Abstract
Background
The absence of proper infant and young child feeding practice results in malnutrition. Intimate Partner Violence (IPV) is potentially a major factor affecting child feeding practices. However, there is limited evidence about the effect of intimate partner violence (IPV) on a minimum acceptable diet. Therefore, in this study, we hypothesized that IPV will be associated with a lack of a minimum acceptable diet among children aged 6–23 months.
Methods
We conducted a cross-sectional analysis using the Ethiopian Demographic and Health Survey (EDHS) 2016. All child-mother pairs that participated in EDHS 2016 from all regions of Ethiopia were included. The analysis included mother-child pairs where 6–23 months aged children with mothers who were ever in a committed partnership and interviewed for domestic violence were involved. The data were weighted considering enumeration areas as a cluster and place of residence as a stratum. A binary logistic regression analysis was done to identify factors independently associated with a minimum acceptable diet.
Result
Totally, 1307 observations were included in the final analysis. The mean age of mothers was 29 years (standard deviation ±6.54 years), the mean age of children was 14. ± 5.02 months, and 32% of women had intimate partner violence (IPV). Of the children, 8% had a minimum acceptable diet (minimum acceptable diet), 15% had a minimum dietary diversity, and 43% had a minimum meal frequency. Having intimate partner violence decreases children minimum acceptable diet by 65% (AOR: 0.35; 95% CI: 0.16, 0.77). The other factors associated with the minimum acceptable diet were caregivers attaining a secondary level of education (AOR: 4.01; 95% CI: 1.04, 15.45), currently working (AOR: 2.26; 95% CI: 1.01, 5.11), and undecided fertility desire (AOR: 4.72; 95% CI: 1.37, 16.28).
Conclusion
Intimate partner violence against women had a negative association with the minimum acceptable diet children have received. Decreasing violence against women, educating, and increasing work opportunities for them would help in improving child feeding practice and reducing malnutrition and its consequences. Further studies that focus on possible community-based interventions aiming to decrease IPV are recommended.
Keywords: Children, Ethiopia, Intimate partner violence, Minimum acceptable diet
Background
For proper growth and development, children should receive the minimum acceptable diet including recommended quality and quantity of foods according to their age [1, 2]. Yet, over 150 million children are undernourished globally [3]. In Ethiopia, 38% of children under the age of 5 are short for their age, 10% are thin for their height, and 24% are thin for their age [4]. Most of the burden of childhood undernutrition can be explained by the absence of proper infant and young child feeding practices during the first two years [5, 6]. Child age, parity of mothers, child illness, maternal knowledge [7], the attitude of mothers [8], parental educational attainment, and household income are some of the factors that affect child feeding practices [9].
Intimate Partner Violence (IPV) is potentially a major factor affecting child feeding practices. IPV is a significant social and public health problem affecting 30% of ever-partnered women worldwide [10]. In Ethiopia, the cumulative incidence of IPV was 28% in a lifetime, and 20% in the past 12 months [4]. Women are the primary caregivers of children and violence affecting women might have an effect on child feeding practice. Violence is associated with mental health problems [11], and women who are depressed and anxious are more likely to abstain from breastfeeding and childcare [12]. Physical and psychological effects of IPV impair women’s ability to breastfeed and provide other complementary foods [13–17].
Previous studies focused on the effect of IPV on breastfeeding only and did not address the effect of IPV on the minimum acceptable diet. Continued investments in nutrition-specific interventions to avert child undernutrition through community engagement and women’s empowerment are recommended to accelerate progress in countries with the highest burden of child undernutrition and mortality [18]. Therefore, in this study, we hypothesized that maternal exposure to IPV will be associated with a lack of minimum acceptable diet among children aged 6–23 months, providing an indication that reduction in IPV may reduce childhood malnutrition.
Methods
Study setting and population
We conducted a cross-sectional analysis using the Ethiopian Demographic and Health Survey (EDHS) 2016. All child-mother pairs that participated in EDHS 2016 from all regions of Ethiopia were included. The analysis included mother-child pairs where 6–23 months aged children with mothers who were ever in a committed partnership and interviewed for domestic violence were involved.
Sample size and sampling procedure
For EDHS 2016, the census frame was a complete list of 84,915 enumeration areas (EAs) created for the 2007 census. Each region was stratified into urban and rural areas and samples of EAs were selected in each stratum in two stages. In the first stage, a total of EAs were selected with probability proportional to EA size, and a household listing operation was performed in the selected EAs. The resulting lists of households served as a sampling frame for the selection of households in the second stage. Details of the recruitment of study participants found elsewhere [4]. From the involved households, 15,683 women completed the interview, and 5860 of them were interviewed for domestic violence. Only one eligible woman per household was randomly selected for domestic violence interview, and it was omitted if privacy could not be obtained. There were 10,641 children under the age of 5 and 3105 of them were in the age group between 6 and 23 months.
