Pathways linking census tract typologies with subjective neighborhood disorder and depressive symptoms in the Black Women's Experiences Living with Lupus (BeWELL) Study.
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ABSTRACT:
SUBMITTER: Martz CD
PROVIDER: S-EPMC8328917 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Depression debilitates the lives of millions and is projected to be the second leading disease burden worldwide by 2020. At the population level, the causes of depression are found in the everyday social and physical environments in which people live. Research has shown that men and women often experience neighbourhood environments differently and that these variations are often reflected in health outcomes. The current study examines whether social and environmental correlates of depression are similar in men and women. This study examines whether (i) there are gender differences in the association between neighbourhood disadvantage and depressive symptoms, and (ii) dimensions of social capital and cohesion mediate these associations. Data come from the Montreal Neighbourhood Networks and Healthy Aging Study, which consists of a cluster stratified sample of Montreal census tracts (n(ct) = 300) and individuals within those tracts (ni = 2707). Depressive symptoms and social capital were measured with a questionnaire. Neighbourhood disadvantage was measured at the census tract level using data from the 2006 Canada Census. Multilevel logistic regression stratified by gender and a three-step mediation analysis procedure were used. Final sample size for these analyses was 2574 adults. Depressive symptoms had a prevalence of 17.3% in the overall sample. Disadvantage was associated with depressive symptoms in women only (OR = 1.25, 95% CI = 1.01-1.55). Perceived neighbourhood cohesion was shown to mediate the association of disadvantage and depressive symptoms in women (ab = 0.02; 95% CI = 0.003-0.04, p<0.05). Other socio-relational variables, specifically generalized trust and trust in neighbours were associated with depression in women but did not act as mediating variables. Health promotion initiatives meant to combat depression may wish to consider gender differences in the design and implementation of neighbourhood or peer-based programs.
| S-EPMC3798396 | biostudies-literature
Project description:ObjectiveThe study objective was to compare leukocyte telomere length (LTL) among patients with systemic lupus erythematosus (SLE) diagnosed in childhood versus adulthood.MethodsData are from the Black Women's Experiences Living with Lupus (BeWELL) study. Multivariable linear regression analyses that examined childhood diagnosis of SLE (diagnosed before 18 years of age), age, and their interaction in relationship to LTL were conducted, adjusting for a range of demographic, socioeconomic, and health-related covariates.ResultsThe total analytic sample size was 415. Forty participants (9.6%) were diagnosed in childhood. There was no main effect of childhood diagnosis on LTL (b = 0.007; 95% confidence interval [CI]: -0.089 to 0.103). However, the interaction between age and childhood diagnosis was significant (b = -0.008; 95% CI: -0.016 to -0.001), indicating a steeper inverse association between age and LTL among those diagnosed in childhood compared with those diagnosed in adulthood. This interaction remained statistically significant (P = 0.024) after controlling for disease duration measured dichotomously (less than 10 years vs. 10 years or more); it was marginally significant (P = 0.083) when controlling for disease duration measured continuously.ConclusionThis cross-sectional analysis suggests that Black women with childhood-onset SLE may undergo accelerated LTL shortening compared with their adult-onset counterparts. This relationship persisted even after controlling for differences in SLE damage and disease duration. These findings inform research on immunosenescence mechanisms of SLE.
| S-EPMC9096517 | biostudies-literature
Project description:To meet researchers' increasing interest in the fast growing innovation activities taking place in China, we match patents filed with China's State Intellectual Property Office to firms covered in China's Census. China has experienced a strong growth in patent filings over the past two decades, and has since 2011 become the world's top patent filing country. China's Census database covers about one million unique manufacturing firms from 1998-2009, representing the broad Chinese economy. We design data parsing and pre-processing routines to clean and stem firm and assignee names, create a matching algorithm that fits with our data and maintains a balance between matching accuracy and workload of manual check, and implement a systematic manual check process to filter out false positives generated from computerized matching. Our project generates 1,113,588 matches for the Census firms, among which 849,647 patents are uniquely matched. By creating the patent-firm linked dataset, we hope to reduce duplicative effort and encourage more research to better understand China's fast changing innovation landscape.
