The impact of accredited social health activists in India on uptake of modern contraception: A nationally representative multilevel modelling study.

The government of India introduced the Accredited Social Health Activist (ASHA) programme in 2006 to connect marginalised communities to the health system. ASHAs are mandated to increase the uptake of modern contraception through the doorstep provision of services. There is currently no evidence on the impact of ASHAs on the uptake of contraception at the national level. This paper examines the impact of ASHAs on the uptake of modern contraception using nationally representative National and Family Health Survey data collected in 2019-21 in India. A multilevel logistic regression analysis was performed to determine the effect of contact with ASHAs on the uptake of modern contraception, controlling for regional variability and socio-demographic variables. The data provide strong evidence that ASHAs have succeeded in increasing modern contraceptive use. Women exposed to ASHAs had twice the odds of being current users of modern contraception compared to those with no contact, even after controlling for household and individual characteristics. However, only 28.1% of women nationally reported recent contact with ASHA workers. The ASHA programme should remain central to the strategy of the government of India and should be strengthened to achieve universal access to modern contraception and meet sustainable development goals by 2030.

Young adults' work-family life courses and mental health trajectories from adolescence to young adulthood: a TRAILS study.

PURPOSE: Work-family life courses have been associated with mental health at various time points in life but little is known about how mental health develops during these work-family life courses. The aim of this study was to examine mental health trajectories from adolescence to young adulthood in women and men with different work-family life courses. METHODS: Data from 992 young adults participating in the 18-year follow-up TRacking Adolescents' Individual Lives Survey (TRAILS) were used. Work-family life courses from ages 18 to 28 years were previously constructed using sequence analysis. For each work-family life course, trajectories of internalising and externalising problems from ages 11 to 29 years were estimated using a multi-group random intercept growth model. Differences in mental health trajectories were examined across work-family life courses. RESULTS: For women, trajectories of internalising and externalising problems in young adulthood differed significantly between work-family life courses (p = 0.037 and p < 0.001, respectively). Women in the inactive work-family life course reported the highest scores of internalising and externalising problems during the entire young adulthood but the differences in mental health scores became most pronounced at age 29. Trajectories of internalising and externalising problems of men did not significantly differ between the work-family life courses. CONCLUSION: Mental health trajectories differed between women depending on their work-family life course. In men, differences between work-family life courses were less pronounced. Future studies should examine which work-family events and transitions captured in work-family life courses are associated with subsequent mental health problems during longer follow-up.

Diverging death risks: Mortality as a corollary of economic, social, cultural and person capital.

Introduction: Diverging death risks are associated with a wide range of social factors, including not only education and income but also other economic and non-economic resources. The aim of this study was to assess the association of mortality risks with four types of resources: economic, social, cultural and person capital. Methods: We used data of 2,952 participants from the Disparities in the Netherlands survey and annual mortality data from Statistics Netherlands for the period 2014 to 2021. Economic capital was measured through education, income, occupation, home equity, and liquid assets. Social capital was measured by the strength of social ties, the size of the core discussion network, and access to people in resourceful positions; cultural capital by lifestyle, digital skills, and mastery of English, and person capital by self-rated health, impediments to climbing stairs, self-confidence, self-image, people's appearance, and body mass index. To accommodate the fact that each capital was derived from several indicators, we used Partial Least Squares (PLS) Cox Regression. Results: In multiple regression, higher economic, cultural, and person capital were associated with lower mortality (hazard ratio, 0.77; 95% confidence interval [CI, 0.65 to 0.90], 0.77 [0.64-0.93] and 0.80; [0.70-0.92]), adjusted for all capital measures and sex. Conclusion: The finding that more economic, cultural and person capital is associated with lower mortality provides empirical support for an approach that uses a broad spectrum of capital measures - hitherto rarely included simultaneously in epidemiological research - in order to understand diverging death risks. By integrating sociological concepts, cohort data, and epidemiological research methods, our study highlights the need for further research on the interplay between different forms of resources in shaping health inequalities. In designing public health interventions, we advocate the adoption of a multidimensional capital-based framework for tackling social disparities in mortality.

Longitudinal impact of volunteering on the cognitive functioning of older adults: A secondary analysis from the US Health and Retirement Study.

