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. 2018 Aug 5;8(8):e020770. doi: 10.1136/bmjopen-2017-020770

Table 2.

Association between CMD, MDD, GAD and alcohol abuse and covariates, Héraclès study, France, 2014 (χ2 test)

MDD and GAD (n=648) Alcohol (n=196)
N (%) P values (χ2-df) N (%) P values (χ2-df)
Work characteristics
Work intensity <0.01 0.01
 High 232 (52.8) (111.1–1) 58 (13.3) (7.5–1)
 Low 416 (26.2) 138 (8.7)
Emotional demands <0.01 <0.01
 High 262 (54.9) (149.8–1) 73 (15.3) (21.8–1)
 Low 386 (24.9) 123 (7.9)
Autonomy <0.01 0.48
 High 158 (26.4) (11.6–1) 53 (8.9) (0.6–1)
 Low 490 (34.3) 143 (10.0)
Conflict in values <0.01 <0.01
 High 335 (48.8) (134.4–1) 90 (13.1) (13.5–1)
 Low 313 (23.3) 106 (7.9)
Social relations at work <0.01 0,03
 High 103 (15.0) (137.2–1) 52 (7.6) (4.9–1)
 Low 545 (40.7) 144 (10.8)
Job insecurity <0.01 014
 High 242 (42.8) (41.8–1) 64 (11.3) (2.2–1)
 Low 406 (27.8) 132 (9.0)
Covariates
Patient characteristics
Age group 0.03 0,24
 (18–35) 172 (28.8) (7.1–2) 48 (8.0) (2.8–2)
 (36–50) 306 (35.1) 87 (10.0)
 (51–65) 169 (30.6) 60 (10.9)
Gender <0.01 <0,01
 Male 266 (28.3) (10.5–1) 140 (14.9) (53.7–1)
 Female 382 (35.2) 56 (5.2)
Occupational grade 0.32 <0.01
 Blue collar 79 (28.9) (2.3–2) 53 (19.4) (37.8–2)
 Pink collar 386 (32.6) 86 (7.3)
 White collar 152 (29.6) 50 (9.7)
Educational level 0.13 <0.01
 <High school degree 266 (34.1) (2.3–1) 98 (12.6) (11.7–1)
 ≥High school degree 381 (30.8) 97 (7.8)
Family status 0.01 <0.01
 Lives alone 471 (30.5) (6.3–1) 63 (13.1) (7.9–1)
 Lives with a partner or parents 177 (36.8) 133 (8.6)
Household income (in €) 0.03 0.3
 (0–3000) 184 (37.5) (4.8–1) 53 (10.8) (1.1–1)
 3000+ 353 (31.7) 100 (9.0)
Company size 0.03 <0.01
 1–5 108 (29.9) (9.1–3) 51 (14.1) (16.5–3)
 6–25 183 (37.3) 53 (10.8)
 26–250 138 (32.9) 43 (10.2)
 250+ 203 (29.5) 45 (6.6)
Previous mental health problems/disorders <0.01 <0.01
 Yes 108 (57.1) (57.1–1) 30 (15.9) (16.5–1)
 No 516 (29.8) 150 (8.6)
Past somatic problems 0.82 0.84
 Yes 185 (33.1) (0.05–1) 53 (9.5) (0.04–1)
 No 445 (32.4) 136 (9.9)
Purpose of consultation with GP
 Somatic <0.01 0.04
  Yes 335 (25.2) (81.5–1) 115 (8.6) (4.4–1)
  No 313 (45) 81 (11,6)
 Psychological <0.01 <0.01
  Yes 312 (73.4) (422.3–1) 61 (14.4) (12.8–1)
  No 336 (21) 135 (8.4)
 Chronic disease management <0.01 <0.01
  Yes 75 (24) (10.5–1) 46 (14.7) (10.0–1)
  No 573 (33.4) 150 (8.8)
 Past unemployment 0.57 <0.01
  Yes 202 (33) (0.33–1) 80 (13,1) (11.0–1)
  No 446 (31.5) 116 (8.2)
 Job instability <0.01 <0.01
  Yes 229 (43.9) (47.0–1) 70 (13.4) (12.0–1)
  No 400 (27.5) 118 (11.1)
GPs characteristics
GP’s gender <0.01 <0.01
 Male 375 (27.5) (37.8–1) 152 (11.1) (9.9–1)
 Female 273 (41.2) 44 (6.6)
GP’s age 0.13 0.14
 (18–39) 72 (37.1) (5.7–3) 18 (9.3) (5.5–3)
 (40–49) 190 (30.4) 49 (7.8)
 (50–59) 254 (30.5) 95 (11.4)
 60+ 132 (35.2) 34 (9.1)
Size of practice population <0.01 0.06
 0–500 79 (37.4) (14.7–3) 18 (8.5) (7.4–3)
 5000–1000 295 (29.7) 82 (8.3)
 1000–1500 136 (31.4) 47 (10,9)
 1500+ 104 (41.1) 34 (13.4)
Comfort with mental health problems 0.21 0.48
 High 500 (31.3) (1.6–1) 155 (9.7) (0.5–1)
 Low 118 (34.9) 28 (8.3)
High opportunity to work with mental health specialists <0,01 0.05
 High 345 (36.7) (18.2–1) 103 (9.9) (3.7–1)
 Low 286 (27.6) 86 (9.1)
Contextual characteristics
Social deprivation 0.32 0.87
 High 167 (30.2) (1.0–1) 52 (9.4) (0.03–1)
 Low 481 (32.6) 144 (9.8)
Material deprivation <0.01 0,74
 High 306 (36) (10.4–1) 85 (10) (0.1–1)
 Low 342 (29.1) 111 (9.4)
Density of psychiatrist 0.02 0.97
 High 522 (33.3) (5.1–1) 45 (9.8) (0.01–1)
 Low 126 (27.5) 151 (9.6)
Density of psychologist 0.05 0.10
 High 515 (33.1) (4.0–1) 36 (7.6) (2.7–1)
 Low 133 (28.1) 160 (10.3)
Density of GP 0.06 0.88
 High 505 (33.1) (3.6–1) 50 (10) (0.02–1)
 Low 143 (28.4) 146 (9.6)

CMD, common mental disorder; GAD, generalised anxiety disorder; GPS, general practitioners; MDD, major depressive disorder.