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Neighborhood X Serotonin Transporter Linked Polymorphic Region (5-HTTLPR) interactions for substance use from ages 10 to 24 years using a harmonized data set of African American children
Oleh:
Windle, Michael
;
Brody, Gene H.
;
Kogan, Steven M.
;
Beach, Steven R. H.
;
Lee, Sunbok
;
Yu, Tianyi
;
Chen, Yi-Fu
;
Lei, Karlo Mankit
Jenis:
Article from Journal - ilmiah internasional
Dalam koleksi:
Development and Psychopathology vol. 28 no. 2 (May 2016)
,
page 415-431.
Topik:
Neighborhood and 5-HTTLPR interactions for substance use
Fulltext:
415 - 431_her.pdf
(343.49KB)
Ketersediaan
Perpustakaan Pusat (Semanggi)
Nomor Panggil:
DD21
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
This study investigated the influences of neighborhood factors (residential stability and neighborhood disadvantage) and variants of the serotonin transporter linked polymorphic region (5-HTTLPR) genotype on the development of substance use among African American children aged 10–24 years. To accomplish this, a harmonized data set of five longitudinal studies was created via pooling overlapping age cohorts to establish a database with 2,689 children and 12,474 data points to span ages 10–24 years. A description of steps used in the development of the harmonized data set is provided, including how issues such as the measurement equivalence of constructs were addressed. A sequence of multilevel models was specified to evaluate GeneEnvironment effects on growth of substance use across time. Findings indicated that residential instability was associated with higher levels and a steeper gradient of growth in substance use across time. The inclusion of the 5-HTTLPR genotype provided greater precision to the relationships in that higher residential instability, in conjunction with the risk variant of 5-HTTLPR (i.e., the short allele), was associated with the highest level and steepest gradient of growth in substance use across ages 10–24 years. The findings demonstrated how the creation of a harmonized data set increased statistical power to test GeneEnvironment interactions for an under studied sample.
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