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SA Journal of Industrial Psychology

On-line version ISSN 2071-0768

SA j. ind. Psychol. vol.35 n.1 Cape Town Jan. 2009

 

ORIGINAL RESEARCH

 

The balance between work and home: the relationship between work and home demands and ill health of employed females

 

 

Karina Mostert

WorkWell: Research Unit for Economic and Management Sciences, School of Human Resource Sciences, North-West University, Potchefstroom, South Africa

Correspondence to

 

 


ABSTRACT

The aim of this study was to investigate the relationship between work and home demands, work-home interference (WHI), home-work interference (HWI), and ill health of 500 employed females from various occupations. A structural model was tested with structural equation modelling. The results indicated that work demands (work pressure and work overload) are related to ill health (physical ill health, anxiety, depression) via WHI. On the other hand, home demands (home pressure and home overload) are directly related to HWI and to ill health.

Keywords: work demands; home demands; work-home interference; home-work interference; ill health


 

 

INTRODUCTION

Internationally, many changes have occurred in the women's labour market since the early 1980s. In several countries (e.g. Australia, Canada, the United States of America and Japan) there has been a trend towards the greater involvement of women in the labour force and pronounced changes in the patterns of employment of women over the family life cycle (Japan Institute for Labour Policy and Training, 2004; Sorrentino, 1990; United States Department of Labour Women's Bureau, 1999). In the US, women's labour-force participation rates have continued to increase since the 1940s. White women's participation rose from 53% in 1984 to 58% in 1992 and 59% in 2004. For black women, the participation rates increased from 55% to 59% and then to 62% during the same period (Meyer & Mukerjee, 2007). Due to legislation, such as the Employment Equity Act (Act No. 55 of 1998), the same trends are evident in South Africa (Statistics South Africa, 2005). Between 1995 and 2005, there was a substantial increase in labour force participation. Women benefited more from the increased demand for labour over the period, accounting for 55% of the increase in employment between 1995 and 2005, the bulk of which accrued to African women (Van der Westhuizen, Goga & Oosthuizen, 2007). Women accounted for almost six in ten new labour force members over the period. According to Burger and Woolard (2005), three-fifths of the new labour market entrants over the period 1995 to 2002 were women. The net effect is a feminisation of the South African labour force. In general, many wives and mothers continue to hold their jobs through marriage and child-raising responsibilities (Brusentsev, 2002; JILPT, 2004). In South Africa, it also seems that the possible financial burden posed by young children (under the age of seven years) increases the probability of females entering the labour market (Van der Westhuizen et al., 2007).

Despite the increase of women in the labour market, however, there seems to be no alteration in the outlook of gender-role expectations relating to men and women's roles in society. In households where both partners are employed, the work role is still seen to be men's primary domain, while women are still seen as the primary caretaker of the home and children (Doucet, 2000; Windebank, 2001). As a result, employed women have to juggle the demands of both work and family roles. Therefore, pressure may result from the added responsibilities women are contending with, functioning simultaneously as employees, spouses, mothers and members of extended families. According to Kahn, Wolfe, Quinn, Snoek and Rosenthal (1964), the simultaneous 'launching' of demands from various social systems (such as work and home) upon the individual may cause him/her to experience interference between the two roles or domains - i.e. interference between work and home. Work-home interference is defined as a process in which a worker's functioning (behaviour) in one domain (e.g. home) is influenced by negative load reactions that have built up in the other domain (e.g. work) (Geurts & Demerouti, 2003; Geurts, Kompier, Roxburgh & Houtman, 2003; Geurts, Taris, Kompier, Dikkers, Van Hooff & Kinnunen, 2005; Van Hooff et al., 2005). Prolonged conflict between work and home accompanied by demands in both domains, might generate stress, which can ultimately undermine the woman's sense of well-being (Allen, Herst, Bruck & Sutton, 2000; Eby, Casper, Lockwood, Bordeaux & Brinley, 2005; Frone, 2003).

It is clear from recent research literature that negative work-home interference is a bidirectional construct representing two distinct types of interference, namely work-interfering-with-home (or work-home interference [WHI] - where negative load reactions developed at work hamper functioning at home) and home-interfering-with-work (or home-work interference [HWI] - where negative load reactions developed at home hamper functioning at work) (see Frone, Russell & Cooper, 1992a; 1992b; Gutek, Searle & Klepa, 1991; MacEwen & Barling, 1994; Williams & Alliger, 1994). Although strongly correlated with one another, they are conceptually and empirically distinct constructs (Frone et al., 1992a; Geurts et al., 2005; Marais, Mostert, Geurts & Taris, 2009; Peeters, Montgomery, Bakker & Schaufeli, 2005). Nevertheless, few studies have simultaneously examined the relations between both types of work-home interference, in combination with demands from both work and home, and ill health. It is important to examine both types of interference because a relation between one type of interference and employee well-being does not allow one to infer that the other type of conflict is also related to poor health (Frone, Russell & Cooper, 1997).

This study aims to test a model of work and home demands, WHI and HWI, and the relationship with self-reported ill health.

Work demands

The general definition of work demands refers to the degree to which the working environment contains stimuli that require some effort (Jones & Fletcher, 1996) and encapsulates the idea that demands from work have negative consequences if they require additional effort beyond the usual to achieve work goals (Demerouti, Bakker, Nachreiner & Schaufeli, 2001). A number of studies have demonstrated relationships between work characteristics and subjective measures of general health (Van der Heijden, Demerouti, Bakker & the NEXT Study Group, 2008; Warren, Carayon & Hoonakker, 2008). For example, Borg and colleagues (Borg & Kristensen, 2000; Lund & Borg, 1999) focused on the impact of both psychosocial and physical work characteristics on self-rated health and found that repetitive work, high work demands, low social support, high job insecurity and high ergonomic exposures all predicted deterioration of self-rated health over time. Link, Lennon and Dohrenwend (1993) found that individuals in occupations that involved 'direction, control, and planning' were less likely to experience depression. Niedhammer, Goldberg, Leclerc, Bugel and David (1998) found that psychosocial factors at work (including psychological demands, low levels of decision latitude and low levels of support at work) were significant predictors of subsequent depressive symptoms. It is therefore hypothesised that work demands will be directly related to ill health (Hypothesis 1a).

