Dietary patterns change over two years in early adolescent girls in Hawai'i
- PMID: 29222904
- PMCID: PMC6020839
- DOI: 10.6133/apjcn.052017.01
Dietary patterns change over two years in early adolescent girls in Hawai'i
Abstract
Background and objectives: In investigating diet-disease relationships, examination of dietary patterns allows for conclusions to be drawn based on overall intake. This study characterized dietary patterns of early adolescent girls over a two-year period and examined the relationship between dietary patterns and body mass index (BMI).
Methods and study design: Cross-sectional analyses were performed using longitudinal data from food records of early adolescent girls (n=148) 9 to 14 years in Hawai'i from the Female Adolescent Maturation (FAM) study. Dietary patterns were identified using principal component analysis (PCA). Pearson's correlations between BMI percentile and z-score and dietary pattern factor scores at Times 1 (2001-2002) and 2 (2002-2003) were calculated. For each dietary pattern, participants were divided into low, intermediate, and high scorers. Mean BMI percentiles and z-scores were compared between groups using analysis of covariance.
Results: At Time 1, three patterns were identified, characterized by: (1) whole grains, nuts and seeds, added sugar; (2) non-whole grain, tomatoes, discretionary fat; and (3) deep yellow vegetables, other starchy vegetables, cooked dry beans/peas. At Time 2, three different dietary patterns emerged: (1) non-whole grains, meat, discretionary fat; (2) other vegetables, fish, eggs; and (3) whole grain, tomatoes, other vegetables. BMI percentile and z-score differed between high and low scorers on Time 1-Pattern 1 and Time 2-Pattern 3.
Conclusion: Results revealed changes in dietary patterns over time and an association between intake and BMI. Findings demonstrate the importance of frequent nutrition assessment to monitor changes in intake that may be improved to prevent obesity.
Similar articles
-
At-home and away-from-home dietary patterns and BMI z-scores in Brazilian adolescents.Appetite. 2018 Jan 1;120:374-380. doi: 10.1016/j.appet.2017.09.028. Epub 2017 Sep 28. Appetite. 2018. PMID: 28964906
-
A comparison of the dietary patterns derived by principal component analysis and cluster analysis in older Australians.Int J Behav Nutr Phys Act. 2016 Feb 29;13:30. doi: 10.1186/s12966-016-0353-2. Int J Behav Nutr Phys Act. 2016. PMID: 26928406 Free PMC article.
-
Dietary Patterns during Pregnancy Are Associated with Risk of Gestational Diabetes Mellitus.Nutrients. 2015 Nov 12;7(11):9369-82. doi: 10.3390/nu7115472. Nutrients. 2015. PMID: 26569302 Free PMC article.
-
Demographic, socioeconomic and nutritional determinants of daily versus non-daily sugar-sweetened and artificially sweetened beverage consumption.Eur J Clin Nutr. 2012 Feb;66(2):150-5. doi: 10.1038/ejcn.2011.138. Epub 2011 Aug 10. Eur J Clin Nutr. 2012. PMID: 21829215
-
[Simple obesity in children. A study on the role of nutritional factors].Med Wieku Rozwoj. 2006 Jan-Mar;10(1):3-191. Med Wieku Rozwoj. 2006. PMID: 16733288 Review. Polish.
Cited by
-
Prevalence, causes and contexts of childhood overweight and obesity in the Pacific region: a scoping review.Open Res Eur. 2023 Nov 20;3:52. doi: 10.12688/openreseurope.15361.2. eCollection 2023. Open Res Eur. 2023. PMID: 38031554 Free PMC article.
References
-
- U.S. Department of Health and Human Services, Health Resources and Services Administration, Maternal and Child Health Bureau. The Health and Well-Being of Children: A Portrait of States and the Nation, 2011–2012. Rockville, Maryland: U.S. Department of Health and Human Services; 2014.
-
- Sabin MA, Kiess W. Childhood obesity: current and novel approaches. Best Pract Res Clin Endocrinol Metab. 2015;29:327–38. - PubMed
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources