Exploring the psychosocial needs and nutritional status of older adults with alcohol use disorder: A mixed-methods study (The OLA Study)

Exploring the psychosocial needs and nutritional status of older adults with alcohol use disorder: A mixed-methods study (The OLA Study) | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Exploring the psychosocial needs and nutritional status of older adults with alcohol use disorder: A mixed-methods study (The OLA Study) Stephanie Hughes, Rebecca Band, Zarah Linssen, Sophie Crouzet, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7176063/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 7 You are reading this latest preprint version Abstract Background Alcohol-related hospital admissions are rising in England, particularly among individuals aged 65 and over. While alcohol intake and nutritional status are important factors in health outcomes, they are often overlooked. Loneliness, also common in this age group, is associated with poorer health and increased mortality. Objectives To explore the clinical and sociodemographic characteristics, and nutritional status of older adults with alcohol use disorder (AUD) admitted to hospital. Methods Participants were recruited from a UK tertiary teaching hospital and identified as drinking at increased risk using routine AUDIT-C alcohol screening. Measures including 6CIT (Six-item Cognitive Impairment Test), Depression and anxiety (HADS), 24-hour Dietary Recall, Social network composition, De Jong Loneliness Scale, and Meaning in life questionnaire were measured at baseline and 6 months. Qualitative telephone interviews were conducted at 6 months (n = 7). Qualitative data were analysed using reflexive thematic analysis. Results Thirty older adults (mean age 71) were recruited. Over half (53%) showed cognitive impairment and 50% met the threshold for clinical depression. Median intakes for 4 out of 5 (80%) macronutrients were below Recommended Nutrient Intake (RNI). Recruitment and retention were challenging; 46.7% of participants were lost to follow-up including 20% who died. Qualitative findings highlighted links between social isolation and alcohol consumption. Conclusion Addressing alcohol use in older adults requires a holistic approach that incorporates both health and social factors. Future research should focus on improving study retention, and further exploring the intersections between alcohol use, nutrition, and social connection. Alcohol older adults nutrition loneliness alcohol use disorder Figures Figure 1 Introduction Alcohol Use Disorder (AUD) contributes to over 200 health conditions [ 1 ]. 10,048 deaths from alcohol-specific causes were registered in 2022 in the UK, the highest figure on record [ 2 ]. Estimated figures from 2019–2020 suggest there are over 600,000 alcohol dependent adults in England [ 3 ], and this figure has risen since the COVID-19 pandemic [ 2 ]. Alcohol poses health risks to older adults, even at levels that may have been considered "safer" earlier in life [ 4 ]. Alcohol -related hospital admissions in England are rising and the proportion of those aged 65 and older has increased significantly[ 5 ]. It is well documented that AUD is a highly stigmatised condition[ 6 ], with research showing high levels of both internalized (felt) and external (enacted) stigma[ 7 ]. Stigma impacts both the medical and social consequences of individuals with AUD [ 6 ]. Compared to younger adults, older adults experience a greater sense of stigma and shame associated with problematic alcohol use[ 8 ]. Stigma and fear of being judged can hinder help seeking behaviour [ 8 ], and facilitate reluctance to participate in social activities [ 9 ], compounding feelings of loneliness (10). Loneliness is an unwelcome emotional state arising from the ‘perceived discrepancy between desired and actual social relationships’ [ 11 ] as well as insufficient connections, and a lack of social intimacy[ 12 ]. Factors contributing to loneliness include not having a spouse, a limited social network, low mood, self-perceived poor health, a low level of social activity and a limited social network [ 13 ]. Loneliness negatively impacts health and mortality outcomes[ 14 ] and older adults are particularly vulnerable to these consequences [ 15 ]. Specific to alcohol-related behaviour, research has demonstrated a clear but complex link between the number of social contacts a person has, whether those contacts consume alcohol and how supportive they are of an individual wishing to achieve and maintain abstinence [ 16 ]. Exploration of drinking behaviour must consider individual, contextual and social factors [ 4 ]. Among older adults, various psychosocial factors shape drinking behaviour, including life transitions like retirement and bereavement, social norms, and changes in self-identity [ 4 ]. While existing research into the treatment needs of working-age adults with AUD is well documented, there is a dearth of literature specific to older adults. A body of literature relating to health outcomes for older adults is developing, including literature exploring complex conditions such as multi-morbidity, frailty and falls [ 17 ], [ 18 ], [ 19 ]. Alcohol intake and nutritional status are especially relevant when considering health outcomes [ 19 ], especially in relation to falls, but are rarely considered. The most vulnerable members of society, such as older adults, are disproportionately affected by alcohol-related harms [ 20 ]. This vulnerability is worsened by poor nutritional status; malnutrition leads to increased mortality, morbidity and physical decline[ 21 ]. The combined impact of alcohol use and malnutrition in older adults remains underexplored. The OLA study takes a novel approach by holistically exploring the treatment needs of older adults with AUD, alongside the interaction with their nutritional status and degree of loneliness. Methods Ethical approval and consent to participate Ethical approval for this study was granted by West Midlands - Solihull Research Ethics Committee (23/WM/0080) and study procedures adhered to the Declaration of Helsinki. All participants provided informed consent to participate, and for publication of anonymised data. Study design and participants This is a mixed-methods longitudinal observational study of older adults (aged > 64) with AUD aiming to explore the clinical and sociodemographic characteristics and support needs after admission for acute hospital care. Potential participants were identified through admissions to University Hospital Southampton (UHS) in August 2023 – April 2024; those aged > 64 and identified as drinking at increased risk (scoring 4+) according to the Alcohol Use Disorders Identification Test Consumption (AUDIT-C) [ 22 ] were eligible for the study. Data collection Quantitative measures were completed at baseline (in hospital) and 3–6 months by telephone. These included: Alcohol Use Disorders Identification Test (AUDIT) [ 23 ], 6CIT (Six-item Cognitive Impairment Test) [ 24 ], Depression and anxiety (HADS) [ 25 ], 24-hour Dietary Recall [ 26 ], Social network composition, De Jong Loneliness Scale [ 27 ], Meaning in life questionnaire[ 28 ] and a review of the medical notes. In addition, at follow up outcome data included the SF-12 Mental and Physical Health composite scale score [ 29 ], The Timeline Followback (TLFB) [ 30 ], and Service use Inventory, as well as questionnaires assessing Self-efficacy [ 31 ], and Collective efficacy (CENS) [ 32 ]. Qualitative semi-structured telephone interviews with a subset of participants were conducted at 6 months to gain a richer insight into the topics covered by the questionnaire. A topic guide was used flexibly and amended iteratively throughout the data collection process. Interviews included a social network mapping exercise using the concentric circles method[ 33 ] to provide insight into who participants viewed as important in their daily lives. Data analysis Quantitative data analysis: Descriptive statistics were used to analyse baseline characteristics and the quantitative measures. Qualitative data analysis: Transcripts were analysed using reflexive thematic analysis[ 34 ], [ 35 ]. The analysis was led by SH with input from JS and RB throughout the process. Transcripts were read multiple times for familiarity and coded in NVivo. Similar codes were grouped together into broader themes while patterns, relationships and overarching narratives were explored. Research team discussions facilitated the refinement of themes throughout the process. Nutritional analysis: The Nutridata app[ 36 ], which provides nutritional information on the meals served in hospital, supported the coding of baseline data. Data from the diet timeline followback [ 30 ] were analysed using software called ‘myFood24’. Myfood24 is a comprehensive dietary software package that quantifies raw dietary intake data into numerical nutrient intakes. Its extensive database and strong content validity reduced systematic errors and enhanced the validity of the nutrient intake analysis[ 37 ]. The participant intakes of 32 nutrients were calculated as a percentage of the reference nutrient intakes (RNI) derived from the UK Government’s Dietary Recommendations and adjusted for age [ 38 ]. Results Characteristics of the study participants 30 participants were recruited to the study aged 65–91 (mean age of 71). Participants had a mean body mass index (BMI) of 24.1(range 16.7–50.2). 20 participants (67%) lived alone. Participant postcodes were used to calculate the Index of Multiple Deprivation (IMD) and indicated a variation in socioeconomic status with 36.7% of participants living in the most deprived quintile and 20% in the least deprived. See Table 1 for an overview of characteristics. Challenges in recruitment and retention Both recruitment and retention proved difficult in this study. Initially eligibility criteria required a referral to the Alcohol Care Team (ACT), but in the first 3 months, although 98 patients > 64 were referred to the ACT, only 27 (28%) were deemed clinically fit to be approached, and of these, 7 (26%) consented to take part. To improve recruitment rates, a substantial amendment to include all patients who scored 4 + on the AUDIT-C through routine screening were eligible to be approached with clinical permission. When the amendment was approved 23 more patients were recruited. 14 (46.7%) participants were lost to follow-up. 3 (10%) withdrew, 4 (13.3%) died between baseline and follow-up, and 7 (23.3%) were unreachable. Two further participants died shortly after follow-up (noted while reviewing medical notes) resulting in a mortality rate of 20% overall. Those lost to follow-up were similar to the sample overall in terms of alcohol consumption (AUDIT), cognitive impairment (6CIT), anxiety and depression (HADS). Quantitative results Due to the small sample size, statistical analysis was not powered to assess significant differences between baseline and follow-up scores. See Table 2 for the mean scores at baseline and follow-up and Table 3 for case analysis. AUDIT and AUDIT-C scores indicated high-risk drinking (mean = 17.1 and 8.2, respectively), although, the majority were not screened as drinking at dependent levels (AUDIT score > 20). At follow-up, scores decreased (on average) by one ‘drinking risk’ level to 12.3 and 4.9. 