Division of labor, perceived labor-related stress and well-being among European couples ()
1. INTRODUCTION
Traditional views of the gendered division of labor imply that women take responsibility for the home and family, while men are the breadwinners [1]. These views are reflected in statistics showing that the distribution of paid and unpaid work is most often unequally divided between married or cohabiting men and women. Recent studies show that American and European women spend less time performing paid work and more time performing unpaid work than men do [2-7]. However, the equalization of responsibilities and opportunities between married or cohabiting men and women regarding the division of work is a common political goal in the European Union. These goals are based on the belief that an equal distribution of labor will equalize power relations within couples and promote the well-being of both women and men [8].
Several studies have explored the relationship between time spent on paid or unpaid work and well-being. Time spent on paid work seems to increase well-being for both women and men [7,9], but the relationship is curvilinear, and working too many hours can have the opposite effect on well-being [10]. In contrast, for both men and women, time spent on unpaid work seems to lower well-being or has no effect on it [7,9,11]. Some studies in the US and in Europe have found that time spent on housework contributes to gender differences in well-being. The generally lower sense of well-being among women than among men is associated with men’s lower, and women’s higher, contribution to housework [2,4,7,12]. However, some studies have not found any significant relationship between the distribution of work within couples and the level of well-being [13,14], and some studies have even highlighted the fact that the situation is more stressful when spouses share the household work than if it is divided according to traditional patterns [15].
In addition to the influence of the actual involvement in paid and unpaid work on women’s and men’s wellbeing, there are also studies that have highlighted the importance of perceptions related to the actual level of involvement in labor. One is the perceived level of work/ family conflicts (WFCs). Men and women with a high level of involvement in paid work followed by a high engagement in unpaid work might have difficulties combining these two domains, which, in turn, can lead to an increased risk for experiencing WFC. Previous studies have reported that WFCs are more numerous for women than for men [14,16]. Irrespective of gender, WFCs have been shown to have a strong association with health problems [14], more so for women than for men [17]. High demands from work and family also tend to increase the risk of illness and absenteeism from work, with no significant difference between men and women [18].
Furthermore, some studies have shown that the perception of responsibility for housework and childcare is of more importance for psychological distress than the actual time spent on those activities [4,9,19]. Some researchers have analyzed perceptions related to how spouses divide labor, i.e., perceptions of fairness in the division of work(20, 21) or perceptions of the amount of hours spent on housework [4,20,21], but none of these studies has related such perceptions to the level of well-being.
Thus, there are studies on the relationship between actual labor involvement among women and men and indicators of health, and there are studies on the importance of perceptions related to the level of labor involvement and health outcomes. Although there are studies on labor involvement, perceptions and well-being, there are still gaps in our knowledge of the relationships between them. Studies of the relevance of involvement in paid and unpaid work have reported contradictory results. Furthermore, there are still relatively few studies that have analyzed the importance of perceptions related to involvement in labor, and there are even fewer studies that have compared the influence of actual involvement with the influence of perceptions of the involvement in the same study. Perceptions that have been studied (perceived WFC, responsibility or fairness) are in one way or another related to the degree to which the individual perceives the level of labor involvement as stressful. Therefore, this article focuses on the influence of perceived labor-related stress (including measures of stress related to paid work and housework, perceived WFCs and the level of disagreement about the division of labor) in relation to the influence of actual involvement in labor on well-being.
Aim
The aim of this study was to investigate how involvement in paid and unpaid work and perceived labor-related stress are related to the well-being of cohabiting men and women in Europe.
- Does actual labor involvement affect reported wellbeing?
- Is perceived labor-related stress related to reported well-being?
- Does actual labor involvement or perceived laborrelated stress have a stronger relationship to reported well-being?
- For the above questions, are there any differences between men and women?
2. METHOD
2.1. Participants
The data originate from the European Social Survey (ESS) round two, which was conducted in European countries from 2004 to 2005. A newer version of the ESS questionnaire with the same round of questions exists, but the questions have been changed in such a manner that they cannot be used for this article. Within the ESS, respondents were selected using a random probability method for each country [22]. The ESS sample is weighted for the country population and sample method.
The sample selected for this study was aged between 18 - 65 years. They were married or cohabiting and were employed full or part time. The sample consisted of 12,752 respondents, 5800 women (45.5%) and 6952 men (54.5%). The mean age was 41.8 years for women and 43.5 years for men. Unanswered questions included in this study were coded as missing.
2.2. Data Collection and Variables
The data were collected using face-to-face interviews with questionnaires that were similar in each country with the exception of some country-specific questions, such as questions about education. The questionnaire was translated into each respective language. Further information on the data collection can be found elsewhere [22].
