Department of Food, Nutrition and Dietetics, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC 3086, Australia.
Institute for Physical Activity and Nutrition, Deakin University, Geelong, VIC 3220, Australia.
Nutrients. 2023 Mar 4;15(5):1283. doi: 10.3390/nu15051283.
The Feel4Diabetes study is a type 2 diabetes prevention program that recruited 12,193 children [age: 8.20 (±1.01) years] and their parents from six European countries. The current work used pre-intervention data collected from 9576 children-parents pairs, to develop a novel family obesity variable and to examine its associations with family sociodemographic and lifestyle characteristics. Family obesity, defined as the presence of obesity in at least two family members, had a prevalence of 6.6%. Countries under austerity measures (Greece and Spain) displayed higher prevalence (7.6%), compared to low-income (Bulgaria and Hungary: 7%) and high-income countries (Belgium and Finland: 4.5%). Family obesity odds were significantly lower when mothers (OR: 0.42 [95% CI: 0.32, 0.55]) or fathers (0.72 [95% CI: 0.57, 0.92]) had higher education, mothers were fully (0.67 [95% CI: 0.56, 0.81]) or partially employed (0.60 [95% CI: 0.45, 0.81]), families consumed breakfast more often (0.94 [95% CI: 0.91 0.96]), more portions of vegetables (0.90 [95% CI: 0.86, 0.95]), fruits (0.96 [95% CI: 0.92, 0.99]) and wholegrain cereals (0.72 [95% CI: 0.62, 0.83]), and for more physically active families (0.96 [95% CI: 0.93, 0.98]). Family obesity odds increased when mothers were older (1.50 [95% CI: 1.18, 1.91]), with the consumption of savoury snacks (1.11 [95% CI: 1.05, 1.17]), and increased screen time (1.05 [95% CI: 1.01, 1.09]). Clinicians should familiarise themselves with the risk factors for family obesity and choose interventions that target the whole family. Future research should explore the causal basis of the reported associations to facilitate devising tailored family-based interventions for obesity prevention.
Feel4Diabetes 研究是一项 2 型糖尿病预防计划,招募了来自六个欧洲国家的 12193 名儿童[年龄:8.20(±1.01)岁]及其父母。目前的工作使用了从 9576 对儿童-父母对收集的干预前数据,开发了一种新的家庭肥胖变量,并研究了其与家庭社会人口学和生活方式特征的关系。家庭肥胖的定义是至少有两名家庭成员肥胖,其患病率为 6.6%。实行紧缩措施的国家(希腊和西班牙)的患病率较高(7.6%),而低收入国家(保加利亚和匈牙利:7%)和高收入国家(比利时和芬兰:4.5%)的患病率较低。当母亲(比值比:0.42 [95%置信区间:0.32,0.55])或父亲(0.72 [95%置信区间:0.57,0.92])受教育程度较高,母亲完全(0.67 [95%置信区间:0.56,0.81])或部分就业(0.60 [95%置信区间:0.45,0.81]),家庭更经常吃早餐(0.94 [95%置信区间:0.91 0.96]),蔬菜(0.90 [95%置信区间:0.86,0.95])、水果(0.96 [95%置信区间:0.92,0.99])和全麦谷物(0.72 [95%置信区间:0.62,0.83])的摄入量更多,家庭的体育活动量更大(0.96 [95%置信区间:0.93,0.98])时,家庭肥胖的几率较低。当母亲年龄较大(1.50 [95%置信区间:1.18,1.91])、食用咸味零食(1.11 [95%置信区间:1.05,1.17])和屏幕时间增加(1.05 [95%置信区间:1.01,1.09])时,家庭肥胖的几率会增加。临床医生应该熟悉家庭肥胖的危险因素,并选择针对整个家庭的干预措施。未来的研究应该探索报告关联的因果基础,以促进制定针对肥胖预防的量身定制的基于家庭的干预措施。