Data collection procedures and quality control
The EDHS is a standardized report prepared from data collected using standardized tools. The data were collected through face-to-face interviews with the child’s mothers/caregivers. The 2016 EDHS questionnaires have parts divided into three; households, woman’s, and man’s questionnaires. Primary caregivers were interviewed to get data about the household and children. Generally, the questionnaires capture information on socio-demographic variables, reproductive health issues, domestic violence, health service characteristics, and others. The woman’s questionnaire had parts for children, which capture information on child immunization, health, and nutrition. The dietary diversity data were collected using a 24-h recall method; that is, mothers were asked to recall all foods given to their child in the past twenty-four hours before the survey.
Variables of the study
The outcome of interest was getting minimum acceptable diet and the primary exposure was maternal exposure to intimate partner violence. The covariates considered were child characteristics (age in months, birth order, child sex); healthcare characteristics (place of delivery, number of antenatal visits, PNC counseling); parental characteristics (mother’s age, place of residence, father’s education, mother’s marital status, mother’s work status); household characteristics (wealth index, number of children under the age of 5, exposure to media).
Minimum dietary diversity (MDD) was defined as the proportion of children aged 6–23 months who received foods minimum acceptable diet from four or more food groups out of the seven food groups during the previous day/ within 24 h [9, 19]. The seven food groups are the following: starchy staples (foods minimum acceptable diet from grain, roots, or tubers); 2) legumes and nuts; 3) dairy products (milk other than breast milk, cheese, or yogurt); 4) Flesh foods (meat, fish, poultry and liver/organ meats; 5) vitamin A-rich fruits and vegetables (pumpkin; red or yellow yams or squash; carrots or red sweet potatoes; green leafy vegetables; fruits such as mango, papaya, or other local vitamin A-rich fruits); 6) other fruits and vegetables (or fruit juices); 7) eggs. Minimum meal frequency (MMF) was defined as [1] at ages 6–8 months, the child was breastfed and received two or more daily feedings of solid, semi-solid or soft foods; or [2] at ages 9 to 23 months, the child was breastfed and received three or more daily feedings of solid, semi-solid or soft foods; or [3] at ages 6 to 23 months, the child was not breastfed and received four or more daily feedings of solid, semi-solid, or soft foods. Minimum acceptable diet: A child was considered to receive at least the minimum acceptable diet for health if the MDD and the MMF criteria were met.
Intimate partner violence was defined as ever in committed partnership women who have experienced one or more of the specified acts of spousal physical violence or sexual violence or emotional violence by their current or most recent husbands/partners in the 12 months preceding the survey [20]. Intimate partner physical violence was defined as ever in committed partnership women who have experienced one or more of the specified acts of spousal physical violence by their current or most recent husbands/partners in the 12 months preceding the survey. Likewise, intimate partner sexual violence and emotional violence were defined as ever experiencing one or more of the specified acts of spousal sexual or emotional violence by their current or most recent husbands/partners in the 12 months preceding the survey.
Exposure to mass media: in the EDHS 2016 survey, respondents were asked how often they read a newspaper, listened to the radio, or watched television. Those who were exposed to any of the media at least once a week were considered to have adequate media exposure.
Data management and analysis
The data were weighted considering enumeration areas as a cluster and place of residence as a stratum. Initial descriptive analyses provided general information on the characteristics of the study populations. A bivariate logistic regression analysis was done. Variables with P-value < 0.2 were included in the multivariable logistic regression model to identify factors independently associated with a minimum acceptable diet.
A propensity score matching analysis was performed to identify the effect of intimate partner violence on a minimum acceptable diet. A propensity score was the probability of being exposed to the IPV, given a set of observed covariates (residence, mother educational status, wealth index, mother work status for the last 12 months, child desire, media exposure), and estimated using the logistic regression model. Nearest neighborhood matching was used in the analysis, which matches a given child of a woman who had intimate partner violence to a child of a woman who had no intimate partner violence whose propensity score is closest to that of the first subject or vice versa. The method is used to balance the two groups so that a direct comparison would be possible for evaluating the effects of intimate partner violence on the minimum acceptable diet. The average effect on children of women who had intimate partner violence was computed by averaging the difference between the outcomes of the two groups. The level of significance was defined at a P-value of less than 0.05.