Objectives: To examine the relationship of volunteering with cognitive activity, social activity, and physical activity among older adults and, ultimately, with later cognitive functioning across different time periods. Methods: We used individual responding to three waves of the US Health and Retirement Study panel data from 2008, 2012, and 2016 (n = 2,862). Self-reported questionnaires were used to assess annual volunteering frequency (non volunteering, volunteering <100 h and ≥100 h), and an adapted version of the Telephone Interview for Cognitive Status (TICS) was used to assess memory, mental processing, knowledge, language, and orientation. A structural equation model was estimated to assess effects on cognitive functioning throughout waves. Results: Those participants that were part of volunteering activities in 2012 showed an increase between 2008 and 2012 in moderate physical activity (ß = 0.19, P < 0.001 for those volunteering less than 100 h and ß = 0.21, P < 0.001 for those volunteering at least 100 h), increase in social activity (ß = 0.10, P = 0.052 for those volunteering less than 100 h and ß = 0.12, P = 0.018 for those volunteering at least 100 h) and increase in higher cognitive activity (ß = 0.13, P < 0.001 for those volunteering at least 100 h), compared to participants who did not volunteer. Higher levels of cognitive activity in 2008 and 2012 were associated with higher cognitive functioning on the following waves (ß = 0.66 and ß = 0.60, P < 0.001, respectively). Discussion: Volunteering is a modifiable activity that can be increased to bolster cognitive functioning in older adulthood, primarily mediated by increased cognitive activity.

Impact of trajectories of maternal postpartum depression on infants' socioemotional development.

BACKGROUND: We assessed (a) the effects of postpartum depression (PPD) trajectories until 6 months postpartum on infants' socioemotional development (SED) at age 12 months, and (b) the mediating role of maternal self-efficacy (MSE), and the additional effect of postpartum anxiety at age 12 months. METHODS: We used data from POST-UP trial (n = 1843). PPD was assessed using the Edinburgh Postnatal Depression Scale (EPDS) at 1, 3, and 6 months. Infants' SED was assessed at 12 months using the Ages and Stages Questionnaire-Social-Emotional (ASQ-SE). Structural equations were applied to estimate the effect of PPD trajectories on infants' SED and mediation by MSE. The additional effects of postpartum anxiety were assessed with conditional regression. RESULTS: Higher levels of PPD over time were associated with a lower SED (coefficient for log-EPDS 3.5, 95% confidence interval 2.8; 4.2, e.g., an increase in the EPDS score from 9 to 13 worsens the ASQ-SE by 1.3 points). About half of this relationship was mediated by MSE. Postpartum anxiety had an independent adverse effect on SED. CONCLUSIONS: PPD and postpartum anxiety have a negative impact on infants' SED. MSE as a mediator may be a potential target for preventive interventions to alleviate the negative effects of maternal psychopathology on infants' SED. IMPACT: The trajectories of postpartum depression (PPD) from 1 month to 6 months were negatively related to infants' socioemotional development (SED) at age 12 months, underlining the importance of repeated assessment of PPD. Maternal self-efficacy (MSE) mediated the association between PPD and SED, implying MSE could be a potential target for preventive interventions. An additional independent negative effect of postpartum anxiety was identified, implying the assessment of postpartum anxiety also has a surplus value to identify mothers at risk.

Trajectories of cognitive symptoms and associated factors in cancer survivors after return to work: an 18-month longitudinal cohort study.

