Food insecurity, inflammation, and immune function among older US adults: Findings from the health and Retirement study.

BACKGROUND: Food insecurity (FI) is a pressing public health concern among older adults and has been associated with adverse cardiovascular outcomes. Greater systemic inflammation may provide a pathway to explain these associations, but few studies have examined the link between FI and markers of inflammation. Thus, the objective of the present study was to evaluate the associations between FI and multiple inflammatory and immune functioning biomarkers using a nationally representative study of US adults aged > 50 years. METHOD: Participants (n = 3,924) were drawn from the longitudinal Health and Retirement Study (HRS). Household FI was assessed using the six-item Short Form Food Security Survey Module from the 2013 HRS Health Care and Nutrition Study. Markers of inflammation (neutrophil-lymphocyte ratio, albumin, hs-CRP, IL6, IL10, IL-1Ra, sTNFR-1, and TGFß-1) and immune functioning (CMV) were collected during the 2016 HRS Venous Blood Study. Multivariate logistic and linear regression models were used to evaluate associations between household FI and inflammatory and immune functioning biomarkers, adjusting for individual and household sociodemographic characteristics. RESULTS: The weighted prevalence of FI was 18.8 %. Age and sex-adjusted mean showed that FI was associated with higher levels of inflammation and impaired immune functioning (Ps-value < 0.05). Older adults with FI had higher mean levels of albumin, hs-CRP, IL6, IL10, IL-1Ra, TGFß-1, and CMV seronegative and borderline (Ps-value < 0.05). Multivariate-adjusted regression model showed that FI was associated with high-risk categories of hs-CRP (OR 1.34, 95 % CI 1.06, 1.68), IL-6 (OR 1.66, 95 % CI 1.28, 2.14), IL-1Ra (OR 0.67, 95 % CI 0.48, 0.93), TGFß-1 (OR 1.87, 95 % CI 1.45, 2.42), seronegativity for CMV (OR 0.48, 95 % CI 0.35, 0.64). CONCLUSION: In this nationally representative sample of older adults, FI was positively associated with multiple markers of systemic inflammation and impaired immune functioning. Public health efforts that directly work to reduce FI among older adults are warranted and may result in further improvements in their health and well-being.

Simultaneous variable selection and estimation in semiparametric regression of mixed panel count data.

Mixed panel count data represent a common complex data structure in longitudinal survey studies. A major challenge in analyzing such data is variable selection and estimation while efficiently incorporating both the panel count and panel binary data components. Analyses in the medical literature have often ignored the panel binary component and treated it as missing with the unknown panel counts, while obviously such a simplification does not effectively utilize the original data information. In this research, we put forward a penalized likelihood variable selection and estimation procedure under the proportional mean model. A computationally efficient EM algorithm is developed that ensures sparse estimation for variable selection, and the resulting estimator is shown to have the desirable oracle property. Simulation studies assessed and confirmed the good finite-sample properties of the proposed method, and the method is applied to analyze a motivating dataset from the Health and Retirement Study.

Ultra-processed foods consumption among a USA representative sample of middle-older adults: a cross-sectional analysis.

The study evaluated the association between ultra-processed foods (UPF) and nutrient intake and identified the socio-demographic characteristics associated with UPF consumption among a nationally representative sample of middle-older adults. Dietary assessment was collected in 2013 using a validated FFQ. The Nova system was used to classify food and drinks into UPF. The percentage of dietary energy from UPF was calculated and used throughout the analyses, and average nutrient intake across quintiles of UPF was evaluated. The determinants associated with the dietary caloric contribution of UPF intake were investigated using linear regression models. A cross-sectional analysis of a nationally representative study of Americans over the age of 50, the Health and Retirement Study, was conducted. The analysis included 6220 participants. The mean age was 65 (se 0·28) years, with 55 % being female. UPF intake accounted for 51 % (se 0·25) of total intake. An increase in the percentage of (%UPF) consumption was correlated with an increase in calories, carbohydrates, saturated fat and sugar, and a decrease in fibre, vitamins and minerals. %UPF intake was inversely associated with being Hispanic, higher income, physical activity, vegetarian diet and Mediterranean diet but positively associated with very low food insecurity. UPF represented half of the calories consumed. A higher %UPF intake was associated with a lower nutrient profile, suggesting decreasing %UPF intake as a strategy to improve the nutritional quality of middle-older adults. A few socio-demographic factors were associated with %UPF, which would help in planning strategies to reduce UPF consumption.