Results
Sociodemographic and economic characteristics of the study participants
Of the total 15, 683 women participating, 5860 completed the questionnaire for domestic violence. Of those 5860, 1313 had children aged 6 to 23 months. Excluding six participants who were never in a committed partnership, 1307 observations were included in the final analysis (Fig. 1). The mean age of mothers was 29 years (standard deviation ±6.54 years), 30% of the mothers were in the age group between 25 and 29 years, 88% were from rural areas, 62% had no formal education and 23% were in the 1st wealth quantile (poorest). Also, 47% of the study participants’ partners had no formal education (Table 1). Regarding regional composition, 42% of the study participants were from the Oromia region and only 0.22% were from Hariri region (Fig. 2).
Table 1.
Variables | Intimate partner violence | Total | |
---|---|---|---|
Maternal age | Yes N (%) |
No N (%) |
N (%) |
15–19 | 5 (1) | 44 (5) | 49 (4) |
20–24 | 90 (21) | 188 (21) | 278 (21) |
25–29 | 119 (28) | 272 (31) | 392 (30) |
30–34 | 101 (24) | 196 (22) | 297 (23) |
35–39 | 72 (17) | 128 (14) | 199 (15) |
40–44 | 27 (6) | 49 (6) | 76 (6) |
45–49 | 7 (2) | 9(1) | 16 (1) |
Residence | |||
Urban | 33 (8) | 118 (13) | 151 (11) |
Rural | 388 (92) | 768 (87) | 1156 (88) |
Maternal education | |||
No education | 271 (64) | 539 (61) | 810 (62) |
Primary | 120 (29) | 260 (29) | 380 (29) |
Secondary | 19 (4) | 56 (6) | 75 (6) |
Higher | 11 (3) | 31 (4) | 42 (3) |
Religion | |||
Orthodox | 140 (33) | 323 (36) | 463 (35) |
Protestant | 96 (23) | 192 (22) | 289 (22) |
Muslim | 164 (39) | 355 (40) | 519 (40) |
Others | 20 (5) | 16 (2) | 36 (3) |
Household Wealth Index | |||
Poorest | 119 (28) | 183 (21) | 302 (23) |
Poorer | 94 (22) | 196 (22) | 289 (22) |
Middle | 95 (23) | 185 (21) | 280 (21) |
Richer | 71 (17) | 175 (20) | 246 (19) |
Richest | 42 (10) | 147 (17) | 189 (14) |
Father’s educational status | |||
No education | 201 (48) | 417 (47) | 618 (47) |
Primary | 189 (45) | 330 (37) | 519 (40) |
Secondary | 23 (6) | 89 (10) | 112 (9) |
Tertiary | 8 (2) | 50 (6) | 58 (4) |
Reproductive characteristics of mothers/caregivers
For women who had given birth, the mean parity was 4.10 (SD ± 2.52) births. The age at marriage of 36% of the women were below 18 years, 56% of the women had more than one child under the age of 5 years, and 6% of the women were pregnant during the survey (Table 2).
Table 2.
Variables | Intimate partner violence | Total | |
---|---|---|---|
Children ever born | Yes N (%) |
No N (%) |
N (%) |
1 to 2 | 126 (30) | 318 (36) | 444 (34) |
3 to 4 | 93 (22) | 256 (29) | 348 (27) |
> = 5 | 202 (48) | 313 (35) | 515 (39) |
Presence of other under five children in the house | |||
No | 163 (39) | 407 (46) | 570 (44) |
Yes | 258 (61) | 479 (54) | 737 (56) |
Age at first birth | |||
< 18 | 150 (36) | 315 (36) | 466 (36) |
18–24 | 244 (58) | 492 (56) | 736 (56) |
25–29 | 24 (6) | 63 (7) | 87 (7) |
> =30 | 3 (1) | 15 (2) | 18 (1) |
Currently pregnant | |||
No or unknown | 394 (94) | 837 (95) | 1231 (94) |
Yes | 27 (6) | 49 (5) | 76 (6) |
Number of living children | |||
< =2 | 134 (32) | 347 (39) | 481 (37) |
3 to 4 | 116 (27) | 281 (32) | 396 (30) |
> =5 | 171 (41) | 258 (29) | 429 (33) |
Current Marital Status | |||
Married | 396 (94) | 855 (96) | 1151 (96) |
Living with partner | 7 (2) | 15 (2) | 22 (2) |
Othersa | 18 (4) | 17 (2) | 35 (2) |
Fertility desire | |||
Want more children | 249 (59) | 516 (58) | 765 (59) |
Undecided | 26 (6) | 41 (5) | 67 (5) |
Don’t want more children | 146 (35) | 329 (37) | 475 (36) |
Mother worked outside home in the last 12 months | |||
No | 227 (54) | 506 (57) | 733(56) |
In the past year | 77 (18) | 157 (18) | 234 (18) |
Currently working | 118 (28) | 223 (25) | 340 [21] |
aWidowed, divorced, and separated
Media exposure
Almost one-fifth (20%) of the participants had satisfactory media exposure. About 16% of the participants had listened to the radio at least once a week (Fig. 3).
