Health-related and social factors predicting non-reemployment amongst newly unemployed

Table 1 Proportion and logistic regression of non-response by sociodemographic factors

		Included	Excluded	Logistic regression
Total		502 (50.2%)	498 (49.8%)
Age	17-25	178 (47.8%)**	194 (52.2%)**	1
	26-45	231 (47.8%)**	252 (52.2)**	0.89 (0.65-1.23)
	46-64	93 (64.1%)**	52 (35.9%)**	0.53 (0.34-0.82)**
Sex	Female	233 (58.7%)**	164 (41.3%)**	1
	Male	269 (44.6%)**	334 (55.4%)**	1.84 (1.38-2.45)**
Place of residence ^a	Mayor city	150 (42.3%)**	205 (57.7%)**	1
	Other cities	147 (53.6%)**	127 (46.4%)**	0.66 (0.46-0.94)*
	Smaller cities and rural districts	205 (55.3%)**	166 (44.7%)**	0.62 (0.45-0.86)**
Previous unemployment	No	284 (54.3%)**	239 (45.7%)**	1
	Yes	218 (45.7%)**	259 (54.3%)**	1.67 (1.25-2.24)**
Reemployment ^b	Reemployed	81 (64.3%)	45 (35.7%)	1
	Not reemployed	421 (56.4%)	325 (43.6%)	1.43 (0.95-2.14)

* = p < 0.05 ** = p < .01 Pearson’s two-sided Chi-2 significance.
^a = Mayor city = district with > 200,000 inhabitants plus suburban districts adjacent to these districts. Other city = district with 50,000-200,000 inhabitants. In accordance with Svenska Kommunförbundet [56].
^b = Had been employed at least three months and had employment after one year. Concerns only those 872 with complete data from the AMS register.
^L = Multivariate logistic regression with exclusion as the dependent variable and age, sex, place of residence, previous unemployment and non-reemployment as independent variables.

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