Living with parents or grandparents increases social capital and survival: 2014 General Social Survey-National Death Index

Are Depression and Anxiety Underdiagnosed in Socially Vulnerable Patients With Inflammatory Bowel Disease?

INTRODUCTION

Depression and anxiety are highly prevalent among individuals with inflammatory bowel disease (IBD); however, little is understood about how social determinants of health (SDOH) may impact mental health diagnoses in this population. The social vulnerability index (SVI) is a publicly available tool that can be used to study SDOH in IBD patients.

METHODS

Home addresses from a retrospective cohort of IBD patients at a single center were used to geocode patients to their individual census tract and corresponding SVI. We used multivariable logistic regression to examine the relationship between SVI and comorbid mental health diagnoses in patients with IBD. Secondarily, data from standardized health questionnaires were then used to determine if patients were adequately screened for depression and anxiety.

RESULTS

In all, 9644 patients were included; 18% had a diagnosis of depression, 21% anxiety, and 32% had a composite of "any mental health diagnosis." Depression (odds ratio [OR], 1.27; 95% confidence interval [CI], 1.02-1.56) but not anxiety (OR, 0.87; 95% CI, 0.71-1.06) nor "any mental health diagnosis" (OR, 1.09; 95% CI, 0.92-1.30) was associated with higher levels of social vulnerability. However, overall rates of screening for depression and anxiety were low (15% and 8%, respectively), with the lowest screening rates among the most socially vulnerable (depression 8.2%, anxiety 6.3%).

CONCLUSIONS

Disparities in the diagnoses of depression and anxiety for socially vulnerable patients with IBD exist. Awareness of these inequities is the first step toward developing interventions to improve mental health screening, eliminate barriers and bias, and promote referrals for appropriate mental health management.

Association of the intergenerational structure with the onset of depressive symptoms among middle-aged and older adults in China

BACKGROUND

Chinese family structure has undergone tremendous changes over the past few decades. Moreover, the association of the intergenerational structure with depression remains controversial.

AIMS

This study aimed to find out the association of the intergenerational structure and the onset of depressive symptoms among Chinese middle-aged and older adults.

METHODS

This study included 4,868 participants of the China Health and Retirement Longitudinal Study (CHARLS), who were enrolled in 2011 without depressive symptoms and followed up at least once later in 2013, 2015, 2018, and 2020. Taking the time-varying confounding effect into account, the time-dependent Cox regression models were used to estimate the association of the intergenerational structure and the onset of depressive symptoms.

RESULTS

Among the studied middle-aged and older adults, compared to one-generation households, higher hazard ratios (HR) of developing depressive symptoms were found in three-generation households in the study population (HR = 1.21, 95% CI [1.08, 1.36]). Further, for female participants, skipping-generation households (HR = 1.38, 95% CI [1.05, 1.83]) and three-generation lineal households (HR = 1.21, 95% CI [1.02, 1.43]) were found to be significantly associated with new-onset depressive symptoms compared to empty-nest couples. For male participants, living alone (HR = 1.65, 95% CI [1.30, 2.11]), living in standardized nuclear households (HR = 1.27, 95% CI [1.06, 1.54]), impaired nuclear households (HR = 1.80, 95% CI [1.18, 2.76]), or three-generation lineal households (HR = 1.34, 95% CI [1.12, 1.60]) were found to have a significant association with the onset of depressive symptoms.

CONCLUSIONS

This study found that males living alone, with unmarried children, or in three-generation lineal households, and females living with grandchildren were more likely to suffer from depressive symptoms. Therefore, special attention should be paid to people in these intergenerational structure subtypes.

Relationship between social participation and depressive symptoms in patients with multimorbidity: the chained mediating role of cognitive function and activities of daily living

OBJECTIVE

The potential mechanisms linking social participation and depressive symptoms in Chinese individuals with multimorbidity are not yet fully understood. This study aims to explore how cognitive function and activities of daily living (ADLs) mediate the relationship between social participation and depressive symptoms in individuals with multimorbidity.

