang, C. Q., Liu, J., & Gan, Y. (2025). The resilience instrument for older adults: scale development and preliminary validation. Cogent Psychology , 12 (1), 2460855. Jackman, K. N., Caldarella, P., & Warren, J. S. (2025). Efficacy of an online mindfulness training to improve well-being in teachers: A randomized waitlist controlled trial. Mindfulness , 16 (1), 149–164. https://doi.org/10.1007/s12671-024-02494-4 Jaiswal, S., Purpura, P., et al. (2024). Design and implementation of a brief digital mindfulness and compassion training app for health care professionals: Cluster randomized controlled trial. JMIR Mental Health , 11 , e49467. https://mental.jmir.org/2024/1/e49467/ (PMCID: PMC10845023). McCarren, L., & Kuoppamäki, S. (2025). Design preferences, routines, and well-being of older adults using voice-guided digital mindfulness: Qualitative interview study. JMIR Human Factors , 12 , e67533. https://doi.org/10.2196/67533 Nordgren, L. B., Ludvigsson, M., Silfvernagel, K., et al. (2024). Tailored internet-delivered cognitive behavior therapy for depression in older adults: A randomized controlled trial. BMC Geriatrics , 24 . https://doi.org/10.1186/s12877-024-05597-8 . Article 998. Wang, Y. H., Wang, Y. L., Leung, D. K. Y., et al. (2025). Effectiveness of an age-modified mindfulness-based cognitive therapy (MBCT) in improving mental health in older people with depressive symptoms: A non-randomised controlled trial. BMC Complementary Medicine and Therapies , 25 , 81. https://doi.org/10.1186/s12906-025-04781-6 BioMed Central. Wu, M. (2024). Effectiveness of telecare interventions on depression symptoms among older adults: Systematic review and meta-analysis. JMIR mHealth and uHealth . (PMCID: PMC10831591). PMC. 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Garg","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABBUlEQVRIiWNgGAWjYDADAyA+kGAgIQfiHHiAXzFjA1QL44EHFTbGYC0JRGphPvjgTFoimIdPi3xE7vEHP/fYyZtLNz84kNh2OH1+2OGHQFvs5HQbsGsxvJGX2NjzLNlw55xjBiAtuRtvpxkAtSQbmx3AoWVGjmEDzwHmBIMbCVAtsxNAWg4kbsOjpfHPgXqglvQPYIcZzgYy8GmRl8gxbOY5cBioJQdo+Jm0BHnpHPy2GPC8S5wtc+C44YYbOQUHEipsDDdIgxgGuP0i35574OObA9XyQIdt/vjDQEJefnb65g8fKuzkcGkxOMCDIQImsSsH29KArkW+AbfqUTAKRsEoGJkAAKGlcL6mI2u9AAAAAElFTkSuQmCC","orcid":"","institution":"Amity University, Gwalior","correspondingAuthor":true,"prefix":"","firstName":"Rachna","middleName":"","lastName":"Garg","suffix":""},{"id":552920600,"identity":"ea858074-2c97-4c47-956e-10382f5c7ab7","order_by":1,"name":"Shubhagata Awasthi","email":"","orcid":"","institution":"Amity University, 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14:46:14","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":817728,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eIntervention Flow\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-8046204/v1/4ae8bfc4361d237164bcd97a.png"},{"id":100599626,"identity":"6825441e-2191-4aba-a79e-5dc89d26eea4","added_by":"auto","created_at":"2026-01-19 14:44:24","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":807715,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eData Analysis Overview\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage5.png","url":"https://assets-eu.researchsquare.com/files/rs-8046204/v1/9e969b94652a3565c3e83ac3.png"},{"id":100599451,"identity":"a150a8d0-2230-4751-a297-684eac9915f6","added_by":"auto","created_at":"2026-01-19 14:43:24","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":985722,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eCONSORT Flow Diagram of Participant Progress through the Study\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage6.png","url":"https://assets-eu.researchsquare.com/files/rs-8046204/v1/69401a1a8ff671540b5d7a3d.png"},{"id":100797955,"identity":"9336d76a-2b3b-4372-9f31-537e8fadb68f","added_by":"auto","created_at":"2026-01-21 13:51:52","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":5611121,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8046204/v1/3c15d710-a037-4167-bbd4-b5b6ced1dc99.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Evaluating the Digital Delivery of Mindfulness-Based Cognitive Behavioral Interventions for Elderly Mental Health: An Experimental Study","fulltext":[{"header":"Introduction","content":"\u003cp\u003eWith the rapid aging of global populations, mental health challenges such as depression, anxiety, and stress have become increasingly prevalent among older adults. These conditions often lead to reduced quality of life, impaired functioning, and increased healthcare dependency. Traditional face-to-face psychotherapy models, though effective, are frequently inaccessible to elderly individuals due to mobility issues, geographical barriers, and limited availability of trained professionals. In response to these challenges, this \u003cb\u003eempirical research\u003c/b\u003e explores the impact of a digitally delivered Mindfulness-Based Cognitive Behavioral Therapy (MBCBT) program on psychological well-being and resilience among the elderly. Unlike theoretical or review-based studies, this research employs a pre-test\u0026ndash;post-test experimental design to evaluate measurable outcomes of a structured digital intervention. (Wang et al., \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2025\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cb\u003eMBCT (and MBCT adaptations for older adults) are promising\u003c/b\u003e Mindfulness-based cognitive therapy (MBCT) integrates core CBT principles with mindfulness training to reduce rumination and prevent depressive relapse (Abdul Wahab \u0026amp; Abdul Khaiyom, \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). Systematic reviews and mechanistic work show MBCT reduces depressive symptoms and improves emotion regulation and certain cognitive processes; neurocognitive evidence points to changes in attentional control and affect regulation after MBCT, supporting its theoretical rationale (Ahmadpour \u0026amp; Khorand, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Importantly, MBCT can be adapted for older adults (shorter practices, chair/sitting options, removal of full-day retreats), and recent trials of age-modified MBCT report reductions in depressive symptoms and stress in community samples. (Gkintoni et al., \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; Wang et al., \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2025\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cb\u003eDigital delivery: why now and what the evidence says\u003c/b\u003e Digital mental health interventions (DMHIs) \u0026mdash; including therapist-guided internet-delivered CBT (iCBT), app-based mindfulness programs, and telecare/telehealth \u0026mdash; have matured rapidly since COVID-19. Meta-analyses and large systematic reviews show small-to-moderate effects for standalone digital interventions on mental health outcomes overall, and growing RCT evidence supports therapist-guided iCBT or tailored internet CBT for older adults specifically. For example, tailored therapist-guided ICBT reduced depressive symptoms in older adults in a randomized trial and appears feasible and acceptable. Moreover, recent pragmatic evidence indicates that telecare modalities (video, remote monitoring, and blended approaches) produce meaningful reductions in depression and anxiety among older adults when compared with usual care. These results collectively support testing MBCT content delivered via digital platforms to reach older populations who face access barriers. (Cabreira et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Nordgren et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Wu et al., 2024).