PURPOSE: Cognitive symptoms affect cancer survivors' functioning at work. To date, cognitive symptoms trajectories in working cancer survivors and the factors associated with these trajectories have not been examined. METHODS: Data from a heterogeneous group of working cancer survivors (n = 379) of the longitudinal "Work-Life-after-Cancer" study, linked with Netherlands Cancer Registry data, were used. The Cognitive Symptom Checklist-Work was administered at baseline (within the first 3 months after return to work), 6-, 12-, and 18-month follow-up to measure self-perceived memory and executive function symptoms. Data were analyzed using group-based trajectory modeling. RESULTS: Four trajectories of memory and executive function symptoms were identified. All memory symptoms trajectories were stable and labeled as "stable-high" (15.3% of the sample), "stable-moderately high" (39.6%), "stable-moderately low" (32.0%), and "stable-low" (13.0%). Executive function symptoms trajectories changed over time and were labeled as "increasing-high" (10.1%), "stable-moderately high" (32.0%), "decreasing-moderately low" (35.5%), and "stable-low" (22.4%). Higher symptoms trajectories were associated with older age, longer time from diagnosis to return to work, more quantitative work demands, and higher levels of depressive symptoms at baseline. CONCLUSIONS: In cancer survivors who returned to work, four cognitive symptoms trajectory subgroups were identified, representing different but relatively stable severity levels of cognitive symptoms. IMPLICATIONS FOR CANCER SURVIVORS: To identify cancer survivors with higher symptoms trajectories, health care providers should assess cognitive symptoms at baseline after return to work. In case of cognitive symptoms, it is important to also screen for psychological factors to provide appropriate guidance.

A capital-based approach to better understand health inequalities: Theoretical and empirical explorations.

Background: The persistence of health inequalities may be driven by differences in education and income, but also by other economic and non-economic factors. Our aim was to explore how the association between single-dimensional health and socioeconomic status (SES) changes when including health-related person capital, economic capital, social capital, cultural capital and attractiveness and personality capital. Methods: We used a capital-based approach to understand health inequalities. It presumes intertwined relationships between broadly measured health ('health-related person capital') and embodied resources ('attractiveness and personality capital') on the one hand, and ESC capital, i.e., economic, social, and cultural resources on the other. We used cross-sectional data on 152,592 participants from the Dutch Lifelines cohort study and estimated correlations using partial least squares structural equation modelling. Results: The correlation between SES and health-related person capital (r = 0.15) was stronger than the correlations between SES and single-dimensional health (physical and mental health; r = 0.12 and r = 0.04, respectively). ESC capital, combining economic, social and cultural capital, showed a correlation of 0.34 with health-related person capital. This was stronger than the correlation between health-related person capital and economic capital alone (r = 0.19). Lastly, the correlation between health-related person capital and ESC capital increased when health related, attractiveness and personality resources were combined into a single person capital construct (from r = 0.34 to r = 0.49). Conclusions: This exploratory study shows the empirical interconnectedness of various types of resources, and their potential role in the persistence of health inequalities. Our findings corroborate the idea of considering health as a multidimensional concept, and to extend conventional SES indicators to a broader measurement of economic and non-economic resources.

Trajectories of stressful life events and long-term changes in mental health outcomes, moderated by family functioning? the TRAILS study.

PURPOSE: We assessed the association between trajectories of stressful life events (SLEs) throughout adolescence and changes in mental health from childhood to young adulthood. Further, we assessed whether family functioning moderated this association. METHODS: Data of the first six waves of the TRAILS study (2001-2016; n = 2229) were used, a cohort followed from approximately age 11 to 23. We measured SLEs (death of a family member or other beloved one, delinquency, moving, victim of violence, parental divorce, and sexual harassment) at ages 14, 16 and 19. Family functioning was measured at all six time points using the Family Assessment Device (FAD), and mental health was measured through the Youth/Adult Self-Report at ages 11 and 23. Latent class growth analyses (LCGA) were used to examine longitudinal trajectories and associations. RESULTS: We identified three SLE trajectories (low, middle, high) throughout adolescence, and found no significant associations between these trajectories and changes in mental health from childhood to young adulthood. Family functioning and SLE trajectories were significantly associated, however, the association of SLE trajectories and changes in mental health was not modified by family functioning. Mental health problems at age 11 increased the likelihood of high SLE trajectories during adolescence, and of experiencing negative family functioning. CONCLUSION: Experiencing SLEs throughout adolescence does not have a direct impact on changes in mental health from childhood to young adulthood, but early adolescence mental health problems increase the likelihood of experiencing SLEs.

Increases in symptoms of depression and anxiety in adults during the initial phases of the COVID-19 pandemic are limited to those with less resources: Results from the Lifelines Cohort Study.

