Linkage between Neighborhood Social Cohesion and BMI of South Asians in the Masala Study.

Introduction. South Asians in the United States have a high prevalence of obesity and an elevated risk for cardiometabolic diseases. Yet, little is known about how aspects of neighborhood environment influence cardiometabolic risk factors such as body mass index (BMI) in this rapidly growing population. We aimed to investigate the association between perceived neighborhood social cohesion and BMI among South Asians. Methods: We utilized cross-sectional data from the MASALA study, a prospective community-based cohort of 906 South Asian men and women from the San Francisco Bay area and the greater Chicago area. Multivariable linear regression models, stratified by sex, were used to examine the association between perceived level of neighborhood social cohesion and individual BMI after adjusting for sociodemographics. Results: Participants were 54% male, with an average age of 55 years, 88% had at least a bachelor's degree, and the average BMI was 26.0 kg/m2. South Asian women living in neighborhoods with the lowest social cohesion had a significantly higher BMI than women living in neighborhoods with the highest cohesion (ß coefficient = 1.48, 95% CI 0.46-2.51, p=0.02); however, the association was not statistically significant after adjusting for sociodemographic factors (ß coefficient = 1.48, 95% CI 0.46-2.51, p=0.02); however, the association was not statistically significant after adjusting for sociodemographic factors (. Conclusion: Perceived neighborhood social cohesion was not significantly associated with BMI among South Asians in our study sample. Further research is recommended to explore whether other neighborhood characteristics may be associated with BMI and other health outcomes in South Asians and the mechanisms through which neighborhood may influence health.

Impact of Heart Disease Risk Factors, Respiratory Illness, Mastery, and Quality of Life on the Health Status of Individuals Living Near a Major Railyard in Southern California.

The potential health risks for communities that surround railyards have largely been understudied. Mastery and quality of life (QoL) have been associated with self-reported health status in the general population, but few studies have explored this variable among highly vulnerable low-income groups exposed to harmful air pollutants. This study investigates the relationship between self-reported health status and correlates of Heart Disease Risk Factors (HDRF) and Respiratory Illness (RI) with mastery and QoL acting as potential protective buffers. This cross-sectional study of 684 residents residing near a Southern California railyard attempts to address this limitation. Results from three separate hierarchal linear regressions showed that those who reported being diagnosed with at least one type of HDRF and/or RI reported lower perceived health status. For those that lived further from the railyard, mastery and QoL predicted modest increases in perceived health status. Results suggest that mastery and QoL may be helpful as tools in developing interventions but should not solely be used to assess risk and health outcomes as perceived health status may not measure actual health status.

Conflicting Cultural Values, Gender Role Attitudes, and Acculturation: Exploring the Context of Reproductive and Mental Health of Asian-Indian Immigrant Women in the US.

Asian-Indians, one of the fastest growing US immigrant groups, experience depression and anxiety, particularly among women. In this mixed-methods study, quantitative (n = 217) and qualitative (n = 36) data explored egalitarian vs. traditional views regarding women's roles and rights. Bicultural integration, family planning decision-making ability, and anxiety were associated with more egalitarian views, while Punjabi language preference, depression, and more births were associated with traditional views. Health care professionals serving this population need to be aware of the potential cultural values conflicts and gender role expectations that influence decisions around reproductive health and mental health care for Asian-Indian immigrant women.

Mental Health and Sociocultural Determinants in an Asian Indian Community.

In a US population of adult male and female Sikh immigrant participants (N = 350), we explored sociocultural factors related to depression, giving participants a choice between English or Punjabi surveys. Language preference pointed to a subgroup with higher levels of depression and lower satisfaction with life. Underreporting of depression suggests a general reluctance to discuss depression. While multiple sociocultural variables were associated with depression bivariably, multivariate analysis identified negative religious coping and anxiety as unique predictors of depression. Community interventions should tap into the protective close-knit social fabric of this community as an opportunity to change the stigma of mental health.

Depression, a Hidden Mental Health Disparity in an Asian Indian Immigrant Community.

Cultural influences are deeply rooted, and continue to affect the lives of Asian-Indian (AI) immigrants living in Western culture. Emerging literature suggests the powerful nature of traditions and culture on the lives, mental and physical health of AI immigrants, particularly women. The purpose of this study was to explore depression among AI women in Central California (CC). This mixed-methods research was conducted in collaboration with the CC Punjabi community and the support of local religious leaders. All interviews were conducted in Punjabi and English. Whenever possible we utilized validated scales aligned with emerging themes from the qualitative data, which also provided contextualization to survey responses. In all we conducted 11 key informant interviews, four focus groups (n = 47) and a rigorously developed anonymous survey (n = 350). Social dynamics and traditional expectations including gendered roles significantly affected mental health among women participants. Subgroups along the lines of language choice (Punjabi vs. English) experience and report depression differently in part due to the highly stigmatized nature of mental health issues in this model minority community. The findings of this study highlight the importance of utilizing mixed methods to access hard to reach populations regarding sensitive topics such as mental health.