Table 1 Descriptive statistics of selected sociodemographic, health-related behaviours and biological characteristics according to neighbourhood deprivation quintiles (CoLaus, n = 5064).

From: Neighbourhood socioeconomic deprivation and allostatic load: a multi-cohort study

Variables

Total (n = 5064)

Q1-least deprived (n = 1086)

Q2 (n = 1019)

Q3 (n = 1017)

Q4 (n = 991)

Q5-most deprived (n = 951)

p-valuea

Age [Mean (SD)]

57.8 (10.5)

57.9 (9.9)

58.2 (10.4)

58.0 (10.7)

56.9 (10.5)

57.7 (11.1)

0.135

Males

2357 (46.5)

527 (48.5)

472 (46.3)

455 (44.7)

465 (46.9)

438 (46.1)

0.522

Marital Status (married or similar)

2880 (56.9)

677 (62.3)

600 (58.9)

578 (56.8)

553 (55.8)

472 (49.6)

<0.001

Education b

Low

2677 (52.9)

474 (43.6)

521 (51.1)

563 (55.4)

545 (55.0)

574 (60.4)

<0.001

Medium

726 (14.3)

187 (17.2)

172 (16.9)

138 (13.6)

115 (11.6)

114 (12.0)

High

1661 (32.8)

425 (39.1)

326 (32.0)

316 (31.1)

331 (33.4)

263 (27.7)

Alcohol intake b

Abstainer

1281 (25.3)

224 (20.6)

240 (23.6)

240 (23.6)

283 (28.6)

294 (30.9)

<0.001

Low

3443 (68.0)

793 (73.0)

712 (69.9)

715 (70.3)

642 (64.8)

581 (61.1)

High

340 (6.7)

69 (6.4)

67 (6.6)

62 (6.1)

66 (6.7)

76 (8.0)

Smoking b

Never smokers

2068 (40.8)

452 (41.6)

425 (41.7)

413 (40.6)

379 (38.2)

399 (42.0)

0.002

Former smoker

1903 (37.6)

428 (39.4)

408 (40.0)

375 (36.9)

359 (36.2)

333 (35.0)

Current smoker

1093 (21.6)

206 (19.0)

186 (18.3)

229 (22.5)

253 (25.5)

219 (23.0)

Sedentariness (yes)b

1620 (32.0)

343 (31.6)

357 (35.0)

339 (33.3)

297 (30.0)

284 (29.9)

0.059

Allostatic load score

2.88 (2.02)

2.63 (1.96)

2.87 (2.00)

2.91 (2.08)

2.94 (2.00)

3.07 (2.03)

<0.001

Cardiovascular system score

0.49 (0.75)

0.47 (0.75)

0.50 (0.77)

0.49 (0.76)

0.48 (0.75)

0.51 (0.75)

0.458

Metabolic system score

2.15 (1.61)

1.95 (1.54)

2.13 (1.59)

2.19 (1.63)

2.20 (1.62)

2.29 (1.65)

<0.001

Inflammation system score

0.24 (0.43)

0.21 (0.41)

0.24 (0.43)

0.24 (0.42)

0.26 (0.44)

0.28 (0.45)

<0.001

  1. aANOVA or Kruskal–Wallis test for continuous variables and chi-square test for categorical.
  2. bCategorization criteria are fully described in the methods section.