| Literature DB >> 33962572 |
Mei-Huei Lien1, Sheng-Shiung Huang2, Hao-Jan Yang3,4.
Abstract
BACKGROUND: Immigrant women in Taiwan experience a variety of acculturative and marital problems that result in a mental-health problems. We examined the mediational effect of marital adjustment on the relationship between acculturation and depressive symptoms in immigrant women in Taiwan.Entities:
Keywords: Acculturation; Depressive symptoms; Immigrant women; Marital adjustment
Mesh:
Year: 2021 PMID: 33962572 PMCID: PMC8103576 DOI: 10.1186/s12905-021-01334-0
Source DB: PubMed Journal: BMC Womens Health ISSN: 1472-6874 Impact factor: 2.809
Sociodemographic distribution and mean scores for depressive symptoms (measured using the CES-D), stratified by the sociodemographic variables, of the immigrant women (N = 127)
| Variables | % | Mean | SD | |
|---|---|---|---|---|
| Marital statusa | ||||
| Married | 97 | 76.38 | 12.66 | 7.72 |
| Divorced | 18 | 14.17 | 23.56 | 14.70 |
| Widowed | 12 | 9.45 | 27.33 | 10.86 |
| Number of children | ||||
| 0 | 18 | 14.17 | 15.11 | 11.67 |
| 1 | 41 | 32.28 | 14.73 | 10.46 |
| 2 | 59 | 46.46 | 16.78 | 10.86 |
| 3+ | 9 | 7.09 | 13.90 | 8.75 |
| Age | ||||
| 25–29 | 17 | 13.39 | 13.76 | 10.14 |
| 30–34 | 48 | 37.80 | 13.75 | 8.95 |
| 35–39 | 34 | 26.77 | 17.18 | 11.47 |
| 40+ | 28 | 22.05 | 18.32 | 12.08 |
| Education | ||||
| Primary school or lower | 34 | 26.77 | 14.91 | 10.39 |
| Middle school | 39 | 30.71 | 16.46 | 10.80 |
| High school | 40 | 31.50 | 16.20 | 11.53 |
| College/university or above | 14 | 11.02 | 13.86 | 8.47 |
| Education of husband | ||||
| Primary school or lower | 24 | 18.90 | 20.17 | 12.78 |
| Middle school | 33 | 25.98 | 16.00 | 8.95 |
| High school | 46 | 36.22 | 14.39 | 10.48 |
| College/university or above | 24 | 18.90 | 13.21 | 9.86 |
| Personal monthly income (NTD) | ||||
| 0 | 16 | 12.60 | 15.69 | 12.10 |
| 1–14,999 | 22 | 17.32 | 16.73 | 8.18 |
| 15,000–29,999 | 72 | 56.69 | 15.86 | 10.99 |
| 30,000–49,999 | 13 | 10.24 | 14.85 | 11.59 |
| ≥ 50,000 | 4 | 3.15 | 9.25 | 8.62 |
| Husband’s monthly income (NTD) | ||||
| 0 | 16 | 12.60 | 22.06 | 11.21 |
| 1–14,999 | 5 | 3.94 | 24.40 | 16.27 |
| 15,000–29,999 | 49 | 38.58 | 14.71 | 9.23 |
| 30,000–49,999 | 45 | 35.43 | 14.40 | 10.65 |
| ≥ 50,000 | 12 | 9.45 | 12.25 | 9.02 |
| Job of immigrant women | ||||
| Public servant | 0 | 0.00 | – | – |
| Businesswoman | 16 | 12.60 | 12.81 | 9.70 |
| Agriculture | 7 | 5.51 | 12.71 | 7.95 |
| Labor | 43 | 33.86 | 16.56 | 10.34 |
| Service industry | 35 | 27.56 | 16.17 | 11.85 |
| Unemployed | 16 | 12.60 | 16.81 | 11.75 |
| Othersb | 10 | 7.87 | 15.00 | 9.58 |
| Job of husbands | ||||
| Public servant | 2 | 1.57 | 18.50 | 6.36 |
| Businessman | 17 | 13.39 | 12.35 | 10.54 |
| Agriculture | 11 | 8.66 | 12.18 | 7.49 |
| Labor | 52 | 40.94 | 15.73 | 9.63 |
| Service industry | 16 | 12.60 | 14.94 | 12.10 |
| Unemployed | 12 | 9.45 | 22.83 | 13.08 |
| Othersc | 17 | 13.39 | 16.50 | 11.70 |
| Employment status | ||||
| Full time | 93 | 73.23 | 15.51 | 10.17 |
| Part time | 16 | 12.60 | 17.44 | 12.56 |
| Unemployed | 18 | 14.17 | 15.81 | 12.04 |
| Employment status of husband | ||||
| Full time | 106 | 83.46 | 14.74 | 9.99 |
| Part time | 7 | 5.51 | 18.86 | 12.88 |
| Unemployed | 14 | 11.02 | 22.75 | 13.27 |
| Original nationality | ||||
| Vietnam | 93 | 73.23 | 15.98 | 10.61 |
| Thailand | 1 | 0.79 | 27.00 | – |
| Philippines | 2 | 1.57 | 19.00 | 14.14 |
| Mainland China | 25 | 19.69 | 14.08 | 11.41 |
| Indonesia | 6 | 4.72 | 14.67 | 7.79 |
| City of residence | ||||
| Taichung | 49 | 38.58 | 14.96 | 11.67 |
| Changhua | 75 | 59.06 | 15.37 | 9.18 |
| Nantou | 3 | 2.36 | 35.00 | 12.17 |
| Mandarin language proficiency | ||||
| Low | 73 | 57.48 | 17.01 | 11.25 |
| High | 54 | 42.52 | 13.87 | 9.51 |
| Years in Taiwan | ||||
| 0–4 | 15 | 11.81 | 10.80 | 6.62 |
| 5–9 | 43 | 33.86 | 14.72 | 9.35 |
