Author, year | IYCF component | Educational attainment | Association | Confidence interval | P-value | Type of analysis | Variables adjusted for | Association |
---|---|---|---|---|---|---|---|---|
Ahmed et al. (1999) [35] | Colostrum feeding | Maternal |  |  |  |  | Unadjusted | Colostrum feeding was positively associated with 1–5 years of parental education but negatively associated with ≥ 6 years of parental education compared to parents with no education. The associations were not statistically significant |
0Â year of schoolinga | 1.00 | Not mentioned | - | Logistic regression | ||||
1–5 years of schooling | 1.27 | > 0.10 | ||||||
≥ 6 years of schooling | 0.91 | > 0.10 | ||||||
Paternal | Â | Â | Â | Â | ||||
0Â year of schoolinga | 1.00 | Not mentioned | - | Logistic regression | ||||
1–5 years of schooling | 1.02 | > 0.10 | ||||||
 ≥ 6 years of schooling | 0.70 | > 0.10 | ||||||
Exclusive breastfeeding | Maternal | Â | Â | Â | Â | Unadjusted | Exclusive breastfeeding was negatively associated with parental education | |
0Â year of schoolinga | 1.00 | Not mentioned | - | Logistic regression | ||||
1–5 years of schooling | 0.72 | < 0.10 | ||||||
≥ 6 years of schooling | 0.49 | < 0.01 | ||||||
Paternal | Â | Â | Â | Â | ||||
0Â year of schoolinga | 1.00 | Not mentioned | - | Logistic regression | ||||
1–5 years of schooling | 0.92 | > 0.10 | ||||||
≥ 6 years of schooling | 0.91 | > 0.10 | ||||||
Ahmmed & Manik (2021) [39] | Early Initiation of breastfeeding | Parental |  |  |  |  | Year, Sex of child, mode of delivery, household member, exposure to media, birth order, type of birth, mother’s age at first birth, mother’s age at first marriage, delivery facility, BMI, place of residence, division, wealth index, mother’s working status | Children whose parents were educated were more likely to early initiation of breastfeeding than the children whose parents were uneducated |
Both uneducateda | 1.00 | - | - | Multilevel logistic regression | ||||
Any one educated | 1.07 | 0.97, 1.18 | 0.182 | |||||
Both educated | 1.14 | 1.04, 1.26 | 0.007 | |||||
Akter & Rahman (2010) [36] | Breastfeeding cessation | Maternal | Â | Â | Â | Â | Age of mother, age at marriage, sex of child, parity, contraceptive use, delivery status, place of residence, division/region, education level of husband, work status of respondent, religion | Likelihood of breastfeeding cessation increased with an increase in maternal education |
No education | 0.79 | 0.68, 0.92 | < 0.01 | Cox’s proportional hazard model | ||||
Primary | 0.82 | 0.71, 0.94 | < 0.01 | |||||
Secondary | 0.89 | 0.78, 1.02 | < 0.05 | |||||
Highera | 1.00 | - | - | |||||
Paternal | Â | Â | Â | Â | Age of mother, maternal education, age at marriage, sex of child, parity, contraceptive use, delivery status, place of residence, division/region, work status of respondent, religion | Paternal education was not associated with breastfeeding cessation | ||
No education | 1.00 | 0.92, 1.08 | > 0.1 | Cox’s proportional hazard model | ||||
Primary | 1.00 | 0.93, 1.08 | > 0.1 | |||||
Secondary and highera | 1.00 | - | - | |||||
Akter & Rahman (2010) [46] | Breastfeeding cessation | Maternal |  |  |  |  | Residence, age at marriage, division/region, religion, work status, mother's age, parity, use of contraceptives | Likelihood of breastfeeding cessation increased with an increase in maternal education |
Illiterate | 0.76 | 0.67, 0.87 | 0.00 | Cox’s proportional hazard model | ||||
Primary | 0.82 | 0.72, 0.94 | 0.00 | |||||
Secondary | 0.87 | 0.77, 0.98 | 0.03 | |||||
Highera | 1.00 | - | - | |||||
