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Outline
To analyze the prevalence and influencing factors of different obesity metabolic phenotypes in middle-aged and elderly populations in Hubei Province, aiming to provide scientific reference and decision-making basis for early prevention and intervention of obesity-related diseases.
A population involved in the “National Cardiovascular Disease High-risk Population Early Screening and Comprehensive Intervention Project” from January 2016 to December 2019 in Hubei Province was selected to analyze the prevalence and epidemiological characteristics of different obesity metabolic phenotypes and to explore the influencing factors of obesity metabolic phenotypes in middle-aged and elderly populations in Hubei.
A total of 112 270 participants were included in this study. The prevalence rates of metabolically healthy overweight or obese, metabolically unhealthy normal weight, and metabolically unhealthy overweight or obese were 15.78%, 21.16%, and 42.82%, respectively. The results of the unordered multinomial logistic regression showed that, compared to the metabolically healthy normal weight group, living in rural areas (OR=1.08, 95%CI: 1.03-1.13; OR=1.21, 95%CI: 1.16-1.25), being in the older age group (aged 65 and above, OR=3.39,95%CI: 3.15-3.64; OR=3.31, 95%CI: 3.12-3.52), being male (OR=1.22, 95%CI: 1.16-1.29; OR=1.17, 95%CI: 1.12-1.22), and alcohol consumption (OR=1.15, 95%CI: 1.08-1.23; OR=1.14, 95%CI: 1.07-1.20) were associated with an increased risk of being metabolically healthy overweight or obese, metabolically unhealthy normal weight, and metabolically unhealthy overweight or obese.Higher education level (high school or above, OR=0.87, 95%CI: 0.84-0.92), higher household annual income (≥50 000 yuan, OR=0.81, 95%CI: 0.76-0.86), and smoking (OR=0.67, 95%CI: 0.63-0.70) were associated with a decreased risk of being metabolically unhealthy overweight or obese (all P < 0.01).
The prevalence of metabolically unhealthy overweight or obesity is high in Hubei Province, and it is essential to strengthen prevention and control efforts, particularly targeting older males in rural areas, those with low income, low education levels, and individuals with alcohol consumption habits.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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