| 10–14 | 61 | 48.03 | 16.80 | 11.43 |
| 15–20 | 8 | 6.30 | 21.38 | 13.93 |
CES-D center for epidemiologic studies-depression scale, SD standard deviation, NTD new Taiwan dollar (1 NTD = 0.033 USD at the time of the study)
aSignificantly associated with the CES-D score, as indicated by the generalized linear model, after the other variables in this table had been controlled for
bIncluding home OEM, translator, and international trade secretary
cIncluding mason, civil engineer, plumber, and electrician
Correlation coefficients between study variables
| Variable | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
|---|---|---|---|---|---|---|---|---|
| 1. Depressive symptoms | – | |||||||
| 2. Mandarin language proficiency | − 0.12 | – | ||||||
| 3. Years in Taiwan | 0.24** | − 0.02 | – | |||||
| 4. Marital adjustment | − 0.34*** | 0.16 | − 0.29*** | – | ||||
| 5. Marital status | 0.49*** | 0.01 | 0.32*** | − 0.41*** | – | |||
| 6. Women’s income | − 0.07 | 0.04 | 0.16 | 0.08 | 0.08 | – | ||
| 7. Education | − 0.01 | 0.22* | − 0.03 | 0.08 | 0.06 | − 0.02 | – | |
| 8. Husband’s income | − 0.26** | 0.16 | − 0.11 | 0.09 | − 0.18* | 0.14 | 0.17 | – |
| 9. Husband’s education | − 0.24** | 0.25** | − 0.08 | 0.26** | − 0.23* | 0.10 | 0.13 | 0.34*** |
Coefficients were calculated with Pearson correlation method or Spearman correlation method where necessary
*p < 0.05, **p < 0.01, ***p < 0.001
Total, direct, and indirect (mediated by marital adjustment) effect models of years in Taiwan on depressive symptoms
| Variables | Total effect model | Direct effect model | Indirect effect model | ||||||
|---|---|---|---|---|---|---|---|---|---|
| β | s.e. (β) | β | s.e. (β) | β | s.e. (β) | ||||
| Years in Taiwan [predictive variable] | 0.62* | 0.27 | 0.0225 | 0.40 | 0.28 | 0.1410 | – | – | – |
| Marital adjustment [mediator] | – | – | – | − 0.82* | 0.30 | 0.0072 | − 0.95* | 0.29 | 0.0013 |
| Constant and controlled variables | |||||||||
| Constant | 15.50 | 8.40 | 0.0675 | 31.22* | 10.00 | 0.0023 | 33.55* | 9.92 | 0.0010 |
| Age (years) | − 0.02 | 0.19 | 0.9302 | − 0.02 | 0.18 | 0.9322 | 0.08 | 0.17 | 0.6241 |
| Women’s income (NTD) | − 0.56 | 1.25 | 0.6236 | − 0.61 | 1.21 | 0.6164 | − 0.37 | 1.21 | 0.7582 |
| Husband’s income (NTD) | − 1.70 | 0.91 | 0.0641 | − 1.88* | 0.89 | 0.0370 | − 1.94* | 0.89 | 0.0314 |
| Education (years) | 0.90 | 1.06 | 0.3973 | 1.12 | 1.04 | 0.2829 | 1.16 | 1.04 | 0.2699 |
| Husband’s education (years) | − 1.69* | 0.84 | 0.0476 | − 1.12 | 0.84 | 0.1874 | − 1.01 | 0.85 | 0.2343 |
| Employment status (Ref. = full time) | 0.36 | 0.89 | 0.6850 | − 0.17 | 0.89 | 0.8454 | − 0.23 | 0.90 | 0.7938 |
| Original nationality (Ref. = Vietnam) | 0.06 | 0.46 | 0.8990 | 0.08 | 0.45 | 0.8640 | − 0.05 | 0.44 | 0.9067 |
*p < 0.05
Fig. 1Mediational effect of marital adjustment between years in Taiwan and depressive symptoms among immigrant women by using Sobel test. Path (a) modeled marital adjustment as a dependent variable and years in Taiwan as an independent variable (ßa and SEa are the regression coefficient and its standard error, respectively in the model); Path (b) modeled depressive symptoms as a dependent variable and marital adjustment as an independent variable (ßb and SEb are the regression coefficient and its standard error, respectively in the model); Path (c) modeled depressive symptoms as a dependent variable and years in Taiwan as an independent variable (ßc and SEc are the regression coefficient and its standard error, respectively in the model); Path (c’) is the model c added in the marital adjustment as a control variable (ßc’ and SEc’ are the regression coefficient and its standard error, respectively in the model). All models have controlled for age, personal income, husband’s income, education, husband’s education, employment status, and original nationality. *p < 0.05, **p < 0.01, ***p < 0.001