C B Menard1, K J Bandeen-Roche, H D Chilcoat. 1. University of Massachusetts Medical School, 55 Lake Avenue North, Box 525, Worcester, MA 01655, USA. christian.menard@umassmed.edu
Abstract
BACKGROUND: Multiple family-level childhood stressors are common and are correlated. It is unknown if clusters of commonly co-occurring stressors are identifiable. The study was designed to explore family-level stressor clustering in the general population, to estimate the prevalence of exposure classes, and to examine the correlation of sociodemographic characteristics with class prevalence. METHOD: Data were collected from an epidemiological sample and analyzed using latent class regression. RESULTS: A six-class solution was identified. Classes were characterized by low risk (prevalence=23%), universal high risk (7 %), family conflict (11 %), household substance problems (22 %), non-nuclear family structure (24 %), parent's mental illness (13 %). CONCLUSIONS: Class prevalence varied with race and welfare status, not gender. Interventions for childhood stressors are person-focused; the analytic approach may uniquely inform resource allocation.
BACKGROUND: Multiple family-level childhood stressors are common and are correlated. It is unknown if clusters of commonly co-occurring stressors are identifiable. The study was designed to explore family-level stressor clustering in the general population, to estimate the prevalence of exposure classes, and to examine the correlation of sociodemographic characteristics with class prevalence. METHOD: Data were collected from an epidemiological sample and analyzed using latent class regression. RESULTS: A six-class solution was identified. Classes were characterized by low risk (prevalence=23%), universal high risk (7 %), family conflict (11 %), household substance problems (22 %), non-nuclear family structure (24 %), parent's mental illness (13 %). CONCLUSIONS: Class prevalence varied with race and welfare status, not gender. Interventions for childhood stressors are person-focused; the analytic approach may uniquely inform resource allocation.
Authors: Anna E Austin; Nisha C Gottfredson; Stephen W Marshall; Carolyn T Halpern; Adam J Zolotor; Jared W Parrish; Meghan E Shanahan Journal: Prev Sci Date: 2020-01
Authors: Natalie Slopen; Garrett M Fitzmaurice; David R Williams; Stephen E Gilman Journal: Soc Psychiatry Psychiatr Epidemiol Date: 2012-01-13 Impact factor: 4.328