BACKGROUND: The COVID-19 pandemic may have a differential impact on mental health based on an individual's capital, i.e. resources available to maintain and enhance health. We assessed trajectories of depression and anxiety symptoms, and their association with different elements of capital. METHODS: Data on 65,854 individuals (mean baseline age = 50·4 (SD = 12·0) years) from the Lifelines COVID-19 cohort were used. Baseline mental health symptoms were on average measured 4.7 (SD = 1·1) years before the first COVID-19 measurement wave, and subsequent waves were (bi)weekly (March 30─August 05, 2020). Mental health symptom trajectories were estimated using a two-part Latent Class Growth Analysis. Class membership was predicted by economic (education, income, and occupation) and person capital (neuroticism, poor health condition, and obesity) FINDINGS: Most individuals were unlikely to report symptoms of depression (80·6%) or anxiety (75·9%), but stable-high classes were identified for both conditions (1·6% and 6·7%, respectively). The stable-high depression class saw the greatest increase in symptoms after COVID, and the stable-high anxiety class reported an increase in the probability of reporting symptoms after COVID. At the first COVID-measurement, the mean number of symptoms increased compared to baseline (depression:4·7 vs 4·1; anxiety:4·3 vs 4·2); the probability of reporting symptoms also increased (depression:0·96 vs 0·65; anxiety:0·92 vs 0·70). Membership in these classes was generally predicted by less capital, especially person capital; odds ratios for person capital ranged from 1·10-2·22 for depression and 1·08-1·51 for anxiety. INTERPRETATION: A minority of individuals, possessing less capital, reported an increase in symptoms of depression or anxiety after COVID. FUNDING: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Multiple health risk behaviors and mental health from a life course perspective: The Dutch TRAILS study.

We examined trajectories of multiple health risk behavior (MHRB) patterns throughout adolescence, and changes in mental health from childhood to young adulthood. Further, we assessed how continuity or onset of MHRBs overall were associated with subsequent changes in mental health, and whether this varied by type of MHRBs. We used six waves of the prospective Dutch TRAILS study (2001-2016; n = 2229), covering ages 11 until 23. We measured MHRBs (substance use: alcohol misuse, cannabis use, smoking; and obesity-related: overweight, physical inactivity, irregular breakfast intake) at three time points during adolescence. We assessed mental health as Youth/Adult Self-report total problems at ages 11 and 23. Latent class growth analyses and ANOVA were used to examine longitudinal trajectories and associations. We identified six developmental trajectories for the total of MHRBs and mental health. Trajectories varied regarding likelihood of MHRBs throughout adolescence, mental health at baseline, and changes in mental health problems in young adulthood. We found no associations for the continuity of overall MHRBs throughout adolescence, and neither for early, mid- or late onset, with changes in mental health problems in young adulthood. However, continuity of MHRBs in the obesity-related subgroup was significantly associated with an increase in mental health problems. Adolescents with the same MHRB patterns may, when reaching adulthood, have different levels of mental health problems, with mental health at age 11 being an important predictor. Further, involvement with obesity-related MHRBs continuously throughout adolescence is associated with increased mental health problems in young adulthood.

Care improves self-reported daily functioning of adolescents with emotional and behavioural problems.

Emotional and behavioural problems (EBP) have a negative impact on various life domains of adolescents. Receiving care for EBP may improve the functioning of adolescents with EBP, but evidence on long-term outcomes in real-life settings is lacking. We, therefore, investigated self-reported functioning in different life domains of adolescents with various EBP, and the role of care during a three-year period. We used data from the TAKECARE study, which consist of a care and community cohort. We followed adolescents aged 12 and over (n = 733) during 3 years over five assessment rounds. Using the Strengths and Difficulties Questionnaire, self-reported functioning was measured in four life domains: home life, friendships, classroom learning and leisure activities. We categorized the respondents into four groups: (1) adolescents without emotional and behavioural problems (n = 298); (2) adolescents with emotional problems (n = 192); (3) adolescents with behavioural problems (n = 80); and (4) adolescents with both emotional and behavioural problems (n = 163). The development of functioning over time was analyzed using longitudinal ordinal (probit) regression analyses. Adolescents with both emotional and behavioural problems reported poorer functioning at baseline in all domains and adolescents who received care reported poorer functioning at baseline compared to adolescents who did not receive care. Regarding the change in functioning during the 3 years, adolescents who received care showed improved functioning in all domains. We found improved functioning after care, even if the problems may not have been solved. Psychosocial care can contribute to the functioning of adolescents with EBP, which can have major effects on their future life.

