Racial/ethnic disparities in depression: Investigating how sources of support and types of integration matter

Association between social integration and loneliness among the female migrant older adults with children: the mediating effect of social support

BACKGROUND

The number of migrant older adults with children (MOAC) in China has been increasing in recent years, and most of them are women. This study aimed to explore the mediating effect of social support between social integration and loneliness among the female MOAC in Jinan, China.

METHODS

In this study, 418 female MOAC were selected using multi-stage cluster random sampling in Jinan, Shandong Province, China. Loneliness was measured by the eight-item version of the University of California Los Angeles Loneliness Scale (ULS-8), and social support was measured by The Social Support Rating Scale (SSRS). Descriptive analyses, t-tests, ANOVA, and structural equation modeling (SEM) were used to illustrate the relationship between social integration, social support, and loneliness.

RESULTS

The average scores of ULS-8 and SSRS were 12.9 ± 4.0 and 39.4 ± 5.9 among female MOAC in this study. Social integration and social support were found to be negatively related to loneliness, and the standardized direct effect was -0.20 [95% CI: -0.343 to -0.068] and -0.39 [95% CI: -0.230 to -0.033], respectively. Social support mediated the relationship between social integration and loneliness, and the indirect effect was -0.16 [95% CI: -0.252 to -0.100].

CONCLUSION

The female MOAC's loneliness was at a relatively lower level in this study. It was found that social integration was negatively associated with loneliness, and social support mediated the relationship between them. Helping female MOAC integrate into the inflow city and improving their social support could be beneficial for alleviating their loneliness.

Associations of adolescent substance use and depressive symptoms with adult major depressive disorder in the United States: NSDUH 2016-2019

BACKGROUND

Few studies have focused on the associations of adolescent substance use and depressive symptoms with adult major depressive disorder (MDD).

METHODS

Data from 168,859 adults, among which, 15,959 had experienced MDD in the past year, as indicated by a major depressive episode (MDE) marked by MDD symptoms, were from the 2016-2019 National Surveys on Drug Use and Health. Weighted multivariable logistic regression (MLR) analyses were used to determine the associations.

RESULTS

The overall MDD prevalence was 7.2 %, whereas the prevalence for adults without early onset depressive symptoms prior to age 18 was 4.6 %. Variable cluster analysis revealed that adolescent use of alcohol, cigarettes, marijuana, cocaine, hallucinogen use, and inhalants prior to age 18 were in one cluster. MLR analyses showed that the presence of depressive symptoms prior to age 18 was the major risk factor for MDD, while adolescent use of alcohol, marijuana, and inhalants prior to age 18 were associated with increased odds of MDD (p < 0.05) both in the whole data and the subset of adults without depressive symptoms prior to age 18. Adolescent use of cocaine prior to age 18 were associated with MDD only in the whole data, whereas adolescent smokeless tobacco use was associated with MDD only in those without depressive symptoms prior to age 18.

CONCLUSIONS

These findings highlight the comorbid early substance use and depressive symptoms during adolescence with adult MDD. Intervention strategies should simultaneously address early-onset substance use and depressive symptoms prior to age 18.

Association between depression and risk of type 2 diabetes and its sociodemographic factors modifications: A prospective cohort study in southwest China

BACKGROUND

Depression may be associated with the risk of developing type 2 diabetes. The goal of this study was to explore the association of severe of depression with the risk of type 2 diabetes in adults in Guizhou, China.

METHODS

A 10-year prospective cohort study of 7158 nondiabetes adults aged 18 years or older was conducted in Guizhou, southwest China from 2010 to 2020. The Patient Health Questionnaire-9 (PHQ-9) was used to measure the prevalence of depression. Cox proportional hazard models were used to estimated hazard ratios (HRs) and 95% confidence intervals (95% CIs) of depression and incident type 2 diabetes. A quantile regression (QR) analytical approach were applied to evaluate the associations of PHQ-9 score with plasma glucose values.

RESULTS

A total of 739 type 2 diabetes cases were identified during a median follow-up of 6.59 years. The HR (95% CI) per 1-SD increase for baseline PHQ-9 score was 1.051 (1.021, 1.082) after multivariable adjustment. Compared with participants without depression, those with mild or more advanced depression had a higher risk of incident type 2 diabetes (HR:1.440 [95% CI, 1.095, 1.894]). Associations between depression with type 2 diabetes were suggested to be even stronger among women or participants aged ≥45 years (p < .05). There are significant positive associations of PHQ-9 score with 2-h oral glucose tolerance test blood glucose levels.