METHODS

We selected 3782 participants with multimorbidity from the 2018 China Health and Retirement Longitudinal Study. Data related to social participation, cognitive function, ADLs, and depressive symptoms were extracted. Regression and Bootstrap analyses were used to explore the sequential mediating effects of social participation, cognitive function, ADLs, and depressive symptoms.

RESULTS

(1) There was a significant correlation between social participation, cognitive function, activities of daily living, and depressive symptoms (p < 0.01). (2) Social participation directly affected depressive symptoms (β = -0.205, p < 0.05). (3) Cognitive function (β = -0.070, p < 0.01) and activities of daily living (β = -0.058, p < 0.01) played separate mediating roles in the effect of social participation on depressive symptoms. (4) Cognitive function and activities of daily living had a chain-mediated role in the relationship between social participation and depressive symptoms in patients with multimorbidity (β = -0.020, p < 0.01).

CONCLUSION

A chained mediating effect was found between cognitive function, ADLs, social participation, and depressive symptoms in patients with multimorbidity. Social participation was found to improve the cognitive function of patients with multimorbidity, which in turn enhanced their daily life activities and ultimately alleviated their depressive symptoms.

An Application of Social Vulnerability Index to Infant Mortality Rates in Ohio Using Geospatial Analysis- A Cross-Sectional Study

BACKGROUND

Ohio ranks 43rd in the nation in infant mortality rates (IMR); with IMR among non-Hispanic black infants is three times higher than white infants.

OBJECTIVE

To identify the social factors determining the vulnerability of Ohio counties to IMR and visualize the spatial association between relative social vulnerability and IMR at county and census tract levels.

METHODS

The social vulnerability index (SVICDC) is a measure of the relative social vulnerability of a geographic unit. Five out of 15 social variables in the SVICDC were utilized to create a customized index for IMR (SVIIMR) in Ohio. The bivariate descriptive maps and spatial lag model were applied to visualize the quantitative relationship between SVIIMR and IMR, accounting for the spatial autocorrelation in the data.

RESULTS

Southeastern counties in Ohio displayed highest IMRs and highest overall SVIIMR; specifically, highest vulnerability to poverty, no high school diploma, and mobile housing. In contrast, extreme northwestern counties exhibited high IMRs but lower overall SVIIMR. Spatial regression showed five clusters where vulnerability to low per capita income in one county significantly impacted IMR (p = 0.001) in the neighboring counties within each cluster. At the census tract-level within Lucas county, the Toledo city area (compared to the remaining county) had higher overlap between high IMR and SVIIMR.

CONCLUSION

The application of SVI using geospatial techniques could identify priority areas, where social factors are increasing the vulnerability to infant mortality rates, for potential interventions that could reduce disparities through strategic and equitable policies.

The Impact of COVID-19 Household Isolation on Conflict and Cohesion in One-, Two-, and Three-Generation Households With Older Adults

The current cross-sectional study examined the effect of coronavirus disease 2019 (COVID-19) household isolation on household conflict and cohesion in one-, two-, and three-generation households with older adults (aged ≥65 years). Participants were 757 adults (aged ≥18 years) with at least one older adult in their household. Respondents were from 51 countries. Study variables were measured with the COVID-19 Household Environmental Scale. Non-parametric tests were used to assess differences between groups. Most participants (n = 437, 57.7%) lived in three-generation homes. Three-generation homes reported greater increases in conflict (p < 0.001) and cohesion (p < 0.001) during household isolation compared to oneand two-generation homes. Findings suggest that older adults living in multigenerational households experienced more cohesive and conflictive household environments as a function of the COVID-19 pandemic. Further research should explore how family or health care interventions could better support older adults and families as a unit of care to avoid adverse outcomes and boost resilience. [Journal of Gerontological Nursing, 49(4), 47-56.].