50% participants showed some level of cognitive impairment. Baseline HADS-A and HADS-D scores (mean = 7.5) were borderline, with 43.3% scoring as anxious and 50% with depressive symptoms. At follow-up, mean scores normalised, but 20% still showed levels of anxiety and 50% with ongoing depressive symptoms. Overall loneliness scores at both baseline and follow-up indicate our sample were ‘moderately lonely’. Scores on the Meaning of Life Questionnaire remained relatively stable, showing a moderate presence of meaning (21.0 to 21.7) and a slight increase in searching for meaning (2.7 to 2.9). The BSCQ (measured at follow-up) mean score of 68.0 indicates a moderate level of confidence in resisting alcohol across different situations. Scores for the collective efficacy scale can fall between 1 and 5 with higher scores indicating good perceived access to network support and perceived general network collective efficacy. The mean scores for this sample (measured at follow-up) were 4.0 for network responsiveness and 2.8 for collective efficacy. Participant social networks consisted of an average of 4 people (SD 2.5), with the majority of contacts being adult children. Nutrition results Overall, the dietary intake of nutrients among OLA participants was below the UK government's recommended reference nutrient intake (RNI), adjusted for age. Nutrient intake decreased at follow-up compared to baseline. At both baseline and follow-up, the median intakes (as a percentage of the RNI) for 4 out of 5 (80%) macronutrients were below the RNI (see Fig. 1 below). Qualitative results All participants who completed quantitative measures were approached for interview and 7 agreed. Table 4 shows the characteristics of these participants. The personal situation and alcohol consumption of participants in the qualitative study varied. Several factors impacted the elicited data, such as cognitive impairment, possible feelings of shame and stigma, inconsistency in responses, and participant defensiveness when discussing this sensitive topic. Participants described links between social isolation, loneliness and drinking alcohol. All participants considered their drinking to be 'non-problematic.' Social isolation and loneliness impact on problematic drinking behaviour Participants’ social contacts were limited with an average of around 4 people who were mostly siblings or adult children. 4 participants had one network member, and for one participant their only social contact was their cleaner. Some participants were unable to leave the house and had interactions only with those providing practical help, for example, with food shopping or meal preparation. The participants who were more mobile reported integration into the community and were socially active. Housebound participants with limited social networks all described having more people in their lives previously, and often had no particular reasons for the change, or viewing it as part of aging: Interviewer: “So there used to be a lot more people around?” PT022: “Yes”. Interviewer: “What happened to your friends and family?” PT022: “Well, it just disappeared over time. Got married or died. Whatever.” Interviewer: “How do you feel about that, the way that things have changed?” PT022: “That's life.” Another participant felt his reduction in friends was due to his poor health: PT013: “Before I had the cardiac arrest I used to talk and play cards with a couple of them (friends), but now they've… It's like they blank you, because you're not the same.” All participants rejected the idea that alcohol had any impact on their important relationships. For those who were socially isolated loneliness was common, with one participant describing this as a contributing factor to drinking alcohol: Interviewer: “Do you ever feel lonely?” PT026: “Yes.” Interviewer: “and how does that impact you?” PT026: “Probably I drink too much.” Those who were housebound, or mostly housebound admitted to drinking alcohol all day long, with one exception, who stated he has not consumed alcohol for 2 years since a health-related event. However, the answers this participant provided in their 6-month follow-up questionnaire do not match this narrative. Housebound participants did not have interests or enjoyable activities they were able to do at home, with most describing watching television, or doing nothing all day. Frustrations around mobility issues contributed to feelings of unfulfillment: Interviewer: “what do you normally do during the day?” PT018: “Sit in my chair, because I can't walk.” (irritated tone) The consequences of being housebound have been devastating for some, leading to a deep sense of despair: PT013: “I just wish they'd never fetched me back after the cardiac arrest because if I knew then what I was going to know now - that I've got to live like this - you know. I've got a DNR against me now from the hospital anyway, where … they wouldn't resuscitate if something did happen… You know, it's demoralising, really.” Those who were more mobile and socially active described themselves as not lonely and described different alcohol habits; One participant decided to stop drinking alcohol completely since the hospital admission when they were recruited to the study. Others described self-set rules around drinking alcohol only in the evenings or limiting themselves to one glass of wine with an evening meal. Although the sample was small, the impact of social isolation or cohesion on alcohol habits and mood were clearly described. Issues accurately measuring alcohol use Various factors impact the validity of the data collected in the interviews. Feelings of shame and stigmatization are common in people with AUD (6,7) and may impact on what people were prepared to say in both quantitative data collection and the interviews. In addition, participants living with cognitive impairment may be uncertain about aspects of their current situation. Often there was a discrepancy between the answers provided at the quantitative 6-month follow-up, and the qualitative interview conducted shortly afterwards. For example, one participant reported they drink alcohol 2–4 times a week in their 6-month questionnaire, but in the interview explained he has not consumed alcohol for 2 years since a significant health event. One participant appeared defensive and agitated when asked about her social network, her daily activities and her alcohol consumption. This barrier was hard to break down, and it is difficult to know how truthful her answers were. This same participant claimed ‘never’ to need their first drink of the day in the morning but admitted in the interview they usually start drinking “early, nine or ten o'clock, because I've been up probably two or three hours” PT026. Alcohol is not a problem All participants stated that alcohol was not, and never has been, a problem for them. Only one participant expressed the desire to reduce her alcohol intake, attributing her drinking to back pain: “I'd drink less brandy if I had more decent painkillers.” (PT026) One participant describes drinking port from approximately 10am onwards everyday; he said he has drunk this way since his teenage years, although probably drinks less now due to age. When asked how alcohol makes him feel he said “tired”. When asked to describe his relationship with alcohol he said: “I can take it or leave it. I've been in hospital for 15 weeks. I didn't miss it.” (PT022) Alcohol habits of participant social networks The people within the social networks of some participants drink alcohol, whereas others do not. One participant described being part of a culture where drinking alcohol was the norm throughout her lifetime: “I was brought up in a very social atmosphere and it's just continued through my life.” PT016 The same participant describes herself as a ‘social drinker’ and those close to her consume alcohol in a similar way: “I can't think of anybody we know that we mix with that doesn't particularly enjoy a drink.” PT016 However, some participants had members in their social circles who did not drink alcohol, and a couple of the participants appeared baffled by how little the younger generations in their family drink: “It seems a lot of young people, they don't. They're ever such goody two shoes. They don't go out. They don't have fun like I used to when I was a teenager going dancing.” PT026 One participant was particularly closed off and said her friends “have wine” but was not willing to discuss their drinking habits further. For participants with limited social networks, it was hard to establish whether there ever had been a social aspect to the way they drink alcohol. Discussion Summary of findings Our findings provide an initial insight into AUD, and alcohol consumption more broadly, in older adults. There was a notable mortality rate of 20% throughout the study period. This study highlights the challenges of recruiting and retaining participants within this population, offering valuable insights for future research. A key issue was the prevalence of cognitive impairment - both among those who took part and those deemed ineligible by clinical teams due to cognitive concerns. Our qualitative findings indicate; social isolation has an impact on alcohol consumption, self-report data in this group needs to be interpreted with caution, and that participants in this study did not feel their alcohol consumption was, or ever had been, a problem. Participant social networks consisted mostly of adult children who, according to the participants, either did not drink alcohol, or consumed very little. Overall, the participants’ nutritional status was poor in hospital and worsened once back home. Reflection on recruitment and retention It proved difficult to recruit to the study. Most older adults referred to the alcohol care team where too clinically unwell and cognitively impaired to be eligible. Of those who were, given the nature of acute hospital stays, there was a very brief window between patients being fit to take part and being discharged from hospital. Potential participants were given the study information to read, and adequate time to decide whether to take part (e.g. 24 hours) by which time they had been discharged, before the researchers were able to gain consent. Reasons for declining to take part were not recorded, however, based on researcher fieldnotes and drawing on previous literature the following are likely to contribute; feelings of stigma in relation to alcohol use are well documented and are especially prominent in older adults [ 6 ], [ 7 ], [ 8 ]. Interactions with potential participants were approached sensitively, however, to provide informed consent it was necessary they were made aware the study was exploring the topic of alcohol, and that they were eligible for the study because their alcohol use had been assessed as increased or higher risk. Those fearful of judgment about their alcohol consumption may have shied away from engaging in activities that explore their drinking patterns. One individual (with capacity) agreed to take part, but her daughter who visited later that day, persuaded her to withdraw. In addition, individuals who did not want to change their drinking habits may have feared participating in an alcohol study would initiate input from alcohol-related services. As our results corroborate, cognitive impairment in older adults with AUD is common [ 39 ], impacting recruitment rates. In addition to the recruitment difficulties, retention was impacted by a high dropout rate of 47%. Additionally, the mortality rate was considerable at 20%, further affecting follow-up. While it was not possible to determine the reasons for non-participation in follow-up among those who declined or were unreachable, insights into the role of shame within this population [ 40 ] offer a potential explanation. Some participants may have initially agreed to take part when speaking face-to-face with a clinician in a hospital setting, despite concerns about judgment, but later felt unable to provide follow-up data due to feelings of shame, particularly if they struggled to adhere to the advice given. Comparison to previous literature There is limited literature on the barriers to recruiting individuals with AUD into research; however, relevant insights can be drawn from studies on the recruitment of older adults. Our study's poor retention rates align with previous findings, which highlight that retention in older populations is often affected by illness, loss of interest, and mortality[ 41 ]. Additionally, prior research on recruitment barriers in older adults has identified that family members frequently discourage participation [ 41 ]. Our sample reported elevated levels of depression, corroborating the already established link between AUD and depressive disorder [ 42 ]. Co-occurrence is associated with greater severity and worse prognosis