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Erschienen in: BMC Public Health 1/2018

Open Access 01.12.2018 | Research article

Investigating the associations between productive housework activities, sleep hours and self-reported health among elderly men and women in western industrialised countries

verfasst von: Nicholas Kofi Adjei, Tilman Brand

Erschienen in: BMC Public Health | Ausgabe 1/2018

Abstract

Background

After retirement, elderly men and women allocate more time to housework activities, compared to working-age adults. Nonetheless, sleep constitutes the lengthiest time use activity among the elderly, but there has not been any study on the associations between time spent on housework activities, sleep duration and self-reported health among the older population. This study not only examined individual associations between self-reported health and both housework activities and sleep duration, but it also explored self-reported health by the interaction effect between housework activities and sleep duration separately for men and women.

Methods

Pooled data from the Multinational Time Use Study (MTUS) on 15,333 men and 20,907 women from Germany, Italy, Spain, UK, France, the Netherlands and the US were analysed. Multiple binary logistic regression models were used to examine the associations between three broad categories of housework activities ((1) cooking, cleaning and shopping, (2) gardening and maintenance; (3) childcare) and health. We further investigated the extent to which total housework hours and sleep duration were associated with self-reported health for men and women separately.

Results

We found a positive association between time devoted to housework activities, total housework and health status among elderly men and women. Compared to those who spent 1 to 3 h on total productive housework, elderly people who spent >3 to 6 h/day had higher odds of reporting good health (OR = 1.25; 95% CI = 1.14–1.37 among men and OR = 1.10; 95% CI = 1.01–1.20 among women). Both short (<7 h) and long (>8 h) sleep duration were negatively associated with health for both genders. However, the interactive associations between total productive housework, sleep duration, and self-reported health varied among men and women. Among women, long hours of housework combined with either short or long sleep was negatively associated with health.

Conclusions

Although time allocation to housework activities may be beneficial to the health among both genders, elderly women have higher odds of reporting poor health when more time is devoted total housework combined with either short or long sleep duration.

Background

Due to the increase in life expectancy among older adults, time spent in retirement has increased remarkably [1]. In fact, the retirement of an individual affects the distribution of allocated time to the various task of life. A plethora of literature has examined how elderly men and women spend their time after retirement. Most of the related literature that examined post-retirement time use showed that elderly men and women are more involved in social roles and activities such as voluntary work [24], leisure activities [5, 6], grandparenting [7, 8] and household activities [6, 9], than their younger counterparts [911].
Household activities are part of the daily lives of older people. These activities have become their main “productive work” after retirement [12]. Using longitudinal data, Szinovacz [13] found that retirees devoted more time to housework activities than their working spouses. However, evidence suggests that gender inequality in the division of household labor largely persists in high-income societies even after retirement [13, 14]. Most studies confirm that elderly women spend more time on housework activities than men [1416], although time allocated to housework activities among men has increased over recent years [15]. Again, women typically perform routine, repetitive tasks such washing clothes, cooking and cleaning house [17, 18], while men are responsible for occasional tasks such as household repair works, vehicle maintenance and yard work [17, 18]. It has been suggested that this inequitable division of housework is one of the factors that contribute to the observed adverse health differences among men and women including psychological distress [19] and depressive symptoms [20]. These adverse health outcomes are stronger for women than men in their prime working age [21]. Thus, gendered work-life imbalance could be a contributing factor for health inequalities, where women are more likely than men to report poorer health [19]. Although the gendered distribution of housework seems to be correlated with low psychological well-being and poor health among women, there is some evidence that suggests housework may have a positive impact on physical health among elderly men and women [14, 22].
Nonetheless, an important aspect of daily time use activities among older men and women is sleep. Sleep is one of the most important determinants of health [23]. Thus, the duration and quality of sleep have significant health consequences for children, adults and the elderly. Among the elderly, sleep constitutes the lengthiest daily activity [24]. This is expected because the increasing prevalence of health conditions at older age restricts time allocation for other daily activities [6]. Time devoted to sleep is therefore crucial because it has been shown to be correlated with health among older adults. Among adults, short sleep has been found to be associated with some adverse health outcomes including cardiovascular disease and obesity [25]. Conversely, long sleep duration has been linked with increased risk of mortality and morbidity [23].
Time resources are limited within 24 h or 1440 min in a day. Therefore, within this period, time devoted to a particular activity influences time allocation to other daily activities. For example, more time allocation to housework may decrease the amount of time devoted to sleep or other time use activities such as leisure.
To our knowledge, only one study has examined the effect of various housework activities on health among older adults [26]. Moreover, the gender-specific interactive effects of time spent on housework and sleep duration on self-reported health have yet to be investigated among the elderly. Accordingly, this study seeks to explore the relationship between housework activities, total housework and sleep on self-reported health among the elderly in high-income countries. The following two questions will be addressed:
1)
How does time spent on housework activities impact the health among the elderly? To what extent do these effects vary by gender?
 
2)
To what extent is the association between housework activities and health moderated by sleep hours among men and women?
 

Methods

Data

Data came from the Multinational Time Use Study (MTUS, version W53), a cross-national harmonized and comparative time-use database. The Centre for Time Use Research at the University of Oxford organized and collated this data, which was a collection of national randomly-sampled time-use surveys conducted by institutions in 25 countries [27]. This data set contains information on time allocation to various daily tasks, as well as socio-economic and demographic background information of the respective diarist. Diaries were self-administered, followed by a personal visit in most countries. In the interviews, individual participants reported the total time spent per day on 41 activities in 5, 10 or 15-min intervals [27], during a randomly assigned day in a week in Spain, Italy, Germany France and the US or two days (weekday and weekend) in the UK. In the Netherlands, individuals report their activities throughout the 24 h of the day for seven consecutive days. We excluded individuals whose diaries did not sum up to 1440 min (24 h) of activities during the day. Only primary or “main” activities were included in this analysis. Information on secondary activities (activities done while multitasking) were not captured. After considering the minimum retirement age in most EU countries., we limited our sample to individuals who were 65 years and above. For the selection of countries, we selected countries that incorporate health and wellbeing measures into their diary collections. The countries used for the final analysis after these exclusions were the United Kingdom (survey year: 2000; response rate: 45%), the United States (survey year: 2003, response rate: 57%), Spain (survey year: 2002; response rate: 64%), Italy (survey year: 2002; response rate: 92%), Germany (survey year: 2001; response rate: 96%), France (survey year: 1998, response rate: 88%) and the Netherlands (survey year: 2000; response rate: 25%).

