| Literature DB >> 29695264 |
Samuel Mersha Birru1, Amare Tariku2, Aysheshim Kassahun Belew3.
Abstract
BACKGROUND: Undiversified diet increases the vulnerability of adolescents for different nutritional problems. Therefore, this study assessed dietary and associated factors among school adolescent girls in Gondar city, northwest Ethiopia.Entities:
Keywords: Dietary diversity; Ethiopia; School adolescent girls
Mesh:
Year: 2018 PMID: 29695264 PMCID: PMC5918967 DOI: 10.1186/s13052-018-0490-0
Source DB: PubMed Journal: Ital J Pediatr ISSN: 1720-8424 Impact factor: 2.638
Socio-demographic characteristics of school adolescent girls and their parents, Gondar City Administration, northwest Ethiopia, 2017 (n = 768)
| Variables | Frequency | Percent | |
|---|---|---|---|
| Age | Early | 130 | 16.9 |
| Middle | 402 | 52.3 | |
| Late | 236 | 30.7 | |
| Level of education | Primary | 287 | 37.4 |
| High school | 417 | 54.3 | |
| Preparatory school | 64 | 8.3 | |
| Place of residence | Urban | 717 | 93.4 |
| Rural | 51 | 6.6 | |
| Occupation of mother | Government employee | 124 | 16.1 |
| Housewife | 482 | 62.8 | |
| Daily laborer | 39 | 5.1 | |
| Merchant | 83 | 10.8 | |
| Others | 40 | 5.2 | |
| Media exposure | Exposed | 608 | 79.2 |
| Not exposed | 160 | 20.8 | |
| Food security | Secured | 485 | 63.2 |
| In secured | 283 | 36.8 | |
| Family wealth status | Rich | 239 | 31.1 |
| Middle | 287 | 37.4 | |
| Poor | 242 | 31.5 | |
| Maternal education | Unable to read and write | 427 | 55.6 |
| Primary | 117 | 15.2 | |
| Secondary | 123 | 16 | |
| College and above | 101 | 13.2 | |
| Father’s education | Unable to read and write | 370 | 48.2 |
| Primary | 96 | 12.5 | |
| Secondary | 125 | 16.3 | |
| College and above | 177 | 23 | |
Environmental characteristics of school adolescent girls in Gondar City Administration, Northwest Ethiopia, 2017
| Variables | Frequency | Percent | |
|---|---|---|---|
| Availability of home gardening | Yes | 123 | 16.0 |
| No | 645 | 84.0 | |
| Source of drinking water | Improved | 756 | 98.4 |
| Unimproved | 12 | 1.6 | |
| Wate water treatment | yes | 572 | 74.5 |
| No | 196 | 25.5 | |
| Availability of home latrine | yes | 607 | 79.0 |
| No | 161 | 21.0 | |
| Hand washing after toilet | Yes | 757 | 98.6 |
| No | 11 | 1.4 | |
Fig. 1Types of food groups consumed among adolescent girls in Gondar City, Northwest, Ethiopia, 2017
Bivariate and multivariable logistic regression output showing that factors associated with dietary diversityamong school adolescent girls, Gondar City Administration, northwest Ethiopia, 2017
| Variables | Dietary diversity | Crude Odds Ratio with 95% C) | Adjusted Odds Ratio with 95% CI | |
|---|---|---|---|---|
| Adequate | Not adequate | |||
| Age of adolescent | ||||
| Early | 90 (69.2%) | 40 (30.8%) | 1 | 1 |
| Middle | 216 (53.7%) | 186 (46.3%) | 0.52 (0.34,0.79) | 1.25 (0.71,2.20) |
| Late | 93 (39.4%) | 143 (60.6%) | 0.29 (0.18,0.46) | 1.01 (0.51,2.01) |
| School type | ||||
| Government | 280 (45.8%) | 332 (54.2%) | 1 | 1 |
| Private | 119 (76.3%) | 37 (23.7%) | 3.81 (2.55,5.70) | 3.17 (1.90,5.28)a |
| Educational status of father | ||||
| Informal education | 173 (46.8%) | 197 (53.2%) | 1 | 1 |
| Primary | 44 (49.9%) | 52 (46.1%) | 0.96 (0.61,1.51) | 0.81 (0.50,1.31) |
| Secondary | 77 (61.6%) | 48 (38.4%) | 1.83 (1.20,2.76) | 1.27 (0.77,2.09) |
| College and above | 105 (59.3%) | 72 (40.7%) | 1.66 (1.12,2.39) | 0.98 (0.60,1.64) |
| Educational status of mothers | ||||
| Informal education | 193 (45.2%) | 234 (54.8%) | 1 | 1 |
| Primary | 69 (59%) | 48 (41%) | 1.74 (1.15,2.64) | 1.24 (0.78,1.96) |
| Secondary | 72 (58.5%) | 51 (41.5%) | 1.71 (1.14,2.57) | 1.05 (0.62,1.79) |
| College and above | 65 (64.4%) | 36 (35.6%) | 2.19 (1.40,3.43) | 1.38 (0.69,2.76) |
| Occupation of the mothers | ||||
| Government employee | 69 (55.6%) | 55 (44.4%) | 1.39 (0.68,2.83) | 1.61 (0.74,3.53) |
| Housewife | 241 (50%) | 241 (50%) | 1.10 (0.58,2.11) | 1.65 (0.81,3.33) |
| Daily laborer | 17 (43.6%) | 22 (56.4%) | 0.85 (0.35,2.07) | 1.26 (0.49,3.29) |
| Merchant | 53 (63.9%) | 30 (36.1%) | 1.95 (0.91,4.20) | 2.42 (1.06,5.53) |
| Others | 19 (47.5%) | 21 (52.5%) | 1 | 1 |
| Wealth status | ||||
| 1st quintile | 75 (45.5%) | 90 (54.5%) | 0.52(0.34,0.79) | 0.78 (0.47,1.29) |
| 2nd quintile | 100 (47.2%) | 112 (52.8%) | 0.55 (0.37,0.82) | 0.80 (0.51,1.25) |
| 3rd quintile | 106 (53%) | 94 (47%) | 0.70 (0.47,1.04) | 0.85 (0.54, 1.31) |
| 4th quintile | 118 (61.8%) | 73 (38.2%) | 1 | 1 |
| Availability of latrine | ||||
| Yes | 324 (53.4%) | 283 (46.6%) | 1.31 (0.93,1.86) | 0.88 (0.60,1.32) |
| No | 75 (46.6%) | 86 (53.4%) | 1 | 1 |
| Stunting | ||||
| Stunted | 115 (44.4%) | 144 (55.6%) | 1 | 1 |
| Normal | 284 (55.8%) | 225 (44.2%) | 1.58 (1.17, 2.14) | 1.00 (0.70, 1.42 |
| Residence | ||||
| Urban | 380 (53%) | 337 (47%) | 1.90 (1.06, 3.41) | 2.00 (0.84, 3.01)a |
| Rural | 19 (37.3%) | 32 (62.7%) | 1 | 1 |
| Respondents educational status | ||||
| 5–8 | 184 (64.1%) | 103 (35.9%) | 1 | 1 |
| 9–10 | 197 (47.2%) | 220 (52.8%) | 0.50 (0.37, 0.68) | 0.69 (0.46, 1.03) |
| 11–12 | 18 (28.5%) | 46 (71.9%) | 0.22 (0.12, 0.40) | 0.23 (0.11, 0.50) |
aindicate significant at p value less than 0.05 in multivariable logistic analysis