印度尼西亚三大城市肥胖和非肥胖受试者的人体测量和身体成分分析:横断面研究

IF 1.9 Q3 ENDOCRINOLOGY & METABOLISM
Nadya Keumala Fitri , Dina Keumala Sari , Nur Indrawaty Lipoeto
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引用次数: 0

摘要

背景为了及早发现肥胖症,需要进行筛查,但如果通过人体测量学检查和身体成分测量发现的肥胖症不正确,那么肥胖症的病例就会增加,到那时再预防就为时已晚了。本研究的目的是找出成年非运动员男性和女性的人体测量参数和身体成分参数(如脂肪量)之间的相关性。研究设计为横断面研究,包括来自印度尼西亚三个城市的 255 名男性和女性。研究对象年龄为 18-60 岁,接受了人体测量和身体成分检查。评估参数包括体重指数(BMI)、腰围、内脏脂肪、脂肪量、无脂肪量指数(FFMI)和归一化 FFMI;BMI 和脂肪量用于比较。结果表明,体重指数、腰围和内脏脂肪在男性与女性、肥胖与非肥胖之间的差异最大。体重指数是一个与脂肪量有较强相关性的因素(r=0.687);此外,腰围可作为一个与脂肪量有中等相关性的参数(r=0.46),内脏脂肪与脂肪量的相关性较弱(r=0.348)。腰围与体重指数也有很强的相关性(r=0.785)。结论 本研究发现,体重指数可作为检测非运动员男性和女性肥胖的有力评估指标,而腰围和内脏脂肪可作为检测肥胖的简易评估指标,以起到预防作用。此外,FFMI 和归一化 FFMI 比 BMI 或腰围更能准确检测肥胖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Anthropometric and body composition analysis in obese and non-obese subjects in three major cities in Indonesia: A cross-sectional study

Background

Screening is needed for the early detection of obesity, but if detection through anthropometric examinations and body composition measurements is not correct, then cases of obesity will increase and it will be too late to prevent. The aim of this study was to find a correlation between anthropometric parameters and body composition parameters such as fat mass in adult non-athlete males and females.

Patients and Methods

The study design was cross-sectional and included 255 men and women from three cities in Indonesia. The research subjects were 18-60 years old and underwent anthropometric and body composition examinations. The parameters assessed were body mass index (BMI), waist circumference, visceral fat, fat mass, fat-free mass index (FFMI), and normalized FFMI; BMI and fat mass was used for comparison. For further analysis, the chi-squared test and Spearman's correlation were used.

Results

The results show that BMI, waist circumference, and visceral fat had the highest difference between men-women, and in obese-non obese cases. Body mass index is a factor that has a strong correlation with fat mass (r=0.687); additionally, waist circumference can be used as a parameter that has a medium correlation with fat mass (r=0.46) and visceral fat has weak correlation with fat mass (r=0.348). Waist circumference also had a strong correlation with BMI (r=0.785). While FFMI and normalized FFMI showed correlation to BMI, but not to fat mass.

Conclusions

This study found that BMI can be used as a strong assessment to detect obesity in men and women who are not athletes, besides that waist circumference and visceral fat can be used as a easy assessment to detect obesity as a prevention action. Apart from that, FFMI and normalized FFMI can be more accurate for obese detection based on BMI or waist circumference.

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来源期刊
Human Nutrition and Metabolism
Human Nutrition and Metabolism Agricultural and Biological Sciences-Food Science
CiteScore
1.50
自引率
0.00%
发文量
30
审稿时长
188 days
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