Independent variables

Time spent on housework activities and sleep were the two independent variables used for this study. Sleep time and time allocated to housework activities were directly estimated from the data. Because it is not easy to identify productive household activities in time use research, we used the “third party” criterion to identify and select these activities. This approach is widely used in the literature in defining productive household activities [28]. By this criterion, “if an activity is of such a character that might be delegated to a paid worker, then that activity shall be deemed productive” [29]. In other words, this comprises housework that people can pay others to perform for them. Hence, activities such as cooking, gardening, washing, maintenance, laundry, grocery shopping and childcare were considered as productive housework activities. In this current study, we focused on three broad categories of housework activities, in line with Wen et al. [26]:
  • cooking, cleaning and shopping
  • gardening and maintenance
  • childcare
Each category of time use activity was measured in minutes per day. Total housework hours were measured in hours per day. Sleep hours or duration was defined as the total amount of time devoted to sleep. This encompasses all forms of sleep (including daytime sleep and naps). Sleep hours were classified into three categories, i.e., <7 h (short sleep duration), 7–8 h (optimal sleep duration), and >8 h (long sleep duration), based on existing cut-offs in epidemiologic studies [30].

Dependent variable

The dependent variable was self-reported health. In the time-use survey, the question posed to the diarist was “How is your health in general; would you say that it is …?” response options: zero (poor) to three (very good). We categorized the responses into poor (poor or fair) and good (good or very good) [14]. Self-reported health has been shown to be a reliable and accurate measure of current health status [31, 32].

Covariates

Covariates included in the analyses were age, education (less than secondary education, completed secondary education and above secondary education), housing tenure (owner-occupier, renting), employment status (not working for pay, currently in paid employment), household size (1, 2, 3+) and car ownership (no car, one car and two or more cars).

Statistical analysis

The first part of the analysis was primarily descriptive, where information on distributional characteristics of all variables including the mean time allocated to the various productive housework activities was provided. In the second part of the analysis, we applied binary logistic regression to model the association between self-reported health and each of the three broad housework categories, total housework and sleep hours. The multivariate regression models included other time use activities (paid work, active leisure, passive leisure and personal activities, see Additional file 1: Table S2). In the third part, we examined the combined association of total productive housework hours and sleep duration (short sleep duration, optimal sleep duration and long sleep duration) on self-reported health. Here, we investigated twelve combinations as follows: four groups of total productive housework hours (housework <1 h/day, housework 1 to 3 h/day, housework >3 to 6 h/day, housework >6 h/day) × three groups of sleep hours (sleep <7 h/day, sleep >7 to 8 h/day, sleep >8 h/day). The >7 to 8 h/day sleep duration and 1 to 3 h/day time spent on productive housework categories were chosen as the reference. The analyses were done separately for men and women. All statistical analyses were performed in STATA version 14 [33].

Results

Descriptive statistics

The descriptive statistics for respondents stratified by gender are shown in Table 1.
Table 1
General description of the study sample (in percentages, means and SD), men and women
 
Men (15,333)
Women (20,907)
 
Mean / %
SD
Mean / %
SD
Sociodemographic and economic factors
    
Age
72.39
5.06
73.19
5.21
65–69
35.7%
 
31.0%
 
70–74
28.3%
 
26.3%
 
75–79
20.0%
 
20.7%
 
80+
16.1%
 
22.0%
 
Education
    
Incomplete Sec. or less
49.6%
 
58.3%
 
Secondary completed
30.1%
 
28.3%
 
Tertiary Completed or above
20.3%
 
13.3%
 
Land tenure
    
Renting
22.5%
 
26.8%
 
Owner occupier
77.5%
 
73.2%
 
Employment Status
    
Not working for pay
91.0%
 
95.3%
 
Currently in paid employment
9.0%
 
4.7%
 
Household size
2.20
1.02
1.89
1.08
1 member
18.2%
 
41.6%
 
2 members
59.1%
 
41.3%
 
3+ members
22.8%
 
17.1%
 
Time use Activity
    
Cleaning, cooking & shopping mins/day
84.74
97.02
217.88
139.45
0 min
27.4%
 
7.2%
 
>0 to 60
27.4%
 
9.7%
 
>60 to 120
18.2%
 
11.4%
 
>120
26.9%
 
71.8%
 
Gardening and maintenance mins/day
68.56
109.37
38.54
77.43
0 min
50.4%
 
59.2%
 
>0 to 60
17.4%
 
21.4%
 
>60 to 120
11.0%
 
9.3%
 
>120
21.2%
 
10.2%
 
Childcare mins/day
1.41
15.02
2.07
19.59
0 min
98.3%
 
97.7%
 
>0 to 60
1.0%
 
1.2%
 
>60 to 120
0.3%
 
0.5%
 
>120
0.4%
 
0.5%
 
Total Housework hours/day
3.09
2.65
4.72
2.71
Less than 1
26.4%
 
10.0%
 
1 to 3
27.1%
 
16.4%
 
>3 to 6
31.9%
 
42.8%
 
>6
14.7%
 
30.8%
 
Sleep hours/day
9.43
2.07
9.34
2.10
less than 7
6.7%
 
6.9%
 
>7 to 8
17.4%
 
18.2%
 
>8
75.9%
 
75.0%
 
Women in the study were slightly older than men. The mean age of women was 73.2 years and for men 72.4 years. Men had higher educational attainment than women. About 20.3% of elderly men and 13.3% of women reported having a tertiary education. Elderly men were more likely to own a house than women (77.5% vs 73.2%). Regarding employment status, about 9.0% of older men were in paid employment, compared to 4.7% of women. The average number of people in the household was similar for both men and women (approximately 2 members).
Gender differences were also found in time allocation to productive housework activities. Older men and women both allocated more time to cleaning and cooking than to occasional task such as gardening and maintenance. However, men spent remarkably fewer hours on cleaning, cooking and shopping than women (88.7 min/day vs 217.9 min/day). On the other hand, women devoted fewer hours on gardening and maintenance than men (38.5 min/day vs 68.6 min/day). Regarding the time allocation to total housework, women devoted most hours to these activities (4.7 h per day) compared to men (3.1 h per day). A cross-country comparison in Additional file 2: Table S1 revealed that the most time spent on total housework among elderly women was found in Italy (5.2 h per day) and Germany (5.1 h per day), while the lowest value was observed in the US (4.0 h per day). In contrast, elderly men in Italy devoted the least time to total housework activities (2.7 h per day), while the most time spent on these activities was found in Germany (4.2 h per day).
Time allocated to sleep hours was similar in both genders. Elderly men and women slept for approximately 9 h per day (including daytime sleep and naps). Again, we observed that there were no differences in time devoted to sleep hours among men and women within-countries, but there were cross-national variations (Additional file 2: Table S1). For instance, elderly men and women in Spain and France devoted the most time to sleep hours (approximately 10 h per day), while the average time spent on these activities in the other countries was 1 h less.

