| Literature DB >> 32848908 |
Eva Morawa1, Tilman Brand2, Nico Dragano3, Karl-Heinz Jöckel4, Susanne Moebus5, Yesim Erim1.
Abstract
OBJECTIVE: The aim of the present study was to investigate the degree of depressive symptoms and life satisfaction (LS) as well as the association between acculturation and depressive symptoms among a large sample of persons with Turkish migration background in Germany, taking into account gender- and migration-related differences.Entities:
Keywords: Turkish; depression; life satisfaction; mental health; migrants
Year: 2020 PMID: 32848908 PMCID: PMC7406783 DOI: 10.3389/fpsyt.2020.00715
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
Socio-demographic characteristics of female and male migrants of Turkish origin and the total sample.
| Variable | Women(n=201) | Men(n=127) | Total(N=328) |
|---|---|---|---|
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| M (SD) | 41.2 (11.0) | 42.1 (11.8) | 41.6 (11.3) |
| Range | 20 – 69 | 20 – 68 | 20 – 69 |
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| 20–35 | 70 (34.8) | 35 (27.6) | 105 (32.0) |
| 36–55 | 107 (53.2) | 77 (60.6) | 184 (56.1) |
| ≥56 | 24 (11.9) | 15 (11.8) | 39 (11.9) |
| No data | – | – | – |
|
| |||
| Yes | 156 (77.6) | 112 (88.2) | 268 (81.7) |
| No | 45 (22.4) | 15 (11.8) | 60 (18.3) |
| No data | – | – | – |
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| Single | 19 (9.5) | 20 (15.7) | 39 (11.9) |
| Married | 143 (71.1) | 98 (77.2) | 241 (73.5) |
| Separated/divorced | 32 (15.9) | 8 (6.3) | 40 (12.2) |
| Widowed | 5 (2.5) | 0 (0.0) | 5 (1.5) |
| No data | 2 (1.0) | 1 (0.8) | 3 (0.9) |
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| No degree | 8 (4.0) | 3 (2.4) | 11 (3.4) |
| Primary school | 71 (35.3) | 27 (21.3) | 98 (29.9) |
| Middle school | 43 (21.4) | 39 (30.7) | 82 (25.0) |
| Secondary/vocational school | 51 (25.4) | 55 (43.3) | 106 (32.3) |
| No data | 28 (13.9) | 3 (2.4) | 31 (9.5) |
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| Employed | 51 (25.4) | 61 (48.0) | 112 (34.1) |
| Unemployed (household) | 102 (50.7) | 20 (15.7) | 122 (37.2) |
| Job seeking | 19 (9.5) | 24 (18.9) | 43 (13.1) |
| Pensioner | 18 (9.0) | 17 (13.4) | 35 (10.7) |
| Other | 8 (4.0) | 5 (3.9) | 13 (4.0) |
| No Data | 3 (1.5) | – | 3 (0.9) |
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| <1,250€ | 44 (21.9) | 32 (25.2) | 76 (23.2) |
| 1,250–2,500€ | 87 (43.3) | 60 (47.2) | 147 (44.8) |
| >2,500€ | 31 (15.4) | 27 (21.3) | 58 (17.7) |
| No Data | 39 (19.4) | 8 (6.3) | 47 (14.3) |
Migration-related characteristics of female and male migrants of Turkish origin and the total sample.
| Variable | Women(n=201) | Men(n=127) | Total(N=328) |
|---|---|---|---|
|
| |||
| Yes | 36 (17.9) | 22 (17.3) | 58 (17.7) |
| No | 164 (81.6) | 105 (82.7) | 269 (82.0) |
| No data | 1 (0.5) | – | 1 (0.3) |
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| |||
| <5 | 6 (3.0) | 7 (5.5) | 13 (4.0) |
| 5–14 | 26 (12.9) | 17 (13.4) | 43 (13.1) |
| 15–24 | 50 (24.9) | 34 (26.8) | 84 (25.6) |
| 25–34 | 29 (14.4) | 21 (16.5) | 50 (15.2) |
| >=35 | 38 (18.9) | 20 (15.7) | 58 (17.7) |
| No data | 52 (25.9) | 28 (22.0) | 80 (24.4) |
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| <6 | 9 (4.5) | 2 (1.6) | 11 (3.4) |
| 6–12 | 14 (7.0) | 11 (8.7) | 25 (7.6) |
| 13–17 | 35 (17.4) | 21 (16.5) | 56 (17.1) |
| 18–25 | 64 (31.8) | 42 (33.1) | 106 (32.3) |
| 26–39 | 24 (11.9) | 22 (17.3) | 46 (14.0) |
| >=40 | 3 (1.5) | 1 (0.8) | 4 (1.2) |
| No Data | 52 (25.9) | 28 (22.0) | 80 (24.4) |
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| German | 30 (14.9) | 22 (17.3) | 52 (15.9) |
| Turkish | 161 (80.1) | 101 (79.5) | 262 (79.9) |
| Dual citizenship | 5 (2.5) | 2 (1.6) | 7 (2.1) |
| No Data | 5 (2.5) | 2 (1.6) | 7 (2.1) |
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| German as mother tongue | 11 (5.5) | 10 (7.9) | 21 (6.4) |
| Very good | 31 (15.4) | 17 (13.4) | 48 (14.6) |
| Good | 38 (18.9) | 29 (22.8) | 67 (20.4) |
| Moderate | 64 (31.8) | 48 (37.8) | 112 (34.1) |
| Little | 43 (21.4) | 16 (12.6) | 59 (18.0) |
| Bad | 7 (3.5) | 4 (3.1) | 11 (3.4) |
| No Data | 7 (3.5) | 3 (2.4) | 10 (3.0) |
Differences in degrees of depressive symptoms and life satisfaction among persons of Turkish origin by gender and migration generation (gender-stratified).