for both disorders [ 43 ], [ 44 ], [ 45 ]. Previous research has found connections between alcohol use and socialising among older adults, and that people often share the drinking habits of those closest to them [ 46 ], [ 47 ]. Our findings in this area were mixed, but the limited social networks of our sample may have influenced our results; While one participant described drinking in a sociable manner, and others reflected on past social drinking, the majority reported consuming alcohol alone, with their close circles drinking significantly less or abstaining altogether. Although our participants reported ‘good’ access to network support overall, our qualitative findings indicated those who were more socially isolated tended to drink alcohol differently to those who were not. This aligns with previous research suggesting older adults drink alcohol to relieve depression, loneliness [ 48 ] and boredom [ 49 ]. Results from the nutrition analysis were compared against the Scientific Advisory Committee on Nutrition’s report on community dwelling older adults [ 50 ]. Overall, older adults have a low dietary intake of nutrients, however, the OLA participants’ dietary intake of nutrients was notably lower, emphasising the complex intersection between alcohol, anorexia of ageing, poor health and nutritional status. Limitations The small sample size means the quantitative data needs to be viewed with caution, with limited generalisability of our findings to the wider population; participants were recruited from one hospital, lived in one geographical location within the UK, with a less ethnically diverse population. Nonetheless, participants in the study were from areas of highest to the lowest deprivation, as indicated by the index of multiple deprivation. As a small preliminary study, the insight provided by both the data and the study processes are invaluable in terms of generation of new knowledge to guide future research in this important area. The BSCQ was poorly understood by participants, raising concerns about the validity of the results. This questionnaire assessed participants’ confidence in resisting alcohol in various situations. However, many found the questions irrelevant, as they had no desire to refrain from drinking, making confidence a non-factor. Our results report a mean BMI for the sample; however, only two participants had their weight measured on admission, with calculations relying on patient-reported data, affecting accuracy. For other participants, BMI was derived from weight and height measurements in hospital notes, which may have been outdated due to weight fluctuations. Additionally, nutritional status was assessed using the TLFB self-report measure, making its accuracy uncertain, particularly given the high levels of cognitive impairment in our sample. Implications for future research Future research should carefully consider recruitment strategies to address resistance driven by stigma, as well as the challenges that health problems requiring hospital admission in older adults entail. Additionally, efforts to improve retention rates are essential. Given the limitations of our small sample, broader studies on alcohol use in older adults at the population level would help inform future alcohol-reduction interventions. To enhance data reliability, incorporating objective health assessments alongside self-reported measures is recommended. Exploring existing interventions that integrate both social and health-related aspects of AUD in older adults would be a valuable next step. By addressing the challenges identified in this study, future research can help develop more effective support pathways for this high-risk population. Conclusion This study provides valuable preliminary insights into AUD in older adults, highlighting key challenges in recruitment, retention, and data reliability. Our findings suggest that while participants reported good access to personal network support, social isolation played a critical role in shaping drinking behaviours. Additionally, the poor nutritional status observed within our sample highlights the complex intersection of alcohol use, ageing, and health outcomes, warranting further investigation. The high mortality rate observed emphasises the vulnerability of this population and underscores the need for tailored support and interventions, which are integrated into mainstream services. Barriers relating to shame and stigma must be carefully addressed in future studies to ensure robust and representative findings. Declarations Acknowledgements This study is funded by the National Institute for Health and Care Research ARC Wessex. The views expressed in this publication are those of the author(s) and not necessarily those of the National Institute for Health and Care Research or the Department of Health and Social Care. Funding This study is funded by the National Institute for Health and Care Research ARC Wessex (Grant number: NIHR200164). Clinical trial number Not applicable. Availability of Data and Materials The datasets generated and analysed during the current study are not publicly available due to the sensitive nature of the data and the need to protect participant confidentiality. In line with the conditions of ethical approval, anonymised data may be made available from the corresponding author upon reasonable request. Consent for publication Not Applicable References World Health Organisation, “Alcohol Fact Sheet.” Accessed: Jan. 09, 2025. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/alcohol Office for National Statistics, “Alcohol-specific deaths in the UK: registered in 2022,” 2024. Office for Health Improvement & Disparities, “Estimates of alcohol dependent adults in England summary - GOV,” 2024. B. K. Bareham, E. Kaner, L. P. Spencer, and B. Hanratty, “Drinking in later life: a systematic review and thematic synthesis of qualitative studies exploring older people’s perceptions and experiences,” Age Ageing , vol. 48, no. 1, pp. 134–146, Jan. 2019, doi: 10.1093/AGEING/AFY069. NHS Digital, “Part 1: Alcohol-related hospital admissions.” Accessed: Feb. 03, 2025. [Online]. Available: https://digital.nhs.uk/data-and-information/publications/statistical/statistics-on-alcohol/2021/part-1 G. Schomerus, M. Lucht, A. Holzinger, H. Matschinger, M. G. Carta, and M. C. Angermeyer, “The stigma of alcohol dependence compared with other mental disorders: A review of population studies,” Mar. 01, 2011, Oxford University Press . doi: 10.1093/alcalc/agq089. C. Phillips, R. Darch, and A. Farmbrough, “More than a ‘lifestyle’ choice? Does a patient’s use of alcohol affect professionals’ perceptions of harm and safeguarding responsibilities when it comes to self-neglect? A case study in alcohol-related liver disease,” https://doi.org/10.12968/gasn.2021.19.Sup6.S18 , vol. 19, pp. S18–S26, Jul. 2021, doi: 10.12968/GASN.2021.19.SUP6.S18. S. Galvani et al. , “Project evaluation Time of My Life: an Aquarius service supporting older people,” 2017. L. Baysan Arabaci, D. Ayakdaş Daǧli, G. Taş, and A. Büyükbayram Arslan, “Stigmatization and Social Functioning Levels of Patients with Alcohol Use Disorders,” J Addict Nurs , vol. 31, no. 4, pp. 295–301, Oct. 2020, doi: 10.1097/JAN.0000000000000370. I. Ingram et al. , “Loneliness among people with substance use problems: A narrative systematic review,” Drug Alcohol Rev , vol. 39, no. 5, pp. 447–483, Jul. 2020, doi: 10.1111/DAR.13064. P. E. McKenna-Plumley, J. M. Groarke, R. N. Turner, and K. Yang, “Experiences of loneliness: a study protocol for a systematic review and thematic synthesis of qualitative literature,” Syst Rev , vol. 9, no. 1, Dec. 2020, doi: 10.1186/s13643-020-01544-x. R. Weiss, Loneliness: The experience of emotional and social isolation. MIT press, 1975. L. Dahlberg, K. J. McKee, A. Frank, and M. Naseer, “A systematic review of longitudinal risk factors for loneliness in older adults,” 2022, Routledge . doi: 10.1080/13607863.2021.1876638. N. Leigh-Hunt et al. , “An overview of systematic reviews on the public health consequences of social isolation and loneliness,” Public Health , vol. 152, pp. 157–171, Nov. 2017, doi: 10.1016/J.PUHE.2017.07.035. E. Courtin and M. Knapp, “Social isolation, loneliness and health in old age: a scoping review,” Health Soc Care Community , vol. 25, no. 3, pp. 799–812, May 2017, doi: 10.1111/HSC.12311. D. Hunter-Reel, B. McCrady, and T. Hildebrandt, “Emphasizing interpersonal factors: an extension of the Witkiewitz and Marlatt relapse model,” Addiction (Abingdon, England) , vol. 104, no. 8, pp. 1281–1290, Aug. 2009, doi: 10.1111/J.1360-0443.2009.02611.X. J. R. S. Fhon et al. , “Factors associated with frailty in older adults: a longitudinal study,” Rev Saude Publica , vol. 52, p. 74, Jul. 2018, doi: 10.11606/S1518-8787.2018052000497. R. Vaishya and A. Vaish, “Falls in Older Adults are Serious,” Indian J Orthop , vol. 54, no. 1, pp. 69–74, Feb. 2020, doi: 10.1007/S43465-019-00037-X/TABLES/3. X. Wang, J. Hu, and D. Wu, “Risk factors for frailty in older adults,” Medicine (United States) , vol. 101, no. 34, p. E30169, Aug. 2022, doi: 10.1097/MD.0000000000030169. World Health Organisation, “Mental Health of Older Adults ,” https://www.who.int/news-room/fact-sheets/detail/mental-health-of-older-adults. K. Norman, U. Haß, and M. Pirlich, “Malnutrition in Older Adults—Recent Advances and Remaining Challenges,” Nutrients 2021, Vol. 13, Page 2764 , vol. 13, no. 8, p. 2764, Aug. 2021, doi: 10.3390/NU13082764. K. A. Bradley, A. F. Debenedetti, R. J. Volk, E. C. Williams, D. Frank, and D. R. Kivlahan, “AUDIT-C as a brief screen for alcohol misuse in primary care,” Alcohol Clin Exp Res , vol. 31, no. 7, pp. 1208–1217, Jul. 2007, doi: 10.1111/j.1530-0277.2007.00403.x. J. B. Saunders, O. G. Aasland, T. F. Babor, J. R. De La Fuente, and M. Grant, “Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption--II,” Addiction (Abingdon, England) , vol. 88, no. 6, pp. 791–804, 1993, doi: 10.1111/J.1360-0443.1993.TB02093.X. P. Brooke and R. Bullock, “Validation of a 6 item cognitive impairment test with a view to primary care usage,” Int J Geriatr Psychiatry , vol. 14, no. 11, pp. 936–940, Nov. 1999, doi: 10.1002/(SICI)1099-1166(199911)14:113.0.CO;2-1. A. S. Zigmond and R. P. Snaith, “The Hospital Anxiety and Depression Scale,” Acta Psychiatr Scand , vol. 67, no. 6, pp. 361–370, Jun. 1983, doi: 10.1111/j.1600-0447.1983.tb09716.x. J.