Research suggests that pressure and overload are the most important factors determining WHI (Geurts, Rutte & Peeters, 1999; Montgomery, Peeters, Schaufeli & Van Ouden, 2003). For example, Britt and Dawson (2005) examined the concurrent and longitudinal predictors of work-family conflict among soldiers stationed in Europe. Their results revealed that objective and subjective measures of workload are strong concurrent predictors of work-family conflict. In South African studies, work characteristics account for between 24% and 38% of the variance in WHI (Mostert & Oosthuizen, 2006; Van Aarde & Mostert, 2008). Based on these results, it is hypothesised that work demands will be related to WHI (Hypothesis 1b).

Home demands

Research often fails to consider the role of both work and home demands in relation to ill health. Therefore a more comprehensive picture will be formed by also evaluating home demands. There is little evidence on the potential impact of home characteristics on ill health. Peeters et al. (2005) found that both work demands and home demands had a direct effect on burnout, apart from their relationship with WHI and HWI. In the framework of the Job Demand-Resources model (Demerouti et al., 2001), home demands will also require a certain amount of mental and physical effort that is associated with physiological and/or psychological cost. It is therefore plausible to reason that high home demands, like high work demands, will also be related to ill health (Hypothesis 2a).

Research findings consistently support that work is associated with interference originating from the work environment, whereas home characteristics are the major antecedents of interference stemming from the home domain (e.g. Demerouti, Geurts & Kompier, 2004b; Frone et al., 1992a; Geurts et al., 2005). For example, Peeters et al. (2005) aimed to make a clear distinction between work and home domains in the explanation of burnout. They found that work demands and home demands have a direct effect on burnout, in addition to the indirect effect through WHI and HWI. Van Aarde and Mostert (2008) also found a moderate but significant relationship between home pressure and HWI. Therefore it is hypothesised that there will be a significant relationship between home demands and HWI (Hypothesis 2b).

Work-home interference

Studies have shown that work and home conditions alone do not account for much variance in overall well-being (e.g. Noor, 1996; 2003), suggesting that there may be other processes at work. One possibility is the intervening role of WHI and HWI. Many studies have viewed WHI and HWI as mediators of relationships between work and family pressures and individual well-being (Janssen, Peeters, De Jonge, Houkes & Tummers, 2004; Koekemoer & Mostert, 2006; Montgomery et al., 2003; Peeters et al., 2005).

Previous studies have shown a direct relationship between WHI and ill health. According to these studies, WHI is not only associated with poor psychological health, including stress (Allen et al., 2000) and mental health (Chandola, Martikainen, Bartley, Lahelma, Marmot & Michikazy, 2004; Emslie, Hunt & Macintyre, 2004; Frone, 2000; Frone et al. 1997), but is also associated with poor general ill health, including general well-being (Grant-Vallone & Donaldsson, 2001), self-rated health (Emslie et al., 2004; Higgins, Duxbury & Johnson, 2004) and physical health (Frone et al., 1997; Van Hooff et al., 2005). Based on these research findings, it is hypothesised that WHI will have a significant relationship with ill health (Hypothesis 3).

Home-work interference

A somewhat unsettling aspect in the work-home interference literature is that the majority of studies focus on work-to-home interference, failing to consider the possibility that the home can influence the work environment as well. This trend occurs despite the fact that several studies demonstrated that home-to-work interaction also has important consequences for workers' health and well-being (e.g. Beauregard, 2006; Howard, Donofrio & Boles, 2004; Montgomery et al., 2005; Peeters et al., 2005; Ryan, Kriska, West & Sacco, 2001). For example, in a study investigating the health of postpartum women, Grice, Feda, McGovern, Alexander, McCaffrey and Ukestad (2007) found that high levels of WHI were associated with significantly lower mental health scores, while medium and high levels of HWI resulted in significantly lower mental health scores. It is therefore expected that HWI will have a significant relationship to ill health (Hypothesis 4).

A structural model of work/home demands, WHI/HWI and ill health

Frone et al. (1992a) formulated and tested two models of the antecedents and outcomes of work-family conflict and the interrelationship between work-family conflict and family-work conflict. While one model did not include a direct path between work-family conflict and depression, the other did. They found that the latter model had a better fit than the former. In this model, work-family conflict was found to act as an intervening pathway between work-related variables and individual well-being, while family-work conflict acts as an intervening pathway between family-related variables and individual well-being. They also found that the two forms of conflict were reciprocally related to one another. Several longitudinal studies have tested (parts of) the stressor WHIstrain model (Demerouti, Bakker & Bulters, 2004a; Frone et al., 1997; Grant-Vallone & Donaldson, 2001; Kelloway, Gottlieb & Barham, 1999; Kinnunen, Geurts & Mauno, 2004; Leiter & Durup, 1996; Peeters et al., 2004; Van Hooff et al., 2005). However, the study of Van der Heijden et al. (2008) is the only study that deals with the reciprocal relationships of work demands, WHI and general health. The findings of their study strongly support the idea of cross-lagged reciprocal relationships between work demands, WHI and general health over time. They also found that WHI plays an intervening role in the reciprocal relationship between work demands and health.

Based on these studies, the following model was developed (see Figure 1). The model shows that work demands and home demands influence ill health, either directly or indirectly, via WHI or HWI. The model simultaneously tests the effect of work demands and WHI, and home demands and HWI on ill health. This will ensure a better representation of the complex relationships between the variables that may exist in women's work and family lives.

 

RESEARCH DESIGN

Research approach

This study is quantitative in nature. A cross-sectional survey design was used to reach the research objectives.

