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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