-S. Shim, K. Oh, and H. C. Kim, “Dietary assessment methods in epidemiologic studies,” Epidemiol Health , vol. 36, p. e2014009, Jul. 2014, doi: 10.4178/epih/e2014009. J. de Jong Gierveld, T. van Tilburg, and P. A. Dykstra, “Loneliness and Social Isolation,” in The Cambridge Handbook of Personal Relationships , Cambridge University Press, 2006, pp. 485–500. doi: 10.1017/CBO9780511606632.027. M. F. Steger, P. Frazier, S. Oishi, and M. Kaler, “The meaning in life questionnaire: Assessing the presence of and search for meaning in life.,” J Couns Psychol , vol. 53, no. 1, pp. 80–93, Jan. 2006, doi: 10.1037/0022-0167.53.1.80. J. E. Ware and J. Ware, “Version 2 of the SF12 health survey,” 2002. [Online]. Available: https://www.researchgate.net/publication/248320488 L. Sobell and M. Sobell, “Timeline Follow-Back for Alcohol Consumption,” May 07, 2012. doi: 10.1037/t06202-000. F. C. Breslin, L. C. Sobell, M. B. Sobell, and S. Agrawal, “Brief Situational Confidence Questionnaire (BSCQ),” Behaviour Research and Therapy , vol. 38, pp. 1211–1220, 2000. R. Band et al. , “Development of a measure of collective efficacy within personal networks: A complement to self-efficacy in self-management support?,” Patient Educ Couns , vol. 102, no. 7, pp. 1389–1396, Jul. 2019, doi: 10.1016/j.pec.2019.02.026. A. Kennedy, I. Vassilev, E. James, and A. Rogers, “Implementing a social network intervention designed to enhance and diversify support for people with long-term conditions. A qualitative study,” Implementation Science , vol. 11, no. 1, Feb. 2016, doi: 10.1186/s13012-016-0384-8. V. Braun and V. Clarke, “Using thematic analysis in psychology,” Qual Res Psychol , vol. 3, no. 2, pp. 77–101, 2006, doi: 10.1191/1478088706QP063OA. V. Braun and V. Clarke, “Reflecting on reflexive thematic analysis,” Qual Res Sport Exerc Health , vol. 11, no. 4, pp. 589–597, Aug. 2019, doi: 10.1080/2159676X.2019.1628806. “Nutridata,” https://www.apetito.co.uk/our-service/hospital-meal-services/nutridata_app. M. C. Carter et al. , “Development of a UK Online 24-h Dietary Assessment Tool: myfood24,” Nutrients , vol. 7, no. 6, pp. 4016–4032, May 2015, doi: 10.3390/NU7064016. “Government Dietary Recommendations Government recommendations for energy and nutrients for males and females aged 1-18 years and 19+ years,” 2016, Accessed: Jan. 23, 2025. [Online]. Available: www.gov.uk/phe C. J. W. H. Bruijnen et al. , “Prevalence of cognitive impairment in patients with substance use disorder,” Drug Alcohol Rev , vol. 38, no. 4, pp. 435–442, May 2019, doi: 10.1111/DAR.12922. M. C. DiBartolo and J. M. Jarosinski, “Alcohol Use Disorder in Older Adults: Challenges in Assessment and Treatment,” Issues Ment Health Nurs , vol. 38, no. 1, pp. 25–32, Jan. 2017, doi: 10.1080/01612840.2016.1257076. N. D. Forsat, A. Palmowski, Y. Palmowski, M. Boers, and F. Buttgereit, “Recruitment and Retention of Older People in Clinical Research: A Systematic Literature Review,” J Am Geriatr Soc , vol. 68, no. 12, pp. 2955–2963, Dec. 2020, doi: 10.1111/JGS.16875. R. Kathryn Mchugh and R. D. Weiss, “Alcohol Use Disorder and Depressive Disorders,” Alcohol Res , vol. 40, no. 1, p. arcr.v40.1.01, 2019, doi: 10.35946/ARCR.V40.1.01. D. Hasin, X. Liu, E. Nunes, S. McCloud, S. Samet, and J. Endicott, “Effects of major depression on remission and relapse of substance dependence,” Arch Gen Psychiatry , vol. 59, no. 4, pp. 375–380, 2002, doi: 10.1001/ARCHPSYC.59.4.375. S. F. Greenfield et al. , “The effect of depression on return to drinking: a prospective study,” Arch Gen Psychiatry , vol. 55, no. 3, pp. 259–265, 1998, doi: 10.1001/ARCHPSYC.55.3.259. L. Boschloo et al. , “Alcohol use disorders and the course of depressive and anxiety disorders,” Br J Psychiatry , vol. 200, no. 6, pp. 476–484, Jun. 2012, doi: 10.1192/BJP.BP.111.097550. S. Kelly, O. Olanrewaju, A. Cowan, C. Brayne, and L. Lafortune, “Alcohol and older people: A systematic review of barriers, facilitators and context of drinking in older people and implications for intervention design,” PLoS One , vol. 13, no. 1, p. e0191189, Jan. 2018, doi: 10.1371/JOURNAL.PONE.0191189. C. Reczek, T. Pudrovska, D. Carr, M. B. Thomeer, and D. Umberson, “Marital Histories and Heavy Alcohol Use among Older Adults,” J Health Soc Behav , vol. 57, no. 1, pp. 77–96, Mar. 2016, doi: 10.1177/0022146515628028. S. Immonen, J. Valvanne, and K. H. Pitkälä, “Older adults’ own reasoning for their alcohol consumption,” Int J Geriatr Psychiatry , vol. 26, no. 11, pp. 1169–1176, Nov. 2011, doi: 10.1002/GPS.2657. A. Kuerbis, H. Treloar Padovano, S. Shao, J. Houser, F. J. Muench, and J. Morgenstern, “Comparing daily drivers of problem drinking among older and younger adults: An electronic daily diary study using smartphones,” Drug Alcohol Depend , vol. 183, pp. 240–246, Feb. 2018, doi: 10.1016/J.DRUGALCDEP.2017.11.012. “Adult malnutrition | Health topics A to Z | CKS | NICE.” Accessed: Feb. 25, 2025. [Online]. Available: https://cks.nice.org.uk/topics/adult-malnutrition/ Additional Declarations No competing interests reported. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7176063","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":509716626,"identity":"c5ea128b-5189-4170-9890-29ef9af19e7a","order_by":0,"name":"Stephanie Hughes","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAy0lEQVRIiWNgGAWjYDACCfYDDAkGNkgiPAS18CQwPChIY2BgI14LgwHjgw+HSdAiP7sh7UOCwXl7fvnmYw8YauwYDM4cwK/F4M7BwzMSDG4nzmxjSzdgOJbMYHC2gYAWiYRkoPdvJxgc4zGTYGA7wGBwnpDDZiQYA7Wcs4do+UeEFoYbYC0HGDeAtDC2HSDCYTdyQA5LBvolLU0isS+ZR5KQ9+VnpB9m/PHHzp6f+fAxiQ/f7OT4ziQQchkySCAiIkfBKBgFo2AUEAEABQo/kYUYzwsAAAAASUVORK5CYII=","orcid":"","institution":"University of Southampton","correspondingAuthor":true,"prefix":"","firstName":"Stephanie","middleName":"","lastName":"Hughes","suffix":""},{"id":509716627,"identity":"85098b46-2e26-4b6b-b05d-3175c0b05b39","order_by":1,"name":"Rebecca Band","email":"","orcid":"","institution":"Swansea University","correspondingAuthor":false,"prefix":"","firstName":"Rebecca","middleName":"","lastName":"Band","suffix":""},{"id":509716628,"identity":"3b9d4536-114b-4b69-9cf8-df7ce42430aa","order_by":2,"name":"Zarah Linssen","email":"","orcid":"","institution":"University of Southampton","correspondingAuthor":false,"prefix":"","firstName":"Zarah","middleName":"","lastName":"Linssen","suffix":""},{"id":509716629,"identity":"3997981d-0cd0-4104-8afa-c22add913a1b","order_by":3,"name":"Sophie Crouzet","email":"","orcid":"","institution":"University of Southampton","correspondingAuthor":false,"prefix":"","firstName":"Sophie","middleName":"","lastName":"Crouzet","suffix":""},{"id":509716630,"identity":"3bce6300-1d9c-4902-86fd-bb093b69a059","order_by":4,"name":"Stephen Lim","email":"","orcid":"","institution":"University of Southampton","correspondingAuthor":false,"prefix":"","firstName":"Stephen","middleName":"","lastName":"Lim","suffix":""},{"id":509716631,"identity":"f24973e2-9259-4c13-b72b-661ac315d96b","order_by":5,"name":"Julia Sinclair","email":"","orcid":"","institution":"University of Southampton","correspondingAuthor":false,"prefix":"","firstName":"Julia","middleName":"","lastName":"Sinclair","suffix":""}],"badges":[],"createdAt":"2025-07-21 10:08:11","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7176063/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7176063/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":90880973,"identity":"7a771698-681d-4c79-b8fe-827b7890a777","added_by":"auto","created_at":"2025-09-09 09:39:25","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":241689,"visible":true,"origin":"","legend":"\u003cp\u003eClustered Boxplot to show the nutrient intake of participants at baseline and follow-up\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-7176063/v1/da471cfc7511674d3527f94f.png"},{"id":90881031,"identity":"02443481-0d58-4fe0-97d8-17690b081468","added_by":"auto","created_at":"2025-09-09 09:39:35","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":802127,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7176063/v1/d219ed23-c2e0-445f-b731-be080ea1a662.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Exploring the psychosocial needs and nutritional status of older adults with alcohol use disorder: A mixed-methods study (The OLA Study)","fulltext":[{"header":"Introduction","content":"\u003cp\u003eAlcohol Use Disorder (AUD) contributes to over 200 health conditions [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. 10,048 deaths from alcohol-specific causes were registered in 2022 in the UK, the highest figure on record [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Estimated figures from 2019–2020 suggest there are over 600,000 alcohol dependent adults in England [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e], and this figure has risen since the COVID-19 pandemic [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Alcohol poses health risks to older adults, even at levels that may have been considered \"safer\" earlier in life [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Alcohol -related hospital admissions in England are rising and the proportion of those aged 65 and older has increased significantly[\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eIt is well documented that AUD is a highly stigmatised condition[\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e], with research showing high levels of both internalized (felt) and external (enacted) stigma[\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Stigma impacts both the medical and social consequences of individuals with AUD [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Compared to younger adults, older adults experience a greater sense of stigma and shame associated with problematic alcohol use[\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Stigma and fear of being judged can hinder help seeking behaviour [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e], and facilitate reluctance to participate in social activities [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e], compounding feelings of loneliness (10).\u003c/p\u003e\u003cp\u003eLoneliness is an unwelcome emotional state arising from the ‘perceived discrepancy between desired and actual social relationships’ [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e] as well as insufficient connections, and a lack of social intimacy[\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. Factors contributing to loneliness include not having a spouse, a limited social network, low mood, self-perceived poor health, a low level of social activity and a limited social network [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Loneliness negatively impacts health and mortality outcomes[\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e] and older adults are particularly vulnerable to these consequences [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Specific to alcohol-related behaviour, research has demonstrated a clear but complex link between the number of social contacts a person has, whether those contacts consume alcohol and how supportive they are of an individual wishing to achieve and maintain abstinence [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eExploration of drinking behaviour must consider individual, contextual and social factors [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Among older adults, various psychosocial factors shape drinking behaviour, including life transitions like retirement and bereavement, social norms, and changes in self-identity [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. While existing research into the treatment needs of working-age adults with AUD is well documented, there is a dearth of literature specific to older adults.\u003c/p\u003e\u003cp\u003eA body of literature relating to health outcomes for older adults is developing, including literature exploring complex conditions such as multi-morbidity, frailty and falls [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e], [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e], [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. Alcohol intake and nutritional status are especially relevant when considering health outcomes [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e], especially in relation to falls, but are rarely considered. The most vulnerable members of society, such as older adults, are disproportionately affected by alcohol-related harms [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. This vulnerability is worsened by poor nutritional status; malnutrition leads to increased mortality, morbidity and physical decline[\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. The combined impact of alcohol use and malnutrition in older adults remains underexplored. The OLA study takes a novel approach by holistically exploring the treatment needs of older adults with AUD, alongside the interaction with their nutritional status and degree of loneliness.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e"},{"header":"Methods","content":"\u003cp\u003e\u003cstrong\u003eEthical approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\u003cp\u003e Ethical approval for this study was granted by West Midlands - Solihull Research Ethics Committee (23/WM/0080) and study procedures adhered to the Declaration of Helsinki. All participants provided informed consent to participate, and for publication of anonymised data.\u003c/p\u003e\u003cp\u003eStudy design and participants\u003c/p\u003e\u003cp\u003eThis is a mixed-methods longitudinal observational study of older adults (aged \u0026gt; 64) with AUD aiming to explore the clinical and sociodemographic characteristics and support needs after admission for acute hospital care. Potential participants were identified through admissions to University Hospital Southampton (UHS) in August 2023 – April 2024; those aged \u0026gt; 64 and identified as drinking at increased risk (scoring 4+) according to the Alcohol Use Disorders Identification Test Consumption (AUDIT-C) [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e] were eligible for the study.