Logistic regression

The results of the adjusted OR and 95% CI for the association between the three broad productive housework activities, total housework, sleep hours and the outcome self-reported health are shown in Tables 2 and 3.
Table 2
Multivariate associations between good self-reported health status and housework, pooled data of 7 countries. Men, women 65+ years old
Variables
Men
Women
 
aOR (95% CI)
aOR (95% CI)
Time use Activities
  
Cleaning, cooking & shopping mins/day
  
0 min (ref)
1.00 (reference)
1.00 (reference)
>0 to 60
1.23 (1.12–1.35)**
1.61 (1.38–1.89)**
>60 to 120
1.13 (1.02–1.26)*
1.46 (1.25–1.70)**
>120
1.58 (1.43–1.74)**
1.48 (1.30–1.68)**
Gardening and maintenance mins/day
  
0 min (ref)
1.00 (reference)
1.00 (reference)
>0 to 60
1.27 (1.16–1.40)**
1.31(1.22–1.41)**
>60 to 120
1.40(1.25–1.56)**
1.43(1.29–1.59)**
>120
1.80(1.64–1.98)**
1.56(1.41–1.73)**
Childcare mins/day
  
0 min (ref)
1.00 (reference)
1.00 (reference)
>0 to 60
1.18 (0.85–1.65)
1.11 (0.85–1.46)
>60 to 120
1.60 (0.85–3.00)
1.25 (0.83–1.87)
>120
1.81 (1.03–3.20)*
2.46 (1.63–3.72)**
Pseudo R2
0.0815
0.1049
Log Likelihood
−9728.2581
−12,635.574
Notes: aOR- adjusted Odd Ratio, ** p < 0.01, * p < 0.05. CI: confidence interval. Adjusted by age, education, householdsize, land tenure, employment status and other time use activities (active leisure, paid work, passive leisure & personal activities)
Table 3
Multivariate associations between good self-reported health status, total housework and sleep hours, pooled data of 7 countries. Men, women 65+ years old
Variables
Men
Women
 
aOR (95% CI)
aOR (95% CI)
Total housework hours/day
  
less than 1
0.74 (0.67–0.81)**
0.69 (0.60–0.78)**
1 to 3
1.00 (reference)
1.00 (reference)
>3 to 6
1.25 (1.14–1.37)**
1.10(1.01–1.20)**
>6
1.86 (1.65–2.11)**
1.38(1.24–1.53)**
Sleep hours/day
  
less than 7
0.83 (0.71–0.97)*
0.84 (0.73–0.95)*
>7 to 8
1.00 (reference)
1.00 (reference)
>8
0.78 (0.71–0.85)**
0.75 (0.69–0.81)**
Pseudo R2
0.0834
0.1053
Log Likelihood
−9707.8736
−12,629.694
Notes: aOR- adjusted Odd Ratio, ** p < 0.01, * p < 0.05. CI: confidence interval. Adjusted by age, education, household size, land tenure, employment status and other time use activities (active leisure, paid work, passive leisure & personal activitie
Among men and women, we found a positive association between housework activities and self-reported health. However, there were differences in the magnitude of the associations. Time devoted to both routine and repetitive housework activities was significantly associated with good health. We observed that elderly people who spent more than 120 min/day on cleaning, cooking and shopping activities had higher odds of reporting good health (OR = 1.58; 95% CI = 1.43–1.74 among men and OR = 1.48; 95% CI = 1.30–1.68 among women) compared to those who devoted no time to these activities. Gardening and maintenance activities were associated with higher odds for good health. Older people who spent more than 120 min/day on these activities were more likely to report good health (OR = 1.80; 95% CI = 1.64–1.98 among men and OR = 1.56; 95% CI = 1.41–1.73 among women) compared to those who did not allocate any time to these activities. The odds of reporting good health were significantly higher (OR = 1.81; 95% CI = 1.03–3.20 among men and OR = 2.46; 95% CI = 1.63–3.72 among women) for elderly people who spent more than 120 min/day on childcare activities compared to those who devoted no time to childcare.
Furthermore, Table 3 shows that total productive housework activities and sleep duration were also related to health in both genders. In the model, we found a statistically significant association between good health and time devoted to housework. Elderly people who spent more than 6 h on housework activities had higher odds of reporting good health (OR = 1.86; 95% CI = 1.65–2.11 among men and OR = 1.38; 95% CI = 1.24–1.53 among women) compared to those who spent 1 to 3 h on these activities. The odds of reporting good health status were lower among older people who devoted less than 7 h (OR = 0.83; 95% CI = 0.71–0.97 among men and OR = 0.84; 95% CI = 0.73–0.95 among women) and more than 8 h (OR = 0.78; 95% CI = 0.71–0.85 among men and OR = 0.75; 95% CI = 0.69–0.81 among women) compared to those who reported a sleep duration between 7 to 8 h.

Interactions

Table 4 and Fig. 1a and b shows the combined associations of total housework hours and sleep duration on self-reported health by gender.
Table 4
Combined associations between good self-reported health status, total housework hours and sleep hours, pooled data of 7 countries. Men, women 65+ years old
Combinations
Sleep <7 h/day
Sleep >7 to 8 h/day
Sleep >8 h/day
 
aOR (95% CI)
aOR (95% CI)
aOR (95% CI)
Men
   
Housework <1 h/day
0.72 (0.52–1.00)*
1.04 (0.81–1.34)
0.61 (0.51–0.73)**
Housework 1 to 3 h/day
0.92 (0.67–1.26)
1.00 (reference)
0.86 (0.72–1.03)
Housework >3 to 6 h/day
1.07 (0.81–1.42)
1.43 (1.16–1.77)**
1.06 (0.88–1.27)
Housework >6 h/day
1.76 (1.27–2.43)**
1.68 (1.32–2.15)**
1.70 (1.38–2.10)*
Women
   
Housework <1 h/day
0.70 (0.44–1.11)
0.71 (0.49–1.04)*
0.34 (0.27–0.43)**
Housework 1 to 3 h/day
0.70 (0.49–1.01)*
1.00 (reference)
0.50 (0.40–0.62)**
Housework >3 to 6 h/day
0.61 (0.47–0.81)**
0.75 (0.60–0.94)*
0.60 (0.49–0.74)**
Housework >6 h/day
0.77 (0.59–1.01)*
0.91 (0.72–1.14)
0.78 (0.62–0.97)*
Notes: aOR- adjusted Odd Ratio, ** p < 0.01, * p < 0.05. CI: confidence intervals. Adjusted by age, education, household size, land tenure, employment status and other time use activities (active leisure, paid work, passive leisure & personal activities)
Among both genders, any combination of sleep duration not equal to 7–8 h and less than one hour spent on total housework was significantly associated with poorer health. On the other hand, the odds of reporting good health were significantly higher among older men who devoted more than 6 h/day of housework with any sleep hours category as compared to the reference group. Conversely, the odds of reporting good health were significantly lower among elderly women with any combination of sleep hours category with more hours of housework as compared to the reference group defined as above.

