Neighbourhood disadvantage and depressive symptoms among adolescents followed into emerging adulthood

被引:10
|
作者
Goldstein, Rise B. [1 ]
Lee, Awapuhi K. [1 ,2 ]
Haynie, Denise L. [1 ]
Luk, Jeremy W. [1 ,3 ]
Fairman, Brian J. [1 ]
Liu, Danping [4 ]
Jeffers, Jacob S. [1 ]
Simons-Morton, Bruce G. [1 ]
Gilman, Stephen E. [1 ,5 ]
机构
[1] Eunice Kennedy Shriver Natl Inst Child Hlth & Hum, Div Intramural Populat Hlth Res, Social & Behav Sci Branch, Bethesda, MD 20892 USA
[2] Univ Hawaii Manoa, John A Burns Sch Med, Dept Trop Med Med Microbiol & Pharmacol, Honolulu, HI 96822 USA
[3] Uniformed Serv Univ Hlth Sci, Suicide Care Prevent & Res Initiat, Dept Med & Clin Psychol, Bethesda, MD 20814 USA
[4] NCI, Biostat Branch, Epidemiol & Biostat Program, Div Canc Epidemiol & Genet, Bethesda, MD 20892 USA
[5] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Mental Hlth, Baltimore, MD USA
关键词
INCOME INEQUALITY; SOCIAL FRAGMENTATION; MENTAL-HEALTH; SOCIOECONOMIC DISADVANTAGE; MULTILEVEL; SUPPORT; RISK; ASSOCIATION; PREVALENCE; CHILDREN;
D O I
10.1136/jech-2018-212004
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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.
引用
收藏
页码:590 / 597
页数:8
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