The clusters of health-risk behaviours and mental wellbeing and their sociodemographic correlates: a study of 15,366 ASEAN university students.
The clusters of health-risk behaviours and mental wellbeing and their sociodemographic correlates: a study of 15,366 ASEAN university students.
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DOI：
10.1186/s12889-022-14233-2
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发表时间：
2022-10-01
影响因子：
4.5
通讯作者：
中科院分区：
文献类型：
--
作者：
本研究通过聚类分析调查了东南亚国家联盟（东盟）大学网络-健康促进网络（AUN-HPN）成员大学的行为特征，心理健康，人口统计学特征和大学生健康之间的关系。数据是从一个跨部门的自我管理的在线调查中检索的本科生在七个东盟国家。采用两步聚类分析，聚类标签基于聚类内识别的主要特征。将“健康”群集指定为参考组，用于使用多项逻辑回归分析进行比较。分析样本量包括15，366名大学生。学生类型分为五组：（i）“健康”（n = 1957; 12.7%）;（ii）“高含糖饮料消费”（n = 8482; 55.2%）;（iii）“精神健康状况不佳”（n = 2009; 13.1%）;（iv）“吸烟者”（n = 1364; 8.9%）;和（v）“饮酒者”（n = 1554; 10.1%）。女性（OR 1.28，95%CI 1.14，1.45）和缺乏体力活动（OR 1.20，95%CI 1.04，1.39）增加了属于“高含糖饮料消费”集群的几率。女性（OR 1.21，95%CI 1.04，1.41）、非体育俱乐部会员（OR 1.83，95%CI 1.43，2.34）与“心理健康状况差”相关。肥胖（OR 2.03，95%CI 1.47，2.80）、不积极通勤（OR 1.34，95%CI 1.09，1.66）和住在高层公寓（OR 2.94，95%CI 1.07，8.07）与“吸烟者”群体的成员资格相关。生活在菲律宾、新加坡、泰国和越南的学生比生活在文莱的学生更有可能饮酒。东盟大学生表现出的健康风险行为通常集中在一个特定的健康行为和心理健康。研究结果支持将干预措施重点放在一种主要的健康风险行为上，并将群组内的相关健康风险行为作为考虑的潜在媒介。
This study investigated, through cluster analysis, the associations between behavioural characteristics, mental wellbeing, demographic characteristics, and health among university students in the Association of Southeast Asian Nations (ASEAN) University Network – Health Promotion Network (AUN-HPN) member universities. Data were retrieved from a cross-sectional self-administered online survey among undergraduate students in seven ASEAN countries. A two-step cluster analysis was employed, with cluster labels based on the predominant characteristics identified within the clusters. The ‘healthy’ cluster was assigned as the reference group for comparisons using multinomial logistic regression analysis. The analytic sample size comprised 15,366 university students. Five clusters of student-types were identified: (i) ‘Healthy’ (n = 1957; 12.7%); (ii) ‘High sugary beverage consumption’ (n = 8482; 55.2%); (iii) ‘Poor mental wellbeing’ (n = 2009; 13.1%); (iv) ‘Smoker’ (n = 1364; 8.9%); and (v) ‘Alcohol drinker’ (n = 1554; 10.1%). Being female (OR 1.28, 95%CI 1.14, 1.45) and being physically inactive (OR 1.20, 95%CI 1.04, 1.39) increased the odds of belonging to the ‘High sugary beverage consumption’ cluster. Being female (OR 1.21, 95%CI 1.04, 1.41), non-membership in a sports club (OR 1.83, 95%CI 1.43, 2.34) were associated with ‘Poor mental wellbeing’. Obesity (OR 2.03, 95%CI 1.47, 2.80), inactively commuting to campus (OR 1.34, 95%CI 1.09, 1.66), and living in high-rise accommodation (OR 2.94, 95%CI 1.07, 8.07) were associated with membership in the ‘Smoker’ cluster. Students living in The Philippines, Singapore, Thailand, and Vietnam had a higher likelihood of being alcohol drinkers, compared with those who lived in Brunei. ASEAN university students exhibited health-risk behaviours that typically clustered around a specific health behaviour and mental wellbeing. The results provided support for focusing interventions on one dominant health-risk behaviour, with associated health-risk behaviours within clusters being potential mediators for consideration.
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影响因子：
4.5
作者：
Collison KS;Zaidi MZ;Subhani SN;Al-Rubeaan K;Shoukri M;Al-Mohanna FA
通讯作者：
Al-Mohanna FA
影响因子：
18.4
作者：
Corder K;Winpenny E;Love R;Brown HE;White M;Sluijs EV
通讯作者：
Sluijs EV
影响因子：
2
作者：
Barber, BL;Eccles, JS;Stone, MR
通讯作者：
Stone, MR
影响因子：
1
作者：
Inaç Y;Larivière Y;Hoque M;Van Hal G
通讯作者：
Van Hal G
影响因子：
5.2
作者：
Budreviciute A;Damiati S;Sabir DK;Onder K;Schuller-Goetzburg P;Plakys G;Katileviciute A;Khoja S;Kodzius R
通讯作者：
Kodzius R