Open research questions in Health disparities and outcomes
211 unresolved questions extracted from the limitations and future-work sections of 3,371 Health disparities and outcomes papers in our library. Each links back to the study that raised it.
What the literature leaves open
Design village-specific family-strengthening and social participation activities health planning. In a Thai community context, family support often functions as a primary psychosocial resource. Therefore, depression screening should not be limited to individual symptom assessment but should also consider household support, caregiver availability, and social participation.
GIS-Linked Spatial Contextualization of Depression-Related Service Needs among Older Adults in Lat Yai Subdistrict, Samut Songkhram Province, Thailand · 2026 · DOIFuture research could explore the relationship between social mobility and 1 3Intergenerational income mobility and psychotropic drug dispensation in a 1953 Stockholm cohort: a diagonal… psychotropic drug use across various contexts and applying diverse socioeconomic measures. Further investigation is warranted to understand the reasons behind this contrast.
Intergenerational income mobility and psychotropic drug dispensation in a 1953 Stockholm cohort: a diagonal reference model approach · 2026 · DOIThe BRFSS is the best dataset for our study because it is representative within each state, has a large sample size, and spans multiple decades, but it has limitations. First, the BRFSS data are cross-sectional, so we cannot assess causality or determine the temporal order between educational attainment, the individual-level factors, and health. Thus, we cannot claim that our estimates reflect causal effects from educa- tion to the mediators to adult health, as the estimates may also contain an effect of early-life health, or other early-life circumstances, on educational attainment. That said, multiple studies using longitudinal data and causal inference methods to assess the causal order between educational attainment and self-rated health conclude that it runs from the former to the latter (Luo & Wei, 2024; Warren, 2009). Second, while 1 3Changes in the Education-Health Gradient Within U.S. States,1993–… 37 Page 24 of 29 our six individual-level factors capture the main domains widely studied in this lit- erature, the particular indicators we used to measure them were limited to those avail- able in the BRFSS. Additional measures may help explain more of the increasing gradient. This critique is particularly relevant for states where the factors explained a relatively small portion of the increasing gradient. We also note that the complexity of the analysis (e.g., estimating and interpreting education-by-time interactions and nine potential explanatory factors for those inter- actions across 50 states) and, in particular, our objective to compare changes in the gradient across states required simplifying assumptions such as a linear association between education and health and a linear time trend across all 50 states. Alternatives include using a more complex functional form for the education-health association (i.e., step-changes) and year (i.e., quadratic) on all 50 states, or using functional forms that are optimized specifically for each state. In both cases, the costs to interpretabil- ity and to the ability to compare the gradient across states far exceed any benefits from the added complexity. Using a linear functional form for all states, our estimates may be somewhat less precise than if we had used functional forms specific to each state but the consistency in our findings across states in Aim 2 provides confidence in the conclusions. We also note that in ancillary analyses, we estimated changes in the gradient using a binary logistic regression model to allow for a nonlinear rela- tionship between educational attainment and the probability of favorable health, and found similar estimates of how the gradient changed in each state. Lastly, exploring potential variation across demographic subgroups, such as race or age, and the fac- tors underlying the variation, is important but beyond the scope of the present study.
Abstract Background Self-rated health (SRH) is one of the most widely used indicators in population health research, yet the meanings respondents attach to this global item remain insufficiently understood.
Reasons behind individuals’ self-ratings of health: an analysis of responses to an open-ended survey question · 2026 · DOIA shared incentive scheme, the Investment and Impact Fund (IIF), was introduced for primary care networks (PCNs) with aims to improve population health and care delivery, but its equity impact remains unknown.
