{"paper_id":"58cff650-6970-45ea-8d71-e67062dfe378","body_text":"Human fertility is influenced by a complex interplay of biological, behavioral, social, and environmental determinants. In recent years, concerns regarding declining reproductive health indicators, including reduced semen quality in men and evidence of lower ovarian reserve and poorer oocyte quality in women, have contributed to increasing attention to fertility as a global public health issue [ 1 - 4 ]. This is further reflected in the rising demand for assisted reproductive technologies in many settings, suggesting broader challenges with natural conception and reproductive outcomes [ 5 , 6 ].\nFertility and reproductive function are shaped by a wide range of factors, including age, genetics, lifestyle, nutrition, socioeconomic conditions, health care access, and environmental influences. In recent years, environmental and climatic exposures have gained increasing attention in the context of fertility. These include endocrine-disrupting chemicals (EDCs), heavy metals, pesticides, air pollution, and climate-related stressors such as rising temperatures and extreme weather events [ 7 - 11 ]. Such exposures have been associated with hormonal disruption, impaired gamete quality, and altered reproductive function [ 7 , 11 - 15 ]. In women, environmental exposures have been associated with ovulatory dysfunction, impaired implantation, miscarriage, endometriosis, and earlier menopause [ 7 , 12 , 16 , 17 ]. In men, they have been linked to impaired semen parameters, altered reproductive hormone profiles, and increased odds of testicular dysfunction [ 9 , 18 ]. In assisted reproductive settings, higher exposure to environmental pollutants has been associated with lower live birth rates and increased pregnancy loss, with similar patterns also reported among individuals conceiving naturally [ 19 - 21 ].\nAlthough evidence linking environmental and climatic exposures to fertility-related outcomes is growing, it remains dispersed across diverse populations, settings, and study designs. Fertility and reproductive function are multifactorial processes, and fertility-related outcomes vary in their methods of assessment across studies. In addition, environmental and climatic exposures are broad, continuously evolving, and measured using different approaches, limiting comparability across studies. This heterogeneity makes it difficult to synthesize the evidence and obtain a comprehensive understanding of the field.\nReviews conducted in the past have examined specific environmental exposures in relation to fertility and reproductive health. A systematic review by Checa Vizcaíno et al [ 22 ] evaluated the impact of air pollution on human fertility, while another systematic review by Conforti et al [ 23 ] focused on air pollution and female infertility. More recently, a systematic review by Segal and Giudice [ 24 ] summarized evidence related to reproductive health and environmental stressors, including air pollution, heat stress, floods, wildfires, and toxic chemicals. A scoping review conducted by Heo et al [ 25 ] studied the impact of ambient temperature on human infertility. Narrative reviews have also explored environmental toxins in relation to male fertility and female infertility [ 26 , 27 ]. However, the available reviews vary in scope, populations included, and outcomes assessed, with some focusing on specific environmental domains or selected reproductive outcomes, and others including animal, in vitro, and human studies. A broader synthesis is needed to understand the range of environmental and climatic exposures studied in human populations, fertility-related outcomes assessed, study populations and settings included, and areas where evidence remains limited, focusing specifically on evidence from human studies.\nAs climate change accelerates and environmental degradation continues in many regions, understanding these relationships is increasingly important and timely. Given the broad scope of the topic and the breadth of available evidence, a scoping review approach is appropriate. This manuscript presents a protocol for a scoping review designed to systematically map global evidence on environmental and climatic factors influencing human fertility-related outcomes.\nThe primary objective of this scoping review is to map and synthesize the extent, range, and nature of the global evidence on how environmental and climatic factors influence human fertility outcomes. We aim to capture the environmental and climatic exposures that have been studied, characterize the fertility-related outcomes assessed, and summarize the associations reported between these exposures and outcomes.