Discussion

This study explored the individual association between housework activities, sleep duration and self-reported health, and additionally examined the combined associations of total housework and sleep duration on self-reported health among elderly men and women in selected high-income countries. As far as we know, this is the first study to analyze these interactive associations among elderly men and women in six European countries and the US using time use data. On the descriptive level, our study showed that elderly women allocate more time to routine and repetitive housework such as cleaning and cooking, whereas elderly men tend to devote more time to occasional tasks such as gardening and maintenance. Interestingly, both routine and occasional housework activities were positively associated with health among elderly men and women, but the magnitude of the association varied. Regarding time spent on total housework activities, there were gender and cross-country differences. Women spent more time than men in housework activities, consistent with previous literature [11, 12]. However, we observed a cross-country variation in time devoted to these activities. The result as shown in Additional file 2: Table S1 revealed that elderly women in the southern European countries and Germany allocated most time to total housework activities. In contrast, men’s total housework activities were about 2 h per day less than that of women in the southern European countries. Meanwhile, the difference in housework among older men and women was approximately 1 h per day in Germany. Gender differences in the allocation of time especially for housework may to some extent be explained by cultural and social norms [34]. These norms may shape total work distribution and time use patterns of the various task of life among men and women. For instance, in the southern European countries where gender roles are still shaped in a more traditional way [34], women devote a significant amount of time to housework activities while the amount of time devoted to other time use activities may be reduced.

Housework activities, sleep hours and health

Although gender inequality in time allocation to housework activities exists [15, 16], we found that time devoted to the three broad categories of housework activities were positively associated with health among elderly women and men. Our findings of the association between routine housework activities (cleaning, cooking and shopping) and health contrast with a recent study conducted in China. Wen et al. [26] found no significant association of cooking, cleaning and grocery shopping and health among older men, but washing clothes and house cleaning were negatively associated with health among women. Meanwhile, our results corroborate a longitudinal study of 2761 older Americans aged 65 years [35]. Glass et al. [35] found productive housework activities such as cooking, shopping and gardening to be associated with lower risk of mortality. To these effects, we note that the three broad categories of housework activities involve some form of physical activities which may be beneficial to health among older adults [36]. Gardening and maintenance activities may increase fitness level and muscle strength because they require some form of physical exertion such as carrying equipment for repair works, lawn mowing, shoveling, digging holes and carrying soil. Previous studies have also stressed the health benefits of gardening for older adults; such benefits include physical health, psychological health, cognitive ability, and low risk of depression [37, 38]. Park et al. [39] recently reported that gardening has a positive effect on the blood lipid profiles, blood pressure and level of inflammatory markers in blood.
We also found a positive association between childcare and health status among older people. Although the amount of time devoted to childcare activities among the elderly is very small compared to young adults [6], caregiving support, especially caring for grandchildren, has been linked with good psychosocial health [40, 41]. Ku et al. [41] found that grandparenting was positively associated with good self-reported health and lower risk of depression. However, in some instances, more time devoted to childcare among older adults may have a negative impact on their physical or mental health [42], especially among custodial grandparents [43, 44].
Regarding time devoted to total housework hours, the result showed a positive association with health status among both genders. The few studies that examined the effects of total time spent on housework and health among elderly men have given inconsistent results [26, 35, 45, 46]. Lawlor et al. [46] reported that heavy housework was not associated with reduced likelihood of being overweight among British women aged 60 to 79 years.
Among the working population, unequal division of household labor has been linked with adverse health outcomes especially among women [19, 21]. One main hypothesis that has been advanced to explain these gender-specific inequalities in health is the “double burden” of work hypothesis. It has been postulated that the combination of paid market work and domestic work may be more stressful for women than men [47], which may affect women’s health negatively [19, 48]. Research findings [6, 34] indicate that the patterns and distribution of time use vary largely among the elderly and the working population. Therefore, the elderly may not have the same time constraints of combining both paid work and household activities like the working-age adults. In this case, the “double burden” of work hypothesis might lose its premise in explaining the effect of total housework on health among elderly men and women. In our view, housework activities by the older population can be perceived as domestic leisure activities [12] and forms of domestic physical activities [38] rather than “work overload”, given a changed time availability after retirement. Hence, there is overall evidence for a positive association between housework activities and health status among elderly men and women.
Regarding sleep duration and self-reported health, we found a U-shaped association where both short (<7 h) and long (>8 h) sleep duration were negatively associated with self-reported health for both genders, consistent with prior findings [4952]. The magnitude of the association was greater for long in comparison with short sleep duration. No significant difference in sleep duration was found between men and women within-countries, but there were cross-national variations (Additional file 2: Table S1). Currently, it is unclear whether older men or older women actually sleep longer on average [5355]. Nevertheless, both elderly men and women allocate more time to sleep than any other time use activity [6, 24]. This time use pattern is expected among older individuals due to the increasing incidence of adverse health conditions [6]. Conversely, both short and long sleep duration have been found to be associated with adverse health outcomes including diabetes mellitus [55, 56] obesity [57, 58], osteoporosis [59] and hypertension [60]. Furthermore, recent studies suggest that both short and long sleep duration are associated with increased mortality rates [23, 61]. Considering gender, a cohort study by Ikehara et al. [62] showed a U-shaped association between sleep duration and all-cause mortality for both men and women. Even though our data does not permit examining the association with mortality, previous studies have consistently shown a strong relationship between self-reported health and mortality [63, 64].
While the assessment of gender differences in housework and sleep duration with health status was informative, our study further examined the combined associations, as they provide information about a potentially important interactive gender effect. The results showed that the interactive associations between housework, sleep duration and self-reported health vary by gender. Among men, the combination of longest housework hours with either short or long sleep duration yielded a strong positive association with self-reported health. On the contrary, a combination of longest housework hours with either short or long sleep duration yielded a negative association on self-reported health among women. The result suggests that regardless of sleep duration, less housework was associated with poor health status among both genders.
There is no prior evidence of the combined association of sleep duration and time devoted to housework on health status. Nonetheless, Kiosses and Alexopoulos [65] found that older adults who report higher levels of depression devote less time to housework and other instrumental activities of daily living (IADL) such as shopping and meal preparation. This negative association can be explained by little or no physical or mental energy associated with less housework, as physical inactivity has been found to play a significant role in the development of chronic diseases [66]. As discussed above, short and long sleep durations have also been linked to poor health [55, 56], therefore our findings of the combined effects may be attributed to the negative correlations between less housework, poor sleep and health. Regarding long housework hours and sleep duration, we observed a different pattern among both genders (Fig. 1a and b). For men, long hours of housework was associated with good health status regardless of sleep duration, whereas these very long hours of housework combined with either short or long sleep was negatively associated with health among women. In fact, these patterns suggest that long housework hours is less sensitive to elderly men’s health [67] since the impact of long housework and health status appeared to be least influenced by sleep duration.

Limitations and strengths

Our study has some limitations. First, the cross-sectional design of the study prevents conclusions about causality because the association between sleep duration, housework hours and self-reported health may be reciprocal. Second, this study relied on subjective measures to assess duration of sleep, housework and health. However, time use estimates of daily activities have been found to be more accurate and reliable in time use surveys than survey estimates [68, 69]. Notwithstanding, we acknowledge that sleep disturbance [70], may impinge on sleep quality and duration [71], but sleep quality cannot be assessed with time use surveys [24]. Thus, future research should explore objective and sophisticated time use data collection technologies such as smart-phone apps and actigraphy. Third, due to data availability and constrains, we used diary data of time use surveys that have been collected at different points in time with different modes of data collection in the chosen countries, but evaluation studies suggest that these differences do not affect the comparability of the data [11]. Despite these limitations, this current study provides an initial overview of housework activities, sleep duration and their correlations with self-reported health of the population aged 65+ years using a large-scale, homogeneous and comparative set of time use data in Europe as well as the US.

