| Literature DB >> 28510596 |
Fentaw Wassie Feleke1, Anchamo Anato Adole2, Afework Mulugeta Bezabih3.
Abstract
Growth monitoring and promotion (GMP) is a prevention activity comprised of growth monitoring (GM) linked with promotion that serves as the core activity in an integrated child health and nutrition program. However, different methods of institutional studies have shown that utilization of GM services has remained to be inadequate. There is scarcity of studies conducted about GMP in quantitative method. Therefore, this study was conducted to address the proportion of GMP services and associated factors among children under two years of age in rural communities of Mareka district, Southern Ethiopia. Community based cross-sectional survey was conducted from August to September 2015. Single population proportion formula was used to determine the sample size with multi stage sampling technique. A total of 819 children under two years of age were included. Pretest was done on 10% of the total sample size. Data were analyzed using SPSS version 20.0 software. Bivariate and multivariate logistic regressions used to analyze data. The response rate was 95%. Utilization of GMP services was 16.9%. Institutional delivery AOR (95% CI): 3.01(1.65-5.50), index child age 12-17 months AOR (95% CI): 4.03(2.16-7.51) and 18-23 months AOR (95% CI): 3.08(1.70-5.57), family size 4-5 AOR(95% CI): 0.14(0.06-0.33), family size >5 AOR(95% CI): 0.34(0.14-0.82), regular GMP attendance AOR (95% CI): 4.37(2.45-7.80), medium wealth index AOR(95% CI): 3.14(1.51-6.52) and high wealth index AOR(95% CI): 3.24(1.59-6.62) were factors associated with utilization of GMP services. Utilization of GMP services was low. Thus, efforts should be made to improve utilization of GMP services through promotion of institutional delivery, different family planning methods, and regular GMP attendance.Entities:
Mesh:
Year: 2017 PMID: 28510596 PMCID: PMC5433735 DOI: 10.1371/journal.pone.0177502
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Sociodemographic and reproductive characteristics of study participants in rural areas of Mareka district, Southern Ethiopia, 2016 (n = 782).
| Variables | n | % | |
|---|---|---|---|
| Maternal education | No formal education | 415 | 53.1 |
| Primary | 243 | 31 | |
| Secondary and above | 124 | 15.9 | |
| Mothers ethnicity | Dawro | 744 | 95.1 |
| Others | 38 | 4.9 | |
| Religion of mothers | Protestant | 723 | 92.5 |
| Others | 59 | 7.5 | |
| Occupation of mothers | Housewives | 747 | 95.5 |
| Others | 35 | 4.5 | |
| Marital status of mothers | Currently Married | 773 | 98.8 |
| Previously married | 9 | 1.2 | |
| Paternal education | No formal education | 358 | 45.8 |
| Primary | 289 | 37 | |
| Secondary and above | 135 | 17.2 | |
| Place of delivery | Home | 563 | 72 |
| Health institution | 219 | 28 | |
| Household family size | Mean ± SD | (5.06±1.35) | |
| <4 | 59 | 7.5 | |
| 4–5 | 463 | 59.2 | |
| >5 | 260 | 33.3 | |
| Birth order | Mean ± SD | (2.06±0.95) | |
| 1 | 221 | 28.3 | |
| 2–3 | 482 | 61.6 | |
| >3 | 79 | 10.1 |
aWolaita/Konta/Amhara
bCattholic/Orthodox
cTrader/Student/employee
dDivorced/widowed.
Community conversation for mothers/caregivers with children 0–23 months in rural areas of Mareka district, Southern Ethiopia, 2016 (n = 782).
| Variables | n | % | |
|---|---|---|---|
| Community conversation on utilization of GMP services | Yes | 213 | 27.2 |
| No | 447 | 57.2 | |
| I do not know | 122 | 15.6 | |
| Participation of mothers in community conversation | Yes | 97 | 45.5 |
| No | 116 | 54.5 | |
| Community conversation frequency on GMP | Regular | 32 | 33 |
| Irregular | 65 | 67 | |
| Nutrition and health learning materials during community conversation of GMP | Family health card | 80 | 82.5 |
| Nutrition and healthy leaflets | 62 | 63.9 | |
| Not utilized | 13 | 2 | |
Fig 1Reasons for missing utilization of GMP sessions in rural area of Mareka District, Southern Ethiopia, 2016 (n = 405).