Deprivation and primary care network performance: a national cross-sectional study of the Investment and Impact Fund scheme · 2026 · DOIThis study has several important limitations that should be considered when interpreting the results. First, our outcome measure relied on self-rated health, which may be subject to reporting bias, social desirability effects, and cultural variations in health perceptions across different educational groups and time periods (Jylhä 2009; Bauhoff 2011). However, self-rated health remains the most widely accepted and validated single-item indicator of overall health status in population health research, demonstrating strong predictive validity for mortality, morbidity, and healthcare utilization across diverse populations and settings, making it an appropriate and comparable measure for assessing population-level health trends over time. Second, the sample might exhibit selection bias toward healthier individuals, as it excluded institutionalized populations and may be subject to healthy participant bias common in survey research (Beller et al. 2022a). Third, our temporal coverage was limited to a 19-year period (2004-2023), which may not capture longer-term secular trends in educational expansion or the full life-course effects of education on health outcomes across multiple generations. Nevertheless, this timeframe encompasses a period of substantial educational expansion in Germany and provides sufficient temporal variation to detect meaningful trends, while the regular data collection intervals of the ALLBUS survey ensure highquality, representative data that capture important demographic and social changes during this period. Fourth, our analysis was constrained to a single country context, which may limit the generalizability of findings to other educational systems, healthcare contexts, or cultural settings with different patterns of educational expansion and health outcomes.
(1) The results come from secondary analysis of data from multiple rounds of a national survey. National-level secondary data is not targeted for the purpose of any specific research study, resulting in limited questions and answers that cover relevant variables for developing AIPI. This led to the absence of some beneficial variables for considering the selection of important variables for developing the AIPI. (2) Consid- ering multiple sources of other secondary data. Data sources in Thailand have several limitations, such as the primary survey not collecting information related to the older, the survey periods not aligning with the database years, and the completeness of the data. Therefore, it was not possible to consider selecting multiple secondary data sources for this research. This study used a single source of secondary-level data from Thailand. Acknowledgements We would like to express gratitude to the esteemed experts who provided assistance in reviewing the research tool for the Aging Index in place, namely, Professor Emeritus Dr. Pramote Prasartkul from the Institute for Population and Social Research, Mahidol University, Dr. Napaphat 1 3F. Hattapradit et al. Satchanawakul from the United Nations Economic and Social Commission for Asia and the Pacific (UN- ESCAP), and Ms. Siriwan Arunthippaitoon from the Department of Older Persons, Ministry of Social Development and Human Security. Their valuable suggestions have greatly contributed to the improve- ment of the research. The researcher would like to extend heartfelt thanks to all of them on this occasion. Author contributions The contributions of the authors are as follows: FH. served as the lead author and was responsible for the conceptualization, methodology, data curation, and drafting of the original manu- script. SP., KT., PK., and YT. provided supervision, contributed to the methodology, offered recommenda- tions for policy utilization, and approved the final version of the manuscript. CW., as the corresponding author, contributed to conceptualization and methodology, and was responsible for reviewing and editing the manuscript, as well as managing correspondence throughout the submission and publication process. Funding No funding. Data Availability The study uses secondary data from (SOPT), the datasets analyzed during the current study are available in the National Statistical Office (NSO) of Thailand repository, h t t p s : / / w w w . d o p . g o . t h / d o w n l o a d / k n o w l e d g e / t h 1 6 8 7 6 1 2 7 4 8 - 2 4 0 6 / _ 0 . p d f .
Nevertheless, we reiterate Ray and Rushing’s (20) suggestion that future research should investigate the effective- ness of self-initiated coping strategies through longitudinal assess- ment of loneliness scores.
Self-initiated strategies for managing loneliness: insights from two large-scale surveys · 2026 · DOIThis study is among the first to apply propensity score-based causal methods to nationally representative data from Lesotho, enhancing covariate balance and reducing confounding in an observational setting. The use of complementary analytic approaches and the most recent LDHS data strengthens the robustness and relevance of the findings. However, several limitations should be considered. First, the cross-sectional design precludes establishing temporality between exposures and hypertension, and therefore causal inferences should be interpreted with caution. In particular, the possibility of reverse causation cannot be ruled out, as underlying health conditions may influence both socioeconomic status and blood pressure. Second, blood pressure was measured at a single time point and may be subject to short-term variability or measurement error. Third, residual confounding due to unmeasured factors cannot be excluded. In partic- ular, detailed behavioral variables such as dietary intake and physical activity were not available in the dataset. These factors are likely to lie on the causal pathway linking socioeconomic status to hypertension and, if included, could intro- duce overadjustment bias; however, their absence may also contribute to incomplete adjustment for relevant exposures. Despite these limitations, the consistency of findings across multiple analytic approaches supports the robustness of the observed associations.
