农民基础代谢指数与血糖水平的关系:印度尼西亚Jember Regency Pakusari公共卫生中心非传染性疾病的二次数据分析

Rizki Rama Aji, Tantut Susanto, Latifa Aini Susumaningrum, Mokhlas Kholidi, R. Yunanto
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引用次数: 0

摘要

肥胖是高血糖的一个危险因素。农民是一群有肥胖和高血糖风险的人,因为他们的生活方式是食用高脂肪和高碳水化合物的食物。本研究的目的是分析Pakusari Jember健康中心非传染性疾病综合发展站(Posbindu PTM)报告中农民的体重指数与血糖水平之间的关系。调查分析研究采用回顾性队列研究。采用设计分析2020年1月至10月在Posbindu PTM Pakusari Jember健康中心登记的345名农民的二次数据。采用有目的抽样的方法,选取农民345人作为研究样本。通过健康监测手册(KMS Posbindu PTM)测量参与者的特征、身高和体重以及随机血糖水平。采用卡方检验来回答研究的目的。146名农民中肥胖46.6%,高血糖45.9%。农民体重指数与血糖水平存在相关性(p值= 0.000)。体重指数间接影响血糖水平,表现为糖尿病和其他并发症。因此,肥胖应被确定为与农民血糖水平相关的危险因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Relationship Between Basal Metabolism Index and Blood Sugar Levels Among Farmers: a Secondary Data Analysis of Non-Communicable Disease in Public Health Center of Pakusari, Jember Regency, Indonesia
Obesity is a risk factor for hyperglycemia. Farmers are a group of people at risk of obesity and hyperglycemia due to a lifestyle that consumes foods high in fat and carbohydrates. The aim of this study wants to analyze the relationship between body mass index and blood sugar levels of farmers in the report of Integrated Development Post of Non-Communicable Disease (Posbindu PTM) Pakusari Jember Health Center. The survey analysis study used a retrospective cohort study. A design was used to analyze secondary data of Posbindu PTM Pakusari Jember Health Center registered from January to October 2020 among 345 farmers. A population of 345 farmers was selected by purposive sampling to be used as research samples. Characteristics of participants, height and weight, and random blood sugar levels were measured through a health monitoring book (KMS Posbindu PTM). The chi-Square test was used to answer the objective of the study. Among 146 farmers identified that 46.6% were obese and 45.9% were hyperglycemia. There was a relationship between body mass index and blood sugar levels in farmers (p-value = 0.000). Indirectly, body mass index affects blood sugar levels, manifesting as diabetes mellitus and other complications. Therefore, obesity should be identified as a risk factor associated with farmers' blood sugar levels.
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