Rahimi Zahra, Raeisi Zadeh Maedeh, Hosseini Seyed Ahmad, Alemohammad Seyedeh Yasaman, Sarvandian Sara, Cheraghian Bahman
Department of Biostatistics and Epidemiology, School of Public Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Nutrition and Metabolic Diseases Research Center, Clinical Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Prev Med Rep. 2025 Mar 19;53:103036. doi: 10.1016/j.pmedr.2025.103036. eCollection 2025 May.
Overweight and obesity are major determinants that contribute to the occurrence of non-communicable diseases. We aim to examine the association between anthropometric indexes and socioeconomic status.
This study was a population-based cross-sectional study conducted on 9846 adults aged 35 to 70 years who participated in the Hoveyzeh Cohort Study from May 2016 to August 2018 in southwestern Iran.
We assessed the relationship between three levels of socioeconomic indicators with eight anthropometric indexes. Multiple logistic regression was used to adjust the potential confounders.
The mean ± sd age of 9846 participants was 48.80 ± 9.20, and 5820 (59.1 %) were female Among the socioeconomic indicators, after control for potential confounders, the wealth index and, in the second place, the townsend deprivation index had the strongest relationships with anthropometric indexes. In contrast, the relationships between education and anthropometric indexes were mostly weak and without certain trends. Among the anthropometric indexes, waist circumference, abdominal volume index, and waist to height ratio had a statistically significant association with socioeconomic indicators. The weakest associations were found for the waist to hip ratio index.
This study showed significant associations between socioeconomic and anthropometric indicators. The role of economic factors is more decisive than social factors.
超重和肥胖是导致非传染性疾病发生的主要决定因素。我们旨在研究人体测量指标与社会经济地位之间的关联。
本研究是一项基于人群的横断面研究,对9846名年龄在35至70岁之间的成年人进行,这些人于2016年5月至2018年8月参与了伊朗西南部的霍韦泽队列研究。
我们评估了三个社会经济指标水平与八个人体测量指标之间的关系。采用多元逻辑回归来调整潜在的混杂因素。
9846名参与者的平均年龄±标准差为48.80±9.20岁,其中5820名(59.1%)为女性。在社会经济指标中,在控制潜在混杂因素后,财富指数以及其次的汤森贫困指数与人体测量指标的关系最为密切。相比之下,教育与人体测量指标之间的关系大多较弱且无特定趋势。在人体测量指标中,腰围、腹围指数和腰高比与社会经济指标存在统计学显著关联。腰臀比指数的关联最弱。
本研究表明社会经济指标与人体测量指标之间存在显著关联。经济因素的作用比社会因素更具决定性。