| Literature DB >> 28540157 |
Abstract
OBJECTIVES: This study aimed to identify the sex-based association between depression and the development of metabolic syndrome (Mets) among middle-aged and older Korean adults.Entities:
Keywords: depression; metabolic syndrome X; sex characteristics
Year: 2017 PMID: 28540157 PMCID: PMC5441435 DOI: 10.24171/j.phrp.2017.8.2.05
Source DB: PubMed Journal: Osong Public Health Res Perspect ISSN: 2210-9099
Characteristics of samples regarding metabolic syndrome (Mets), depression, and covariates related to the development of Mets
| Variable | Men (n = 1,938) | Women (n = 2,404) | |
|---|---|---|---|
| Independent variable | |||
| Depression | Yes | 88 (4.1) | 312 (11.7) |
| No | 1,850 (95.9) | 2,092 (88.3) | |
| Dependent variable | |||
| Metabolic syndrome | Yes | 704 (37.0) | 704 (25.9) |
| No | 1,234 (63.0) | 1,700 (74.1) | |
| Blood pressure | Yes | 1,035 (51.0) | 972 (36.9) |
| No | 903 (49.0) | 1,432 (63.1) | |
| Waist circumference | Yes | 525 (27.2) | 610 (23.3) |
| No | 1,413 (72.8) | 1,794 (76.7) | |
| High density lipoprotein | Yes | 500 (26.2) | 970 (38.3) |
| No | 1,438 (73.8) | 1,434 (61.7) | |
| Triglyceride | Yes | 875 (49.0) | 791 (30.1) |
| No | 1,063 (51.0) | 1,613 (69.9) | |
| Fasting blood glucose | Yes | 931 (48.1) | 744 (29.9) |
| No | 1,007 (51.9) | 1,660 (70.1) | |
| Covariates | |||
| Biological factors | |||
| Age (y) | 40–64 | 1,338 (81.9) | 1,915 (85.5) |
| ≥ 65 | 600 (18.1) | 489 (14.5) | |
| Obesity | Non-obesity | 722 (34.8) | 1,014 (44.1) |
| obesity | 1,216 (65.2) | 1,390 (55.9) | |
| Family history | Yes | 921 (52.4) | 1,310 (56.7) |
| No | 1,017 (47.6) | 1,094 (43.3) | |
| Menopause | Yes | - | 1,504 (56.2) |
| No | - | 900 (43.8) | |
| Social factors | |||
| Education level | Below elementary school | 407 (16.5) | 769 (27.6) |
| Middle school | 298 (14.2) | 340 (13.7) | |
| High school | 633 (35.9) | 842 (38.0) | |
| Above college | 600 (33.4) | 453 (20.7) | |
| Marital status | Married | 1,871 (95.5) | 2,369 (98.6) |
| Single | 67 (4.5) | 35 (1.4) | |
| Family income | Low | 355 (13.9) | 455 (16.7) |
| Mid | 999 (53.8) | 1,269 (53.1) | |
| High | 584 (32.3) | 680 (30.2) | |
| Individual health-related behavioral factors | |||
| Smoking | Never smoked | 291 (14.9) | 2,176 (89.8) |
| At the past, not in current | 880 (41.4) | 96 (4.3) | |
| Occasionally in current | 76 (4.3) | 32 (1.5) | |
| Daily in current | 691 (39.4) | 100 (4.4) | |
| Heavy alcohol consumption | Yes | 483 (29.6) | 80 (3.6) |
| No | 1,455 (70.4) | 2,324 (96.4) | |
| Physical activity | Yes | 563 (29.4) | 709 (29.4) |
| No | 1,375 (70.6) | 1,695 (70.6) | |
| Eating out | > 1 times/day | 615 (36.7) | 240 (10.6) |
| 1–6 times/week | 810 (41.8) | 1,188 (50.7) | |
| 1–3 times/month | 371 (16.2) | 736 (29.9) | |
| < 1 times/month | 142 (5.3) | 240 (8.8) | |
| Antidepressant medication | Yes | 30 (35.4) | 102 (30.7) |
| No | 58 (64.6) | 210 (69.3) | |
Values are presented as underweighted number (weighted percentage).
Men=88, women=312.
