The association between physical activity and body fat percentage with adjustment for body mass index among middle-aged adults: China health and nutrition survey in 2015

Zou, Qinpei; Su, Chang; Du, Wenwen; Yu, Ouyang; Wang, Huijun; Wang, Zhihong; Ding, Gangqiang; Zhang, Bing

doi:10.1186/s12889-020-08832-0

Cited by 17 publications

(14 citation statements)

References 39 publications

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“…There are some limitations in this study. First, confounding factors, such as daily activity hours and nutritional states, may affect body composition and bioimpedance characteristics ( 72 , 73 ). Second, segmental impedance variables were derived directly from BIA measurements, whereas body composition and segmental water compartments were estimated based on these impedance variables; therefore, accuracy may vary between ethnicity, age, sex, and manufacturer.…”

Section: Discussionmentioning

confidence: 99%

Segmental Bioimpedance Variables in Association With Mild Cognitive Impairment

Doan

Kim

et al. 2022

Front. Nutr.

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ObjectiveTo examine the changes in body composition, water compartment, and bioimpedance in mild cognitive impairment (MCI) individuals.MethodsWe obtained seven whole-body composition variables and seven pairs of segmental body composition, water compartment, and impedance variables for the upper and lower extremities from the segmental multi-frequency bioelectrical impedance analysis (BIA) of 939 elderly participants, including 673 cognitively normal (CN) people and 266 individuals with MCI. Participants’ characteristics, anthropometric information, and the selected BIA variables were described and statistically compared between the CN participants and those with MCI. The correlations between the selected BIA variables and neuropsychological tests such as the Korean version of the Mini-Mental State Examination and Seoul Neuropsychological Screening Battery – Second Edition were also examined before and after controlling for age and sex. Univariate and multivariate logistic regression analyses with estimated odds ratios (ORs) were conducted to investigate the associations between these BIA variables and MCI prevalence for different sexes.ResultsParticipants with MCI were slightly older, more depressive, and had significantly poorer cognitive abilities when compared with the CN individuals. The partial correlations between the selected BIA variables and neuropsychological tests upon controlling for age and sex were not greatly significant. However, after accounting for age, sex, and the significant comorbidities, segmental lean mass, water volume, resistance, and reactance in the lower extremities were positively associated with MCI, with ORs [95% confidence interval (CI)] of 1.33 (1.02–1.71), 1.33 (1.03–1.72), 0.76 (0.62–0.92), and 0.79 (0.67–0.93), respectively; with presumably a shift of water from the intracellular area to extracellular space. After stratifying by sex, resistance and reactance in lower extremities remained significant only in the women group.ConclusionAn increase in segmental water along with segmental lean mass and a decrease in body cell strength due to an abnormal cellular water distribution demonstrated by reductions in resistance and reactance are associated with MCI prevalence, which are more pronounced in the lower extremities and in women. These characteristic changes in BIA variables may be considered as an early sign of cognitive impairment in the elderly population.

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Section: Discussionmentioning

confidence: 99%

Segmental Bioimpedance Variables in Association With Mild Cognitive Impairment

Doan

Kim

et al. 2022

Front. Nutr.

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“…Based on the bioelectrical impedance analysis (BIA), BF% was calculated to the nearest 0.1% according to a proprietary algorithm that required age, sex, height, and physical activity level inputs by investigators. The method has been validated previously and employed regularly in other studies ( 17 , 19 ). The current study recorded the total BF% (ratio of total body fat mass and total body mass) and trunk BF% (ratio of trunk fat mass and trunk mass) separately, and performed quintiles of them for analysis.…”

Section: Methodsmentioning

confidence: 99%

Longitudinal relationship between body fat percentage and risk of type 2 diabetes in Chinese adults: Evidence from the China Health and Nutrition Survey