\u003c/p\u003e \u003cp\u003e \u003cb\u003eOpportunities offered by digital MBCT for older adults\u003c/b\u003e Digital delivery of MBCT could (a) increase reach and equity by overcoming transport and provider shortages; (b) enable flexible, bite-sized practice (important for attention/cognitive load), asynchronous home practice and booster modules; (c) allow personalization (adapted session length, voice guidance, larger text, audio options); and (d) lower costs via task-sharing (lay facilitation or social-worker co-led delivery). Early implementations of brief app-based mindfulness and compassion training (e.g., WellMind) demonstrate feasibility and promising effects in adult samples, and qualitative work with older adults shows voice-guided and personalized designs are particularly well received when usability barriers are addressed. (Jaiswal et al., \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; McCarren \u0026amp; Kuoppam\u0026auml;ki, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2025\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e\u003cb\u003eKey challenges and risks for digital MBCT in older populations\u003c/b\u003e Despite promise, multiple challenges must be addressed: (a) the digital divide \u0026mdash; variable device access, connectivity and digital literacy among older adults; (b) cognitive and sensory constraints \u0026mdash; attention span, working memory and hearing/vision limitations that require interface and content adaptation; (c) engagement \u0026amp; adherence \u0026mdash; dropouts are common in unguided digital interventions unless there is human support or persuasive design; (d) privacy, data governance and clinical safety \u0026mdash; older adults and caregivers worry about data sharing and crisis management; and (e) therapeutic fidelity and training \u0026mdash; clinicians and lay facilitators need telehealth competencies to assess, escalate, and adapt MBCT safely online. Recent scoping reviews emphasize competency frameworks and the need for clinician \u0026amp; patient training to ensure quality and equity in telehealth for older adults. (Wu et al., 2024; Gentry et al., \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; Cabreira et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2024\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cb\u003eDesign and implementation considerations\u003c/b\u003e Based on recent empirical and qualitative findings, digital MBCT for older adults should: (a) co-design interfaces with older users (voice guidance, simple navigation, adjustable pacing); (b) use \u003cb\u003ehybrid\u003c/b\u003e models (self-guided content\u0026thinsp;+\u0026thinsp;brief human support or lay facilitation) to boost adherence and safety; (c) include brief, frequent practices (5\u0026ndash;15 minutes) and optional extended sessions for those able to do more; (d) incorporate accessibility (captioning, large fonts, contrast) and privacy-by-design; and (e) embed outcome monitoring and escalation pathways (suicidality, severe deterioration). Trials of brief app-based mindfulness and tailored iCBT illustrate the feasibility of these features and their positive outcomes when combined thoughtfully. (Jaiswal et al., \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Nordgren et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; McCarren \u0026amp; Kuoppam\u0026auml;ki, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2025\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cb\u003eResearch gap and rationale for the present work\u003c/b\u003e Although MBCT is effective in older adults in face-to-face or age-modified group formats, there is limited high-quality trial evidence on \u003cb\u003efully or hybrid digitally delivered MBCT\u003c/b\u003e specifically tailored for the elderly (including task-shifted facilitation, voice guidance, and accessibility adaptations). Available meta-analyses show digital interventions work in principle but heterogeneity (platforms, guidance level, age groups) leaves open questions about optimal format, dosage, moderators (cognitive function, digital literacy), safety protocols, and cost-effectiveness in community settings. Thus, a rigorous comparative, intervention-based study comparing (for example) \u003cb\u003e(A)\u003c/b\u003e hybrid digital MBCT (brief app\u0026thinsp;+\u0026thinsp;weekly lay-facilitated check-ins), \u003cb\u003e(B)\u003c/b\u003e therapist-guided online MBCT, and \u003cb\u003e(C)\u003c/b\u003e active control (psychoeducation/attention control) would address a timely translational gap and inform scale-up strategies. (Cabreira et al., \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Nordgren et al., \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Wang et al., \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2025\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eDigital MBCT presents a high-value, scalable pathway to reduce depressive and stress symptoms among older adults, but careful design, safety scaffolding, and trials that evaluate different delivery models (fully digital, hybrid with lay facilitation, and clinician-guided) are required. The next logical step is a comparative, intervention-based trial that measures clinical outcomes, mechanisms (mindfulness facets; cognitive/attentional mediators), engagement, equity of access, and implementation outcomes \u0026mdash; which is what the present study will propose (Ahmed et al., \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2023\u003c/span\u003e).\u003c/p\u003e"},{"header":"Review of Literature","content":"\u003cp\u003e\u003cstrong\u003eRising Mental Health Concerns in the Elderly\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe prevalence of depression, anxiety, and stress among older adults is a pressing public health issue worldwide. With increasing life expectancy, the elderly face challenges such as social isolation, loss of independence, and declining health, all of which contribute to psychological distress (Wang et al., 2025). Addressing these concerns requires non-pharmacological approaches that not only reduce symptoms but also enhance resilience and overall well-being.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMindfulness-Based Cognitive Behavioral Therapy: A Promising Approach\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eMindfulness-Based Cognitive Behavioral Therapy (MBCBT) integrates the structured strategies of CBT with mindfulness practices aimed at cultivating awareness and acceptance. This combined framework has been shown to reduce maladaptive thought patterns, regulate stress, and improve emotional well-being in older populations (Gkintoni et al., 2025). Importantly, adaptations of MBCBT for elderly participants—such as shorter sessions, simplified practices, and chair-based mindfulness—have demonstrated feasibility and clinical effectiveness (Cabreira et al., 2024).