Source-Specific Air Pollution and Loss of Independence in Older Adults Across the US.

Importance: Air pollution is a recognized risk factor associated with chronic diseases, including respiratory and cardiovascular conditions, which can lead to physical and cognitive impairments in later life. Although these losses of function, individually or in combination, reduce individuals' likelihood of living independently, little is known about the association of air pollution with this critical outcome. Objective: To investigate associations between air pollution and loss of independence in later life. Design, Setting, and Participants: This cohort study was conducted as part of the Environmental Predictors Of Cognitive Health and Aging study and used 1998 to 2016 data from the Health and Retirement Study. Participants included respondents from this nationally representative, population-based cohort who were older than 50 years and had not previously reported a loss of independence. Analyses were performed from August 31 to October 15, 2023. Exposures: Mean 10-year pollutant concentrations (particulate matter less than 2.5 µm in diameter [PM2.5] or ranging from 2.5 µm to 10 µm in diameter [PM10-2.5], nitrogen dioxide [NO2], and ozone [O3]) were estimated at respondent addresses using spatiotemporal models along with PM2.5 levels from 9 emission sources. Main Outcomes and Measures: Loss of independence was defined as newly receiving care for at least 1 activity of daily living or instrumental activity of daily living due to health and memory problems or moving to a nursing home. Associations were estimated with generalized estimating equation regression adjusting for potential confounders. Results: Among 25 314 respondents older than 50 years (mean [SD] baseline age, 61.1 [9.4] years; 11 208 male [44.3%]), 9985 individuals (39.4%) experienced lost independence during a mean (SD) follow-up of 10.2 (5.5) years. Higher exposure levels of mean concentration were associated with increased risks of lost independence for total PM2.5 levels (risk ratio [RR] per 1-IQR of 10-year mean, 1.05; 95% CI, 1.01-1.10), PM2.5 levels from road traffic (RR per 1-IQR of 10-year mean, 1.09; 95% CI, 1.03-1.16) and nonroad traffic (RR per 1-IQR of 10-year mean, 1.13; 95% CI, 1.03-1.24), and NO2 levels (RR per 1-IQR of 10-year mean, 1.05; 95% CI, 1.01-1.08). Compared with other sources, traffic-generated pollutants were most consistently and robustly associated with loss of independence; only road traffic-related PM2.5 levels remained associated with increased risk after adjustment for PM2.5 from other sources (RR per 1-IQR increase in 10-year mean concentration, 1.10; 95% CI, 1.00-1.21). Other pollutant-outcome associations were null, except for O3 levels, which were associated with lower risks of lost independence (RR per 1-IQR increase in 10-year mean concentration, 0.94; 95% CI, 0.92-0.97). Conclusions and Relevance: This study found that long-term exposure to air pollution was associated with the need for help for lost independence in later life, with especially large and consistent increases in risk for pollution generated by traffic-related sources. These findings suggest that controlling air pollution could be associated with diversion or delay of the need for care and prolonged ability to live independently.

Depressive Symptoms, Glial Fibrillary Acid Protein Concentrations, and Cognitive Decline in a Cohort Study.

BACKGROUND: Little is known about how depressive symptoms and glial fibrillary acid protein (GFAP) concentrations taken together may influence cognitive functioning. Understanding this relationship may inform strategies for screening and early intervention to decrease the rate of cognitive decline. METHODS: This study sample includes 1 169 participants from the Chicago Health and Aging Project (CHAP), consisting of 60% Black participants and 40% White participants, and 63% female participants and 37% male participants. CHAP is a population-based cohort study of older adults with a mean age of 77 years. Linear mixed-effects regression models tested the main effects of depressive symptoms and GFAP concentrations and their interactions on baseline cognitive function and cognitive decline over time. Models included adjustments for age, race, sex, education, chronic medical conditions, body mass index, smoking status, alcohol use, and their interactions with time. RESULTS: The interaction of depressive symptomology and GFAP (ß = -0.105 [standard error = 0.038], p = .006) on global cognitive function was statistically significant. Participants with depressive symptoms including and above the cutoff and high log of GFAP concentrations had more cognitive decline over time, followed by participants with depressive symptoms below the cutoff and high log of GFAP concentrations, depressive symptom scores including and above the cutoff and low log of GFAP concentrations, and depressive symptom scores below the cutoff and low log of GFAP concentrations. CONCLUSIONS: Depressive symptoms have an additive effect on the association between the log of GFAP and baseline global cognitive function.