\n\nThe present protocol was developed in accordance with the Arksey and O’Malley [ 28 ] scoping review framework and will be reported following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines ( Checklist 1 ) [ 29 ]. The review will follow the methodological stages originally outlined by Arksey and O’Malley [ 28 ]: (1) identifying the research questions (RQs); (2) identifying relevant studies; (3) selecting eligible studies; (4) charting the data; and (5) collating, summarizing, and reporting the results.\nThe protocol has been registered with the OSF Registries (osf.io/7tu9s), and any amendments will be documented in the registration record to maintain transparency.\nGuided by the study objective, the review will address the following overarching RQs:\nWhich environmental exposures, their measurement metrics, and exposure windows have been examined in relation to human fertility?\nWhat fertility outcomes (eg, clinical pregnancy, time to pregnancy, and live birth) have been examined in relation to those exposures, and how were they defined, measured, or ascertained?\nWhat study designs, populations, and settings have been used, and where are the evidence clusters, gaps, and methodological needs (eg, mixtures, personal exposure, and confounding control)?\nWhich environmental exposures and fertility-related outcomes demonstrate consistent associations, and where is the evidence inconclusive?\nWhich populations, geographic regions, exposures, or outcomes are underrepresented in the current evidence base, and what are the implications of these gaps for advancing global equity in fertility research (eg, low- and middle-income countries and vulnerable populations such as occupationally exposed groups)?\nThe scope of this review is deliberately kept broad to capture all relevant literature, but the questions are clearly defined to maintain focus. We will use the population, concept, and context (PCC) framework (as recommended by the JBI) to clarify the key components of the RQs and eligibility criteria [ 30 ].  Textbox 1  summarizes the PCC elements for this review.\nPopulation\nThis will include women of reproductive age (aged 15-49 years), adult men, couples attempting to conceive, individuals in the general population or fertility clinic settings, and early adolescents (aged 10-14 years). Although fertility-related outcomes are commonly assessed during the reproductive years, environmental and climatic exposures that may influence reproductive development and future reproductive function likely begin much earlier in life. Inclusion of the early adolescent age group will allow assessment of environmental exposures examined during early adolescence and their relationship with reproductive function and subsequent fertility-related outcomes. This age represents a critical window of susceptibility during which the reproductive system undergoes rapid maturation. We acknowledge that evidence in this age group may be limited and may include indirect, longitudinal, or retrospective studies.\nThere will be no restriction on health status; both individuals who are fertile and individuals who are subfertile or infertile will be included.\nConcept\nThis encompasses any environmental exposure that could plausibly influence human reproductive function. Examples include ambient air pollution, water or soil contaminants, endocrine-disrupting chemicals, industrial and traffic-related emissions, persistent organic pollutants, occupational environmental exposure (eg, farming, mining, and manufacturing), extreme temperatures (eg, heat waves and cold spells), climate factors (eg, humidity, rainfall patterns, and droughts), and broader climate change–related events (eg, heat index trends, wildfires, and flooding) when examined in relation to fertility outcomes.\nWe will include any measured fertility-related outcomes, whether at the individual level (eg, clinical pregnancy and time to pregnancy) or population level (eg, birth rate and total fertility rate [TFR]), that reflect reproductive function and fertility potential. These include reproductive outcomes such as pregnancy rate, live birth rate, fecundability, time to pregnancy, infertility prevalence or incidence, and TFR. Measures of reproductive function will also be included, such as semen quality parameters, indicators of ovulatory function, and hormonal markers such as anti-Müllerian hormone, follicle-stimulating hormone, and testosterone. Molecular and cellular markers such as sperm DNA fragmentation and oxidative stress or reactive oxygen species will also be considered. Pregnancy-related outcomes such as miscarriage or recurrent pregnancy loss and stillbirth will be included as important events reflecting failure to achieve or maintain a viable pregnancy.\nContext\nThe review will have a global scope, with no restriction based on geography or setting. We will include evidence from all countries and regions, including low-, middle-, and high-income countries; urban and rural settings; and community-based, occupational, and clinical settings. Studies from all periods up to the present will be included.