Literature DB >> 11880567

Tracking of dietary intake patterns of Chinese from childhood to adolescence over a six-year follow-up period.

Youfa Wang1, Margaret E Bentley, Fengying Zhai, Barry M Popkin.   

Abstract

Limited literature has explored whether dietary intake patterns are maintained or changed between childhood and adolescence. More research is required to understand the predictors of these patterns. Using longitudinal data collected in China for 984 children initially aged 6--13 y, we examined children's dietary intake patterns over a 6-y period and the predictors. Detailed data on children's diets (three 24-h recalls in each survey), anthropometry, sociodemographic characteristics and parental education and occupation were collected. To study the predictors of tracking and changes, we conducted ordinary and multinomial logistic regression analyses. Significant correlations (r = 0.28-0.51, P < 0.05) between individuals' 1991 and 1997 dietary intakes were observed for macronutrients and major food groups (vegetable and fruit, meat and edible oil), which were also supported by kappa (a statistic measuring agreement beyond chance). About half of those who initially consumed high fat, high carbohydrate, high vegetable and fruit, and high meat diets continued such diets 6 y later. Family income, urban-rural residence, mother's education and baseline dietary intakes were important predictors of children's dietary intake patterns. In conclusion, even under conditions of rapid socioeconomic change, children are likely to maintain their dietary intake patterns from childhood into adolescence. Efforts to promote healthy eating behaviors may be more effective if focused on younger children, and parents should be involved in these efforts.

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Year:  2002        PMID: 11880567     DOI: 10.1093/jn/132.3.430

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  46 in total

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9.  Less traditional diets in Chinese mothers and children are similarly linked to socioeconomic and cohort factors but vary with increasing child age.

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