Conclusions

We provide the first evidence of the associations between housework activities, sleep duration and self-reported health among older individuals in selected high-income countries. Our findings suggest that housework activities remain strongly gendered even after retirement. Our findings further suggest that even though time allocation to housework activities may be beneficial to the health among elderly men and women, women have higher odds of reporting poor health when more time is devoted total housework combined with either short or long sleep duration.

Acknowledgments

The authors thank Prof. Dr. med. Hajo Zeeb, Dr. Ingeborg Jahn and Prof. Elisabeth Jonas for their useful comments and suggestions.

Authors’ contribution

NKA conceived the study, performed statistical analysis and drafted the manuscript. NKA and TB critically revised and reviewed the manuscript. All authors read and approved the final manuscript.

Funding

There was no funding source.

Availability of data and materials

The data used for this study comes from the Multinational Time Use Study (MTUS). Detailed information on the survey design and characteristics are provided on the MTUS homepage, https://​www.​timeuse.​org/​mtus
The authors were granted approval from the Multinational Time Use Study Review Board to obtain and use the collected data for analysis. All data were anonymized prior to the authors receiving the data.
Not applicable

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat Grapsa E, Posel D. Sequencing the real time of the elderly: evidence from South Africa. Demogr Res. 2016;35:711–44.CrossRef Grapsa E, Posel D. Sequencing the real time of the elderly: evidence from South Africa. Demogr Res. 2016;35:711–44.CrossRef
3.
Zurück zum Zitat Einolf CJ. Will the boomers volunteer during retirement? Comparing the baby boom, silent, and long civic cohorts. Nonprofit Volunt Sect Q. 2009;38:181–99.CrossRef Einolf CJ. Will the boomers volunteer during retirement? Comparing the baby boom, silent, and long civic cohorts. Nonprofit Volunt Sect Q. 2009;38:181–99.CrossRef
4.
Zurück zum Zitat Musick MA, Herzog AR, House JS. Volunteering and mortality among older adults: findings from a national sample. J Gerontol Ser B Psychol Sci Soc Sci. 1999;54:S173–80.CrossRef Musick MA, Herzog AR, House JS. Volunteering and mortality among older adults: findings from a national sample. J Gerontol Ser B Psychol Sci Soc Sci. 1999;54:S173–80.CrossRef
5.
Zurück zum Zitat Zimmer Z, Lin H-S. Leisure activity and well-being among the elderly in Taiwan: testing hypotheses in an Asian setting. Journal of Cross-Cultural Gerontology. 1996;11:167–86.CrossRefPubMed Zimmer Z, Lin H-S. Leisure activity and well-being among the elderly in Taiwan: testing hypotheses in an Asian setting. Journal of Cross-Cultural Gerontology. 1996;11:167–86.CrossRefPubMed
6.
Zurück zum Zitat Gauthier AH, Smeeding TM. Time use at older ages cross-National Differences. Research on Aging. 2003;25:247–74.CrossRef Gauthier AH, Smeeding TM. Time use at older ages cross-National Differences. Research on Aging. 2003;25:247–74.CrossRef
7.
Zurück zum Zitat Cardia E, Ng S. Intergenerational time transfers and childcare. Rev Econ Dyn. 2003;6:431–54.CrossRef Cardia E, Ng S. Intergenerational time transfers and childcare. Rev Econ Dyn. 2003;6:431–54.CrossRef
8.
Zurück zum Zitat Lumsdaine RL, Vermeer SJC. Retirement Timing of Women and the Role of Care Responsibilities for Grandchildren. National Bureau of Economic Research. 2014;20756:20756. Lumsdaine RL, Vermeer SJC. Retirement Timing of Women and the Role of Care Responsibilities for Grandchildren. National Bureau of Economic Research. 2014;20756:20756.
9.
Zurück zum Zitat Krantz-Kent R, Stewart J. How do older Americans spend their time. Monthly Lab Rev. 2007;130:8. Krantz-Kent R, Stewart J. How do older Americans spend their time. Monthly Lab Rev. 2007;130:8.
10.
11.
Zurück zum Zitat Robinson J, Godbey G Time for life: the surprising ways Americans use their time: Penn State press.(2010) Robinson J, Godbey G Time for life: the surprising ways Americans use their time: Penn State press.(2010)
12.
Zurück zum Zitat Leitner MJ. Leitner SF. Leisure in later life: Haworth Press New York; 2004. Leitner MJ. Leitner SF. Leisure in later life: Haworth Press New York; 2004.
13.
Zurück zum Zitat Szinovacz ME. Changes in housework after retirement: a panel analysis. J Marriage Fam. 2000;62:78–92.CrossRef Szinovacz ME. Changes in housework after retirement: a panel analysis. J Marriage Fam. 2000;62:78–92.CrossRef
14.
Zurück zum Zitat Adjei NK, Brand T, Zeeb H. Gender inequality in self-reported health among the elderly in contemporary welfare countries: a cross-country analysis of time use activities, socioeconomic positions and family characteristics. PLoS One. 2017;12:e0184676.CrossRefPubMedPubMedCentral Adjei NK, Brand T, Zeeb H. Gender inequality in self-reported health among the elderly in contemporary welfare countries: a cross-country analysis of time use activities, socioeconomic positions and family characteristics. PLoS One. 2017;12:e0184676.CrossRefPubMedPubMedCentral
15.
Zurück zum Zitat Bianchi SM, Sayer LC, Milkie MA, Robinson JP. Housework: who did, does or will do it, and how much does it matter? Social Forces. 2012;91:55–63.CrossRef Bianchi SM, Sayer LC, Milkie MA, Robinson JP. Housework: who did, does or will do it, and how much does it matter? Social Forces. 2012;91:55–63.CrossRef
16.
Zurück zum Zitat Sayer LC. Trends in Women’s and Men’s time use, 1965–2012: back to the future? Gender and Couple Relationships: Springer; 2016. p. 43–77. Sayer LC. Trends in Women’s and Men’s time use, 1965–2012: back to the future? Gender and Couple Relationships: Springer; 2016. p. 43–77.
17.
Zurück zum Zitat Coltrane S. Research on household labor: modeling and measuring the social embeddedness of routine family work. J Marriage Fam. 2000;62:1208–33.CrossRef Coltrane S. Research on household labor: modeling and measuring the social embeddedness of routine family work. J Marriage Fam. 2000;62:1208–33.CrossRef
18.