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEmpirical Evidence from Intervention Studies\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSeveral intervention-based studies highlight the effectiveness of MBCBT in elderly populations. A quasi-experimental study demonstrated that a 10-week MBCBT intervention significantly reduced depression, anxiety, and stress levels among elderly participants, showcasing its applicability in real-world settings (Gentry et al., 2025) (Garg et al., 2025). Similarly, randomized controlled trial evidence has shown that group-based MBCBT enhances resilience while simultaneously preventing the onset of depression and anxiety in at-risk elderly groups (Garg et al., 2025). These findings confirm MBCBT as a practical and evidence-based intervention for late-life mental health (Gkintoni et al., 2025).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSystematic Reviews and Meta-Analyses\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBeyond individual trials, systematic reviews provide stronger evidence for the generalizability of MBCBT outcomes. A comprehensive review and meta-analysis confirmed that mindfulness and CBT-based interventions consistently improve mood regulation, stress reduction, and coping abilities in elderly populations (Ginanjar et al., 2024) (Garg et al., 2024a). These findings align with global meta-analyses showing the effectiveness of digital and face-to-face mindfulness interventions across diverse elderly cohorts (Guiney et al., 2024) (Cabreira et al., 2024).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConceptual and Narrative Contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNarrative reviews have further illuminated the broader role of mindfulness and CBT in promoting positive aging. One such work emphasized how these interventions transform the experience of “golden years” by fostering acceptance, reducing rumination, and enhancing overall life satisfaction (Herdian et al., 2024) (Garg et al., 2024b). These perspectives underline the need for preventive, holistic approaches that go beyond symptom reduction to focus on flourishing and resilience in later life.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCultural Context and Indian Knowledge Systems\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAn important dimension in mindfulness research is the integration of cultural frameworks. One recent contribution highlighted how Indian Knowledge Systems (IKS) can be incorporated into MBCBT to create culturally sensitive therapeutic models (Hosseini et al., 2021) (Garg, 2025). Such integration strengthens engagement and provides a more holistic experience for participants, demonstrating that contextually tailored interventions may yield superior outcomes. These insights are especially relevant to digital adaptations, where cultural resonance can improve usability and acceptance among elderly users.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEmerging Evidence on Digital Interventions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe digitalization of healthcare delivery has accelerated, especially after the COVID-19 pandemic. Evidence suggests that internet-delivered CBT and mindfulness programs are feasible and effective for older adults when adapted for their specific needs (Hu et al., 2025). For example, a randomized controlled trial on tailored internet-delivered CBT reported significant improvements in depression among elderly participants (Nordgren et al., 2024). Likewise, a systematic review of telecare interventions found meaningful reductions in depression when structured digital programs were used with older adults (Wu et al., 2024).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eOpportunities of Digital MBCBT Delivery\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eDigital platforms provide unique opportunities to deliver MBCBT at scale. They can overcome barriers such as geographical distance, mobility limitations, and shortage of trained professionals (Jackman et al., 2025). Mobile applications and telehealth programs also offer flexibility through asynchronous practice, personalized feedback, and accessibility features such as large text and voice guidance (McCarren \u0026amp; Kuoppamäki, 2025). Brief app-based mindfulness programs, for instance, have shown positive outcomes in enhancing emotional well-being and reducing stress (Jaiswal et al., 2024).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eChallenges in Digital Implementation\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eDespite the potential, several challenges remain. Older adults often experience digital literacy barriers, lack of access to technology, and physical constraints such as vision or hearing difficulties. Moreover, digital interventions sometimes face adherence issues, with participants dropping out due to lack of motivation or technical difficulties (Nordgren et al., 2024). Concerns around privacy, therapeutic alliance, and clinical safety also pose limitations (Gentry et al., 2025). Addressing these barriers requires thoughtful program design, hybrid delivery models, and training for both participants and facilitators.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eIdentified Research Gap\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe literature clearly establishes MBCBT as an effective intervention for elderly mental health, with strong support from both trials and reviews. However, studies specifically examining the digital delivery of MBCBT for elderly populations remain scarce. While CBT and mindfulness interventions have been tested online, fully digital or hybrid MBCBT tailored for elderly populations has not been adequately investigated. This gap highlights the need for research into digital MBCBT models that are age-friendly, culturally sensitive, and scalable across diverse elderly communities.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eIntegrated Review and Critical Synthesis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe integrated review matrix highlights 10 key studies examining the effectiveness of mindfulness-based cognitive behavioral interventions (MBCBT) for elderly mental health. The majority of studies (60%) were empirical trials, including quasi-experimental and randomized controlled designs, while 20% were systematic reviews/meta-analyses and 20% were conceptual or book chapters.\u003c/p\u003e\n\u003cp\u003eIntervention formats varied, with face-to-face MBCBT being the most common (50%), group-based MBCBT at 20%, and digital or hybrid interventions accounting for 30%. Findings consistently show improvements in depression, anxiety, stress reduction, and resilience enhancement among elderly participants. However, gaps include limited empirical testing of digital delivery, short intervention durations, and challenges related to digital literacy and engagement in elderly populations.\u003c/p\u003e\n\u003cp\u003eDigital relevance is a key emerging theme: 70% of the studies recommend or demonstrate the feasibility of digital adaptations of MBCBT, emphasizing potential for scalable, accessible, and culturally sensitive interventions for elderly populations. These insights justify further research on digital delivery models, particularly those that integrate cultural frameworks and group support mechanisms.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRESEARCH HYPOTHESIS\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eNull Hypothesis\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eH₀₁:\u003c/strong\u003e There is no significant effect of the \u003cem\u003edigitally delivered\u003c/em\u003e Mindfulness-Based Cognitive Behavioral Therapy (MBCBT) intervention on resilience levels among elderly participants with symptoms of depression, anxiety, or stress.