\u003c/p\u003e\u003cp\u003eData collection\u003c/p\u003e\u003cp\u003eQuantitative measures were completed at baseline (in hospital) and 3–6 months by telephone. These included: Alcohol Use Disorders Identification Test (AUDIT) [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e], 6CIT (Six-item Cognitive Impairment Test) [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e], Depression and anxiety (HADS) [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e], 24-hour Dietary Recall [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e], Social network composition, De Jong Loneliness Scale [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e], Meaning in life questionnaire[\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e] and a review of the medical notes.\u003c/p\u003e\u003cp\u003eIn addition, at follow up outcome data included the SF-12 Mental and Physical Health composite scale score [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e], The Timeline Followback (TLFB) [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e], and Service use Inventory, as well as questionnaires assessing Self-efficacy [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e], and Collective efficacy (CENS) [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e].\u003c/p\u003e\u003cp\u003e Qualitative semi-structured telephone interviews with a subset of participants were conducted at 6 months to gain a richer insight into the topics covered by the questionnaire. A topic guide was used flexibly and amended iteratively throughout the data collection process. Interviews included a social network mapping exercise using the concentric circles method[\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e] to provide insight into who participants viewed as important in their daily lives.\u003c/p\u003e\u003ch2\u003eData analysis\u003c/h2\u003e\u003cp\u003eQuantitative data analysis: Descriptive statistics were used to analyse baseline characteristics and the quantitative measures.\u003c/p\u003e\u003cp\u003eQualitative data analysis: Transcripts were analysed using reflexive thematic analysis[\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e], [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. The analysis was led by SH with input from JS and RB throughout the process. Transcripts were read multiple times for familiarity and coded in NVivo. Similar codes were grouped together into broader themes while patterns, relationships and overarching narratives were explored. Research team discussions facilitated the refinement of themes throughout the process.\u003c/p\u003e\u003cp\u003eNutritional analysis: The Nutridata app[\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e], which provides nutritional information on the meals served in hospital, supported the coding of baseline data. Data from the diet timeline followback [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e] were analysed using software called ‘myFood24’. Myfood24 is a comprehensive dietary software package that quantifies raw dietary intake data into numerical nutrient intakes. Its extensive database and strong content validity reduced systematic errors and enhanced the validity of the nutrient intake analysis[\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e]. The participant intakes of 32 nutrients were calculated as a percentage of the reference nutrient intakes (RNI) derived from the UK Government’s Dietary Recommendations and adjusted for age [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e].\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eCharacteristics of the study participants\u003c/p\u003e\n\u003cp\u003e30 participants were recruited to the study aged 65\u0026ndash;91 (mean age of 71). Participants had a mean body mass index (BMI) of 24.1(range 16.7\u0026ndash;50.2). 20 participants (67%) lived alone. Participant postcodes were used to calculate the Index of Multiple Deprivation (IMD) and indicated a variation in socioeconomic status with 36.7% of participants living in the most deprived quintile and 20% in the least deprived. See Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e for an overview of characteristics.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eChallenges in recruitment and retention\u003c/p\u003e\n\u003cp\u003e\u003c/p\u003e\n\u003cp\u003eBoth recruitment and retention proved difficult in this study. Initially eligibility criteria required a referral to the Alcohol Care Team (ACT), but in the first 3 months, although 98 patients\u0026thinsp;\u0026gt;\u0026thinsp;64 were referred to the ACT, only 27 (28%) were deemed clinically fit to be approached, and of these, 7 (26%) consented to take part. To improve recruitment rates, a substantial amendment to include all patients who scored 4\u0026thinsp;+\u0026thinsp;on the AUDIT-C through routine screening were eligible to be approached with clinical permission. When the amendment was approved 23 more patients were recruited.\u003c/p\u003e\n\u003cp\u003e14 (46.7%) participants were lost to follow-up. 3 (10%) withdrew, 4 (13.3%) died between baseline and follow-up, and 7 (23.3%) were unreachable. Two further participants died shortly after follow-up (noted while reviewing medical notes) resulting in a mortality rate of 20% overall. Those lost to follow-up were similar to the sample overall in terms of alcohol consumption (AUDIT), cognitive impairment (6CIT), anxiety and depression (HADS).\u003c/p\u003e\n\u003cp\u003eQuantitative results\u003c/p\u003e\n\u003cp\u003eDue to the small sample size, statistical analysis was not powered to assess significant differences between baseline and follow-up scores. See Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e for the mean scores at baseline and follow-up and Table \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e for case analysis.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eAUDIT and AUDIT-C scores indicated high-risk drinking (mean\u0026thinsp;=\u0026thinsp;17.1 and 8.2, respectively), although, the majority were not screened as drinking at dependent levels (AUDIT score\u0026thinsp;\u0026gt;\u0026thinsp;20). At follow-up, scores decreased (on average) by one \u0026lsquo;drinking risk\u0026rsquo; level to 12.3 and 4.9. 50% participants showed some level of cognitive impairment.\u003c/p\u003e\n\u003cp\u003e\u003c/p\u003e\n\u003cp\u003eBaseline HADS-A and HADS-D scores (mean\u0026thinsp;=\u0026thinsp;7.5) were borderline, with 43.3% scoring as anxious and 50% with depressive symptoms. At follow-up, mean scores normalised, but 20% still showed levels of anxiety and 50% with ongoing depressive symptoms.\u003c/p\u003e\n\u003cp\u003eOverall loneliness scores at both baseline and follow-up indicate our sample were \u0026lsquo;moderately lonely\u0026rsquo;. Scores on the Meaning of Life Questionnaire remained relatively stable, showing a moderate presence of meaning (21.0 to 21.7) and a slight increase in searching for meaning (2.7 to 2.9). The BSCQ (measured at follow-up) mean score of 68.0 indicates a moderate level of confidence in resisting alcohol across different situations.\u003c/p\u003e\n\u003cp\u003eScores for the collective efficacy scale can fall between 1 and 5 with higher scores indicating good perceived access to network support and perceived general network collective efficacy. The mean scores for this sample (measured at follow-up) were 4.0 for network responsiveness and 2.8 for collective efficacy.\u003c/p\u003e\n\u003cp\u003eParticipant social networks consisted of an average of 4 people (SD 2.5), with the majority of contacts being adult children.\u003c/p\u003e\n\u003cp\u003eNutrition results\u003c/p\u003e\n\u003cp\u003eOverall, the dietary intake of nutrients among OLA participants was below the UK government\u0026apos;s recommended reference nutrient intake (RNI), adjusted for age. Nutrient intake decreased at follow-up compared to baseline. At both baseline and follow-up, the median intakes (as a percentage of the RNI) for 4 out of 5 (80%) macronutrients were below the RNI (see Fig. \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e below).\u003c/p\u003e\n\u003cp\u003eQualitative results\u003c/p\u003e\n\u003cp\u003eAll participants who completed quantitative measures were approached for interview and 7 agreed. Table \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003eshows the characteristics of these participants.\u003c/p\u003e\n\u003cdiv align=\"left\" class=\"colspec\"\u003e\u003cimg 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\"\u003e\n \u003cp\u003eThe personal situation and alcohol consumption of participants in the qualitative study varied. Several factors impacted the elicited data, such as cognitive impairment, possible feelings of shame and stigma, inconsistency in responses, and participant defensiveness when discussing this sensitive topic. Participants described links between social isolation, loneliness and drinking alcohol. All participants considered their drinking to be \u0026apos;non-problematic.\u0026apos;\u003c/p\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eSocial isolation and loneliness impact on problematic drinking behaviour\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eParticipants\u0026rsquo; social contacts were limited with an average of around 4 people who were mostly siblings or adult children. 4 participants had one network member, and for one participant their only social contact was their cleaner. Some participants were unable to leave the house and had interactions only with those providing practical help, for example, with food shopping or meal preparation. The participants who were more mobile reported integration into the community and were socially active.\u003c/p\u003e\n\u003cp\u003eHousebound participants with limited social networks all described having more people in their lives previously, and often had no particular reasons for the change, or viewing it as part of aging:\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eInterviewer: \u0026ldquo;So there used to be a lot more people around?\u0026rdquo;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePT022: \u0026ldquo;Yes\u0026rdquo;.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eInterviewer: \u0026ldquo;What happened to your friends and family?\u0026rdquo;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePT022: \u0026ldquo;Well, it just disappeared over time. Got married or died. Whatever.\u0026rdquo;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eInterviewer: \u0026ldquo;How do you feel about that, the way that things have changed?\u0026rdquo;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePT022: \u0026ldquo;That\u0026apos;s life.\u0026rdquo;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eAnother participant felt his reduction in friends was due to his poor health:\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePT013: \u0026ldquo;Before I had the cardiac arrest I used to talk and play cards with a couple of them (friends), but now they\u0026apos;ve\u0026hellip; It\u0026apos;s like they blank you, because you\u0026apos;re not the same.\u0026rdquo;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eAll participants rejected the idea that alcohol had any impact on their important relationships. For those who were socially isolated loneliness was common, with one participant describing this as a contributing factor to drinking alcohol:\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eInterviewer: \u0026ldquo;Do you ever feel lonely?\u0026rdquo;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePT026: \u0026ldquo;Yes.\u0026rdquo;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eInterviewer: \u0026ldquo;and how does that impact you?\u0026rdquo;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePT026: \u0026ldquo;Probably I drink too much.\u0026rdquo;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThose who were housebound, or mostly housebound admitted to drinking alcohol all day long, with one exception, who stated he has not consumed alcohol for 2 years since a health-related event. However, the answers this participant provided in their 6-month follow-up questionnaire do not match this narrative.\u003c/p\u003e\n\u003cp\u003eHousebound participants did not have interests or enjoyable activities they were able to do at home, with most describing watching television, or doing nothing all day. Frustrations around mobility issues contributed to feelings of unfulfillment:\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eInterviewer: \u0026ldquo;what do you normally do during the day?\u0026rdquo;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePT018: \u0026ldquo;Sit in my chair, because I can\u0026apos;t walk.\u0026rdquo; (irritated tone)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe consequences of being housebound have been devastating for some, leading to a deep sense of despair:\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePT013: \u0026ldquo;I just wish they\u0026apos;d never fetched me back after the cardiac arrest because if I knew then what I was going to know now - that I\u0026apos;ve got to live like this - you know. I\u0026apos;ve got a DNR against me now from the hospital anyway, where \u0026hellip; they wouldn\u0026apos;t resuscitate if something did happen\u0026hellip; You know, it\u0026apos;s demoralising, really.\u0026rdquo;\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThose who were more mobile and socially active described themselves as not lonely and described different alcohol habits; One participant decided to stop drinking alcohol completely since the hospital admission when they were recruited to the study. Others described self-set rules around drinking alcohol only in the evenings or limiting themselves to one glass of wine with an evening meal. Although the sample was small, the impact of social isolation or cohesion on alcohol habits and mood were clearly described.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eIssues accurately measuring alcohol use\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eVarious factors impact the validity of the data collected in the interviews. Feelings of shame and stigmatization are common in people with AUD (6,7) and may impact on what people were prepared to say in both quantitative data collection and the interviews. In addition, participants living with cognitive impairment may be uncertain about aspects of their current situation. Often there was a discrepancy between the answers provided at the quantitative 6-month follow-up, and the qualitative interview conducted shortly afterwards. For example, one participant reported they drink alcohol 2\u0026ndash;4 times a week in their 6-month questionnaire, but in the interview explained he has not consumed alcohol for 2 years since a significant health event.\u003c/p\u003e\n\u003cp\u003eOne participant appeared defensive and agitated when asked about her social network, her daily activities and her alcohol consumption. This barrier was hard to break down, and it is difficult to know how truthful her answers were. This same participant claimed \u0026lsquo;never\u0026rsquo; to need their first drink of the day in the morning but admitted in the interview they usually start drinking \u0026ldquo;early, nine or ten o\u0026apos;clock, because I\u0026apos;ve been up probably two or three hours\u0026rdquo; PT026.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAlcohol is not a problem\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eAll participants stated that alcohol was not, and never has been, a problem for them. Only one participant expressed the desire to reduce her alcohol intake, attributing her drinking to back pain:\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;I\u0026apos;d drink less brandy if I had more decent painkillers.\u0026rdquo; (PT026)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eOne participant describes drinking port from approximately 10am onwards everyday; he said he has drunk this way since his teenage years, although probably drinks less now due to age. When asked how alcohol makes him feel he said \u0026ldquo;tired\u0026rdquo;. When asked to describe his relationship with alcohol he said:\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;I can take it or leave it. I\u0026apos;ve been in hospital for 15 weeks. I didn\u0026apos;t miss it.\u0026rdquo; (PT022)\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAlcohol habits of participant social networks\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe people within the social networks of some participants drink alcohol, whereas others do not. One participant described being part of a culture where drinking alcohol was the norm throughout her lifetime:\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;I was brought up in a very social atmosphere and it\u0026apos;s just continued through my life.\u0026rdquo; PT016\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe same participant describes herself as a \u0026lsquo;social drinker\u0026rsquo; and those close to her consume alcohol in a similar way:\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;I can\u0026apos;t think of anybody we know that we mix with that doesn\u0026apos;t particularly enjoy a drink.\u0026rdquo; PT016\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eHowever, some participants had members in their social circles who did not drink alcohol, and a couple of the participants appeared baffled by how little the younger generations in their family drink:\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u0026ldquo;It seems a lot of young people, they don\u0026apos;t. They\u0026apos;re ever such goody two shoes. They don\u0026apos;t go out. They don\u0026apos;t have fun like I used to when I was a teenager going dancing.\u0026rdquo; PT026\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eOne participant was particularly closed off and said her friends \u0026ldquo;have wine\u0026rdquo; but was not willing to discuss their drinking habits further. For participants with limited social networks, it was hard to establish whether there ever had been a social aspect to the way they drink alcohol.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003e\u003cem\u003eSummary of findings\u003c/em\u003e\u003c/p\u003e\u003cp\u003eOur findings provide an initial insight into AUD, and alcohol consumption more broadly, in older adults. There was a notable mortality rate of 20% throughout the study period. This study highlights the challenges of recruiting and retaining participants within this population, offering valuable insights for future research. A key issue was the prevalence of cognitive impairment - both among those who took part and those deemed ineligible by clinical teams due to cognitive concerns. Our qualitative findings indicate; social isolation has an impact on alcohol consumption, self-report data in this group needs to be interpreted with caution, and that participants in this study did not feel their alcohol consumption was, or ever had been, a problem. Participant social networks consisted mostly of adult children who, according to the participants, either did not drink alcohol, or consumed very little. Overall, the participants\u0026rsquo; nutritional status was poor in hospital and worsened once back home.\u003c/p\u003e\u003cp\u003e\u003cem\u003eReflection on recruitment and retention\u003c/em\u003e\u003c/p\u003e\u003cp\u003eIt proved difficult to recruit to the study. Most older adults referred to the alcohol care team where too clinically unwell and cognitively impaired to be eligible. Of those who were, given the nature of acute hospital stays, there was a very brief window between patients being fit to take part and being discharged from hospital. Potential participants were given the study information to read, and adequate time to decide whether to take part (e.g. 24 hours) by which time they had been discharged, before the researchers were able to gain consent.\u003c/p\u003e\u003cp\u003eReasons for declining to take part were not recorded, however, based on researcher fieldnotes and drawing on previous literature the following are likely to contribute; feelings of stigma in relation to alcohol use are well documented and are especially prominent in older adults [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e], [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e], [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Interactions with potential participants were approached sensitively, however, to provide informed consent it was necessary they were made aware the study was exploring the topic of alcohol, and that they were eligible for the study because their alcohol use had been assessed as increased or higher risk. Those fearful of judgment about their alcohol consumption may have shied away from engaging in activities that explore their drinking patterns. One individual (with capacity) agreed to take part, but her daughter who visited later that day, persuaded her to withdraw. In addition, individuals who did not want to change their drinking habits may have feared participating in an alcohol study would initiate input from alcohol-related services. As our results corroborate, cognitive impairment in older adults with AUD is common [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e], impacting recruitment rates.\u003c/p\u003e\u003cp\u003eIn addition to the recruitment difficulties, retention was impacted by a high dropout rate of 47%. Additionally, the mortality rate was considerable at 20%, further affecting follow-up. While it was not possible to determine the reasons for non-participation in follow-up among those who declined or were unreachable, insights into the role of shame within this population [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e] offer a potential explanation. Some participants may have initially agreed to take part when speaking face-to-face with a clinician in a hospital setting, despite concerns about judgment, but later felt unable to provide follow-up data due to feelings of shame, particularly if they struggled to adhere to the advice given.\u003c/p\u003e\u003cp\u003e\u003cem\u003eComparison to previous literature\u003c/em\u003e\u003c/p\u003e\u003cp\u003eThere is limited literature on the barriers to recruiting individuals with AUD into research; however, relevant insights can be drawn from studies on the recruitment of older adults. Our study's poor retention rates align with previous findings, which highlight that retention in older populations is often affected by illness, loss of interest, and mortality[\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e]. Additionally, prior research on recruitment barriers in older adults has identified that family members frequently discourage participation [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eOur sample reported elevated levels of depression, corroborating the already established link between AUD and depressive disorder [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]. Co-occurrence is associated with greater severity and worse prognosis for both disorders [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e], [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e], [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e].\u003c/p\u003e\u003cp\u003ePrevious research has found connections between alcohol use and socialising among older adults, and that people often share the drinking habits of those closest to them [\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e], [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]. Our findings in this area were mixed, but the limited social networks of our sample may have influenced our results; While one participant described drinking in a sociable manner, and others reflected on past social drinking, the majority reported consuming alcohol alone, with their close circles drinking significantly less or abstaining altogether.