Neuropsychological Assessment of Older Adults in Nepal for Population-Based Dementia Ascertainment: Needs, Challenges, and Opportunities.

The population of Nepal is rapidly aging, as in other low and middle-income countries, and the number of individuals living with Alzheimer's Disease and related dementias (ADRD) is expected to increase. However, information about the neuropsychological assessment of ADRD in Nepal is lacking. We first aimed to examine the needs, challenges, and opportunities associated with the neuropsychological assessment of older adults in Nepal for population-based ADRD ascertainment. Second, we introduce the Chitwan Valley Family Study-Study of Cognition and Aging in Nepal (CVFS-SCAN), which is poised to address these needs, and its collaboration with the Harmonized Cognitive Assessment Protocol (HCAP) international network. We reviewed the existing literature on the prevalence, risk factors, available neuropsychological assessment instruments, and sociocultural factors that may influence the neuropsychological assessment of older adults for ADRD ascertainment in Nepal. Our review revealed no existing population-based data on the prevalence of ADRD in Nepal. Very few studies have utilized formal cognitive assessment instruments for ADRD assessment, and there have been no comprehensive neuropsychological assessment instruments that have been validated for the assessment of ADRD in Nepal. We describe how the CVFS-SCAN study will address this need through careful adaptation of the HCAP instrument. We conclude that the development of culturally appropriate neuropsychological assessment instruments is urgently needed for the population-based assessment of ADRD in Nepal. The CVFS-SCAN is designed to address this need and will contribute to the growth of global and equitable neuropsychology and to the science of ADRD in low- and middle-income countries.

Network Types and Functional Health in Old Age: It is Not Just the Size of the Network That Matters.

OBJECTIVES: Findings on the effect of network size and support on functional health are mixed. We examine whether network types, that simultaneously incorporate multiple network characteristics, are associated with functional health in late life. METHODS: Data are from the National Social Life, Health, and Aging Project (N = 3005). We estimated the longitudinal effect of membership in five multidimensional network types on disability in six activities of daily living using negative binomial regression, and on mobility (assessed using a timed walk test) using a generalized linear mixed model. RESULTS: Compared to those in the large without strain network, older adults in the small, restricted, high contact network had fewer disabilities but worse mobility, while those in the large network with strain also had worse mobility. DISCUSSION: Care plans focusing on function and mobility should consider multiple aspects of older adults' social networks including network size, diversity, and relationship strain.

Hypertension and Stroke as Mediators of Air Pollution Exposure and Incident Dementia.

Importance: Fine particulate matter air pollution (PM2.5) has been consistently associated with cardiovascular disease, which, in turn, is associated with an increased risk of dementia. As such, vascular dysfunction might be a mechanism by which PM2.5 mediates dementia risk, yet few prior epidemiological studies have examined this potential mechanism. Objective: To investigate whether hypertension and stroke serve as mediators and modifiers of the association of PM2.5 with incident dementia. Design, Setting, and Participants: As part of the Environmental Predictors of Cognitive Health and Aging (EPOCH) Project, this cohort study used biennial survey data collected between 1998 and 2016 from respondents of the Health and Retirement Study (HRS), a nationally representative, population-based, cohort in the US. Eligible participants were those over 50 years of age who were free of dementia at baseline and had complete exposure, mediator, outcome, and demographic data from the HRS. Data analysis was conducted from August to November 2022. Exposures: Exposure to PM2.5, calculated for the 10 years preceding each person's baseline examination according to residential histories and spatiotemporal models. Main Outcomes and Measures: Incident dementia was identified using a validated algorithm based on cognitive testing and informant reports. The 4-way decomposition causal mediation analysis method was used to quantify the degree to which hypertension and stroke mediated or modified the association of PM2.5 with incident dementia after adjustment for individual-level and area-level covariates. Results: Among 27 857 participants (mean [SD] age at baseline, 61 [10] years; 15 747 female participants [56.5%]; 19 249 non-Hispanic White participants [69.1%]), 4105 (14.7%) developed dementia during the follow-up period (mean [SD], 10.2 [5.6] years). Among participants with dementia, 2204 (53.7%) had a history of hypertension at baseline and 386 (9.4%) received a diagnosis of hypertension during the follow up. A total of 378 participants (9.2%) had a history of stroke at baseline and 673 (16.4%) developed stroke over the follow-up period. The IQR of baseline PM2.5 concentrations was 10.9 to 14.9 µg/m3. In fully adjusted models, higher levels of PM2.5 (per IQR) were not associated with increased risk of incident dementia (HR, 1.04; 95% CI, 0.98 to 1.11). Although there were positive associations of prevalent stroke (HR, 1.67; 95% CI, 1.48 to 1.88) and hypertension (HR, 1.15; 95% CI, 1.08 to 1.23) with incident dementia compared with those free of stroke and hypertension during follow-up, there was no statistically significant association of PM2.5 with stroke (odds ratio per IQR increment in PM2.5, 1.08; 95%CI, 0.91 to 1.29) and no evidence of an association of PM2.5 with hypertension (odds ratio per IQR increment in PM2.5, 0.99; 95%CI, 0.92 to 1.07). Concordantly, there was no evidence that hypertension or stroke acted as mediators or modifiers of the association of PM2.5 with incident dementia. Although the nonmediated interaction between PM2.5 and hypertension accounted for 39.2% of the total excess association (95% CI, -138.5% to 216.9%), the findings were not statistically significant. Conclusions and Relevance: These findings suggest that although hypertension may enhance the susceptibility of individuals to air pollution, hypertension and stroke do not significantly mediate or modify the association of PM2.5 with dementia, indicating the need to investigate other pathways and potential mediators of risk.

