Gholami Ali, Zamani Farhad, Zandian Elham, Sohrabi Masoudreza, Moradpour Farhad, Maadi Mansooreh, Khazaee-Pool Maryam, Abbasi-Ghahramanloo Abbas
Department of Public Health, School of Public Health, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Gastrointestinal & Liver Disease Research Center (GILDRC), Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran.
Med J Islam Repub Iran. 2018 Nov 7;32:109. doi: 10.14196/mjiri.32.109. eCollection 2018.
Due to the rise of non-communicable diseases (NCDs) and lifestyle changes, this study aimed at determining the subclasses of Iranian adults based on body mass index, some NCDs, and status of physical component of quality of life. A total of 5207 participants of Amol cohort study were studied in this study. Latent class analysis (LCA) was used to determine the best model with the minimum AIC or BIC. We decided that the 6 latent classes model was the best model. The first class described 35.1% of the participants and was characterized by individuals with no disease status. The sixth class described 0.7% of the individuals and was characterized by individuals exhibiting high probability of body mass index (BMI) equal or more than 25, kidney inadequacy, hypertension, and moderate physical component of quality of life status. This study showed the pattern of body mass index, chronic diseases, and physical component of quality of life. Our findings demonstrated that some risk factors and non-communicable diseases tend to accumulate in some classes, especially classes 5 and 6, and thus the risk of developing these diseases rises along with increase in their clustering abilities. These results point out the critical importance of designing specific preventive interventional programs for these stratums of individuals.
由于非传染性疾病（NCDs）的增加和生活方式的改变，本研究旨在根据体重指数、一些非传染性疾病以及生活质量身体成分状况来确定伊朗成年人的亚类。本研究对阿莫尔队列研究中的5207名参与者进行了研究。使用潜在类别分析（LCA）来确定具有最小AIC或BIC的最佳模型。我们认为6个潜在类别模型是最佳模型。第一类描述了35.1%的参与者，其特征是没有疾病状态的个体。第六类描述了0.7%的个体，其特征是体重指数（BMI）等于或超过25、肾脏功能不全、高血压以及生活质量身体成分状况中等的个体。本研究展示了体重指数、慢性病和生活质量身体成分的模式。我们的研究结果表明，一些风险因素和非传染性疾病倾向于在某些类别中聚集，尤其是第5类和第6类，因此这些疾病的发病风险随着其聚集能力的增加而上升。这些结果指出了为这些个体分层设计特定预防干预项目的至关重要性。