CONCLUSION

Depression significantly increased the risk of incident type 2 diabetes, especially in women, participants aged ≥45 years, Han ethnicity, and urban residents. These findings highlighted the importance and urgency of depression health care.

Factors enabling comorbidities and secondary conditions in older adults with spinal cord injury

OBJECTIVE

To examine the role of personal, social, and environmental factors predicting comorbidities and secondary conditions among older adults with spinal cord injury (SCI).

DESIGN

Cross-sectional study utilizing survey methods were used to collect the data analyzed with two distinct general linear models.

SETTING

Community-dwelling participants who resided in rural and urban areas.

PARTICIPANTS

One hundred and eighty-three (183) participants with SCI ages 45 and over at least five years post injury.

INTERVENTIONS

Not applicable.

MEASURES

Spinal Cord Injury Secondary Conditions Scale (SCI-SCS); Comorbidities Questionnaire; Spinal Cord Injury Functional Index Assistive Technology (SCI-FI/AT) Basic - Mobility; Spinal Cord Injury Quality of Life (SCI-QOL) Satisfaction with Social Roles and Activities Scale (SSRA); Cohen's Social Network-Social Integration Index, the Medical Outcomes Study (MOS) Social Support Emotional/Informational Support Scale, and the Facilitators and Barriers Survey for Mobility (FABS-Mv2). Questions were also asked from the Behavioral Risk Factor Surveillance System (BRFSS).

RESULTS

Common predictors of comorbidities and secondary conditions included age, basic mobility, primary health care payer and parking limitations. An interaction between parking and neurological classification was observed for comorbidities. Neurological classification and employment were significantly associated with comorbidities while for secondary conditions, sex, years since injury, education, satisfaction with social roles and the home environment were critical factors.

CONCLUSIONS

Our study shows the effects of demographic and injury factors, physical functioning, satisfaction with social roles, access to home environment adaptations and health resources in predicting comorbidities and secondary conditions among older adults with SCI.

Race/Ethnicity, Nativity, and Gender Disparities in Mental Health Trajectories from Mid- to Later-Life: A Life Course-Intersectional Approach

BACKGROUND

Numerous studies have highlighted mental health disparities based on race/ethnicity, nativity, and gender across different life stages. However, few have investigated how the intersectionality of these factors influences mental health trajectories during midlife to late life. This study fills this gap by adopting a life course-intersectional approach, viewing mental health trajectories as dynamic processes shaped by the combined influences of race/ethnicity, nativity, and gender. It explores social, psychological, and physiological pathways contributing to these disparities.

DESIGN

Using data from the Health and Retirement Study (2006-2018; N = 38,049 observations) and growth curve models, this study examines how intra-individual trends in depressive symptoms (measured as CES-D scale, 07) are influenced by the intersection of race/ethnicity, nativity, and gender. It also investigates the impact of objective and subjective social isolation and physical health on group disparities in mental health trajectories.

RESULTS

The findings reveal that, during mid- to early late-life, most Black and Hispanic Americans experience higher levels of depressive symptoms compared to their White counterparts (disparities ranging from 0.184 to 0.463 for men and 0.117 to 0.439 for women). However, this disadvantage diminishes for US-born Hispanic men and US-born Black women (0.014-0.031 faster decrease rates compared to US-born White), while it intensifies for Hispanic immigrants (0.017-0.018 slower decrease rates compared to US-born White) in advanced ages. Mediation analysis demonstrates that both social isolation and physical health contribute to these disparities, with physical health explaining a larger portion, particularly in differences between immigrant Hispanic women and US-born Whites.

CONCLUSION

This study underscores the importance of a life course-intersectional approach in understanding mental health disparities. It emphasizes the need for improved social welfare systems and community-level interventions targeting the specific challenges faced by older Hispanic immigrants, especially women who encounter multiple forms of oppression.

African American race is associated with worse sleep quality in heavy smokers

STUDY OBJECTIVES

To examine the association of self-identified race with sleep quality in heavy smokers.

