Health Study Research Articles

Introducing Attribute Association Graphs to Facilitate Medical Data Exploration: Development and Evaluation Using Epidemiological Study Data.

Interpretability and intuitive visualization facilitate medical knowledge generation through big data. In addition, robustness to high-dimensional and missing data is a requirement for statistical approaches in the medical domain. A method tailored to the needs of physicians must meet all the abovementioned criteria. This study aims to develop an accessible tool for visual data exploration without the need for programming knowledge, adjusting complex parameterizations, or handling missing data. We sought to use statistical analysis using the setting of disease and control cohorts familiar to clinical researchers. We aimed to guide the user by identifying and highlighting data patterns associated with disease and reveal relations between attributes within the data set. We introduce the attribute association graph, a novel graph structure designed for visual data exploration using robust statistical metrics. The nodes capture frequencies of participant attributes in disease and control cohorts as well as deviations between groups. The edges represent conditional relations between attributes. The graph is visualized using the Neo4j (Neo4j, Inc) data platform and can be interactively explored without the need for technical knowledge. Nodes with high deviations between cohorts and edges of noticeable conditional relationship are highlighted to guide the user during the exploration. The graph is accompanied by a dashboard visualizing variable distributions. For evaluation, we applied the graph and dashboard to the Hamburg City Health Study data set, a large cohort study conducted in the city of Hamburg, Germany. All data structures can be accessed freely by researchers, physicians, and patients. In addition, we developed a user test conducted with physicians incorporating the System Usability Scale, individual questions, and user tasks. We evaluated the attribute association graph and dashboard through an exemplary data analysis of participants with a general cardiovascular disease in the Hamburg City Health Study data set. All results extracted from the graph structure and dashboard are in accordance with findings from the literature, except for unusually low cholesterol levels in participants with cardiovascular disease, which could be induced by medication. In addition, 95% CIs of Pearson correlation coefficients were calculated for all associations identified during the data analysis, confirming the results. In addition, a user test with 10 physicians assessing the usability of the proposed methods was conducted. A System Usability Scale score of 70.5% and average successful task completion of 81.4% were reported. The proposed attribute association graph and dashboard enable intuitive visual data exploration. They are robust to high-dimensional as well as missing data and require no parameterization. The usability for clinicians was confirmed via a user test, and the validity of the statistical results was confirmed by associations known from literature and standard statistical inference.

An exploratory study of the mental health and emotional challenges of women inside Ghanaian witches’ camps

An exploratory study of the mental health and emotional challenges of women inside Ghanaian witches’ camps

Assessing Normalized Difference Vegetation Index as a Proxy of Urban Greenspace Exposure

The Normalized Difference Vegetation Index (NDVI) is a popular proxy of urban greenspace (UGS). However, it’s unclear how NDVI approximates physical characteristics of UGS in the context of urban health studies, causing ambiguities in translating research findings to UGS management. Therefore, we collected data from Landsat and MODIS satellites and Lidar 3D scans in New York City as of circa 2013, and we evaluated linear and non-linear relationships between NDVI and UGS characteristics. We found that: (1) % UGS was the best predicted UGS characteristic by NDVI (R2: 0.35-0.90, varies by data source and unit of analysis), whereas average tree height was the worst (R2: 0.09-0.46). The predictive power on % canopy cover, tree density, and crown volume density was in a similar range (R2: 0.10-0.67).Prediction improved with finer-resolution NDVI sources and larger units of analysis at the cost of losing useful variations; (2) There was a saturation effect where a linear relationship underestimated UGS characteristics in areas of high NDVI. These areas typically had NAIP-NDVI greater than the range of 0.08-0.25, Landsat-NDVI greater than the range of 0.42-0.65, and MODIS-NDVI greater than the range of 0.49-0.75; (3) Smaller absolute errors from a linear NDVI-UGS relationship were often found in more developed locations. We therefore recommend NDVI as a reliable predictor of UGS coverage and its use in longitudinal studies. Future studies should also consider fineresolution land cover maps and Lidar, which are increasingly available to derivedetailed UGS characteristics.