Research method

Research procedure

Companies and hospitals in six different provinces (i.e. Free State, Gauteng, KwaZulu-Natal, the North-West Province, Eastern Cape and Western Cape) were approached and female employees were invited to participate in the study. After permission was gained from willing companies and hospitals, name lists with contact details were provided to the researchers. Questionnaires were electronically sent to female employees with email addresses, who were requested to send the electronic version of the questionnaire to two female colleagues/friends who worked at least five hours a day. A return email address was provided. Hard copies of the questionnaires were randomly distributed in the hospitals and to females without email addresses. Two additional hard copies with pre-stamped envelopes were provided, also with the request to send it to two female colleagues/friends. Each questionnaire was accompanied by a letter explaining the rationale of the study and clear instructions on how to complete the questionnaire.

Confidentiality and anonymity were emphasised. In total, 500 usable questionnaires were returned. Participants were also asked to indicate their occupation in the questionnaire.

Characteristics of the participants

For ease of interpretation, participants were classified into five groups, including females in management positions (24%), nurses (27.6%), administrative personnel (18.2%), females who do 'people work' of some kind, e.g. educators, academics, psychologists, teachers, and consultants (25.4%) and a diverse group of female workers, including hairdressers, beauticians, librarians, designers and caterers (4.8%). The majority of participants were married with children (42.8%). Of the total sample, 58.4% had a tertiary education. The majority of the females were White (48.6%) or Black (33.8%) and spoke Afrikaans (41.2%) and African languages (30.8%). With regard to their career phase, most of the participants (41.6%) were in their middle career phase (between the ages of 33 and 45).

Measures

Work demands

Work demands were measured using two scales, namely work pressure (five items, e.g. 'Do you have to work very fast when at work?'; Karasek, 1985) and work overload (four items, e.g. 'Are you asked to do an excessive amount of work when you are at work?'; Jackson & Rothmann, 2005). All items were scaled on a four-point scale, ranging from 1 (never) to 4 (always), with higher scores indicating higher levels on that particular dimension.

Home demands

Items were developed to conceptually mirror the subscales of the work-demands scale, including home pressure (three items, e.g. 'Do you have to work very fast when you have to complete tasks at home?') and home overload (four items, e.g. 'Do you have too much work to do at home?'). All items were scaled on a four-point scale, ranging from 1 (never) to 4 (always), with higher scores indicating higher levels on that particular dimension.

Negative WHI and negative HWI

The 'Survey Work-Home Interaction-Nijmegen' (SWING) (Geurts et al., 2005) was used to measure negative WHI and negative HWI. Negative WHI refers to a negative impact of the work situation on one's functioning at home (eight items, e.g. 'How often does it happen that your work schedule makes it difficult to fulfil domestic obligations?'), while negative HWI refers to a negative impact of the home situation on one's job performance (four items, e.g. 'How often does it happen that you have difficulty concentrating on your work because you are preoccupied with domestic matters?'). The SWING offers a four-response format varying from 0 (never) to 3 (always).

Ill health

Three indicators of ill health were used. Items were adapted from the General Health Questionnaire (GHQ-28; Goldberg & Williams, 1988) to measure physical ill health (three items, e.g. 'Have you recently been having headaches?'), anxiety (three items, e.g. 'Have you recently been feeling nervous or scared for no good reason?') and depressive complaints (three items, e.g. 'Have you recently been feeling that life is entirely hopeless?'). Items were rated on a four-point scale ranging from 1 (better than usual) to 4 (much worse than usual).

Statistical analysis

The statistical analyses were conducted with the SPSS program (SPSS, 2008) and the Amos program (Arbuckle, 2006). Structural equation modelling (SEM) was used to test a structural model of work/home demands, WHI/HWI and ill health. Maximum likelihood estimation methods were used with the covariance matrix of the scales as input for the analysis. The goodness-of-fit of the model was evaluated using absolute and relative indices. The χ2 goodness-of-fit statistic and the Root Mean Square Error of Approximation (RMSEA) were used as absolute goodness-of-fit indices. Acceptable fit of the model is indicated by non-significant χ2 values and RMSEA values smaller than or equal to 0.08 (Cudeck & Browne, 1993). The following goodness-of-fit indices were used as adjuncts to the χ2 statistics: a) χ2/df ratio; b) the Goodness-of-Fit Index (GFI); c) the Incremental Fit Index (IFI); d) the Tucker-Lewis Index (TLI); and e) the Comparative Fit Index (CFI).

 

RESULTS

Descriptive statistics

Table 1 shows the means, standard deviations, internal consistencies and correlation coefficients of the scales included in the analyses.

As indicated from the results in Table 1, the Cronbach alpha coefficients of all the measuring instruments were considered acceptable compared to the guideline of α > 0.70 (Nunnally & Bernstein, 1994). Both work demands were strongly and practically significantly related to negative WHI and statistically significantly related to physical ill health and depression. Work pressure was also statistically significantly related to anxiety, while work overload was practically significantly related to this dimension of ill health. Both home demands showed statistically significant relationships to negative HWI and all three dimensions of ill health. Both the work-home dimensions had statistically significant relationships to physical ill health and practically significant relationships to anxiety and depression.

Model testing

The structural model was tested for its goodness-of-fit to the co-variance matrix of the measured variables. All the latent factors were operationalised by exogenously observed variables. Work and home demands were each assessed by two observed variables, i.e. pressure and overload. The manifest indicators of the latent ill-health factor were physical ill health, anxiety and depression. For each of these dimensions, a latent variable was specified on which the corresponding scales were loaded, separating random measurement error from true score variance. However, for negative WHI and HWI, there was only one indicator (i.e. there was a one-to-one correspondence between the manifested variables and the underlying latent dimensions). An implication of this is that the correlations among these one-indicator latent variables and other latent variables may be biased because no distinction is made between random error variance and true score variance (Little, Cunningham, Shahar & Widaman, 2002). Bagozzi and Heatherton (1994) suggested the following procedure to overcome this problem: Firstly, a one-factor model was fitted for all items belonging to the three scales. Secondly, separate indicators for each scale were formed by selecting items based on their loadings, alternating items with high and low loadings. As a result, two item parcels were created for each dimension (WHI and HWI).