Association of household wealth and education with hypertension among adults in Lesotho: Evidence from a propensity score–based study · 2026 · DOIThis study has several limitations that should be acknowl- edged. First, our sample was limited to German partici- pants, which may restrict the generalizability of findings to other cultural and national contexts [7]; however, this focus allowed us to examine a large, population-based sample. In a similar vein, future studies with larger sam- ples could explore even more fine-grained age categori- zations to further elucidate how the disability-loneliness association unfolds across later-life stages. Going even further, future research could employ non-linear regres- sion frameworks in which age is treated as a continuous variable and interacted with functional limitation status, which would allow for a more fine-grained assessment of potential nonlinearities in the association between func- tional limitations and loneliness across the age range. Second, we utilized a relatively brief loneliness instru- ment rather than more comprehensive measures; never- theless, this approach enabled us to differentiate between emotional and social loneliness dimensions, which has been identified as a critical gap in previous disability and loneliness research [20]. While the six-item De Jong Gierveld Scale has been validated for large-scale survey research and enabled the crucial distinction between emotional and social loneliness, future studies could still benefit from employing longer and more comprehensive loneliness instruments that offer greater measurement precision and a wider score range, potentially revealing more subtle differences between groups. Furthermore, the possible interpretations discussed above represent plausible but empirically untested mechanisms. Future research using longitudinal designs and direct measures of these mediating processes would be needed to sub- stantiate these hypotheses. Finally, the cross-sectional design of our study prevents causal inferences about the relationship between functional limitations and loneli- ness. Longitudinal studies, such as those by Abaei and Martin employing cross-lagged panel models to exam- ine the dynamic interplay between loneliness and cogni- tion in older adults [13, 14], illustrate the kind of designs that would be needed to establish temporal precedence and causal pathways in this domain. In a similar vein, future studies could particularly benefit from adopting longitudinal designs by clarifying the temporal dynam- ics between aging, functional limitations, and loneliness. Such designs would allow researchers to disentangle whether functional limitations lead to increased loneli- ness or whether loneliness itself accelerates functional Beller et al. BMC Public Health (2026) 26:1758 decline, and how these processes may differ across the life course.
Functional limitations and loneliness in middle-aged and older adults: differentiating emotional loneliness and social loneliness · 2026 · DOIThis systematic review has several strengths. It focuses on the concepts of isolation and loneliness as well as social support and social integration. A complex search strategy was employed to comprehensively search mul- tiple databases for eligible studies. Furthermore, study screening and risk of bias assessment were conducted by two independent researchers. This is one of the first reviews to address AI and robotic interventions. When searching for appropriate studies, it is possible that some studies were not indexed in the databases searched or were missing for other reasons. Addition- ally, only English and German language articles were included, which may have led to the exclusion of rele- vant research conducted in other languages. As a result, the findings may not fully reflect global perspectives on interventions against loneliness. Future reviews could consider broader language inclusion criteria to enhance international representativeness. Further limitations arise from the defined exclusion criteria, which were based on the setting, participants' health status, and level of care. The exclusion of institutional settings, such as nursing homes and assisted living facilities, enabled a focused analysis of interventions targeting community-dwelling older adults. However, this decision limits the general- izability of the findings to institutionalized populations, who may experience loneliness within distinct structural and social care contexts. This may have led to the omis- sion of some relevant forms of intervention against lone- liness. Due to the heterogeneity in outcome parameters, assessments, study populations, study designs and effect estimates among the studies, there was no intention to combine results statistically. Consequently, our findings on efficacy and effectiveness should be interpreted with caution.