A Comparative Study of Mental Health, Body Composition, and Physical Activity in American vs Romanian College Students After COVID-19 Lockdown

A Comparative Study of Mental Health, Body Composition, and Physical Activity in American vs Romanian College Students After COVID-19 Lockdown

A Comparison of Intimate Partner Violence Victimization and Perpetration, Adverse Childhood Experiences, and Mental Health Among Men in Same-Gender and Different-Gender Relationships

Intimate partner violence (IPV) is a serious social and public health problem in the United States. Adverse childhood experiences (ACEs) and poor mental health are associated with IPV. Sexual minority men (SMM) experience each of these disproportionately; however, limited studies have examined the interrelationships of these variables among SMM. Cross-sectional data from the first wave (September 1, 2020–April 25, 2021) of the National Couples’ Health and Time Study were used to assess the prevalence of physical, sexual, and psychological IPV victimization and perpetration and the association with ACEs and depression, anxiety, and stress among cisgender men in same-gender and different-gender relationships. Log-binomial regression was used to evaluate relationships, stratified by couples’ gender identity. In a sample of 1,681 men, including 689 sexual minority men, 40.6% reported IPV victimization and 33.1% reported IPV perpetration. Stratified by couples’ gender identity, victimization and perpetration were reported more frequently among men in different-gender relationships compared to men in same-gender relationships (40.7% vs. 33.9%; 33.2% vs. 30.2%). Psychological victimization and perpetration were the most commonly reported. Among men in same-gender relationships, depression symptoms had the highest association with IPV victimization (prevalence ratio [PR] = 2.14, 95% confidence interval [CI]: 1.56–2.95) and perpetration (PR = 1.72, 95% CI: 1.24–2.39). Research, clinical screenings, and other settings that focus on understanding and intervening on partner violence victimization and perpetration should intentionally consider the experiences of SMM in order to effectively promote healthy relationships and optimal mental health.

Place of Birth and Cognitive Function Among Older Americans: Findings from the Harmonized Cognitive Assessment Protocol.

Growing evidence suggests that place of birth (PoB) and related circumstances may have long-lasting and multiplicative contributions to various later-life outcomes. However, the specific contributions to different domains of cognitive function in late life remain less understood. This study investigated the extent to which state of birth contributes to a wide range of domains of later-life cognitive function. A nationally representative sample of Americans aged 65 and older (N=3,333) from the Health and Retirement Study (HRS) Harmonized Cognitive Assessment Protocol (HCAP) was utilized. Cognitive function was assessed in HCAP and linked to HRS state of birth data to explore the contribution of PoB to later-life cognitive disparities. Regression-based Shapley decompositions were employed to quantify this contribution. PoB significantly contributed to all assessed cognitive domains including memory, executive function, language and fluency, visuospatial function, orientation, and general cognitive function. Geographic disparities in cognitive function were evident across PoB, with individuals born in US southern states and foreign-born individuals performing worse than those born in other states. Overall, state of birth accounted for 2.2-9.7% of the total variance in cognition after adjusting for age, sex, and race/ethnicity. This contribution declined to 2.0-7.0% after further adjusting for comprehensive socioeconomic and health factors over the life course, and were robust to the control of current state of residence. PoB has lasting contributions to later-life cognition, with significant geographic disparities observed. Addressing these disparities requires more equalized place-based policies, resources, and early-life environments to promote health equity over the life course.

Relationship between triglyceride-glucose index and cognitive function among community-dwelling older adults: a population-based cohort study

BackgroundThe global increase in the aging population presents considerable challenges, particularly regarding cognitive impairment, a major concern for public health. This study investigates the association between the triglyceride-glucose (TyG) index, a measure of insulin resistance, and the risk of cognitive impairment in the elderly.MethodsThis prospective cohort study enrolled 2,959 participants aged 65 and above from the 2015 and 2020 waves of the China Health and Retirement Longitudinal Study (CHARLS). The analysis employed a logistic regression model to assess the correlation between the TyG index and cognitive impairment.ResultsThe study included 2,959 participants, with a mean age of 71.2 ± 5.4 years, 49.8% of whom were female. The follow-up in 2020 showed a decrease in average cognitive function scores from 8.63 ± 4.61 in 2015 to 6.86 ± 5.45. After adjusting for confounding factors, a significant association was observed between TyG index quartiles and cognitive impairment. Participants in the highest quartile (Q4) of baseline TyG had a higher risk of cognitive impairment compared to those in the lowest quartile (Q1) (odds ratio [OR]: 1.97, 95% confidence intervals [CI]: 1.28–2.62, P<0.001).ConclusionThe study highlights a significant connection between elevated TyG index levels and cognitive impairment among older adults in China. These findings suggest that targeted interventions to reduce the TyG index could mitigate cognitive impairment and potentially lower the incidence of dementia.

Introduction to the Costs of Alzheimer's Disease and Related Dementias.

