Literature DB >> 22551996

Propensity score estimates in multilevel models for causal inference.

Patricia Eckardt1.   

Abstract

BACKGROUND: Teenage obesity is a national epidemic that requires school- and community-based initiatives to support healthy behaviors of students regarding exercise and nutrition to decrease the prevalence.
OBJECTIVES: The aim of this study was to demonstrate a methodology for an estimation of causal effects of the adoption of healthy behaviors with a potential outcomes approach within a multilevel treatment setting of school program adoption of a socially supportive environment.
METHODS: Propensity score estimates within a multilevel model provided causal estimates of the impact of the adoption of health habits by students within supportive school environments (SSEs) and non-SSEs. A potential outcomes approach to causal modeling was shown with a secondary analysis of the National Longitudinal Study of Adolescent Health study. The student participants consisted of 13,854 adolescent students, with an accompanying sample of 164 school administrators.
RESULTS: The effect of healthy eating habits in an SSE was a statistically nonsignificant decrease in body mass index (BMI). The effect of healthy eating habits in a non-SSE was a statistically nonsignificant increase in BMI. The difference between the healthy habit practices for students in supportive and nonsupportive schools was a resultant difference in BMI of 0.3484. DISCUSSION: The results demonstrate a difference in causal effects of eating habits in different school settings. Further research regarding causal effects of student habits and school programs is indicated.

Entities:  

Mesh:

Year:  2012        PMID: 22551996     DOI: 10.1097/NNR.0b013e318253a1c4

Source DB:  PubMed          Journal:  Nurs Res        ISSN: 0029-6562            Impact factor:   2.381


  4 in total

1.  Propensity score weighting for a continuous exposure with multilevel data.

Authors:  Megan S Schuler; Wanghuan Chu; Donna Coffman
Journal:  Health Serv Outcomes Res Methodol       Date:  2016-08-25

2.  Which Propensity Score Method Best Reduces Confounder Imbalance? An Example From a Retrospective Evaluation of a Childhood Obesity Intervention.

Authors:  Krista Schroeder; Haomiao Jia; Arlene Smaldone
Journal:  Nurs Res       Date:  2016 Nov/Dec       Impact factor: 2.381

3.  A Non-randomized Comparison of Strategies for Consultation in a Community-Academic Training Program to Implement an Evidence-Based Psychotherapy.

Authors:  Shannon Wiltsey Stirman; Kristin Pontoski; Torrey Creed; Regina Xhezo; Arthur C Evans; Aaron T Beck; Paul Crits-Christoph
Journal:  Adm Policy Ment Health       Date:  2017-01

Review 4.  Propensity score methods for observational studies with clustered data: A review.

Authors:  Ting-Hsuan Chang; Elizabeth A Stuart
Journal:  Stat Med       Date:  2022-05-23       Impact factor: 2.497

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.