TY - JOUR
T1 - Geographic disparities in new onset of internalizing disorders in Pennsylvania adolescents using electronic health records
AU - Gorski-Steiner, Irena
AU - O'Dell, Sean
AU - Bandeen-Roche, Karen
AU - Volk, Heather E.
AU - Goes, Fernando S.
AU - Schwartz, Brian S.
N1 - Publisher Copyright:
© 2021
PY - 2022/6
Y1 - 2022/6
N2 - We evaluated associations of community types and features with new-onset internalizing disorders among Pennsylvania adolescents to identify the location and scale of risk. Using a nested case-control study, we drew subjects from electronic health records 2008–2016, requiring cases (n = 7974) to have two medication orders or diagnoses indicating an internalizing disorder; controls (n = 31,895) were frequency-matched. Subjects were assigned to three community classifications: townships, boroughs, city census tracts; urbanized areas, urban clusters, rural areas; and a combination. Using logistic regression with generalized estimating equations, we found that compared to rural-townships, the highest odds were in urban cluster-city census tracts (odds ratio, 95% confidence interval: 1.78, 1.41–2.26); lowest in urbanized area-city census tracts (0.85, 0.74–0.97). Higher community socioeconomic deprivation was associated with increased odds in urban clusters (1.21, 1.00–1.48) and higher greenness with decreased odds in urban clusters (0.73, 0.62–0.86).
AB - We evaluated associations of community types and features with new-onset internalizing disorders among Pennsylvania adolescents to identify the location and scale of risk. Using a nested case-control study, we drew subjects from electronic health records 2008–2016, requiring cases (n = 7974) to have two medication orders or diagnoses indicating an internalizing disorder; controls (n = 31,895) were frequency-matched. Subjects were assigned to three community classifications: townships, boroughs, city census tracts; urbanized areas, urban clusters, rural areas; and a combination. Using logistic regression with generalized estimating equations, we found that compared to rural-townships, the highest odds were in urban cluster-city census tracts (odds ratio, 95% confidence interval: 1.78, 1.41–2.26); lowest in urbanized area-city census tracts (0.85, 0.74–0.97). Higher community socioeconomic deprivation was associated with increased odds in urban clusters (1.21, 1.00–1.48) and higher greenness with decreased odds in urban clusters (0.73, 0.62–0.86).
KW - Adolescents
KW - Anxiety
KW - Depression
KW - Environmental risk factors
KW - Geographic disparities
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U2 - 10.1016/j.sste.2021.100439
DO - 10.1016/j.sste.2021.100439
M3 - Article
C2 - 35691643
AN - SCOPUS:85110499287
SN - 1877-5845
VL - 41
JO - Spatial and Spatio-temporal Epidemiology
JF - Spatial and Spatio-temporal Epidemiology
M1 - 100439
ER -