Child-related characteristics
The mean age of children was 14.15 ± 5.02 months with 37% between 12 and 17 months, 53% were girls, 29% were 6th and above in terms of their birth order (Table 3).
Table 3.
Variables | Intimate partner violence | Total | |
---|---|---|---|
Birth order | Yes N (%) |
No N (%) |
N (%) |
First | 70 (17) | 160 (18) | 230 (18) |
Second | 56 (13) | 160 (18) | 216 (17) |
Third | 49 (12) | 144 (16) | 192 (15) |
Fourth | 50 (12) | 115 (13) | 164 (13) |
Fifth | 44 (10) | 88 (10) | 131 (10) |
6th and above | 153 (36) | 221 (25) | 374 (29) |
Twin | |||
No | 411 (98) | 843 (95) | 1254 (96) |
Yes | 10 (2) | 43 (5) | 53 (4) |
Sex of child | |||
Male | 213 (51) | 403 (46) | 616 (47) |
Female | 208 (49) | 483 (54) | 691 (53) |
Birth interval | |||
First birth | 70 (17) | 164 (19) | 234 (18) |
Less than two years | 66 (16) | 139 (16) | 205 (16) |
2 to 5 years | 232 (55) | 441 (50) | 674 (52) |
More than 5 years | 53 (13) | 141 (16) | 194 (15) |
Child age in months | |||
6 to 11 months | 120 (28) | 313 (35) | 433 (33) |
12–17 months | 167 (40) | 319 (36) | 486 (37) |
18–23 months | 134 (32) | 254 (29) | 388 (30) |
Mother had ANC during pregnancy of the child | |||
No | 167 (40) | 334 (38) | 501 (38) |
Yes | 254 (60) | 552 (62) | 806 (62) |
Duration of breastfeeding | |||
Ever breast fed | 63 (15) | 134 (15) | 197 (15) |
Never breast fed | 7 (2) | 42 (5) | 49 (4) |
Still breast feed | 351 (83) | 710 (80) | 1061 (81) |
Wanted status of child during pregnancy | |||
Wanted during pregnancy | 295 (70) | 676 (76) | 970 (74) |
Wanted later | 81 (19) | 137 (15) | 218 (17) |
Not wanted | 45 (11) | 73 (8) | 118 (9) |
Child delivered in a health facility | |||
No | 292 (69) | 541 (61) | 833 (64) |
Yes | 129 (31) | 345 (39) | 474 (36) |
Size at birth | |||
Above average | 154 (37) | 277 (31) | 430 (33) |
Average | 153 (36) | 383 (43) | 536 (41) |
Below average | 114 (27) | 227 (25.58) | 341 (26.07) |
Index to birth history | |||
Last birth | 402 (96) | 845 (95) | 1247 (95) |
Not last birth | 19 (4) | 41 (5) | 60 (5) |
Intimate partner violence
Overall, 32% of the study participants experienced IPV with emotional violence as the most common type of IPV (Fig. 4).
Feeding practice of children
In this study, 8% of children received the recommended minimum acceptable diet. Among the children, 42% were given the recommended meal frequency, and 14% received the recommended minimum dietary diversity.
Determinants of minimum acceptable diet
In the multivariable analysis, level of education, mothers’ work status, fertility desire, and intimate partner violence had a statistically significant association with a minimum acceptable diet. The odds of getting a minimum acceptable diet among children of mothers who had a secondary education was higher than those who did not have formal education (AOR: 4.01; 95% CI: 1.04, 15.45). As compared to children of mothers who did not work for the last 12 months prior to the survey, children of mothers who were working during the survey had higher odds of getting a minimum acceptable diet (AOR: 2.26; 95% CI: 1.01, 5.11). Children of mothers who didn’t decide their fertility desire had higher odds of getting a minimum acceptable diet as compared to those who were children of mothers who decided not to have more children (AOR: 4.72; 95% CI: 1.37, 16.28). Finally, children of mothers who had intimate partner violence had 65% lesser odds of getting a minimum acceptable diet as compared to those who were children of women who did not have an intimate partner violence (AOR: 0.35; 95% CI: 0.16, 0.77) (Table 4).
Table 4.