Household Composition and Inequalities in COVID-19 Vaccination in Wales, UK

The uptake of COVID-19 vaccination in Wales is high at a population level but many inequalities exist. Household composition may be an important factor in COVID-19 vaccination uptake due to the practical, social, and psychological implications associated with different living arrangements. In this study, the role of household composition in the uptake of COVID-19 vaccination in Wales was examined with the aim of identifying areas for intervention to address inequalities. Records within the Wales Immunisation System (WIS) COVID-19 vaccination register were linked to the Welsh Demographic Service Dataset (WDSD; a population register for Wales) held within the Secure Anonymised Information Linkage (SAIL) databank. Eight household types were defined based on household size, the presence or absence of children, and the presence of single or multiple generations. Uptake of the second dose of any COVID-19 vaccine was analysed using logistic regression. Gender, age group, health board, rural/urban residential classification, ethnic group, and deprivation quintile were included as covariates for multivariable regression. Compared to two-adult households, all other household types were associated with lower uptake. The most significantly reduced uptake was observed for large, multigenerational, adult group households (aOR 0.45, 95%CI 0.43-0.46). Comparing multivariable regression with and without incorporation of household composition as a variable produced significant differences in odds of vaccination for health board, age group, and ethnic group categories. These results indicate that household composition is an important factor for the uptake of COVID-19 vaccination and consideration of differences in household composition is necessary to mitigate vaccination inequalities.

Family structure and depressive symptoms among older adults in China: A marginal structural model analysis

BACKGROUND

Mental well-being in the aging population is inevitably linked to families due to the reliance of older adults on family members. This study investigates the causal relationship between family structure and depressive symptoms among Chinese older adults in general and between gender and residential areas.

METHODS

We used China Health and Retirement Longitudinal Study (CHARLS) panel data, covering four data collection rounds over seven years. Family structure was classified into single-member, couple, nuclear family, and extended family. Taking into account time-varying confounding, we estimated the causal effects of family structure on depressive symptoms using marginal structural models.

RESULTS

Older people with cumulative exposure to single-member family type had an increased odds of depressive symptoms by an average of 33 % (95 % CI: 1.22-1.44) than their counterparts who lived in the couple family. Additionally, older people living in extended families also had 6 % higher odds of experiencing depressive symptoms (95 % CI: 1.00, 1.11). The longitudinal associations were consistent across gender groups and residential areas (p-value for interaction is 0.6638 for gender and 0.7043 for the residential area).

LIMITATION

The time-varying confounders (e.g., chronic health conditions) included in the analysis are based on self-reported data, which may be subject to measurement errors.

CONCLUSION

The risk of depressive symptoms is greater for older individuals living alone and in extended families. Screening for depression in the older population, particularly those living in "at-risk" households, is recommended.

Age-Dependent Differences in Frequent Mental Distress (FMD) of US Older Adults Living in Multigenerational Families versus Living Alone

Frequent mental distress (FMD) is prevalent among older Americans, but less is known about disparities in FMD of older adults living in multigenerational families versus living alone. We pooled cross-sectional data (unweighted, n = 126,144) from the Behavioral Risk Factor Surveillance System (BRFSS) between 2016 and 2020 and compared FMD (≥14 poor mental health days in the past 30 days = 1; 0 otherwise) of older adults (≥65 years) living in multigenerational families versus living alone in 36 states. After controlling for covariates, findings indicate 23% lower odds of FMD among older adults living in multigenerational households compared to counterparts living alone (adjusted odds ratio (AOR): 0.77; 95% confidence interval (CI): 0.60, 0.99). Findings also show that the reduction in the odds of FMD with each 5 year increase in age was larger among older adults living in multigenerational families by 18% (AOR: 0.56; 95% CI: 0.46, 0.70) compared to older adults living alone (AOR: 0.74; 95% CI: 0.71, 0.77), and this difference was significant at the 5% significance level. Multigenerational living may have a protective association with FMD among older adults. Further research is needed to identify multigenerational family and non-kin factors that translate into mental health advantages for older adults.

Association between household composition and severe COVID-19 outcomes in older people by ethnicity: an observational cohort study using the OpenSAFELY platform

BACKGROUND

Ethnic differences in the risk of severe COVID-19 may be linked to household composition. We quantified the association between household composition and risk of severe COVID-19 by ethnicity for older individuals.