METHODS

We studied baseline data from 1965 non-Hispanic White and 462 African American participants from SPIROMICS with ≥ 20 pack-years smoking history. We first examined the Pittsburgh Sleep Quality Index's (PSQI) internal consistency and item-total correlation in a population with chronic obstructive pulmonary disease. We then used staged multivariable regression to investigate the association of race and sleep quality as measured by the PSQI) The first model included demographics, the second added measures of health status, and the third, indicators of socioeconomic status. We next explored the correlation between sleep quality with 6-minute walk distance and St. George's Respiratory Questionnaire score as chronic obstructive pulmonary disease-relevant outcomes. We tested for interactions between self-identified race and the most important determinants of sleep quality in our conceptual model.

RESULTS

We found that the PSQI had good internal consistency and item-total correlation in our study population of heavy smokers with and without chronic obstructive pulmonary disease. African American race was associated with increased PSQI in univariable analysis and after adjustment for demographics, health status, and socioenvironmental exposures (P = .02; 0.44 95%CI: .06 to .83). Increased PSQI was associated with higher postbronchodilator forced expiratory volume in 1 second and lower household income, higher depressive symptoms, and female sex. We identified an interaction wherein depressive symptoms had a greater impact on PSQI score for non-Hispanic White than African American participants (P for interaction = .01).

CONCLUSIONS

In heavy smokers, self-reported African American race is independently associated with worse sleep quality.

CLINICAL TRIAL REGISTRATION

Registry: ClinicalTrials.gov; Name: Study of COPD Subgroups and Biomarkers (SPIROMICS); URL: https://clinicaltrials.gov/ct2/show/NCT01969344; Identifier: NCT01969344.

CITATION

Baugh AD, Acho M, Arhin A, et al. African American race is associated with worse sleep quality in heavy smokers. J Clin Sleep Med. 2023;19(8):1523-1532.

Depressive Symptom Trajectories Across Adolescence and Adulthood Among Individuals With Asthma

OBJECTIVE

Individuals with asthma experience increased depressive symptoms, which is associated with deleterious health outcomes. No studies have examined depressive symptom trajectories among individuals with asthma despite increased risk. This study expanded prior literature by identifying the following: (1) depressive symptoms trajectories for individuals with and without asthma and (2) predictors of baseline levels and changes in symptoms across time for individuals with asthma.

METHODS

Adolescents with (N = 965) and without (N = 7,392) asthma self-reported on depressive symptoms (CESD-9) across development. Covariates included: demographics and persistence of asthma. Latent growth curve modeling (LGCM) was used to identify depressive symptom trajectories and their predictors.

RESULTS

A multigroup LCGM identified no significant differences between depressive symptom trajectories of individuals with and without asthma. Depressive symptoms followed a quadratic shape across time for individuals with asthma (Mintercept = 5.73, p < .00; Mlinear = -0.38,p < .001; Mquad = 0.03, p < .001), with a linear deceleration in depressive symptoms during adolescence and an acceleration of symptoms into adulthood. Next predictors of depressive trajectories among individuals with asthma were examined. Female sex (B = 0.58, p < .001), lower parent education (B = -0.57, p < .001), older age (B = 0.19, p < .001), and identifying as Black (B = 0.31, p = .04) were associated with greater baseline depressive symptoms. Older individuals exhibited faster linear symptom decelerations (B = -0.56, p < .001) and faster symptom accelerations (B = 0.73, p < .001). American Indian (AIAN) individuals exhibited faster linear symptom decelerations (B = -1.98, p = .005) and faster quadratic accelerations (B = 3.33, p = .007).

DISCUSSION

Our results suggest that the depressive symptom trajectories of individuals with asthma are curvilinear and similar to individuals without asthma. When examining predictors of depressive symptom trajectories for those with asthma, socioeconomic disadvantage and racial marginalization were associated with greater baseline depressive symptoms. Although AIAN youth demonstrated more favorable trajectories in adolescence, they also exhibited worse trajectories across young adulthood and adulthood. Findings suggest the need to better understand the impact of multilevel risk and protective factors on depressive symptoms trajectories for individuals with asthma, especially marginalized populations.

Racial Differences in C-Reactive Protein, Depression Symptoms, and Social Relationships in Older Adults: A Moderated Network Analysis

INTRODUCTION

We introduce moderated network analysis as an integrative approach to assess the moderation effects of race on the relationship between C-reactive protein (CRP) and depression symptoms in older adults. This study further explores how the observed relationships differ adjusting for social relationships.