Zurück zum Zitat Barnett RC, Shen Y-C. Gender, high-and low-schedule-control housework tasks, and psychological distress a study of dual-earner couples. J Fam Issues. 1997;18:403–28.CrossRef Barnett RC, Shen Y-C. Gender, high-and low-schedule-control housework tasks, and psychological distress a study of dual-earner couples. J Fam Issues. 1997;18:403–28.CrossRef
19.
Zurück zum Zitat Bird CE. Gender, household labor, and psychological distress: the impact of the amount and division of housework. J Health Soc Behav. 1999:32–45. Bird CE. Gender, household labor, and psychological distress: the impact of the amount and division of housework. J Health Soc Behav. 1999:32–45.
20.
Zurück zum Zitat Glass J, Fujimoto T. Housework, paid work, and depression among husbands and wives. J Health Soc Behav. 1994:179–91. Glass J, Fujimoto T. Housework, paid work, and depression among husbands and wives. J Health Soc Behav. 1994:179–91.
21.
22.
Zurück zum Zitat Everard KM, Lach HW, Fisher EB, Baum MC. Relationship of activity and social support to the functional health of older adults. J Gerontol Ser B Psychol Sci Soc Sci. 2000;55:S208–12.CrossRef Everard KM, Lach HW, Fisher EB, Baum MC. Relationship of activity and social support to the functional health of older adults. J Gerontol Ser B Psychol Sci Soc Sci. 2000;55:S208–12.CrossRef
23.
Zurück zum Zitat Gallicchio L, Kalesan B. Sleep duration and mortality: a systematic review and meta-analysis. J Sleep Res. 2009;18:148–58.CrossRefPubMed Gallicchio L, Kalesan B. Sleep duration and mortality: a systematic review and meta-analysis. J Sleep Res. 2009;18:148–58.CrossRefPubMed
24.
Zurück zum Zitat Chatzitheochari S, Arber S. Lack of sleep, work and the long hours culture: evidence from the UK time use survey. Work, Employment & Society. 2009;23:30–48.CrossRef Chatzitheochari S, Arber S. Lack of sleep, work and the long hours culture: evidence from the UK time use survey. Work, Employment & Society. 2009;23:30–48.CrossRef
25.
Zurück zum Zitat Grandner MA, Patel NP, Gehrman PR, Perlis ML, Pack AI. Problems associated with short sleep: bridging the gap between laboratory and epidemiological studies. Sleep Med Rev. 2010;14:239–47.CrossRefPubMed Grandner MA, Patel NP, Gehrman PR, Perlis ML, Pack AI. Problems associated with short sleep: bridging the gap between laboratory and epidemiological studies. Sleep Med Rev. 2010;14:239–47.CrossRefPubMed
26.
Zurück zum Zitat Wen X, Liang Y, Zhu J, Wu T. The effects of housework on the health of retired older adults: a preliminary investigation from the Tongji-Dongfeng cohort study, China. PLoS One. 2013;8:e57232.CrossRefPubMedPubMedCentral Wen X, Liang Y, Zhu J, Wu T. The effects of housework on the health of retired older adults: a preliminary investigation from the Tongji-Dongfeng cohort study, China. PLoS One. 2013;8:e57232.CrossRefPubMedPubMedCentral
27.
Zurück zum Zitat Fisher K, Gershuny J, Gauthier A Multinational time use study–User’s guide and documentation (2012). Fisher K, Gershuny J, Gauthier A Multinational time use study–User’s guide and documentation (2012).
28.
Zurück zum Zitat Klumb PL, Baltes MM. Time use of old and very old Berliners: productive and consumptive activities as functions of resources. J Gerontol Ser B Psychol Sci Soc Sci. 1999;54:S271–8.CrossRef Klumb PL, Baltes MM. Time use of old and very old Berliners: productive and consumptive activities as functions of resources. J Gerontol Ser B Psychol Sci Soc Sci. 1999;54:S271–8.CrossRef
29.
Zurück zum Zitat Reid MG Economics of household production (1934). Reid MG Economics of household production (1934).
30.
Zurück zum Zitat da Silva AA, de Mello RGB, Schaan CW, Fuchs FD, Redline S, et al. Sleep duration and mortality in the elderly: a systematic review with meta-analysis. BMJ Open. 2016;6:e008119.CrossRefPubMedPubMedCentral da Silva AA, de Mello RGB, Schaan CW, Fuchs FD, Redline S, et al. Sleep duration and mortality in the elderly: a systematic review with meta-analysis. BMJ Open. 2016;6:e008119.CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Idler EL, Benyamini Y. Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav. 1997;38:21–37.CrossRefPubMed Idler EL, Benyamini Y. Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav. 1997;38:21–37.CrossRefPubMed
32.
Zurück zum Zitat DeSalvo KB, Bloser N, Reynolds K, He J, Muntner P. Mortality prediction with a single general self-rated health question. J Gen Intern Med. 2006;21:267–75.CrossRefPubMedPubMedCentral DeSalvo KB, Bloser N, Reynolds K, He J, Muntner P. Mortality prediction with a single general self-rated health question. J Gen Intern Med. 2006;21:267–75.CrossRefPubMedPubMedCentral
33.
Zurück zum Zitat StataCorp Stata 14 base reference manual. College Station, TX: Stata Press (2015). StataCorp Stata 14 base reference manual. College Station, TX: Stata Press (2015).
34.
Zurück zum Zitat Anxo D, Flood L, Mencarini L, Pailhé A, Solaz A, et al. Time allocation between work and family over the life-cycle: a comparative gender analysis of Italy. Sweden and the United States: France; 2007. Anxo D, Flood L, Mencarini L, Pailhé A, Solaz A, et al. Time allocation between work and family over the life-cycle: a comparative gender analysis of Italy. Sweden and the United States: France; 2007.
35.
Zurück zum Zitat Glass TA, de Leon CM, Marottoli RA, Berkman LF. Population based study of social and productive activities as predictors of survival among elderly Americans. BMJ. 1999;319:478–83.CrossRefPubMedPubMedCentral Glass TA, de Leon CM, Marottoli RA, Berkman LF. Population based study of social and productive activities as predictors of survival among elderly Americans. BMJ. 1999;319:478–83.CrossRefPubMedPubMedCentral
36.
Zurück zum Zitat Walsh JM, Rogot Pressman A, Cauley JA, Browner WS. Predictors of physical activity in community-dwelling elderly white women. J Gen Intern Med. 2001;16:721–7.CrossRefPubMedPubMedCentral Walsh JM, Rogot Pressman A, Cauley JA, Browner WS. Predictors of physical activity in community-dwelling elderly white women. J Gen Intern Med. 2001;16:721–7.CrossRefPubMedPubMedCentral
37.
Zurück zum Zitat Park S-A, Shoemaker CA, Haub MD. Physical and psychological health conditions of older adults classified as gardeners or nongardeners. Hortscience. 2009;44:206–10. Park S-A, Shoemaker CA, Haub MD. Physical and psychological health conditions of older adults classified as gardeners or nongardeners. Hortscience. 2009;44:206–10.
