| Literature DB >> 30326961 |
Meseret Mamo Bazezew1, Walelegn Worku Yallew2, Aysheshim Kassahun Belew3.
Abstract
OBJECTIVE: The objective of this study was to assess knowledge and practice of iodized salt utilization among reproductive women in Addis Ababa city. A cross-sectional study was carried out on 549 households. A sample district was designated by using the simple random sampling techniques. Data were collected by a face-to-face interview and household salt was tested to check whether its practice was good. p < 0.2 in the bivariate logistic regression was entered into the multivariable logistic regression, and p < 0.05 was considered as significantly associated.Entities:
Keywords: Ethiopia; Iodized salt; Knowledge; Practice; Reproductive age
Mesh:
Substances:
Year: 2018 PMID: 30326961 PMCID: PMC6192364 DOI: 10.1186/s13104-018-3847-y
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Reproductive age women and their husbands Socio-demographic characteristics in Yeka sub-city, Addis Ababa, March 2015
| Variable | Frequency | Percent (%) |
|---|---|---|
| Age of the respondents | ||
| 15–25 | 76 | 13.8 |
| 26–35 | 223 | 40.7 |
| 36–49 | 250 | 45.5 |
| Religious of the respondents | ||
| Orthodox | 372 | 67.8 |
| Protestant | 86 | 15.7 |
| Muslim | 79 | 14.4 |
| Catholic | 11 | 2.0 |
| Other | 1 | 0.2 |
| Ethnicity of the respondents | ||
| Amhara | 240 | 43.7 |
| Oromo | 151 | 27.5 |
| Gurage | 85 | 15.5 |
| Tigire | 56 | 10.2 |
| Other | 17 | 3.1 |
| Marital status | ||
| Married | 344 | 62.7 |
| Unmarried | 205 | 37.3 |
| Educational status of the mother | 72 | 13.1 |
| Unable to read and write | 49 | 8.9 |
| Read and write | 23 | 4.2 |
| Primary education | 137 | 25 |
| Secondary education | 156 | 28.4 |
| Vocational Diploma | 44 | 8.0 |
| Degree and above | 140 | 25.5 |
| Respondents occupational | ||
| Own business | 138 | 25.1 |
| House wife | 128 | 23.3 |
| Private employee | 101 | 18.4 |
| Government employee | 79 | 14.4 |
| Unemployed | 40 | 7.3 |
| Daily laborer | 38 | 6.9 |
| Other | 25 | 4.6 |
| Household monthly income (ETB)a | ||
| < 1500 | 239 | 25.3 |
| 1501–2800 | 139 | 25.3 |
| 2801–5000 | 164 | 29.9 |
| > 5000 | 107 | 19.5 |
| Age of the husband (n = 352) | ||
| 23–35 | 104 | 29.5 |
| 36–50 | 176 | 50.0 |
| > 50 | 72 | 20.5 |
| Religion of the husband (n = 352) | ||
| Orthodox | 229 | 65.1 |
| Muslim | 57 | 16.2 |
| Protestant | 49 | 13.9 |
| Catholic | 14 | 4.0 |
| Other | 1 | 0.4 |
| Husband educational status (n = 352) | ||
| Unable to read and write | 32 | 9.1 |
| Read and write | 4 | 1.1 |
| Primary education | 37 | 10.5 |
| Secondary education | 100 | 28.4 |
| Vocational diploma | 27 | 7.7 |
| University degree | 152 | 43.2 |
| Husband occupation | ||
| Private employee | 136 | 38.6 |
| Government employee | 90 | 25.6 |
| Own business | 76 | 21.6 |
| Non-governmental organization | 20 | 5.7 |
| Daily laborer | 18 | 5.1 |
| Other | 12 | 3.4 |
| Have you heard about iodized salt | ||
| Yes | 485 | 88.3 |
| No | 64 | 11.7 |
| The source of information about iodized salt | ||
| Radio, television | 402 | 73.2 |
| Printed material | 68 | 12.4 |
| Friends/neighbors | 26 | 4.7 |
| Health workers | 20 | 3.7 |
| Others | 2 | 0.4 |
| Have you heard the effects of iodine deficiency on human | ||
| Yes | 436 | 79.4 |
| No | 113 | 20.6 |
