| Literature DB >> 35476104 |
Juraci A Cesar1, Luana P Marmitt2, Raúl A Mendoza-Sassi1.
Abstract
OBJECTIVE: To identify and analyze the prevalence, trend, and factors associated with episiotomy in Rio Grande, in the state of Rio Grande do Sul, Southern Brazil.Entities:
Mesh:
Year: 2022 PMID: 35476104 PMCID: PMC9004702 DOI: 10.11606/s1518-8787.2022056003908
Source DB: PubMed Journal: Rev Saude Publica ISSN: 0034-8910 Impact factor: 2.106
Hierarchical analysis model for factors associated with episiotomy in Rio Grande, Southern Brazil, 2007–2019.
| Level | Variables | |
|---|---|---|
| I | Demographic: Skin color and age | Socioeconomic: Mother’s schooling and household monthly income |
| II | Reproductive: Parity | |
| III | Current pregnancy care: Performed antenatal care visits in public sector or private sector, trimester in which antenatal care started, number of consultations performed, weight gained during pregnancy, type of health services used during the delivery. | |
| IV | Labor delivery and nutritional status of newborn: induction of labor, use of forceps and birthweight | |
| Outcome | Occurrence of episiotomy | |
Prevalence of episiotomy by category of the studied variable. Rio Grande, RS, Brazil, 2007–2019.
| Variable | Prevalence of episiotomy (%) | Total of mothers (%) |
|---|---|---|
| Mother’s age (full years) | ||
| 11–19 | 66.1 (860) | 22.8 (1,301) |
| 20–24 | 52.6 (883) | 29.4 (1,679) |
| 25–29 | 49.0 (612) | 21.9 (1,250) |
| 30–34 | 43.1 (396) | 16.1 (919) |
| ≥ 35 | 31.7 (179) | 9.9 (565) |
| Skin color | ||
| White | 52.6 (1,965) | 64.9 (3,706) |
| Brown/mixed | 49.8 (633) | 22.2 (1,270) |
| Black | 47.1 (332) | 12.9 (738) |
| Mother’s schooling (full years) | ||
| 0–4 | 40.5 (201) | 48.4 (2,765) |
| 5–8 | 48.9 (1,199) | 42.9 (2,453) |
| ≥ 9 | 55.3 (1,530) | 8.7 (496) |
| Household monthly income (quartiles) (n = 5,440) | ||
| First (lowest) | 48.1 (904) | 34.6 (1,880) |
| Second | 48.7 (728) | 27.5 (1,495) |
| Third | 55.0 (723) | 24.2 (1,315) |
| Quarter (highest) | 56.9 (427) | 13.8 (750) |
| Parity | ||
| 1 | 71.1 (1,567) | 38.6 (2,203) |
| 2 | 51.1 (1,042) | 35.7 (2,039) |
| ≥ 3 | 21.8 (321) | 25.8 (1,472) |
| Trimester of first antenatal care visit (n = 5,355) | ||
| First | 55.2 (2,116) | 71.5 (3,831) |
| Second | 47.5 (644) | 25.3 (1,357) |
| Third | 36.5 (106) | 3.1 (167) |
| Number of antenatal care visits performed | ||
| 0 or 1 | 30.5 (126) | 7.2 (413) |
| 3–5 | 46.2 (556) | 21.1 (1,203) |
| ≥ 6 | 54.9 (2,248) | 71.7 (4,098) |
| Induction of labor | ||
| Yes | 46.0 (1,563) | 59.5 (3,401) |
| No | 59.1 (1,367) | 40.5 (2,313) |
| Type of health services used for delivery | ||
| Public | 50.1 (2,695) | 94.2 (5,385) |
| Private | 71.4 (235) | 5.8 (329) |
| Use of forceps | ||
| Yes | 82.8 (275) | 5.8 (332) |
| No | 49.3 (2,655) | 94.2 (5,382) |
| Birth weight (in grams) (n = 5,706) | ||
| < 2,500 | 37.7 (237) | 11.0 (629) |
| 2,500–2,999 | 50.8 (701) | 24.2 (1,379) |
| 3,000–3,499 | 55.4 (1,273) | 40.3 (2,299) |
| 3,500–3,999 | 51.9 (601) | 20.3 (1,159) |
| ≥ 4,000 | 48.8 (117) | 4.2 (240) |
| Prevalence of episiotomy | 51.3 (2,930) | 100.0 (5,714) |
FigureOccurrence of episiotomy between 2007 and 2019. Rio Grande, RS, Brazil. (n = 5,714).
