Table 3 Relationships between various risk factors and frequent psychotropic drug use in 1,257 young adults aged 18–29: adjusted odds ratio and 95% CI computed with logistic model

Socio-occupational category: vs. managers, intellectual and intermediate professionals (131)

Manual workers

2.57*

1.02–6.44

Employees

2.58*

1.11–5.98

Farmers, craftsmen and tradesmen

4.97*

1.13–21.8

Other occupations or unknown

1.69

0.60–4.74

Students

2.40*

1.06–5.40

Housewives

3.82**

1.39–10.5

Unemployed people

1.74

0.62–4.89

Woman (vs. men)

2.03***

1.38–3.01

Logistic regression model including all factors considered (Table 2) Socio-occupational category: vs. managers, intellectual and intermediate professionals (131)

Manual workers

1.49

0.56–4.03

Employees

2.22§

0.92–5.36

Farmers, craftsmen and tradesmen

5.40*

1.14–25.4

Other occupations or unknown

1.49

0.51–4.39

Students

2.22§

0.95–5.18

Housewives

3.23*

1.09–9.60

Unemployed people

1.50

0.51–4.44

Woman (vs. men)

1.60*

1.05–2.45

Current smokers

1.38§

0.94–2.01

Not-good health status

2.01***

1.34–3.02

Diagnosed diseases vs. disease free

   Musculoskeletal disorders (MSD)

1.80*

1.08–3.02

   Other diseases

1.32

0.78–2.23

   Both MSD and other diseases

2.13**

1.25–3.62

   Visual disability

1.44

0.85–2.46

   Cognitive disability (at least one)

0.84

0.55–1.29

Self-reported personality traits

   Worried

1.83**

0.23–2.73

   Not sociable

1.27

0.87–1.86

   Not calm

1.15

0.71–1.85

   Aggressive

1.06

0.60–1.89

   Nervous

1.95***

1.29–2.95

   Sad

2.50**

1.30–4.82

Living alone

1.65§

0.97–2.80

Lack of family support

2.03**

1.19–3.45