Literature DB >> 30928911

Neighbourhood disadvantage and depressive symptoms among adolescents followed into emerging adulthood.

Rise B Goldstein1, Awapuhi K Lee2,3, Denise L Haynie2, Jeremy W Luk2,4, Brian J Fairman2, Danping Liu5, Jacob S Jeffers2, Bruce G Simons-Morton2, Stephen E Gilman2,6.   

Abstract

BACKGROUND: Residents of disadvantaged neighbourhoods report higher levels of depressive symptoms; however, few studies have employed prospective designs during adolescence, when depression tends to emerge. We examined associations of neighbourhood social fragmentation, income inequality and median household income with depressive symptoms in a nationally representative survey of adolescents.
METHODS: The NEXT Generation Health Study enrolled 10th-grade students from 81 US high schools in the 2009-2010 school year. Depressive symptoms were assessed with the Modified Depression Scale (wave 1) and the paediatric Patient-Reported Outcome Measurement Information System (waves 2-6). Neighbourhood characteristics at waves 1, 3, 4, and 5 were measured at the census tract level using geolinked data from the American Community Survey 5-year estimates. We used linear mixed models to relate neighbourhood disadvantage to depressive symptoms controlling for neighbourhood and individual sociodemographic factors.
RESULTS: None of the models demonstrated evidence for associations of social fragmentation, income inequality or median household income with depressive symptoms.
CONCLUSION: Despite the prospective design, repeated measures and nationally representative sample, we detected no association between neighbourhood disadvantage and depressive symptoms. This association may not exist or may be too small to detect in a geographically dispersed sample. Given the public health significance of neighbourhood effects, future research should examine the developmental timing of neighbourhood effects across a wider range of ages than in the current sample, consider both objective and subjective measures of neighbourhood conditions, and use spatially informative techniques that account for conditions of nearby neighbourhoods. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  depression; inequalities; longitudinal studies; neighborhood/place; social epidemiology

Mesh:

Year:  2019        PMID: 30928911      PMCID: PMC6559828          DOI: 10.1136/jech-2018-212004

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  48 in total

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Journal:  Am J Epidemiol       Date:  2020-07-01       Impact factor: 4.897

2.  Disparities in Height and Urban Social Stratification in the First Half of the 20th Century in Madrid (Spain).

Authors:  Carlos Varea; Elena Sánchez-García; Barry Bogin; Luis Ríos; Bustar Gómez-Salinas; Alejandro López-Canorea; José Miguel Martínez-Carrión
Journal:  Int J Environ Res Public Health       Date:  2019-06-10       Impact factor: 3.390

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