| Literature DB >> 32322418 |
Amaya Aura Linda1, Florence Kyallo1, Judith K Okoth1, Peter Kahenya1, Anselimo Makokha1, Daniel Sila1, John Mwai2.
Abstract
More than half of the morbidity and mortality cases among children in Kenya are as a result of micronutrient deficiencies (MNDs). Food fortification is considered by the Government of Kenya as a feasible strategy for addressing MNDs. Worldwide, fortification has been proven to be effective since it does not require any change in dietary habits. Success of large-scale food fortification however may depend on consumer awareness of the fortification benefits. A cross-sectional study was conducted in 13 counties to collect information on fortification awareness using structured questionnaires. 1435 respondents were selected using the Lot Quality Assurance Sampling method. Data were analyzed using Stata version 14.0 and statistical significance p < 0.05. The study participants were described using descriptive statistics. The association of sociodemographic characteristics and awareness of fortification was performed using binary logistic regression analysis. The median age of the study participants was 35 years. Only 28% of the respondents were aware of the term "fortification." Of the respondents, about 27% heard of food fortification through radio. Vernacular radio emerged as the most preferred channel for communicating fortification information among 24.9% of the respondents. Although awareness of vitamins (32%) and minerals (1.5%) was limited, most (76%) respondents reported of existence of health risks for lacking micronutrients. Awareness of food fortification was significantly associated with respondents' occupation (p < 0.001), household size (p=0.012), education levels (p < 0.001), and age (p=0.025). There is need for a wider use of broadcast media sources to modify information and education materials to promote fortification awareness among Kenyan consumers.Entities:
Year: 2020 PMID: 32322418 PMCID: PMC7166277 DOI: 10.1155/2020/8486129
Source DB: PubMed Journal: J Nutr Metab ISSN: 2090-0724
Respondents' county of residence selected in the study.
| County of residence | Number of households ( | Percentage |
|---|---|---|
| Kakamega | 84 | 5.9 |
| Kilifi | 106 | 7.4 |
| Kisumu | 120 | 8.4 |
| Mombasa | 85 | 5.9 |
| Nakuru | 78 | 5.4 |
| Narok | 57 | 4.0 |
| Trans-Nzoia | 131 | 9.1 |
| Uasin-Gishu | 40 | 2.7 |
| Nairobi | 157 | 10.9 |
| Nyandarua | 120 | 8.4 |
| Meru | 54 | 10.7 |
| Kitui | 142 | 9.9 |
| Garissa | 161 | 11.2 |
Sociodemographic characteristics of the households.
| Characteristics | Overall | Female, | Male, |
|---|---|---|---|
|
| |||
| 15–17 | 18 (1.3) | 14 (1.0) | 4 (0.3) |
| 18–24 | 207 (14.4) | 164 (11.4) | 43 (3.0) |
| 25–34 | 472 (32.9) | 383 (26.7) | 89 (6.2) |
| 35–49 | 464 (32.3) | 352 (24.5) | 112 (7.8) |
| >50 | 274 (19.1) | 184 (12.8) | 90 (6.3) |
|
| |||
| No formal education | 145 (10.1) | 100 (7.0) | 45 (3.1) |
| Primary | 707 (49.3) | 539 (37.6) | 168 (11.7) |
| Secondary | 436 (30.4) | 349 (24.3) | 87 (6.1) |
| Tertiary | 147 (10.2) | 109 (7.6) | 38 (2.6) |
|
| |||
| Married | 1057 (73.7) | 968 (67.5) | 89 (6.2) |
| Divorced/separated | 67 (4.7) | 14 (1.0) | 53 (3.7) |
| Widowed | 116 (8.1) | 16 (1.1) | 100 (7.0) |
| Single | 195 (13.6) | 99 (6.9) | 96 (6.7) |
|
| |||
| 1-2 dependents | 150 (10.5) | — | — |
| 3-4 dependents | 498 (34.7) | — | — |
| 5-6 dependents | 409 (28.5) | — | — |
| >7 dependents | 378 (26.3) | — | — |
|
| |||
| Self-employed | 574 (40.0) | 420 (29.3) | 154 (10.7) |
| Formal employment | 124 (8.6) | 93 (6.5) | 31 (2.1) |
| Casual labor | 208 (14.5) | 139 (9.7) | 69 (4.8) |
| Housewife/husband | 331 (23.1) | 289 (20.1) | 42 (3.0) |
| Others | 198 (13.8) | 156 (10.9) | 42 (2.9) |
| House head gender | 1435 (100) | 344 (24.0) | 1091 (76.0) |
|
| |||
| No formal education | 147 (10.2) | 61 (4.2) | 86 (6.0) |
| Primary | 642 (44.7) | 169 (11.7) | 473 (33.0) |
| Secondary | 457 (31.9) | 76 (5.3) | 381 (26.6) |
| Tertiary | 189 (13.2) | 32 (2.3) | 157 (10.9) |
|
| |||
| Self-employed | 588 (41.0) | 158 (11.0) | 430 (30.0) |
| Formal employed | 256 (17.8) | 29 (2.0) | 227 (15.8) |
| Casual labour | 340 (23.7) | 66 (4.6) | 274 (19.1) |
| Housewife/husband | 100 (7.0) | 42 (3.0) | 58 (4.0) |
| Others | 151 (10.5) | 43 (3.0) | 108 (7.5) |
Association of the respondents' sociodemographic characteristics and awareness of food fortification.