Comparison of Particulate Air Pollution From Different Emission Sources and Incident Dementia in the US.

Importance: Emerging evidence indicates that exposure to fine particulate matter (PM2.5) air pollution may increase dementia risk in older adults. Although this evidence suggests opportunities for intervention, little is known about the relative importance of PM2.5 from different emission sources. Objective: To examine associations of long-term exposure of total and source-specific PM2.5 with incident dementia in older adults. Design, Setting, and Participants: The Environmental Predictors of Cognitive Health and Aging study used biennial survey data from January 1, 1998, to December 31, 2016, for participants in the Health and Retirement Study, which is a nationally representative, population-based cohort study in the US. The present cohort study included all participants older than 50 years who were without dementia at baseline and had available exposure, outcome, and demographic data between 1998 and 2016 (N = 27 857). Analyses were performed from January 31 to May 1, 2022. Exposures: The 10-year mean total PM2.5 and PM2.5 from 9 emission sources at participant residences for each month during follow-up using spatiotemporal and chemical transport models. Main Outcomes and Measures: The main outcome was incident dementia as classified by a validated algorithm incorporating respondent-based cognitive testing and proxy respondent reports. Adjusted hazard ratios (HRs) were estimated for incident dementia per IQR of residential PM2.5 concentrations using time-varying, weighted Cox proportional hazards regression models with adjustment for the individual- and area-level risk factors. Results: Among 27 857 participants (mean [SD] age, 61 [10] years; 15 747 [56.5%] female), 4105 (15%) developed dementia during a mean (SD) follow-up of 10.2 [5.6] years. Higher concentrations of total PM2.5 were associated with greater rates of incident dementia (HR, 1.08 per IQR; 95% CI, 1.01-1.17). In single pollutant models, PM2.5 from all sources, except dust, were associated with increased rates of dementia, with the strongest associations for agriculture, traffic, coal combustion, and wildfires. After control for PM2.5 from all other sources and copollutants, only PM2.5 from agriculture (HR, 1.13; 95% CI, 1.01-1.27) and wildfires (HR, 1.05; 95% CI, 1.02-1.08) were robustly associated with greater rates of dementia. Conclusion and Relevance: In this cohort study, higher residential PM2.5 levels, especially from agriculture and wildfires, were associated with higher rates of incident dementia, providing further evidence supporting PM2.5 reduction as a population-based approach to promote healthy cognitive aging. These findings also indicate that intervening on key emission sources might have value, although more research is needed to confirm these findings.

Cognition and Mortality Risk Among Midlife and Older Americans.

