Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, India
Public Health and Mortality Studies, International Institute for Population Sciences, Mumbai, India.
BMJ Open. 2022 Feb 24;12(2):e053757. doi: 10.1136/bmjopen-2021-053757.
To identify the latent classes of modifiable risk factors among the patients with diabetes and hypertension based on the observed indicator variables: smoking, alcohol, aerated drinks, overweight or obesity, diabetes and hypertension. We hypothesised that the study population diagnosed with diabetes or hypertension is homogeneous with respect to the modifiable risk factors.
A cross-sectional study using a stratified random sampling method and a nationally representative large-scale survey.
Data come from the fourth round of the Indian National Family Health Survey, 2015-2016. Respondents aged 15-49 years who were diagnosed with either diabetes or hypertension or both were included. The total sample is 22 249, out of which 3284 were men and 18 965 were women.
The observed variables used as latent indicators are the following: smoking, alcohol, aerated drinks, overweight or obesity, diabetes and hypertension. The concomitant variables include age, gender, education, marital status and household wealth index. Latent class model was used to simultaneously identify the latent class and to determine the association between the concomitant variables and the latent classes.
Three latent classes were identified and labelled as class 1: 'diabetic with low-risk lifestyle' (21%), class 2: 'high-risk lifestyle' (8%) and class 3: 'hypertensive with low-risk lifestyle' (71%). Class 1 is characterised by those with a high probability of having diabetes and low probability of smoking and drinking alcohol. Class 2 is characterised by a high probability of smoking and drinking alcohol and class 3 by a high probability of having high blood pressure and low probability of smoking and drinking alcohol.
Co-occurrence of smoking and alcohol consumption was prevalent in men, while excess body weight and high blood pressure were prevalent in women. Policy and programmes in Northeastern India should focus on targeting multiple modifiable risk behaviours that co-occur within an individual.
根据观察指标变量(吸烟、饮酒、碳酸饮料、超重或肥胖、糖尿病和高血压),确定糖尿病和高血压患者可改变的危险因素的潜在类别。我们假设研究人群在可改变的危险因素方面是同质的。
这是一项使用分层随机抽样方法和全国性大规模调查的横断面研究。
数据来自 2015-2016 年印度国家家庭健康调查第四轮,纳入年龄在 15-49 岁之间、被诊断为糖尿病或高血压或两者兼有的受访者。总样本为 22249 人,其中 3284 人为男性,18965 人为女性。
作为潜在指标使用的观察变量为:吸烟、饮酒、碳酸饮料、超重或肥胖、糖尿病和高血压。伴随变量包括年龄、性别、教育、婚姻状况和家庭财富指数。使用潜在类别模型同时识别潜在类别,并确定伴随变量与潜在类别的关联。
确定了三个潜在类别,分别标记为类别 1:“低生活方式风险的糖尿病患者”(21%)、类别 2:“高风险生活方式”(8%)和类别 3:“低生活方式风险的高血压患者”(71%)。类别 1 的特点是患有糖尿病的可能性高,而吸烟和饮酒的可能性低。类别 2 的特点是吸烟和饮酒的可能性高,类别 3 的特点是患有高血压的可能性高,而吸烟和饮酒的可能性低。
在男性中,吸烟和饮酒的同时存在很普遍,而超重和高血压在女性中更为普遍。印度东北部的政策和方案应侧重于针对个体中同时存在的多个可改变的危险因素。