METHODS

With the approval of NHS England, we analysed ethnic differences in the association between household composition and severe COVID-19 in people aged 67 or over in England. We defined households by number of age-based generations living together, and used multivariable Cox regression stratified by location and wave of the pandemic and accounted for age, sex, comorbidities, smoking, obesity, housing density and deprivation. We included 2 692 223 people over 67 years in Wave 1 (1 February 2020-31 August 2020) and 2 731 427 in Wave 2 (1 September 2020-31 January 2021).

RESULTS

Multigenerational living was associated with increased risk of severe COVID-19 for White and South Asian older people in both waves [e.g. Wave 2, 67+ living with three other generations vs 67+-year-olds only: White hazard ratio (HR) 1.61 95% CI 1.38-1.87, South Asian HR 1.76 95% CI 1.48-2.10], with a trend for increased risks of severe COVID-19 with increasing generations in Wave 2. There was also an increased risk of severe COVID-19 in Wave 1 associated with living alone for White (HR 1.35 95% CI 1.30-1.41), South Asian (HR 1.47 95% CI 1.18-1.84) and Other (HR 1.72 95% CI 0.99-2.97) ethnicities, an effect that persisted for White older people in Wave 2.

CONCLUSIONS

Both multigenerational living and living alone were associated with severe COVID-19 in older adults. Older South Asian people are over-represented within multigenerational households in England, especially in the most deprived settings, whereas a substantial proportion of White older people live alone. The number of generations in a household, number of occupants, ethnicity and deprivation status are important considerations in the continued roll-out of COVID-19 vaccination and targeting of interventions for future pandemics.

Correlates of influenza vaccination among underserved Latinx middle-aged and older adults: a cross-sectional survey

Background

Vaccination is a powerful tool in the fight against seasonal influenza, among underserved, middle-age and older, Latinx adults. Yet, vaccine hesitancy and inconsistent uptake in this population continues to represent a substantial challenge to public health. A better understanding of factors impacting influenza vaccination behaviors in this group could result in more effective messaging and initiatives promoting universal vaccination among Latinx.

Methods

In this cross-sectional survey, we explore correlates of influenza vaccination uptake among underserved, Latinx, older adults. Our focus was on the role of socio-demographics, living arrangements, financial strain, access and satisfaction with medical care, and the presence of major chronic conditions in terms of vaccine uptake. Middle-aged and older Latinx residents diagnosed with diabetes and/or hypertension (n=165), were recruited from the South Los Angeles Service Plan Area (SPA), a historically under-resourced community. Bi-variate and multi-variate logistical regression were performed on survey data to explore independent correlates of influenza vaccination.

Results

Almost half of underserved Latinx older adults in our study (45%) reported influenza vaccination within the 12 months prior to the study. The majority (~85%) reported receiving this recommendation from their primary care provider. However, thirty percent (30%) of those receiving this advice did not get the vaccine. A decreased likelihood of vaccination was significantly associated with living alone (p-value=0.026), lacking Medicare coverage (0.028), or higher levels of financial strain (0.020). Difficulty accessing medical care (p-value=0.008) or dissatisfaction with these experiences (p-value=0.001) were also strongly associated with decreased likelihood of vaccination. Participants diagnosed with COPD had 9.5 (CI: 1.76 – 51.3) higher odds of being vaccinated compared to those without; no correlation was detected for other chronic conditions.

Conclusion

The high number of unvaccinated Latinx participants receiving a vaccine recommendation from a provider is consistent with studies among other ethnic/racial minority older adults and highlights the pivotal role of the provider in influenza vaccine adoption. Additional findings reflect negative impact of Social Determinates of Health on preventive care efforts in this group. Further efforts to quantify these associations are needed to explore structural and human factors impacting influenza vaccine uptake.