A model including the hypothesised relationships was tested in a path model. Errors were allowed to correlate between work and home demands and between WHI and HWI. Direct relationships were specified between:

1) work demands and ill health (H1a);

2) work demands and negative WHI (H1b);

3) home demands and ill health (H2a);

4) home demands and HWI (H2b);

5) negative WHI and ill health (H3); and

6) HWI and ill health (H4).

The results of the SEM analyses showed that the hypothesised or proposed model fits adequately to the data (χ2 = 114.90; 2/df = 3.19; GFI = 0.96; IFI = 0.96; TLI = 0.94; CFI = 0.96; and RMSEA = 0.07). However, inspection of the regression weights indicated that the coefficients of the path between work demands and ill health was not significant. The model was therefore re-specified with this path deleted (χ2 = 114.99; χ2/df = 3.11; GFI = 0.96; IFI = 0.96; TLI = 0.94; CFI = 0.96; and RMSEA = 0.07). All the other paths were highly significant (p < 0,01). Parameter estimates are shown in Figure 2. Also seen in Figure 2 is that work demands explained 47% of the variance in WHI, while home demands explained a much smaller 6%. Home demands, WHI and HWI explained 31% of the variance in ill health.

As the results in Figure 2 show, all relationships in the model were significant and in the expected direction, except for the path between work demands and ill health. These results support all the hypotheses, except Hypothesis 1a.

 

DISCUSSION

This study tested a structural model of how work and home demands are related to self-rated ill health of employed women through the process of WHI and HWI. This research provided an extension of previous studies on the stressor WHI strain relationship, by including both work and home demands and both directions of work-home interference.

The results revealed a set of direct and mediated relationships between work and home demands, WHI, HWI and self-reported ill health. All direct paths in the hypothesised structural equation model were significant, except for the path between work demands and ill health. This finding suggests that the direct relationship often found between work demands and ill health may possibly be better understood as an indirect relationship in which WHI is a crucial intervening pathway. Work demands may therefore not be directly associated with ill health, but rather exert its negative effects on health through a process of 'spill-over' of load effects, most probably accompanied by insufficient quantitative and qualitative recovery during non-working hours (Geurts et al., 2003). This is in contrast with the majority of previous studies (e.g. Link et al., 1993; Niedhammer et al., 1998; Van der Heijden et al., 2008; Warren et al., 2008), although it supports the findings of Geurts et al. (2003), who also found no direct relationship between workload and health complaints. The fact that WHI mediated work demands suggests that work overload and work pressure are not contextual in nature, have the ability to influence WHI and are more likely to be brought home. The same is true for home demands, which influence the individual's experience at work through negative load effects that spill over from the home domain. The mediating effect of WHI is also supported by previous literature, although most of these studies found a partial mediating effect (Janssen et al., 2004; Koekemoer & Mostert, 2006; Montgomery et al., 2003; Peeters et al., 2005).

The partial mediating effect of HWI means that high psychological home demands endanger the balance that employed women should have between work and home. When women are experiencing high work demands, they need recovery time at home to reduce fatigue and other stressful effects of high work demands. However, if they also have high overload and pressure at home, they will possibly experience fewer opportunities to manage home responsibilities and/or have insufficient leisure time to recover from demands faced at work. Therefore, when the time at home is used to deal with additional overload and pressure (instead of using the time to recover from negative load reactions that spilled over to the home domain), women do not fully recover from high effort investment at work (Geurts et al., 2003). As a result, they must then invest compensatory effort to perform adequately when confronted with new work demands. A combination of persisting (high) demands and insufficient recovery may result in the long run in negative load reactions that may become manifest and irreversible (Sluiter, 1999; Sluiter, Frings-Dresen, Van der Beek & Meijman, 2001), and seriously affect health (Sluiter et al., 2001; Van Hooff et al., 2005).

To summarise, previous studies have shown that the interference between work and home is related to psychological ill-being (Grant-Vallonen & Donaldson, 2001). Especially self-rated health has been shown to be associated with work-to-family conflicts (Emslie et al., 2004; Higgins et al., 2004) and family-towork conflicts (Higgins et al., 2004). This study confirms these findings, suggesting that work-to-home as well as home-to-work interference, in addition to work and home demands, are related to self-rated health. Given the fact that WHI and HWI mediate the relationship between work and home demands and ill health, it is important to ensure that women are enabled to balance their work and home demands. Women's health appears to be dependent on their capabilities to fine-tune their professional and private responsibilities. Therefore, their capabilities to cope with often-contradictory needs have strong implications for their levels of physical health, anxiety and depressive mood.

Limitations of the study

Firstly, while the cross-sectional design is well suited to testing the independent effects of work/home demands and WHI/HWI on ill health, longitudinal designs are needed to solve cause-andeffect issues and to disentangle the complex interplay between past experiences and psychological functioning. However, cross-sectional data can provide important initial tests of the causal hypotheses. A second limitation is that all data were collected using questionnaires. This opens up the possibility of response set consistencies. As self-reported measures were used for the predictor variables (work demands, home demands, WHI and HWI) and the outcome variable (ill health), this could potentially lead to inflated correlations due to common method variance, memory effects and similar processes (Podsakoff, MacKenzie, Lee & Podsakoff, 2003). Future research should also use stronger measures of health, such as employee sickness absence, validated scales of somatic complaints, or physiological (hormonal) indicators concerning effort and recovery (e.g. (nor) adrenaline, see Sluiter, 1999).

Recommendations

Most studies concerning the relationship between work demands and strain have focused on quantitative demands (e.g. workload). However, several factors have contributed to the restructuring of work of the last half century (see Cooper, Dewe & O'Driscoll, 2001) with the implication that the nature of work is changing in terms of demands. More jobs are now also including more mental and emotional effort rather than physical effort alone. Future research should assess demands by including a wider variety of quantitative, emotional and mental demands in the work and home domains (see Peeters et al., 2005).