This special issue is the result of the Michigan Center for Contextual Factors in Alzheimer's Disease (MCCFAD) third Summer Data Immersion (SDI) program held on May 23-26, 2022. Thirty-seven researchers from 17 universities participated in the program, which emphasized racial/ethnic and other contextual factors in the study of Alzheimer's disease and related dementias (ADRD) costs using a team science approach. During the program, data from the Health and Retirement Study were used to investigate multiple topics related to both financial and non-financial costs of ADRD including: (1) life course socioeconomic factors, (2) costs of preclinical ADRD, (3) COVID-19, (4) family members' employment outcomes, (5) geographic contexts, (6) monetary value of unpaid ADRD care, and (7) spousal relations for couples living with ADRD.

Maternal child maltreatment and trajectories of offspring behavioural and emotional difficulties from age 4 to 7 years - results from a prospective birth cohort study.

Maternal experience of child maltreatment (CM) has been associated with maternal and child mental health. However, evidence about the course of child mental health and maternal CM is scarce. Therefore, this study aims to compare trajectories of mental health in children according to maternal CM exposure and maternal mental health. We included 327 mothers and their singleton child from the Ulm SPATZ Health Study, a prospective birth cohort study. Child mental health was determined by the Strength and Difficulties Questionnaire (SDQ) at the age of 4, 5, 6, and 7 years and maternal CM by the Childhood Trauma Questionnaire (CTQ). Results display that maternal CM is associated with more behavioural and emotional difficulties in children, a trend that tends to increase with older child age. The sum of maternal mental health problems across this time course mediates this association. Male child sex is associated with more mental health problems in the child and the mother. These results provide an important first insight into the relevance of maternal CM on the trajectories of mental health in the offspring and highlight the importance of chronicity and severity of maternal mental health. Further prospective research in cohorts with longer follow-ups up into adolescence and adulthood is needed.

Quantitative and Qualitative Research in the Field of 'Spirituality and Health': An Introductory How-to-Guide from a Brazilian Perspective.

The present article aims to describe the different steps on how to design, develop and conduct quantitative and qualitative Spirituality and Health (S/H) studies from a Brazilian perspective, discussing definitions and instruments, and proposing a "how-to guide" for those interested in this field of research. A narrative review of the literature has been conducted by experts in the field of S/H aiming to develop a "how-to-guide". Spirituality is a very complex concept that has several challenges in the current scientific literature, including the lack of consensus in the definitions, the numerous dimensions assessed, the diverse instruments for measurement, the criticisms from other scholars, the great diversity of religious and cultural traditions and the growing number of "spiritual but not religious" individuals. This review supports that S/H studies may follow the high scientific standards, using consolidated research procedures and solid methods for both qualitative and quantitative research. Some peculiarities of the research methods for this field are discussed. S/H research is still under development, and there are several future directions for S/H studies, aiming to minimize previous criticisms and generating stronger evidence.

Social Network Size and Severe Tooth Loss among Persons With Diabetes: Findings From the Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

Aims: The aims of this study were to examine the association of social network size with severe tooth loss and the number of missing teeth among Hispanic adults with diabetes in the United States and to assess whether the association varied by glycemic control. Methods: Data obtained from 1,007 adults who participated in the Hispanic Community Health Study were analyzed. Structural social support was measured with the Social Network Index (SNI), which assessed network size and frequency of social contacts. Tooth loss was measured by a count of the number of missing teeth and categorically as severe tooth loss (<9 remaining teeth). Descriptive statistical analyses were conducted to examine the sample characteristics. Logistic and negative binomial regression analyses were performed to examine the independent association between SNI and tooth loss and to test whether the association was modified by the glycemic target. Results: The prevalence of severe tooth loss was 5.91%. For each one-unit increase in SNI, the expected log count of the number of missing teeth was reduced by 3.3% (p-value: 0.037). Conclusions: In this study, a larger social network size was associated with fewer missing teeth among Hispanic persons living with diabetes. Further examination of social support and oral health is warranted.

Estimated Pulse Wave Velocity is Associated with a Higher Risk of Dementia in the Health and Retirement Study.