BACKGROUND: Cognitive impairment is associated with increased mortality rates in late life, but it is unclear whether worse cognition predicts working-age mortality. METHODS: The data come from a U.S. national survey (N = 3 973 aged 32-84 at cognitive testing in 2004-06, mean age 56.6, 56.3% female; N = 3 055 retested in 2013-18 at ages 42-94, mean age 64.6, 56.6% female; mortality follow-up through 2019). We use Cox hazard models to investigate whether cognition is associated with mortality below age 65, how the magnitude of this risk compares with the risk in later life, and whether the association persists after adjusting for potential confounders. RESULTS: Worse cognition is associated with mortality, but the demographic-adjusted hazard ratio (HR) diminishes with age from 2.0 per standard deviation (SD; 95% confidence interval [CI], 1.7-2.4) at age 55-1.4 (95% CI, 1.3-1.6) at age 85. In the fully adjusted model, the corresponding HRs are 1.4 (95% CI, 1.2-1.7) and 1.3 (95% CI, 1.1-1.4), respectively. The absolute differences in mortality by level of cognition, however, are larger at older ages because mortality is rare at younger ages. The fully adjusted model implies a 2.7 percentage point differential in the estimated percentage dying between ages 55 and 65 for those with low cognition (1 SD below the overall mean, 5.7%) versus high cognition (1 SD above the mean, 3.0%). The corresponding differential between ages 75 and 85 is 8.4 percentage points (24.6% vs 16.2%, respectively). CONCLUSIONS: Cognitive function may be a valuable early warning sign of premature mortality, even at working ages, when dementia is rare.

Aging and the Left Behind: Puerto Rico and Its Unconventional Rapid Aging.

Puerto Rico is aging more rapidly than almost any country, with 2020 estimates placing its population share of adults older than 65 as being the 10th highest in the world. Unlike most locales, Puerto Rico's aging is driven by both (a) the culmination of long-running fertility and mortality trends and (b) high levels of outmigration of working-age adults, which contributes both directly (removal of young people) and indirectly (reduced births) to its pace of population aging. This article offers an overview of the main issues surrounding population aging in Puerto Rico. Policymakers and government leaders must plan for Puerto Rico's unconventional population aging, which will exacerbate traditional concerns about the sustainability of government services and long-term economic prospects. Additional concerns emerge related to reduced social support networks and their impact on caregiving dynamics and implications for health. Puerto Rico's unique history and political relationship with the United States present challenges and benefits for its aging population. Research on aging in Puerto Rico and public health policies must adapt to the needs of the country's aging society.

The association of fire or police first responder initiated interventions with out of hospital cardiac arrest survival.

OBJECTIVE: Fire and police first responders are often the first to arrive in medical emergencies and provide basic life support services until specialized personnel arrive. This study aims to evaluate rates of fire or police first responder-initiated cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) use, as well as their associated impact on out-of-hospital cardiac arrest (OHCA) outcomes. METHODS: We completed a secondary data analysis of the MI-CARES registry from 2014 to 2019. We reported rates of CPR initiation and AED use by fire or police first responders. Multilevel modeling was utilized to evaluate the relationship between fire/police first responder-initiated interventions and outcomes of interest: ROSC upon emergency department arrival, survival to hospital discharge, and good neurologic outcome. RESULTS: Our cohort included 25,067 OHCA incidents. We found fire or police first responders initiated CPR in 31.8% of OHCA events and AED use in 6.1% of OHCA events. Likelihood of sustained ROSC on ED arrival after CPR initiated by a fire/police first responder was not statistically different as compared to EMS initiated CPR (aOR 1.01, CI 0.93-1.11). However, fire/police first responder interventions were associated with significantly higher odds of survival to hospital discharge and survival with good neurologic outcome (aOR 1.25, 95% CI 1.08-1.45 and aOR 1.40, 95% CI 1.18-1.65, respectively). Similar associations were see when examining fire or police initiated AED use. CONCLUSIONS: Fire or police first responders may be an underutilized, potentially powerful mechanism for improving OHCA survival. Future studies should investigate barriers and opportunities for increasing first responder interventions by these groups in OHCA.

Multidimensional Social Network Types and Their Correlates in Older Americans.

