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Table 1 Participant characteristics and association with wellbeing scores

From: Immediate impact of stay-at-home orders to control COVID-19 transmission on mental well-being in Bangladeshi adults: Patterns, Explanations, and future directions

Variables Categories n Mean (sd) P-value*
Age group 16–19 50 (3.6%) 42.74 (12.78) 0.087
20–29 767 (54.6%) 42.06 (10.85)
30–39 447 (31.8%) 42.24 (10.35)
40–49 110 (7.8%) 45.11 (10.89)
 ≥ 50 30 (2.1%) 44.06 (12.65)
Gender* Male 888 (63.2%) 43.04 (10.82) 0.007
Female 516 (36.8%) 41.37 (11.22)
Marital Status Married 713 (50.8%) 42.29 (10.97) 0.799
Never-Married 671 (47.8) 42.60 (10.91)
Others 20 (1.4%) 41.35 (12.63)
Education Schooling 6–12 years 232 (16.5%) 42.03 (11.18) 0.777
Undergraduate 576 (41.0%) 42.37 (10.83)
Graduate 596 (42.5%) 42.63 (11.18)
Occupation Business 79 (5.6%) 39.53 (11.42)  < 0.001
Government 69 (4.9%) 45.14 (11.79)
Healthcare 356 (25.4%) 43.62 (09.99)
Housewife/ Unemployed 129 (9.2%) 39.57 (10.40)
Non-government 353 (25.1%) 42.77 (11.66)
Student 418 (29.80) 42.10 (11.31)
Working Condition Not employed 758 (54.0%) 41.94 (11.12) 0.201
Work from home 422 (30.1%) 42.93 (11.09)
Work from both home and Outside 224 (15.9%) 43.13 (11.01)
Current location
of living*
City 1118 (79.1%) 42.68 (11.09) 0.0961
Village 286 (20.9%) 41.45 (11.12)
  1. *p-value was calculated from ANOVA, and the p-values for gender and current location of living were calculated from t-test