METHODS

This secondary analysis of cross-sectional data from the National Social Life, Health, and Aging Project (2010-2011) includes 2,880 older adults. We used different depression symptom domains (depressed affect, low positive affect, somatic symptoms, and interpersonal problems) from the Center for Epidemiologic Studies-Depression Scale. Social relationships were assessed with measures of social integration, social support, and social strain. The moderated networks were constructed using the R-package mgm. The racial moderator was coded as White/African American racial groups.

RESULTS

In the moderated networks of CRP and depression symptoms, CRP-"interpersonal problems" edge was present only among African Americans. CRP-"somatic symptoms" edge was present in both racial groups with equal edge weights. After adjusting for social relationships, the aforementioned patterns remained the same, but the edge weights were attenuated. We additionally observed CRP-social strain and social integration-"depressed affect" edges only in African Americans.

DISCUSSION

Race may moderate the relationship between the CRP and depression symptoms in older adults and social relationships might be important covariates to consider while analyzing them. This study as an initiation point; future network investigations would benefit from leveraging more contemporary cohorts of older adults, gaining a large sample size with diverse racial/ethnic backgrounds, and important covariates. Several important methodological issues of the current study are addressed.

Racial and ethnic differences in the associations between social integration, C-reactive protein and depressive symptoms

This study evaluates whether the associations between social integration, inflammation, and depressive symptoms vary by race/ethnicity in the United States. Our study includes 5,634 respondents age 40 and older from the National Health and Nutrition Examination Survey for 2005-2008. We fit multivariate logistic regression models with interactions between C-reactive protein (CRP) and race/ethnicity as well as social integration and race/ethnicity to test our hypotheses. We find that social integration and CRP operate independently in their associations with depressive symptoms by race/ethnicity. Higher levels of social integration are associated with lower predicted probability of depressive symptoms for White and Black populations. This association is not statistically significant for the Hispanic population. CRP is associated with depressive symptoms for the White population, but not the Black or Hispanic populations. Our results suggest that studying depressive symptoms, and other mental health outcomes, among the US population without considering variation by race/ethnicity may restrict scholarly understanding of health disparities. Population-based assessments of associations between physiological processes or social integration should consider whether these variables operate differently by race/ethnicity and work to explain why differences may emerge. Furthermore, interventions aimed at social integration may improve mental health among older adults in the United States; especially for the least socially integrated.

Psychological and neighborhood factors associated with urban women's preventive care use

Women are more likely than men to forego care-including preventive care. Understanding which factors influence women's preventive care use has the potential to improve health. This study focuses on the largely understudied areas of psychological barriers (depression) and neighborhood factors (support and stressors) that may be associated with women's preventive care use through secondary analysis of the Chicago Community Adult Health Study. Across models, 30-40% of the variance in preventive care adherence was explained by the neighborhood. Depressive symptoms were not associated with preventive care use when neighborhood factors were included. However, stratified models showed that associations varied by race/ethnicity. Previous research has tended to focus on individual determinants of care, but this study suggests that barriers to care are far more complex. Efforts aimed at improving care utilization need to be multipronged and interventions need to take an individual's demographics, mental health, and context into account.

Factors Affecting the Severity of Fatigue during Radiotherapy for Prostate Cancer; an Exploratory Study

INTRODUCTION

Limited studies have examined potential risk factors associated with the fatigue experience of a sample of Puerto Rican men treated with radiotherapy for non-metastatic prostate cancer. Identifying these factors may provide initial information about targets for individualized interventions, leading to more effective management of fatigue in this population.

PURPOSE

To examine the relationship of age, body max index, depressive symptoms, physical activity, and sleep disturbance with fatigue during radiotherapy for prostate cancer.

METHODS

Twenty six participants completed five inventories: demographic intake, health form, the Functional Assessment of Cancer-Therapy-fatigue, Patient-Reported Outcome Measures Information System-Sleep disturbance, and the International Physical Activity Questionnaire-Short Form before, middle/days 19-21 and completion/days 38-42 of radiotherapy. The principal investigator rated the Hamilton depression scale. Descriptive statistics were performed. Interactions and influence of variables on fatigue were assessed using bivariate correlation and multiple linear regression, respectively.

RESULTS

At each study time point, sleep disturbance and depressive symptoms were strongly correlated with each other and fatigue. The linear combination of sleep disturbance and depressive symptoms was significantly related to fatigue.

CONCLUSION

Given the high association of sleep disturbance and depressive symptoms with fatigue, clinicians should assess and develop interventions to manage these symptoms altogether.