| Literature DB >> 35874332 |
Yuqing Zhang1, Ya Gao1, Chengcheng Zhan2, Tianbao Liu1, Xueming Li1.
Abstract
The education level and social participation of contemporary Chinese women have reached their historical peak; work is fast becoming the dominant theme of their lives. However, influenced by traditional attitudes, women are still expected to undertake the main family care tasks, thus, facing dual constraints of family and work, which seriously affect their life happiness. Based on the theory of subjective well-being and feminist geography, this study used the questionnaire survey and in-depth interview results of professional females in Dalian High-tech Industrial Zone as basic data to explore the life satisfaction and emotional cognition in intra- and extra-household life of professional females (Professional females: In this study, they are the women who have received formal education and currently have full-time and steady job (including regular employees in the national systems and those who have signed labor contracts with labor units).). The following results were obtained: (1) Most professional females reported higher life satisfaction in intra- rather than extra-household life, and it varied with individual attributes, reflecting the internal differences among them. (2) The positive emotions of professional females came from the company of family and friends in intra-household life, and satisfaction with the working environment and treatment in extra-household life. (3) The negative emotions came from the pressure of "marriage," "birth," and other traditional concepts in intra-household life. In extra-household life, it came from the health problems caused by working stress, interpersonal problems and gender inequality in the workplace, and the anxiety of age and future career development. Therefore, this study committed to revealing the living status and subjective feelings of contemporary professional females in China, hoping to improve women's life quality and enhance their life happiness from a theoretical and realistic perspective.Entities:
Keywords: emotional cognition; extra-household life; intra-household life; life satisfaction; professional females
Year: 2022 PMID: 35874332 PMCID: PMC9296829 DOI: 10.3389/fpsyg.2022.904298
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1The model construction of SWB.
FIGURE 2Study area.
Comprehensive evaluation of life satisfaction of professional females.
| Category | Attribute | Variable | Number | Life satisfaction score | Primary source of emotional cognition | |
| Positive emotions | Negative emotions | |||||
| Personal attributes | Age | 19∼24 | 31 (11.65%) | 3.49 | Salary Boost | Financial Constraints |
| 25∼34 | 156 (58.65%) | 3.36 | Salary Boost | Lack of Leisure Activities | ||
| 35∼44 | 67 (25.19%) | 3.39 | Good Health | Family Stress | ||
| 45∼54 | 5 (1.88%) | 3.72 | Salary Boost | Family Stress | ||
| Over 55 | 7 (2.63%) | 3.83 | Good Health | Poor Health | ||
| Education degree | High school and below | 17 (6.39%) | 3.64 | Salary Boost | Financial Constraints | |
| Diploma or undergraduate | 210 (78.95%) | 3.38 | Salary Boost | Working Stress | ||
| Masters’ degree or above | 39 (14.66%) | 3.43 | Career Development | Working Stress | ||
| The intra- | The household registration | Local census register | 184 (69.17%) | 3.40 | Salary Boost | Poor Health |
| Non-local census register | 82 (30.83%) | 3.41 | Salary Boost | Financial Constraints | ||
| House property rights | Own house | 170 (63.91%) | 3.46 | Salary Boost | Poor Health | |
| Rental housing | 96 (30.09%) | 3.26 | Salary Boost | Financial Constraints | ||
