Do singles or couples live healthier lifestyles? Trends in Queensland between 2005-2014

Schöeppe, Stephanie; Vandelanotte, Corneel; Rebar, Amanda L.; Hayman, Melanie; Duncan, Mitch J.; Alley, Stephanie

doi:10.1371/journal.pone.0192584

Cited by 35 publications

(25 citation statements)

References 37 publications

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“…In this study, divorced/separated/bereaved adults were more likely to be currently smoking and currently smoking/drinking monthly compared with married adults; this finding supports previous findings [41,42,43]. Harmful lifestyle habits, such as smoking or heavy alcohol drinking, may be more noticeable by spouses and may be changed through the support and encouragement of spouses, especially wives [41,42,44]. A spouse is the most influential person to a smoker or drinker as he/she is the person with whom the latter is in a romantic relationship; therefore, a couple-based intervention that helps adults quit smoking and prevent heavy alcohol drinking, may be more helpful in changing negative health behaviors, especially among men [43].…”

Section: Discussionsupporting

confidence: 92%

“…Previous studies have reported that living alone is more likely associated with multiple lifestyle risk factors, such as smoking and heavy alcohol drinking [27,40,41,42,43], even when gender difference is considered [44]. In this study, divorced/separated/bereaved adults were more likely to be currently smoking and currently smoking/drinking monthly compared with married adults; this finding supports previous findings [41,42,43]. Harmful lifestyle habits, such as smoking or heavy alcohol drinking, may be more noticeable by spouses and may be changed through the support and encouragement of spouses, especially wives [41,42,44].…”

Section: Discussionmentioning

confidence: 99%

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Factors Associated with Single-Use and Co-Use of Tobacco and Alcohol: A Multinomial Modeling Approach

Noh

Kim

Cheon

et al. 2019

IJERPH

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Tobacco smoking and alcohol consumption are among the most important public health concerns not only in South Korea but also globally. This study identified the factors associated with single-use and co-use of tobacco and alcohol in Korean adults and provided more accurate estimates using a multinomial modeling approach. This study used the Korea Community Health Survey Data 2017, of which 205,336 respondents were selected as the sample for a multinomial logistic regression analysis. For the group that identified as only drinking monthly compared to the reference group, we found that the direction of the following factors was opposite to that of the results of the only currently smoking group: Age, marital status, educational level, monthly household income, occupation, obesity, self-rated health, hypertension, and hyperlipidemia. For the currently smoking and drinking monthly group relative to the reference group, the overall direction was a mix of the results of only currently smoking and only drinking monthly. These findings support the development of policies that consider the risk of smoking tobacco and consuming alcohol simultaneously.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Factors Associated with Single-Use and Co-Use of Tobacco and Alcohol: A Multinomial Modeling Approach

Noh

Kim

Cheon

et al. 2019

IJERPH

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“…Similarly, in the non-Indigenous group, those living in families with children under 18 were at greatest risk of being overweight or obese. A recent Australian study showed that compared with singles, couples were significantly less likely to be within a normal weight range [45], while another associated lower levels of physical activity in the time of transition to parenthood as a main contributor to increased obesity of parents [46].…”

Section: Discussionmentioning

confidence: 99%

Is sleep duration associated with overweight/obesity in Indigenous Australian adults?