Akter, et al. (2016) [40] | Immediate Initiation of breastfeeding | Maternal | Â | Â | Â | Â | Unadjusted | The odds of immediate breastfeeding were higher among educated parents |
Secondarya | 1.00 | - | Not mentioned | Logistic regression | ||||
Primary | 0.88 | 0.63, 1.22 | ||||||
No education | 0.79 | 0.57, 1.10 | ||||||
Paternal | Â | Â | Â | Â | ||||
Secondarya | 1.00 | - | Not mentioned | Logistic regression | ||||
Primary | 0.97 | 0.74, 1.26 | ||||||
No education | 0.88 | 0.68, 1.13 | ||||||
Al Mamun et al. (2022) [20] | Exclusive breastfeeding | Maternal |  |  |  |  | Religion, mother’s age, mother’s level of education, type of delivery of the child, birth rank of the child, colostrum feeding of the child, breastfeeding initiation, frequency of breastfeeding, household food insecurity level | Likelihood of exclusive breastfeeding is higher among mothers with various levels of education compared with illiterate mothers |
Illiteratea | 1.00 | - | - | Logistic regression | ||||
Primary | 3.36 | 1.71, 6.60 | 0.00 | |||||
SSC/Dakhil | 1.96 | 0.97, 3.95 | 0.06 | |||||
HSC/Alim | 1.82 | 0.53, 6.30 | 0.34 | |||||
Graduate | 4.41 | 1.00, 19.42 | 0.05 | |||||
Madrasha education* | 5.08 | 1.31, 19.72 | 0.02 | |||||
Timely initiation of complementary feeding | Maternal |  |  |  |  | Mother’s age, mother’s level of education, birth rank of the child, colostrum feeding of the child, breastfeeding initiation, frequency of breastfeeding, household food insecurity level | Compared to illiterate mothers, mothers with SSC/Dakhil and HSC/Alim were less likely to have a timely initiation of complementary feeding and mothers with primary, graduate and madrasa education were more likely to have a timely initiation of complementary feeding | |
Illiteratea | 1.00 | - | - | Logistic regression | ||||
Primary | 1.18 | 0.49, 2.84 | 0.71 | |||||
SSC/Dakhil | 0.71 | 0.29, 1.76 | 0.46 | |||||
HSC/Alim | 0.65 | 0.10, 4.12 | 0.65 | |||||
Graduate | 1.35 | 0.12, 14.80 | 0.81 | |||||
Madrasha education | 2.91 | 0.38, 22.34 | 0.31 | |||||
Ali et al. (2019) [47] | Minimum dietary diversity (dietary diversity score) | Maternal |  |  |  |  | Sex of child, mothers’ age, mothers’ employment status, household monthly expenditure on food, household food security status, wealth quintile | Mothers with no education had more risk of not achieving minimum dietary diversity compared with counterparts |
No educationa | 1.00b | Not mentioned | - | Linear regression | ||||
Primary incomplete | 0.02b | 0.72 | ||||||
Primary to secondary | 0.15b | < 0.05 | ||||||
Basnet et al. (2020) [48] | Exclusive breastfeeding | Maternal | Â | Â | Â | Â | Maternal knowledge, nutritional status, mental well-being, decision-making capacity, employment, support in chores, perceived instrumental support | Maternal education had positive associations with exclusive breastfeeding |
1–5 years schoolinga | 1.00 | Not mentioned | - | Multiple logistic regression | ||||
No schooling | 1.36 | ≥ 0.05 | ||||||
6–9 years schooling | 1.00 | ≥ 0.05 | ||||||
10–12 years schooling | 1.16 | ≥ 0.05 | ||||||
Minimum meal frequency | Maternal | Â | Â | Â | Â | Maternal knowledge, nutritional status, mental well-being, decision-making, employment, support in chores, perceived instrumental support | Maternal education had positive associations with minimum meal frequency | |
1–5 years schoolinga | 1.00 | Not mentioned | - | Multiple logistic regression | ||||
No schooling | 1.18 | ≥ 0.05 | ||||||
6–9 years schooling | 0.95 | ≥ 0.05 | ||||||
10–12 years schooling | 1.18 | ≥ 0.05 | ||||||