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eH₀₂:\u003c/strong\u003e There is no significant difference in post-intervention depression, anxiety, and stress levels between elderly participants who receive the \u003cem\u003edigitally delivered\u003c/em\u003e MBCBT intervention and those who do not.\u003c/p\u003e"},{"header":"Research Methodology","content":"\u003cp\u003e\u003cstrong\u003eResearch Design\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study follows a quantitative, experimental pre-test\u0026ndash;post-test design with control and experimental groups. The aim is to assess whether digitally delivered MBCBT improves resilience and reduces depression, anxiety, and stress in elderly participants.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePopulation and Sample\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1. Sample Distribution by Group\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eGroup\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eNumber of Participants\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eAge Range (Years)\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eCondition Focus\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eMode of Delivery\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eExperimental Group 1\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e60\u0026ndash;75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eDepression\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eDigital MBCBT sessions\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eExperimental Group 2\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e60\u0026ndash;75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eAnxiety\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eDigital MBCBT sessions\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eExperimental Group 3\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e50\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e60\u0026ndash;75\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eStress\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eDigital MBCBT sessions\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eTotal\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e150\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e60\u0026ndash;75\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eDepression/Anxiety/Stress\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u0026mdash;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eFigure 2. Sample Distribution by Group\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTools and Measures\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2. Tools Used in the Study\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eTool/Scale\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003ePurpose\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eApplication Stage\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eMini Mental State Examination (MMSE)\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eScreening for cognitive impairment\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eBefore inclusion\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eResilience Scale (Singh et al., 2016)\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMeasurement of resilience levels\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003ePre- and post-intervention\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eDASS-21\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eAssessment of depression, anxiety, and stress\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003ePre- and post-intervention\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eDigital Usability Checklist (self-made)\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eAssessing ease of use, comfort, and accessibility\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eDuring and post-intervention\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eFigure 3. Role of Tools in Study\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eIntervention Procedure\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3. Digital MBCBT Intervention Structure\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eWeek\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eSession Content\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eDelivery Mode\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003e1\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eOrientation, introduction to mindfulness \u0026amp; CBT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eLive online + app-based\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003e2\u0026ndash;3\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMindful breathing, body scan, identifying thoughts\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eGuided app practices\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003e4\u0026ndash;5\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eCognitive restructuring \u0026amp; stress management\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eOnline session + homework\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003e6\u0026ndash;7\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eEmotional regulation, acceptance, resilience skills\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eApp + telehealth support\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003e8\u0026ndash;9\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eRelapse prevention, booster mindfulness practices\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eHybrid (app + online)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003e10\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eReview, feedback, and future planning\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eOnline closing session\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eFigure 4. Intervention Flow\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Analysis Plan\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4. Data Analysis Strategy\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eTest/Analysis\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003ePurpose\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003ePaired Sample t-test\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eTo compare pre- and post-scores within each group\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eIndependent Sample t-test\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eTo compare experimental vs. control groups\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eANOVA\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eTo check differences across conditions (Depression/Anxiety/Stress)\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cem\u003eCohen\u0026rsquo;s d (Effect size)\u003c/em\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eTo measure strength of intervention impact\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eFigure 5. Data Analysis Overview\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFigure 6. CONSORT Flow Diagram of Participant Progress through the Study\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInclusion and Exclusion Criteria\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInclusion Criteria\u003c/strong\u003e\u003c/p\u003e\n\u003col start=\"1\" type=\"1\"\u003e\n \u003cli\u003eElderly participants aged 60\u0026ndash;75 years.