Washington: If you thought you could influence your child’s eating habits, you are wrong - at least partially, for a new study claims that this influence is limited.
Researchers from the Johns Hopkins Bloomberg School of Public Health reviewed and assessed the degree of association and similarity between children and their parents’ dietary intake based on worldwide studies published since 1980.
“Contrary to popular belief, many studies from different countries, including the United States, have found a weak association between parent-child dietary intakes,” said Youfa Wang, lead author of the study and an associate professor with the Bloomberg School’s Department of International Health.
“This is likely because young people’s eating patterns are influenced by many complex factors, and the family environment plays only a partial role. More attention should be given to the influence of the other players on children’s eating patterns such as that of schools, the local food environment and peer influence, government guidelines and policies that regulate school meals, and the broader food environment that is influenced by food production, distribution and advertising,” he added.
He further said that, “Parents need to be better empowered to be good role models and help their children eat a healthy diet.”
Wang, along with colleagues compared the correlations between parent-child pairs`` dietary intakes, by type of parent-child pairs (for example, mother-daughter vs. father-son), world regions and dietary assessment methods, and over time.
They found differences in parent-child dietary intake resemblance, across nutrients and dietary assessment approaches. In addition, the meta-analysis provided evidence that correlations have become weaker over time.
“Findings of this study will help enhance our understanding of the factors that may affect children’s dietary intake patterns and provide useful insights for developing effective intervention programs to promote healthy eating in young people,” said May A. Beydoun, a co-author of the review, staff scientist at the National Institute on Aging.
The meta-analysis of the review is featured in the December issue of the Journal of Epidemiology and Community Health.