An exploration of neighborhood characteristics, psychosocial resilience resources, and cognitive functioning among midlife and older black adults.

OBJECTIVES: While existing research has shown that Black adults have worse cognitive functioning than their White counterparts, the psychosocial correlates of cognitive functioning for Black older adults are understudied. The objective of this study was to investigate the relationships among perceived neighborhood characteristics, psychosocial resilience resources, and cognitive functioning among midlife and older Black adults. METHODS: Data were from 3,191 Black adults ages 51+ in the 2008-2016 waves of the Health and Retirement Study to examine associations among neighborhood characteristics, psychosocial resilience (sense of purpose, mastery, and social support), and cognitive functioning among Black adults. Multilevel linear regression models assessed direct effects of neighborhood characteristics and psychosocial resources on cognitive functioning. We then tested whether psychosocial resources moderated the association between neighborhood characteristics and cognitive functioning. RESULTS: Mean levels of cognitive functioning, sense of purpose, social support, and mastery were significantly related to neighborhood disorder and discohesion. Regression results showed that levels of neighborhood disorder and high discohesion were significantly associated with cognitive functioning. Sense of purpose was positively associated with cognitive functioning, net of neighborhood characteristics. However, only social support moderated the association between neighborhood discohesion and cognition. CONCLUSIONS: These findings demonstrate the importance of examining psychosocial and contextual risk and resilience resources among midlife and older Black adults. This work may inform the development of cognitive behavioral interventions aimed at increasing sense of purpose to promote and enhance cognitive resiliency among Black adults. Altogether, this work may have implications for policy aimed at advancing cognitive health equity.

Procrastination, depressive symptomatology, and loneliness in later life.

OBJECTIVES: Procrastination is an almost universal behaviour and yet little research to date has focused on procrastination among older adults. The purpose of this study was to explore the potential association between age and procrastination, and the potential mediating roles of depressive symptomatology and loneliness. METHOD: Structural equation modelling was applied to data from 1309 participants (aged 29-92) from two waves United States Health and Retirement Study (2016-2020). Within the model, sex, education, marital status, and job status were added as covariates. RESULTS: There was no statistically significant direct effect between age and procrastination (ß = 0.06, p = 0.106). However, an indirect effect was present via depressive symptomatology (ß = -0.40, p < 0.001). No mediating effect of loneliness was observed (ß = - 0.01, p = 0.371). Subsequent analysis revealed that the symptoms, fatigue, loneliness, and lack of motivation significantly predicted procrastination. CONCLUSION: While age was not directly associated with procrastination, increasing age was associated with a decreased likelihood of depressive symptomatology, which was in turn associated with an increased likelihood of procrastination. Such findings indicates that age demonstrates no association with procrastination because of the suppressing effect of depressive symptomatology.

The association between religious beliefs and values with inflammation among Middle-age and older adults.

Objectives: Dimensions of religion and spirituality are associated with better emotional, physical, and cognitive health. However, the underlying physiological mechanisms are not well known. We investigated the relationship between dimensions of religion and spirituality with levels of C-reactive protein (CRP), a biomarker of systematic inflammation, in middle-aged and older adults in the United States.Methods: In this descriptive longitudinal study using secondary data, we used proportional odds models of the generalized estimating equation (GEE) to assess the association between religious beliefs and values and religious service attendance with CRP levels from respondents (n = 2,385) aged 50 years and older in the Health and Retirement Study from 2006 to 2014.Results: Middle-aged to older adults who reported higher religious beliefs and values had lower levels of CRP, controlling for age, sex, education, marital status, race, household income, and health, such as hypertension, diabetes, cancer, and body mass index (BMI).Conclusion: Religious beliefs and values are associated with lower CRP levels among middle-aged and older adults in the U.S. This study adds to the understanding of biological processes underlying the relationship between dimensions of religion and spirituality with better cognitive and physical health, potentially through inflammation.

The dynamic and reciprocal relationship between perceived everyday discrimination and cognitive function in later life.