Social perception of young adults prolongs the lifespan of aged Drosophila

Lifespan is modulated at distinct levels by multiple factors, including genetic backgrounds, the environment, behavior traits, metabolic status, and more interestingly, sensory perceptions. However, the effects of social perception between individuals living in the same space remain less clear. Here, we used the Drosophila model to study the influences of social perception on the lifespan of aged fruit flies. We found the lifespan of aged Drosophila is markedly prolonged after being co-housed with young adults of the same gender. Moreover, the changes of lifespan were affected by several experimental contexts: (1) the ratios of aged and young adults co-housed, (2) the chronological ages of two populations, and (3) the integrity of sensory modalities. Together, we hypothesize the chemical/physical stimuli derived from the interacting young adults are capable of interfering with the physiology and behavior of aged flies, ultimately leading to the alteration of lifespan.

Factors associated with the survival of elderly men in almost 15 years

OBJECTIVE

To identify factors associated with a higher probability of survival for men aged 60 and over in the course of almost 15 years.

METHODS

Prospective cohort study, where time zero is the year 2000 and deaths (final event) were measured until November 2014. The independent variables were obtained from personal characteristics, childhood life, educational status, lifestyle, social support, work history, socioeconomic situation, and health condition.

RESULTS

At the end of the period, 25.8% of elderly men remained alive and the factors that stood out associated with a higher probability of survival were: performing 50% or more of the Basic and/or Instrumental Activities of Daily Living (95%CI 0.41 - 0.64), being the head of the family (95%CI 0.42 - 0.82), participating in the community (95%CI 0.52 - 0.88), working on their own (95%CI 0.54 - 0.88), and owning a home and goods (95%CI 0.56 - 0.92).

CONCLUSION

Characteristics related to a greater autonomy of the elderly men, even after almost 15 years, contributed to an increase in the probability of survival.

Ethnicity, household composition and COVID-19 mortality: a national linked data study

OBJECTIVE

To estimate the proportion of ethnic inequalities explained by living in a multi-generational household.

DESIGN

Causal mediation analysis.

SETTING

Retrospective data from the 2011 Census linked to Hospital Episode Statistics (2017-2019) and death registration data (up to 30 November 2020).

PARTICIPANTS

Adults aged 65 years or over living in private households in England from 2 March 2020 until 30 November 2020 (n=10,078,568).

MAIN OUTCOME MEASURES

Hazard ratios were estimated for COVID-19 death for people living in a multi-generational household compared with people living with another older adult, adjusting for geographic factors, socioeconomic characteristics and pre-pandemic health.

RESULTS

Living in a multi-generational household was associated with an increased risk of COVID-19 death. After adjusting for confounding factors, the hazard ratios for living in a multi-generational household with dependent children were 1.17 (95% confidence interval [CI] 1.06-1.30) and 1.21 (95% CI 1.06-1.38) for elderly men and women. The hazard ratios for living in a multi-generational household without dependent children were 1.07 (95% CI 1.01-1.13) for elderly men and 1.17 (95% CI 1.07-1.25) for elderly women. Living in a multi-generational household explained about 11% of the elevated risk of COVID-19 death among elderly women from South Asian background, but very little for South Asian men or people in other ethnic minority groups.

CONCLUSION

Elderly adults living with younger people are at increased risk of COVID-19 mortality, and this is a contributing factor to the excess risk experienced by older South Asian women compared to White women. Relevant public health interventions should be directed at communities where such multi-generational households are highly prevalent.

Deriving household composition using population-scale electronic health record data-A reproducible methodology

BACKGROUND

Physical housing and household composition have an important role in the lives of individuals and drive health and social outcomes, and inequalities. Most methods to understand housing composition are based on survey or census data, and there is currently no reproducible methodology for creating population-level household composition measures using linked administrative data.

METHODS

Using existing, and more recent enhancements to the address-data linkage methods in the SAIL Databank using Residential Anonymised Linking Fields we linked individuals to properties using the anonymised Welsh Demographic Service data in the SAIL Databank. We defined households, household size, and household composition measures based on adult to child relationships, and age differences between residents to create relative age measures.

RESULTS

Two relative age-based algorithms were developed and returned similar results when applied to population and household-level data, describing household composition for 3.1 million individuals within 1.2 million households in Wales. Developed methods describe binary, and count level generational household composition measures.

