Schoeppe Stephanie, Vandelanotte Corneel, Rebar Amanda L, Hayman Melanie, Duncan Mitch J, Alley Stephanie J
Physical Activity Research Group, School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, Queensland, Australia.
Priority Research Centre for Physical Activity and Nutrition, School of Medicine & Public Health, The University of Newcastle, Callaghan, New South Wales, Australia.
PLoS One. 2018 Feb 28;13(2):e0192584. doi: 10.1371/journal.pone.0192584. eCollection 2018.
To compare the frequency of and trends in healthy lifestyle factors between singles and couples.
Cross-sectional data from annual surveys conducted from 2005-2014 were used. The pooled sample included 15,001 Australian adults (mean age: 52.9 years, 50% male, 74% couples) who participated in the annual Queensland Social Survey via computer-assisted telephone interviews. Relationship status was dichotomised into single and couple. Binary logistic regression was used to assess associations between relationship status, and the frequency of and trends in healthy lifestyle factors.
Compared to singles, couples were significantly more likely to be a non-smoker (OR = 1.82), and meet recommendations for limited fast food (OR = 1.12), alcohol consumption (OR = 1.27) and fruit and vegetable intake (OR = 1.24). Fruit and vegetable intake was not significantly associated with relationship status after adjusting for the other healthy lifestyle factors. Conversely, couples were significantly less likely to be within a normal weight range (OR = 0.81). In both singles and couples, the trend data revealed significant declines in the rates of normal weight (singles: OR = 0.97, couples: OR = 0.97) and viewing TV for less than 14 hours per week (singles: OR = 0.85, couples: OR = 0.84), whilst non-smoking rates significantly increased (singles: OR = 1.12, couples: OR = 1.03). The BMI trend was no longer significant when adjusting for health behaviours. Further, in couples, rates of meeting recommendations for physical activity and fruit/vegetable consumption significantly decreased (OR = 0.97 and OR = 0.95, respectively), as did rates of eating no fast food (OR = 0.96). These trends were not significant when adjusting for the other healthy lifestyle factors. In singles, rates of meeting alcohol recommendations significantly increased (OR = 1.08).
Health behaviour interventions are needed in both singles and couples, but relationship status needs to be considered in interventions targeting alcohol, fast food, smoking and BMI. Further research is needed to understand why health behaviours differ by relationship status in order to further improve interventions.
比较单身人士和情侣之间健康生活方式因素的频率及趋势。
使用2005年至2014年年度调查的横断面数据。汇总样本包括15001名澳大利亚成年人(平均年龄:52.9岁,50%为男性,74%为情侣),他们通过计算机辅助电话访谈参与了昆士兰年度社会调查。恋爱状况被分为单身和情侣两类。采用二元逻辑回归分析恋爱状况与健康生活方式因素的频率及趋势之间的关联。
与单身人士相比,情侣更有可能不吸烟(比值比[OR]=1.82),并符合限制快餐摄入(OR=1.12)、饮酒(OR=1.27)以及水果和蔬菜摄入(OR=1.24)的建议。在对其他健康生活方式因素进行调整后,水果和蔬菜摄入量与恋爱状况无显著关联。相反,情侣处于正常体重范围的可能性显著较低(OR=0.81)。在单身人士和情侣中,趋势数据显示正常体重率(单身人士:OR=0.97,情侣:OR=0.97)和每周看电视少于14小时的比例(单身人士:OR=0.85,情侣:OR=0.84)均显著下降,而不吸烟率显著上升(单身人士:OR=1.12,情侣:OR=1.03)。在对健康行为进行调整后,体重指数趋势不再显著。此外,在情侣中,达到体育活动和水果/蔬菜消费建议的比例显著下降(分别为OR=0.97和OR=0.95),不吃快餐的比例也下降(OR=0.96)。在对其他健康生活方式因素进行调整后,这些趋势并不显著。在单身人士中,达到饮酒建议的比例显著上升(OR=1.08)。
单身人士和情侣都需要进行健康行为干预,但在针对饮酒、快餐、吸烟和体重指数的干预中需要考虑恋爱状况。需要进一步研究以了解为何健康行为因恋爱状况而异,从而进一步改进干预措施。