Table 1 PPS as a function of demographics

From: Dynamic effects of psychiatric vulnerability, loneliness and isolation on distress during the first year of the COVID-19 pandemic

Demographic variable

Level

N (%)

PPS:

Mean (s.d.)

Relationship with PPS

Gender

Woman

2,894 (80.48)

0.57 (0.21)

F(5, 3,590) = 29.09, P < 0.001

Man

595 (16.55)

0.49 (0.22)

Non-conforming

43 (1.2)

0.77 (0.16)

Trans

9 (0.25)

0.73 (0.21)

Other

13 (0.36)

0.84 (0.07)

Missing

42 (1.17)

0.55 (0.23)

Racial Identity

White

3,216 (89.43)

0.57 (0.22)

F(6, 3,589) = 8.75, P < 0.001

African American/Black

121 (3.36)

0.48 (0.21)

Asian American/Pacific Islander

109 (3.03)

0.45 (0.21)

American Indian/Native American

34 (0.95)

0.55 (0.17)

Multiple

63 (1.75)

0.57 (0.22)

Unknown

13 (0.36)

0.57 (0.16)

Missing

40 (1.11)

0.56 (0.21)

Ethnicity

Not Latino

3,243 (90.18)

0.56 (0.22)

F(3, 3,592) = 0.068, P = 0.977

Latino

200 (5.56)

0.57 (0.21)

Unknown

32 (0.89)

0.55 (0.21)

Missing

121 (3.36)

0.56 (0.22)

Setting

Suburban

1,889 (52.53)

0.56 (0.22)

F(3, 3,592) = 30.22, P < 0.001

Urban

1,173 (32.62)

0.53 (0.21)

Rural

518 (14.40)

0.64 (0.20)

Missing

16 (0.44)

0.46 (0.19)

Education

Advanced professional degree

1,875 (52.14)

0.51 (0.20)

F(4, 3,591) = 65.91, P < 0.001

Less than advanced professional degree

1,129 (31.4)

0.59 (0.22)

Less than bachelor's degree

482 (13.4)

0.66 (0.21)

Less than associate degree

99 (2.75)

0.69 (0.21)

Missing

11 (0.31)

0.55 (0.17)

Age

[18, 87]

3,596 (100)

0.56 (0.22)

B = −0.002 (0.00), t = −7.17, P < 0.001

Household size

[1.00, 10.00]

3,581 (100)

0.56 (0.22)

B = −0.001 (.003), t = −0.45, P = 0.654

Household status

Living with others

2,813 (78.23)

0.56 (0.22)

F(2, 3,593) = 3.391, P = 0.0338

Living alone

768 (21.36)

0.58 (0.22)

Missing

15 (0.42)

0.61 (0.20)

  1. This table presents mean PPS as a function of demographic categories across participants who completed baseline questionnaires (n = 3,596). We used the function ‘summary_factorlist’ in the R package ‘finalfit’52 to conduct separate linear models evaluating whether PPS varies significantly as a function of each demographic variable and to generate the results table. P values reflect results of the omnibus F test for each demographic category (two-tailed, no multiplicity correction). We included covariates for each category in longitudinal models.