| Literature DB >> 31885910 |
S Dajaan Dubik1, Kingsley E Amegah2, Amshawu Alhassan3, Louis N Mornah1, Loveland Fiagbe4.
Abstract
BACKGROUND: In Ghana, anaemia is a severe public health problem among adolescent girls. In an attempt to deal with this phenomenon, Ghana Ministry of Health in collaboration with other development partners developed and launched weekly iron and folic acid supplementation program for adolescent girls in Ghanaian junior high schools. Therefore, the main aim of this study was to determine the level of compliance with iron and folic acid supplementation (IFAS) and its associated factors among adolescent girls in the Tamale Metropolis of Ghana.Entities:
Year: 2019 PMID: 31885910 PMCID: PMC6927017 DOI: 10.1155/2019/8242896
Source DB: PubMed Journal: J Nutr Metab ISSN: 2090-0724
Sociodemographic characteristics of respondents.
| Variables | Frequency, | Percent (%) |
|---|---|---|
| Mean age (SD) | 14.4 (1.7) | |
|
| ||
| Age group (years) | ||
| 10–15 | 338 | 79.7 |
| 16–20 | 86 | 20.3 |
|
| ||
| Class | ||
| JHS 1 | 197 | 46.5 |
| JHS 2 | 227 | 53.5 |
|
| ||
| Ethnicity | ||
| Dagomba | 288 | 67.9 |
| Mamprusi | 24 | 5.7 |
| Others | 112 | 26.4 |
|
| ||
| Religion | ||
| Christianity | 112 | 26.4 |
| Islam | 312 | 73.6 |
|
| ||
| Mother's level of education | ||
| No formal education | 204 | 48.1 |
| Basic | 100 | 23.6 |
| Secondary | 60 | 14.2 |
| Tertiary | 60 | 14.2 |
|
| ||
| Father's level of education | ||
| No formal education | 190 | 44.8 |
| Basic | 50 | 11.8 |
| Secondary | 78 | 18.4 |
| Tertiary | 106 | 25.0 |
|
| ||
| Mother's occupation | ||
| Unemployed | 56 | 13.2 |
| Public/civil servant | 135 | 31.8 |
| Trader | 220 | 51.9 |
| Retired | 13 | 3.1 |
|
| ||
| Father's occupation | ||
| Unemployed | 21 | 5.0 |
| Public/civil servant | 195 | 46.0 |
| Farmer | 185 | 43.6 |
| Retired | 23 | 5.4 |
Compliance with IFAS among adolescent girls.
| Variables | Frequency, | Percent (%) |
|---|---|---|
| Took IFA tablet on the first day | ||
| No | 42 | 9.9 |
| Yes | 382 | 90.1 |
|
| ||
| Currently taking IFA tablet in school | ||
| No | 74 | 17.5 |
| Yes | 350 | 82.5 |
|
| ||
| Reasons for taking IFA tablet | ||
| Advice from teacher | 144 | 41.1 |
| Because it is free | 12 | 3.4 |
| Friends are taking it | 25 | 7.1 |
| It prevents anaemia | 169 | 48.3 |
|
| ||
| Reasons for not taking the tablet | ||
| Fear of side effects | 4 | 5.4 |
| My parents ask me not to take the tablet | 67 | 90.5 |
| l feel healthy | 3 | 4.1 |
|
| ||
| Number of IFA tablets taken in the past 7 weeks | ||
| <5 tablets | 313 | 73.8 |
| ≥5 tablets | 111 | 26.2 |
|
| ||
| Always takes IFA tablet under supervision | ||
| No | 114 | 26.9 |
| Yes | 310 | 73.1 |
|
| ||
| Ever missed taking IFA tablet in school | ||
| No | 74 | 17.5 |
| Yes | 350 | 82.5 |
|
| ||
| Reasons for missing | ||
| Bad taste of tablet | 23 | 6.6 |
| I was absent | 101 | 28.9 |
| Side effects | 16 | 4.6 |
| I was not given IFA tablet | 210 | 60.0 |
Sociodemographic characteristics and compliance level among adolescent girls.
