Dataset Information

Trends of central obesity and associations with nutrients intake and daily behaviors among women of childbearing age in China.

ABSTRACT:

Background

Obesity among women of childbearing age has becoming an important public health concern. We aimed to describe the trends of central obesity among Chinese women of childbearing age from 2004 to 2011 and to examine its associations with nutrients intake and daily behaviors.

Methods

Longitudinal data were derived from the China Health and Nutrition Survey. Participants consisted of 2481 women aged 15-44 years old. WC (Waist circumference) and WHtR (Waist to height ratio) were adopted as indicators of central obesity. Generalized linear mixed model was performed to analyze the associations of nutrients intake and daily behaviors with central obesity.

Results

From 2004 to 2011, the prevalence of central obesity among Chinese women of childbearing age increased from 21.6 to 30.7% (WC as indice) or from 22.8 to 32.6% (WHtR as indice) (both p < 0.001). Protein intake above the AMDR (Acceptable macronutrient distribution range) (OR = 1.21, 95% CI 1.05-1.39, p < 0.01) and non-participation in LTPA (Leisure time physical activity) (OR = 1.45, 95% CI 1.17-1.80, p < 0.001) were risk factors for high WC, and the latter was also associated with high WHtR (OR = 1.36, 95% CI 1.10-1.67, p < 0.01). For those women who had high WC & high WHtR, the impacts of protein intake and LTPA became stronger, especial LTPA (OR = 1.53, 95% CI 1.21-1.94, p < 0.001). Age-stratified analyses found that non-participation in LTPA was key factor for central obesity in 15-34 age group, while protein intake above the AMDR was pronounced in the 35-44 age group.

Conclusions

Non-participation in LTPA and protein intake above the AMDR were significant contributors of central obesity, which could be intervention targets to deal with the growing trend of central obesity among women of childbearing age.

SUBMITTER: Long Z

PROVIDER: S-EPMC8753840 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundWomen of childbearing age (WCBA) and women of menopausal age (WMENO) have distinct nutritional needs. Understanding nutrient intake and status in these life stages is critical for tailoring dietary recommendations.ObjectivesThe objectives of this study were to evaluate total estimated usual nutrient intakes from food and food plus supplements and to compare these to established recommendations for WCBA and WMENO life stages and examine associations between self-reported estimated usual intakes and nutrient status biomarkers.MethodsTwenty-four-hour dietary recall data from 2011-2016 NHANES were used to estimate usual intake of nutrients from food and food plus supplements for WCBA (aged 15-44 y, n = 4,134) and WMENO (aged 40-65 y, n = 3,438). Estimates of mean usual intake were derived and compared across clinically defined nutrient biomarker categories.ResultsBoth young (aged 15-30 y) and older (aged 31-44 y) WCBA had intakes from food below the Estimated Average Requirement (EAR) for calcium (49% and 44%, respectively), magnesium (62%, 44%), and vitamins A (50%, 44%), C (47%, 46%), D (>97%, >97%), and E (92%, 88%). Similarly, perimenopausal (aged 40-50 y) and menopausal (aged 51-65 y) women had intakes from food below the EAR for calcium (48% and 74%, respectively), magnesium (50%, 49%), and vitamins A (44%, 37%), C (44%, 41%), D (>97%, >97%), and E (88%, 86%). Nutrient gaps decreased with supplement usage. For folate, vitamins D and B-12, and DHA, women in the lowest biomarker category (indicating increased risk of deficiency) had significantly lower intake from food (315.2 ± 25.9 compared with 463.8 ± 5.2 µg dietary folate equivalents, 3.5 ± 0.1 compared with 4.2 ± 0.1 µg, 3.6 ± 0.2 compared with 4.3 ± 0.1 µg, and 0.037 ± 0.005 compared with 0.070 ± 0.006 g, respectively; P < 0.01) of the corresponding nutrient compared with the highest biomarker category.ConclusionsSubstantial percentages of WCBA and WMENO are not meeting recommendations for multiple nutrients, whereas supplement usage partially fills nutrient gaps. Dietary intake was positively associated with most nutrient status biomarkers. Specific guidance is needed to ensure adequate nutrient intakes and nutrient status during these critical life stages.