\u003c/p\u003e\u003cp\u003eAlthough our participants reported \u0026lsquo;good\u0026rsquo; access to network support overall, our qualitative findings indicated those who were more socially isolated tended to drink alcohol differently to those who were not. This aligns with previous research suggesting older adults drink alcohol to relieve depression, loneliness [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e] and boredom [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eResults from the nutrition analysis were compared against the Scientific Advisory Committee on Nutrition\u0026rsquo;s report on community dwelling older adults [\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e]. Overall, older adults have a low dietary intake of nutrients, however, the OLA participants\u0026rsquo; dietary intake of nutrients was notably lower, emphasising the complex intersection between alcohol, anorexia of ageing, poor health and nutritional status.\u003c/p\u003e\u003cp\u003e\u003cem\u003eLimitations\u003c/em\u003e\u003c/p\u003e\u003cp\u003eThe small sample size means the quantitative data needs to be viewed with caution, with limited generalisability of our findings to the wider population; participants were recruited from one hospital, lived in one geographical location within the UK, with a less ethnically diverse population. Nonetheless, participants in the study were from areas of highest to the lowest deprivation, as indicated by the index of multiple deprivation. As a small preliminary study, the insight provided by both the data and the study processes are invaluable in terms of generation of new knowledge to guide future research in this important area.\u003c/p\u003e\u003cp\u003eThe BSCQ was poorly understood by participants, raising concerns about the validity of the results. This questionnaire assessed participants\u0026rsquo; confidence in resisting alcohol in various situations. However, many found the questions irrelevant, as they had no desire to refrain from drinking, making confidence a non-factor.\u003c/p\u003e\u003cp\u003eOur results report a mean BMI for the sample; however, only two participants had their weight measured on admission, with calculations relying on patient-reported data, affecting accuracy. For other participants, BMI was derived from weight and height measurements in hospital notes, which may have been outdated due to weight fluctuations. Additionally, nutritional status was assessed using the TLFB self-report measure, making its accuracy uncertain, particularly given the high levels of cognitive impairment in our sample.\u003c/p\u003e\u003cp\u003e\u003cem\u003eImplications for future research\u003c/em\u003e\u003c/p\u003e\u003cp\u003eFuture research should carefully consider recruitment strategies to address resistance driven by stigma, as well as the challenges that health problems requiring hospital admission in older adults entail. Additionally, efforts to improve retention rates are essential. Given the limitations of our small sample, broader studies on alcohol use in older adults at the population level would help inform future alcohol-reduction interventions. To enhance data reliability, incorporating objective health assessments alongside self-reported measures is recommended. Exploring existing interventions that integrate both social and health-related aspects of AUD in older adults would be a valuable next step. By addressing the challenges identified in this study, future research can help develop more effective support pathways for this high-risk population.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study provides valuable preliminary insights into AUD in older adults, highlighting key challenges in recruitment, retention, and data reliability. Our findings suggest that while participants reported good access to personal network support, social isolation played a critical role in shaping drinking behaviours. Additionally, the poor nutritional status observed within our sample highlights the complex intersection of alcohol use, ageing, and health outcomes, warranting further investigation.\u003c/p\u003e\u003cp\u003eThe high mortality rate observed emphasises the vulnerability of this population and underscores the need for tailored support and interventions, which are integrated into mainstream services. Barriers relating to shame and stigma must be carefully addressed in future studies to ensure robust and representative findings.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003eAcknowledgements\u003c/p\u003e\n\u003cp\u003eThis study is funded by the National Institute for Health and Care Research ARC Wessex. The views expressed in this publication are those of the author(s) and not necessarily those of the National Institute for Health and Care Research or the Department of Health and Social Care.\u003c/p\u003e\n\u003cp\u003eFunding\u003c/p\u003e\n\u003cp\u003eThis study is funded by the National Institute for Health and Care Research ARC Wessex (Grant number: NIHR200164).\u003c/p\u003e\n\u003cp\u003eClinical trial number\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003eAvailability of Data and Materials\u003c/p\u003e\n\u003cp\u003eThe datasets generated and analysed during the current study are not publicly available due to the sensitive nature of the data and the need to protect participant confidentiality. In line with the conditions of ethical approval, anonymised data may be made available from the corresponding author upon reasonable request.\u003c/p\u003e\n\u003cp\u003eConsent for publication\u003c/p\u003e\n\u003cp\u003eNot Applicable\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eWorld Health Organisation, \u0026ldquo;Alcohol Fact Sheet.\u0026rdquo; Accessed: Jan. 09, 2025. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/alcohol\u003c/li\u003e\n\u003cli\u003eOffice for National Statistics, \u0026ldquo;Alcohol-specific deaths in the UK: registered in 2022,\u0026rdquo; 2024.\u003c/li\u003e\n\u003cli\u003eOffice for Health Improvement \u0026amp; Disparities, \u0026ldquo;Estimates of alcohol dependent adults in England summary - GOV,\u0026rdquo; 2024.\u003c/li\u003e\n\u003cli\u003eB. K. Bareham, E. Kaner, L. P. Spencer, and B. Hanratty, \u0026ldquo;Drinking in later life: a systematic review and thematic synthesis of qualitative studies exploring older people\u0026rsquo;s perceptions and experiences,\u0026rdquo; \u003cem\u003eAge Ageing\u003c/em\u003e, vol. 48, no. 1, pp. 134\u0026ndash;146, Jan. 2019, doi: 10.1093/AGEING/AFY069.\u003c/li\u003e\n\u003cli\u003eNHS Digital, \u0026ldquo;Part 1: Alcohol-related hospital admissions.\u0026rdquo; Accessed: Feb. 03, 2025. [Online]. Available: https://digital.nhs.uk/data-and-information/publications/statistical/statistics-on-alcohol/2021/part-1\u003c/li\u003e\n\u003cli\u003eG. Schomerus, M. Lucht, A. Holzinger, H. Matschinger, M. G. Carta, and M. C. Angermeyer, \u0026ldquo;The stigma of alcohol dependence compared with other mental disorders: A review of population studies,\u0026rdquo; Mar. 01, 2011, \u003cem\u003eOxford University Press\u003c/em\u003e. doi: 10.1093/alcalc/agq089.\u003c/li\u003e\n\u003cli\u003eC. Phillips, R. Darch, and A. Farmbrough, \u0026ldquo;More than a \u0026lsquo;lifestyle\u0026rsquo; choice? Does a patient\u0026rsquo;s use of alcohol affect professionals\u0026rsquo; perceptions of harm and safeguarding responsibilities when it comes to self-neglect? A case study in alcohol-related liver disease,\u0026rdquo; \u003cem\u003ehttps://doi.org/10.12968/gasn.2021.19.Sup6.S18\u003c/em\u003e, vol. 19, pp. S18\u0026ndash;S26, Jul. 2021, doi: 10.12968/GASN.2021.19.SUP6.S18.\u003c/li\u003e\n\u003cli\u003eS. Galvani \u003cem\u003eet al.\u003c/em\u003e, \u0026ldquo;Project evaluation Time of My Life: an Aquarius service supporting older people,\u0026rdquo; 2017.\u003c/li\u003e\n\u003cli\u003eL. Baysan Arabaci, D. Ayakdaş Daǧli, G. Taş, and A. B\u0026uuml;y\u0026uuml;kbayram Arslan, \u0026ldquo;Stigmatization and Social Functioning Levels of Patients with Alcohol Use Disorders,\u0026rdquo; \u003cem\u003eJ Addict Nurs\u003c/em\u003e, vol. 31, no. 4, pp. 295\u0026ndash;301, Oct. 2020, doi: 10.1097/JAN.0000000000000370.\u003c/li\u003e\n\u003cli\u003eI. Ingram \u003cem\u003eet al.\u003c/em\u003e, \u0026ldquo;Loneliness among people with substance use problems: A narrative systematic review,\u0026rdquo; \u003cem\u003eDrug Alcohol Rev\u003c/em\u003e, vol. 39, no. 5, pp. 447\u0026ndash;483, Jul. 2020, doi: 10.1111/DAR.13064.\u003c/li\u003e\n\u003cli\u003eP. E. McKenna-Plumley, J. M. Groarke, R. N. Turner, and K. Yang, \u0026ldquo;Experiences of loneliness: a study protocol for a systematic review and thematic synthesis of qualitative literature,\u0026rdquo; \u003cem\u003eSyst Rev\u003c/em\u003e, vol. 9, no. 1, Dec. 2020, doi: 10.1186/s13643-020-01544-x.\u003c/li\u003e\n\u003cli\u003eR. Weiss, \u003cem\u003eLoneliness: The experience of emotional and social isolation.\u003c/em\u003e MIT press, 1975.\u003c/li\u003e\n\u003cli\u003eL. Dahlberg, K. J. McKee, A. Frank, and M. Naseer, \u0026ldquo;A systematic review of longitudinal risk factors for loneliness in older adults,\u0026rdquo; 2022, \u003cem\u003eRoutledge\u003c/em\u003e. doi: 10.1080/13607863.2021.1876638.\u003c/li\u003e\n\u003cli\u003eN. Leigh-Hunt \u003cem\u003eet al.\u003c/em\u003e, \u0026ldquo;An overview of systematic reviews on the public health consequences of social isolation and loneliness,\u0026rdquo; \u003cem\u003ePublic Health\u003c/em\u003e, vol. 152, pp. 157\u0026ndash;171, Nov. 2017, doi: 10.1016/J.PUHE.2017.07.035.\u003c/li\u003e\n\u003cli\u003eE. Courtin and M. Knapp, \u0026ldquo;Social isolation, loneliness and health in old age: a scoping review,\u0026rdquo; \u003cem\u003eHealth Soc Care Community\u003c/em\u003e, vol. 25, no. 3, pp. 799\u0026ndash;812, May 2017, doi: 10.1111/HSC.12311.\u003c/li\u003e\n\u003cli\u003eD. Hunter-Reel, B. McCrady, and T. Hildebrandt, \u0026ldquo;Emphasizing interpersonal factors: an extension of the Witkiewitz and Marlatt relapse model,\u0026rdquo; \u003cem\u003eAddiction (Abingdon, England)\u003c/em\u003e, vol. 104, no. 8, pp. 1281\u0026ndash;1290, Aug. 2009, doi: 10.1111/J.1360-0443.2009.02611.X.\u003c/li\u003e\n\u003cli\u003eJ. R. S. Fhon \u003cem\u003eet al.\u003c/em\u003e, \u0026ldquo;Factors associated with frailty in older adults: a longitudinal study,\u0026rdquo; \u003cem\u003eRev Saude Publica\u003c/em\u003e, vol. 52, p. 74, Jul. 2018, doi: 10.11606/S1518-8787.2018052000497.\u003c/li\u003e\n\u003cli\u003eR. Vaishya and A. Vaish, \u0026ldquo;Falls in Older Adults are Serious,\u0026rdquo; \u003cem\u003eIndian J Orthop\u003c/em\u003e, vol. 54, no. 1, pp. 69\u0026ndash;74, Feb. 2020, doi: 10.1007/S43465-019-00037-X/TABLES/3.\u003c/li\u003e\n\u003cli\u003eX. Wang, J. Hu, and D. Wu, \u0026ldquo;Risk factors for frailty in older adults,\u0026rdquo; \u003cem\u003eMedicine (United States)\u003c/em\u003e, vol. 101, no. 34, p. E30169, Aug. 2022, doi: 10.1097/MD.0000000000030169.\u003c/li\u003e\n\u003cli\u003eWorld Health Organisation, \u0026ldquo;Mental Health of Older Adults ,\u0026rdquo; https://www.who.int/news-room/fact-sheets/detail/mental-health-of-older-adults.\u003c/li\u003e\n\u003cli\u003eK. Norman, U. Ha\u0026szlig;, and M. Pirlich, \u0026ldquo;Malnutrition in Older Adults\u0026mdash;Recent Advances and Remaining Challenges,\u0026rdquo; \u003cem\u003eNutrients 2021, Vol. 13, Page 2764\u003c/em\u003e, vol. 13, no. 8, p. 2764, Aug. 2021, doi: 10.3390/NU13082764.\u003c/li\u003e\n\u003cli\u003eK. A. Bradley, A. F. Debenedetti, R. J. Volk, E. C. Williams, D. Frank, and D. R. Kivlahan, \u0026ldquo;AUDIT-C as a brief screen for alcohol misuse in primary care,\u0026rdquo; \u003cem\u003eAlcohol Clin Exp Res\u003c/em\u003e, vol. 31, no. 7, pp. 1208\u0026ndash;1217, Jul. 2007, doi: 10.1111/j.1530-0277.2007.00403.x.\u003c/li\u003e\n\u003cli\u003eJ. B. Saunders, O. G. Aasland, T. F. Babor, J. R. De La Fuente, and M. Grant, \u0026ldquo;Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption--II,\u0026rdquo; \u003cem\u003eAddiction (Abingdon, England)\u003c/em\u003e, vol. 88, no. 6, pp. 791\u0026ndash;804, 1993, doi: 10.1111/J.1360-0443.1993.TB02093.X.