38.
Zurück zum Zitat Park S-A, Lee A-Y, Son K-C, Lee W-L, Kim D-S. Gardening intervention for physical and psychological health benefits in elderly women at community centers. HortTechnology. 2016;26:474–83.CrossRef Park S-A, Lee A-Y, Son K-C, Lee W-L, Kim D-S. Gardening intervention for physical and psychological health benefits in elderly women at community centers. HortTechnology. 2016;26:474–83.CrossRef
39.
Zurück zum Zitat Park S-A, Lee A-Y, Park H-G, Son K-C, Kim D-S, et al. Gardening intervention as a low-to moderate-intensity physical activity for improving blood lipid profiles, blood pressure, inflammation, and oxidative stress in women over the age of 70: a pilot study. Hortscience. 2017;52:200–5.CrossRef Park S-A, Lee A-Y, Park H-G, Son K-C, Kim D-S, et al. Gardening intervention as a low-to moderate-intensity physical activity for improving blood lipid profiles, blood pressure, inflammation, and oxidative stress in women over the age of 70: a pilot study. Hortscience. 2017;52:200–5.CrossRef
40.
Zurück zum Zitat Grundy EM, Albala C, Allen E, Dangour AD, Elbourne D, et al. Grandparenting and psychosocial health among older Chileans: a longitudinal analysis. Aging Ment Health. 2012;16:1047–57.CrossRefPubMedPubMedCentral Grundy EM, Albala C, Allen E, Dangour AD, Elbourne D, et al. Grandparenting and psychosocial health among older Chileans: a longitudinal analysis. Aging Ment Health. 2012;16:1047–57.CrossRefPubMedPubMedCentral
41.
Zurück zum Zitat Ku L-JE, Stearns SC, Van Houtven CH, Lee S-YD, Dilworth-Anderson P, et al. Impact of caring for grandchildren on the health of grandparents in Taiwan. J Gerontol Ser B Psychol Sci Soc Sci. 2013;68:1009–21.CrossRef Ku L-JE, Stearns SC, Van Houtven CH, Lee S-YD, Dilworth-Anderson P, et al. Impact of caring for grandchildren on the health of grandparents in Taiwan. J Gerontol Ser B Psychol Sci Soc Sci. 2013;68:1009–21.CrossRef
42.
Zurück zum Zitat Hayslip B, Kaminski PL. Grandparents raising their grandchildren: a review of the literature and suggestions for practice. The Gerontologist. 2005;45:262–9.CrossRefPubMed Hayslip B, Kaminski PL. Grandparents raising their grandchildren: a review of the literature and suggestions for practice. The Gerontologist. 2005;45:262–9.CrossRefPubMed
43.
Zurück zum Zitat Hadfield JC. The health of grandparents raising grandchildren: a literature review. J Gerontol Nurs. 2014;40:32–42.CrossRefPubMed Hadfield JC. The health of grandparents raising grandchildren: a literature review. J Gerontol Nurs. 2014;40:32–42.CrossRefPubMed
45.
Zurück zum Zitat Borrell C, Muntaner C, Benach J, La A. Social class and self-reported health status among men and women: what is the role of work organisation, household material standards and household labour? Soc Sci Med. 2004;58:1869–87.CrossRefPubMed Borrell C, Muntaner C, Benach J, La A. Social class and self-reported health status among men and women: what is the role of work organisation, household material standards and household labour? Soc Sci Med. 2004;58:1869–87.CrossRefPubMed
46.
Zurück zum Zitat Lawlor D, Taylor M, Bedford C, Ebrahim S. Is housework good for health? Levels of physical activity and factors associated with activity in elderly women. Results from the British Women's heart and health study. J Epidemiol Community Health. 2002;56:473–8.CrossRefPubMedPubMedCentral Lawlor D, Taylor M, Bedford C, Ebrahim S. Is housework good for health? Levels of physical activity and factors associated with activity in elderly women. Results from the British Women's heart and health study. J Epidemiol Community Health. 2002;56:473–8.CrossRefPubMedPubMedCentral
47.
Zurück zum Zitat Bratberg E, Dahl SÅ, Risa AE. The double burden’: do combinations of career and family obligations increase sickness absence among women? Eur Sociol Rev. 2002;18:233–49.CrossRef Bratberg E, Dahl SÅ, Risa AE. The double burden’: do combinations of career and family obligations increase sickness absence among women? Eur Sociol Rev. 2002;18:233–49.CrossRef
48.
Zurück zum Zitat Hunt K, Annandale E. Just the job? Is the relationship between health and domestic and paid work gender-specific? Sociology of Health & Illness. 1993;15:632–64.CrossRef Hunt K, Annandale E. Just the job? Is the relationship between health and domestic and paid work gender-specific? Sociology of Health & Illness. 1993;15:632–64.CrossRef
49.
Zurück zum Zitat Kim J-H, Kim KR, Cho KH, Yoo K-B, Kwon JA, et al. The association between sleep duration and self-rated health in the Korean general population. Journal of clinical sleep medicine: JCSM: official publication of the American Academy of Sleep Medicine. 2013;9:1057. Kim J-H, Kim KR, Cho KH, Yoo K-B, Kwon JA, et al. The association between sleep duration and self-rated health in the Korean general population. Journal of clinical sleep medicine: JCSM: official publication of the American Academy of Sleep Medicine. 2013;9:1057.
50.
51.
52.
Zurück zum Zitat Magee CA, Caputi P, Iverson DC. Relationships between self-rated health, quality of life and sleep duration in middle aged and elderly Australians. Sleep Med. 2011;12:346–50.CrossRefPubMed Magee CA, Caputi P, Iverson DC. Relationships between self-rated health, quality of life and sleep duration in middle aged and elderly Australians. Sleep Med. 2011;12:346–50.CrossRefPubMed
53.
Zurück zum Zitat Ohayon MM. Interactions between sleep normative data and sociocultural characteristics in the elderly. J Psychosom Res. 2004;56:479–86.CrossRefPubMed Ohayon MM. Interactions between sleep normative data and sociocultural characteristics in the elderly. J Psychosom Res. 2004;56:479–86.CrossRefPubMed
54.
Zurück zum Zitat Tamakoshi A, Ohno Y. Self-reported sleep duration as a predictor of all-cause mortality: results from the JACC study, Japan. SLEEP-NEW YORK THEN WESTCHESTER. 2004;27:51–4. Tamakoshi A, Ohno Y. Self-reported sleep duration as a predictor of all-cause mortality: results from the JACC study, Japan. SLEEP-NEW YORK THEN WESTCHESTER. 2004;27:51–4.
55.