Fig 2Main source of messages for utilization of GMP services in rural area of Mareka District, Southern Ethiopia, 2016 (n = 782).
Predictors of GMP services utilization among children 0–23 months of age in rural communities of Mareka district, Southern Ethiopia, 2016 (n = 782).
| GMP utilization | 95% CI | |||||
|---|---|---|---|---|---|---|
| Yes | No | COR | AOR | |||
| Maternal age | <30 years | 53 | 314 | 1 | 1 | |
| ≥30 years | 79 | 336 | 1.39(0.95–2.04) | 1.26(0.67–2.38) | 0.472 | |
| Paternal age | <30 years | 23 | 173 | 1 | 1 | |
| ≥30 years | 109 | 477 | 1.72(1.06–2.78) | 1.71(0.83–3.54) | 0.147 | |
| Counselling | Yes | 70 | 203 | 1 | 1 | |
| No | 62 | 477 | 2.49(1.70–3.64) | 1.52(0.95–2.44) | 0.082 | |
| GMP frequency | Regular | 113 | 320 | 6.13(3.68–10.21) | 4.37(2.45–7.80) | 0.001 |
| Irregular | 19 | 330 | 1 | 1 | ||
| FHC utilization | Yes | 90 | 325 | 2.14(1.44–3.19) | 1.48(0.89–2.45) | 0.133 |
| No | 42 | 325 | 1 | 1 | ||
| Utilization of ANC services | Yes | 90 | 332 | 2.05(1.38–3.05) | 1.38(0.82–2.31) | 0.225 |
| No | 42 | 318 | 1 | 1 | ||
| Delivery place | Home | 59 | 504 | 1 | 1 | |
| Health inst | 73 | 146 | 4.27(2.89–6.31) | 3.01(1.65–5.50) | 0.001 | |
| Utilization of PNC services | Yes | 87 | 272 | 2.69(1.8–3.98) | 0.97(0.52–1.81) | 0.917 |
| No | 45 | 378 | 1 | 1 | ||
| Index children age | 0–11 months | 27 | 335 | 1 | 1 | |
| 12–17 months | 48 | 147 | 4.05(2.43–6.75) | 4.03(2.16–7.51) | <0.0001 | |
| 18-23months | 57 | 168 | 4.20(2.57–6.90) | 3.08(1.70–5.57) | <0.0001 | |
| Family size | <4 | 21 | 38 | 1 | 1 | |
| 4–5 | 51 | 412 | 0.22(0.12–0.41) | 0.14(0.06–0.33) | <0.0001 | |
| >5 | 60 | 200 | 0.54(0.30–1.00) | 0.34(0.14–0.82) | 0.017 | |
| Maternal education | No formal | 37 | 378 | 1 | 1 | |
| Primary | 54 | 189 | 2.92(1.86–4.59) | 1.82(0.99–3.51) | 0.050 | |
| ≥Secondary | 41 | 83 | 5.05(3.05–8.35) | 1.78(0.87–3.63) | 0.112 | |
| Paternal education | No formal | 34 | 324 | 1 | 1 | |
| Primary | 63 | 226 | 2.66(1.69–4.17) | 1.42(0.74–2.71) | 0.291 | |
| ≥Secondary | 35 | 100 | 3.34(1.98–5.62) | 1.30(0.61–2.77) | 0.495 | |
| Wealth index | Low | 13 | 245 | 1 | 1 | |
| Medium | 51 | 212 | 4,53(2.40–8.57) | 3.14(1.51–6.52) | 0.002 | |
| High | 68 | 193 | 6.64(3.56–12.38) | 3.24(1.59–6.62) | 0.001 | |
*P_ value < 0.017
***P_value < 0.002
****P_value <0.001
**P_value < 0.001, COR: Crude odds ratio, AOR: Adjusted odds ratio by using binary and multivariable logistic regression.