| Dependent variables | Compliance with IFAS | |||
|---|---|---|---|---|
| Noncompliance | Compliance | Total, | Chi-square ( | |
| Age group (years) | ||||
| 10–15 | 256 (75.7) | 82 (24.3) | 338 (100) | 3.18 (0.08) |
| 16–19 | 57 (66.3) | 29 (33.7) | 86 (100) | |
|
| ||||
| Class | ||||
| JHS 1 | 143 (72.6) | 54 (27.4) | 197 (100) | 0.29 (0.59) |
| JHS 2 | 170 (74.9) | 57 (25.1) | 227 (100) | |
|
| ||||
| Ethnicity | ||||
| Dagomba | 212 (73.6) | 76 (26.4) | 288 (100) | 0.03 (0.99) |
| Mamprusi | 18 (75) | 6 (25) | 24 (100) | |
| Others | 83 (74.1) | 29 (25.9) | 112 (100) | |
|
| ||||
| Religion | ||||
| Christianity | 77 (68.8) | 35 (31.3) | 112 (100) | 2.03 (0.16) |
| Islam | 236 (75.6) | 76 (24.4) | 312 (100) | |
|
| ||||
| Mother's level of education | ||||
| No formal education | 153 (75) | 51 (25) | 204 (100) |
|
| Basic | 85 (85) | 15 (15) | 100 (100) | |
| Secondary | 35 (58.3) | 25 (41.7) | 60 (100) | |
| Tertiary | 40 (66.7) | 20 (33.3) | 60 (100) | |
|
| ||||
| Father's level of education | ||||
| No formal education | 145 (76.3) | 45 (23.7) | 190 (100) | 6.03 (0.11) |
| Basic | 42 (84) | 8 (16) | 50 (100) | |
| Secondary | 53 (67.9) | 25 (32.1) | 78 (100) | |
| Tertiary | 73 (68.9) | 33 (31.1) | 106 (100) | |
|
| ||||
| Mother's occupation | ||||
| Unemployed | 35 (62.5) | 21 (37.5) | 56 (100) |
|
| Public/civil servant | 94 (69.6) | 41 (30.4) | 135 (100) | |
| Trader | 176 (80) | 44 (20) | 220 (100) | |
| Retired | 8 (61.5) | 5 (38.5) | 13 (100) | |
|
| ||||
| Father's occupation | ||||
| Unemployed | 18 (85.7) | 3 (14.3) | 21 (100) | 7.81 (0.05) |
| Public/civil servant | 132 (67.7) | 63 (32.3) | 195 (100) | |
| Farmer | 146 (78.9) | 39 (21.1) | 185 (100) | |
| Retired | 17 (73.9) | 6 (26.1) | 23 (100) | |
Association between the odds of sociodemographic characteristics and compliance level among adolescent girls.
| Independent variables | Frequency (%) | Unadjusted | Adjusted | ||||
|---|---|---|---|---|---|---|---|
| OR | 95% CI |
| OR | 95% CI |
| ||
| Mother's education | |||||||
| No formal education | 204 (48.1) | Reference | |||||
| Basic | 100 (23.6) | 0.53 | 0.28, 1.00 | 0.05 | 0.51 | 0.27, 0.96 |
|
| Secondary | 60 (14.2) | 2.14 | 1.17, 3.29 |
| 1.96 | 1.06, 3.63 |
|
| Tertiary | 60 (14.2) | 1.50 | 0.80, 2.80 | 0.20 | 1.24 | 0.62, 2.48 | 0.54 |
|
| |||||||
| Mother's occupation | |||||||
| Unemployed | 56 (13.2) | Reference | |||||
| Public/civil servant | 135 (31.8) | 0.73 | 0.34, 0.38 | 0.34 | 0.69 | 0.34, 1.42 | 0.32 |
| Trader | 220 (51.9) | 0.42 | 0.22, 0.79 |
| 0.44 | 0.23, 0.85 |
|
| Retired | 13 (3.1) | 1.04 | 0.30, 3.60 | 0.95 | 1.08 | 0.30, 3.92 | 0.90 |
Factors associated with IFAS compliance level among adolescent girls.
| Independent variables | Frequency (%) | Unadjusted | Adjusted | ||||
|---|---|---|---|---|---|---|---|
| OR | 95% CI |
| OR | 95% CI |
| ||
| Awareness of anaemia | |||||||
| No | 294 (69.3) | Reference | |||||
| Yes | 130 (30.7) | 4.04 | 2.25, 7.25 |
| 3.57 | 1.96, 6.51 |
|
|
| |||||||
| Knowledge of anaemia | |||||||
| Poor | 241 (56.8) | Reference | |||||
| Good | 183 (43.7) | 1.82 | 1.17, 2.81 |
| 1.12 | 0.63, 2.00 | 0.70 |
|
| |||||||
| Knowledge of the IFAS program | |||||||
| Poor | 275 (64.9) | Reference | |||||
| Good | 149 (35.1) | 2.29 | 1.47, 3.57 |
| 1.67 | 0.94, 3.00 | 0.08 |
Figure 1Perceived benefits of consuming IFA tablets.