In this paper, we use the Health and Retirement Study (HRS) to examine the relationship between an estimated measure of pulse wave velocity (ePWV) and cognitive impairment with no dementia and dementia, respectively. We modeled the relationship between ePWV and cognitive status in 2006/2008 using data from 8,492 men and women (mean age 68.6 years) controlling for age, blood pressure, sociodemographic and socioeconomic characteristics (sex, race and ethnicity, education, income, wealth), health behaviors (smoking and physical activity), body mass index (BMI), health status and related medication use (history of cardiovascular disease, diabetes, and stroke), and cerebrovascular disease (CVD)-related biomarkers (C-reactive protein, cystatin-C, hemoglobin A1c, total cholesterol, high-density lipoprotein [HDL] cholesterol). We assess cognitive function with the 27-item Langa-Weir Telephone Interview for Cognitive Status (TICS) scale. ePWV is derived from an equation based on participant age and resting blood pressure. In a model that controlled for the constituent components of ePWV (age, age squared, systolic and diastolic blood pressure), ePWV is associated with increased odds of having cognitive impairment with no dementia (OR=2.761) and dementia (OR=6.344) relative to a group with no cognitive impairment or dementia. After controlling for the constituent components of ePWV, sociodemographic and socioeconomic characteristics, health status and medication use, health behaviors, BMI, and CVD-related biomarkers, ePWV remains significantly associated with dementia (OR=3.969) but not cognitive impairment with no dementia (OR=1.782). These findings suggest that ePWV may be a novel research tool and biomarker of vascular aging that can be used in large, population-representative studies to examine cognitive aging and dementia risk.

Psychosocial Well-Being Differences Between the Young Old, Old-Old, and Oldest Old: A Global Comparison.

We investigate global differences in psychosocial well-being between older adult age groups. Using multinomial logistic regression, we analyzed 2018 data (n = 93,663) from 9 countries/regions in the Health and Retirement Study international family of studies to compare age group differences in depression, loneliness, and happiness. Compared to the young old, the old-old reported more depression in Southern Europe, while the oldest old had higher risk in India and Southern Europe but lower risk in the United States. The old-old reported less loneliness in the United States but more in Southern Europe, while the oldest old had greater risk in Southern Europe. The old-old reported less happiness in Korea, while the oldest old had lower reports in Korea but higher reports in the United States. The psychosocial well-being of the oldest old is exceptionally good in the United States but exceptionally poor in Southern Europe.

Choice of smoking cessation products among people with substance use problems in the US: Findings from the Population Assessment of Tobacco and Health (PATH) study Wave 6

ObjectiveThe aim of this study was to compare past 12-month use of cigarette smoking cessation aids (e.g., Food and Drug Administration (FDA)-approved cessation products or e-cigarettes for smoking cessation) among people with substance use problems (PWSUPs) who currently smoke to people without substance use problems (SUPs) who currently smoke cigarettes in a nationally representative US sample. MethodsWe used the Population Assessment of Tobacco and Health (PATH) Wave 6 Study [n = 30,516]. Our sample comprised adult (18+) established cigarette smokers (100+ lifetime-sticks with daily/non-daily use) [n = 5,895]. The independent variable was SUP status (no, moderate, and high). The dependent variables were past-year use of: nicotine replacement therapies (NRTs), cessation medications [i.e., varenicline or bupropion], or e-cigarettes [for cigarette cessation and reduction]. Weighted multivariable logistic regression models for each dependent variable examined the associations between SUP status and each cessation aid, adjusting for cigarette dependence, daily cigarette smoking, and demographic factors. ResultsAmong people who smoke, a higher proportion of respondents with high SUP severity used NRTs, cessation medications, and e-cigarettes for cigarette cessation, respectively (12.3%, 8.4%, 15.7%), compared to those with no/low SUP severity (9.8%, 6.0%, 8.9%). In the multivariable models, respondents with high SUPs had 63% (95% CI:1.16–2.29) higher odds of using e-cigarettes for cessation than those without SUPs. No significant differences were seen between high (vs. no/low SUPs) in the past-year use of NRTs and cessation medications. ConclusionOur findings indicate that cigarette smokers with high SUPs had higher odds of using e-cigarettes for cessation and reduction compared to smokers without SUPs.

Mediation of depressive symptoms in the association between blood urea nitrogen to creatinine ratio and cognition among middle-aged and elderly adults: evidence from a national longitudinal cohort study