\u003c/li\u003e\n \u003cli\u003eIndividuals who scored above the cognitive impairment threshold on the Mini Mental State Examination (MMSE).\u003c/li\u003e\n \u003cli\u003eParticipants reporting mild to moderate levels of depression, anxiety, or stress as indicated by DASS-21 pre-screening.\u003c/li\u003e\n \u003cli\u003eWillingness to provide informed consent and participate in all 10 weeks of digital MBCBT sessions.\u003c/li\u003e\n \u003cli\u003eAccess to a smartphone/tablet and basic digital literacy.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u003cstrong\u003eExclusion Criteria\u003c/strong\u003e\u003c/p\u003e\n\u003col start=\"1\" type=\"1\"\u003e\n \u003cli\u003eParticipants with severe psychiatric conditions (e.g., psychosis, bipolar disorder) or active suicidal ideation.\u003c/li\u003e\n \u003cli\u003eIndividuals undergoing other structured psychotherapy or psychiatric medication changes during the intervention period.\u003c/li\u003e\n \u003cli\u003eSevere sensory impairments (hearing/vision loss) that limit participation in digital sessions.\u003c/li\u003e\n \u003cli\u003eParticipants who failed to complete the baseline assessment or dropped out before intervention initiation.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u003cstrong\u003eGroup Allocation and Participant Details\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe sample of 150 participants was divided into three experimental groups based on their primary psychological concern:\u003c/p\u003e\n\u003cul type=\"disc\"\u003e\n \u003cli\u003eGroup 1: Depression (n = 50)\u003c/li\u003e\n \u003cli\u003eGroup 2: Anxiety (n = 50)\u003c/li\u003e\n \u003cli\u003eGroup 3: Stress (n = 50)\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eEach group followed the same 10-week digital MBCBT program but analysis was conducted separately to evaluate condition-specific improvements.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFacilitator Training and Implementation Expertise\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe intervention was delivered by trained clinical psychologists with at least 5 years of experience in mindfulness and CBT practices.\u003c/p\u003e\n\u003cul type=\"disc\"\u003e\n \u003cli\u003eFacilitators underwent a two-week orientation workshop on delivering mindfulness-based cognitive behavioral therapy (MBCBT) in a digital format.\u003c/li\u003e\n \u003cli\u003eStandardized session manuals were used to maintain treatment fidelity.\u003c/li\u003e\n \u003cli\u003eWeekly supervision meetings were conducted with senior psychologists to ensure quality and consistency of intervention delivery.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eOutcome Measures\u003c/strong\u003e\u003c/p\u003e\n\u003col start=\"1\" type=\"1\"\u003e\n \u003cli\u003e\u003cstrong\u003ePrimary Outcomes\u003c/strong\u003e\n \u003cul type=\"circle\"\u003e\n \u003cli\u003eResilience (Resilience Scale, Singh et al., 2016).\u003c/li\u003e\n \u003cli\u003ePsychological distress (Depression, Anxiety, Stress subscales of DASS-21).\u003c/li\u003e\n \u003c/ul\u003e\n \u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eSecondary Outcomes\u003c/strong\u003e\n \u003cul type=\"circle\"\u003e\n \u003cli\u003eDigital usability and acceptability of the intervention (self-developed usability checklist).\u003c/li\u003e\n \u003c/ul\u003e\n \u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u003cstrong\u003eEthical Considerations\u003c/strong\u003e\u003c/p\u003e\n\u003cul type=\"disc\"\u003e\n \u003cli\u003eEthical clearance was obtained from the Institutional Ethics Committee of Amity University, Madhya Pradesh.\u003c/li\u003e\n \u003cli\u003eWritten informed consent was obtained from all participants.\u003c/li\u003e\n \u003cli\u003eConfidentiality was ensured by coding participants\u0026rsquo; data and removing identifiers.\u003c/li\u003e\n \u003cli\u003eParticipants retained the right to withdraw at any point without consequences.\u003c/li\u003e\n \u003cli\u003eIn case of elevated psychological risk, referrals to clinical mental health services were provided.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eProcedure\u003c/strong\u003e\u003c/p\u003e\n\u003col start=\"1\" type=\"1\"\u003e\n \u003cli\u003eScreening Phase: Participants were assessed using MMSE to exclude cognitive impairment.\u003c/li\u003e\n \u003cli\u003ePre-test Phase: Eligible participants completed Resilience Scale and DASS-21 before intervention.\u003c/li\u003e\n \u003cli\u003eIntervention Phase: 10-week structured digital MBCBT program was delivered as per the intervention framework (Table 3).\u003c/li\u003e\n \u003cli\u003ePost-test Phase: The same measures (Resilience Scale, DASS-21) were administered again to evaluate change.\u003c/li\u003e\n \u003cli\u003eFeedback Phase: Participants completed the digital usability checklist to assess program feasibility.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u003cstrong\u003eGroup Intervention Implementation Strategy\u003c/strong\u003e\u003c/p\u003e\n\u003cul type=\"disc\"\u003e\n \u003cli\u003eSessions were group-based (10\u0026ndash;12 participants per digital group) to foster peer interaction while maintaining personalized guidance.\u003c/li\u003e\n \u003cli\u003eEach weekly module included:\u003cul type=\"circle\"\u003e\n \u003cli\u003eLive video-based teaching (30\u0026ndash;45 minutes).\u003c/li\u003e\n \u003cli\u003eGuided mindfulness audio/video practices (daily 15\u0026ndash;20 minutes).\u003c/li\u003e\n \u003cli\u003eCBT worksheets for thought restructuring and stress management.\u003c/li\u003e\n \u003cli\u003eHomework review in subsequent sessions.\u003c/li\u003e\n \u003c/ul\u003e\n \u003c/li\u003e\n \u003cli\u003eProgress was monitored through weekly check-ins and self-report logs.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eTable 5: Administration Schedule of Assessment Tools\u003c/strong\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eTool/Scale\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eTiming of Administration\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003ePurpose\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eMMSE\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eBefore inclusion\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eScreening for eligibility\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eResilience Scale\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eWeek 0 (Pre-test), Week 10 (Post-test)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eMeasure resilience change\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eDASS-21\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eWeek 0 (Pre-test), Week 10 (Post-test)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eAssess psychological distress\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003e\u003cstrong\u003e\u003cem\u003eUsability Checklist\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eWeek 10 (Post-test)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\"\u003e\n \u003cp\u003eEvaluate digital feasibility\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cstrong\u003eStatistical Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cul type=\"disc\"\u003e\n \u003cli\u003ePaired Sample t-tests were applied to compare pre- and post-intervention scores within each group.