\nWe anticipate a wide range of exposure metrics in the included studies. For this review, environmental and climatic exposures will be defined according to how they were defined and measured in the eligible studies; for example, average ambient temperature, heat index, or extreme heat days; particulate matter with an aerodynamic diameter of ≤2.5 μm (PM 2.5 ) concentration in air; and blood levels of heavy metals or endocrine disruptors. We will record the exposure definition, measurement method, exposure period, and relevant thresholds or categories where reported. Fertility-related outcomes will likewise be taken as defined in each study and will be extracted according to the authors’ definitions or criteria, including how infertility was diagnosed or time to pregnancy was measured. By allowing diverse measures, we remain inclusive and align with scoping review best practices that emphasize breadth [ 31 ]. However, study-specific exposures and outcomes will be compiled and categorized during data charting based on the characteristics of the available evidence and refined as needed to support meaningful summarization. An indicative list of potential occupational and environmental exposures is presented in  Table 1 .\nThis review will focus on both male and female fertility, recognizing that men may be disproportionately affected by environmental exposures due to occupational hazards, industrial pollutants, and lifestyle-related environmental factors. Including male reproductive outcomes allows a comprehensive assessment of how environmental and climatic factors influence fertility across sexes and captures potential differential vulnerability and exposure pathways. An indicative list of potential outcomes is presented in  Table 2 . This list may be refined following a review of the existing literature.\nPM 2.5 : Particulate matter with an aerodynamic diameter of ≤2.5 μm.\nPM 10 : Particulate matter with an aerodynamic diameter of ≤10 μm.\nVOC: volatile organic compound.\nPAH: polycyclic aromatic hydrocarbon.\nEDC: endocrine-disrupting chemical.\nFailure to achieve a clinical pregnancy after ≥12 months of regular, unprotected intercourse (≥6 months if woman aged ≥35 years) or clinician-diagnosed infertility\nInability to conceive after a previous pregnancy or live birth despite 12 months of unprotected intercourse\nInfertility in couples where standard evaluation (ovulation, tubal patency, semen analysis) reveals no abnormality\nReduced probability of conception that does not meet the infertility threshold (eg, prolonged time to pregnancy, recurrent early loss\nFecundability, the probability of achieving pregnancy within one menstrual cycle\nTime-to-pregnancy, the number of months (or menstrual cycles) from the initiation of unprotected intercourse to the onset of pregnancy\nFecundability odds ratio, the ratio of per-cycle conception odds in exposed vs unexposed groups\nBiochemical pregnancy, positive serum/urine β-hCG without ultrasound confirmation\nClinical pregnancy, ultrasound visualization of a gestational sac or definitive evidence of pregnancy\nLive birth, delivery of a living infant at ≥24 weeks of gestation\nEarly pregnancy loss, pregnancy loss before 12 weeks (includes biochemical loss, miscarriage)\nAnti-Müllerian hormone, a hormone secreted by the granulosa cells of small growing ovarian follicles (especially pre-antral and small antral follicles) and used clinically to assess ovarian reserve in infertility evaluation, predict the response to ovarian stimulation in assisted reproductive technology, support the diagnosis of conditions like polycystic ovary syndrome (where anti-Müllerian hormone may be elevated)\nFollicle-stimulating hormone\nLuteinizing hormone\nEstradiol\nProgesterone\nProlactin\nAntral follicle count, the number of small ovarian follicles, typically measuring 2‐10 mm in diameter, observed and counted via transvaginal ultrasound during the early follicular phase (usually on days 2–5 of the menstrual cycle); these follicles are counted in both ovaries and summed to determine ovarian reserve.\nOvulatory function, the ability of the ovary to release a mature oocyte (egg) during each menstrual cycle following normal follicular development and rupture\nMenstrual cycle regularity, defined as cycles that occur at fairly consistent intervals, usually with a cycle length between 24‐38 days\nLuteal phase metrics, the period from ovulation to the onset of menstruation, during which progesterone secretion is vital to prepare the endometrium for potential embryo implantation (normal length is 11‐17 days with adequate progesterone secretion)\nCoital frequency, the number of acts of sexual intercourse within a specified time frame (typically per week or per menstrual cycle)\nOocyte yield, the number of mature oocytes retrieved after controlled ovarian stimulation\nFertilization rate, the proportion of retrieved oocytes successfully fertilized (pronuclei formation)\nEmbryo quality, morphological grading of the embryo (cell number, fragmentation, blastocyst score)\nImplantation rate, the number of gestational sacs observed divided by the number of embryos transferred\nAbnormalities in sperm concentration, total count, motility (total and progressive motility), vitality, morphology, or volume, as per WHO reference standards\nAltered levels of reproductive hormones such as testosterone, follicle-stimulating hormone, luteinizing hormone, and inhibin B\nTesticular dysfunction, cryptorchidism, varicocele, or altered testicular volume\nEvidence of DNA fragmentation, oxidative stress, or epigenetic changes in sperm\nA comprehensive literature search was conducted across PubMed, Embase, Web of Science Core Collection, and the Cochrane Library to identify published studies addressing the review questions. These databases collectively index a wide range of biomedical, public health, environmental science, and cross-disciplinary research. Additionally, we used citation tracking by scanning the reference lists of included articles and pertinent review articles to identify additional studies not captured in the database search.\nRelevant vocabulary terms, including MeSH, Emtree terms, and free-text terms identified through preliminary searches, were used to develop the search strategy. The search included phrases related to environmental and climatic exposures, such as “environmental pollution,” “particulate matter,” “heavy metals,” “endocrine-disrupting chemicals,” “climate change,” and “global warming,” combined with fertility outcomes, such as “fertility,” “infertility,” “fecundity,” “reproduction,” “sperm,” “semen,” “pregnancy rate,” “time-to-pregnancy,” and “live birth.” Additional terms related to noise, mobile phone exposure, and processed or preserved foods were considered to capture environmental exposure pathways, including noise pollution, electromagnetic or heat exposure, and preservatives and packaging-related chemicals that may influence fertility-related processes and reproductive function. Search terms were suitably combined using Boolean operators (AND and OR), truncation, and database-specific syntax, and the search strategy was adapted for each database ( Multimedia Appendix 1 ). The review will include human studies published in English from database inception to the date of the search, which was conducted between February 2026 and March 2026, with no geographical restrictions.\nThe search results from all sources were imported into the systematic review management software Covidence (Veritas Health Innovation) for deduplication and screening. We will update the searches before the final analysis, if necessary, to capture newly published studies up to the point of review completion.\nWe implemented a 2-level screening process of retrieved records: first by titles and abstracts and then by full text. Reviewers independently screened the title and abstract of each retrieved reference for potential relevance, applying the inclusion and exclusion criteria. At the title and abstract stage, we were overinclusive so that any reference that possibly met the criteria or was unclear was advanced to full-text review. Next, full texts of all potentially relevant studies are obtained and screened independently by a team of reviewers against the eligibility criteria. Appropriate reasons for exclusion at the full-text stage are recorded using a predefined list of categories, such as ineligible population, ineligible study design, ineligible article type, nonhuman study, exposure or outcome of interest not evaluated, study objective not relevant, full text not available, article not available in English, or article could not be traced. This list may be updated iteratively during the review process, if required.\nThe review team was trained prior to screening and will hold regular meetings to discuss areas of concern, clarify uncertainties, and revisit the eligibility criteria, where required. Any disagreements between reviewers will be resolved through discussion or by consulting a third independent reviewer, as needed. Studies with conflicting decisions between reviewers are flagged as conflicts in Covidence and will be adjudicated by the third reviewer.\nWe will illustrate the study selection process in a PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flow diagram in the final review report, showing the number of records at each stage of the review process [ 29 ].\nStudies will be eligible for inclusion if they meet the following criteria: (1) the participants are humans (individuals or couples) in early adolescence or of reproductive age, (2) an environmental or climatic exposure is evaluated or clearly present as a factor, (3) at least 1 fertility-related outcome or indicator of reproductive capability is assessed, and (4) the study design includes observational studies (cohort, case-control, cross-sectional, case series, and ecological studies) or interventional studies if the intervention modifies an environmental exposure.