Variables | Minimum acceptable diet | AOR (95% CI) | ||
---|---|---|---|---|
Yes N (%) |
No N (%) |
COR (95% CI) | ||
Intimate partner violence | ||||
Yes | 16 (4) | 406 (96) | 0.33 (0.15, 0.74) | 0.35 (0.16, 0.77) |
No | 91 (10) | 794 (90) | 1.00 | 1.00 |
Residence | ||||
Urban | 33 (22) | 118 (78) | 1 | 1 |
Rural | 74 (6) | 1082 (94) | 0.24(0.11, 0.57) | 0.74(0.14, 3.87) |
Maternal Education | ||||
No formal education | 51 (6) | 758 (94) | 1.00 | 1 |
Primary education | 23 (6) | 357 (94) | 0.96 (0.46, 2.02) | 0.89 (0.43, 1.85) |
Secondary education | 19 (25) | 56 (75) | 4.85 (1.33, 17.71) | 4.01 (1.04, 15.45) |
Higher education | 14 (32) | 29 (68) | 6.92 (1.85, 25.87) | 3.44 (0.44, 26.72) |
Wealth Index* | ||||
Poorest | 17 (6) | 286 (94) | 1.00 | 1 |
Poorer | 19 (7) | 270 (93) | 1.23(0.42, 3.59) | 0.97 (0.33, 2.82) |
Middle | 20 (7) | 260 (93) | 1.30(0.41, 4.10) | 1.15 (0.38, 3.52) |
Richer | 16 (7) | 230 (93) | 1.20(0.34, 4.30) | 0.67 (0.18, 2.47) |
Richest | 35 (18) | 154 (82) | 3.87(1.40, 10.73) | 0.68 (0.11, 4.18) |
Presence of other under five children in the house | ||||
Yes | 48 (7) | 689 (93) | 0.60 (0.28, 1.31) | 0.73 (0.31, 1.72) |
No | 59 (10) | 511 (90) | 1 | 1 |
Currently Breastfeeding | ||||
Yes | 97 (9) | 964 (91) | 3.49 (0.68, 17.92) | 4.36 (0.69, 27.56) |
No | 7 (3) | 239 (97) | 1.00 | 1 |
Fertility Desire | ||||
Want More children | 65 (8) | 701 (92) | 1.43 (0.59, 3.48) | 1.12 (0.45, 2.77) |
Undecided | 13 (20) | 54 (80) | 3.81 (1.20, 12.14) | 4.72 (1.37, 16.28) |
Don’t Want any | 29 (6) | 446 (94) | 1.00 | 1.00 |
Mother worked outside home in the last 12 months | ||||
No | 43 (6) | 690 (94) | 1.00 | 1 |
Worked in 12 months | 16 (7) | 218 (93) | 1.25 (0.35, 3.82) | 1.25 (0.40, 3.91) |
Currently working | 48 (14) | 292 (86) | 2.68 (1.21, 5.90) | 2.26 (1.01, 5.11) |
Child delivered in a health facility | ||||
Yes | 53 (11) | 421 (89) | 1.80(0.89, 3.66) | 0.79 (0.39, 1.60) |
No | 54 (6) | 779 (94) | 1.00 | 1.00 |
Media Exposure | ||||
Adequate | 44 (17) | 211 (83) | 3.32 (1.65, 6.65) | 2.29 (0.92, 5.67) |
In Adequate | 63 (6) | 989 (94) | 1.00 | 1.00 |
Discussion
This study aimed to assess the effect of maternal/caregiver IPV exposure on getting the minimum acceptable diet among children aged 6 to 23 months. We found that maternal exposure to IPV was associated with a lower proportion of children receiving a minimum acceptable diet. Also, higher maternal level of education, mother/caregivers’ currently working, and desire for children had a statistically significant association with getting a minimum acceptable diet.
We found a large effect, with the proportion of children receiving a minimum acceptable diet declining by 65% among families in which women experienced IPV. This implies that the effect of IPV exposure to mothers/caregivers has the potential to pass to their children and lead them to develop malnutrition and related consequences. Knowing IPV as it has a compounded effect in affecting children’s growth and development beyond its consequence on women helps to broaden perspectives in implementing nutrition-related programs. This finding is consistent with studies done in India [22], Bangladesh [23], and a systematic review that included many countries [24]. When women encounter violence from their partners, the care they provide for their children decreases. When violence happens, it has a persistent negative psychological effect on the victims [16, 24, 25], weakening the mother-child bond [21, 26] and making women less autonomous [11, 27]. When caregivers mind is occupied by negative thoughts that could be associated with some mental health problems, and their productivity and care to their children decrease. Women who faced intimate partner violence are more likely to abandon their children; this would prevent the child to get the appropriate care and nutrition he/she needs [24]. Finally, this would end up with malnutrition in the children and socioeconomic derangement to the society at large [23, 28, 29].
