Skip to main content
. 2018 Jun 2;18(3):209–217. doi: 10.1016/j.ijchp.2018.05.001

Table 2.

Types of specific stressors and their sociodemographic correlates.

12-months prevalence
Sociodemographic correlatesa
Stressors N % Female gender Higher age Permanent partner, married Acad. job training Low social class
Unwillingly job loss (all participants) 330 100.0
Divorce or separated 24 7.3
Family conflicts 98 29.8 *, ↓
Conflicts with administration 46 14.0 *, ↓ *, ↑
Conflicts with neighbours 37 11.3
Illness of/or care for family members 66 20.1
Death of family members or close others 59 18.0 *, ↑
Retirement 2 0.6
Moved to another apartment 55 16.7 *,↓ *, ↓
Financial problems 106 32.2 *, ↓ *, ↓ *, ↑
Severe illness 21 6.4
Serious accident 10 3.0
Victim of raid/burglary 6 1.8 *, ↓
Gave up important leisure activity 21 6.4 *, ↑
Any other distressing event 16 4.9
More than one 257 77.9 *, ↓
More than two 156 47.3 *, ↓ *, ↓ *, ↑
More than three 85 25.8 *, ↑ *, ↓ *, ↓ *, ↑

Notes. * p < .05; p, probability: ↑, means higher probability of the stressor; ↓, means lower probability of the stressor.

a

Associations were investigated with logistic regression analyses. Only significant associations between the stressor types and the covariates of: female gender, higher age, living in a permanent partnership or married, an academic job training and the self-rating ‘belonging to a low social class’ are shown.