OBJECTIVES: This study, based on socioemotional selectivity theory and cognitive theory, investigates the dynamic and reciprocal relationship between perceived discrimination and cognitive function in later life. METHODS: Data were drawn from four waves of the Health and Retirement Study (HRS 2006, 2010, 2014, and 2018). A total of 4,125 people who were 51 and older were included. Cognitive function was measured by the telephone interview for cognitive status (TICS-27). Perceived discrimination was measured using scores of the perceived everyday discrimination scale. Random intercept cross-lagged panel model (RI-CLPM) was utilized. The model was adjusted for a range of covariates. Subgroup analysis by ethnoracial groups was conducted. RESULTS: Cross-sectionally, while lower cognitive function was associated with higher perceived discrimination, this relationship was unidirectional. Longitudinally, higher perceived discrimination predicted lower cognitive function in later waves only among non-Hispanic White individuals. CONCLUSION: Results suggested that a decline in cognitive function may precede and contribute to the worsening of perceived discrimination, which may result in further decline in cognitive function. Lifetime experience of discrimination was discussed as a possible source of the racial/ethnic variations in the relationship. Further study is needed to examine whether this relationship holds among people with cognitive impairment and dementia.

An outcome-wide analysis of the effects of diagnostic labeling of Alzheimer's disease and related dementias on social relationships.

INTRODUCTION: This study examines how receiving a dementia diagnosis influences social relationships by race and ethnicity. METHODS: Using data from the Health and Retirement Study (10 waves; 7,159 observations) of adults 70 years and older predicted to have dementia using Gianattasio-Power scores (91% accuracy), this study assessed changes in social support, engagement, and networks after a dementia diagnosis. We utilized quasi-experimental methods to estimate treatment effects and subgroup analyses by race/ethnicity. RESULTS: A diagnostic label significantly increased the likelihood of gaining social support but reduced social engagement and one measure of social networks. With some exceptions, the results were similar by race and ethnicity. DISCUSSION: Results suggest that among older adults with assumed dementia, being diagnosed by a doctor may influence social relationships in both support-seeking and socially withdrawn ways. This suggests that discussing services and supports at the time of diagnosis is important for healthcare professionals.

Comparison of Imputation Strategies for Incomplete Longitudinal Data in Life-Course Epidemiology.

Incomplete longitudinal data are common in life-course epidemiology and may induce bias leading to incorrect inference. Multiple imputation (MI) is increasingly preferred for handling missing data, but few studies explore MI-method performance and feasibility in real-data settings. We compared 3 MI methods using real data under 9 missing-data scenarios, representing combinations of 10%, 20%, and 30% missingness and missing completely at random, at random, and not at random. Using data from Health and Retirement Study (HRS) participants, we introduced record-level missingness to a sample of participants with complete data on depressive symptoms (1998-2008), mortality (2008-2018), and relevant covariates. We then imputed missing data using 3 MI methods (normal linear regression, predictive mean matching, variable-tailored specification), and fitted Cox proportional hazards models to estimate effects of 4 operationalizations of longitudinal depressive symptoms on mortality. We compared bias in hazard ratios, root mean square error, and computation time for each method. Bias was similar across MI methods, and results were consistent across operationalizations of the longitudinal exposure variable. However, our results suggest that predictive mean matching may be an appealing strategy for imputing life-course exposure data, given consistently low root mean square error, competitive computation times, and few implementation challenges.

How to construct a frailty index from an existing dataset in 10 steps.

BACKGROUND: The frailty index is commonly used in research and clinical practice to quantify health. Using a health deficit accumulation model, a frailty index can be calculated retrospectively from data collected via survey, interview, performance test, laboratory report, clinical or administrative medical record, or any combination of these. Here, we offer a detailed 10-step approach to frailty index creation, with a worked example. METHODS: We identified 10 steps to guide the creation of a valid and reliable frailty index. We then used data from waves 5 to 12 of the Health and Retirement Study (HRS) to illustrate the steps. RESULTS: The 10 steps are as follows: (1) select every variable that measures a health problem; (2) exclude variables with more than 5% missing values; (3) recode the responses to 0 (no deficit) through 1 (deficit); (4) exclude variables when coded deficits are too rare (< 1%) or too common (> 80%); (5) screen the variables for association with age; (6) screen the variables for correlation with each other; (7) count the variables retained; (8) calculate the frailty index scores; (9) test the characteristics of the frailty index; (10) use the frailty index in analyses. In our worked example, we created a 61-item frailty index following these 10 steps. CONCLUSIONS: This 10-step procedure can be used as a template to create one continuous health variable. The resulting high-information variable is suitable for use as an exposure, predictor or control variable, or an outcome measure of overall health and ageing.

Trajectories of self-reported hearing and their associations with cognition: evidence from the United Kingdom and United States of America.