Sex-based difference in prevalence of depression and metabolic syndrome (component)
| Outcome variable | Category | Men (n = 1,938) | Women (n = 2,404) | χ2 | |
|---|---|---|---|---|---|
| Metabolic syndrome | Yes | 704 (37.0) | 704 (25.9) | 62.680 | < 0.001 |
| No | 1,234 (63.0) | 1,700 (74.1) | |||
| Blood pressure | Yes | 1,035 (51.0) | 972 (36.9) | 88.277 | < 0.001 |
| No | 903 (49.0) | 1,432 (63.1) | |||
| Waist circumference | Yes | 525 (27.2) | 610 (23.3) | 8.808 | 0.012 |
| No | 1,413 (72.8) | 1,794 (76.7) | |||
| High density lipoprotein | Yes | 500 (26.2) | 970 (38.3) | 71.956 | < 0.001 |
| No | 1,438 (73.8) | 1,434 (61.7) | |||
| Triglyceride | Yes | 875 (49.0) | 791 (30.1) | 161.496 | < 0.001 |
| No | 1,063 (51.0) | 1,613 (69.9) | |||
| Fasting blood glucose | Yes | 931 (48.1) | 744 (29.9) | 150.872 | < 0.001 |
| No | 1,007 (51.9) | 1,660 (70.1) | |||
| Depression | Yes | 88 (4.1) | 312 (11.7) | 86.197 | < 0.001 |
| No | 1,850 (95.9) | 2,092 (88.3) |
Values are presented as underweighted number (weighted percentage).
Sex-based association between depression and the development of metabolic syndrome (component) before covariate adjustment
| Outcome variable | Depression | ||||||
|---|---|---|---|---|---|---|---|
|
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| Men | Women | ||||||
|
|
| ||||||
| OR | 95% CI | OR | 95% CI | ||||
| Metabolic syndrome (Ref. No) | Yes | 1.162 | 0.653–2.068 | 0.608 | 1.586 | 1.152–2.183 | 0.005 |
|
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| Blood pressure (Ref. No) | Yes | 1.166 | 0.674–2.018 | 0.581 | 1.462 | 1.102–1.940 | 0.008 |
|
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| Waist circumference (Ref. No) | Yes | 1.008 | 0.546–1.862 | 0.979 | 1.865 | 1.345–2.587 | < 0.001 |
|
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| High density lipoprotein (Ref. No) | Yes | 0.929 | 0.498–1.731 | 0.815 | 1.283 | 0.955–1.726 | 0.098 |
|
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| Triglyceride (Ref. No) | Yes | 1.679 | 1.001–2.818 | 0.050 | 1.856 | 1.366–2.522 | < 0.001 |
|
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| Fasting blood glucose (Ref. No) | Yes | 0.906 | 0.521–1.574 | 0.725 | 1.260 | 0.923–1.720 | 0.145 |
OR, odds ratio; CI, confidence interval; Ref., reference.
Sex-based association between depression and the development of metabolic syndrome (component) after covariate adjustment
| Outcome variable | Depression | ||||||
|---|---|---|---|---|---|---|---|
|
| |||||||
| Men | Women | ||||||
|
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| AOR | 95% CI | AOR | 95% CI | ||||
| Metabolic syndrome (Ref. No) | Yes | 1.227a | 0.660–2.280 | 0.517 | 1.253g | 0.880–1.785 | 0.210 |
|
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| Blood pressure (Ref. No) | Yes | 1.186b | 0.681–2.068 | 0.546 | 1.142g | 0.835–1.562 | 0.407 |
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| Waist circumference (Ref. No) | Yes | 1.039c | 0.512–2.105 | 0.916 | 1.532h | 1.046–2.245 | 0.029 |
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| High density lipoprotein (Ref. No) | Yes | 0.923d | 0.482–1.765 | 0.808 | 1.139g | 0.843–1.540 | 0.395 |
|
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| Triglyceride (Ref. No) | Yes | 1.488e | 0.779–2.840 | 0.228 | 1.511h | 1.029–2.219 | 0.035 |
|
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| Fasting blood glucose (Ref. No) | Yes | 0.861f | 0.483–1.533 | 0.610 | 1.061g | 0.766–1.470 | 0.720 |
AOR, adjusted odds ratio; CI, confidence interval; Ref., reference.
Adjusted for asmoking, heavy alcohol consumption, obesity; bage, family income, smoking, heavy alcohol consumption, family history, obesity; cheavy alcohol consumption, physical activity, obesity; deducation level, obesity; eage, education level, smoking, heavy alcohol consumption, family history, eating out, obesity, antidepressant medication; feducation level, heavy alcohol consumption, obesity; gage, education level, family income, eating out, obesity, menopause; heducation level, family income, heavy alcohol consumption, eating out, obesity, menopause, antidepressant medication.