| Iodized salt should be handled in the store and household with great care than non-iodized | ||
| Yes | 86 | 15.7 |
| No | 463 | 84.3 |
| What are the advantage of using iodized salt? | ||
| Better test | 24 | 4.4 |
| Better digestion | 3 | 0.5 |
| Makeup for iodine in the human body (prevent IDD such as goiter, abortion) | 401 | 73 |
| I don’t know | 99 | 18 |
| Other | 22 | 4 |
| What is the consequence of Iodine deficiency? | ||
| Goiter | 420 | 76.5 |
| Cretinism/mental retardation in children | 118 | 21.5 |
| Abortion/still birth/miscarriage | 96 | 17.5 |
| Regular consumption of iodized salt can remove iodine deficiency in the body? | ||
| Yes | 408 | 74.3 |
| No | 141 | 25.7 |
| Health risk of unborn baby if there is lack of iodine in the diet of pregnant women? | ||
| Risk of being mentally impaired | 170 | 31 |
| Risk of being physically impaired | 68 | 12.4 |
| I don’t know | 270 | 49.5 |
| Other | 39 | 7.1 |
| Group of population should receive much iodine than other | ||
| Children | 220 | 40.1 |
| Pregnant women | 179 | 32.6 |
| All people need same amount | 195 | 35.5 |
| I don’t know | 92 | 16 |
| Other | 4 | 0.7 |
| Is there legal frame exist in Ethiopia which prohibit production, trade and sales of non-iodized salt? | ||
| Yes | 70 | 12.8 |
| No | 246 | 44.8 |
| I don’t know | 233 | 42.4 |
| Does iodine in the salt affect its test? | ||
| Yes | 75 | 13.7 |
| No | 329 | 59.9 |
| I don’t know | 145 | 26.4 |
| In what place should iodized salt be kept | ||
| Dry place | 235 | 42.8 |
| With no direct sunlight contact | 71 | 12.9 |
| In closed container | 358 | 65.3 |
| It doesn’t need special place | 31 | 5.6 |
| I don’t know | ||
| Timing of adding salt during food cooking process | ||
| At the beginning | 45 | 8.4 |
| In the middle | 168 | 30.8 |
| At the end | 334 | 60.8 |
| Where do you usually store your salt | ||
| In an open package | 25 | 4.6 |
| In container without lid | 36 | 6.5 |
| In container with closed lid | 488 | 88.9 |
| Iodine test result | ||
| Not iodized (0 ppm) | 160 | 29.1 |
| Inadequate iodine in the salt (< 15 ppm) | 200 | 36.4 |
| Adequate iodine in the salt (> 15 ppm) | 184 | 33.5 |
| No salt at home | 5 | 0.9 |
| Place where salt is store | ||
| Exposed to sun light | 4 | 0.7 |
| Near to fire in the kitchen | 7 | 1.3 |
| Far from sun light and fire | 536 | 97.6 |
| Other | 2 | 0.4 |
aIndicate One US Dollar = 27.00 Ethiopian Birr (ETB)
Bivariate and multivariable logistic regression output showing that factors associated with knowledge of iodized salt among women at reproductive age, in Yeka Sub-city Addis Ababa, March 2015
| Variables | Knowledge | Crude Odds Ratio with 95% CI | Adjusted Odds Ratio with 95% CI | |
|---|---|---|---|---|
| Good | Poor | |||
| Respondents educational status | ||||
| Unable to read and write | 33 (67.3) | 16 (32.7) | 1 | 1 |
| Read and write | 19 (82.6) | 4 (17.4) | 2.30 (0.67,7.90) | 2.44 (0.68,8.68) |
| Primary education | 84 (61.3) | 53 (38.7) | 0.77 (0.39,1.53) | 0.76 (0.37,1.55) |
| Secondary education | 128 (82.1) | 28 (17.9) | 2.22 (1.08,4.57) | 2.02 (0.92,4.44) |
| Degree and above | 164 (89.1) | 20 (10.9) | 3.98 (1.87,8.47) | 2.72 (1.05,7.03) |
| Occupations of the respondents | ||||
| Government employee | 69 (87.3) | 10 (12.7) | 1.08 (0.34,3.41) | 1.21 (0.35,4.13) |
