| Literature DB >> 24238643 |
Allan R Were, Felix N Kioli, Kennedy Onkware, Elizabeth O Onyango, Sussy Gumo, Collins Ouma1.
Abstract
BACKGROUND: The effects of malnutrition on health status and survival of children has been the subject of extensive research for several decades. Malnutrition affects physical growth, cognitive development of children, morbidity and mortality. The current study was an exploratory survey that focused on factors affecting feeding of nursery school children as perceived by their mothers in a rural setting in Usigu Division of Bondo County, Kenya.Entities:
Mesh:
Year: 2013 PMID: 24238643 PMCID: PMC3842824 DOI: 10.1186/1472-698X-13-47
Source DB: PubMed Journal: BMC Int Health Hum Rights ISSN: 1472-698X
Frequencies of the demographic characteristics of the mothers and their association with management of feeding practices in children
| | | | | |
| Single | 5 (4.63) | 1.00 | | |
| Married | 87 (80.55) | 0.34 | 0.21 – 0.76 | 0.022 |
| Widowed | 15 (13.89) | 1.26 | 0.88 – 2.35 | 0.061 |
| Divorced | 1 (0.93) | NA | | |
| | | | | |
| None | 9 (8.33) | 1.00 | | |
| 1-4 years | 10 (9.26) | 7.33 | 3.37 – 12.91 | 0.023 |
| 5-8 years | 56 (51.85) | 5.20 | 2.65 – 7.89 | 0.031 |
| ≥9 years | 33 (30.56) | 3.88 | 1.76 – 6.55 | 0.039 |
| | | | | |
| 18-24 years | 15 (13.89) | 1.00 | | |
| 25-29 years | 32 (29.63) | 6.04 | 3.22 – 9.68 | 0.029 |
| 30-34 years | 27 (25.00) | 4.28 | 2.09 – 7.49 | 0.041 |
| 35-39 years | 13 (12.04) | 3.01 | 1.88 – 5.72 | 0.044 |
| 40-44 years | 11 (10.18) | 1.99 | 1.02 – 3.23 | 0.046 |
| ≥45 years | 10 (9.26) | 1.01 | 0.99 – 2.54 | 0.055 |
| | | | | |
| Salaried | 15 (13.89) | 1.00 | | |
| Farming | 39 (36.11) | 1.44 | 1.01 – 2.32 | 0.034 |
| Business | 54 (50.00) | 4.02 | 2.11 – 7.85 | 0.027 |
Values are n (%). OR = Odd Ratio; 95% CI = 95% Confidence Interval. Logistic regression analyses were performed using the first category in each of the demographic characteristic as the reference group. Bad management of feeding was the dependent variable while all other factors were the independent variables in the logistic regression models.
Frequencies of children eating habits as stratified by mother’s age
| 15-29 | 15 (40.54) | 7 (43.75) | 13 (61.91) | 3 (33.3) | 9 (36) | 47 (43.52) |
| 30-39 | 13 (35.13) | 7 (43.75) | 6 (28.57) | 4 (44.45) | 10 (40.00) | 40 (37.04) |
| ≥40 | 7 (18.92) | 2 (12.05) | 2 (9.52) | 2 (22.22) | 5 (18.00) | 18 (16.66) |
| NS | 2 (5.41) | 0 (0.00) | 0 (0.00) | 0 (0.00) | 1 (3.00) | 3 (2.78) |
| Total | 37 | 16 | 21 | 9 | 25 | 108 |
Table legend: Results are presented as n (%). SM = Stepmothers, GM = Grandmothers, NS = Not specified.
Frequencies of the order of being served food within the household and their association with management of feeding practices in children
| Father | 25 (23.15) | | | |
| Children | 43 (39.81) | 0.22 | 0.14 – 0.61 | 0.011 |
| Together | 36 (33.33) | 0.73 | 0.43 – 0.92 | 0.019 |
| No Response | 4 (3.71) | N/A | | |
Values are n (%). OR = Odd Ratio; 95% CI = 95% Confidence Interval. Logistic regression analyses were performed using the first category in each of the 'Persons being served’ as the reference group. N/A = Not applicable. Bad management of feeding was the dependent variable while all other factors were the independent variables in the logistic regression models.