Adolescents' mental health problems increase after parental divorce, not before, and persist until adulthood: a longitudinal TRAILS study.

Parental divorce is one of the most stressful life events for youth and is often associated with (long-lasting) emotional and behavioral problems (EBP). However, not much is known about the timing of the emergence of these EBP in adolescents relative to the moment of parental divorce, and its longitudinal effects. We therefore assessed this timing of EBP in adolescents of divorce and its longitudinal effects. We used the first four waves of the TRacking Adolescent's Individual Lives Survey (TRAILS) cohort, which included 2230 10-12 years olds at baseline. EBP were measured through the Youth Self-Report (YSR), as internalizing and externalizing problems. We applied multilevel analysis to assess the effect of divorce on EBP. The levels of both internalizing and externalizing problems were significantly higher in the period after parental divorce (ß = 0.03, and 0.03, respectively; p < 0.05), but not in the period before divorce, with a persistent and increasing effect over the follow-up periods compared to adolescents not experiencing divorce. Adolescents tend to develop more EBP in the period after parental divorce, not before. These effects are long-lasting and underline the need for better care for children with divorcing parents.

Socioeconomic Health Inequalities in Adolescent Metabolic Syndrome and Depression: No Mediation by Parental Depression and Parenting Style.

We assessed to what extent parental depression and parenting style mediate the relationships between different measures of parental socioeconomic status (SES) and both depression and metabolic syndrome (MetS) in adolescents, and whether sex moderates these mechanisms. Data were from the prospective multigenerational Dutch Lifelines Cohort Study. Our sample consisted of 1217 adolescents with an average follow-up of 33.3 (SD = 7.33) months and a median baseline age of 13 (IQR:13-14) years. We used structural equation models to assess the direct and indirect effects of SES on baseline and changes at follow-up in both depression and MetS, and to assess moderation by sex. For each additional year of education, continuous MetS scores were 0.098 (95%CI: 0.020; 0.184) units lower at baseline and decreased 0.079 (95%CI: 0.004; 0.158) units at follow-up. No other direct or indirect effects of SES were found, and there was no moderation by sex. Additionally, warmer parenting style was generally associated with more favorable outcome scores. Therefore, improving parenting style may improve health for all adolescents. However, in this study parental depression and parenting style did not account for adolescent socioeconomic health inequalities. This may be partly due to good access to social services within the Netherlands.

Do Uncontrolled Hypertension, Diabetes, Dyslipidemia, and Obesity Mediate the Relationship Between Health Literacy and Chronic Kidney Disease Complications?

Health literacy is the ability to deal with information related to one's health. Patients with low health literacy and chronic diseases, such as chronic kidney disease (CKD), have poor disease-management skills, which could lead to complications. We used logistic regressions and structural equational modeling to assess whether low health literacy is associated with the development of cardiovascular disease and mortality in patients with CKD, and whether this association is mediated by the presence of uncontrolled hypertension, diabetes, dyslipidemia, obesity, or albuminuria. Data from 2742 adult participants with CKD from the Lifelines study were analyzed at baseline and after approximately four years. Low health literacy was associated with cardiovascular disease and mortality in the crude models, with OR and 95%CI of 1.93 (1.46 to 2.55) and 1.59 (1.08 to 2.36), respectively. After adjustment for age and sex, low health literacy was only associated with cardiovascular disease (OR 1.76 (1.31 to 2.23)). This association was mediated by uncontrolled diabetes (27.1%) and obesity (8.0%). Low health literacy is associated with the development of cardiovascular disease after adjustment for age and sex, and this association is mediated by uncontrolled diabetes and obesity.

Mental Health and Quality of Life of Women One Year after Maternal Near-Miss in Low and Middle-Income Countries: The Case of Zanzibar, Tanzania.