Interventions against loneliness and social isolation in older adults– a systematic review · 2026 · DOIThis study has several limitations which future research can optimize. First, since there are no panel data specifically for the health of the floating older adults in China, this study could use only cross-sectional data for analysis. Second, because this study only collected data from three cities in Guangdong Province, it is necessary to verify if its conclusions can be generalized to other regions of China. Apart from that, this study primarily focuses on the impact of neighborhood social capital on mental health. Although some key demographic and sociological variables were considered, some potential influential variables such as mobile duration and community type were not included in the current analysis to keep the model concise and avoid over-interpretation. Finally, the KMO and Cronbach’s alpha values of some scales, such as social wellbeing and cognitive social capital, were lower than 0.8, which meant acceptable but not optimal. This implied that measurement was insufficient in fully capturing the distinctive experiences of populations undergoing social transition. Moreover, evaluating abstract concepts imposed cognitive challenges on the floating older adults, who possess varying levels of education and cognitive abilities. In light of these factors, future research should focus on developing customized tools tailored to this specific demographic.
The dual effects of social capital on mental health: a study of structural and cognitive dimensions among the floating older adults in China · 2026 · DOIhighlight the need for more rigorous and replicable estimates under standardized, cross-national frameworks. This study integrates data from three nationally representative aging cohorts—CHARLS (16), HRS (17), and ELSA (18). Under a harmonized analytic framework, SLEs were defined as the primary exposure, with event count also considered. Incident heart disease was treated as the main outcome, and Cox proportional hazards (PH) models using attained age as the time scale were applied to estimate comparable, stratified, and covariate-adjusted associations. Multiple prespecified sensitivity analyses were conducted to assess the robustness of the association between adult SLEs and incident heart disease. This study design aims to enhance both internal consistency and external generalizability. If robust and dose-dependent associations are observed, the findings could support the integration of stress assessment and intervention into primary cardiovascular prevention and risk stratification across diverse for older populations. In addition, the results may inform future research on more refined characterization and intervention targeting of stress exposures.
Cross-national associations between adulthood stressful life events and incident heart disease: a multicohort harmonized analysis · 2026 · DOIThese patterns reveal US women's poor and declining longevity relative to those in other high-income countries, gaps in knowledge about painful and debilitating conditions that affect millions of women, and deep inequalities that underscore the need to redress political and structural features of US society that enhance health for some and diminish it for others.
Discussion Even if the study sample is small, the study makes an important contribution to the body of existing literature because knowledge is insufficient on changes over time regarding the living conditions of people with ID in community‐based residences.
OBJECTIVES: Although research shows that public health is substantially affected during and after disasters, few studies have examined the health effects of Hurricane Harvey, which made landfall on the Texas coast in August 2017.
Disparities in Health Effects and Access to Health Care Among Houston Area Residents After Hurricane Harvey · 2020 · DOI2010; Montero-López Lena, María, Pobreza como Dolor Social, su Impacto sobre la Salud Física y Mental en la vejez, 2018), there is limited research on the association of these variables on the mental health of older adults in Mexico.
We provide parameters for a theory of information intermediary intervention to guide future examination of an important and understudied role; and conceptualize important theoretical relationships between information behavior and social capital, and in particular shared concepts of social integration, and the progressive and integrative intermediary role within.
Information behaviors in disadvantaged and dependent circumstances and the role of information intermediaries · 2018 · DOIRESULTS: Based on data from 194 countries, we highlight differences in older adults' health and consider three issues: First, multilevel factors that contribute to differences in healthy ageing, across contexts; second, policies or potential entry points for action that could serve to reduce unfair differences (health inequities); and third, new research areas to address the cause of persistent inequities and gaps in evidence on what can be done to increase healthy ageing and health equity.
Healthy Ageing: Raising Awareness of Inequalities, Determinants, and What Could Be Done to Improve Health Equity · 2016 · DOIBACKGROUND: Growing spatial social and economic polarisation may be an important societal determinant of health, but only a few studies have used the recently developed Index of Concentration at the Extremes (ICE) to analyse the impact of joint concentrations of privilege and privation on health outcomes.
Spatial social polarisation: using the Index of Concentration at the Extremes jointly for income and race/ethnicity to analyse risk of hypertension · 2015 · DOILimited information on variables such as individual-level socioeconomic status (SES) and social supports is outweighed by strengths that include comprehensive follow-up, continuous data collection, objective measures, and relatively low expense.