2020

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Background: Associations between high BMI and sleep duration and chronic illness are recognised. Short sleep is an accepted predictor of high BMI for children, including Indigenous Australian children. Short sleep has also been associated with high BMI in Australian adults, although not specifically in Indigenous Australian adults. This study aims to determine whether the relationship between sleep duration and BMI observed in non-Indigenous adults holds for Indigenous adults. Methods: Data collected from 5204 non-Indigenous and 646 Indigenous participants aged over 18 years in a nationally representative Australian Health Survey 2011-2013 were analysed. Sleep duration was self-reported as the time between going to bed and time waking up; BMI was derived from measurement and categorised into normal weight (BMI = 18.5-24.9) and overweight/obese (BMI ≥ 25). Logistic regression was performed for the non-Indigenous and Indigenous groups separately to examine the association between sleep duration and BMI in each group. Results: Proportionally more Indigenous people were classified as overweight/obese than non-Indigenous (χ 2 = 21.81, p < 0.001). Short sleep was reported by similar proportions in both groups (Indigenous 15% vs non-Indigenous 17%) whereas long sleep of > 9 h was reported by proportionally more Indigenous than non-Indigenous people (41% vs 26%). Without accounting for possible confounders, the association between sleep duration and BMI for the Indigenous group was not significant but a possible dose-response relationship was evident, with the odds of overweight/obesity being greatest for those who typically slept < 7 h (OR = 1.77, 95% CI 0.38-3.94) and < 6 h (OR = 1.55, 95%CI = 0.58-4.14). The same model for the non-Indigenous group was significant, with the odds of overweight/obesity being greatest for those who typically slept < 6 h (OR = 1.67, 95%CI 1.25-2.25). The risk of overweight/obesity diminished for both groups with sleep > 7 h. Accounting for a range of socioeconomic and personal confounders attenuated the strength of these relationships marginally. Conclusion: Adding to reports relating sleep duration and BMI for Australian adults, this study provides evidence for an inverse relationship in non-Indigenous adults and suggests a similar trend for Indigenous adults. This trend was non-significant but is consistent with previous results for Indigenous children.

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“…A cross-sectional study from the Netherlands confi rmed that older people as well as married people had a higher likelihood of quitting smoking, both for men and women (van Loon et al 2005). Schoeppe et al (2018) investigated with cross-sectional data the frequency of healthy lifestyle factors in 15,001 Australian singles (never married, widowed, divorced), and couples (married and unmarried). The authors identifi ed trends in these healthy lifestyle factors between 2005 and 2014.…”

Section: Partnership and Smokingmentioning

confidence: 99%

Marital Status, Partnership and Health Behaviour: Findings from the German Ageing Survey (DEAS)

Hilz

Wagner

2018

CPoS

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Numerous empirical studies have confirmed that married people have a lower risk of morbidity and mortality than unmarried people. However, there is relatively little existing research on the impact of marital status and partnerships on the health behaviour of elderly people in Europe. This study examines the association between partnership status and health-related behaviour among the German population in the second half of life (aged 40-85). We focus on four indicators of health behaviour: smoking, physical activity, body weight, and health check-ups. The data used in the analysis come from the 2008 (n=6,205) and 2014 (n=6,002) waves of the German Ageing Survey (DEAS). We applied logistic regression models with average marginal effects (AME).The results of our analysis are in line with the findings of previous studies, which indicated that being married has a protective effect on smoking and a negative effect on body weight. Crisis effects are found to be limited primarily to smoking by recently widowed people. Our study provides new empirical insights into the extent to which being married has protective effects on the use of health care, as people who are separated, divorced, or never married are found to be less likely to have regular health check-ups compared to married people. Furthermore, our results for physical activity are contrary to previous findings for younger adults, according to which being married is associated with a lower likelihood of participating in physical activities. The results of the data analyses show that at ages 40 and older, unmarried individuals, especially those who are not in a partnership, are at higher risk of physical inactivity than their married counterparts. Our findings on marital status and partnership status therefore demonstrate that being married is strongly associated with positive health behaviours. The results may be useful for designing health programmes or prevention measures.

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Do singles or couples live healthier lifestyles? Trends in Queensland between 2005-2014

Cited by 35 publications

References 37 publications

Factors Associated with Single-Use and Co-Use of Tobacco and Alcohol: A Multinomial Modeling Approach

Factors Associated with Single-Use and Co-Use of Tobacco and Alcohol: A Multinomial Modeling Approach

Is sleep duration associated with overweight/obesity in Indigenous Australian adults?

Marital Status, Partnership and Health Behaviour: Findings from the German Ageing Survey (DEAS)

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