| Literature DB >> 33996993 |
Emma Hagqvist1, Anna Nyberg1,2,3, Constanze Leineweber1.
Abstract
Enrichment is a phenomenon described as the synergistic and beneficial effects of participating in both work and private life. Far too few studies have acknowledged the role of gender in enrichment. By applying a gender theoretical approach, this article has two aims; first, we aim to study the role of gender in enrichment by examining the factorial structure of enrichment in men and women; secondly, we aim to study the relationship between enrichment and work and private life factors in an approximately representative sample of the Swedish working population. A multigroup confirmatory factor analysis with measurement in variance was performed and this resulted in a two-factor solution for enrichment for both men and women, representing the two directions of enrichment: work-to-life enrichment (WLE) and life-to-work enrichment (LWE). Factor loadings differ across genders, indicating that men and women construct and value items of enrichment differently. Next, linear mixed models were used to answer the second aim. Results show that gendered cultural norms in work and private life manifest in the relationship between factors in the work and home sphere and enrichment. Factors in work and private life with more or less masculine or feminine epithets relate differently to WLE and LWE for men and women. The main conclusion is that masculine and feminine norms are embodied in the values and experiences of enrichment and factors related to enrichment.Entities:
Keywords: Sweden; enrichment; factor structure; gender; theoretical development; working population
Year: 2021 PMID: 33996993 PMCID: PMC8116733 DOI: 10.3389/fsoc.2021.669789
Source DB: PubMed Journal: Front Sociol ISSN: 2297-7775
Figure 1Factor loading/correlations for a two-factor model of enrichment for men.
Figure 2Factor loading/correlations for a two-factor model of enrichment for women.
Linear mixed model for men and women separately for the likelihood of reporting work-life enrichment (WLE).
| Full-time contract | −0.068 | 0.042 | −0.012 | 0.025 |
| Bayesian information criterion (BIC) | 11,132 | 15,529 | ||
| <35 h | 0.056 | 0.042 | 0.021 | 0.039 |
| 36–45 h | −0.105 | 0.031 | −0.022 | 0.036 |
| >45 | Ref | Ref | ||
| BIC | 12,200 | 16,897 | ||
| Manager | 0.175 | 0.030 | 0.185 | 0.033 |
| BIC | 11,809 | 16,448 | ||
| Supervisor | 0.102 | 0.027 | 0.128 | 0.026 |
| BIC | 11,828 | 16,454 | ||
| Public administration | Ref | Ref | ||
| Education | −0.011 | 0.065 | −0.037 | 0.042 |
| Health and social care | 0.010 | 0.065 | −0.024 | 0.039 |
| Labor-intensive services | −0.002 | 0.054 | 0.016 | 0.044 |
| Knowledge-intensive services | −0.014 | 0.053 | 0.069 | 0.048 |
| Machinery operations | −0.018 | 0.053 | 0.062 | 0.068 |
| Goods and energy production | −0.139 | 0.051 | −0.203 | 0.054 |
| BIC | 12,236 | 17,053 | ||
| 0 h | −0.031 | 0.090 | −0.699 | 0.337 |
| 1–5 h | −0.002 | 0.046 | 0.041 | 0.030 |
| 6–10 h | −0.002 | 0.047 | 0.026 | 0.028 |
| 11 h−15 h | Ref | Ref | ||
| BIC | 12,330 | 17,118 | ||
| Children at home | −0.008 | 0.025 | −0.002 | 0.022 |
| BIC | 12,221 | 17,030 | ||
| Living with a partner | 0.113 | 0.032 | 0.007 | 0.026 |
| BIC | 12,309 | 17,157 | ||
| Low | −0.472 | 0.030 | −0.384 | 0.027 |
| Mid | −0.208 | 0.030 | −0.210 | 0.028 |
| High | Ref | Ref | ||
| BIC | 11,797 | 16,545 | ||
Sig > 0.05.
Linear mixed model for men and women separately for the likelihood of reporting life-work enrichment (LWE).
| Full-time contract | 0.032 | 0.042 | 0.093 | 0.024 |
| BIC | 11,160 | 14,946 | ||
| <35 h | −0.067 | 0.043 | −0.053 | 0.037 |
| 36–45 h | −0.061 | 0.031 | 0.013 | 0.034 |
| >45 | Ref | Ref | ||
| BIC | 12,252 | 16,314 | ||
| Manager | 0.140 | 0.031 | 0.140 | 0.032 |
| BIC | 11,920 | 15,897 | ||
| Supervisor | 0.119 | 0.026 | 0.119 | 0.025 |
| BIC | 11,922 | 15,494 | ||
| Public administration | Ref | Ref | ||
| Education | −0.047 | 0.065 | 0.076 | 0.040 |
| Health and social care | −0.029 | 0.066 | 0.010 | 0.038 |
| Labor-intensive services | −0.025 | 0.054 | −0.035 | 0.038 |
| Knowledge-intensive services | −0.048 | 0.053 | −0.007 | 0.042 |
| Machinery operations | −0.094 | 0.053 | −0.085 | 0.065 |
| Goods and energy production | −0132 | 0.052 | −0.064 | 0.051 |
| BIC | 12,343 | 16,501 | ||
| 0 h | −0.147 | 0.090 | −0.530 | 0.322 |
| 1–5 h | −0.052 | 0.046 | 0.037 | 0.028 |
| 6–10 h | −0.002 | 0.048 | 0.051 | 0.027 |
| 11–15 h | Ref | Ref | ||
| BIC | 12,386 | 16,511 | ||
| Children at home | 0.063 | 0.025 | −0.027 | 0.021 |
| BIC | 12,290 | 16,433 | ||
| Living with a partner | 0.410 | 0.031 | 0.230 | 0.025 |
| BIC | 12,224 | 16,493 | ||
| Low | −0.339 | 0.031 | −0.362 | 0.026 |
| Mid | −0.119 | 0.031 | −0.161 | 0.027 |
| High | Ref | Ref | ||
| BIC | 11,965 | 16,025 | ||
Sig > 0.05;
sig = 0.056.
The interaction between industry and work position, respectively, and employee responsibility for men and women in work-life enrichment (WLE) and life-work enrichment (LWE).
| Public administration | Ref | Ref | Ref | Ref | ||||
| Education | −0.145 | 0.176 | 0.159 | 0.128 | 0.097 | 0.180 | 0.085 | 0.123 |
| Health and social care | −0.046 | 0.180 | 0.192 | 0.114 | 0.105 | 0.183 | 0.121 | 0.110 |
| Labor-intensive services | −0.090 | 0.129 | 0.149 | 0.114 | −0.016 | 0.131 | 0.245 | 0.109 |
| Knowledge-intensive services | −0.083 | 0.127 | 0.011 | 0.124 | −0.006 | 0.129 | −0.060 | 0.0119 |
| Machinery operations | −0.082 | 0.129 | 0.094 | 0.187 | 0.054 | 0.131 | 0.236 | 0.179 |
| Goods and energy production | −0.213 | 0.125 | −0.087 | 0.147 | −0.061 | 0.127 | 0.020 | 0.141 |
| BIC | 11,716 | 16,300 | 11,878 | 15,766 | ||||
| Public administration | Ref | Ref | Ref | Ref | ||||
| Education | −0.145 | 0.145 | 0.150 | 0.097 | 0.070 | 0.148 | −0.001 | 0.094 |
| Health and social care | −0.132 | 0.139 | 0.271 | 0.089 | 0.114 | 0.142 | 0.107 | 0.086 |
| Labor-intensive services | −0.125 | 0.112 | 0.193 | 0.098 | −0.027 | 0.0114 | 0.084 | 0.094 |
| Knowledge-intensive services | −0.110 | 0.108 | 0.125 | 0.105 | −0.033 | 0.110 | −0.052 | 0.101 |
| Machinery operations | −0.080 | 0.110 | 0.230 | 0.159 | 0.018 | 0.112 | 0.071 | 0.153 |
| Goods and energy production | −0.184 | 0.106 | 0.146 | 0.245 | −0.028 | 0.108 | −0.026 | 0.121 |
| BIC | 11,732 | 16,302 | 11,877 | 15,769 | ||||
Sig > 0.05.