The percentage variance in HWI explained by home demands was relatively small (6%). This indicates that other factors in the home environment should be examined. Such aspects could include family and household obligations, childcare, conflicts with family members, and non-work hassles (Bolger, DeLongis, Kessler & Wethington, 1989). Furthermore, demographic and personality variables should also be examined. This is deemed necessary because the links between work, family and ill health are complex and researchers need to specify multiple underlying pathways or processes by which WHI and HWI may lead to health impairment. This is important because the stress process is not invariant - both personality and environmental factors influence the relationships between stress and outcomes (see Parkes, 1994). Furthermore, personality characteristics may also moderate the effects of health problems on negative organisational outcomes such as turnover intention or sickness absenteeism. Consequently, future research needs to be conducted using personality frameworks such as the Five-Factor Model (Costa & McCrae, 1992) to increase the understanding of personality types that are more susceptible to health-related problems.

Although it seems that work and home influence each other in a negative way, previous research has recognised that it can also be beneficial for workers to combine work and family lives, and that it is equally important to study the positive interaction between work and home (e.g. Hochchild, 1997; Kirchmeyer, 1993). For example, Moen, Dempster-McClain and Williams (1992) found that fulfilling multiple roles, participating in volunteer work on an intermittent basis, and belonging to a club or organisation are positively related to various health measures. Grzywacz and Marks (2000) showed that positive spill-over was related to factors that facilitated development (e.g. decision latitude, family support) and that participation in multiple roles provides a greater number of opportunities and resources to the individual that can be used to promote growth and better functioning in other life domains. Positive WHI has also been linked to work engagement (Montgomery et al., 2003; Mostert, 2006; Mostert, Cronje & Pienaar, 2006). Future studies could improve the current model by including work and home resources and positive WHI/HWI.

From a practical point of view, the findings in this study show that the corporate world should be aware of the relationship between demands from and interference between work and home and the link with ill health. As such, organisations should monitor work demands, while at the same time considering home demands. It is important to provide sufficient resources at work to deal with work demands. For instance, previous research indicated that colleague support at an institutional level is a very important resource when it comes to situations of psychological stress (Kirpal, 2004). In addition, strategies for prevention and/or intervention of WHI could be based upon flexibility of weekly working hours, daily starting and finishing times, provision of flexible, out-of-hours childcare, flexible carer's leave and paid maternity and paternity leave (Bohle, 2002). Workplace flexibility is specifically believed to benefit both workers and the employing organisation. Given strong evidence linking indicators of WHI to ill health (Frone, 2003), flexibility has been viewed as a strategy for promoting employee health and well-being because it aids workers in integrating their work and family lives. Casey and Grzywacz (2008) also provide longitudinal evidence indicating that flexibility is associated with health or well-being over time.

The results of this study also indicated a relationship between home demands, HWI and ill health. Not only is the home side of the equation under-researched, it is also undervalued in terms of how it can affect the work role of individuals. Recently, Demerouti, Taris and Bakker (2007) showed in a longitudinal study that experiences in the home domain influence work performance via HWI and a lack of recovery at home. Their findings suggest that organisations should not only provide work-related training and support to employees, but also try to provide training and support for non-work-related demands (e.g. parental training, role reorientation for couples, possibilities for working at home, or childcare facilities). Indeed, previous studies have shown that the implementation of family-friendly policies may be beneficial for combining work and family responsibilities (e.g. Demerouti, 2006; Dikkers et al., 2007).

Finally, women themselves must invest in their own health and develop their time management skills. This will enable them to be able to buffer potential negative effects of increasing and enduring demands at work and home and to learn to balance work and family responsibilities. Given the important role of recovery after work (Demerouti et al., 2007; Sluiter et al., 2001; Van Hooff et al., 2005), it is important to consider the extent to which various activities contribute to recovery. Research by Sonnentag (2001) and Zijlstra and Rook (2003) showed that physical activity (e.g. sports, exercise) is most beneficial for recovery, while more passively oriented activities (e.g. watching television) seemed to have the least impact on recovery. Another important factor to consider in the recovery process is sleep. It is well recognised that sleep is an essential component of the recovery processes of mind and brain (Edell-Gustafsson, Kritz & Bogren, 2002; Totterdell, Spelten, Smith, Barton & Folkard, 1995). Women should therefore make sure to get sufficient sleep, in order to function optimally the following day.

 

AUTHOR'S NOTE

The material described in this article is based upon work supported by the National Research Foundation under reference number FA2005040700042.

 

REFERENCES

Allen, T.D., Herst, D.E., Bruck, C.S., & Sutton, M. (2000). Consequences associated with work-to-family conflict: A review and agenda for future research. Journal of Occupational Health Psychology, 5, 278-308.         [ Links ]

Arbuckle, J.L. (2006). Amos 7.0 User's Guide. Chicago: SPSS Inc.         [ Links ]

Bagozzi, R.P., & Heatherton, T.F. (1994). A general approach to representing multifaceted personality constructs: Application to state self-esteem. Structural Equation Modeling, 1, 35-67.         [ Links ]

Beauregard, T.A. (2006). Predicting interference between work and home. Journal of Managerial Psychology, 21, 244-264.         [ Links ]

Bohle, P. (2002). Work-life conflict: the issues and implications for OHS. In CCH Master OHS and Environment Guide 2003 (pp. 477-493). Adelaide: CCH Australia Ltd.         [ Links ]

Bolger, N., DeLongis, A., Kessler, R., & Wethington, E. (1989). The contagion of stress across multiple roles. Journal of Marriage and the Family, 51, 175-183.         [ Links ]

Borg, V., & Kristensen T.S. (2000). Social class and self-rated health: Can the gradient be explained by differences in life style or work environment? Social Science and Medicine, 51, 1019-1030.         [ Links ]

Britt, T.W., & Dawson, C.R. (2005). Predicting work-family conflict from workload, job attitudes, group attributes, and health: A longitudinal study. Military Psychology, 17(3), 203-227.         [ Links ]