\u003c/li\u003e\n\u003cli\u003eP. Brooke and R. Bullock, \u0026ldquo;Validation of a 6 item cognitive impairment test with a view to primary care usage,\u0026rdquo; \u003cem\u003eInt J Geriatr Psychiatry\u003c/em\u003e, vol. 14, no. 11, pp. 936\u0026ndash;940, Nov. 1999, doi: 10.1002/(SICI)1099-1166(199911)14:11\u0026lt;936::AID-GPS39\u0026gt;3.0.CO;2-1.\u003c/li\u003e\n\u003cli\u003eA. S. Zigmond and R. P. Snaith, \u0026ldquo;The Hospital Anxiety and Depression Scale,\u0026rdquo; \u003cem\u003eActa Psychiatr Scand\u003c/em\u003e, vol. 67, no. 6, pp. 361\u0026ndash;370, Jun. 1983, doi: 10.1111/j.1600-0447.1983.tb09716.x.\u003c/li\u003e\n\u003cli\u003eJ.-S. Shim, K. Oh, and H. C. Kim, \u0026ldquo;Dietary assessment methods in epidemiologic studies,\u0026rdquo; \u003cem\u003eEpidemiol Health\u003c/em\u003e, vol. 36, p. e2014009, Jul. 2014, doi: 10.4178/epih/e2014009.\u003c/li\u003e\n\u003cli\u003eJ. de Jong Gierveld, T. van Tilburg, and P. A. Dykstra, \u0026ldquo;Loneliness and Social Isolation,\u0026rdquo; in \u003cem\u003eThe Cambridge Handbook of Personal Relationships\u003c/em\u003e, Cambridge University Press, 2006, pp. 485\u0026ndash;500. doi: 10.1017/CBO9780511606632.027.\u003c/li\u003e\n\u003cli\u003eM. F. Steger, P. Frazier, S. Oishi, and M. Kaler, \u0026ldquo;The meaning in life questionnaire: Assessing the presence of and search for meaning in life.,\u0026rdquo; \u003cem\u003eJ Couns Psychol\u003c/em\u003e, vol. 53, no. 1, pp. 80\u0026ndash;93, Jan. 2006, doi: 10.1037/0022-0167.53.1.80.\u003c/li\u003e\n\u003cli\u003eJ. E. Ware and J. Ware, \u0026ldquo;Version 2 of the SF12 health survey,\u0026rdquo; 2002. [Online]. Available: https://www.researchgate.net/publication/248320488\u003c/li\u003e\n\u003cli\u003eL. Sobell and M. Sobell, \u0026ldquo;Timeline Follow-Back for Alcohol Consumption,\u0026rdquo; May 07, 2012. doi: 10.1037/t06202-000.\u003c/li\u003e\n\u003cli\u003eF. C. Breslin, L. C. Sobell, M. B. Sobell, and S. Agrawal, \u0026ldquo;Brief Situational Confidence Questionnaire (BSCQ),\u0026rdquo; \u003cem\u003eBehaviour Research and Therapy\u003c/em\u003e, vol. 38, pp. 1211\u0026ndash;1220, 2000.\u003c/li\u003e\n\u003cli\u003eR. Band \u003cem\u003eet al.\u003c/em\u003e, \u0026ldquo;Development of a measure of collective efficacy within personal networks: A complement to self-efficacy in self-management support?,\u0026rdquo; \u003cem\u003ePatient Educ Couns\u003c/em\u003e, vol. 102, no. 7, pp. 1389\u0026ndash;1396, Jul. 2019, doi: 10.1016/j.pec.2019.02.026.\u003c/li\u003e\n\u003cli\u003eA. Kennedy, I. Vassilev, E. James, and A. Rogers, \u0026ldquo;Implementing a social network intervention designed to enhance and diversify support for people with long-term conditions. A qualitative study,\u0026rdquo; \u003cem\u003eImplementation Science\u003c/em\u003e, vol. 11, no. 1, Feb. 2016, doi: 10.1186/s13012-016-0384-8.\u003c/li\u003e\n\u003cli\u003eV. Braun and V. Clarke, \u0026ldquo;Using thematic analysis in psychology,\u0026rdquo; \u003cem\u003eQual Res Psychol\u003c/em\u003e, vol. 3, no. 2, pp. 77\u0026ndash;101, 2006, doi: 10.1191/1478088706QP063OA.\u003c/li\u003e\n\u003cli\u003eV. Braun and V. Clarke, \u0026ldquo;Reflecting on reflexive thematic analysis,\u0026rdquo; \u003cem\u003eQual Res Sport Exerc Health\u003c/em\u003e, vol. 11, no. 4, pp. 589\u0026ndash;597, Aug. 2019, doi: 10.1080/2159676X.2019.1628806.\u003c/li\u003e\n\u003cli\u003e\u0026ldquo;Nutridata,\u0026rdquo; https://www.apetito.co.uk/our-service/hospital-meal-services/nutridata_app.\u003c/li\u003e\n\u003cli\u003eM. C. Carter \u003cem\u003eet al.\u003c/em\u003e, \u0026ldquo;Development of a UK Online 24-h Dietary Assessment Tool: myfood24,\u0026rdquo; \u003cem\u003eNutrients\u003c/em\u003e, vol. 7, no. 6, pp. 4016\u0026ndash;4032, May 2015, doi: 10.3390/NU7064016.\u003c/li\u003e\n\u003cli\u003e\u0026ldquo;Government Dietary Recommendations Government recommendations for energy and nutrients for males and females aged 1-18 years and 19+ years,\u0026rdquo; 2016, Accessed: Jan. 23, 2025. [Online]. Available: www.gov.uk/phe\u003c/li\u003e\n\u003cli\u003eC. J. W. H. Bruijnen \u003cem\u003eet al.\u003c/em\u003e, \u0026ldquo;Prevalence of cognitive impairment in patients with substance use disorder,\u0026rdquo; \u003cem\u003eDrug Alcohol Rev\u003c/em\u003e, vol. 38, no. 4, pp. 435\u0026ndash;442, May 2019, doi: 10.1111/DAR.12922.\u003c/li\u003e\n\u003cli\u003eM. C. DiBartolo and J. M. Jarosinski, \u0026ldquo;Alcohol Use Disorder in Older Adults: Challenges in Assessment and Treatment,\u0026rdquo; \u003cem\u003eIssues Ment Health Nurs\u003c/em\u003e, vol. 38, no. 1, pp. 25\u0026ndash;32, Jan. 2017, doi: 10.1080/01612840.2016.1257076.\u003c/li\u003e\n\u003cli\u003eN. D. Forsat, A. Palmowski, Y. Palmowski, M. Boers, and F. Buttgereit, \u0026ldquo;Recruitment and Retention of Older People in Clinical Research: A Systematic Literature Review,\u0026rdquo; \u003cem\u003eJ Am Geriatr Soc\u003c/em\u003e, vol. 68, no. 12, pp. 2955\u0026ndash;2963, Dec. 2020, doi: 10.1111/JGS.16875.\u003c/li\u003e\n\u003cli\u003eR. Kathryn Mchugh and R. D. Weiss, \u0026ldquo;Alcohol Use Disorder and Depressive Disorders,\u0026rdquo; \u003cem\u003eAlcohol Res\u003c/em\u003e, vol. 40, no. 1, p. arcr.v40.1.01, 2019, doi: 10.35946/ARCR.V40.1.01.\u003c/li\u003e\n\u003cli\u003eD. Hasin, X. Liu, E. Nunes, S. McCloud, S. Samet, and J. Endicott, \u0026ldquo;Effects of major depression on remission and relapse of substance dependence,\u0026rdquo; \u003cem\u003eArch Gen Psychiatry\u003c/em\u003e, vol. 59, no. 4, pp. 375\u0026ndash;380, 2002, doi: 10.1001/ARCHPSYC.59.4.375.\u003c/li\u003e\n\u003cli\u003eS. F. Greenfield \u003cem\u003eet al.\u003c/em\u003e, \u0026ldquo;The effect of depression on return to drinking: a prospective study,\u0026rdquo; \u003cem\u003eArch Gen Psychiatry\u003c/em\u003e, vol. 55, no. 3, pp. 259\u0026ndash;265, 1998, doi: 10.1001/ARCHPSYC.55.3.259.\u003c/li\u003e\n\u003cli\u003eL. Boschloo \u003cem\u003eet al.\u003c/em\u003e, \u0026ldquo;Alcohol use disorders and the course of depressive and anxiety disorders,\u0026rdquo; \u003cem\u003eBr J Psychiatry\u003c/em\u003e, vol. 200, no. 6, pp. 476\u0026ndash;484, Jun. 2012, doi: 10.1192/BJP.BP.111.097550.\u003c/li\u003e\n\u003cli\u003eS. Kelly, O. Olanrewaju, A. Cowan, C. Brayne, and L. Lafortune, \u0026ldquo;Alcohol and older people: A systematic review of barriers, facilitators and context of drinking in older people and implications for intervention design,\u0026rdquo; \u003cem\u003ePLoS One\u003c/em\u003e, vol. 13, no. 1, p. e0191189, Jan. 2018, doi: 10.1371/JOURNAL.PONE.0191189.\u003c/li\u003e\n\u003cli\u003eC. Reczek, T. Pudrovska, D. Carr, M. B. Thomeer, and D. Umberson, \u0026ldquo;Marital Histories and Heavy Alcohol Use among Older Adults,\u0026rdquo; \u003cem\u003eJ Health Soc Behav\u003c/em\u003e, vol. 57, no. 1, pp. 77\u0026ndash;96, Mar. 2016, doi: 10.1177/0022146515628028.\u003c/li\u003e\n\u003cli\u003eS. Immonen, J. Valvanne, and K. H. Pitk\u0026auml;l\u0026auml;, \u0026ldquo;Older adults\u0026rsquo; own reasoning for their alcohol consumption,\u0026rdquo; \u003cem\u003eInt J Geriatr Psychiatry\u003c/em\u003e, vol. 26, no. 11, pp. 1169\u0026ndash;1176, Nov. 2011, doi: 10.1002/GPS.2657.\u003c/li\u003e\n\u003cli\u003eA. Kuerbis, H. Treloar Padovano, S. Shao, J. Houser, F. J. Muench, and J. Morgenstern, \u0026ldquo;Comparing daily drivers of problem drinking among older and younger adults: An electronic daily diary study using smartphones,\u0026rdquo; \u003cem\u003eDrug Alcohol Depend\u003c/em\u003e, vol. 183, pp. 240\u0026ndash;246, Feb. 2018, doi: 10.1016/J.DRUGALCDEP.2017.11.012.\u003c/li\u003e\n\u003cli\u003e\u0026ldquo;Adult malnutrition | Health topics A to Z | CKS | NICE.\u0026rdquo; Accessed: Feb. 25, 2025. [Online]. Available: https://cks.nice.org.uk/topics/adult-malnutrition/\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"bmc-geriatrics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bgtc","sideBox":"Learn more about [BMC Geriatrics](http://bmcgeriatr.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bgtc/default.aspx","title":"BMC Geriatrics","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Alcohol, older adults, nutrition, loneliness, alcohol use disorder","lastPublishedDoi":"10.21203/rs.3.rs-7176063/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7176063/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e\u003cp\u003eAlcohol-related hospital admissions are rising in England, particularly among individuals aged 65 and over. While alcohol intake and nutritional status are important factors in health outcomes, they are often overlooked. Loneliness, also common in this age group, is associated with poorer health and increased mortality.\u003c/p\u003e\u003ch2\u003eObjectives\u003c/h2\u003e\u003cp\u003eTo explore the clinical and sociodemographic characteristics, and nutritional status of older adults with alcohol use disorder (AUD) admitted to hospital.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e\u003cp\u003eParticipants were recruited from a UK tertiary teaching hospital and identified as drinking at increased risk using routine AUDIT-C alcohol screening. Measures including 6CIT (Six-item Cognitive Impairment Test), Depression and anxiety (HADS), 24-hour Dietary Recall, Social network composition, De Jong Loneliness Scale, and Meaning in life questionnaire were measured at baseline and 6 months. Qualitative telephone interviews were conducted at 6 months (n\u0026thinsp;=\u0026thinsp;7). Qualitative data were analysed using reflexive thematic analysis.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e\u003cp\u003eThirty older adults (mean age 71) were recruited. Over half (53%) showed cognitive impairment and 50% met the threshold for clinical depression. Median intakes for 4 out of 5 (80%) macronutrients were below Recommended Nutrient Intake (RNI). Recruitment and retention were challenging; 46.7% of participants were lost to follow-up including 20% who died. Qualitative findings highlighted links between social isolation and alcohol consumption.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e\u003cp\u003eAddressing alcohol use in older adults requires a holistic approach that incorporates both health and social factors. Future research should focus on improving study retention, and further exploring the intersections between alcohol use, nutrition, and social connection.\u003c/p\u003e","manuscriptTitle":"Exploring the psychosocial needs and nutritional status of older adults with alcohol use disorder: A mixed-methods study (The OLA Study)","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-09-09 09:38:47","doi":"10.21203/rs.3.rs-7176063/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"editorInvitedReview","content":"","date":"2025-09-19T11:30:20+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"333387638616042793219846005615602422820","date":"2025-09-09T09:08:22+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-08-29T12:56:13+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-08-26T03:57:45+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-08-04T11:43:15+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-08-01T14:21:50+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Geriatrics","date":"2025-08-01T14:18:39+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-geriatrics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"bgtc","sideBox":"Learn more about [BMC Geriatrics](http://bmcgeriatr.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/bgtc/default.aspx","title":"BMC Geriatrics","twitterHandle":"BMC_series","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"2f83e2d3-5f4f-46a9-9f4e-9d289af4df00","owner":[],"postedDate":"September 9th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2025-09-09T09:38:47+00:00","versionOfRecord":[],"versionCreatedAt":"2025-09-09 09:38:47","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7176063","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7176063","identity":"rs-7176063","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}