TABLE 1.
Demographic comparison of perimenopausal and postmenopausal survey participants (two-tailed)
| Demographic variables | All respondents, N = 258 | Perimenopausal, n = 131 | Postmenopausal, n = 127 | Perimenopausal vs postmenopausal |
|---|---|---|---|---|
| Gender identity | n (%) | n (%) | n (%) | χ2 = 2.00, P = 0.37 |
| Female | 256 (99.2%) | 130 (99.2%) | 126 (99.2%) | — |
| Male | 1 (0.4%) | 0 (0.0%) | 1 (0.8%) | — |
| Nonbinary | 1 (0.4%) | 1 (0.8%) | 0 (0.0%) | — |
| Current age | Mean ± SD | Mean ± SD | Mean ± SD | ANOVA |
| 51.37 ± 5.63 | 49.07 ± 4.25 | 53.74 ± 5.90 | F = 53.57, P < 0.01 | |
| Racea,b | n (%) | n (%) | n (%) | χ2 (P) |
| American Indian | 5 (2.0%) | 3 (1.2%) | 2 (0.8%) | 0.16 (0.69) |
| Asian | 4 (1.6%) | 3 (2.3%) | 1 (0.8%) | 0.92 (0.34) |
| Black/African American | 6 (2.4%) | 1 (0.8%) | 5 (4.0%) | 2.93 (0.09) |
| White | 246 (96.9%) | 128 (98.5%) | 118 (95.3%) | 2.27 (0.13) |
| Ethnicityc | n (%) | n (%) | n (%) | χ2 = 0.12, P = 0.73 |
| Hispanic | 13 (5.3%) | 6 (4.8%) | 7 (5.8%) | — |
| Non-Hispanic | 231 (94.7%) | 118 (95.2%) | 113 (94.2%) | — |
| Income leveld | n (%) | n (%) | n (%) | χ2 = 1.95, P = 0.58 |
| $0-$49,999 | 39 (20.3%) | 17 (17.0%) | 22 (23.9%) | — |
| $50,000-$99,999 | 72 (37.5%) | 39 (39.0%) | 33 (35.9%) | — |
| $100,000-$149,999 | 43 (22.4%) | 25 (25.0%) | 18 (19.6%) | — |
| $150,000 and up | 38 (19.8%) | 19 (19.0%) | 19 (20.7%) | — |
| Education levele | n (%) | n (%) | n (%) | χ2 = 6.07, P = 0.11 |
| GED/high school diploma | 16 (7.5%) | 7 (6.3%) | 9 (8.7%) | — |
| Some college/training/Associates | 60 (28.0%) | 25 (22.5%) | 35 (34.0%) | — |
| Bachelor's | 90 (42.1%) | 55 (49.5%) | 35 (34.0%) | — |
| Master's/Doctoral | 48 (22.4%) | 24 (21.6%) | 24 (23.3%) | — |
| Marital statuse | n (%) | n (%) | n (%) | χ2= 5.89, P = 0.12 |
| Single | 31 (14.5%) | 13 (11.7%) | 18 (17.5%) | — |
| In a relationship | 41 (19.2%) | 18 (16.2%) | 23 (22.3%) | — |
| Married | 118 (55.1%) | 70 (63.1%) | 48 (46.6%) | — |
| Divorced/widowed | 24 (11.2%) | 10 (9.0%) | 14 (13.6%) | — |
| Employment statuse | n (%) | n (%) | n (%) | χ2 = 0.27, P = 0.60 |
| Employed (at least part-time) | 145 (67.8%) | 77 (69.4%) | 68 (46.9%) | — |
| Unemployed/retired/disabled | 69 (32.2%) | 34 (30.6%) | 35 (34.0%) | — |
| Self-reported medical conditionsf | Median (IQR) | Median (IQR) | Median (IQR) | Mann-Whitney |
| No. medical conditionsg | 2 (2) | 2 (2) | 2 (2) | Z = −1.11, P = 0.27 |
Bold numbers are significant at P ≤ 0.05.
ANOVA, analysis of variance; GED, general educational development; IQR, interquartile range; SD, standard deviation.
aRespondents were instructed to select all items that applied.
bn = 254 (perimenopausal = 130; postmenopausal = 124).
cn = 244 (perimenopausal = 124; postmenopausal = 120).
dn = 192 (perimenopausal = 100; postmenopausal = 92).
en = 214 (perimenopausal = 111; postmenopausal = 103).
fn = 251 (perimenopausal = 127; postmenopausal = 124).
gNumber of medical conditions was calculated using categories of medical conditions (e.g., psychiatric, pain, uterine/vaginal, sleep, cardiovascular/hematological, endocrine, oncological, gastrointestinal, dermatological, neurological/neurodegenerative, and other).