BackgroundThe relationships between BUNCr (blood urea nitrogen and creatinine ratio) and cognitive function, as well as depressive symptoms, remain unclear. We aim to investigate the association between BUNCr and cognition, as well as depressive symptoms, and to identify the mechanisms underlying these relationships.MethodsWe utilized data from the China Health and Retirement Longitudinal Study (CHARLS) from 2015 to 2020. Cognitive function was assessed using the Telephone Interview of Cognitive Status (TICS) scale, while depressive symptoms were assessed using the 10-item Center for Epidemiologic Studies Depression Scale (CES-D-10). We employed multivariate linear regression models to examine the association between BUNCr and cognitive function, as well as depressive symptoms. Additionally, causal mediation analysis was conducted to identify potential mediation effects of depressive symptoms between BUNCr and cognition.ResultsWe observed a negative association between BUNCr and cognitive function (coefficient: -0.192; 95% confidence interval [CI]: -0.326 ∼ -0.059) and a positive relationship between BUNCr and depressive symptoms (coefficient: 0.145; 95% CI: 0.006 ∼ 0.285). In addition, the causal mediation analysis revealed that depressive symptoms (proportion mediated: 7.0%) significantly mediated the association between BUNCr and cognition.ConclusionOur study has unveiled that BUNCr is inversely associated with cognitive function and positively linked to depressive symptoms. Moreover, we found that depressive symptoms significantly mediated the association between BUNCr and cognition. These findings provide new evidence and insights for the prevention and management of cognitive function and dementia.

Intergenerational educational mobility and cognitive trajectories among middle-aged and older Chinese people: An application of growth mixture and mobility contrast models in longitudinal analysis.

Due to statistical challenges in disentangling the mobility effect (i.e., intergenerational educational mobility) from the position effect (i.e., parental and person's own education), the impact of intergenerational educational mobility on cognitive function remains unclear. We employed a novel approach to identify the mobility effect and investigate the net impact of intergenerational educational mobility on heterogeneous patterns of cognition among middle-aged and older adults in China. Participants aged 45 and older were recruited from the China Health and Retirement Longitudinal Study, a population-based prospective cohort study between 2011 and 2018. We identified cognitive trajectories using the growth mixture model (GMM) and subsequently employed the mobility contrast model (MCM) to examine the effects of intergenerational educational mobility on cognitive patterns stratified by gender. Almost two-thirds of respondents experienced intergenerational educational mobility, and 55% experienced upward mobility. Men had a higher rate of upward mobility than women. Three population-based cognitive patterns were identified: the low cognitive function with decline group (28%), the moderate cognitive function group (47%), and the high cognitive function group (26%). MCM analysis revealed that both upward and downward intergenerational educational mobility negatively impacted cognitive trajectory patterns, extending beyond the influence of individuals' current and parental education. In future research, the impact of mobility can be studied in longitudinal datasets by combining the GMM and MCM approaches. The net negative effect of intergenerational educational mobility on cognitive trajectory patterns indicates that it should be recognized as an independent predictor of cognitive decline.

Identifying Weekly Trajectories of Pain Severity Using Daily Data From an mHealth Study: Cluster Analysis.

People with chronic pain experience variability in their trajectories of pain severity. Previous studies have explored pain trajectories by clustering sparse data; however, to understand daily pain variability, there is a need to identify clusters of weekly trajectories using daily pain data. Between-week variability can be explored by quantifying the week-to-week movement between these clusters. We propose that future work can use clusters of pain severity in a forecasting model for short-term (eg, daily fluctuations) and longer-term (eg, weekly patterns) variability. Specifically, future work can use clusters of weekly trajectories to predict between-cluster movement and within-cluster variability in pain severity. This study aims to understand clusters of common weekly patterns as a first stage in developing a pain-forecasting model. Data from a population-based mobile health study were used to compile weekly pain trajectories (n=21,919) that were then clustered using a k-medoids algorithm. Sensitivity analyses tested the impact of assumptions related to the ordinal and longitudinal structure of the data. The characteristics of people within clusters were examined, and a transition analysis was conducted to understand the movement of people between consecutive weekly clusters. Four clusters were identified representing trajectories of no or low pain (1714/21,919, 7.82%), mild pain (8246/21,919, 37.62%), moderate pain (8376/21,919, 38.21%), and severe pain (3583/21,919, 16.35%). Sensitivity analyses confirmed the 4-cluster solution, and the resulting clusters were similar to those in the main analysis, with at least 85% of the trajectories belonging to the same cluster as in the main analysis. Male participants spent longer (participant mean 7.9, 95% bootstrap CI 6%-9.9%) in the no or low pain cluster than female participants (participant mean 6.5, 95% bootstrap CI 5.7%-7.3%). Younger people (aged 17-24 y) spent longer (participant mean 28.3, 95% bootstrap CI 19.3%-38.5%) in the severe pain cluster than older people (aged 65-86 y; participant mean 9.8, 95% bootstrap CI 7.7%-12.3%). People with fibromyalgia (participant mean 31.5, 95% bootstrap CI 28.5%-34.4%) and neuropathic pain (participant mean 31.1, 95% bootstrap CI 27.3%-34.9%) spent longer in the severe pain cluster than those with other conditions, and people with rheumatoid arthritis spent longer (participant mean 7.8, 95% bootstrap CI 6.1%-9.6%) in the no or low pain cluster than those with other conditions. There were 12,267 pairs of consecutive weeks that contributed to the transition analysis. The empirical percentage remaining in the same cluster across consecutive weeks was 65.96% (8091/12,267). When movement between clusters occurred, the highest percentage of movement was to an adjacent cluster. The clusters of pain severity identified in this study provide a parsimonious description of the weekly experiences of people with chronic pain. These clusters could be used for future study of between-cluster movement and within-cluster variability to develop accurate and stakeholder-informed pain-forecasting tools.