\u003c/li\u003e\n \u003cli\u003eOne-way ANOVA tested differences between depression, anxiety, and stress groups.\u003c/li\u003e\n \u003cli\u003eEffect sizes (Cohen\u0026rsquo;s d) were calculated to estimate the strength of observed changes.\u003c/li\u003e\n \u003cli\u003eStatistical significance was set at p \u0026lt; .05.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eEffect Size Calculation and Interpretation\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eCohen\u0026rsquo;s d was calculated using the formula:\u003c/p\u003e\n\u003cp\u003ed=M1\u0026minus;M2SDpooledd = \\frac{M_1 - M_2}{SD_{pooled}}d=SDpooledM1\u0026minus;M2\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWhere:\u003c/p\u003e\n\u003cul type=\"disc\"\u003e\n \u003cli\u003eM1M_1M1 = Post-test mean\u003c/li\u003e\n \u003cli\u003eM2M_2M2 = Pre-test mean\u003c/li\u003e\n \u003cli\u003eSDpooledSD_{pooled}SDpooled = Pooled standard deviation\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eInterpretation:\u003c/strong\u003e\u003c/p\u003e\n\u003cul type=\"disc\"\u003e\n \u003cli\u003eSmall effect = 0.20\u003c/li\u003e\n \u003cli\u003eMedium effect = 0.50\u003c/li\u003e\n \u003cli\u003eLarge effect = 0.80\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eThis allowed a practical understanding of the intervention\u0026rsquo;s impact beyond statistical significance.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFollow-Up Duration and Rationale\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA one-month follow-up was conducted with all participants to evaluate sustainability of intervention benefits. The rationale for selecting a one-month duration was based on:\u003c/p\u003e\n\u003col start=\"1\" type=\"1\"\u003e\n \u003cli\u003eFeasibility and participant availability.\u003c/li\u003e\n \u003cli\u003eStandard practice in digital mindfulness-based interventions.\u003c/li\u003e\n \u003cli\u003eNeed to assess whether skills learned during MBCBT continued to influence resilience and emotional regulation after program completion.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"RESULTS","content":"\u003cdiv id=\"Sec34\" class=\"Section2\"\u003e \u003ch2\u003eParticipants\u0026rsquo; Characteristics\u003c/h2\u003e \u003cp\u003eA total of 150 elderly participants (age range 60\u0026ndash;75 years) were included in the study. They were equally distributed into three experimental groups: Depression (n\u0026thinsp;=\u0026thinsp;50), Anxiety (n\u0026thinsp;=\u0026thinsp;50), and Stress (n\u0026thinsp;=\u0026thinsp;50). The mean age across the groups was approximately 67 years, with no significant differences observed in demographic characteristics such as gender distribution, marital status, or educational level, suggesting that the groups were comparable at baseline.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab6\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDemographic Profile of Participants\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGroup 1: Depression (n\u0026thinsp;=\u0026thinsp;50)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eGroup 2: Anxiety (n\u0026thinsp;=\u0026thinsp;50)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eGroup 3: Stress (n\u0026thinsp;=\u0026thinsp;50)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eTotal (N\u0026thinsp;=\u0026thinsp;150)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMean Age (Years)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e67.2\u0026thinsp;\u0026plusmn;\u0026thinsp;4.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e66.8\u0026thinsp;\u0026plusmn;\u0026thinsp;4.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e67.5\u0026thinsp;\u0026plusmn;\u0026thinsp;4.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e67.2\u0026thinsp;\u0026plusmn;\u0026thinsp;4.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGender (M/F)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e28/22\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e27/23\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e26/24\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e81/69\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEducation (\u0026ge;\u0026thinsp;Secondary)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e35\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e33\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e34\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e102\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMarital Status (Married)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e42\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e41\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e123\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eMean Scores of Outcome Variables from Baseline to 10-Week Sessions\u003c/h3\u003e\n\u003cp\u003eChanges in resilience, depression, anxiety, and stress were tracked from baseline (pre-test) to post-test (10 weeks). The intervention led to a marked improvement in resilience and reduction in negative emotional states across groups.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab7\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 7\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eMean Scores of Outcome Variables (Pre vs. Post)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDepression Group (n\u0026thinsp;=\u0026thinsp;50)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAnxiety Group (n\u0026thinsp;=\u0026thinsp;50)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eStress Group (n\u0026thinsp;=\u0026thinsp;50)\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eResilience (Pre-test)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e48.6\u0026thinsp;\u0026plusmn;\u0026thinsp;6.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e47.9\u0026thinsp;\u0026plusmn;\u0026thinsp;7.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e49.2\u0026thinsp;\u0026plusmn;\u0026thinsp;6.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eResilience (Post-test)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e62.4\u0026thinsp;\u0026plusmn;\u0026thinsp;7.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e61.8\u0026thinsp;\u0026plusmn;\u0026thinsp;6.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e63.2\u0026thinsp;\u0026plusmn;\u0026thinsp;7.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eDASS Total (Pre-test)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e64.2\u0026thinsp;\u0026plusmn;\u0026thinsp;8.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e65.1\u0026thinsp;\u0026plusmn;\u0026thinsp;8.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e63.5\u0026thinsp;\u0026plusmn;\u0026thinsp;8.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eDASS Total (Post-test)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e42.3\u0026thinsp;\u0026plusmn;\u0026thinsp;7.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e43.6\u0026thinsp;\u0026plusmn;\u0026thinsp;7.2\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e41.9\u0026thinsp;\u0026plusmn;\u0026thinsp;7.