BACKGROUND AND OBJECTIVES: Social support networks of older adults have been linked to their health and well-being; however, findings regarding the effects of specific network characteristics have been mixed. Additionally, due to demographic shifts increasing numbers of older adults live outside of traditional family structures. Previous studies have not systematically examined the resulting complexity and heterogeneity of older adults' social networks. Our objectives were to examine this complexity and heterogeneity by developing a multidimensional typology of social networks that simultaneously considers multiple structural and functional network characteristics, and to examine differences in network type membership by sociodemographic characteristics, health characteristics, and birth cohort. RESEARCH DESIGN AND METHODS: Participants included 5,192 adults aged 57-85 years in the National Social Life, Health, and Aging Project at rounds 1 (2005-2006) and 3 (2015-2016). Data were collected on social relationships including network size, diversity, frequency of contact, and perceived support and strain in relationships. We used latent class analysis to derive the network typology and multinomial logistic regression to examine differences in network type membership by sociodemographic characteristics, health characteristics, and birth cohort. RESULTS: Older adults were classified into 5 distinct social network types: (i) large, with strain; (ii) large, without strain; (iii) small, diverse, low contact; (iv) small, restricted, high contact; and (v) medium size and support. Membership in these network types varied by age, gender, marital status, race/ethnicity, education, mental health, and birth cohort. DISCUSSION AND IMPLICATIONS: Network typologies can elucidate the varied interpersonal environments of older adults and identify individuals who lack social connectedness on multiple network dimensions and are therefore at a higher risk of social isolation.

Examination of a Composite Walking Measure on Cognitive Functioning Among Participants in the Chicago Health and Aging Project.

This study examined the relationship between walking and cognitive function among Chicago Health and Aging Project participants. Data collection occurred during six 3-year cycles, of which Cycles 4-6 were used for this specific analysis. Information was obtained regarding walking frequency and duration, demographics, chronic conditions, cognitive activities, apolipoprotein E4, physical function, and cognitive function (global and domains). A composite walking measure was developed and categorized as follows: no walking, ≤105 min/week, and >105 min/week. Mixed-effects regression analyses tested associations between walking and global cognitive function, episodic memory, and perceptual speed. The sample consisted of 4,320 participants (African American/Black: 65%; female: 65%; mean education: 13 years; mean age: 75 years). Composite or total walking had a statistically significant association with global cognitive function and perceptual speed, after adjustments were made.

Grandparenthood and risk of mortality: Findings from the Health and Retirement Study.

Grandparenthood constitutes a significant role for older adults and may have important health implications. Our study examines the grandparenthood-mortality nexus, controlling for an array of potentially confounding variables. Longitudinal survey data from the Health and Retirement Study (HRS) were used, comprising twelve biennial waves from 1992 to 2014 with linked data on vital status derived from the National Death Index. The sample included 27,463 participants aged ≥51 years with at least one child. Cox proportional hazard models tested the association between grandparenthood and mortality risk with adjustment for socio-demographic variables, for social variables including characteristics of and contact with children, and for health variables, including measures of general, functional and mental health. Grandparenthood overall was unassociated with mortality risk in both women and men. However, the subpopulation of younger, partnered grandmothers with a larger number of grandchildren tended to exhibit a substantial increase in mortality risk as compared to women without grandchildren.

Multimorbidity and the Transition Out of Full-Time Paid Employment: A Longitudinal Analysis of the Health and Retirement Study.

OBJECTIVES: This study aims to examine whether older workers aged 50-64 years with multimorbidity are at increased risk to transition from full-time paid employment to part-time employment, partial retirement, unemployment, disability, economic inactivity, full retirement or die than workers without a chronic health condition and workers with one chronic health condition, and whether socioeconomic position (SEP) modifies these transitions. METHOD: Using data from the Health and Retirement Study (1992-2014; n = 10,719), sub-distribution hazard ratios with 95% confidence intervals were calculated with a time-varying Fine and Gray competing-risks survival regression model to examine exit from full-time paid employment. We investigated the modifying effect of SEP by examining its interaction with multimorbidity. RESULTS: Workers with multimorbidity had a higher risk of transitioning to partial retirement (1.45; 1.22, 1.72), disability (1.84; 1.21, 2.78) and full retirement (1.63; 1.47, 1.81), and they had a higher mortality risk (2.58; 1.71, 3.88) than workers without chronic disorders. Compared to workers with one chronic health condition, workers with multimorbidity had an increased risk for partial (1.19; 1.02, 1.40) and full retirement (1.29; 1.17, 1.42), and mortality (1.49; 1.09, 2.04). Only SEP measured as educational level modified the relationship between multimorbidity and mortality. DISCUSSION: Workers with multimorbidity seem more prone to leave full-time paid employment than workers without or with one a chronic health condition. Personalized work accommodations may be necessary to help workers with multimorbidity prolong their working life.

