From: How does unemployment affect self-assessed health? A systematic review focusing on subgroup effects
Characteristic (n = 41 articles) | n | % | ||||
---|---|---|---|---|---|---|
Continent of study | ||||||
Asia (China) | 1 | 2.4 | ||||
Australia | 3 | 7.3 | ||||
Europea | 33 | 80 | ||||
North Americab | 3 | 7.3 | ||||
South America (Brazil) | 1 | 2.4 | ||||
Study design | ||||||
Cross-sectional | 24 | 59 | ||||
Longitudinal | 17 | 41 | ||||
Health measure c | ||||||
Self-rated health | 19 | 46 | ||||
General Health Questionnaire | 9 | 22 | ||||
Depression scales | 7 | 17 | ||||
Other health scalesd | 20 | 49 | ||||
Stratified analysis | Part of analysis | |||||
Factors | n | % | n | % | ||
Gendere | 38 | 93 | 25 | 66 | 19 | 50 |
Agef | 37 | 90 | 11 | 30 | 31 | 84 |
Education level | 30 | 73 | 5 | 17 | 28 | 93 |
Marital status | 23 | 56 | 2 | 8.7 | 22 | 96 |
Household income | 13 | 32 | 2 | 17 | 12 | 92 |
Geographic location | 11 | 27 | 8 | 73 | 7 | 64 |
Social network/social support | 10 | 24 | 4 | 40 | 8 | 80 |
Children at home | 8 | 20 | 2 | 25 | 7 | 87 |
Cash margin/financial strain | 8 | 20 | 2 | 25 | 6 | 75 |
Health aspectsg | 8 | 20 | 1 | 12 | 8 | 100 |
Socio-economic status | 8 | 20 | 4 | 50 | 5 | 62 |
Living conditions and poverty | 7 | 17 | 1 | 14 | 7 | 100 |
Ethnicity | 6 | 15 | 2 | 33 | 6 | 100 |
Smoking | 6 | 15 | - | 0 | 6 | 100 |
High alcoholic intake | 5 | 12 | 1 | 0 | 5 | 100 |
Reason for unemployment | 4 | 10 | 4 | 100 | - | 0 |
Local/regional unemployment rates | 3 | 7.3 | 1 | 33 | 3 | 100 |
Overweight | 3 | 7.3 | - | 0 | 3 | 100 |
Physical activity | 3 | 7.3 | - | 0 | 3 | 100 |
Statistical method h | ||||||
Binary logistic regression | 21 | 51 | ||||
Other regression techniques | 18 | 44 | ||||
ANOVA/ANCOVA | 3 | 7.3 | ||||
Propensity scores | 1 | 2.4 | ||||
Instrumental variables | 1 | 2.4 | ||||
Prevalence ratios | 1 | 2.4 |