Women who experienced a maternal near-miss are at risk of mental health complications and lower quality of life, but long-term consequences are largely unknown. The aim of this study is to assess whether mental health symptoms and quality of life change over time and to examine associations with risk factors among post-partum women. In this cohort study, women with maternal near-miss were matched to women without or with mild complications at Mnazi Mmoja Hospital in Zanzibar. Depressive and post-traumatic stress disorder symptoms, and quality of life were measured at three, six, and twelve-months follow-up. A linear mixed-effects model was used for data analysis. Postpartum women in Zanzibar reported low levels of depressive and post-traumatic stress disorder symptoms. While depressive symptoms and quality of life trajectories were similar among women with and without maternal near-miss, differences for trajectories of post-traumatic stress disorder symptoms and physical quality of life were found. Social support, perinatal loss, and intercurrent illness were strongly associated with both depressive symptoms and quality of life in this group of Islamic women. These findings suggest that social support, embedded in the cultural context, should be considered in helping women cope with mental health issues in the aftermath of severe maternal complications.

Variance constraints strongly influenced model performance in growth mixture modeling: a simulation and empirical study.

BACKGROUND: Growth Mixture Modeling (GMM) is commonly used to group individuals on their development over time, but convergence issues and impossible values are common. This can result in unreliable model estimates. Constraining variance parameters across classes or over time can solve these issues, but can also seriously bias estimates if variances differ. We aimed to determine which variance parameters can best be constrained in Growth Mixture Modeling. METHODS: To identify the variance constraints that lead to the best performance for different sample sizes, we conducted a simulation study and next verified our results with the TRacking Adolescent Individuals' Lives Survey (TRAILS) cohort. RESULTS: If variance parameters differed across classes and over time, fitting a model without constraints led to the best results. No constrained model consistently performed well. However, the model that constrained the random effect variance and residual variances across classes consistently performed very poorly. For a small sample size (N = 100) all models showed issues. In TRAILS, the same model showed substantially different results from the other models and performed poorly in terms of model fit. CONCLUSIONS: If possible, a Growth Mixture Model should be fit without any constraints on variance parameters. If not, we recommend to try different variance specifications and to not solely rely on the default model, which constrains random effect variances and residual variances across classes. The variance structure must always be reported Researchers should carefully follow the GRoLTS-Checklist when analyzing and reporting trajectory analyses.

Understanding the Improvement in Full Childhood Vaccination Coverage in Ethiopia Using Oaxaca-Blinder Decomposition Analysis.

In Ethiopia, full vaccination coverage among children aged 12-23 months has improved in recent decades. This study aimed to investigate drivers of the improvement in the vaccination coverage. The Oaxaca-Blinder decomposition technique was applied to identify the drivers using data from Ethiopian Demographic and Health Survey conducted in 2000 and 2016. The vaccination coverage rose from 14.3% in 2000 to 38.5% in 2016. The decomposition analysis showed that most of the rise in vaccination coverage (73.7%) resulted from the change in the effect of explanatory variables over time and other unmeasured characteristics. Muslim religion had a counteracting effect on the observed increase in vaccination coverage. The remaining 26.3% of the increase was attributed to the change in the composition of the explanatory variables between 2000 and 2016, with maternal educational level and maternal health care utilization as significant contributors. The findings highlight the need for further improvements in maternal health care utilization and educational status to maintain the momentum towards universal coverage of childhood vaccination. Targeted intervention among Muslim-dominated communities is also needed to improve the current situation. Besides which, future studies need to be conducted to identify additional potential modifiable factors.

Respirable Crystalline Silica Exposure, Smoking, and Lung Cancer Subtype Risks. A Pooled Analysis of Case-Control Studies.