\nAnimal and in vitro studies, as well as case reports, will be excluded. Studies in which outcomes are limited to maternal or neonatal complications following an established pregnancy that are unrelated to fertility processes or the ability to achieve a live birth (eg, low birth weight, preterm birth, or intrauterine growth restriction) will be excluded. Studies reporting outcomes such as miscarriage or spontaneous abortion, stillbirth, or recurrent pregnancy loss will be included. Studies of environmental or climatic exposures assessed after pregnancy is established will be excluded unless they report outcomes related to the ability to maintain pregnancy or achieve a live birth. Studies focusing on general health outcomes or solely on sexual behavior or contraceptive use rather than fertility will not be included.\nQualitative studies will be excluded unless they report measurable fertility-related outcomes. However, qualitative studies that provide contextual insights into fertility-related processes and environmental exposures may be summarized narratively. Systematic reviews and meta-analyses will not be included as primary sources in data charting to avoid duplication of evidence; however, they will be used for reference mining. Similarly, narrative reviews will also be used to identify additional relevant studies from their reference lists. Editorials, commentaries, and opinion pieces will be excluded unless they report extractable original empirical data relevant to the review objectives.\nEligible studies will be included irrespective of funding source, and information on funding and conflicts of interest will be extracted where available. The review will include studies published in English, with no exclusion based on geographical location, study setting, or publication date.\nFor potentially relevant studies with only abstract-level information available, or where information is missing or unclear, we will attempt to contact the authors once. If no response is received, these studies will be excluded from data synthesis. For relevant conference abstracts, we will first attempt to identify a corresponding full-text publication. If a full text is unavailable, we will contact the authors once to obtain study details. In the absence of a response, such studies will be excluded from data synthesis.\nGiven the broad scope, we expect a sizeable number of included studies, and we will synthesize this information by subcategorizing as needed (eg, by exposure type or outcome type during data charting).\nWe will extract and chart data from each included study using a standardized form. A preliminary data charting form is provided as  Multimedia Appendix 2 , and it will undergo iterative refinement during the review process. We will refer to benchmark articles identified during the full-text review to further refine the data extraction fields, where needed. Independent reviewers will pilot the form on the first 5 to 10 studies and meet to refine the form to ensure that all key data and any emerging relevant variables are captured. The data fields extracted for each study are shown in  Table 3 .\nIn addition, information on funding sources and conflicts of interest, as reported, will be extracted ( Multimedia Appendix 2 ).\nA team of reviewers will extract data independently from each included study. We will compare the extracted forms for consistency, and any discrepancies will be resolved through discussion and consensus or, where necessary, by consultation with a third reviewer. The finalized data chart for each study will form the basis of our evidence synthesis.\nIn addition, the methodological quality of included studies will be appraised using the relevant JBI critical appraisal checklist according to study design. Appraisal findings will be descriptively summarized. These findings will help us understand the strengths and limitations of the evidence base and support the interpretation of findings.\nGiven the broad scope of this review, evidence synthesis will involve both quantitative mapping and narrative synthesis, in line with scoping review recommendations.\nStudy characteristics will be summarized in a table detailing study design, geographic location, country income level, study setting, population characteristics, sample size, exposures, and outcomes. The distribution of studies over time and across geographic regions will be illustrated using appropriate figures and maps.\nTo address RQ 1 and RQ 2, evidence will be mapped to describe the range of environmental exposures examined, their measurement metrics, exposure windows, and fertility-related outcomes assessed, including their definitions and methods used for their ascertainment. Exposure categories and outcome domains will be descriptively categorized. A heatmap matrix will be used to visualize intersections between these exposure categories and outcomes, providing an overview of the most commonly studied exposure-outcome pairs.