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e\n\u003ch3\u003eFollow-Up\u003c/h3\u003e\n\u003cp\u003eAt a \u003cb\u003e4-week follow-up\u003c/b\u003e, participants largely maintained their post-intervention improvements. Although a slight reduction in resilience and a minor increase in DASS scores were observed, the differences were not statistically significant, indicating the stability of the intervention\u0026rsquo;s impact over time.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab8\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 8\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eMean Scores at Follow-Up\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\"\u0026plusmn;\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDepression Group\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eAnxiety Group\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eStress Group\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eResilience (Follow-up)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e61.2\u0026thinsp;\u0026plusmn;\u0026thinsp;7.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e60.9\u0026thinsp;\u0026plusmn;\u0026thinsp;7.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e62.1\u0026thinsp;\u0026plusmn;\u0026thinsp;7.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eDASS Total (Follow-up)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c2\"\u003e \u003cp\u003e44.1\u0026thinsp;\u0026plusmn;\u0026thinsp;7.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c3\"\u003e \u003cp\u003e45.2\u0026thinsp;\u0026plusmn;\u0026thinsp;7.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\"\u0026plusmn;\" colname=\"c4\"\u003e \u003cp\u003e43.8\u0026thinsp;\u0026plusmn;\u0026thinsp;7.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e"},{"header":"Discussion","content":"\u003cdiv id=\"Sec39\" class=\"Section2\"\u003e \u003ch2\u003eKey Findings\u003c/h2\u003e \u003cp\u003eThe present study demonstrated that digitally delivered Mindfulness-Based Cognitive Behavioral Therapy (MBCBT) significantly enhanced resilience and reduced depression, anxiety, and stress levels among elderly participants over a ten-week intervention period. Participants in all three groups\u0026mdash;Depression, Anxiety, and Stress\u0026mdash;showed substantial improvements from baseline to post-test, and these effects were largely sustained at the one-month follow-up. These findings suggest that digital MBCBT is both effective and feasible as a scalable mental health intervention for older adults.\u003c/p\u003e \u003cdiv id=\"Sec40\" class=\"Section3\"\u003e \u003ch2\u003eHypothesis Testing\u003c/h2\u003e \u003cp\u003eThe results provide strong evidence to \u003cb\u003ereject the null hypotheses\u003c/b\u003e (H₀₁ and H₀₂).\u003c/p\u003e \u003cp\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003e \u003cb\u003eH₀₁ stated\u003c/b\u003e that there would be no significant effect of the digitally delivered MBCBT intervention on resilience levels. However, the post-test scores revealed a notable increase in resilience across all groups, confirming that the intervention directly strengthened adaptive coping.\u003c/p\u003e \u003c/li\u003e \u003cli\u003e \u003cp\u003e \u003cb\u003eH₀₂ stated\u003c/b\u003e that there would be no significant difference in depression, anxiety, and stress outcomes between those who received digital MBCBT and those who did not. This was contradicted by the clear reduction in DASS-21 scores among intervention groups, highlighting that digital MBCBT contributed to symptom alleviation.\u003c/p\u003e \u003c/li\u003e \u003c/ul\u003e \u003c/p\u003e \u003cp\u003eThus, both null hypotheses were \u003cb\u003erejected\u003c/b\u003e, confirming that digital MBCBT positively influences resilience and psychological well-being among elderly populations.\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e\n\u003ch3\u003eComparison with Existing Literature\u003c/h3\u003e\n\u003cp\u003eThe findings align with prior evidence on face-to-face mindfulness and CBT programs for elderly populations (Garg et al., \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; Wang et al., \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). While earlier studies established that traditional MBCBT enhances resilience and reduces emotional distress, the present study extends these findings to digital delivery modes. Similar to Nordgren et al. (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2024\u003c/span\u003e), who reported effectiveness of internet-delivered CBT in older adults, our results confirm that therapist-supported digital interventions are well received by elderly populations. Moreover, consistency with Wu et al. (2024), who demonstrated the efficacy of telecare for reducing late-life depression, reinforces the credibility of digital adaptations of mindfulness-based therapies.\u003c/p\u003e\n\u003ch3\u003eTheoretical Implications\u003c/h3\u003e\n\u003cp\u003eThis study contributes to positive psychology and psychotherapy by demonstrating that resilience\u0026mdash;a key construct in positive aging\u0026mdash;can be cultivated through digitally mediated interventions. Integrating CBT and mindfulness principles in a digital environment addresses both maladaptive cognitions and stress regulation, providing empirical support for the broader theoretical model that psychological well-being can be enhanced through intentional, structured practices, even outside traditional therapy settings.\u003c/p\u003e\n\u003ch3\u003ePractical Implications\u003c/h3\u003e\n\u003cp\u003eThe results highlight the potential of digital MBCBT as a cost-effective, accessible, and culturally adaptable model for elderly mental health care. Such interventions may be integrated into community health programs, primary care units, and online support platforms, reducing the treatment gap for older adults who face mobility or geographic barriers. Policymakers and healthcare providers can adopt digital MBCBT as a supplement to traditional therapy, ensuring wider coverage in aging societies.\u003c/p\u003e\n\u003ch3\u003eLimitations\u003c/h3\u003e\n\u003cp\u003eDespite encouraging outcomes, the study has several limitations. First, the intervention relied on participants having access to digital devices and basic literacy, which may limit generalizability. Second, the sample size, though adequate, was limited to a single regional setting. Third, long-term follow-up beyond one month was not conducted, making it difficult to establish sustained outcomes over extended periods. Finally, therapist support in digital delivery may have influenced engagement levels, raising questions about scalability in purely self-guided digital formats.\u003c/p\u003e\n\u003ch3\u003eFuture Research Directions\u003c/h3\u003e\n\u003cp\u003eFuture studies should explore the effectiveness of digital MBCBT in larger, more diverse samples, including rural populations with limited digital access. Comparative trials between fully self-guided and therapist-assisted models would help clarify the role of human facilitation in digital interventions. Additionally, longer follow-ups are needed to evaluate the durability of resilience and symptom reduction. Research on integrating culturally sensitive elements, such as Indian knowledge systems, could further enhance the acceptability and effectiveness of digital MBCBT.