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按独立于常见代谢健康临床指标的方式分组的人体测量指标:探索性因子分析。

Body Size Measurements Grouped Independently of Common Clinical Measures of Metabolic Health: An Exploratory Factor Analysis.

机构信息

Department of Nutrition Sciences, University of Alabama at Birmingham, Birmingham, AL 35233, USA.

Department of Family and Community Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.

出版信息

Nutrients. 2024 Aug 27;16(17):2874. doi: 10.3390/nu16172874.

DOI:10.3390/nu16172874
PMID:39275189
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11396867/
Abstract

BACKGROUND

Obesity is commonly aggregated with indices of metabolic health. Proponents of body positivity approaches question whether body size is a determinant of health and well-being. Our objective was to conduct an exploratory factor analysis (EFA) to determine if body size measurements factor load with or independent of metabolic health measures.

METHODS

The EFA was conducted on = 249 adults using baseline data from four weight loss trials (Sample 1: = 40; Sample 2: = 52; Sample 3: = 53; Sample 4: = 104). An EFA of nine items (systolic blood pressure [SBP], diastolic blood pressure [DBP], hemoglobin A1c [HbA1c], HDL-cholesterol [HDL], LDL-cholesterol [LDL], total cholesterol [TC], body mass index [BMI], body fat percent BF%], and waist circumference [WC]) was conducted with oblique rotation.

RESULTS

Three factors were retained, which produced a model explaining 87.5% of the variance. Six items loaded strongly (>0.8) under three components and were selected for retention (Factor 1: LDL and TC; Factor 2: BMI and WC; Factor 3: SBP and DBP).

CONCLUSION

Body size measures loaded separately from measures of metabolic health and metabolic health were further split into lipid- and blood pressure-focused factors. These results support weight-neutral interventions to improve overall health and well-being.

摘要

背景

肥胖通常与代谢健康指数聚集在一起。身体积极性方法的支持者质疑身体大小是否是健康和幸福的决定因素。我们的目的是进行探索性因素分析(EFA),以确定身体大小测量值是否与代谢健康测量值相关或独立。

方法

使用四项减肥试验的基线数据(样本 1:= 40;样本 2:= 52;样本 3:= 53;样本 4:= 104)对 249 名成年人进行 EFA。对 9 项指标(收缩压[SBP]、舒张压[DBP]、血红蛋白 A1c[HbA1c]、高密度脂蛋白胆固醇[HDL]、低密度脂蛋白胆固醇[LDL]、总胆固醇[TC]、体重指数[BMI]、体脂肪百分比[BF%]和腰围[WC])进行了 EFA 分析,采用斜交旋转。

结果

保留了三个因素,该模型解释了 87.5%的方差。六项指标在三个成分下强烈加载(>0.8),并被选为保留(因子 1:LDL 和 TC;因子 2:BMI 和 WC;因子 3:SBP 和 DBP)。

结论

身体大小测量值与代谢健康测量值分开加载,代谢健康进一步分为脂质和血压为重点的因素。这些结果支持以体重中性干预措施来改善整体健康和幸福感。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eff/11396867/4a9e903701b6/nutrients-16-02874-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eff/11396867/69716bab5d94/nutrients-16-02874-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eff/11396867/4a9e903701b6/nutrients-16-02874-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eff/11396867/69716bab5d94/nutrients-16-02874-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eff/11396867/4a9e903701b6/nutrients-16-02874-g002.jpg

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