Figure 2Respondents' knowledge of anaemia.
Association between respondents' sociodemographic characteristics and knowledge on anaemia.
| Independent variables | Knowledge on anaemia | Unadjusted OR (95% CI) | |||
|---|---|---|---|---|---|
| Poor knowledge | Good knowledge | Total, | Chi-square ( | ||
| Age group (years) | |||||
| 10–15 | 192 (56.8) | 146 (43.2) | 338 (100) | 0.00 (0.98) | |
| 16–20 | 49 (57) | 37 (43) | 86 (100) | ||
|
| |||||
| Class | |||||
| JHS 1 | 114 (57.9) | 83 (42.1) | 197 (100) | 0.16 (0.69) | |
| JHS 2 | 127 (55.9) | 100 (44.1) | 227 (100) | ||
|
| |||||
| Ethnicity | |||||
| Dagomba | 168 (58.3) | 120 (41.7) | 288 (100) | 0.82 (0.67) | |
| Mamprusi | 13 (54.2) | 11 (45.8) | 24 (100) | ||
| Others | 60 (53.6) | 52 (46.4) | 112 (100) | ||
|
| |||||
| Religion | |||||
| Christianity | 63 (56.3) | 49 (43.8) | 112 (100) | 0.02 (0.88) | |
| Islam | 178 (57.1) | 134 (42.9) | 312 (100) | ||
|
| |||||
| Mother's level of education | |||||
| No formal education | 124 (60.8) | 80 (39.2) | 204 (100) | 5.16 (0.16) | |
| Basic | 59 (59) | 41 (41) | 100 (100) | ||
| Secondary | 30 (50) | 30 (50) | 60 (100) | ||
| Tertiary | 28 (46.7) | 32 (53.3) | 60 (100) | ||
|
| |||||
| Father's level of education | |||||
| No formal education | 116 (61.1) | 74 (38.9) | 190 (100) | 5.14 (0.16) | |
| Basic | 31 (62) | 19 (38) | 50 (100) | ||
| Secondary | 37 (47.4) | 41 (52.6) | 78 (100) | ||
| Tertiary | 57 (53.8) | 49 (46.2) | 106 (100) | ||
|
| |||||
| Mother's occupation | |||||
| Unemployed | 28 (50) | 28 (50) | 56 (100) | 6.41 (0.09) | |
| Public/civil servant | 68 (50.4) | 67 (49.6) | 135 (100) | ||
| Trader | 136 (61.8) | 84 (38.2) | 220 (100) | ||
| Retired | 9 (69.2) | 4 (30.8) | 13 (100) | ||
|
| |||||
| Father's occupation | |||||
| Unemployed | 17 (81) | 4 (19) | 21 (100) |
|
|
| Public/civil servant | 96 (49.2) | 99 (50.8) | 195 (100) | 4.4 (1.4, 13.5) | |
| Farmer | 114 (61.6) | 71 (38.4) | 185 (100) | 2.6 (0.9, 8.2) 0.09 | |
| Retired | 14 (60.9) | 9 (39.1) | 23 (100) | 2.7 (0.7, 10.8) 0.15 | |
Figure 3Respondents' knowledge of the IFAS program.