2.2.1. Outcome Variable
Well-being was measured using the WHO-five wellbeing index [23]. The respondents were asked to respond on a six-point Likert scale (0 - 5) as to whether they, during the last two weeks, had felt cheerful and in good spirits, calm and relaxed, active and vigorous, had woken up feeling fresh and rested and felt that life had been filled with interesting things. The scores were added to an index reaching from 0 - 25, where a higher score represents better well-being (Cronbach’s alpha = 0.82). The index was dichotomized with the first quartile as the cut-off point: 0 - 13 = 1 and 14 - 25 = 0.
2.2.2. Exposure Variables
The exposure variables are divided into two main categories: actual labor involvement and perceived laborrelated stress.
1) Labor Involvement Labor involvement comprised four variables: work hours, time spent on housework, share of housework and total labor time. Work hours were measured as the total number of hours spent on paid work, including overtime, per week. The hours of labor were limited to 100 hours per week—those exceeding 100 hours were treated as an internal bias and were excluded from the analysis. Housework was defined as tasks performed around the home, such as cooking, washing, cleaning, care of clothes, shopping and maintenance of property. In the ESS, there is no direct question regarding time spent on housework, so the variable was calculated according to the method of Boye [2,24]. Share of housework was divided into four groups: 0 = up to 1/4 of the time, 1 = from 1/4 to 1/2 of the time; 2 = from 1/2 to 3/4 of the time; and 3 = from 3/4 to all of the time. Total labor time was calculated by summing the time spent on housework and work hours. This variable was divided into three categories: 1 = 0 - 45, 2 = 46 - 55 and 3 = over 55 hours.
2) Perceived Labor-Related Stress Four variables describe labor-related stress. Work-related stress was measured by one question regarding the respondent’s feeling of having enough time to do work assignments. Housework-related stress was an index of 0 - 12 points, with null representing no stress. The index was comprised from three questions in the ESS questionnaire (Cronbach’s alpha = 0.49). Using a five-point scale, the respondents were asked whether they agreed or disagreed that they had enough time to get everything done at home, that their housework was monotonous and that housework felt stressful.
The third variable, the perceived conflict between work and family (WFC), was a computed index (0 - 12 points) based on three questions with answers on a fivepoint scale (Cronbach’s alpha = 0.66). The questions concerned how often the respondent worried about work problems when not at work, felt too tired after work to enjoy the things he or she would have liked to do at home and felt that the job prevented him/her from giving the time he/she wanted to the partner or family. The above three variables were divided into four quartiles: 1) no stress; 2) low stress; 3) moderate stress; and 4) high stress.
The fourth variable consisted of two questions about the level of disagreement between the spouses about the division of housework and time spent on paid work. The index (0 - 12 points) was dichotomized into no disagreement or disagreement less than once a month (0 = agree, 1 - 2 points) and disagreement ranging from once a month to every day (1 = disagree, 3 - 12 points). A relatively high level of disagreement indicated that the division of labor was perceived as stressful.
2.2.3. Control Variables
The exposure variables were controlled for the following background variables: education, number of children, age, and gender attitudes. School systems differ between countries, so the variable education was based on the total number of years of education. This variable was divided into three groups: 1 = 0 to 9 years of education, 2 = 10 to 13 years and 3 = more than 13 years of education. Children were dichotomized into two categories: 0 = no children in the household and 1 = children living in the household. Age was divided into three categories: 18 to 33 years, 34 to 48 years and 49 to 65 years.
Gender attitude was added as a control variable because it is often a factor of importance when studying the division of labor between spouses [2,25-27]. The index gender attitude was composed of three responses. The respondents rated on a 5-point scale (0 - 4), ranging from agree strongly to disagree strongly, whether they agreed with the following statements: “a woman should be prepared to cut down on her paid work for the sake of her family”, “men should take as much responsibility as women for home and family”, and “men should have more right to a job than women”. The index (0 - 12) was coded so that a low value indicated a traditional gender attitude and a high value indicated a belief in gender equality. The index was dichotomized into 0 = traditional gender attitudes (1 - 6) and 1 = gender-equal attitudes (7 - 12).
2.3. Ethical Consideration
The ESS ethical frameworks for data collection follow the Declaration on Ethics of the International Statistical Institute [28]. All respondents gave written approval before entering the study and had the ability to stop the interview at any time.
2.4. Statistical Analysis
Initially, descriptive statistics of the outcome and exposure variables were calculated for the total sample as well as for women and men separately. The descriptive statistics presented consist of the mean values (with standard deviations) for the continuous variables and distributions for the categorical variables. A significance level of p < 0.05 was used to show the differences in the mean scores between men and women using the independent T-test.
A multiple logistic regression was carried out using odds ratios (OR) with a 95% confidence interval (CI). First, the crude data of all exposure variables were tested. Secondly, two models were developed. In the first model, the variables representing involvement in work were tested, and in the second model, labor-related stress variables were added. The results are presented in two tables, one for men and one for women. The Statistical Package of Social Science version 19 was used to analyze the data.
3. RESULT
Table 1 provides a descriptive overview of the outcome and exposure variables for cohabiting or married