The Association of Comorbid Depression and Anxiety Symptoms With Disability Onset in Older Adults.

OBJECTIVE: Despite the high prevalence of late-life depression and anxiety at threshold and subthreshold levels, their joint role in the disablement process remains unclear. This study aims to examine the association of comorbid occurring depression and anxiety across the full spectrum of symptom severity with disability onset in older adults. METHODS: The study included 3663 participants from the 2011 National Health and Aging Trends Study, who reported no limitations in self-care and mobility activities at baseline. Disability onset was defined as a report of receiving help from another person in any of the activities for 3 consecutive months. Depression and anxiety symptoms were measured using the four-item Patient Health Questionnaire, grouped into low, mild, and moderate/severe symptom groups. Cox proportional hazards models were used to estimate relative risks for disability onset over a 5-year period by depression/anxiety symptom groups. RESULTS: A total of 1047 participants developed disability (24.6%; 6.0 per 1000 person-months). At baseline, one-fifth of the sample reported symptoms that were mild (n = 579 [14.9%]; 31.6% with disability onset) or moderate/severe (n = 156 [4.2%]; 38.1% with disability onset). After adjustment for sociodemographics, there was a dose-response relationship between depression/anxiety symptom groups and disability onset (mild versus low: hazard ratio [HR] = 1.43, 95% confidence interval [CI] = 1.20-1.70; moderate/severe versus low: HR = 1.94, 95% CI = 1.45-2.59). The increased risk remained significant after adjustment for health status variables for the mild symptom group (HR = 1.26, 95% CI = 1.07-1.49), but not for the moderate/severe symptom group (HR = 1.30, 95% CI = 0.94-1.79), possibly reflecting lower statistical power. CONCLUSIONS: Findings suggest that the full spectrum of depression and anxiety symptoms are associated with increased risk for disability in late life. Their role in the disablement process warrants further investigation.

Racial and Ethnic Differences in Disability Transitions Among Older Adults in the United States.

BACKGROUND: Racial and ethnic differences in disability persist and are possibly widening in recent years, but evidence is limited for racial and ethnic differences in disability progression through the entire disablement process and potential influential factors. The objective of this study is to examine racial and ethnic differences in patterns of late-life disability transitions, using a new disability spectrum that incorporates successful accommodation with assistive devices in response to capacity limitations to prolong independence. METHODS: The study cohort consisted of a nationally representative sample of Medicare beneficiaries aged 65 and older in the United States who were enrolled in the 2011 National Health and Aging Trends Study and followed up annually until 2015 (n = 6,198). First-order Markov transition models were used to determine racial/ethnic differences in transitions among three stages of self-care and mobility limitations (fully able, successful accommodation, difficulty/assistance) and death. RESULTS: After adjustment for age and sex, non-Hispanic Black and Hispanic respondents had higher probabilities of unfavorable transitions and lower probabilities of remaining in the successful accommodation stage than non-Hispanic White respondents. The racial and ethnic differences in probabilities of maintaining successful accommodation remained statistically significant after adjustment for socioeconomic and health factors (Black: 0.56, 95% CI = 0.52-0.60; Hispanic: 0.53, 95% CI = 0.44-0.61; White: 0.63, 95% CI = 0.61-0.65). CONCLUSIONS: Successful accommodation with assistive devices may provide possibilities for implementing interventions to enhance older adults' capacities and reducing racial/ethnic differences in late-life disability.

Correction to: The impact of low education and poor health on unemployment varies by work life stage.

During the calculation of the physical component score and the mental component score, the score of the RAND 1 was erroneously coded in the opposite direction. After correcting this mistake, the interaction between low education and poor physical health on unemployment in early work life becomes statistically significant.

Mental health outcomes among Arab refugees, immigrants, and U.S. born Arab Americans in Southeast Michigan: a cross-sectional study.

