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Published in: BMC Public Health 1/2024

Open Access 01-12-2024 | Obesity | Research

The links between parental smoking and childhood obesity: data of the longitudinal study of Australian children

Authors: Preety Srivastava, Trong-Anh Trinh, Karen T. Hallam, Leila Karimi, Bruce Hollingsworth

Published in: BMC Public Health | Issue 1/2024

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Abstract

Childhood obesity is one of the most concerning public health issues globally and its implications on mortality and morbidity in adulthood are increasingly important. This study uses a unique dataset of Australian children aged 4–16 to examine the impact of parental smoking on childhood obesity. It confirms a significant link between parental smoking (stronger for mothers) and higher obesity risk in children, regardless of income, age, family size, or birth order. Importantly, we explore whether heightened preference for unhealthy foods can mediate the effect of parental smoking. Our findings suggest that increased consumption of unhealthy foods among children can be associated with parental smoking.
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Footnotes
1
To test for missing variable bias in our study, we employ the inverse probability weighting (IPW) suggested by Fitzgerald et al. (1998). Weights are derived as the inverse of the estimated propensity of the ones that remain in the sample during the entire period and are incorporated into our estimation analysis. The results are qualitatively similar to those estimated without weights which indicates that there are no selection concerns and that the missing observations are most likely random.
 
3
This includes activities such as cooking, caring for pet, and drawing.
 
4
Refer to https://​growingupinaustr​alia.​gov.​au/​sites/​default/​files/​tp12.​pdf for more information on measures of parenting styles in the LSAC.
 
5
Note that according to the latest National Drug Strategy Household Survey (Australian Institute of Health and Welfare, 2017), about 1.6% of children aged 12–17 reported smoking daily in 2016.
 
6
In such a binary probit model, we essentially estimate a latent model where the dependent variable is the propensity of the child being obese. The marginal effect measures the effect of a given X on the probability of being obese.
 
7
For a continuous variable, the marginal effect represents the change in the probability of being obese, when the X variable increases by one unit, holding all other variables constant.
 
8
Note that the rate of prevalence of smoking in the three income groups is 34%, 25% and 15% respectively.
 
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Metadata
Title
The links between parental smoking and childhood obesity: data of the longitudinal study of Australian children
Authors
Preety Srivastava
Trong-Anh Trinh
Karen T. Hallam
Leila Karimi
Bruce Hollingsworth
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2024
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-023-17399-5

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