饮食模式、体育活动与基于腰臀围比的肥胖事件的关系

Yuli Rahmadani, Tri Ardianti Khasanah
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引用次数: 0

摘要

肥胖症是一种慢性健康问题,由多种多因素引起,如遗传因素、环境因素、不适当的饮食行为和体力活动少等。本研究旨在根据雅加达 Lantamal III 卫生服务机构人员的腰臀围比率,分析饮食模式和空闲时间体育活动与肥胖发生率之间的关系。该研究是一项横断面设计的定量研究。共有 66 名符合纳入标准并同意知情同意的受试者接受了人体测量并填写了调查问卷。饮食模式数据采用食物频率问卷(FFQ)形式,闲暇时间体力活动数据采用戈丁闲暇时间运动问卷(GLTEQ)形式。数据采用 Chi-Square 检验法进行分析。54.5%的研究对象属于肥胖,63.6%的研究对象饮食习惯良好,56.1%的研究对象很少摄入含有纤维的食物。研究发现,在很少摄入纤维的研究对象中,83.8%的人处于肥胖营养状况,而在闲暇时间体育活动较少的研究对象中,96.4%的人处于肥胖营养状况。双变量统计分析结果表明,纤维食物来源的摄入频率和活动量与肥胖发生率之间存在显著关系(p 值<0.05)。因此,可以得出结论,纤维摄入量低和运动量减少会增加肥胖症的发病率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Eating Patterns, Physical Activities with the Event of Obesity Based on Waist-Hip Circumstances Ratio
Obesity is a chronic health problem caused by various multifactorial factors, such as genetic factors, environmental factors, inappropriate eating behavior and low physical activity. The research aims to analyze the relationship between eating patterns and free time physical activity with the incidence of obesity based on the waist-hip circumference ratio in Jakarta Lantamal III Health Service personnel. The research is a quantitative study with a cross-sectional design. A total of 66 subjects who met the inclusion criteria and agreed to informed consent underwent anthropometric measurements and filled out questionnaires. Dietary pattern data uses the food frequency questionnaire (FFQ) form, leisure time physical activity data is taken using the Godin leisure time exercise questionnaire (GLTEQ). The data were analyzed using the Chi-Square test. 54,5% of research subjects were obese, 63,6% of subjects had a good diet, and 56,1% of subjects rarely consumed food sources of fiber. and subjects with light leisure time physical activity category, namely 42,4%. It was found that 83,8% of research subjects who rarely consumed fiber had obese nutritional status and 96,4% of research subjects who had light free time physical activity had obese nutritional status. The results of bivariate statistical analysis showed that there was a significant relationship between the frequency of consumption of food sources of fiber and activity. physical leisure time with the incidence of obesity (p-value<0,05). So, it can be concluded that low fiber consumption and reduced levels of physical activity can increase the incidence of obesity.
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