Department of Health Sciences, Mid Sweden University, Sundsvall, Sweden.
Scand J Public Health. 2012 Jun;40(4):368-76. doi: 10.1177/1403494812449926.
To analyse how health risk behaviours (HRB) are clustered and associated with parental background and family wealth among Swedish boys and girls.
Data were collected from Health Behaviour in School-aged Children (HBSC), a global cross-sectional survey for 1997/98, 2001/02, and 2005/06. A total of 11,972 boys and girls in grades 5, 7, and 9 participated in the study. The pupils were categorised in subgroups according to parental background: Swedish (80.0%), mixed (10.6%), and foreign (9.4%). Cluster analyses were used to identify HRB profiles. Multinomial logistic regression analysis was used to estimate associations between cluster allocation, parental background, and family affluence.
In total 11,232 pupils were identified and allocated to five cluster profiles, half of them in the cluster profile of low-risk behaviour. The most disadvantaged cluster was multiple HRB, which was characterised by high prevalence of smoking, drunkenness, low physical activity, and high soft-drink consumption. The cluster profile of multiple HRB was associated with both mixed background and foreign background in girls and with mixed background in boys. The cluster profile of inadequate tooth brushing was associated with foreign background in both boys and girls. The cluster profiles of multiple HRB and inadequate tooth brushing were associated with low family affluence in girls.
The cluster profiles of multiple HRB and inadequate tooth brushing were associated with parental foreign extraction in boys and girls and with low family affluence in girls. Prevention programmes based on identified clusters of HRB, including consideration of impact of socio-demographic indicators, are needed.
分析瑞典男孩和女孩的健康风险行为(HRB)如何聚类,并与父母背景和家庭财富相关联。
数据来自于青少年健康行为纵向研究(HBSC),这是一项全球性的横断面调查,于 1997/98 年、2001/02 年和 2005/06 年进行。共有 11972 名 5、7 和 9 年级的学生参与了这项研究。根据父母背景,学生被分为以下几个亚组:瑞典(80.0%)、混合(10.6%)和外国(9.4%)。聚类分析用于识别 HRB 特征。使用多项逻辑回归分析来估计聚类分配、父母背景和家庭富裕程度之间的关联。
共确定了 11232 名学生,并将其分配到五个聚类特征中,其中一半处于低风险行为聚类特征中。最不利的聚类特征是多种 HRB,其特点是吸烟、酗酒、低身体活动和高软饮料消费的高患病率。在女孩中,多种 HRB 聚类特征与混合背景和外国背景有关,而在男孩中与混合背景有关。刷牙不足的聚类特征与男孩和女孩的外国背景有关。多种 HRB 和刷牙不足的聚类特征与女孩的低家庭富裕程度有关。
多种 HRB 和刷牙不足的聚类特征与男孩和女孩的父母外国血统以及女孩的低家庭富裕程度有关。需要基于识别出的 HRB 聚类特征制定预防计划,包括考虑社会人口学指标的影响。