Brusentsev, V. (2002). Cross-national variation in the labour market: Participation of married women in Australia, Canada and the United States of America. The Economic Record, 78(241), 224-231.         [ Links ]

Burger, R., & Woolard, I. (2005). The state of the labour market in South Africa after the first decade of democracy. CSSR Working Paper no. 133, Centre for Social Science Research. (Available from CSSR, Upper Campus, University of Cape Town, Private Bag, Rondebosch, 7701, Cape Town, South Africa).         [ Links ]

Casey, P.R., & Grzywacz, J.G. (2008). Employee health and well-being: The role of flexibility and work-family balance. The Psychologist-Manager Journal, 11, 31-47.         [ Links ]

Chandola, T., Martikainen, P., Bartley, M., Lahelma, E., Marmot, M., & Michikazy, S. (2004). Does conflict between family and work explain the effect of multiple roles on mental health? A comparative study of Finland, Japan and the UK. International Journal of Epidemiology, 33(4), 884-893.         [ Links ]

Cooper, C., Dewe, P.J., & O'Driscoll, M.P. (2001). Organizational stress: A review and critique of theory, research and applications. Thousand Oaks: Sage.         [ Links ]

Costa, P.T., & McCrae, R.R. (1992). Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEOFFI): professional manual. Odessa: Psychological Assessment Resources.         [ Links ]

Cudeck, R., & Browne, M.W. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. Scott Long (Eds.), Testing structural equation models (pp. 1-9). Newbury Park: Sage.         [ Links ]

Demerouti, E. (2006). Human resource policies for work personal life integration. In R. Burke & C. Cooper (Eds.), The human resources revolution: Why putting people first matters (pp. 147-169). Oxford: Elsevier.         [ Links ]

Demerouti, E., Bakker, A.B., Nachreiner, F., & Schaufeli, W.B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86, 499-512.         [ Links ]

Demerouti, E., Bakker, A.B., & Bulters, A.J. (2004a). The loss spiral of work pressure, work-home interference and exhaustion: Reciprocal relations in a three-wave study. Journal of Vocational Behavior, 64, 131-149.         [ Links ]

Demerouti, E., Geurts, S.A.E., & Kompier, M. (2004b). Positive and negative work-home interaction: Prevalence and correlates. Equal Opportunities International, 23, 6-35.         [ Links ]

Demerouti, E., Taris, T.W., & Bakker, A.B. (2007). Need for recovery, home-work interference and performance: Is lack of concentration the link? Journal of Vocational Behavior, 71, 204-220.         [ Links ]

Dikkers, J.S.E., Geurts, S.A.E., Den Dulk, L., Peper, B., Taris, T.W., & Kompier, M.A.J. (2007). Dimensions of work-home culture and their relations with the use of work-home arrangements and work-home interaction. Work & Stress, 21, 155-172.         [ Links ]

Doucet, A. (2000). There's a huge gulf between me as a male carer and woman. Gender, domestic responsibility and the community as an institutional arena. Community, Work and Family, 3(2), 163-184.         [ Links ]

Eby, L.T., Casper, W.J., Lockwood, A., Bordeaux, C., & Brinley, A. (2005). Work and family research in IO/OB: Content analysis and review of the literature (1980-2002). Journal of Vocational Behaviour, 66, 124-197.         [ Links ]

Edell-Gustafsson, U.M., Kritz, E.I., & Bogren, I.K. (2002). Self-reported sleep quality, strain and health in relation to perceived working conditions in females. Scandinavian Journal of Caring Science, 16(2), 179-187.         [ Links ]

Emslie, C., Hunt, K., & Macintyre, S. (2004). Gender, work-home conflict and morbidity amongst white-collar bank employees in the UK. International Journal of Behavioural Medicine, 11(3), 127-134.         [ Links ]

Frone, M.R. (2000). Work-family conflict and employee psychiatric disorders: The national comorbidity survey. Journal of Applied Psychology, 85(6), 888-895.         [ Links ]

Frone, M.R. (2003). Work-family balance. In J.C. Quick & L.E. Tetrick (Eds.), Handbook of Occupational and Organizational Psychology (pp. 143-162).         [ Links ]

Frone, M.R., Russell, M., & Cooper, M.L. (1992a). Antecedents and outcomes of work-family conflict: Testing a model of the work-family interface. Journal of Applied Psychology, 11, 65-78.         [ Links ]

Frone, M.R., Russell, M., & Cooper, M.L. (1992b). Prevalence of work-family conflict: Are work and family boundaries asymmetrically permeable? Journal of Organizational Behavior, 13, 723-729.         [ Links ]

Frone, M.R., Russell, M., & Cooper, M.L. (1997). Relation of work family conflict to health outcomes: A four-year longitudinal study of employed parents. Journal of Occupational and Organizational Psychology, 70, 325-335.         [ Links ]

Geurts, S.A.E., & Demerouti, E. (2003). Work/non-work interface: A review of theories and findings. In M. Schabracq, J. Winnubst & C.L. Cooper (Eds.), Handbook of Work and Health Psychology, (pp. 279-312). Chichester: Wiley.         [ Links ]

Geurts, S.A.E, Kompier, M.A.J., Roxburgh, S., & Houtman, I.L.D. (2003). Does work-home interference mediate the relationship between workload and well-being? Journal of Vocational Behavior, 63, 532-559.         [ Links ]

Geurts, S., Rutte, C., & Peeters, M. (1999). Antecedents and consequences of work home interference among medical residents. Social Science and Medicine, 48, 1135-1148.         [ Links ]

Geurts, S.A.E., Taris, T.W., Kompier, M.A.J., Dikkers, J.S.E., Van Hooff, M.L.M., & Kinnunen, U.M. (2005). Work-home interaction from a work psychological perspective: Development and validation of a new questionnaire, the SWING. Work & Stress, 19, 319-339.         [ Links ]