Medical research may identify sex differences when they exist; however, the varied social roles, expectations, and constraints experienced by men and women in a given society go well beyond the individual and sex differences and are rarely examined as inputs responsible for variation in health outcomes.
We also echo calls for further research on the effectiveness of interventions aimed at tackling the intermediate and structural determinants of inequalities and warn against a return to behavioural explanations which are overly simplistic and have the potential to stigmatise already disadvantaged individuals and communities.
Health Inequalities in Developed Nations · 2010Overall, while the findings support the general validity of most of the self-report measures in studies of normal and successful ageing, consideration of social desirability response bias in the interpretation of self-reports of low levels of some key constructs (anxiety, hostility, stress, self-perceived cognitive deficits) is warranted.
Social desirability does not confound reports of wellbeing or of socio-demographic attributes by older women · 2010 · DOIAlthough data limitations do not allow a definitive resolution of the issue, this evidence is inconsistent with the claim that intelligence is the elusive fundamental cause of health disparities, and instead supports the idea that the flexible resources people actively use to gain a health advantage are the SES-related resources of knowledge, money, power, prestige, and beneficial social connections.
The Resources That Matter: Fundamental Social Causes of Health Disparities and the Challenge of Intelligence · 2008 · DOI
Most-cited papers in Health disparities and outcomes
- Socioeconomic status and health: The challenge of the gradient. · American Psychologist · 1994 · 2,258 citations
- The Association Between Income and Life Expectancy in the United States, 2001-2014 · JAMA · 2016 · 1,973 citations
- Multilevel analyses of neighbourhood socioeconomic context and health outcomes: a critical review: Table 1 · Journal of Epidemiology & Community Health · 2001 · 1,674 citations
- COVID-19 and African Americans · JAMA · 2020 · 1,651 citations
- Social Disconnectedness, Perceived Isolation, and Health among Older Adults · Journal of Health and Social Behavior · 2009 · 1,645 citations
- The Importance of the Normality Assumption in Large Public Health Data Sets · Annual Review of Public Health · 2002 · 1,421 citations
- Loneliness and Risk of Alzheimer Disease · Archives of General Psychiatry · 2007 · 1,108 citations
- The social determinants of mental health and disorder: evidence, prevention and recommendations · World Psychiatry · 2024 · 1,035 citations
- Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021 · The Lancet · 2024 · 894 citations
- Review of community prevalence of depression in later life · The British Journal of Psychiatry · 1999 · 834 citations
Most recent work
- Adapting and applying a group facilitator training model to support nature-based social interventions for alleviating loneliness in five countries · Educational Gerontology · 2026
- The Urban Stress Model: a framework for understanding the persistence of health disparities in cities · Cities & Health · 2026
- Predictive role of loneliness on 10-year all-cause mortality among mid-to later-life adults in the United States: findings from the Health and Retirement Study · General Hospital Psychiatry · 2026
- Association between intrinsic capacity and disability before death among older adults: a decedent cohort study · The Lancet Healthy Longevity · 2026
- Prostate cancer: The UK National Screening Committee is right to recommend against population screening · BMJ · 2026
- Exploring the Distinct Roles of Existential Loneliness, Existential Isolation, and General Loneliness in Depressive Symptoms Among Older Adults · Journal of Humanistic Psychology · 2026
- How Long Will I Live? Understanding Subjective Life Expectancy in Comparison to Actuarial Estimates · Sociological Focus · 2026
- The Moderating Effect of Aging Attitudes on the Cross-Lagged Relationship Between Depression and Loneliness: A RI-CLPM Study · Clinical Gerontologist · 2026
- Characterization of Late-Life Hoarding Symptomology Among Rural Adults · Clinical Gerontologist · 2026
- Influence of the Loneliness, and Time Spent Online, on the Health Status Among Community-Dwelling Older Adults in Chiang Mai, Thailand: A Cross-Sectional Study · Journal of Aging and Environment · 2026
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