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. 2024 Apr 3;21(4):438. doi: 10.3390/ijerph21040438

Table 1.

Socio-demographic characteristics of participants (age, educational level) in different office designs split by gender.

Office Types Cell
Office
Shared-
Room
Small Open
Plan Office
Med.-Sized
Open Plan
Office
Large Open
Plan Office
Hot-
Desking 1
Combi- Office Summary
of Per-centages
Sign. Diff.
btw
Office Designs
Total Sample (n) = 4352
Women (n) = 2380
Men (n) = 1972
n1 = 2084 n2 = 817 n3 = 470 n4 = 229 n5 = 350 n6 = 321 n7 = 81
Gender ≤0001 (***)
Women 1089 (46) 459 (19) 279 (12) 128 (05) 172 (07) 205 (09) 48 (02) ~100.0
Men 995(50) 358 (18) 191 (10) 101 (05) 178 (09) 116 (06) 33 (02) ~100.0
Age a ≤0001 (***)
Women 51.5 50 48 47.5 46 48.5 47
Men 52.5 49 49 47.5 48 48.5 52
Education b,c
Women ≤0001 (***)
(1) Low level 210 (42) 105 (21) 49(10) 36 (07) 34 (07) 60 (12) 11 (02) ~100.0
(2) Middle high level 377 (45) 161 (19) 96(11) 40 (05) 68 (08) 78 (09) 22 (03) ~100.0
(3) High level 502 (49) 193 (19) 134 (13) 52 (05) 70 (07) 67 (06) 15 (01) ~100.0
Men ≤0001 (***)
(1) Low level 284 (54) 101 (19) 44 (08) 16 (03) 29 (05) 45 (09) 9 (02) ~100.0
(2) Middle high level 357 (47) 132 (18) 84 (11) 42 (06) 76 (10) 51 (07) 10 (01) ~100.0
(3) High level 354 (51) 125 (18) 63 (09) 43 (06) 73 (11) 20 (03) 14 (02) ~100.0

Note: Figures in parentheses are percentages calculated row wise. 1 = hot-desking is a not an office type, but a subgroup of the office type flex-office. a = mean age of employees in office design. b = number of male and female employees is based on the age analyses. c Educational levels: low level = up to senior high, middle high level = senior high school education, high level = college/university education. The significance levels refer to total analyses of differences between office designs with regard to gender, age, and educational level *** = p ≤ 0.001.