\nFurthermore, to address RQ 4, the consistency of findings for a given exposure-outcome relationship will be assessed descriptively by examining the direction and significance of reported findings across studies. Each exposure-outcome relationship will be summarized using cautious categories such as evidence suggesting an adverse association, no association reported, mixed or inconclusive evidence, limited evidence, and insufficient studies, without formal assessment of effect size or causal inference. These categories will be developed during data charting based on the characteristics of the available evidence and refined as necessary to ensure meaningful synthesis. Findings will be presented using appropriate visual methods. Additionally, evidence will be narratively synthesized by grouping studies by exposure category; describing mechanistic pathways reported in the literature; and highlighting areas of consistent findings, mixed evidence, and evidence gaps.\nTo address RQ 3 and RQ 5, findings will be mapped by population groups and country income level to identify populations and areas where research has been conducted and where evidence is limited. Geographic regions and country income levels will be classified according to the World Bank classification. Furthermore, to explore whether reported associations differ by study population context, we will stratify findings by setting, distinguishing between clinic-based (hospital cohorts) and community-based (eg, population-based, registry-based, or household cohorts) studies.\nParticular attention will be given to study design and methodological characteristics. Occupationally exposed populations will be identified based on study definitions and reported exposure context, where available.\nAlthough the planned approaches to evidence synthesis and presentation are described previously, these may be refined following completion of data extraction based on the nature, breadth, and heterogeneity of the available evidence to ensure that the most appropriate methods are used for summarizing and presenting the findings.\nThe results will be reported in line with PRISMA-ScR guidelines, including a checklist. In the discussion, emerging patterns in the evidence will be interpreted, along with possible biological mechanisms and public health implications. We will also identify gaps and recommend priorities for future research to guide both science and policy.\nThis study is a review of existing published and publicly available data, and we will not access any individually identifiable information. The protocol has been registered on the OSF Registries (osf.io/7tu9s). We will disseminate the findings via a peer-reviewed publication.\n\nThe protocol was submitted to the journal on January 19, 2026. Database searches were completed in the first week of March 2026, followed by completion of title and abstract screening at the end of May 2026. Full-text screening commenced in June 2026, with data extraction and synthesis to be conducted after completion of study selection. The anticipated study timelines are presented in  Table 4 .\nThe review is expected to provide a structured synthesis of human evidence on environmental and climatic influences on fertility-related outcomes, summarizing the range of exposures and outcomes studied and key study characteristics such as the populations, settings, study designs, and methods used to define and measure these exposures and outcomes.\nThe synthesis will also report the direction and significance of findings; identify areas of consistent, mixed, or limited evidence; and highlight policy-relevant gaps in knowledge and priorities for future research.\n\nAs global fecundity trends evolve and concerns about environmental exposures and climate change intensify, understanding how the environment influences reproductive potential is urgent [ 48 ]. This work aligns with global development priorities by addressing the intersection of Sustainable Development Goals 3 (good health and well-being) and 13 (climate action) [ 49 ].\nThis review has some anticipated limitations. Gray literature and non-English publications will not be included, and certain region-specific databases will not be searched, which may prevent the identification of some relevant studies. To mitigate these gaps, the reference lists of included studies and relevant reviews will be screened to maximize evidence capture. We will try to reach out to authors for articles for which the full text is not available. Study quality will be assessed using appropriate, design-specific checklists. Any deviations from the protocol will be documented and reported.","source_license":"CC-BY-4.0","license_restricted":false}