| Literature DB >> 35363827 |
Ghina Ghazeeri1, Nour Ibrahim2, Fatin Khalifeh1, Christine Beyrouthy1, Lina El-Taha1, Maya Bizri2.
Abstract
PURPOSE: To investigate the difference in character strengths (CSs) between patients with and without polycystic ovary syndrome (PCOS) and the association between biological (i.e., testosterone levels) and psychological factors (i.e., character strengths). PATIENTS AND METHODS: A total of 99 women divided into PCOS (49) and non-PCOS (50) groups who presented to the gynecological clinics at the women's center in the American University of Beirut Medical Center in 2017 were included. Women were assessed for testosterone bioavailable levels and completed a questionnaire that included Hospital Anxiety and Depression Scale and Values in Action Survey-72. Univariate and multivariable analyses were performed to examine the association of CSs between the two groups and its predictors.Entities:
Mesh:
Substances:
Year: 2022 PMID: 35363827 PMCID: PMC8975165 DOI: 10.1371/journal.pone.0266398
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Comparison of anxiety and depression scores between PCOS and non-PCOS groups.
| Variables | PCOS (n = 49); Mean (SD) | Non-PCOS (n = 50); Mean (SD) | t | P-value |
|---|---|---|---|---|
|
| 5.5 (4.0) | 5.9 (3.7) | 0.52 | 0.60 |
|
| 3.3 (2.7) | 4.7 (3.4) | 2.21 | 0.03 |
Comparison of 24 character strengths between the two groups.
| Variables | PCOS (n = 49); Mean (SD) | Non-PCOS (n = 50); Mean (SD) | P-value |
|---|---|---|---|
|
| 12.6 (1.8) | 12.1 (1.7) | 0.088 |
|
| 12.0 (2.1) | 12.0 (2.5) | 0.571 |
|
| 11.8 (2.4) | 11.4 (2.2) | 0.297 |
|
| 11.6 (2.0) | 11.2 (2.0) | 0.362 |
|
| 12.3 (2.2) | 12.42 (1.8) | 0.843 |
|
| 11.7 (2.7) | 11.3 (2.3) | 0.184 |
|
| 12.2 (2.4) | 12.0 (2.0) | 0.310 |
|
| 13.2 (1.6) | 13.0 (1.6) | 0.495 |
|
| 12.3 (2.2) | 11.6 (2.1) |
|
|
| 9.9 (2.5) | 10.6 (2.0) | 0.341 |
|
| 12.0 (2.7) | 11.68 (2.2) | 0.276 |
|
| 12.5 (2.2) | 12.1 (1.7) |
|
|
| 12.6 (1.8) | 12.5 (1.8) | 0.680 |
|
| 12.8 (1.6) | 12.3 (1.7) | 0.227 |
|
| 12.7 (2.6) | 12.2 (2.3) | 0.153 |
|
| 9.5 (2.6) | 9.8 (2.1) | 0.540 |
|
| 12.3 (2.1) | 12.5 (2.0) | 0.532 |
|
| 12.1 (1.9) | 11.6 (1.9) |
|
|
| 11.6 (2.8) | 11.4 (2.2) | 0.362 |
|
| 9.4 (2.6) | 9.9 (2.5) | 0.367 |
|
| 12.4 (1.7) | 12.1 (1.6) | 0.326 |
|
| 11.6 (2.5) | 11.0 (2.4) | 0.206 |
|
| 12.6 (2.5) | 13.0 (1.2) | 1.000 |
|
| 11.5 (2.7) | 11.2 (2.5) | 0.221 |
Multiple linear regressions for the predictors of the 24 character strengths and 6 virtues between the two groups.
| Dependent Variable | Variables | B | Beta | t | P-value | R2 |
|---|---|---|---|---|---|---|
|
| Acne | -1.333 | -0.326 | -2.308 | 0.024 | 0.144 |
| Hirsutism | -0.073 | -0.240 | -2.005 | 0.049 | ||
|
| Irregular menstrual cycle | 0.930 | 0.244 | 2.244 | 0.028 | 0.188 |
|
| Free androgen index (FAI) | -0.093 | -0.227 | -1.994 | 0.05 | 0.101 |
|
| Irregular menstrual cycle | 3.062 | 0.232 | 2.013 | 0.048 | 0.54 |
Distribution of PCOS and non-PCOS groups with respect to their individual characteristics.
| Variables | PCOS | Non-PCOS | |
|---|---|---|---|
| (n = 49) | (n = 50) | ||
| N (%) or Mean (SD) | N (%) or Mean (SD) | ||
|
| 25.0 (4.7) | 28.1 (5.3) | |
|
| Less than high school | 5 (10.2) | 0 (0.0) |
| High school | 3 (6.1) | 3 (6.0) | |
| College degree | 10 (20.4) | 6 (12.0) | |
| Bachelor’s degree or higher | 31 (63.3) | 41 (82.0) | |
|
| Unemployed | 24 (49.0) | 5 (10.0) |
| Employed | 25 (51.0) | 45 (90.0) | |
|
| x < 1000$ | 12 (25.0) | 9 (18.7) |
| 1,000$ < x < 2,000$ | 17 (35.4) | 21 (43.8) | |
| 2,000$ < x < 5000$ | 14 (29.2) | 16 (33.3) | |
| 5,000$ < x < 10,000$ | 4 (8.3) | 2 (4.2) | |
| x > 10,000$ | 1 (2.1) | 0 (0.0) | |
|
| No | 45 (92.0) | 37 (74.0) |
| Yes | 4 (8.0) | 13 (26.0) | |
|
| No | 34 (69.0) | 37 (74.0) |
| Yes | 15 (31.0) | 13 (26.0) |
Note: valid percentages were used in case of no response.