Children of women who had secondary education were more likely to get a minimum acceptable diet than those who had no formal education. This is supported by studies done in Sri Lanka [30], Nepal [31], and Ethiopia [32]. Educated women are closer to media and have better awareness about child feeding practices and they could provide an appropriate diet for their children [33]. Most of the time, educated people live in urban areas where they could have better food and health care access with more work opportunities to support their families [34, 35].
Children of mothers who had a job outside of their home and were working during the survey were more likely to get a minimum acceptable diet than those who were not working. Having income helps women to have better participation in budgeting household expenditures in a way that positively influences [36] the variety and frequency of diet they provide for their children [30, 37]. Moreover, this group of women could be more autonomous and educated and could make better decisions about household food consumption [32].
As compared to those who did not want to have more children, children of women who did not decide their future fertility were more likely to get a minimum acceptable diet. Women who did not decide could be in the dilemma of having more children or not. This feeling might happen due to the affection of their current children that possibly followed by better care and the provision of diversified and frequent meals.
Although this study considered nationwide data, all participating women were not interviewed for IPV, and information about IPV might not represent the national burden. Women were asked to recall an IPV happen within 12 months and there could be a tendency not to recall incidents and that would lead to underestimation of IPV. Also, recalling the food children fed would not be easy and cause misclassification of feeding practice, though it was minimized by using only a 24 h recall period. In addition, women could be shy to report as they encountered violence and that would lead to social desirability bias and underestimate the burden of IPV and thereby its effect on a minimum acceptable diet. Due to the cross-sectional nature of the data, temporality is still a concern. Although the status of getting a minimum acceptable diet was a more incident event and assessed using a 24 h recall period, a reverse temporal relationship could not be precluded. Future researchers would bring more valid evidence and further understand the mechanism by conducting prospective studies that take into account the sensitiveness of the issue and possible mechanisms to handle it. Besides, implementations of nutritional programs need to take maternal partner violence into consideration. Addressing maternal situations could have its own impact on the strategies of halting childhood malnutrition.
Conclusion
Overall, intimate partner violence against women had a negative association with the minimum acceptable diet children have received. Decreasing violence against women, educating, and increasing work opportunities for them would help in improving child feeding practice and reducing malnutrition and its consequences. Further studies that focus on possible community-based interventions aiming to decrease IPV are strongly recommended.
Acknowledgments
We would like to thank the central statistical agency for giving us permission to analyze the data.
Abbreviations
- AOR
Adjusted Odds Ratio
- BMI
Body Mass Index
- COR
Crude Odds Ratio
- CSA
Central Statistical Agency
- DD
Dietary Diversity
- EDHS
Ethiopian Demographic and Health Survey
- IPV
Intimate Partner Violence
- IYCF
Infant and Young Child Feeding
- MDD
Minimum Dietary Diversity
- MMF
Minimum Meal Frequency
- OR
Odds Ratio
- SD
Standard Deviation
- WHO
World Health Organization
Authors’ contributions
DMT and ATT and conceptualized and designed the study and performed the data analysis and wrote the draft and final manuscripts; ZA and MY provided technical research guidance. All authors reviewed and approved the final manuscript.
Funding
No funding was available for this study.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
Ethical approval for the EDHS was obtained from the National Research Ethics Review Committee (NRERC) and all participants signed informed written consent. This particular study was approved by the Institutional Ethical Review Committee of Institute of Public Health at the University of Gondar and approval to analyze the secondary data for this manuscript was provided by the CSA or ORCMacro (Demographic and Health Survey).
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
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Contributor Information
Desta Melaku Tsedal, Email: leouldesti@gmail.com.
Mezgebu Yitayal, Email: mezgebuy@gmail.com.
Zegeye Abebe, Email: zegeye24@gmail.com.
Adino Tesfahun Tsegaye, Email: atesfahun1@gmail.com.
