| Literature DB >> 35742048 |
Yung-Taek Ouh1, Kyung-Jin Min2, Sanghoon Lee3, Jin-Hwa Hong4, Jae Yun Song3, Jae-Kwan Lee4, Nak Woo Lee2.
Abstract
Hysterectomy remains a frequent gynecologic surgery, although its rates have been decreasing. The aim of this study was to investigate whether socioeconomic status affected the risk of hysterectomy in Korean women. This prospective cohort study used epidemiologic data from 2001 to 2016, from the Korean Genomic and Epidemiology Study (KoGES). Multivariate logistic regression analyses were performed to estimate the association between household income or education level and hysterectomy. Among 5272 Korean women aged 40-69 years, 720 who had a hysterectomy and 4552 controls were selected. Variable factors were adjusted using logistic regression analysis (adjusted model). Adjusted odds ratios (aORs) for insurance type and hysterectomy were not statistically significant. The aOR was 1.479 (95% confidence interval (CI): 1.018-2.146, p < 0.05) for women with education of high school or lower compared to college or higher. Women whose monthly household income was <KRW 4,000,000 had a higher risk of undergoing hysterectomy than women whose monthly household income was ≥KRW 4,000,000 (aOR: 2.193, 95% CI: 1.639-2.933, p < 0.001). Overall, the present study elucidated that lower socioeconomic status could increase the incidence of hysterectomy. Our results indicate that the implementation of stratified preventive strategies for uterine disease in those with low education and low income could be beneficial.Entities:
Keywords: education; hysterectomy; income; socioeconomic status
Year: 2022 PMID: 35742048 PMCID: PMC9223165 DOI: 10.3390/healthcare10060997
Source DB: PubMed Journal: Healthcare (Basel) ISSN: 2227-9032
Comparison of characteristics between hysterectomy and non-hysterectomy groups.
| Variables | Hysterectomy | Non-Hysterectomy | |
|---|---|---|---|
| No. | 720 | 4552 | |
| Age | 54.63 (±8.90) | 61.23 (±9.93) | <0.001 |
| Education | 0.164 | ||
| Elementary school | 313 (43.78) | 2070 (45.98) | |
| Middle school | 173 (24.20) | 1037 (23.03) | |
| High school | 193 (26.99) | 1118 (24.83) | |
| College or higher | 36 (5.04) | 277 (6.14) | |
| Marital status | <0.001 | ||
| No | 9 (1.25) | 22 (0.48) | |
| Married | 603 (83.87) | 3440 (75.80) | |
| Widow | 90 (12.52) | 956 (21.07) | |
| Separated | 1 (0.14) | 30 (0.66) | |
| Divorced | 16 (2.23) | 79 (1.74) | |
| unknown | 0 (0.00) | 11 (0.24) | |
| Household income (×10,000 KRW) | <0.001 | ||
| <50 | 162 (22.98) | 1221 (28.00) | |
| 50–100 | 108 (15.32) | 620 (14.22) | |
| 100–150 | 103 (14.61) | 472 (10.82) | |
| 150–200 | 94 (13.33) | 403 (9.24) | |
| 200–300 | 103 (14.61) | 658 (15.09) | |
| 300–400 | 77 (10.92) | 427 (9.79) | |
| 400–600 | 38 (5.39) | 370 (8.48) | |
| ≥600 | 20 (2.84) | 190 (4.36) | |
| Insurance | 0.314 | ||
| Unknown | 7 (0.97) | 38 (0.84) | |
| National insurance | 658 (91.52) | 4069 (90.00) | |
| Medicaid | 54 (7.51) | 414 (9.16) | |
| Parity | 4.66 (±2.60) | 4.77 (±2.42) | 0.131 |
| Age of menarche | 15.85 (±1.89) | 15.87 (±1.86) | 0.781 |
| Age of first pregnancy | 23.66 (±3.31) | 23.80 (±3.28) | 0.264 |
| Age of first delivery | 30.49 (±4.29) | 31.35 (±4.70) | <0.001 |
| Breastfeeding | 0.446 | ||
| Never | 48 (7.44) | 258 (6.63) | |
| Done | 597 (92.56) | 3633 (93.37) | |
| BMI | 25.09 (±3.25) | 24.70 (±3.38) | 0.001 |
| Postmenopausal hormone replacement therapy | 74 (10.57) | 104 (2.31) | <0.001 |
Data are presented as mean ± standard deviation or N (%). BMI, body mass index; KRW, Korean won.
Figure 1The proportion of participants with hysterectomy or without hysterectomy according to household income.
Univariate and adjusted multivariate logistic regression analyses of hysterectomy.
| Univariate | Multivariate * | |||||
|---|---|---|---|---|---|---|
| Odds Ratio | 95% Confidence Interval | Odds Ratio | 95% Confidence Interval | |||
| Education level | ||||||
| High school or lower | 1.736 | 1.205–2.500 | 0.003 | 1.479 | 1.018–2.146 | <0.05 |
| College or higher | 1.000 | 1.000 | ||||
| Household income (×10,000 KRW) | ||||||
| <400 | 2.268 | 1.704–3.021 | <0.001 | 2.193 | 1.639–2.933 | <0.001 |
| ≥400 | 1.000 | 1.000 | ||||
| Insurance | ||||||
| National insurance | 1.155 | 0.853–1.565 | 0.352 | 1.314 | 0.958–1.805 | 0.090 |
| Medicaid | 1.000 | 1.000 | ||||
* Data are adjusted by age, body mass index, household income, insurance, and education level. KRW, Korean won.