| Literature DB >> 35173491 |
Jeongok Park1, Jung Jae Lee2, SoMi Park3, Hyeonkyeong Lee1, Sujin Nam2, Sejeong Lee4, Hyojin Lee4.
Abstract
PURPOSE: This study aimed to explore the severity of premenstrual syndrome (PMS) and to examine associated factors with PMS among East Asian female college students with regard to endocrine-disrupting chemical (EDC). PATIENTS AND METHODS: This study was a cross-sectional design. An online survey was completed by 520 female college students in Hong Kong and Korea. The structured questionnaire included items measuring knowledge of EDCs, actions taken and willingness to minimize exposure to EDCs, interest in EDCs, prior education on EDCs, life stress, severity of PMS, and general and health-related characteristics. Multiple logistic regressions were performed.Entities:
Keywords: public health nursing; reproductive health; women’s health
Year: 2022 PMID: 35173491 PMCID: PMC8842637 DOI: 10.2147/IJWH.S349172
Source DB: PubMed Journal: Int J Womens Health ISSN: 1179-1411
Figure 1Conceptual framework of the study based on the theory of unpleasant symptom.
Results of Severity of Premenstrual Syndrome by Participants’ Characteristics and Main Variables (n = 520)
| Variable | PMS | t/ | |
|---|---|---|---|
| Severe PMS | No Severe-PMS | ||
| Nationality | 0.108 (0.742) | ||
| Korea | 122 (43.0) | 98 (41.5) | |
| Hong Kong | 162 (57.0) | 138 (58.5) | |
| Age (years) | 20.86±1.84 | 20.61±1.68 | −1.620 (0.106) |
| Area of one’s growth | 1.119 (0.572) | ||
| Metropolitan area | 153 (53.9) | 137 (58.1) | |
| City | 111 (39.1) | 86 (36.4) | |
| Rural area | 20 (7.0) | 13 (5.5) | |
| Self-reported parents’ economic status | 2.757 (0.252) | ||
| Upper | 20 (7.0) | 13 (5.5) | |
| Middle | 205 (72.2) | 160 (67.8) | |
| Lower | 59 (20.8) | 63 (26.7) | |
| College grade | 1.795 (0.616) | ||
| Year 1 | 44 (15.5) | 44 (18.6) | |
| Year 2 | 77 (27.1) | 63 (26.7) | |
| Year 3 | 62 (21.8) | 56 (23.7) | |
| Year 4 or higher | 101 (35.6) | 73 (31.0) | |
| Majors | 3.242 (0.518) | ||
| Humanities, social sciences | 114 (40.1) | 97 (41.1) | |
| Natural sciences, engineering | 57 (20.1) | 49 (20.8) | |
| Health | 79 (27.8) | 60 (25.4) | |
| Arts, sports | 26 (9.2) | 17 (7.2) | |
| Others | 8 (2.8) | 13 (5.5) | |
| Living arrangement | 1.216 (0.758)a | ||
| Live alone | 25 (8.8) | 18 (7.6) | |
| Live with parents | 159 (56.0) | 134 (56.8) | |
| Live in dormitory or with friends | 93 (32.7) | 81 (34.3) | |
| Others | 7 (2.5) | 3 (1.3) | |
| Body Mass Index | 10.499 (0.015) | ||
| <18.5 (underweight) | 49 (17.3) | 58 (24.6) | |
| 18.5–22.9 (normal) | 187 (65.8) | 134 (56.8) | |
| 23.0–24.9 (overweight) | 31 (10.9) | 18 (7.6) | |
| ≥25 (obese) | 17 (6.0) | 26 (11.0) | |
| Past medical history | 0.183 (0.669) | ||
| Yes | 41 (14.4) | 31 (11.1) | |
| No | 243 (85.6) | 205 (88.9) | |
| Current medical disease | 0.153 (0.696) | ||
| Yes | 26 (9.2) | 24 (10.2) | |
| No | 258 (90.8) | 212 (89.9) | |
| Subjective health status | 5.60±1.87 | 5.83±1.82 | 1.404 (0.161) |
| Physiological factors | |||
