Associations between neighborhood socioeconomic deprivation and severity of depression: Data from the National Health and Nutrition Examination Survey, 2011–2014

Neally, Sam J; Tamura, Kosuke; Langerman, Steven; Claudel, Sophie E; Farmer, Nicole; Vijayakumar, Nithya P; Curlin, Kaveri; Andrews, Marcus R; Ceasar, Joniqua N; Baumer, Yvonne; Powell‐Wiley, Tiffany M.

doi:10.1016/j.ssmph.2022.101111

Cited by 8 publications

(6 citation statements)

References 40 publications

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“…Percentages weighted using survey weights for participants who participated in T1 and either T2 or T3 data collection. 41…”

Section: Resultsmentioning

confidence: 99%

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Depression and assets during the COVID-19 pandemic: A longitudinal study of mental health across income and savings groups

Ettman,

Cohen,

Abdalla

et al. 2024

PLoS ONE

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The prevalence of depression in U.S. adults during the COVID-19 pandemic has been high overall and particularly high among persons with fewer assets. Building on previous work on assets and mental health, we document the burden of depression in groups based on income and savings during the first two years of the COVID-19 pandemic. Using a nationally representative, longitudinal panel study of U.S. adults (N = 1,271) collected in April-May 2020 (T1), April-May 2021 (T2), and April-May 2022 (T3), we estimated the adjusted odds of reporting probable depression at any time during the COVID-19 pandemic with generalized estimating equations (GEE). We explored probable depression—defined as a score of ≥10 on the Patient Health Questionnaire-9 (PHQ-9)—by four asset groups, defined by median income (≥$65,000) and savings (≥$20,000) categories. The prevalence of probable depression was consistently high in Spring 2020, Spring 2021, and Spring 2022 with 27.9% of U.S. adults reporting probable depression in Spring 2022. We found that there were four distinct asset groups that experienced different depression trajectories over the COVID-19 pandemic. Low income-low savings asset groups had the highest level of probable depression across time, reporting 3.7 times the odds (95% CI: 2.6, 5.3) of probable depression at any time relative to high income-high savings asset groups. While probable depression stayed relatively stable across time for most groups, the low income-low savings group reported significantly higher levels of probable depression at T2, compared to T1, and the high income-low savings group reported significantly higher levels of probable depression at T3 than T1. The weighted average of probable depression across time was 42.9% for low income-low savings groups, 24.3% for high income-low savings groups, 19.4% for low income-high savings groups, and 14.0% for high income-high savings groups. Efforts to ameliorate both savings and income may be necessary to mitigate the mental health consequences of pandemics.

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“…Percentages weighted using survey weights for participants who participated in T1 and either T2 or T3 data collection. 41…”

Section: Resultsmentioning

confidence: 99%

“…Probable depression. Probable depression was defined as a binary variable using a score of 10 or higher on the Patient Health-Questionnaire-9 (PHQ-9) [41]. The PHQ-9 has been validated to have a sensitivity of 88% and specificity of 88% as a screener for depression relative to the gold standard of a clinical diagnosis [42].…”

Section: Key Covariatesmentioning

confidence: 99%

Depression and assets during the COVID-19 pandemic: A longitudinal study of mental health across income and savings groups

Ettman,

Cohen,

Abdalla

et al. 2024

PLoS ONE

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“…US Census Bureau data from the 2010 American Community Survey was used to calculate the neighborhood deprivation index as a measure of NSD for census tracts in Washington, DC and Maryland as described previously ( Diez Roux et al, 2004 ; Farmer et al, 2021 ; Neally et al, 2022 ). Principal axis factoring was utilized to determine key variables for NSD from the following categories: income, wealth, education, employment/occupation, and housing conditions ( RouxA.V.…”

Section: Methodsmentioning

confidence: 99%

Neighborhood socioeconomic deprivation and individual-level socioeconomic status are associated with dopamine-mediated changes to monocyte subset CCR2 expression via a cAMP-dependent pathway

Baumer

Pita

Turner

et al. 2023

Brain, Behavior, & Immunity - Health

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“…Quality of and access to health care, educational standards, social support, housing, and safety standards may be less good, contributing to poorer health (13). Hence, higher regional socioeconomic deprivation is associated with poorer health outcomes (23,24,25,26,27,28). Despite higher morbidity, utilization of health care services is lower in people from deprived neighbourhoods (29,30).…”

Section: The Role Of Socioeconomic Statusmentioning

confidence: 99%

Association of prevalence rates of infantine social-emotional developmental risks and regional deprivation in Mecklenburg-Western Pomerania: A plea for regional small-scale data

Ernst,

Hoffmann,

Franze

et al. 2023

Preprint

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Background: Early childhood is essential for a child’s overall development. Twenty to 30%of children are impaired by a lack of needed social and emotional skills when starting school. Children living in socioeconomic deprivation are particularly affected. Early childhood development is determined by family socioeconomic status (SES) and regional socioeconomic aspects. In a preventive early childhood development support program for preschool children in social hotspots,an annual standardized developmental screening (Dortmunder Entwicklungsscreening für den Kindergarten - DESK 3–6 R) was carried out. This study aimed to investigate the association between the prevalence ofpreschool children at risk of social-emotional problems and socioeconomic deprivation in northeast Germany. Methods: Screening data from DESK 3–6 R were linked with the German Index of Socioeconomic Deprivation (GISD) for 2019. For the social-emotional domains ‘social behaviour’, ‘social competence’ and ‘social interaction’ as dependent variables and the GISD score as explanatory variable Generalized Linear Regressions (GLR) and to model spatially varying relationships Local Bivariate Relationships (LBR) were performed within ArcGIS pro 3.1. Results: A total of 147preschools participated, with atotal of 7,836 three- to six-year-old children in 2019. The prevalence of developmental risks for ‘social behavior’ was 14 % (standard deviation (SD) = 13 %), for ‘social competence’ 13 % (SD=12 %) and for ‘social interaction’ 10 % (SD=10 %). For ‘social behavior’ and ‘social interaction’, GLR showed statistically significant coefficients of approximately0.5 but low data fit (explaining only 6.3% of thevariance at max). LBR revealed no relevant association. Conclusions: Contrary to our expectation, we did not observe consistent significant associations between social-emotional developmental risks (measured with DESK) and regional deprivation (operationalized with GISD) of 3- to 6-year-olds attending preschools in social hotspots in Mecklenburg Western-Pomerania. Although the GISD was available on the level of five-digit postal zip codes, due to the relatively low population density, the relatively large administrative units, and the modifiable area unit problem (MAUP), differences in the degree of deprivation are evened out. To reflect the effect of regional differences on individual children, small-scale data with high geographical resolution are needed.

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Associations between neighborhood socioeconomic deprivation and severity of depression: Data from the National Health and Nutrition Examination Survey, 2011–2014

Cited by 8 publications

References 40 publications

Depression and assets during the COVID-19 pandemic: A longitudinal study of mental health across income and savings groups

Depression and assets during the COVID-19 pandemic: A longitudinal study of mental health across income and savings groups

Neighborhood socioeconomic deprivation and individual-level socioeconomic status are associated with dopamine-mediated changes to monocyte subset CCR2 expression via a cAMP-dependent pathway

Association of prevalence rates of infantine social-emotional developmental risks and regional deprivation in Mecklenburg-Western Pomerania: A plea for regional small-scale data

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