Goldberg, R.J., & Williams, P. (1988). A user's guide to the General Health Questionnaire. Windsor: NFER-Nelson.         [ Links ]

Grant-Vallone, E.J., & Donaldson, S.I. (2001). Consequences of work-family conflict on employee well-being over time. Work & Stress, 15(3), 214-226.         [ Links ]

Grice, M., Feda, D., McGovern, P., Alexander, B.H., McCaffrey, D., & Ukestad, L. (2007). Giving birth and returning to work: The impact of work-family conflict on women's health after childbirth. Annals of Epidemiology, 17(10), 791-798.         [ Links ]

Grzywacz, J.G., & Marks, N.F. (2000). Reconceptualizing the work-family interface: An ecological perspective on the correlates of positive and negative spillover between work and family. Journal of Occupational Health Psychology, 5, 111-126.         [ Links ]

Gutek, B.A., Searle, S., & Klepa, L. (1991). Rational versus gender role explanations for work-family conflict. Journal of Applied Psychology, 76, 560-568.         [ Links ]

Higgins, C., Duxbury, L., & Johnson, K. (2004). Exploring the link between work-life conflict and demands on Canada's health care system. Public Health Agency of Canada. Retrieved March 21, 2005, from http://www.phac-aspc.gc.ca/publicat/worktravail/report3/index.html        [ Links ]

Hochchild, A. (1997). The time bind. New York: Metropolitan.         [ Links ]

Howard, W.G., Donofrio, H.H., & Boles, J.S. (2004). Inter-domain work-family conflict and police work satisfaction. Policing: An International Journal of Police Strategies & Management, 27, 380-395.         [ Links ]

Jackson, L.T.B., & Rothmann, S. (2005). Work-related well-being of educators in a district of the North-West Province. Perspectives in Education, 23(3), 107-122.         [ Links ]

Janssen, P.M., Peeters, M.C.A., De Jonge, J., Houkes, I., & Tummers, G.E.R. (2004). Specific relationships between job demands, job resources and psychological outcomes and the mediating role of negative work-home interference. Journal of Vocational Behavior, 65, 411-429.         [ Links ]

JILPT. (2004). Labor situation in Japan and analysis 2004/2005. Tokyo: Japan Institute for Labour Policy and Training.         [ Links ]

Jones, F., & Fletcher, B. (1996). Job control and health. In M.J. Schabracq, J.A.M. Winnubst & C.L. Cooper (Eds.), Handbook of work and health psychology (pp. 33-50). Chichester: Wiley.         [ Links ]

Kahn, R.L., Wolfe, D.M., Quinn, R.P., Snoek, J.D., & Rosenthal, R.A. (1964). Organizational stress: Studies in role conflict and ambiguity. New York: Wiley.         [ Links ]

Karasek, R.A. (1985). Job content instrument: Questionnaire and user's guide. Los Angeles: University of Southern California.         [ Links ]

Kelloway, E.K., Gottlieb, B.H., & Barham, L. (1999). The source, nature and direction of work and family conflict: A longitudinal investigation. Journal of Occupational Health Psychology, 4, 337-346.         [ Links ]

Kinnunen, U., Geurts, S., & Mauno, S. (2004). Work-to-family conflict and its relationship with satisfaction and well-being: A one-year longitudinal study on gender differences. Work & Stress, 18, 1-22.         [ Links ]

Kirchmeyer, C. (1993). Nonwork-to-work spillover: A more balanced view of the experiences and coping of professional women and men. Sex Roles, 28, 531-552.         [ Links ]

Kirpal, S. (2004). Work identities of nurses: Between caring and efficiency demands. Career Development International, 9(3), 274-304.         [ Links ]

Koekemoer, F.E., & Mostert, K. (2006). Job characteristics, burnout and negative work-home interference in a nursing environment. South African Journal of Industrial Psychology, 32, 87-97.         [ Links ]

Leiter, M.P., & Durup, M.J. (1996). Work, home, and in-between: A longitudinal study of spillover. Journal of Applied Behavioral Science, 32, 29-47.         [ Links ]

Link, B.G., Lennon, M.C., & Dohrenwend, B.P. (1993). Socioeconomic status and depression: The role of occupations involving direction, control, and planning. American Journal of Sociology, 98, 1351-1387.         [ Links ]

Little, T.D., Cunningham, W.A., Shahar, G., & Widaman, K.F. (2002). To parcel or not to parcel: Exploring the question, weighing the merits. Structural Equation Modeling, 9, 151-173.         [ Links ]

Lund, T., & Borg, V. (1999). Work environment and self-rated health as predictors of remaining in work 5 years later among Danish employees 35-59 years of age. Experimental Aging Research, 25, 429-434.         [ Links ]

MacEwen, K.E., & Barling, J. (1994). Daily consequences of work interference with family and family interference with work. Work & Stress, 8, 244-254.         [ Links ]

Marais, C., Mostert, K., Geurts, S.A.E., & Taris, T.W. (2009). The work-family interface as a four-dimensional construct: Validation and translation of the Survey Work-Home Interaction-Nijmegen (SWING). South African Journal of Psychology, 39(2), 202-219.         [ Links ]

Meyer, C.S., & Mukerjee, S. (2007). Investigating dual labor market theory for women. Eastern Economic Journal, 33(3), 301-316.         [ Links ]

Moen, P., Dempster-McClain, D., & Williams, R.M. (1992). Successful aging: A life-course perspective on women's multiple roles and health. American Journal of Sociology, 97, 1612-1638.         [ Links ]

Montgomery, A.J., Peeters, M.C.W., Schaufeli, W.B., & Van Ouden, M. (2003). Work-home interference among newspaper managers: Its relationship with burnout and engagement. Anxiety, Stress, and Coping, 16, 195-211.         [ Links ]

Mostert, K. (2006). Work-home interaction as partial mediator between job resources and work engagement. Southern African Business Review, 10(1), 53-74.         [ Links ]