All-cause and cause-specific mortality risk and loss in life expectancy associated with incident type 2 diabetes onset age and duration.

Evidence on type 2 diabetes onset age and duration on mortality risk has been limited by short follow-up, inadequate control for confounding, missing repeated measurements, and inability to cover the full range of onset age, duration, and major causes of death. Moreover, scarce data dissect how type 2 diabetes onset age and duration shape life expectancy. We evaluate prospectively these topics based on 270,075 eligible participants in the Nurses' Health Studies and Health Professionals Follow-up Study, leveraging repeated measurements throughout up to 40 years of follow-up. Cox models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). In fully adjusted analyses, incident early onset type 2 diabetes (diagnosed <40 years of age) was associated with significantly higher mortality from all-causes (HR, 95% CI was 3.16, 2.64-3.79; vs. individuals without type 2 diabetes), cardiovascular disease (6.56, 4.27-10.1), respiratory disease (3.43, 1.38-8.51), neurodegenerative disease (5.13, 2.09-12.6), and kidney disease (8.55, 1.98-36.9). The relative risk elevations declined dramatically with each higher decade of age at diagnosis for deaths from most of these causes, though the absolute risk difference increased continuously. A substantially higher cumulative incidence of mortality and a greater loss in life expectancy were associated with younger age at type 2 diabetes diagnosis. Longer disease duration was associated with generally higher relative and absolute risk of mortality. Early onset of type 2 diabetes and longer disease duration are associated with substantially increased risk of all-cause and cause-specific mortality and greater loss in life expectancy.

Generations of epigenetic clocks and their links to socioeconomic status in the Health and Retirement Study.

Aim: This is a brief description of links between nine epigenetic clocks related to human aging and socioeconomic and behavioral characteristics as well as health outcomes. Materials& methods: We estimate frequently used and novel clocks from one data source, the Health and Retirement Study. Results: While all of these clocks are thought to reflect "aging," they use different CpG sites and do not strongly relate to each other. First and fourth generation clocks are not as linked to socioeconomic status or health outcomes as second and third generation clocks. Conclusion: Epigenetic clocks reflect exciting new tools and their continued evolution is likely to improve our understanding of how exposures get under the skin to accelerate aging.

Application of high-dimensional propensity score methods to the National Health and Aging Trends Study.

High-dimensional propensity scoring (HDPS) is a method for empirically identifying potential confounders within large healthcare databases such as administrative claims data. However, this method has not yet been applied to large national health surveys such as the National Health and Aging Trends Study (NHATS), an ongoing nationally representative survey of older adults in the U.S and important resource in gerontology research. In this Research Practice article, we present an overview of HDPS and describe the specific data transformation steps and analytic considerations needed to apply it to national health surveys. We applied HDPS within NHATS to investigate the association between self-reported visual difficulty and incident dementia, comparing HDPS to conventional confounder selection methods. Among 7,207 dementia-free NHATS wave 1 respondents, 528 (7.3%) had self-reported visual difficulty. In an unadjusted discrete time proportional hazards model accounting for the complex survey design of NHATS, self-reported visual difficulty was strongly associated with incident dementia (OR 2.34, 95% CI: 1.95-2.81). After adjustment for standard investigator-selected covariates via inverse probability weighting, the magnitude of this association decreased, but evidence of an association remained (OR 1.44, 95% CI: 1.11-1.85). Adding 75 HDPS-prioritized variables to the investigator-selected propensity score model resulted in further attenuation of the association between visual impairment and dementia (OR 0.94, 95% CI: 0.70-1.23). HDPS can be successfully applied to national health surveys such as NHATS and may improve confounder adjustment. We hope developing this framework will encourage future consideration of HDPS in this setting.