Crude and adjusted analysis for factors associated with episiotomy. Rio Grande, RS, Brazil, 2007–2019.
| Level | Variable | Prevalence ratio (95%CI) | |
|---|---|---|---|
|
| |||
| Crude | Adjusted | ||
| I | Mother’s age (full years) | p < 0.001a | p < 0.001a |
| 11–19 | 2.09 (1.78–2.45) | 2.23 (1.89–2.63) | |
| 20–24 | 1.66 (1.41–1.95) | 1.68 (1.42–1.97) | |
| 25–29 | 1.55 (1.31–1.82) | 1.54 (1.30–1.82) | |
| 30–34 | 1.36 (1.14–1.62) | 1.34 (1.12–1.61) | |
| ≥ 35 | 1.00 | 1.00 | |
| Skin color | p < 0.001 | p = 0.419 | |
| White | 1.13 (1.01–1.27) | 0.96 (0.89–1.05) | |
| Brown | 1.10 (0.96–1.25) | 0.93 (0.82–1.05) | |
| Black | 1.00 | 1.00 | |
| Mother’s schooling (full years) | p < 0.001a | p = 0.001a | |
| 0 to 4 | 1.00 | 1.00 | |
| 5 to 8 | 1.20 (1.04–1.40) | 1.04 (0.89–1.22) | |
| ≥ 9 | 1.36 (1.18–1.58) | 1.21 (1.03–1.42) | |
| Household monthly income (quartiles) | p < 0.001a | p = 0.001a | |
| First (lowest) | 1.00 | 1.00 | |
| Second | 1.01 (0.92–1.12) | 1.02 (0.92–1.12) | |
| Third | 1.14 (1.04–1.26) | 1.17 (1.05–1.29) | |
| Quarter (highest) | 1.18 (1.06–1.33) | 1.25 (1.10–1.41) | |
| II | Parity | p < 0.001a | p < 0.001a |
| 1 | 3.26 (2.89–3.68) | 3.41 (2.95–3.95) | |
| 2 | 2.34 (2.07–2.66) | 2.40 (2.10–2.76) | |
| ≥ 3 | 1.00 | 1.00 | |
| III | Performed antenatal care visits | p < 0.001 | p = 0.227 |
| Public sector | 1.00 | 1.00 | |
| Private sector | 1.22 (1.12–1.32) | 1.06 (0.96–1.18) | |
| Trimester of the first antenatal visit (n = 5,355) | p < 0.001a | p = 0.207 | |
| First | 1.51 (1.17–1.95) | 1.25 (0.95–1.65) | |
| Second | 1.30 (1.00–1.69) | 1.18 (0.90–1.55) | |
| Third | 1.00 | 1.00 | |
| Number of medical visits performed | p < 0.001 | p = 0.957 | |
| 0–1 | 1.00 | 1.00 | |
| 2–5 | 1.52 (1.25–1.84) | 1.04 (0.70–1.52) | |
| ≥ 6 | 1.80 (1.50–2.15) | 1.02 (0.69–1.51) | |
| Type of health services used for delivery: | p < 0.001 | p = 0.004 | |
| Public | 1.00 | 1.00 | |
| Private | 1.43 (1.25–1.64) | 1.25 (1.07–1.46) | |
| IV | Induction of labor | p < 0.001 | p < 0.001 |
| Yes | 1.29 (1.20–1.38) | 1.18 (1.09–1.27) | |
| No | 1.00 | 1.00 | |
| Use of forceps | p < 0.001 | p = 0.009 | |
| Yes | 1.68 (1.48–1.90) | 1.32 (1.16–1.50) | |
| No | 1.00 | 1.00 | |
| Birth weight (in grams) (n = 5,706) | p < 0.001a | p = 0.001a | |
| < 2,500 | 1.00 | 1.00 | |
| 2,500–2,999 | 1.35 (1.16–1.56) | 1.29 (1.11–1.50) | |
| 3,000–3,499 | 1.47 (1.28–1.69) | 1.38 (1.19–1.59) | |
| 3,500–3,999 | 1.38 (1.18–1.60) | 1.40 (1.20–1.63) | |
| ≥ 4,000 | 1.29 (1.04–1.61) | 1.43 (1.14–1.80) | |
a Wald test for heterogeneity.