CONCLUSIONS

Improved residential anonymised linkage field methods in SAIL have led to improved property-level data linkage, allowing the design and application of household composition measures that assign individuals to shared residences and allow the description of household composition across Wales. The reproducible methods create longitudinal, household-level composition measures at a population-level using linked administrative data. Such measures are important to help understand more detail about an individual's home and area environment and how that may affect the health and wellbeing of the individual, other residents, and potentially into the wider community.

Psychological distress in middle eastern immigrants to the United States: A challenge to the healthy migrant model?

RATIONALE AND OBJECTIVE

Research has documented a robust mental health advantage among Asian and Latino immigrants to the United States relative to the native-born. The current investigation extended this line of research, asking whether Middle Eastern immigrants to the United States enjoy a similar mental health advantage.

METHODS

Drawing on pooled cross-sections from the 2007-2018 National Health Interview Surveys, we used OLS regression to examine psychological distress in Middle Eastern immigrants relative to both native-born Whites and immigrants from other global regions. We used statistical interactions to assess whether gender and period differences are contingent on region of birth.

RESULTS

Findings reveal that the average level of psychological distress is higher among Middle Eastern immigrants than among both U.S.-born Whites and immigrants from other regions. Despite changing circumstances of migration for Middle Easterners and implementation in the United States of anti-immigrant policies, we see no evidence that distress increased more among immigrants compared to native-born Whites. Results point to greater psychological distress among Middle Eastern women than their native-born White counterparts and women from other immigrant groups, as well as Middle Eastern men. In contrast, psychological distress levels for Middle Eastern and native-born White men were indistinguishable, suggesting that the Middle Eastern mental health disadvantage in the United States is borne solely by women.

CONCLUSIONS

Results show that the mental health advantage enjoyed by some immigrant groups does not extend to Middle Eastern women, contradicting the healthy migrant model and challenging the assumption of a uniform mental health advantage across immigrant groups.

Influence of Psychosocial Variables on the Health of People Living in Housing Exclusion

The aim of this study was to analyze the influence of some personal characteristics, health variables, and social support on the self-rated health of people in housing exclusion in Spain. For that purpose, we used the FOESSA Survey of Social Integration and Needs database, with a final sample of 1574 households. Being more educated and reporting a good life satisfaction stood out as the main factors preventing worse health status. Furthermore, results showed that being female, experiencing poverty-related food insecurity, not having health insurance, experiencing widowhood or partner bereavement, and having caring responsibilities for others or having a disabled person in the household are associated with increased reporting of regular or poor health. On the other hand, being young, having a diagnosed/long-term illness, and a big household size are preventive factors for good health. These results allowed identifying risk and prevention factors to inform interventions to improve the health of those living in housing exclusion. Promoting better education levels, social support, and overall life satisfaction could be important to improve health in this population. Developing social support policies for caring responsibilities and food insecurity must be a priority to improve the health of people living in housing exclusion.

Do multigenerational living arrangements influence depressive symptoms in mid-late life? Cross-national findings from China and England

BACKGROUND

While living alone predicts depression in diverse ageing populations, the impact of multigenerational living is unclear. This study compared mid-late life depressive symptoms by living arrangements between societies with distinct kinship ties.

METHODS

Repeated data on depressive symptoms and living arrangements over 4 years from 16,229 Chinese (age≥45) and 10,403 English adults (age≥50) were analyzed using multilevel mixed-effects logistic regression. Elevated depressive symptoms were identified using the Center for Epidemiological Depression Scale criteria in each study.

RESULTS

Higher odds ratios (ORs) of elevated depressive symptoms were found in both Chinese and English adults aged<60 living with no partner but with children/grandchildren, compared to those living with a partner only. These ORs were greater for men (Chinese men: 3.09, 95% confidence interval: 2.00-4.78; English men: 3.44, 1.36-8.72) than for women (Chinese women: 1.77, 1.23-2.56; English women: 2.88, 1.41-3.67), after controlling for socioeconomic position, health behaviors, and health status. This male disadvantage was also observed for English, but not for Chinese, adults aged<60 living alone. For adults aged 60+, the increased odds among those living with no partner but with children/grandchildren and those living alone were smaller in both countries.