Zurück zum Zitat Cappuccio FP, D'elia L, Strazzullo P, Miller MA. Quantity and quality of sleep and incidence of type 2 diabetes. Diabetes Care. 2010;33:414–20.CrossRefPubMed Cappuccio FP, D'elia L, Strazzullo P, Miller MA. Quantity and quality of sleep and incidence of type 2 diabetes. Diabetes Care. 2010;33:414–20.CrossRefPubMed
56.
Zurück zum Zitat Gottlieb DJ, Punjabi NM, Newman AB, Resnick HE, Redline S, et al. Association of sleep time with diabetes mellitus and impaired glucose tolerance. Arch Intern Med. 2005;165:863–7.CrossRefPubMed Gottlieb DJ, Punjabi NM, Newman AB, Resnick HE, Redline S, et al. Association of sleep time with diabetes mellitus and impaired glucose tolerance. Arch Intern Med. 2005;165:863–7.CrossRefPubMed
57.
Zurück zum Zitat Cappuccio FP, Taggart FM, Kandala N, Currie A, Peile E, et al. Meta-analysis of short sleep duration and obesity in children and adults. SLEEP-NEW YORK THEN WESTCHESTER. 2008;31:619. Cappuccio FP, Taggart FM, Kandala N, Currie A, Peile E, et al. Meta-analysis of short sleep duration and obesity in children and adults. SLEEP-NEW YORK THEN WESTCHESTER. 2008;31:619.
58.
Zurück zum Zitat Gangwisch JE, Malaspina D, Boden-Albala B, Heymsfield SB. Inadequate sleep as a risk factor for obesity: analyses of the NHANES I. SLEEP-NEW YORK THEN WESTCHESTER. 2005;28:1289. Gangwisch JE, Malaspina D, Boden-Albala B, Heymsfield SB. Inadequate sleep as a risk factor for obesity: analyses of the NHANES I. SLEEP-NEW YORK THEN WESTCHESTER. 2005;28:1289.
59.
Zurück zum Zitat Lima MG, Francisco PMSB, de Azevedo Barros MB. Sleep duration pattern and chronic diseases in Brazilian adults (ISACAMP, 2008/09). Sleep Med. 2012;13:139–44.CrossRefPubMed Lima MG, Francisco PMSB, de Azevedo Barros MB. Sleep duration pattern and chronic diseases in Brazilian adults (ISACAMP, 2008/09). Sleep Med. 2012;13:139–44.CrossRefPubMed
60.
Zurück zum Zitat Nagai M, Hoshide S, Kario K. Sleep duration as a risk factor for cardiovascular disease-a review of the recent literature. Curr Cardiol Rev. 2010;6:54–61.CrossRefPubMedPubMedCentral Nagai M, Hoshide S, Kario K. Sleep duration as a risk factor for cardiovascular disease-a review of the recent literature. Curr Cardiol Rev. 2010;6:54–61.CrossRefPubMedPubMedCentral
61.
Zurück zum Zitat Cappuccio FP, D'Elia L, Strazzullo P, Miller MA. Sleep duration and all-cause mortality: a systematic review and meta-analysis of prospective studies. Sleep. 2010;33:585.CrossRefPubMedPubMedCentral Cappuccio FP, D'Elia L, Strazzullo P, Miller MA. Sleep duration and all-cause mortality: a systematic review and meta-analysis of prospective studies. Sleep. 2010;33:585.CrossRefPubMedPubMedCentral
62.
Zurück zum Zitat Ikehara S, Iso H, Date C, Kikuchi S, Watanabe Y, et al. Association of sleep duration with mortality from cardiovascular disease and other causes for Japanese men and wom-en: the JACC study. Sleep. 2009;32:259–301.CrossRef Ikehara S, Iso H, Date C, Kikuchi S, Watanabe Y, et al. Association of sleep duration with mortality from cardiovascular disease and other causes for Japanese men and wom-en: the JACC study. Sleep. 2009;32:259–301.CrossRef
64.
Zurück zum Zitat Zhao J, Yiengprugsawan V, Seubsman S-a, Kelly M, Bain C, et al. Self-reported health and subsequent mortality: an analysis of 767 deaths from a large Thai cohort study. BMC Public Health. 2014;14:860.CrossRefPubMedPubMedCentral Zhao J, Yiengprugsawan V, Seubsman S-a, Kelly M, Bain C, et al. Self-reported health and subsequent mortality: an analysis of 767 deaths from a large Thai cohort study. BMC Public Health. 2014;14:860.CrossRefPubMedPubMedCentral
65.
Zurück zum Zitat Kiosses DN, Alexopoulos GS. IADL functions, cognitive deficits, and severity of depression: a preliminary study. Am J Geriatr Psychiatry. 2005;13:244–9.CrossRefPubMed Kiosses DN, Alexopoulos GS. IADL functions, cognitive deficits, and severity of depression: a preliminary study. Am J Geriatr Psychiatry. 2005;13:244–9.CrossRefPubMed
66.
Zurück zum Zitat Warburton DE, Nicol CW, Bredin SS. Health benefits of physical activity: the evidence. Can Med Assoc J. 2006;174:801–9.CrossRef Warburton DE, Nicol CW, Bredin SS. Health benefits of physical activity: the evidence. Can Med Assoc J. 2006;174:801–9.CrossRef
67.
Zurück zum Zitat Geist C, Tabler J. Somebody has to DUST! Gender, health, and housework in older couples. Journal of Women & Aging. 2017:1–11. Geist C, Tabler J. Somebody has to DUST! Gender, health, and housework in older couples. Journal of Women & Aging. 2017:1–11.
68.
Zurück zum Zitat Bonke J. Paid work and unpaid work: diary information versus questionnaire information. Soc Indic Res. 2005;70:349–68.CrossRef Bonke J. Paid work and unpaid work: diary information versus questionnaire information. Soc Indic Res. 2005;70:349–68.CrossRef
69.
Zurück zum Zitat Kan MY, Pudney S. Measurement error in stylized and diary data on time use. Sociol Methodol. 2008;38:101–32.CrossRef Kan MY, Pudney S. Measurement error in stylized and diary data on time use. Sociol Methodol. 2008;38:101–32.CrossRef
70.
Zurück zum Zitat Lee M, Choh A, Demerath E, Knutson K, Duren D, et al. Sleep disturbance in relation to health-related quality of life in adults: the Fels longitudinal study. J Nutr Health Aging. 2009;13:576–83.CrossRefPubMedPubMedCentral Lee M, Choh A, Demerath E, Knutson K, Duren D, et al. Sleep disturbance in relation to health-related quality of life in adults: the Fels longitudinal study. J Nutr Health Aging. 2009;13:576–83.CrossRefPubMedPubMedCentral
71.
Zurück zum Zitat Kumari M, Green R, Nazroo J. Sleep duration and sleep disturbance. Financial circumstances, health and well-being of the older population in England: the. 2008:178–226. Kumari M, Green R, Nazroo J. Sleep duration and sleep disturbance. Financial circumstances, health and well-being of the older population in England: the. 2008:178–226.
Metadaten
Titel
Investigating the associations between productive housework activities, sleep hours and self-reported health among elderly men and women in western industrialised countries
verfasst von
Nicholas Kofi Adjei
Tilman Brand
Publikationsdatum
01.12.2018
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2018
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-017-4979-z

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