Mostert, K., Cronjé, S., & Pienaar, J. (2006). Job resources, work engagement and the mediating role of positive work-home interaction of police officers in the North West Province. Acta Criminologica, 19(3), 64-87.         [ Links ]

Mostert, K., & Oosthuizen, B. (2006). Job characteristics and coping strategies associated with negative and positive work home interference in a nursing environment. South African Journal of Economic and Management Sciences, 9(4), 429-443.         [ Links ]

Niedhammer, I., Goldberg, M., Leclerc, A., Bugel, I., & David, S. (1998). Psychosocial factors at work and subsequent depressive symptoms in the Gazel Cohort. Scandinavian Journal of Work Environment and Health, 24, 197-205.         [ Links ]

Noor, N.M. (1996). Some demographic, personality and role variables as correlates of women's well-being. Sex Roles, 34, 603-620.         [ Links ]

Noor, N.M. (2003). Work- and family-related variables, work family conflict and women's well-being: Some observations. Community, Work & Family, 6(3), 297-319.         [ Links ]

Nunnally, J.C., & Bernstein, I.H. (1994). Psychometric theory. (3rd edn). New York: McGraw-Hill.         [ Links ]

Parkes, K.R. (1994). Personality and coping as moderators of work stress processes: Models, methods and measures. Work & Stress, 8, 110-129.         [ Links ]

Peeters, M.C.W., Montgomery, A.J., Bakker, A.B., & Schaufeli, W.B. (2005). Balancing work and home: How job and home demands are related to burnout. International Journal of Stress Management, 12, 43-61.         [ Links ]

Podsakoff, P.M., MacKenzie, S.B., Lee, J.Y., & Podsakoff, N.P. (2003). Common method biases in behavioural research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88, 879-903.         [ Links ]

Republic of South Africa. (1998). Employment Equity Act, Act 55 of 1998. Pretoria: Government Printer.         [ Links ]

Ryan, A.M., Kriska, S.D., West, B.J., & Sacco, J.M. (2001). Anticipated work/family conflict and family member views: role in police recruiting. Policing: An International Journal of Police Strategies & Management, 24, 228-239.         [ Links ]

Sluiter, J.K. (1999). How about work demands, recovery, and health? Unpublished doctoral thesis.         [ Links ]

Sluiter, J.K., Frings-Dresen, M.H.W., Van der Beek, A.J., & Meijman, T.F. (2001). The relation between work-induced neuroendocrine reactivity and recovery, subjective need for recovery, and health status. Journal of Psychosomatic Research, 50, 29-37.         [ Links ]

Sonnentag, S. (2001). Work, recovery activities, and individual well-being: A diary study. Journal of Occupational Health Psychology, 6, 196-210.         [ Links ]

Sorrentino, C. (1990). The changing family in international perspective. Monthly Labor Review, 113, 41-58.         [ Links ]

SPSS. (2008). SPSS 16.0 for Windows. Chicago: SPSS Inc.         [ Links ]

Statistics South Africa. (2005). Labour force survey. Retrieved June 14, 2007, from http://www.statssa.gov.za        [ Links ]

Totterdell, P., Spelten, E., Smith, L., Barton, J. & Folkard, S. (1995). Recovery from work shifts: How long does it take? Journal of Applied Psychology, 80(1), 43-57.         [ Links ]

United States Department of Labor Women's Bureau. (1999). Labor Force Highlights. Washington, DC: Government Printing Office; 2000.         [ Links ]

Van Aarde, A., & Mostert, K. (2008). Work-home interaction of working females: What is the role of job and home characteristics? South African Journal of Industrial Psychology, 34(3), 1-10.         [ Links ]

Van der Heijden, B.I.J.M., Demerouti, E., Bakker, A.B., & The NEXT Study Group coordinated by Hasselhorn, H.M. (2008). Work-home interference among nurses: Reciprocal relationships with job demands and health. Journal of Advanced Nursing, 62, 572-584.         [ Links ]

Van der Westhuizen, C., Goga, S., & Oosthuizen, M. (2007). Women in the South African labour market: 1995-2005. DPRU Working Paper 07/118. Cape Town: Development Policy Research Unit.         [ Links ]

Van Hooff, M., Geurts, S.A.E., Taris, T.W., Kompier, M.A.J., Dikkers, J.S.E., Houtman, I.L.D., & Van den Heuvel, F. (2005). Disentangling the relationships between work-home interference and employee health: A longitudinal study among Dutch police officers. Scandinavian Journal of Work, Environment and Health, 31, 15-29.         [ Links ]

Van Hooff, M., Geurts, S.A.E., Kompier, M.A.J., & Taris, T.W. (2006). Work-home interference: How does it manifest itself from day to day? Work & Stress, 20, 145-162.         [ Links ]

Warren, J.R., Carayon, P., & Hoonakker, P. (2008). Changes in health between ages 54 and 65: The role of job characteristics and socioeconomic status. Research on Aging, 30(6), 672-700.         [ Links ]

Williams, K.J., & Alliger, G.M. (1994). Role stressors, mood spillover and perceptions of work-family conflict in employed parents. Academy of Management Journal, 37, 837-868.         [ Links ]

Windebank, J. (2001). Dual-earner couples in Britain and France: Gender divisions of domestic labour and parenting work in different welfare states. Work Employment and Society, 15(2), 269-290.         [ Links ]

Zijlstra, F.R.H., & Rook, J. (2003, May). The contribution of various types of activities to recovery. Paper presented at the 11th European Conference on Work and Organizational Psychology, Lisbon, Portugal.         [ Links ]

 

 

Correspondence to:
Karina Mostert
Postal address: North-West University, Potchefstroom
Private Bag X6001 (Internal Box 202), Potchefstroom, 2520
South Africa
e-mail: karina.mostert@nwu.ac.za

Received: 22 July 2009
Accepted: 08 June 2009
Published: 13 Aug. 2009

 

 

This article is available at: http://www.sajip.co.za
© 2009. The Authors. Licensee: OpenJournals Publishing. This work is licensed under the Creative Commons Attribution License.