BACKGROUND: Arab refugees and immigrants living in the United States may be exposed to political, economic, social, and environmental stressors that may affect their mental health. Yet, little is known regarding mental health outcomes among Arab Americans. The purpose of this study was to measure depression and anxiety levels among Arabs in Southeast Michigan and determine whether these levels differ by resident status: refugee, immigrant, or U.S. born. METHODS: We conducted a cross-sectional study in a convenience sample of 275 adults who self-identify as Arab living in Southeast Michigan. Participants were recruited from a non-profit health and social services organization between August-November 2015. Data were collected via self-administered questionnaires, using standardized instruments to assess depression and anxiety symptoms. RESULTS: All three resident groups exhibited high mean levels of depression and anxiety. Refugees reported higher levels of depression and anxiety than either immigrants or U.S. born Arab Americans. After adjustment for sociodemographics, differences between U.S. born Arab Americans and refugees were statistically significant for depression (b = 2.84; 95% CI: 0.21, 5.47), but not for anxiety. Refugees had significantly higher depression scores (b = 3.18, 95% CI: 1.52, 4.84) and anxiety scores (b = 1.31, 95% CI: 0.11, 2.50) than immigrants. Those reporting political violence and religious persecution as reasons for immigration had the highest levels of depression and anxiety. CONCLUSIONS: This convenience sample of Arab Americans reported high levels of depression and anxiety symptoms. Refugees appear to have poorer mental health outcomes than either immigrants or U.S.-born Arab Americans.

Effects of social network diversity on mortality, cognition and physical function in the elderly: a longitudinal analysis of the Chicago Health and Aging Project (CHAP).

BACKGROUND: Having a larger social network has been shown to have beneficial effects on health and survival in adults, but few studies have evaluated the role of network diversity, in addition to network size. We explore whether social network diversity is associated with mortality, cognition and physical function among older black and white adults. METHODS: Data are obtained from the Chicago Health and Aging Project, a longitudinal, population-based study of adults aged 65 years and older at baseline. Using Cox proportional hazards regression, we estimate the hazard of mortality by network diversity (n=6497). The association between network diversity and cognition (n=6560) and physical function (n=6561) is determined using generalised estimating equations. Models were adjusted for age, gender, race, socioeconomic status, marital status and health-related variables. RESULTS: In fully adjusted models, elderly with more diverse social networks had a lower risk of mortality (HR=0.93, p<0.01) compared with elderly with less diverse networks. Increased diversity in social networks was also associated with higher global cognitive function (coefficient=0.11, p<0.001) and higher physical function (coefficient=0.53, p<0.001). CONCLUSIONS: Social networks are particularly important for older adults as they face the greatest threats to health and depend on network relationships, more than younger individuals, to meet their needs. Increasing diversity, and not just increasing size, of social networks may be essential for improving health and survival among older adults.

Association of a Negative Wealth Shock With All-Cause Mortality in Middle-aged and Older Adults in the United States.

Importance: A sudden loss of wealth-a negative wealth shock-may lead to a significant mental health toll and also leave fewer monetary resources for health-related expenses. With limited years remaining to regain lost wealth in older age, the health consequences of these negative wealth shocks may be long-lasting. Objective: To determine whether a negative wealth shock was associated with all-cause mortality during 20 years of follow-up. Design, Setting, and Participants: The Health and Retirement Study, a nationally representative prospective cohort study of US adults aged 51 through 61 years at study entry. The study population included 8714 adults, first assessed for a negative wealth shock in 1994 and followed biennially through 2014 (the most recent year of available data). Exposures: Experiencing a negative wealth shock, defined as a loss of 75% or more of total net worth over a 2-year period, or asset poverty, defined as 0 or negative total net worth at study entry. Main Outcomes and Measures: Mortality data were collected from the National Death Index and postmortem interviews with family members. Marginal structural survival methods were used to account for the potential bias due to changes in health status that may both trigger negative wealth shocks and act as the mechanism through which negative wealth shocks lead to increased mortality. Results: There were 8714 participants in the study sample (mean [SD] age at study entry, 55 [3.2] years; 53% women), 2430 experienced a negative wealth shock during follow-up, 749 had asset poverty at baseline, and 5535 had continuously positive wealth without shock. A total of 2823 deaths occurred during 80 683 person-years of follow-up. There were 30.6 vs 64.9 deaths per 1000 person-years for those with continuously positive wealth vs negative wealth shock (adjusted hazard ratio [HR], 1.50; 95% CI, 1.36-1.67). There were 73.4 deaths per 1000 person-years for those with asset poverty at baseline (adjusted HR, 1.67; 95% CI, 1.44-1.94; compared with continuously positive wealth). Conclusions and Relevance: Among US adults aged 51 years and older, loss of wealth over 2 years was associated with an increased risk of all-cause mortality. Further research is needed to better understand the possible mechanisms for this association and determine whether there is potential value for targeted interventions.