TY - JOUR
T1 - Modeling multiple risks during infancy to predict quality of the caregiving environment
T2 - Contributions of a person-centered approach
AU - Lanza, Stephanie T.
AU - Rhoades, Brittany L.
AU - Greenberg, Mark T.
AU - Cox, Martha
N1 - Funding Information:
Data collection for The Family Life Project was funded by NIH/NICHD Grant Number P01HD39667 with co-funding from NIDA . This research was supported by NIDA Grant Numbers R03DA023032 and P50DA010075 . The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Drug Abuse or the National Institutes of Health. We would like to thank Mildred Maldonado-Molina, Michael Cleveland and Bethany Bray for providing feedback on an early version of this manuscript. The Family Life Project Key Investigators include Lynne Vernon-Feagans, Martha Cox, Clancy Blair, Peg Burchinal, Linda Burton, Keith Crnic, Nan Crouter, Patricia Garrett-Peters, Doug Granger, Mark Greenberg, Stephanie Lanza, AdeleMiccio, RogerMills-Koonce, Deborah Skinner, Cynthia Stifter, Lorraine Taylor, Emily Werner, and Mike Willoughby.
PY - 2011/6
Y1 - 2011/6
N2 - The primary goal of this study was to compare several variable-centered and person-centered methods for modeling multiple risk factors during infancy to predict the quality of caregiving environments at six months of age. Nine risk factors related to family demographics and maternal psychosocial risk, assessed when children were two months old, were explored in the understudied population of children born in low-income, non-urban communities in Pennsylvania and North Carolina (N= 1047). These risk factors were (1) single (unpartnered) parent status, (2) marital status, (3) mother's age at first child birth, (4) maternal education, (5) maternal reading ability, (6) poverty status, (7) residential crowding, (8) prenatal smoking exposure, and (9) maternal depression. We compared conclusions drawn using a bivariate approach, multiple regression analysis, the cumulative risk index, and latent class analysis (LCA). The risk classes derived using LCA provided a more intuitive summary of how multiple risks were organized within individuals as compared to the other methods. The five risk classes were: married low-risk; married low-income; cohabiting multiproblem; single low-income; and single low-income/education. The LCA findings illustrated how the association between particular family configurations and the infants' caregiving environment quality varied across race and site. Discussion focuses on the value of person-centered models of analysis to understand complexities of prediction of multiple risk factors.
AB - The primary goal of this study was to compare several variable-centered and person-centered methods for modeling multiple risk factors during infancy to predict the quality of caregiving environments at six months of age. Nine risk factors related to family demographics and maternal psychosocial risk, assessed when children were two months old, were explored in the understudied population of children born in low-income, non-urban communities in Pennsylvania and North Carolina (N= 1047). These risk factors were (1) single (unpartnered) parent status, (2) marital status, (3) mother's age at first child birth, (4) maternal education, (5) maternal reading ability, (6) poverty status, (7) residential crowding, (8) prenatal smoking exposure, and (9) maternal depression. We compared conclusions drawn using a bivariate approach, multiple regression analysis, the cumulative risk index, and latent class analysis (LCA). The risk classes derived using LCA provided a more intuitive summary of how multiple risks were organized within individuals as compared to the other methods. The five risk classes were: married low-risk; married low-income; cohabiting multiproblem; single low-income; and single low-income/education. The LCA findings illustrated how the association between particular family configurations and the infants' caregiving environment quality varied across race and site. Discussion focuses on the value of person-centered models of analysis to understand complexities of prediction of multiple risk factors.
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U2 - 10.1016/j.infbeh.2011.02.002
DO - 10.1016/j.infbeh.2011.02.002
M3 - Article
C2 - 21477866
AN - SCOPUS:79960056352
SN - 0163-6383
VL - 34
SP - 390
EP - 406
JO - Infant Behavior and Development
JF - Infant Behavior and Development
IS - 3
ER -