OBJECTIVE: This study aimed to investigate the relationships between trajectories of change in self-reported hearing over eight years with subsequent effects on cognition, measured using episodic memory. METHODS: Data were drawn from 5 waves (2008-2016) of the English Longitudinal Study of England (ELSA) and the Health and Retirement Study (HRS), involving 4,875 individuals aged 50+ at the baseline in ELSA and 6,365 in HRS. The latent growth curve modelling was used to identify trajectories of hearing over eight years, and linear regression models were performed to investigate the relationship between hearing trajectory memberships and episodic memory scores, controlling for confounding factors. RESULTS: Five trajectories of hearing (stable very good, stable fair, poor to fair/good, good to fair, and very good to good) were retained in each study. Individuals whose hearing remains suboptimal and those whose hearing deteriorates within suboptimal levels throughout eight years have significantly poorer episodic memory scores at follow-up than those with stable very good hearing. Conversely, individuals whose hearing declines but is within an optimal category at baseline do not see significantly poorer episodic memory scores than those with consistently optimal hearing. There was no significant relationship between individuals whose hearing improved from suboptimal baseline levels to optimal by follow-up and memory in ELSA. However, analysis using HRS data shows a significant improvement for this trajectory group (-1.260, P < 0.001). CONCLUSIONS: Either stable fair or deterioration in hearing is associated with worse cognitive function, both stable good or improving hearing is associated with better cognitive function specifically episodic memory.

Long-term psychological consequences of parental bereavement prior to midlife: volunteering helps.

OBJECTIVES: Losing a child prior to midlife may be a uniquely traumatic event that continues to compromise parents' well-being in later life. This study compared psychological well-being between bereaved and non-bereaved parents, and examined whether volunteering protects bereaved parents. Because most families have more than one child, we further explored whether the number of living children parents had differentiated bereaved parents in their well-being. METHODS: We analyzed a pooled sample of parents aged 50+ (N = 12,023) from the Health and Retirement Study (2010/2012-2012/2014), including parents who lost a child prior to 50 and those who never lost a child. Two-level linear regression models were estimated to test the associations between child loss, volunteering, and psychological well-being, and examine the moderating effect of number of living children. RESULTS: Bereaved parents reported more depressive symptoms and lower life satisfaction than their non-bereaved counterparts, which was more evident among parents with fewer children alive. Among bereaved parents, volunteering, particularly volunteering 100+ hours/year, was associated with better psychological well-being at baseline; yet, volunteering 1-99 hours/year led to a larger increase in life satisfaction over time. The benefits of volunteering held true regardless of the number of living children. CONCLUSION: This study adds to our understanding of the lasting effect of parental bereavement and suggests volunteering as a potential intervention aimed at helping bereaved older parents. Findings identify parents with fewer children as a particularly vulnerable population in the face of child loss and calls for more resources allocated to help them.

Incident edentulism and number of comorbidities among middle-aged and older Americans.

BACKGROUNDS: Certain chronic non-communicable diseases have been associated with the loss of all natural permanent teeth, referred to as edentulism. It has been suggested that edentulism, a chronic dental state, involving the loss of all teeth and poorer masticatory efficiency, could be associated with multiple chronic conditions as people age. In this study, we describe the association between the number of comorbidities and incident edentulism in a representative sample of older Americans. METHODS: We took data from the Health and Retirement Study (HRS). Dentate participants aged 50 or older at the baseline of 2006 (N = 13 221) and 2012 (N = 13 938) were linked to their dentate and survival status at the follow-up interviews in 2012 and 2018, respectively. The association between the number of comorbidities and incident edentulism was investigated by using multinomial logistic regression models. RESULTS: Over the two observation periods, the number of selected chronic conditions was predictive of edentulism 6 years later. A 10% higher chance of becoming edentulous by 2012 (OR = 1.10, 95% CI = 1.01, 1.20) was found for every additional comorbid condition to those who remained dentate in 2012. A similar association was identified for the 2012-2018 period. CONCLUSION: Among older adults, the number of comorbidities was predictive of incident edentulism, and the same association pattern was found across two longitudinal study periods. Older adults with an increase in the number of comorbidities may experience a higher chance of tooth loss later in time.

Medicaid Utilization among Middle-age and Older Adults: A Health and Retirement Study Longitudinal Analysis (1998 to 2014).