References
- 1.Kennedy G, Ballard T, Dop M. Nutrition and Consumer Protection Division, Food and Agriculture Organization of the United Nations. 2013. Guidelines for measuring household and individual dietary diversity. [Google Scholar]
- 2.Arimend M, Ruel MT. Dietary diversity is associated with child nutritional status: evidence from 11 demographic and health surveys. JNutr. 2004;134:2579–2585. doi: 10.1093/jn/134.10.2579. [DOI] [PubMed] [Google Scholar]
- 3.UNICEF . Global Nutrition Report. 2018. [Google Scholar]
- 4.Central Statistical Agency (CSA) [Ethiopia] Ethiopia Demographic and Health Survey 2016. Addis Ababa, Ethiopia, and Rockville, Maryland, USA: CSA and ICF; 2016. [Google Scholar]
- 5.Saha KKFE, Alam DS, Ariffen SE, Persson LA, Rasmussen KM. Appropriate infant feeding practices result in better growth of infant and young children in rural Bangladish. Bangladesh Amj clin Nutr. 2008;87:1852–1859. doi: 10.1093/ajcn/87.6.1852. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hop LTGR, Giay T, Sastroamidjojo S, Schultink W, Lang NT. Premature complementary feeding is associated with poorer growth of Vietnamese children. Vietnam J Nutr. 2000;130:2683–2690. doi: 10.1093/jn/130.11.2683. [DOI] [PubMed] [Google Scholar]
- 7.Tegegne M, Sileshi S, Benti T, Teshome M, Woldie H. Factors associated with minimal meal frequency and dietary diversity practices among infants and young children in the predominantly agrarian society of bale zone, Southeast Ethiopia: a community based cross sectional study. Arch Public Health. 2017;75(53):1–11. doi: 10.1186/s13690-017-0216-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Hassan MM, Laraib A, Khalid F, Zafar MN, Khalid Z, Saleem A, et al. Feeding and Nutritional Requirements of Infants – Practices and Attitudes of Mothers. J Rawalpindi Med Coll Stud Suppl. 2016;20(S-2):133–136. [Google Scholar]
- 9.Solomon D, Aderaw Z, Tegegne TK. Minimum dietary diversity and associated factors among children aged 6–23 months in Addis Ababa. Ethiopia Int J Equity Health. 2017;16(181):1–9. doi: 10.1186/s12939-017-0680-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.WHO . Global status report on violence prevention. 2014. [Google Scholar]
- 11.Parys A-SV, Deschepper E, Michielsen K, Galle A, Roelens K, Temmerman M, et al. Intimate partner violence and psychosocial health, a cross-sectional study in a pregnant population. BMC Pregnancy Childbirth. 2015;15(278). [DOI] [PMC free article] [PubMed]
- 12.Ferraro AA. Anxious mothers need support to avoid emotional feeding of infants. J Nutr. 2019;149(5):703–704. doi: 10.1093/jn/nxz015. [DOI] [PubMed] [Google Scholar]
- 13.Frith AL, Ziaei S, Naved RT, Khan AI, Kabir I, Ekström E-C. Breast-feeding counselling mitigates the negative association of domestic violence on exclusive breast-feeding duration in rural Bangladesh. The MINIMat randomized trial. Public Health Nutr. 2017:1–9. [DOI] [PMC free article] [PubMed]
- 14.Islam MJ, Baird K, Mazerolle P, Broidy L. Exploring the influence of psychosocial factorson exclusive breastfeeding in Bangladesh. Arch Womens Ment Health. 2016. [DOI] [PubMed]
- 15.Lentz EC. Complicating narratives of women’s food and nutrition insecurity: domestic violence in rural Bangladesh. World Dev. 2018;104(2018):271–280. doi: 10.1016/j.worlddev.2017.11.019. [DOI] [Google Scholar]
- 16.Yoo JA, Huang C-C. The effects of domestic violence on children's behavior problems: assessing the moderating roles of poverty and marital status. Child Youth Serv Rev. 2012;34(2012):2464–2473. doi: 10.1016/j.childyouth.2012.09.014. [DOI] [Google Scholar]
- 17.Misch ES, Yount KM. Intimate partner violence and breastfeeding in Africa. Maternal Child Health. 2014;18:688–697. doi: 10.1007/s10995-013-1294-x. [DOI] [PubMed] [Google Scholar]
- 18.Bhutta ZA, Das JK, Rizvi A, MFG e, Walker N, Horton S, et al. Evidence-based interventions for improvement of maternal and child nutrition: what can be done and at what cost? Lancet. 2013;382:452–477. doi: 10.1016/S0140-6736(13)60996-4. [DOI] [PubMed] [Google Scholar]
- 19.WHO . Indicators for assessing infant and young child feeding practices : conclusions of a consensus meeting held 6–8 November 2007 in Washington D.C. USA. 2008. [Google Scholar]
- 20.Croft TN, Aileen M, Marshall J, Allen CK, et al. Guide to DHS Statistics. ICF: Rockville; 2018. [Google Scholar]
- 21.Boeckel MG, Wagner A, Grassi-Oliveira R. The effects of intimate partner violence exposure on the maternal bond and PTSD symptoms of children. J Interpersonal Violence. 2017;32(7):1127–1142. doi: 10.1177/0886260515587667. [DOI] [PubMed] [Google Scholar]