Zhang

Jiang

Wang

et al. 2022

Front. Public Health

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ObjectiveBody fat percentage (BF%) might be an alternative index of obesity which is the major risk factor for developing type 2 diabetes (T2D). We aim to longitudinally evaluated the relationship between BF% and risk of T2D.MethodsA sample of 5,595 adults aged 18–65 who participated in two waves of China Health and Nutrition Survey (CHNS 2015 and 2018) was analyzed. Two level mixed-effects modified Poisson regression with robust estimation of variance stratified by sex was used to evaluate the risk ratios (RRs) for T2D according to quintiles of BF%, and the curves of receiver operating characteristic (ROC) were plotted to identify the optimal total and trunk BF% cut-off points for predicting an increased T2D risk.ResultsIn males, compared with subjects in the first quintile of total BF%, those in the third (RR = 2.03, 95% CI 1.09–3.79), fourth (RR = 2.56, 95%CI 1.46–4.48), and fifth (RR = 2.16, 95%CI 1.22–3.82) quintile had higher risk of T2D after adjusting for all potential confounders (p-trend < 0.001). For females, the RR (95% CI) was 1.92 (1.14, 3.24) in the fifth quintile (p-trend = 0.014). Males and females with a trunk BF% >25.5 and 34.4% (≥ quintile 4), respectively, were at significantly increased risk of T2D (p-trend = 0.001). Besides, the optimal cut-off values of total and trunk BF% were 21.9 and 25.2% for males, and 36.7 and 30.3% for females, respectively.ConclusionsThe incident risk of T2D significantly increased over specific level of total and trunk BF% in both Chinese males and females, and the optimal BF% cut-off values were valuable for clinical application of BF% based on sex difference, which may be a cost-effective implementation for prevention and treatment of T2D in China.

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“…Although physical activity’s effects on body composition [12,13] may be a mechanism that partly explains the physical activity influences on cardiac autonomic function, aerobic fitness may be a more important determinant of cardiac autonomic function than moderate-to-vigorous physical activity and body fat [14]. However, most studies have been performed in patients with risk factors for cardiovascular disease [4,5,10,15,16] or with athletes [17].…”

Section: Introductionmentioning

confidence: 99%

Physical activity influences heart rate variability in young adults, regardless of dextrose ingestion

Oliveira

Novelli

Alves-Santos

et al. 2022

Blood Pressure Monitoring

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Introduction: Cardiac autonomic modulation can be altered by carbohydrate ingestion. On the other hand, some of the protective effects of physical activity may be due to its impact on the autonomic nervous system. Purpose This cross-sectional study was conducted to evaluate whether physical activity level influences heart rate variability (HRV) under fasting and mainly, after dextrose ingestion. Methods Healthy adults aged 18–40 years (n = 92; 54.35 % women) were separated into nonactive (n = 47) and active groups (n = 45), based on the physical activity level determined by International Physical Activity Questionnaire (IPAQ) and then compared. Results There were no significant differences (P > 0.05) for age, body mass, BMI, abdominal circumference, blood pressure, fasting glucose and blood glucose at 60 min after dextrose ingestion between groups. Body fat (%) was lower in the active group (P = 0.02). The time-domain indices (RMSSD, SDNN and pNN50) were higher in the physically active group compared to the nonactive group (main effect of group, P < 0.01). The SDNN index was higher at 60 min after dextrose ingestion compared to fasting (main effect of time, P ≤ 0.01). However, no HRV indices showed significantly interaction effect (group x time; P > 0.05). Conclusion The magnitude of HRV responses to glucose was not influenced by physical activity status. Young adults who met at least the minimum physical activity recommendations showed a higher cardiac autonomic modulation, regardless of dextrose ingestion.

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The association between physical activity and body fat percentage with adjustment for body mass index among middle-aged adults: China health and nutrition survey in 2015

Cited by 17 publications

References 39 publications

Segmental Bioimpedance Variables in Association With Mild Cognitive Impairment

Segmental Bioimpedance Variables in Association With Mild Cognitive Impairment

Longitudinal relationship between body fat percentage and risk of type 2 diabetes in Chinese adults: Evidence from the China Health and Nutrition Survey

Physical activity influences heart rate variability in young adults, regardless of dextrose ingestion

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