| Literature DB >> 35310229 |
Xin Liu1, Shuying Bai1.
Abstract
With the development of rationalism, although the concept of filial piety is still an important factor affecting family relations, its rules have changed. Based on the resource theory and by measuring family power via the role played in family decision-making (FDM), this study explored the mediating role of filial piety norms between elderly's family resource contributions and family power in intergenerational cohabitation families in Mengzhou city, China. Using a stratified sampling method, 1,200 elderly people were recruited for data collection. Multiple linear regression analysis was used for testing. The results show that (1) the elderly still have some FDM in Chinese intergenerational cohabitation families, and the family power of elderly men is still higher than that of elderly women, which indicate that the influence of traditional patriarchal norms still exists in the family. (2) Filial piety culture mediates between the elderly's relative economic income (relative to their adult children) and their family power and also mediates the relationship of the elderly's relative educational level (relative to their adult children) and their family power. It shows that the resources of the elderly relative to their children affect the filial piety of their adult children and then affect the FDM of the elderly. The study is theoretically and practically meaningful.Entities:
Keywords: family decision-making; filial piety cultural; intergenerational cohabitation family; relative economic income; relative education; the elderly
Year: 2022 PMID: 35310229 PMCID: PMC8929412 DOI: 10.3389/fpsyg.2022.829678
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Theoretical model.
Sampling distribution.
| Unit name | Population over 60 years old | Sample size |
| DD subdistrict | 7872 | 120 |
| HC subdistrict | 9685 | 147 |
| HY1 subdistrict | 3811 | 58 |
| HY2 subdistrict | 6392 | 97 |
| The town of HG | 7385 | 112 |
| The town of HZ | 8577 | 130 |
| The town of CB | 7645 | 116 |
| The town of GD | 6539 | 99 |
| The town of ZH | 8618 | 131 |
| The town of XG | 7084 | 108 |
| The countryside of HS | 5397 | 82 |
| The city of M (total) | 79005 | 1200 |
Validity and reliability assessment of FDM.
| Variables | Measurement Items | Factor Loadings | AVE | CR | Cronbach’s alpha |
| FDM | Daily expenditure | 0.845 | 0.585 | 0.908 | 0.880 |
| Life insurance purchase | 0.727 | ||||
| Investment or loan | 0.830 | ||||
| Housing choice | 0.811 | ||||
| Medical treatment | 0.763 | ||||
| Adult children’s career choice | 0.670 | ||||
| Grandchildren’s living arrangements | 0.691 |
AVE, average variance extracted; CR, composite reliability.
The basic characteristics of each variable.
| Variables | Frequency (Relative frequency) | Mean | ||||
| 1 | 2 | 3 | 4 | 5 | ||
|
| ||||||
| Daily expenditure | 65 (6.4%) | 335 (32.8%) | 126 (12.3%) | 282 (27.6%) | 213 (20.9%) | 3.24 |
| Life insurance purchase | 77 (7.5%) | 212 (20.8%) | 446 (43.7%) | 178 (17.4%) | 108 (10.6%) | 3.03 |
| Investment or loan | 334 (32.7%) | 208 (20.4%) | 337 (33%) | 78 (7.6%) | 64 (6.3%) | 2.34 |
| Housing choice | 109 (10.7%) | 194 (19%) | 485 (47.5%) | 142 (13.9%) | 91 (8.9%) | 2.91 |
| Medical treatment | 66 (6.5%) | 156 (15.3%) | 510 (50.0%) | 158 (15.5%) | 131 (12.8%) | 3.13 |
| Adult children’s career choice | 376 (36.8%) | 313 (30.7%) | 253 (24.8%) | 57 (5.6%) | 22 (2.2%) | 2.06 |
| Grandchildren’s living arrangements | 287 (28.1%) | 337 (33.0%) | 271 (26.5%) | 83 (8.1%) | 43 (4.2%) | 2.27 |
|
| ||||||
| RIL | 532 (52.1%) | 252 (24.7%) | 150 (14.7%) | 68 (6.7%) | 18 (1.8%) | 1.81 |
| REL | 70 (6.9%) | 542 (53.1%) | 302 (29.6%) | 106 (10.4%) | 1 (0.1%) | 2.44 |
|
| ||||||
| RAC | 18 (1.8%) | 117 (11.5%) | 323 (31.6%) | 349 (34.2%) | 214 (21.0%) | 3.53 |
The correlation matrix between variables.
| Variables | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| (1) ADL | 1 | −0.332 | –0.058 | 0.136 | 0.223 | –0.046 | 0.174 | 0.054 |
| (2) Age | −0.332 | 1 | 0.066 | 0.018 | −0.315 | –0.037 | −0.149 | –0.030 |
| (3) Male(female) | –0.058 | 0.066 | 1 | 0.103 | 0.062 | 0.170 | 0.090 | 0.091 |
| (4) City(countryside) | 0.136 | 0.018 | 0.103 | 1 | 0.073 | 0.056 | 0.348 | 0.294 |
| (5) FDM | 0.223 | −0.315 | 0.062 | 0.073 | 1 | 0.220 | 0.398 | 0.250 |
| (6) REL | –0.046 | –0.037 | 0.170 | 0.056 | 0.220 | 1 | 0.172 | 0.135 |
| (7) RIL | 0.174 | −0.149 | 0.090 | 0.348 | 0.398 | 0.172 | 1 | 0.214 |
| (8) RAC | 0.054 | –0.030 | 0.091 | 0.294 | 0.250 | 0.135 | 0.214 | 1 |
*p < 0.05, **p < 0.01, ***p < 0.001.
Mediation regression models.
| Variable | FDM | RAC | ||||||
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | Model 7 | Model 8 | |
| ADL | 0.128 | 0.108 | 0.095 | 0.096 | 0.142 | 0.139 | –0.005 | 0.013 |
| City(countryside) | 0.052 | –0.069 | –0.069 | −0.117 | 0.041 | –0.018 | 0.247 | 0.281 |
| Age | −0.279 | −0.224 | −0.231 | −0.227 | −0.264 | −0.258 | –0.022 | –0.030 |
| Male(female) | 0.083 | 0.033 | 0.057 | 0.046 | 0.048 | 0.039 | 0.056 | 0.046 |
| RIL | 0.340 | 0.366 | 0.343 | 0.121 | ||||
| REL | 0.157 | 0.206 | 0.183 | 0.110 | ||||
| RAC | 0.194 | 0.211 | ||||||
| Adjusted | 0.122 | 0.257 | 0.235 | 0.268 | 0.162 | 0.202 | 0.100 | 0.099 |
| F | 36.363 | 59.870 | 63.590 | 63.260 | 40.494 | 43.951 | 23.556 | 23.399 |
*p < 0.05, **p < 0.01, ***p < 0.001.