| Menstrual duration (days) | 1.109 (0.292) | ||
| Normal (≤8 days) | 282 (99.3) | 232 (98.3) | |
| Prolonged (>8 days) | 2 (0.7) | 4 (1.7) | |
| Menstrual regularity | 4.295 (0.038) | ||
| Regular | 101 (35.6) | 105 (44.5) | |
| Irregular | 183 (64.4) | 131 (55.5) | |
| Self-reported menstrual amount | 8.578 (0.014) | ||
| Light | 29 (10.2) | 26 (11.0) | |
| Moderate | 172 (60.6) | 167 (70.8) | |
| Heavy | 83 (29.2) | 43 (18.2) | |
| Menarche age (years) | 12.54±1.68 (8–21) | 12.60±1.99 (7–24) | 0.415 (0.678) |
| Psychological factors | |||
| Life stress | |||
| Task-related stress (score range: 0–81) | 30.60±13.97 (3–76) | 23.88±12.91 (0–58) | 5.650 (<.001) |
| Interpersonal relationship stress (score range: 0–69) | 12.85±9.46 (0–45) | 7.99±6.90 (0–45) | −6.757 (<.001) |
| Situational factors | |||
| Knowledge of EDCs (score range: 0–100) | 54.75±23.29 (0–92) | 50.10±23.67 (0–100) | −2.248 (0.025) |
| Actions taken to minimize EDC exposure (score range: 0–100) | 65.52±8.03 (44–87) | 68.54±7.12 (47–87) | 4.538 (<.001) |
| Willingness to minimized EDC exposure (score range: 1–5) | 3.27±0.94 (1–5) | 3.11±1.07 (1–5) | −1.825 (0.069) |
| Interest in EDCs (score range: 0–10) | 5.27±2.38 (0–10) | 4.47±2.33 (0–10) | 3.833 (<.001) |
| Prior education on EDCs | 0.014 (0.906) | ||
| Yes | 31 (10.9) | 25 (10.6) | |
| No | 253 (89.1) | 211 (89.4) | |
Note: aFisher’s exact test.
Abbreviations: EDCs, endocrine disrupting chemicals; PMS, premenstrual syndrome.
Results of Multiple Logistic Regressions of Factors Associated with Severe Premenstrual Syndrome in Korea and Hong Kong (n = 520)
| Variables | Total (n = 520) | Korea (n = 220) | Hong Kong (n=300) | ||||||
|---|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | OR | 95% CI | ||||
| Lower | Upper | Lower | Upper | Lower | Upper | ||||
| Menstrual regularity (ref: regular) | |||||||||
| Irregular | 1.29 | 0.87 | 1.90 | 1.02 | 0.52 | 1.98 | 1.42 | 0.87 | 2.33 |
| Self-reported menstrual amount (ref: Moderate) | |||||||||
| Light | 0.98 | 0.52 | 1.84 | 1.92 | 0.66 | 5.58 | 0.60 | 0.27 | 1.36 |
| Heavy | 1.75* | 1.10 | 2.77 | 2.24* | 1.08 | 4.64 | 1.39 | 0.74 | 2.60 |
| Body Mass Index (ref: Normal) | |||||||||
| Underweight | 0.61* | 0.38 | 0.98 | 0.74 | 0.33 | 1.69 | 0.55 | 0.30 | 1.01 |
| Overweight | 1.19 | 0.61 | 2.32 | 1.59 | 0.57 | 4.43 | 0.99 | 0.39 | 2.51 |
| Obese | 0.37** | 0.18 | 0.76 | 0.34* | 0.12 | 0.92 | 0.40 | 0.13 | 1.23 |
| Life stress | |||||||||
| Task-related stress | 1.01 | 0.99 | 1.03 | 1.01 | 0.98 | 1.04 | 1.02 | 0.99 | 1.04 |
| Interpersonal relationship stress | 1.06*** | 1.03 | 1.09 | 1.09** | 1.03 | 1.15 | 1.04* | 1.00 | 1.09 |
| Knowledge of EDCs | 1.01 | 0.99 | 1.01 | 1.03** | 1.01 | 1.05 | 1.00 | 0.99 | 1.01 |
| Actions taken to minimize EDC exposure | 0.97* | 0.94 | 0.99 | 0.96* | 0.92 | 0.99 | 0.97 | 0.93 | 1.01 |
| Interest in EDCs | 1.11* | 1.02 | 1.21 | 1.105 | 0.95 | 1.29 | 1.11* | 1.00 | 1.22 |
Notes: *p<0.05, **p<0.01, ***p<0.001.
Abbreviation: EDCs, endocrine disrupting chemicals.