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首页> 外文期刊>Indian Journal of Community Medicine >Risk Factor Scenario in an Industrial Set-up: Need for an Effective Screening Tool to Assess the High-Risk Group
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Risk Factor Scenario in an Industrial Set-up: Need for an Effective Screening Tool to Assess the High-Risk Group

机译:工业设置中的风险因素情景:需要有效的筛选工具来评估高风险组

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摘要

Background: Industrial and technological revolution has resulted in nutrition transition. This calls for analyzing the risk factor scenario in the industrial population. Objective: The objective was to map the prevalence and assess the risk factors of industrial employees. Materials and Methods: The employees of a large petrochemical industry were enrolled ( N =269) for the study. Risk factors were elicited through a structured questionnaire. Parameters monitored were fasting blood sugar and lipid profile. Relative risk was calculated to find out significant predictor variables. Results: The employees had high prevalence of overweight (27%), obesity (22%), central obesity (48.7%), prehypertension (43.2%), hypertension (36.6%), and dyslipidemia (41.4%). They had erroneous dietary habits such as low intake of fruits and vegetables and high fat intake. Most of the employees had low physical activity levels. The prevalence of smoking (13.5%), tobacco (28.2%), and alcohol use (22.2%) were also high with 15.1% having multiple habits. One-fifth of the employees had metabolic syndrome (MS). Seven predictor variables, namely, family history, BMI, WHR, blood pressure, physical inactivity, TG, and TG/H were identified and used to develop the risk score card to identify people at high risk of CVD and DM. Conclusion: Multiple risk factor scenario among the industrial population studied calls for effective intervention strategies and policy changes to combat the burden of non-communicable diseases. The risk score card can be used to screen the high-risk group in the industrial population.
机译:背景:工业和技术革命导致营养过渡。这次要求分析工业人口的风险因素情景。目的:目标是映射普遍存在,评估工业员工的风险因素。材料和方法:对该研究进行了大型石化工业的员工(n = 269)。通过结构化问卷引发危险因素。监测的参数是空腹血糖和脂质型材。计算相对风险以找出显着的预测变量。结果:员工患有超重患病率(27%),肥胖(22%),中央肥胖(48.7%),粉末(43.2%),高血压(36.6%)和血脂血症(41.4%)。他们有错误的饮食习惯,如水果和蔬菜的低摄入量和高脂肪摄入量。大多数员工的身体活动水平低。吸烟的患病率(13.5%),烟草(28.2%)和酒精使用(22.2%)也高,具有多种习惯的15.1%。员工的五分之一有代谢综合征(MS)。七种预测因子变量,即家庭历史,BMI,WHR,血压,物理不活动,TG和TG / H,并用于开发风险记分卡,以识别CVD和DM的高风险。结论:研究工业人口中的多种风险因素情景,呼吁有效干预战略和政策变化,以打击非传染性疾病的负担。风险记分卡可用于筛选工业人口中的高风险组。

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