Dietary diversity | Maternal | Â | Â | Â | Â | Maternal knowledge, nutritional status, mental well-being, decision-making capacity, employment, support in chores, perceived instrumental support | Negative association were between dietary diversity and no schooling | |
1–5 years schooling | Refb | Not mentioned | - | Multiple linear regression | ||||
No schooling | -0.12b | ≥ 0.05 | ||||||
6–9 years schooling | 0.061b | ≥ 0.05 | ||||||
10–12 years schooling | 0.26b | ≥ 0.05 | ||||||
Blackstone & Sanghvi (2018) [45] | Minimum dietary diversity for 6-23Â m children in 2011 | Maternal | Â | Â | Â | Â | Wealth index, frequency of television watching, frequency of newspaper reading, decision making, place of delivery, number of antenatal visits, employment, region of residence | The minimum dietary diversity was positively associated with the increase in education levels of mothers in 2011 |
No educationa | 1.00 | - | - | Logistic regression | ||||
Primary education | 1.36 | 0.94, 2.00 | ≥ 0.05 | |||||
Secondary + education | 1.91 | 1.25, 2.63 | < 0.01 | |||||
Minimum dietary diversity for 6-23Â m children in 2014 | Maternal | Â | Â | Â | Â | Wealth index, frequency of television watching, frequency of newspaper reading, decision making, place of delivery, number of antenatal visits, employment, region of residence | The minimum dietary diversity was positively associated with the increase in education levels of mothers in 2014 | |
No educationa | 1.00 | - | - | Logistic regression | ||||
Primary education | 1.36 | 0.93, 1.98 | ≥ 0.05 | |||||
Secondary + education | 2.28 | 1.58, 3.27 | < 0.001 | |||||
Complementary feeding for 18-23Â m children in 2011 | Maternal | Â | Â | Â | Â | Wealth index, frequency of television watching, frequency of newspaper reading, decision making, place of delivery, number of antenatal visits, employment, region of residence | The odds of complementary feeding among children were higher if maternal education level was higher in 2011 | |
No educationa | 1.00 | - | - | Logistic regression | ||||
Primary education | 1.45 | 0.80, 2.66 | ≥ 0.05 | |||||
Secondary + education | 1.53 | 0.93, 3.13 | ≥ 0.05 | |||||
Complementary feeding for 18-23Â m children in 2014 | Maternal | Â | Â | Â | Â | Wealth index, frequency of television watching, frequency of newspaper reading, decision making, place of delivery, number of antenatal visits, employment, region of residence | The odds of complementary feeding among children were higher if maternal education level was higher in 2014 | |
No educationa | 1.00 | - | - | Logistic regression | ||||
Primary education | 1.25 | 0.71, 2.21 | ≥ 0.05 | |||||
Secondary + education | 2.58 | 1.49, 4.44 | < 0.01 | |||||
Campbell et al. (2016) [34] | Minimum dietary diversity from home food at age 18Â months | Maternal | Â | Â | Â | Â | Living standard index of socioeconomic status, household food insecurity score, sex | The probability of feeding minimum dietary diversity from home food at age 18Â months was higher among mothers with higher educational levels |
Nonea | 1.00 | - | Not mentioned | Logistic regression | ||||
1–9 years | 1.63 | 1.40, 1.90 | ||||||
SSC passed | 2.51 | 1.83, 3.46 | ||||||
≥ 11 years | 3.72 | 2.72, 5.10 | ||||||
Chowdhury et al. (2016) [37] | Adequate complementary feeding practices | Maternal |  |  |  |  | Children age(months), sex of child, father’s education, father’s employment status, socioeconomic status, watching television, listening radio, reading newspaper/magazine, food insecurity, place of residence, region of residence | Adequate complementary feeding practices were higher among illiterate mothers compared to their literate counterparts |