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|---|---|---|---|---|---|---|---|---|
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| 2.23 | 0.137 | 0.007 | 0.36 | 0.547 | 0.001 | ||
| Female | 7.81 (6.42) | 3.03 (0.81) | ||||||
| Male | 6.70 (6.41) | 3.09 (0.82) | ||||||
| Female | 7.56 (6.22)+ | 3.27 | 0.072 | 0.012 | 3.04 (0.82)+ | 0.99 | 0.322 | 0.004 |
| Male | 6.14 (6.23)+ | 3.14 (0.81)+ | ||||||
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| 3.57 | 0.060 | 0.018 | 8.58 | 0.004 | 0.043 | ||
| First | 8.24 (6.42) | 2.95 (0.79) | ||||||
| Second | 5.82 (6.82) | 3.41 (0.85) | ||||||
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| 5.75 | 0.018 | 0.046 | 8.71 | 0.004 | 0.066 | ||
| First | 7.50 (6.62) | 2.97 (0.85) | ||||||
| Second | 3.30 (7.25) | 3.63 (0.93) | ||||||
*Age-adjusted; #first migration generation = persons with Turkish migration background immigrated to Germany, second migration generation = persons with Turkish migration background born in Germany; M, mean; SD, standard deviation; η2, effect size; + jobseeking persons were excluded from the analysis.
Multiple linear regression analyses of depressive symptoms (PHQ-9) for female and male migrants of Turkish origin.
| Independent variables | Females (EV=8.9%) | Males (EV=17.2%) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Regression coefficient(95% CI) | Standard error | Beta | T | p | Regression coefficient(95% CI) | Standard error | Beta | T | p | |
| Constant | 3.789 (-1.910, 9.487) | 2.885 | 1.313 | 0.191 | 7.173 (-0.434 – 14.780) | 3.838 | 1.869 | 0.064 | ||
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| Integration | Ref. | Ref. | ||||||||
| Assimilation | 1.225 (-1.629, 4.079) | 1.445 | 0.087 | 0.848 | 0.398 | 0.417 (-2.761, 3.595) | 1.604 | 0.028 | 0.260 | 0.795 |
| Separation | 4.424 (1.680, 7.168) | 1.389 | 0.314 | 3.185 |
| 4.008 (0.704, 7.312) | 1.667 | 0.270 | 2.404 |
|
| Marginalization | 2.690 (-0.239, 5.618) | 1.483 | 0.174 | 1.814 | 0.072 | 2.570 (-0.763, 5.903) | 1.682 | 0.162 | 1.528 | 0.129 |
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| -0.015 (-0.116, 0.086) | 0.051 | -0.026 | -0.295 | 0.768 | -0.061 (-0.174, 0.052) | 0.057 | -0.110 | -1.066 | 0.289 |
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| 2.558 (0.256, 4.859) | 1.165 | 0.168 | 2.195 |
| 2.458 (-1.051, 5.968) | 1.771 | 0.122 | 1.388 | 0.168 |
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| -2.280 (-4.537, -0.022) | 1.143 | -0.164 | -1.995 |
| 0.010 (-2.375, 2.395) | 1.203 | 0.001 | 0.009 | 0.993 |
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| -0.761 (-3.086, 1.565) | 1.177 | -0.052 | -0.646 | 0.519 | -3.317 (-5.710, -0.924) | 1.207 | -0.255 | -2.748 |
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| -2.922 (-5.926, 0.081) | 1.521 | -0.177 | -1.922 | 0.056 | -2.401 (-6.447, 1.645) | 2.041 | -0.140 | -1.176 | 0.242 |
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| 1.718 (-0.663, 4,100) | 1.206 | 0.133 | 1.425 | 0.156 | -0.716 (-3.651, 2.219) | 1.481 | -0.055 | -0.484 | 0.630 |
EV, explanation of variance; Ref., Reference; Partnership: (yes vs. no); Education: dichotomized: below secondary/vocational education vs. secondary/vocational education; Employment status: dichotomized: unemployed/jobseeking/pensioner/other vs. employed; Generation of migration: first vs. second; German language proficiency: dichotomized: bad/little/moderate vs. good/very good/German as mother tongue; significant predictors are marked in bold.