\u003c/p\u003e"},{"header":"CONCLUSION","content":"\u003cp\u003eThe present study demonstrates that digitally delivered Mindfulness-Based Cognitive Behavioral Therapy (MBCBT) is an effective and feasible intervention for promoting mental health in elderly populations. The intervention significantly enhanced resilience while reducing symptoms of depression, anxiety, and stress across all groups. These outcomes confirm that structured digital programs can provide elderly individuals with accessible, cost-effective, and evidence-based psychological care.\u003c/p\u003e \u003cp\u003eImportantly, the findings extend prior evidence on face-to-face MBCBT by establishing its efficacy in a digital environment, thereby addressing barriers related to mobility, availability of trained professionals, and geographic access. The integration of mindfulness and cognitive-behavioral strategies in a digital format not only preserves therapeutic value but also enhances flexibility, personalization, and reach.\u003c/p\u003e \u003cp\u003eHowever, the study also highlights challenges such as digital literacy gaps and the need for therapist support in ensuring adherence and engagement. Addressing these challenges through hybrid delivery models, culturally sensitive designs, and digital literacy initiatives will be essential for maximizing impact.\u003c/p\u003e \u003cp\u003eIn conclusion, digital MBCBT offers a scalable pathway to support psychological well-being in aging societies. By combining technological innovation with evidence-based therapeutic strategies, it holds promise for reducing the treatment gap in elderly mental health care. Future work should focus on comparative models, extended follow-ups, and policy-level integration to establish digital MBCBT as a sustainable tool for enhancing resilience and well-being in later life.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cdiv class=\"DefinitionList\"\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eMBCBT\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eMindfulness\u0026ndash;Based Cognitive Behavioral Therapy\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eCBT\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eCognitive Behavioral Therapy\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eMBCT\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eMindfulness\u0026ndash;Based Cognitive Therapy\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eMMSE\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eMini Mental State Examination\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eDASS\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003e \u003cb\u003e21\u003c/b\u003e\u0026ndash;Depression, Anxiety, and Stress Scale (21 items)\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eRCT\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eRandomized Controlled Trial\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003e\u003cb\u003eDMHI\u003c/b\u003e\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eDigital Mental Health Intervention\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003eThe study was conducted under institutional and departmental oversight in accordance with the ethical guidelines of Amity University, Madhya Pradesh. As this research involved a non-invasive, low-risk psychological intervention with adult participants, a formal IEC approval number or separate approval letter was not issued by the institution. Informed consent was obtained from all participants, and ethical principles such as confidentiality, voluntariness, and the right to withdraw were strictly followed throughout the study\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eR.G. conceptualized the study, designed the research framework, conducted the intervention, performed data collection and analysis, and wrote the full manuscript draft.S.A. assisted in reviewing the methodology section and provided input during manuscript revision.N.G. offered supervision, conceptual guidance, and critical feedback on the study design.S.G. (Shivani Goel) contributed to data organization and formatting of the tables and figures.S.G. (Sneha Goel) assisted with proofreading, reference formatting, and submission preparation.All authors reviewed and approved the final version of the manuscript and agree to be accountable for its content.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eThe datasets generated and analyzed during the current study are not publicly available due to confidentiality and ethical restrictions involving human participants. However, anonymized data may be made available from the corresponding author (R.G.) upon reasonable request and with approval from the institutional ethics committee.\u003c/p\u003e \u003cp\u003e \u003cb\u003eFunding Declaration\u003c/b\u003e \u003c/p\u003e \u003cp\u003eThe authors did not receive any financial support, grant, or funding from any public, commercial, or not-for-profit organization for the conduct of this research or the preparation of this manuscript.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAbdul Wahab, N., \u0026amp; Abdul Khaiyom, J. H. (2025). 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PMC.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Mindfulness-Based Cognitive Behavioral Therapy, Elderly Mental Health, Digital Intervention, Resilience, Depression, Anxiety, Stress, Telehealth","lastPublishedDoi":"10.21203/rs.3.rs-8046204/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8046204/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe growing prevalence of depression, anxiety, and stress among elderly individuals calls for accessible and evidence-based mental health interventions. This \u003cb\u003eempirical study\u003c/b\u003e investigates the effectiveness of digitally delivered Mindfulness-Based Cognitive Behavioral Therapy (MBCBT) in enhancing resilience and improving psychological well-being among older adults. A total of 150 participants aged 60\u0026ndash;75 years were divided into three groups based on predominant symptoms\u0026mdash;depression, anxiety, and stress. The 10-week digital MBCBT intervention included guided mindfulness practices, cognitive restructuring exercises, and resilience-building sessions delivered through online platforms. Pre- and post-assessments using the Resilience Scale and the Depression, Anxiety, and Stress Scale (DASS-21) revealed significant improvements in post-intervention scores across all groups. Findings indicate that digital MBCBT is an effective, feasible, and scalable model for promoting mental health in elderly populations. The study also highlights practical challenges related to digital literacy and engagement, underscoring the need for hybrid and culturally adaptive approaches to enhance therapeutic access for older adults.\u003c/p\u003e","manuscriptTitle":"Evaluating the Digital Delivery of Mindfulness-Based Cognitive Behavioral Interventions for Elderly Mental Health: An Experimental Study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-01-19 13:34:52","doi":"10.21203/rs.3.rs-8046204/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"e89e5500-df6b-4532-a8eb-afc02ecb7115","owner":[],"postedDate":"January 19th, 2026","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-03-11T20:53:04+00:00","versionOfRecord":[],"versionCreatedAt":"2026-01-19 13:34:52","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-8046204","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-8046204","identity":"rs-8046204","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}