Body Mass Index and its Predictive Factors in Rasht, Iran

Q3 Nursing
Payesh Pub Date : 2020-10-01 DOI:10.29252/payesh.19.5.549
Abolfazl Etebarian Khorasgani, Atefeh Ghanbari Khanghah, S. Mirhasani, Seyed Hamid Sharif Nia
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引用次数: 0

Abstract

2020] Objective (s ) : Body mass index (BMI) is one of the major contributors to the spread of non-communicable diseases that it is affected by various factors such as demographic variables and living environment. The aim of this study was to investigate body mass index and its predictors in Rash, Iran. Methods: This was a cross sectional study that performed on 1,000 residents of 5 neighborhoods in Rasht, 2017. Data were collected using a questionnaire including residents’ characteristics and living environment indicators derived from the Foxton and Jones Social Capital questionnaire. Every participants’ height and weight were measured. Simple and multivariate linear regression using SPSS v.20 was used for data analysis. Results: The prevalence of overweight and obesity in the study population was %55.5 and the results showed that age (B = -0.031, P <0.023), not having children (B = -2.466, P <0.001), not having non-communicable diseases (B = -1.016, P<0.003) and duration of residence in residential environment (B = 0.172, P<0.040) were independent predictors of BMI increasing. Conclusions: Due to the high prevalence of obesity and overweight in different age groups, identifying predictive factors in populations with different culture is very important. Indeed, preventive steps should be taken in health's macro
伊朗拉什特地区体质指数及其预测因素
[2020]目标:身体质量指数(BMI)是导致非传染性疾病传播的主要因素之一,它受到人口变量和生活环境等各种因素的影响。本研究的目的是调查伊朗拉什地区的体重指数及其预测因子。方法:这是一项横断面研究,对2017年拉什特5个社区的1000名居民进行了调查。数据收集使用问卷调查,包括居民特征和生活环境指标来自福克斯顿和琼斯社会资本问卷。测量了每个参与者的身高和体重。采用SPSS v.20进行简单多元线性回归分析。结果:研究人群超重和肥胖患病率为%55.5,年龄(B = -0.031, P< 0.023)、无子女(B = -2.466, P< 0.001)、无非传染性疾病(B = -1.016, P<0.003)和居住环境居住时间(B = 0.172, P<0.040)是BMI升高的独立预测因素。结论:由于肥胖和超重在不同年龄组的患病率较高,确定不同文化人群的预测因素非常重要。的确,应该在健康的宏观层面采取预防措施
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来源期刊
CiteScore
0.70
自引率
0.00%
发文量
25
审稿时长
40 weeks
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