| Private employee | 87 (86.1) | 14 (13.9) | 0.97 (0.32,2.91) | 1.64 (0.51,5.27) |
| Own business | 101 (73.2) | 37 (26.8) | 0.43 (0.16,1.18) | 1.02 (0.33,3.14) |
| House wife | 88 (68.8) | 40 (31.2) | 0.34 (0.13,0.95) | 0.97 (0.30,3.06) |
| Unemployed | 27 (77.1) | 8 (22.9) | 0.53 (0.15,1.80) | 1.01 (0.47,2.10) |
| Daily laborer | 24 (77.4) | 7 (22.6) | 0.54 (0.15,1.90) | 1.19 (0.32.4.51) |
| Others | 32 (86.5) | 5 (13.5) | 1 | 1 |
| Household monthly income | ||||
| < 1500 | 98 (70.5) | 41 (29.5) | 1 | 1 |
| 1500–2800 | 100 (71.9) | 39 (28.1) | 1.07 (0.64,1.80) | 0.85 (0.48,1.49) |
| 2801–5000 | 131 (79.9) | 33 (20.1) | 1.67 (0.98,2.82) | 0.97 (0.54,1.83) |
| > 5000 | 99 (92.5) | 8 (7.5) | 5.18 (2.31,11.61) | 2.97 (1.20,7.37)* |
| Marital status | ||||
| Not married | 164 (80) | 41 (20) | 1 | 1 |
| Married | 264 (76.7) | 80 (23.3) | 2.59 (0.81,8.32) | 0.86 (0.53,1.40) |
| Media exposure | ||||
| Poor | 7 (58.3) | 5 (41.7) | 1 | 1 |
| Good | 421 (78.4) | 116 (21.6) | 1.21 (0.79,1.85) | 1.15 (0.33,3.94) |
* Indicate significant at p value less than 0.05 in multivariable logistic analysis
Bivariate and multivariable logistic regression output showing that factors associated with practice of iodized salt among women at reproductive age, in Yeka Sub-city Addis Ababa, March 2015
| Variables | Practice | Crude Odds Ratio with 95% CI | Adjusted Odds Ratio with 95% CI | |
|---|---|---|---|---|
| Good | Poor | |||
| Respondents educational status | ||||
| Unable to read and write | 19 (38.8) | 30 (61.2) | 1 | 1 |
| Read and write | 12 (52.2) | 11 (47.8) | 0.04 (0.02,0.11) | 1.18 (0.38,3.64) |
| Primary education | 86 (62.8) | 51 (37.2) | 0.08 (0.03,0.22) | 2.06 (0.98,4.32) |
| Secondary education | 131 (84) | 25 (16) | 0.12 (0.05,0.25) | 2.10 (1.24,5.6) |
| Technical/vocational | 40 (90.9) | 4 (9.1) | 0.36 (0.16,0.80) | 2.14 (1.55,5.43) |
| Degree and above | 101 (93.6) | 9 (6.4) | 0.69 (0.20,2.35) | 2.45 (2.10, 6.43)* |
| Occupations of the respondents | ||||
| Government employee | 75 (94.9) | 4 (5.1) | 2.93 (0.74,11.63) | 2.85 (0.64,12.76) |
| Private employee | 83 (82.2) | 18 (17.8) | 0.72 (0.25,2.10) | 1.07 (0.32,3.57) |
| Own business | 98 (71) | 40 (29) | 0.35 (0.14,1.05) | 1.08 (0.31,3.51) |
| House wife | 95 (74.2) | 33 (25.8) | 0.45 (0.16,1.25) | 1.41 (0.41,4.79) |
| Unemployed | 31 (88.6) | 4 (11.4) | 1.21 (0.30,4.93) | 3.53 (0.75,16.07) |
| Daily laborer | 5 (16.1) | 26 (83.9) | 0.03 (0.08,0.12) | 0.56 (0.25,1.51) |
| Others | 32 (86.5) | 5 (13.5) | 1 | |
| Household monthly income | ||||
| < 1500 | 84 (60.4) | 55 (39.6) | 1 | 1 |
| 1500–2800 | 94 (67.6) | 45 (32.4) | 1.37 (0.84,2.24) | 0.98 (0.50,1.60) |
| 2801–5000 | 138 (84.1) | 26 (15.9) | 3.48 (2.03,5.96) | 1.69 (0.87,3.27) |
| > 5000 | 103 (96.3) | 4 (3.7) | 2.57 (1.50,7.23) | 3.66 (1.78,8.03)* |
| Marital status | ||||
| Not married | 146 (71.2) | 59 (28.8) | 1 | 1 |
| Married | 273 (79.4) | 71 (20.6) | 1.55 (1.04,2.32) | 1.30 (0.77,2.18) |
| Media exposure | ||||
| Poor | 5 (41.7) | 7 (58.3) | 1 | 1 |
| Good | 414 (77.1) | 123 (22.9) | 4.71 (1.47,15.11) | 1.52 (0.44,5.27) |
| Knowledge | ||||
| Poor | 81 (66.9) | 40 (33.1) | 1 | 1 |
| Good | 338 (79) | 90 (21) | 1.86 (1.19,2.890) | 1.27 (0.75,2.14) |
* Indicate significant at p value less than 0.05 in multivariable logistic analysis