Rationale: Millions of workers around the world are exposed to respirable crystalline silica. Although silica is a confirmed human lung carcinogen, little is known regarding the cancer risks associated with low levels of exposure and risks by cancer subtype. However, little is known regarding the disease risks associated with low levels of exposure and risks by cancer subtype.Objectives: We aimed to address current knowledge gaps in lung cancer risks associated with low levels of occupational silica exposure and the joint effects of smoking and silica exposure on lung cancer risks.Methods: Subjects from 14 case-control studies from Europe and Canada with detailed smoking and occupational histories were pooled. A quantitative job-exposure matrix was used to estimate silica exposure by occupation, time period, and geographical region. Logistic regression models were used to estimate exposure-disease associations and the joint effects of silica exposure and smoking on risk of lung cancer. Stratified analyses by smoking history and cancer subtypes were also performed.Measurements and Main Results: Our study included 16,901 cases and 20,965 control subjects. Lung cancer odds ratios ranged from 1.15 (95% confidence interval, 1.04-1.27) to 1.45 (95% confidence interval, 1.31-1.60) for groups with the lowest and highest cumulative exposure, respectively. Increasing cumulative silica exposure was associated (P trend < 0.01) with increasing lung cancer risks in nonsilicotics and in current, former, and never-smokers. Increasing exposure was also associated (P trend ≤ 0.01) with increasing risks of lung adenocarcinoma, squamous cell carcinoma, and small cell carcinoma. Supermultiplicative interaction of silica exposure and smoking was observed on overall lung cancer risks; superadditive effects were observed in risks of lung cancer and all three included subtypes.Conclusions: Silica exposure is associated with lung cancer at low exposure levels. An exposure-response relationship was robust and present regardless of smoking, silicosis status, and cancer subtype.

Diesel Engine Exhaust Exposure, Smoking, and Lung Cancer Subtype Risks. A Pooled Exposure-Response Analysis of 14 Case-Control Studies.

Rationale: Although the carcinogenicity of diesel engine exhaust has been demonstrated in multiple studies, little is known regarding exposure-response relationships associated with different exposure subgroups and different lung cancer subtypes.Objectives: We expanded on a previous pooled case-control analysis on diesel engine exhaust and lung cancer by including three additional studies and quantitative exposure assessment to evaluate lung cancer and subtype risks associated with occupational exposure to diesel exhaust characterized by elemental carbon (EC) concentrations.Methods: We used a quantitative EC job-exposure matrix for exposure assessment. Unconditional logistic regression models were used to calculate lung cancer odds ratios and 95% confidence intervals (CIs) associated with various metrics of EC exposure. Lung cancer excess lifetime risks (ELR) were calculated using life tables accounting for all-cause mortality. Additional stratified analyses by smoking history and lung cancer subtypes were performed in men.Measurements and Main Results: Our study included 16,901 lung cancer cases and 20,965 control subjects. In men, exposure response between EC and lung cancer was observed: odds ratios ranged from 1.09 (95% CI, 1.00-1.18) to 1.41 (95% CI, 1.30-1.52) for the lowest and highest cumulative exposure groups, respectively. EC-exposed men had elevated risks in all lung cancer subtypes investigated; associations were strongest for squamous and small cell carcinomas and weaker for adenocarcinoma. EC lung cancer exposure response was observed in men regardless of smoking history, including in never-smokers. ELR associated with 45 years of EC exposure at 50, 20, and 1 µg/m3 were 3.0%, 0.99%, and 0.04%, respectively, for both sexes combined.Conclusions: We observed a consistent exposure-response relationship between EC exposure and lung cancer in men. Reduction of workplace EC levels to background environmental levels will further reduce lung cancer ELR in exposed workers.

Social capital and health status: longitudinal race and ethnicity differences in older adults from 2006 to 2014.

OBJECTIVES: We examined the longitudinal associations of social capital on self-rated health and differences by race/ethnicity in older adults. METHODS: We used Health and Retirement Study, a nationally representative sample of US adults aged ≥ 50 years evaluated every 2 years (2006-2014) (N = 18,859). We investigated the relationship between social capital indicators (neighborhood social cohesion/physical disorder, positive/negative social support) with self-rated health accounting for age, gender, education and stratified by race/ethnicity. We used structural equation multilevel modeling estimating the associations: within-wave and between-persons. RESULTS: We observed between-persons-level associations among social capital indicators and self-rated health. Individuals with overall levels of positive social support and neighborhood social cohesion tended to have overall better self-rated health [correlations 0.21 (p < 0.01) and 0.29 (p < 0.01), respectively]. For Hispanics, the correlations with self-rated health were lower for neighborhood social cohesion (0.19) and negative social support (- 0.09), compared to Whites (0.29 and - 0.20). African-Americans showed lower correlations of positive social support (0.14) compared to Whites (0.21) and Hispanics (0.28). CONCLUSIONS: Interventions targeting social capital are in need, specifically those reinforcing positive social support and neighborhood social cohesion and diminishing neighborhood physical disorder and negative social support of older adults.