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Parent-child correlation in energy and macronutrient intakes: A meta-analysis and systematic review.


ABSTRACT: In the current study, we aimed to review the evidence from twin and family-based studies that have assessed the familial similarity in intakes of energy and macronutrients among various parent-child pairs. The online literature databases, including Web of Science, PubMed, and Scopus, were searched up to December 2022 to find potentially eligible studies. We converted Pearson's, Spearman's, or intra-class correlation coefficients to z's using Fisher's z transformation to obtain approximate normality and then calculated a mean and standard error (SE) of transformed correlation weighted by the sample sizes in the studies. We reported pooled r and 95% CI as our final results in five groups, including parent-child, mother-daughter, mother-son, father-daughter, and father-son. Twenty-one eligible studies were included in this meta-analysis, in which the sample size ranged from 33 and 4310. Our analysis showed that family resemblance in the intake of energy and macronutrients in various parent-offspring pairs was weak to moderate which could be different based on family pairs, nutrients, and studies. The highest similarity in dietary intakes was observed among the mother-daughter pair, which was for carbohydrate and protein intake, respectively. The lowest correlations in dietary intakes were found between mother-son or father-son pairs. Our meta-analysis suggested that family similarity for intakes of energy and macronutrients was not strong in parent-child pairs. The highest correlation in dietary intake was mostly found in mother-daughter pairs. The weak similarities in dietary intake among parent-child pairs indicate the noticeable effect of the environment outside the family on individuals' dietary choices.

SUBMITTER: Teymoori F 

PROVIDER: S-EPMC11016429 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature

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Parent-child correlation in energy and macronutrient intakes: A meta-analysis and systematic review.

Teymoori Farshad F   Norouzzadeh Mostafa M   Farhadnejad Hossein H   Jahromi Mitra Kazemi MK   Ahmadirad Hamid H   Saber Niloufar N   Akbarzadeh Mahdi M   Zarkesh Maryam M   Daneshpour Maryam S MS   Mirmiran Parvin P   Vafa Mohammadreza M  

Food science & nutrition 20240117 4


In the current study, we aimed to review the evidence from twin and family-based studies that have assessed the familial similarity in intakes of energy and macronutrients among various parent-child pairs. The online literature databases, including Web of Science, PubMed, and Scopus, were searched up to December 2022 to find potentially eligible studies. We converted Pearson's, Spearman's, or intra-class correlation coefficients to z's using Fisher's z transformation to obtain approximate normal  ...[more]

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