Association between sociodemographic characteristics and knowledge on the IFAS program.
| Independent variables | Knowledge on the IFAS program | Chi-square ( | ||
|---|---|---|---|---|
| Poor knowledge | Good knowledge | Total, | ||
| Age group (years) | ||||
| 10–15 | 217 (64.2) | 121 (35.8) | 338 (100) | 0.32 (0.57) |
| 16–20 | 58 (67.4) | 28 (32.6) | 86 (100) | |
|
| ||||
| Class | ||||
| JHS 1 | 122 (61.9) | 75 (38.1) | 197 (100) | 1.39 (0.24) |
| JHS 2 | 153 (67.4) | 74 (32.6) | 227 (100) | |
|
| ||||
| Ethnicity | ||||
| Dagomba | 190 (66) | 98 (34) | 288 (100) | 4.04 (0.13) |
| Mamprusi | 11 (45.8) | 13 (54.2) | 24 (100) | |
| Others | 74 (66.1) | 38 (33.9) | 112 (100) | |
|
| ||||
| Religion | ||||
| Christianity | 76 (67.9) | 36 (32.1) | 112 (100) | 0.60 (0.44) |
| Islam | 199 (63.8) | 113 (36.2) | 312 (100) | |
|
| ||||
| Mother's level of education | ||||
| No formal education | 141 (69.1) | 63 (30.9) | 204 (100) | 9.92 |
| Basic | 70 (70) | 30 (30) | 100 (100) | |
| Secondary | 31 (51.7) | 29 (48.3) | 60 (100) | |
| Tertiary | 33 (55) | 27 (45) | 60 (100) | |
|
| ||||
| Father's level of education | ||||
| No formal education | 130 (68.4) | 60 (31.6) | 190 (100) | 7.68 (0.05) |
| Basic | 38 (76) | 12 (24) | 50 (100) | |
| Secondary | 47 (60.3) | 31 (39.7) | 78 (100) | |
| Tertiary | 60 (56.6) | 46 (43.4) | 106 (100) | |
|
| ||||
| Mother's occupation | ||||
| Unemployed | 38 (67.9) | 18 (32.1) | 56 (100) | 8.39 |
| Public/civil servant | 77 (57) | 58 (43) | 135 (100) | |
| Trader | 154 (70) | 66 (30) | 220 (100) | |
| Retired | 6 (46.2) | 7 (53.8) | 13 (100) | |
|
| ||||
| Father's occupation | ||||
| Unemployed | 18 (85.7) | 3 (14.3) | 21 (100) | 10.88 |
| Public/civil servant | 117 (60) | 78 (40) | 195 (100) | |
| Farmer | 129 (69.7) | 56 (30.3) | 185 (100) | |
| Retired | 11 (47.8) | 12 (52.2) | 23 (100) | |
Association between the odds of good knowledge on the IFAS program and sociodemographic characteristics of respondents.
| Dependent variable: good knowledge on the IFAS program | |||||||
|---|---|---|---|---|---|---|---|
| Independent variables | Frequency (%) | Unadjusted | Adjusted | ||||
| OR | 95% CI |
| OR | 95% CI |
| ||
| Mother's level of education | |||||||
| No formal education | 204 (48.1) | Reference | |||||
| Basic | 100 (23.6) | 0.96 | 0.57, 1.61 | 0.88 | 1.00 | 0.59, 1.70 | 1.00 |
| Secondary | 60 (14.2) | 2.09 | 1.16, 3.77 |
| 2.19 | 1.81, 4.07 |
|
| Tertiary | 60 (14.2) | 1.83 | 1.02, 3.30 |
| 1.25 | 0.64, 2.42 | 0.51 |
|
| |||||||
| Mother's occupation | |||||||
| Unemployed | 56 (13.2) | 0.63 | 0.33, 1.21 | 0.17 | 0.64 | 0.31, 1.31 | 0.22 |
| Public/civil servant | 135 (31.8) | Reference | |||||
| Trader | 220 (51.9) | 0.57 | 0.36, 0.89 |
| 0.66 | 0.39, 1.10 | 0.11 |
| Retired | 13 (3.1) | 1.55 | 0.49, 4.85 | 0.45 | 1.25 | 0.37, 4.29 | 0.72 |
|
| |||||||
| Father's occupation | |||||||
| Unemployed | 21 (5.0) | 0.25 | 0.07, 0.88 |
| 0.29 | 0.08, 1.06 | 0.06 |
| Public/civil servant | 195 (46) | Reference | |||||
| Farmer | 185 (43.6) | 0.65 | 0.43, 1.00 | 0.05 | 0.81 | 0.51, 1.29 | 0.37 |
| Retired | 23 (5.4) | 1.64 | 0.69, 3.89 | 0.27 | 1.79 | 0.70, 4.60 | 0.22 |
Figure 4Respondents' perceived side effects of IFA supplement.