LIMITATIONS

Bias may exist because depressed participants are more likely to experience divorce or separation prior to baseline.

CONCLUSIONS

The relationship between living arrangements and depressive symptoms appears robust and consistent across social contexts, although the mechanisms differ. The protective role of partners in both China and England supports targeting those who do not live with partners to reduce depression.

The effect of cash transfers on mental health: Opening the black box - A study from South Africa

There is a gap in the literature in understanding how cash transfer programmes affect mental health. We aim to fill this gap by conceptualising and estimating the mediation effects of an unconditional cash transfer programme on mental health. We use a sample of 4,535 adults living below the South African poverty line in four waves (2008-2014) of the South African National Income Dynamics Study. We use information on individual exposure to South Africa's largest unconditional cash transfer programme, the Child Support Grant. Mental health is measured by the 10-item version of the Centre for Epidemiological Depression Scale. We use the product of the coefficient method for the mediation analysis in combination with instrumental variable estimation. We find that physical health and lifestyle factors mediate the relationship of the unconditional cash transfer programme, each explaining about eight percent and 16% of the total positive effect. Our findings show that individuals living in poverty make investment decisions that are positive for their mental health, which has strong implications for policy makers.

Changes in the depression gender gap from 1992 to 2014: Cohort effects and mediation by gendered social position

The depression gap (i.e., higher rates of depression among women than men) represents an important mental health disparity in the US. Differences in gendered social position (i.e., the roles, responsibilities, and opportunities available to women and men), which have been changing since the mid-20th Century may contribute to this gender gap. The present study examined the evidence for a changing depression gap across birth cohorts and tested the extent to which any changes over time were mediated by changes in relative social position between women and men. Data were from the National Longitudinal Surveys. The depression gap was defined as differences in mean CESD scores for women vs. men. The analytic sample included 13,666 respondents interviewed from 1992 to 2014. Hierarchical mixed models estimated the magnitude of the gender depression gap over time, its association with 10-year birth cohort (range: 1957-1994), and whether any variation was mediated by ratios among women relative to men of obtaining a college degree, being employed full-time, and the average number of hours spent doing housework per week, three indicators of gendered social position. There was a linear decrease in the depression gap by 0.18 points across birth cohort (95% CI = -0.26, -0.10). The results of the mediation analysis estimated that an increasing ratio of college degree attainment mediated 39% of the gender depression gap across cohorts (95% CI = 0.18, 0.78). There was no evidence of mediation due to changing employment or housework ratios. These findings partially support the hypothesis that the depression gap is changing over time and is meaningfully related to the social environment. Understanding the social causes of the depression gap can illuminate the fundamental processes through which depression disparities may be perpetuated or attenuated over time and may aid in the identification of strategies to reduce them.

Living arrangement dynamics of older adults in Mexico: Latent class analysis in an accelerated longitudinal design

BACKGROUND

Because living arrangements have many implications for the well-being of older adults, knowledge regarding typical age-related developmental changes in living arrangements is of a major concern for public health policymakers, particularly in low- and middle-income countries dealing with growing aging populations. However, the much-needed empirical analysis of living arrangement dynamics is hindered by a lack of proper data.

OBJECTIVE

To exploit often-available short-term longitudinal data in the study of long-term phenomena, in this paper we accelerate the Mexican Health and Aging Study (MHAS) panel as a means to explore, over a broad age span, the household dynamics of Mexican older adults.

METHODS

Instead of working with a priori definitions of different household structures when analyzing transitions between them, we introduce a novel approach that estimates latent classes of developmental trends in the household composition of older people as they age.

RESULTS

We show how accelerated longitudinal designs, coupled with latent class analysis, can offer new insights into living arrangement dynamics. Our findings suggest that in Mexico the typical living arrangements at 50 years old serve as an important predictor of future living arrangements, and that typical living-arrangement trajectories are strongly gendered in Mexico. This new approach may prove to be indispensible when determining the social support needed by high-risk population groups and as a means to better anticipate the necessary financial resources to do so.