| S-EPMC5956277 | biostudies-literature
Project description:BackgroundSystemic lupus erythematosus (SLE) affects African-American (AA) women disproportionately. The few prospective studies assessing dietary intake in relation to risk of SLE have been conducted in predominantly white populations and have been null.ObjectivesThe present study assessed associations of macronutrients and dietary patterns with risk of SLE in AA women.MethodsData from the Black Women's Health Study was collected prospectively via biennial questionnaires starting in 1995. Participants completed a self-administered 68-item FFQ in 1995. Self-reported SLE was verified through medical record review. We used multivariable (MV) Cox regression models to estimate HRs and 95% CIs for macronutrients, carbohydrates, proteins, total fats, PUFAs, ω-3 fatty acids, ω-6 fatty acids, MUFAs, saturated fats, trans fatty acids, Alternative Healthy Eating Index score, vegetable/fruit and meat/fried food dietary patterns, and a reduced rank regression (RRR)-derived dietary pattern in relation to SLE risk.ResultsWe confirmed a total of 114 incident cases of SLE among 51,934 women during 1995-2015. MVHRs and 95% CIs for the highest quintile of intake versus the lowest were HR: 1.96, 95% CI: 1.02, 3.67 for carbohydrates; HR: 0.66, 95% CI: 0.37, 1.18 for protein; and HR: 0.54, 95% CI: 0.28, 1.01 for total fats. MUFAs, saturated fatty acids, and trans fatty acids were significantly associated with a lower risk of SLE. An RRR-derived factor, rich in fruits and sugar-sweetened drinks and low in margarines and butter, red and processed meats, fried chicken, poultry, and eggs, which explained 53.4% of the total variation of macronutrients, was the only food pattern associated with increased SLE risk (HR: 1.88, 95% CI: 1.06, 3.35).ConclusionThese analyses suggest that a diet high in carbohydrates and low in fats is associated with increased SLE risk in AA women.
| S-EPMC8488878 | biostudies-literature
Project description:HIV disproportionately affects black men in the United States: most diagnoses are for black gay, bisexual, and other men who have sex with men (collectively referred to as MSM). A better understanding of the social conditions in which black men live and work may better explain why HIV incidence and diagnosis rates are higher than expected in this population.Using data from the National HIV Surveillance System and the US Census Bureau's American Community Survey, we examined the relationships of HIV diagnosis rates and 5 census tract-level social determinants of health variables for 21,948 black MSM and non-MSM aged ≥ 15 years residing in 17 areas in the United States. We examined federal poverty status, marital status, education level, employment status, and vacancy status and computed rate ratios (RRs) and prevalence odds ratios (PORs), using logistic regression with zero-inflated negative binomial modeling.Among black MSM, HIV diagnosis rates decreased as poverty increased (RR: 0.54). At the time of HIV diagnosis, black MSM were less likely than black non-MSM to live in census tracts with a higher proportion below the poverty level (POR: 0.81) and with a higher proportion of vacant houses (POR: 0.86). In comparison, housing vacancy was positively associated with HIV diagnosis rates among black non-MSM (RR: 1.65). HIV diagnosis rates were higher for black MSM (RR: 2.75) and non-MSM (RR: 4.90) whose educational level was low. Rates were significantly lower for black MSM (RR: 0.06) and non-MSM (RR: 0.26) as the proportion unemployed and the proportion married increased.This exploratory study found differences in the patterns of HIV diagnosis rates for black MSM and non-MSM and provides insight into the transmission of HIV infection in areas that reflect substantial disadvantage in education, housing, employment, and income.
| S-EPMC4182518 | biostudies-other
Project description:OBJECTIVES:Past research has reported an association between neighborhood disadvantage and healthy aging, but most of these studies utilize self-report measures of health or physical functioning and do not properly account for neighborhood selection effects, creating concerns regarding inflated associations. To overcome these limitations and provide a more stringent estimate of effects, the current study investigated the effect of neighborhood disadvantage on aging using newly developed epigenetic methods to assess rate of biological aging and marginal structural modeling (MSM) to account for potential confounds due to neighborhood selection. METHODS:We tested the hypothesis that neighborhood disadvantage accelerates aging using U.S. census data and five waves of interview data from a sample of 100 middle-aged African American women. Using a recently developed epigenetic index of aging, biological age was measured using weighted methylation values at 71 CpG sites. We calculated a measure of accelerated methylomic aging (in years) based upon the residual scores resulting from a regression of methylomic age on chronological age. RESULTS:Controlling for a variety of individual difference factors that could be confounded with neighborhood effects, including various health behaviors, neighborhood disadvantage was associated with accelerated biological aging. Using MSM to account for selection effects, a standard deviation increase in neighborhood disadvantage accelerated aging an average of 9 months. CONCLUSIONS:Our findings converge with prior work to provide strong evidence that neighborhood context is a significant determinant of healthy aging.