- 22.Zureick-Brown S, Lavilla K, Yount KM. Intimate partner violence and infant feeding practices in India: a cross-sectional study. Matern Child Nutr. 2015;11(4):792–802. doi: 10.1111/mcn.12057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Rahman M, Poudel KC, Yasuoka J, Otsuka K, Yoshikawa K. Masamine Jimba. Maternal exposure to intimate partner violence and the risk of Undernutrition among children younger than 5 years in Bangladesh. Am J Public Health. 2012;102(7):1336–1345. doi: 10.2105/AJPH.2011.300396. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Yount KM, DiGirolamo AM, Ramakrishnan U. Impacts of domestic violence on child growth and nutrition: a conceptual review of the pathways of influence. Soc Sci Med. 2011;72(2011):1534–1554. doi: 10.1016/j.socscimed.2011.02.042. [DOI] [PubMed] [Google Scholar]
- 25.McLearn KT, Minkovitz CS, Strobino DM, Marks E, Hou W. Maternal depressive symptoms at 2 to 4 months post partum and early parenting practices. Arch Pediatr Adolesc Med. 2006;160:279–284. doi: 10.1001/archpedi.160.3.279. [DOI] [PubMed] [Google Scholar]
- 26.Levendosky AA, Huth-Bocks AC, Shapiro DL, Semel MA. The impact of domestic violence on the maternal–child relationship and preschool-age Children’s functioning. J Fam Psychol. 2003;17(3):275–287. doi: 10.1037/0893-3200.17.3.275. [DOI] [PubMed] [Google Scholar]
- 27.Shroff MR, Griffiths PL, Suchindran C, Nagalla B, Vazir S, Bentley ME. Does maternal autonomy influence feeding practices and infant growth in rural India? Soc Sci Med. 2011;73(3):447–455. doi: 10.1016/j.socscimed.2011.05.040. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Sobkoviak RM, Yount KM, Halim N. Domestic violence and child nutrition in Liberia. Soc Sci Med. 2012;74(2012):103–111. doi: 10.1016/j.socscimed.2011.10.024. [DOI] [PubMed] [Google Scholar]
- 29.Ziaei S, Naved RT, Ekström EC. Women's exposure to intimate partner violence and child malnutrition: findings from demographic and health surveys in Bangladesh. Matern Child Nutr. 2014;10(3):347–359. doi: 10.1111/j.1740-8709.2012.00432.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Senarath U, Godakandage SSP, Jayawickrama H, Siriwardena I, Dibley MJ. Determinants of inappropriate complementary feeding practices in young children in Sri Lanka: secondary data analysis of demographic and health survey 2006-2007. Maternal Child Nutr. 2012;8(1):60–77. doi: 10.1111/j.1740-8709.2011.00375.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Gautam KP, Adhikari M, Khatri RB, Devkota MD. Determinants of infant and young child feeding practices in Rupandehi, Nepal. BMC Res Notes. 2016;9(135):1–7. doi: 10.1186/s13104-016-1956-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Beyene M, Worku AG, Wassie MM. Dietary diversity, meal frequency and associated factors among infant and young children in Northwest Ethiopia: a cross- sectional study. BMC Public Health. 2015;15(1007):1–9. doi: 10.1186/s12889-015-2333-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Dangura D, Gebremedhin S. Dietary diversity and associated factors among children 6-23 months of age in Gorche district, Southern Ethiopia: Cross-sectional study. BMC Pediatr. 2017;17(6):1–7. doi: 10.1186/s12887-016-0764-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Na M, Aguayo VM, Arimond M, Mustaphi P, Stewart CP. Predictors of complementary feeding practices in Afghanistan: analysis of the 2015 demographic and health survey. Matern Child Nutr. 2018;14(S4):e12696. doi: 10.1111/mcn.12696. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Aemro M, Mesele M, Birhanu Z, Atenafu A. Dietary diversity and meal frequency practices among infant and young children aged 6–23 months in Ethiopia: a secondary analysis of Ethiopian demographic and health survey 2011. J Nutr Metab. 2013;2013:8. doi: 10.1155/2013/782931. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Peter R, Kumar KA. Mothers’ caregiving resources and practices for children under 5 years in the slums of Hyderabad, India: a cross-sectional study. J Public Health. 2014;3(3–4):254–265. doi: 10.4103/2224-3151.206748. [DOI] [PubMed] [Google Scholar]
- 37.Ruel MT, Menon P. Child feeding practices are associated with child nutritional status in Latin America: innovative uses of the demographic and health surveys. J Nutr. 2002;132:1180–1187. doi: 10.1093/jn/132.6.1180. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.