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孟加拉国大学生和教职工中代谢综合征的流行情况及其相关因素。

Prevalence and factors associated with metabolic syndrome in university students and academic staff in Bangladesh.

机构信息

Department of Biochemistry and Molecular Biology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.

Department of Food Engineering and Tea Technology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.

出版信息

Sci Rep. 2023 Nov 14;13(1):19912. doi: 10.1038/s41598-023-46943-x.

Abstract

Metabolic syndrome (MetS) is a group of medical conditions that increase the risk of cardiovascular disease, stroke, and type 2 diabetes. While there are numerous studies on the prevalence of MetS in the general adult population worldwide, limited information exists regarding its prevalence among university students and academic staff. This study aimed to determine the prevalence of MetS and associated risk factors among Bangladesh university students and academic staff. For this cross-sectional study, 583 participants were randomly selected from university students (n = 281) and academic staff (n = 302) in Bangladesh. The participants' fasting blood samples were collected, and their serum lipid profile levels, fasting blood glucose, and other parameters were measured using standard methods. MetS was defined according to the NCEP-ATP III model guidelines. Additionally, a questionnaire was administered to the participants to gather information on socio-demographics, lifestyle risk behaviours, and personal medical history. Multivariate logistic regression models were used to determine the risk factors associated with MetS. Overall, the prevalence of MetS was 27.7% in students and 47.7% in staff. There was a significant difference (p < 0.01) in MetS prevalence between male students (34.8%) and female students (17.2%). In contrast, it was comparatively higher in female staff (52.3%) than in male staff (45.8%), although the difference was not statistically significant. The prevalence of MetS and its components increased with age in student and staff groups. The most common component of MetS was low levels of HDL-C, which affected 78% and 81.4% of the students and staff, respectively. Logistic regression modelling showed that increased age, BMI, hypertension, dyslipidemia, low physical activity, and smoking were significantly associated with MetS in students (at least p < 0.05 for all cases). On the other hand, increased age and BMI, hypertension, and dyslipidemia were significantly associated with MetS in academic staff (at least p < 0.05 for all cases). In conclusion, this study indicates a high prevalence of MetS in university students and staff in Bangladesh. Age, BMI, hypertension and dyslipidemia were independently associated with the risk of MetS in both groups. The findings emphasize the importance of interventions for students and staff in academic settings in Bangladesh. It is crucial to implement health promotion activities such as healthy diet and exercise programs more rigorously. Further research with more representative samples is needed to get more clear insights into MetS prevalence in this particular population subgroup for targeted interventions.

摘要

代谢综合征(MetS)是一组增加心血管疾病、中风和 2 型糖尿病风险的医学病症。虽然全球有大量研究关注普通成年人群中 MetS 的流行情况,但有关大学生和学术人员中 MetS 流行情况的信息有限。本研究旨在确定孟加拉国大学生和学术人员中 MetS 的流行情况及其相关危险因素。

在这项横断面研究中,从孟加拉国的大学生(n=281)和学术人员(n=302)中随机抽取了 583 名参与者。采集了参与者的空腹血样,并使用标准方法测量了血清脂质谱水平、空腹血糖和其他参数。MetS 根据 NCEP-ATP III 模型指南进行定义。此外,还向参与者发放了一份问卷,以收集社会人口统计学、生活方式风险行为和个人病史信息。使用多变量逻辑回归模型确定与 MetS 相关的危险因素。

总体而言,学生中 MetS 的患病率为 27.7%,员工中为 47.7%。男学生(34.8%)和女学生(17.2%)之间的 MetS 患病率存在显著差异(p<0.01)。相比之下,女员工(52.3%)的患病率相对较高,而男员工(45.8%)则较低,尽管差异无统计学意义。在学生和员工群体中,MetS 及其成分的患病率随着年龄的增长而增加。MetS 最常见的成分是低水平的高密度脂蛋白胆固醇(HDL-C),分别影响了学生和员工的 78%和 81.4%。逻辑回归模型显示,年龄增长、BMI、高血压、血脂异常、体力活动减少和吸烟与学生的 MetS 显著相关(所有情况下至少 p<0.05)。另一方面,年龄增长、BMI、高血压和血脂异常与学术人员的 MetS 显著相关(所有情况下至少 p<0.05)。

总之,本研究表明孟加拉国大学生和学术人员的 MetS 患病率较高。年龄、BMI、高血压和血脂异常与两组人群的 MetS 风险独立相关。研究结果强调了在孟加拉国学术环境中对学生和员工进行干预的重要性。更严格地实施健康促进活动,如健康饮食和运动计划至关重要。需要进一步开展具有代表性样本的研究,以更深入地了解这一特定人群亚组中 MetS 的流行情况,以便进行有针对性的干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d716/10645980/11d0cbe44350/41598_2023_46943_Fig1_HTML.jpg

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