| S-EPMC6748734 | biostudies-literature
Project description:INTRODUCTION:Neighborhood environments may play a role in the rising prevalence of obesity among older adults. However, research on built environmental correlates of obesity in this age group is limited. The current study aimed to explore associations of Walk Score, a validated measure of neighborhood walkability, with BMI and waist circumference in a large, diverse sample of older women. METHODS:This study linked cross-sectional data on 6,526 older postmenopausal women from the Women's Health Initiative Long Life Study (2012-2013) to Walk Scores for each participant's address (collected in 2012). Linear and logistic regression models were used to estimate associations of BMI and waist circumference with continuous and categorical Walk Score measures. Secondary analyses examined whether these relationships could be explained by walking expenditure or total physical activity. All analyses were conducted in 2015. RESULTS:Higher Walk Score was not associated with BMI or overall obesity after adjustment for sociodemographic, medical, and lifestyle factors. However, participants in highly walkable areas had significantly lower odds of abdominal obesity (waist circumference >88 cm) as compared with those in less walkable locations. Observed associations between walkability and adiposity were partly explained by walking expenditure. CONCLUSIONS:Findings suggest that neighborhood walkability is linked to abdominal adiposity, as measured by waist circumference, among older women and provide support for future longitudinal research on associations between Walk Score and adiposity in this population.
| S-EPMC5067165 | biostudies-literature
Project description:There is a dearth of research exploring the moderating role of the social environment on neighborhood structural disadvantage and depressive symptoms, particularly among adolescents. Therefore, we examined if adolescent perceptions of neighborhood social cohesion and safety moderated the association between neighborhood structural disadvantage and adolescent depressive symptoms. This cross-sectional study used data from the National Longitudinal Study of Adolescent to Adult Health (Add Health). The study sample consisted of 12,105 adolescents enrolled in 9th-12th grades during the 1994-1995 school year across the United States (U.S.). Mixed effects multilevel modeling was used to determine if adolescent perceptions of neighborhoods moderated the relationship between neighborhood structural disadvantage and adolescent depressive symptoms. Results showed that perceived neighborhood social cohesion moderated the relationship between neighborhood structural disadvantage and adolescent depressive symptoms (p???0.001). At higher levels of perceived neighborhood social cohesion, neighborhood structural disadvantage was associated with decreased depressive symptoms. Findings suggest that improving perceived neighborhood social cohesion may decrease adolescent depressive symptoms, particularly in neighborhoods with high disadvantage. This aspect of the neighborhood social environment may serve as a target for structural and other interventions to address the growing burden of depression among adolescents.
| S-EPMC6473181 | biostudies-literature
Project description:Does anti-Black racism harm White Americans? We advance hypotheses that address this question within the neighborhood context. Hypotheses are tested with neighborhood and survey data from a probability sample of White residents of Nashville, Tennessee. We find that regardless of neighborhood crime rates or socioeconomic compositions, Whites report heightened perceptions of crime and danger in their neighborhoods as the proportion of Black residents increases. Perceived neighborhood danger, in turn, predicts increased symptoms of psychophysiological distress. When stratified by socioeconomic status (SES), however, low-SES Whites also report perceptions of higher status when living near more Black neighbors, which entirely offsets their distress. We conclude that although anti-Black racism can ironically harm the health of White Americans, compensatory racist ideologies can also offset these harms, particularly for lower-status Whites. We situate our findings within broader discussions of anti-Black racism, residential segregation, and psychiatric disorders commonly observed among White Americans.
| S-EPMC10789170 | biostudies-literature
Project description:Introduction:Urban black males are at disproportionately high risk of poor health outcomes; thus, we need to measure neighborhood environments appropriately in order to understand aspects of neighborhoods that influence their mental and physical health. We explored associations between physical and mental health of injured, urban black men with objectively measured and perceived neighborhood characteristics.Methods:In 2017-2018, we analyzed data from 486 black, adult males in Philadelphia admitted to a trauma center with injury between January 2013 and February 2017. Area-level measures of social, economic, and built environments were obtained from multiple sources. At enrollment, participants answered questions about neighborhood environment and self-reported physical and mental health 30 days before injury. We conducted factor analysis to identify neighborhood characteristics, then estimated odds of poor physical or mental health, accounting for spatial correlation of participants.Results:Poor physical and mental health was reported by 12% and 22% of participants, respectively. In participants' neighborhoods, 29% of adults lived in poverty. Individually, 73% of men reported abandoned buildings, and 31% reported not feeling safe walking around their neighborhood. Physical health was associated with neighborhood poverty and disconnectedness. Mental health was associated with neighborhood economics and individual perceptions of social disorder and safety. Individual-level factors were not correlated with area-level factors.Conclusions:We found both area-level and individual-level measures were associated with health, perhaps operating through different mechanisms, but individual experiences may not be easily extrapolated from area-level data. By identifying important components of neighborhood environments, we may better understand how neighborhoods contribute to health in vulnerable populations.
| S-EPMC6834337 | biostudies-literature