| Vehicle ownership | None | 106 (39.85%) | 3.35 | Salary Boost | Poor Health | |
| 1 | 138 (51.88%) | 3.41 | Salary Boost | Poor Health | ||
| ≥ 2 | 22 (8.27%) | 3.64 | Salary Boost | Poor Health | ||
| Family organization | Single | 131 (49.25%) | 3.40 | Salary Boost | Financial Constraints | |
| Married without children | 40 (15.04%) | 3.45 | Good Health | Working Stress | ||
| Married with children | 95 (35.71%) | 3.38 | Salary Boost | Poor Health | ||
| The extra-household attributes | Career type | Civil Servants | 12 (4.51%) | 3.36 | Salary Boost | Working Stress |
| PI Staff Members | 20 (7.52%) | 3.47 | Salary Boost | Lack of Leisure Activities | ||
| SoE employee | 21 (7.89%) | 3.72 | Salary Boost | Working Stress | ||
| FE employee | 75 (28.20%) | 3.35 | Salary Boost | Working Stress | ||
| PE employee | 138 (51.88%) | 2.99 | Salary Boost | Working Stress | ||
| Income | ≤2,000 RMB | 6 (2.26%) | 3.26 | Salary Boost | Financial Constraints | |
| 2,001∼5,000 RMB | 113 (42.48%) | 3.17 | Salary Boost | Poor Health | ||
| 5,001∼10,000 RMB | 121 (45.49%) | 3.51 | Career Development | Poor Health | ||
| >10,000 RMB | 26 (9.77%) | 3.97 | Emotional Comfort | Lack of Leisure Activities | ||
| Working hours | <5 h | 63 (23.68%) | 3.42 | Salary Boost | Financial Constraints | |
| 5–8 h | 92 (34.59%) | 3.38 | Salary Boost | Financial Constraints | ||
| >8 h | 111 (41.73%) | 3.16 | Salary Boost | Working Stress | ||
| Working-Living distance | <1 km | 26 (9.77%) | 3.55 | Salary Boost | Working Stress | |
| 1–5 km | 106 (39.85%) | 3.48 | Salary Boost | Poor Health | ||
| 5–10 km | 59 (22.18%) | 3.31 | Salary Boost | Poor Health | ||
| >10 km | 29 (28.20%) | 3.31 | Salary Boost | Poor Health | ||
| Commuting hours | <15 min | 46 (17.29%) | 3.59 | Salary Boost | Financial Constraints | |
| 15–30 min | 76 (28.57%) | 3.53 | Salary Boost | Poor Health | ||
| 30–60 min | 111 (41.73%) | 3.30 | Salary Boost | Poor Health | ||
| >1 h | 33 (12.41%) | 3.20 | Salary Boost | Poor Health | ||
Basic information of the respondent.
| Name | Age | Family attributes | Career type | Workplace experiences (year) |
| Interview 1 | 35∼44 | Married without children | FE employee | 6 |
| Interview 2 | 35∼44 | Married without children | FE employee | 10 |
| Interview 3 | 19∼24 | Single | FE employee | 1 |
| Interview 4 | 19∼24 | Single | FE employee | 2 |
| Interview 5 | 35∼44 | Single | FE employee | 12 |
| Interview 6 | 35∼44 | Married with children | FE employee | 13 |
| Interview 7 | 25∼34 | Single | PI Staff Member | 2 |
| Interview 8 | 25∼34 | Single | PE employee | 5 |
| Interview 9 | 25∼34 | Single | PI Staff Member | 3 |
| Interview 10 | 19∼24 | Single | SoE employee | 2 |
| Interview 11 | 25∼34 | Married without children | PE employee | 4 |
| Interview 12 | 25∼34 | Single | SoE employee | 3 |
| Interview 13 | 25∼34 | Single | Civil servants | 3 |
| Interview 14 | 45∼54 | Married with children | PE employee | 19 |
| Interview 15 | 25∼34 | Single | PE employee | 3 |
| Interview 16 | 25∼34 | Single | PE employee | 7 |
| Interview 17 | 25∼34 | Married without children | FE employee | 5 |
FIGURE 3The life satisfaction score of professional females.
FIGURE 4Life satisfaction of professional females based on various attributes.
FIGURE 5The emotional cognition score of professional females.
FIGURE 6Emotional cognition of professional females based on various attributes. (A) The sources of positive emotions. (B) The sources of negative emotions.
FIGURE 7Spearman correlation values of five types of satisfaction. “***” Means significant at the 0.01 level; “**” means significant at the 0.05 level; “*” means significant at the 0.1 level.