| Literature DB >> 35869510 |
Samuel Hailegebreal1, Girma Gilano2, Binyam Tariku Seboka3, Habile Sidelil4, Shekur Mohammed Awol5, Yosef Haile6, Atsedu Endale Simegn7, Firehiwot Haile6.
Abstract
BACKGROUND: Early sexual initiation is one of the risky sexual practices. Early sexual beginning is associated with an increased risk of HIV/AIDS, sexually transmitted infections (STIs), unexpected pregnancies, unsafe abortion, premature deliveries, and psychosocial issues. However, there is still a lack of evidence, particularly in East Africa, where community-level factors are not investigated. Therefore, this study aimed to estimate the pooled prevalence and to identify associated factors of early sexual initiation among female youth in Eastern Africa.Entities:
Keywords: Early sexual initiation; East Africa; Female youth
Mesh:
Year: 2022 PMID: 35869510 PMCID: PMC9306043 DOI: 10.1186/s12905-022-01895-8
Source DB: PubMed Journal: BMC Womens Health ISSN: 1472-6874 Impact factor: 2.742
Socio-demographic characteristics of study participant
| Variables | Weighted frequency | Percent |
|---|---|---|
| Age | ||
| 15–19 | 9606 | 19.32 |
| 20–24 | 40,110 | 80.68 |
| Age at cohabitation | ||
| < 15 | 11,623 | 23.38 |
| 15–19 | 31,619 | 63.60 |
| 20–24 | 6474 | 13.02 |
| Reading newspaper | ||
| No | 40,489 | 81.44 |
| Yes | 9227 | 18.56 |
| Listing radio | ||
| No | 19,891 | 40.01 |
| Yes | 29,825 | 59.99 |
| Watching TV | ||
| No | 35,503 | 71.41 |
| Yes | 14,213 | 28.59 |
| Place of residence | ||
| Urban | 11,443 | 23.02 |
| Rural | 38,273 | 76.98 |
| Educational level | ||
| No-education | 7676 | 15.44 |
| Primary | 28,764 | 57.86 |
| Secondary and above | 13,276 | 26.70 |
| Marital status | ||
| Single | 19,269 | 38.76 |
| Married | 30,447 | 61.24 |
| Wealth index | ||
| Poor | 23,646 | 47.56 |
| Middle | 9668 | 19.45 |
| Rich | 16,402 | 32.99 |
| Working status | ||
| No | 23,875 | 48.02 |
| Yes | 25,841 | 51.98 |
| Contraceptive use | ||
| No | 29,330 | 59.00 |
| Yes | 20,386 | 41.00 |
| Country | ||
| Burundi | 5429 | 10.92 |
| Ethiopia | 2425 | 4.88 |
| Kenya | 11,142 | 22.41 |
| Comoros | 1460 | 2.94 |
| Madagascar | 4091 | 8.23 |
| Malawi | 6280 | 12.63 |
| Mozambique | 3841 | 7.73 |
| Rwanda | 1552 | 3.12 |
| Tanzania | 3114 | 6.26 |
| Uganda | 5092 | 10.24 |
| Zambia | 3375 | 6.79 |
| Zimbabwe | 1916 | 3.85 |
Figure. 1Prevalence of early sexual initiation among youth in eastern Africa countries
Multilevel binary logistic regression analysis of factors associated with early sexual initiation in East Africa
| Variables | Null-Model | Model-I | Model-II | Model-III |
|---|---|---|---|---|
| Age | ||||
| 15–19 | 1 | 1 | ||
| 20–24 | 0.60 [0.56–0.63]** | 0.65 [0.61–0.69]** | ||
| Age at cohabitation | ||||
| < 15 | 14 [12.75–16.02]** | 13.4 [11.9–15.0]** | ||
| 15–19 | 1.50 [1.35–1.67]** | 1.38 [1.23–1.53]** | ||
| 20–24 | 1.50 [1.84–2.08]* | 1 | ||
| Marital status | ||||
| Single | 1 | 1 | ||
| Married | 1.96 [1.84–2.08] | 1.86 [1.73–1.97]* | ||
| Working status | ||||
| No | 1 | 1 | ||
| Yes | 0.89 [0.85–0.94] | 1.02 [0.95–1.08] | ||
| Wealth index | ||||
| Poor | 1 | 1 | ||
| Middle | 0.81 [0.75–0.87] | 0.79 [0.73–0.85]* | ||
| Rich | 0.81 [0.74–0.85] | 0.76 [0.70–0.82]* | ||
| Educational status | ||||
| No education | 1 | 1 | ||
| Primary | 0.76 [0.71–0.82]* | 0.73 [0.67–0.78]** | ||
| Secondary and above | 0.31 [0.28–0.34]* | 0.31 [0.27–0.33]** | ||
| Reading newspaper | ||||
| No | 1 | 1 | ||
| Yes | 0.78 [0.72–0.85] ** | 0.77 [0.71–0.83]** | ||
| Listing radio | ||||
| No | 1 | 1 | ||
| Yes | 1.04[0.98–1.10] | 0.95[0.89–1.01] | ||
| Watching TV | ||||
| No | 1 | 1 | ||
| Yes | 1.01 [0.94–1.08] | 0.94 [0.87–1.01] | ||
| Contraceptive use | ||||
| No | 1 | 1 | ||
| Yes | 1.07 [1.01–1.13]* | 1.20 [1.12–1.26]** | ||
| Place of residence | ||||
| Rural | 1 | 1 | ||
| Urban | 0.76 [0.72–0.81] | 1.16 [1.07–1.26]** | ||
| Country | ||||
| Burundi | 1.57 [1.17–2.10]** | 1.8 [1.34–2.47]** | ||
| Ethiopia | 7.7 [5.80–10.26]** | 4.8 [3.56–6.61]** | ||
| Kenya | 7.9 [6.01–10.43]** | 7.6 [5.66–10.14]** | ||
| Comoros | 9.8[7.29–13.19]** | 7.5 [5.45–10.44]** | ||
| Madagascar | 13 [10.02–17.40]** | 9.9 [7.40–13.29]** | ||
| Malawi | 6.2 [4.69–8.15]** | 6.3 [4.66–8.37]** | ||
| Mozambique | 15 [11.77–20.45]** | 17 [12.78–22.96]** | ||
| Rwanda | 1 | 1 | ||
| Tanzania | 6 [4.61–8.13]** | 7.7 [5.67–10.31]** | ||
| Uganda | 6.8 [5.13–8.92]** | 9.4 [6.99–12.49]** | ||
| Zambia | 8 [6.15–10.75]** | 7.30 [5.43–9.83]** | ||
| Zimbabwe | 2.4 [1.76–3.30]** | 3.14 [2.24–4.40]** | ||
| Random effect | ||||
| Community variance | 0.72 | 0.69 | 0.68 | 0.66 |
| ICC% | 18.05% | 17.14% | 17.26% | 16.89% |
| MOR | 2.20 | 2.14 | 2.13 | 2.09 |
| Model comparison | ||||
| Log likelihood | −25,312.34 | −20,697.13 | −24,127.53 | −19,906.35 |
| Deviance | 50,624.68 | 41,394.26 | 48,255.06 | 39,812.70 |
*Key: 1: Reference group; p-value 0.05–0.01 *: p-value < 0.01 **