| Awareness of food fortification | COR (CI 95%) |
| AOR (CI 95%) |
| ||
|---|---|---|---|---|---|---|
| Respondents aware, | Respondents not aware, | |||||
|
| ||||||
| Male | 107 (32.9) | 218 (67.1) | Ref. | Ref. | ||
| Female | 294 (26.5) | 816 (73.5) | 0.7(0.6–1.0) | 0.023 | 0.8 (0.6–1.1) | 0.198 |
|
| ||||||
| <18 | 8 (44.4) | 10 (55.6) | Ref. | Ref. | ||
| 18–24 | 52 (25.1) | 155 (74.9) | 0.4 (0.2–1.1) | 0.083 | 0.3 (0.1–0.9) | 0.025 |
| 25–34 | 154 (32.6) | 318 (67.4) | 0.6 (0.2–1.6) | 0.300 | 0.5 (0.2–1.3) | 0.146 |
| 35–49 | 128 (27.6) | 336 (72.4) | 0.5 (0.2–0.9) | 0.127 | 0.4 (0.2–1.2) | 0.107 |
| >50 | 59 (21.5) | 215 (78.5) | 0.3 (0.1–0.9) | 0.031 | 0.3 (0.1–0.9) | 0.042 |
|
| ||||||
| No formal education | 24 (16.6) | 121 (83.5) | Ref. | Ref. | ||
| Primary | 159 (22.5) | 548 (77.5) | 1.5 (0.9–2.3) | 0.114 | 1.3 (0.8–2.1) | 0.270 |
| Secondary | 152 (34.9) | 284 (65.1) | 2.7 (1.7–4.4) | <0.0001 | 2.3 (1.4–3.8) | 0.002 |
| Tertiary | 66 (44.9) | 81 (55.1) | 4.1 (2.4–7.1) | <0.0001 | 3.2 (1.7–5.8) | <0.0001 |
|
| ||||||
| Single | 57 (29.2) | 138 (70.8) | Ref. | Ref. | ||
| Married | 305 (28.9) | 752 (71.1) | 1.0(0.7–1.4) | 0.915 | 1.2 (0.8–1.9) | 0.294 |
| Divorced/separated | 12 (17.9) | 55 (82.1) | 0.5(0.3–1.1) | 0.073 | 0.7 (0.3–1.5) | 0.330 |
| Widowed | 27 (23.3) | 89 (76.7) | 0.7(0.4–1.2) | 0.254 | 1.3 (0.7–2.4) | 0.443 |
|
| ||||||
| 1-2 dependents | 47 (31.3) | 103 (68.7) | Ref. | Ref. | ||
| 3-4 dependents | 145 (29.1) | 353 (70.9) | 0.9 (0.6–1.3) | 0.602 | 0.9 (0.6–1.4) | 0.593 |
| 5-6 dependents | 130 (31.8) | 279 (68.2) | 1.0 (0.7–1.5) | 0.919 | 1.0 (0.7–1.6) | 0.867 |
| >7 dependents | 79 (20.9) | 299 (79.1) | 0.6 (0.4–0.9) | 0.012 | 0.7 (0.4–1.1) | 0.100 |
|
| ||||||
| Housewife/husband | 83 (25.1) | 248 (74.9) | Ref. | Ref. | ||
| Self-employed | 156 (27.2) | 418 (72.8) | 1.1 (0.8–1.5) | 0.490 | 1.0 (0.7–1.3) | 0.827 |
| Formal employment | 53 (42.7) | 71 (57.3) | 2.2 (1.4–3.4) | <0.0001 | 1.3 (0.8–2.1) | 0.312 |
| Casual labor | 51 (24.5) | 157 (75.5) | 1.0 (0.6–1.5) | 0.884 | 1.0 (0.7–1.5) | 0.861 |
| Others | 58 (29.3) | 140 (70.7) | 1.2 (0.8–1.8) | 0.289 | 1.2 (0.7–1.8) | 0.519 |
Figure 1Sources of food fortification information.
Figure 2Respondents' preferred channels for communicating food fortification.
Figure 3Respondents' awareness of health risks for lacking micronutrients.