One-year trajectories of nutritional status in perimenopausal women: a community-based multi-centered prospective study

Abstract Background Nutritional status is a modifiable factor associated with perimenopausal women’s health and quality of life. Assessing body composition indicators helps to comprehensively understand nutritional status compared with using body mass index (BMI) only. However, few published studies...

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Main Authors: Shujuan Liao, Li Zhao, Chuanya Huang, Anqi Xiong, Weijun Xiong, Yirong He, Xiao Huang, Victoria Hunter, Biru Luo
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Public Health
Subjects:
Online Access:https://doi.org/10.1186/s12889-024-18405-0
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author Shujuan Liao
Li Zhao
Chuanya Huang
Anqi Xiong
Weijun Xiong
Yirong He
Xiao Huang
Victoria Hunter
Biru Luo
author_facet Shujuan Liao
Li Zhao
Chuanya Huang
Anqi Xiong
Weijun Xiong
Yirong He
Xiao Huang
Victoria Hunter
Biru Luo
author_sort Shujuan Liao
collection DOAJ
description Abstract Background Nutritional status is a modifiable factor associated with perimenopausal women’s health and quality of life. Assessing body composition indicators helps to comprehensively understand nutritional status compared with using body mass index (BMI) only. However, few published studies measured the trends in body composition among perimenopausal women. Objectives To assess the one-year trajectory of the nutritional status of perimenopausal women and to explore its influential factors. Methods A community-based observational study with 3-wave repeated measurements at 6-month intervals was carried out. The nutritional status indicators include weight, body mass index (BMI), and body composition variables. Bioelectrical impedance analysis was used to assess body composition. Repeated measures ANOVA and Chi-square test were used to calculate the changes in nutritional status and generalized estimating equations were performed to explore their influential factors. Results 2760 participants completed the study. Increasing trajectories in weight (from 56.05 ± 7.55 to 57.02 ± 7.60), fat mass (from 17.99 ± 4.80 to 20.49 ± 4.90), and waist-hip ratio (from 0.86 ± 0.04 to 0.91 ± 0.15) were found (P < 0.001). Decreasing trajectories in skeletal muscle (from 20.30 ± 2.38 to 19.19 ± 2.46), protein level (from 7.39 ± 0.79 to 7.06 ± 0.81), and total body water (from 27.87 ± 2.92 to 27.00 ± 3.01) were found (P < 0.001). Being married/unmarried with a partner and without negative life events were associated with higher total body water, skeletal muscle, and protein level, while negatively associated with fat mass and waist-hip ratio. Age was positively associated with fat mass (P < 0.001). Participants with junior high school education were prone to increased fat mass (P = 0.018) compared with those holding primary school education and below. A per capita monthly income of 1500 to 3000 Yuan was associated with higher total body water, skeletal muscle, and protein level (P < 0.001) compared with a per capita monthly income of less than 1500 Yuan. Conclusion Worsening nutritional status exists in perimenopausal women, which is characterized by increased weight, fat mass, and waist-hip ratio, and decreased skeletal muscle, total body water, and protein level. For greater efficiency, precision nutritional interventions are needed, and recipients should be classified into different risk levels based on their sociodemographic background.
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spelling doaj.art-a22fff9a46704a5fb38b8eded2debfc22024-03-31T11:37:46ZengBMCBMC Public Health1471-24582024-03-0124111010.1186/s12889-024-18405-0One-year trajectories of nutritional status in perimenopausal women: a community-based multi-centered prospective studyShujuan Liao0Li Zhao1Chuanya Huang2Anqi Xiong3Weijun Xiong4Yirong He5Xiao Huang6Victoria Hunter7Biru Luo8Department of Nursing, West China Second University Hospital, Sichuan UniversityDepartment of Health Policy and Management, West China School of Public Health and West China Fourth Hospital, Sichuan UniversityDepartment of Nursing, West China Second University Hospital, Sichuan UniversityDepartment of Nursing, West China Second University Hospital, Sichuan UniversityChengdu Zhongke Zhiyong Information Technology Co., LTDDepartment of Nursing, West China Second University Hospital, Sichuan UniversitySichuan DailyYa’an Polytechnic CollegeDepartment of Nursing, West China Second University Hospital, Sichuan UniversityAbstract Background Nutritional status is a modifiable factor associated with perimenopausal women’s health and quality of life. Assessing body composition indicators helps to comprehensively understand nutritional status compared with using body mass index (BMI) only. However, few published studies measured the trends in body composition among perimenopausal women. Objectives To assess the one-year trajectory of the nutritional status of perimenopausal women and to explore its influential factors. Methods A community-based observational study with 3-wave repeated measurements at 6-month intervals was carried out. The nutritional status indicators include weight, body mass index (BMI), and body composition variables. Bioelectrical impedance analysis was used to assess body composition. Repeated measures ANOVA and Chi-square test were used to calculate the changes in nutritional status and generalized estimating equations were performed to explore their influential factors. Results 2760 participants completed the study. Increasing trajectories in weight (from 56.05 ± 7.55 to 57.02 ± 7.60), fat mass (from 17.99 ± 4.80 to 20.49 ± 4.90), and waist-hip ratio (from 0.86 ± 0.04 to 0.91 ± 0.15) were found (P < 0.001). Decreasing trajectories in skeletal muscle (from 20.30 ± 2.38 to 19.19 ± 2.46), protein level (from 7.39 ± 0.79 to 7.06 ± 0.81), and total body water (from 27.87 ± 2.92 to 27.00 ± 3.01) were found (P < 0.001). Being married/unmarried with a partner and without negative life events were associated with higher total body water, skeletal muscle, and protein level, while negatively associated with fat mass and waist-hip ratio. Age was positively associated with fat mass (P < 0.001). Participants with junior high school education were prone to increased fat mass (P = 0.018) compared with those holding primary school education and below. A per capita monthly income of 1500 to 3000 Yuan was associated with higher total body water, skeletal muscle, and protein level (P < 0.001) compared with a per capita monthly income of less than 1500 Yuan. Conclusion Worsening nutritional status exists in perimenopausal women, which is characterized by increased weight, fat mass, and waist-hip ratio, and decreased skeletal muscle, total body water, and protein level. For greater efficiency, precision nutritional interventions are needed, and recipients should be classified into different risk levels based on their sociodemographic background.https://doi.org/10.1186/s12889-024-18405-0MenopauseNutritionBody compositionLongitudinalCommunity health
spellingShingle Shujuan Liao
Li Zhao
Chuanya Huang
Anqi Xiong
Weijun Xiong
Yirong He
Xiao Huang
Victoria Hunter
Biru Luo
One-year trajectories of nutritional status in perimenopausal women: a community-based multi-centered prospective study
BMC Public Health
Menopause
Nutrition
Body composition
Longitudinal
Community health
title One-year trajectories of nutritional status in perimenopausal women: a community-based multi-centered prospective study
title_full One-year trajectories of nutritional status in perimenopausal women: a community-based multi-centered prospective study
title_fullStr One-year trajectories of nutritional status in perimenopausal women: a community-based multi-centered prospective study
title_full_unstemmed One-year trajectories of nutritional status in perimenopausal women: a community-based multi-centered prospective study
title_short One-year trajectories of nutritional status in perimenopausal women: a community-based multi-centered prospective study
title_sort one year trajectories of nutritional status in perimenopausal women a community based multi centered prospective study
topic Menopause
Nutrition
Body composition
Longitudinal
Community health
url https://doi.org/10.1186/s12889-024-18405-0
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