With over fifteen million older adults in the United States relying on the means-tested Medicaid program for healthcare coverage, there has been concern over rising Medicaid costs among this rapidly growing age group. Few studies have longitudinally examined trends among older beneficiaries over time to identify factors related to Medicaid utilization and to better understand how potential coverage changes might impact this group. This study used the 1998 to 2014 waves of the Health and Retirement Study (N = 8,162) to analyze a representative sample of those aged 50 and older to ascertain demographic, health, and economic factors associated with Medicaid utilization over a sixteen-year period. The analyses showed stable probabilities of accessing the program over time and observed that the most vulnerable older adults make up the pool of Medicaid beneficiaries. There is no evidence of significant asset divestment in order to qualify for benefits. Multivariate analyses further revealed those who were older, female, minority race/ethnicity, less educated, in poorer health, below the federal poverty line, and with lower net wealth had a higher risk of utilizing Medicaid during the observed time period than their counterparts. Findings highlight the importance of monitoring changes in the documented risk factors over time in terms of their impact on Medicaid utilization and underscore the need to consider how these factors may be interrelated.

Purpose in life and 8-year mortality by gender and race/ethnicity among older adults in the U.S.

We examined the associations between a sense of purpose and all-cause mortality by gender and race/ethnicity groups. Data were from the Health and Retirement Study, a nationally representative cohort study of U.S. adults aged >50 (n = 13,159). Sense of purpose was self-reported at baseline (2006/2008), and risk of all-cause mortality was assessed over an 8-year follow-up period. We also formally tested for potential effect modification by gender and race/ethnicity. We observed the associations between higher purpose and lower all-cause mortality risk across all gender and race/ethnicity groups. There was modest evidence that the highest level of purpose (versus lowest quartile) was associated with even lower risk of all-cause mortality among women (risk ratio = 0.66, 95% confidence interval: 0.56, 0.77) compared to men (risk ratio = 0.80, 95% confidence interval: 0.69, 0.93; p-value for multiplicative effect modification =0.07). However, we observed no evidence of effect modification by race/ethnicity. Having a higher sense of purpose appears protective against all-cause mortality regardless of gender and race/ethnicity. Purpose, a potentially modifiable factor, might be a health asset across diverse populations.

State-level metabolic comorbidity prevalence and control among adults age 50-plus with diabetes: estimates from electronic health records and survey data in five states.

BACKGROUND: Although treatment and control of diabetes can prevent complications and reduce morbidity, few data sources exist at the state level for surveillance of diabetes comorbidities and control. Surveys and electronic health records (EHRs) offer different strengths and weaknesses for surveillance of diabetes and major metabolic comorbidities. Data from self-report surveys suffer from cognitive and recall biases, and generally cannot be used for surveillance of undiagnosed cases. EHR data are becoming more readily available, but pose particular challenges for population estimation since patients are not randomly selected, not everyone has the relevant biomarker measurements, and those included tend to cluster geographically. METHODS: We analyzed data from the National Health and Nutritional Examination Survey, the Health and Retirement Study, and EHR data from the DARTNet Institute to create state-level adjusted estimates of the prevalence and control of diabetes, and the prevalence and control of hypertension and high cholesterol in the diabetes population, age 50 and over for five states: Alabama, California, Florida, Louisiana, and Massachusetts. RESULTS: The estimates from the two surveys generally aligned well. The EHR data were consistent with the surveys for many measures, but yielded consistently lower estimates of undiagnosed diabetes prevalence, and identified somewhat fewer comorbidities in most states. CONCLUSIONS: Despite these limitations, EHRs may be a promising source for diabetes surveillance and assessment of control as the datasets are large and created during the routine delivery of health care. TRIAL REGISTRATION: Not applicable.

Reported organic food consumption and metabolic syndrome in older adults: cross-sectional and longitudinal analyses.

PURPOSE: Examine cross-sectional and longitudinal relationships between organic food consumption, metabolic syndrome (MetS), and its components among older adults. METHODS: Respondents of the 2012 Health and Retirement Study (HRS), and Health Care and Nutrition Study (HCNS) were included in this study. Organic food consumption was measured with a crude binary question asking about past-year consumption (yes/no). Cross-sectional analyses were conducted with 6,633 participants (mean (SE) age, 65.5 (0.3) years). Longitudinal analyses were conducted with a subset of 1,637 respondents who participated in the HRS Venous Blood Study (mean (SE) age, 63.8 (0.4) years). Hemoglobin A1C and high-density lipoprotein cholesterol were assessed using dried blood spots at baseline. Glucose, high-density lipoprotein cholesterol, and triglycerides were assessed using fasting blood samples collected 4 years after baseline. Waist circumference and blood pressure were measured at baseline and follow-up. Logistic and linear regressions were used to assess the associations between organic food consumption, MetS, and its components. RESULTS: Any organic food consumption over the previous year was reported among 47.4% of cross-sectional and 51.3% of longitudinal participants. Unadjusted models showed inverse cross-sectional associations between organic food consumption and waist circumference, blood pressure, and hemoglobin A1C, and positive longitudinal association with high-density lipoprotein cholesterol. No significant associations were detected in the fully adjusted models. CONCLUSIONS: No association was observed between organic food consumption and MetS among older adults after adjusting for confounders. Future studies with a precise definition, quantitative assessment of the consumption, and duration of organic food consumption, together with pesticides biomarkers, are warranted.

The intersectionality of life course socioeconomic status, race, and cognitive decline: An 18-year follow-up.

OBJECTIVES: Studies have documented the impact of childhood socioeconomic status (SES) on cognition. However, research that simultaneously considers SES in varied life stages, the multidimensional mechanisms, and racial differences is relatively understudied. This study examines the intersectionality across age, SES, and race and its impact on cognitive trajectories. METHODS: Using 8376 respondents aged 65+ from the 1998-2016 Health and Retirement Study, we used latent growth curve modeling to examine the effects of four life course models (latency, pathway, accumulation, and mobility) on 18-year trajectories of mental status and episodic memory. We further tested for differences in the links between SES and cognitive trajectories between black and white respondents. RESULTS: Cognitive function declines with age and is interrelated with SES and race. Adulthood has a stronger effect on cognitive performance than childhood. However, linked positive childhood and adulthood SES contributes to positive cognition. Accumulated SES disadvantages were associated with lower cognition. Older adults with downward mobility and low SES throughout their lifespans had the lowest cognition scores. Life course models operated differently on trajectories of cognitive decline, yet the effects were particularly evident among older black respondents. Overall, those with socioeconomic advantages tended to have a slower decline in cognition, while a faster decline occurred for those with accrued disadvantages. CONCLUSIONS: Cognitive performance is a complex, longitudinal process intertwined with socioeconomic conditions and population heterogeneity shaped by life course contexts. Policies that facilitate healthy cognitive performance and address SES inequality could equalize health opportunities and address racial cognitive disparities later in life.

Lonely older adults are more likely to delay or avoid medical care during the coronavirus disease 2019 pandemic.

OBJECTIVES: To examine the relationship between loneliness and self-reported delay or avoidance of medical care among community-dwelling older adults during the coronavirus disease 2019 (COVID-19) pandemic. METHODS: Analyses of data from a nationally representative survey administered in June of 2020, in COVID-19 module of the Health and Retirement Study. Bivariate and multivariable analyses determined associations of loneliness with the likelihood of, reasons for, and types of care delay or avoidance. RESULTS: The rate of care delay or avoidance since March of 2020 was 29.1% among all respondents (n = 1997), and 10.1% higher for lonely (n = 1,150%, 57.6%) versus non-lonely respondents (33.5% vs. 23.4%; odds ratio = 1.59, p = 0.003 after covariate adjustment). The differences were considerably larger among several subgroups such as those with emotional/psychiatric problems. Lonely older adults were more likely to cite "Decided it could wait," "Was afraid to go," and "Couldn't afford it" as reasons for delayed or avoided care. Both groups reported dental care and doctor's visit as the two most common care delayed or avoided. CONCLUSIONS: Loneliness is associated with a higher likelihood of delaying or avoiding medical care among older adults during the pandemic.

Polygenic Scores for Plasticity: A New Tool for Studying Gene-Environment Interplay.

Fertility, health, education, and other outcomes of interest to demographers are the product of an individual's genetic makeup and their social environment. Yet, gene × environment (G×E) research deploys a limited toolkit on the genetic side to study the gene-environment interplay, relying on polygenic scores (PGSs) that reflect the influence of genetics on levels of an outcome. In this article, we develop a genetic summary measure better suited for G×E research: variance polygenic scores (vPGSs), which are PGSs that reflect genetic contributions to plasticity in outcomes. First, we use the UK Biobank (N ∼ 408,000 in the analytic sample) and the Health and Retirement Study (N ∼ 5,700 in the analytic sample) to compare four approaches to constructing PGSs for plasticity. The results show that widely used methods for discovering which genetic variants affect outcome variability fail to serve as distinctive new tools for G×E. Second, using the PGSs that do capture distinctive genetic contributions to plasticity, we analyze heterogeneous effects of a UK education reform on health and educational attainment. The results show the properties of a useful new tool for population scientists studying the interplay of nature and nurture and for population-based studies that are releasing PGSs to applied researchers.