Illitterate | 1.48 | 0.46, 4.69 | 0.51 | Logistic regression | ||||
Literatea | 1.00 | - | - | |||||
Paternal |  |  |  |  | Children age(months), sex of child, mother’s education, father’s employment status, socioeconomic status, watching television, listening radio, reading newspaper/magazine, food insecurity, place of residence, region of residence | Adequate complementary feeding practices were higher among illiterate fathers compared to their illiterate counterparts | ||
Illitterate | 0.32 | 0.11, 0.95 | 0.04 | Logistic regression | ||||
Literatea | 1.00 | - | - | |||||
Dintyala (2020) [49] | Exclusive breastfeeding at 6 months | Maternal |  |  |  |  | Number of ANC visits, mother’s age, mother’s age, wealth quintile, place of delivery, postnatal breastfeeding counseling, ANC by medically trained persons | Compared to the mothers with higher education, mothers with primary & secondary education had greater odds of exclusive breastfeeding but fewer odds of mothers with no education |
No education | 0.77 | 0.47, 1.24 | 0.28 | Logistic regression | ||||
Primary | 1.16 | 0.78, 1.71 | 0.47 | |||||
Secondary | 1.71 | 1.22, 2.38 | 0.00 | |||||
Highera | 1.00 | - | - | |||||
Giashuddin & Kabir (2004) [50] | Stop breastfeeding | Maternal |  |  |  |  | Maternal age, place of residence, economic status, delivery assistance, preceding birth interval | Mothers with at least secondary level of education were more likely to stop breastfeeding than less or uneducated mothers |
No educationa | 1.00c | - | Not mentioned | Cox’s regression model | ||||
Primary | 0.96c | 0.84, 1.09 | ||||||
Secondary | 1.19c | 1.01, 1.28 | ||||||
Higher | 1.25c | 1.12, 1.86 | ||||||
Hasan et al. (2020) [44] | Early Initiation of breastfeeding | Maternal |  |  |  |  | Maternal age, maternal occupation, family income, live birth, types of delivery, ANC check-up, pre-lacteal feeds given, counseling before delivery, baby’s birth weight, skin-to-skin contact after delivery | Mothers' education level significantly increased the likelihood of early initiation of breastfeeding among mothers |
Illiteratea | 1.00 | - | - | Multiple logistic regression | ||||
Primary | 2.82 | 1.19, 6.67 | 0.019 | |||||
SSC or above | 4.04 | 1.59, 10.26 | 0.003 | |||||
Hossain et al. (2018) [21] | Exclusive breastfeeding | Maternal |  |  |  |  | Region, mother’s age, father’s education, mothers’ occupation, fathers’ occupation, mass media access, BMI of mother, total children ever born, delivery mode for last pregnancy, delivery place, antenatal care, postnatal care for mothers, breastfeeding counseling during first two days, current age of children | Compared to mothers with higher education level, relatively less educated mothers were more likely to exclusively breastfeed their children |
Illiterate | 1.87 | 0.73, 4.76 | 0.19 | Binary multivariable logistic regression | ||||
Primary | 2.28 | 1.05, 4.93 | 0.04 | |||||
Secondary | 1.75 | 0.95, 3.24 | 0.07 | |||||
Highera | 1.00 | - | - | |||||
Paternal |  |  |  |  | Region, mother’s age, mothers’ education, mothers’ occupation, fathers’ occupation, mass media access, BMI of mother, total children ever born, delivery mode for last pregnancy, delivery place, antenatal care, postnatal care for mothers, breastfeeding counseling during first two days, current age of children | Compared to fathers with higher education, fathers with secondary or no education had higher odds of achieving exclusive breastfeeding in contrast to fathers with primary level of education | ||
Illiterate | 1.16 | 0.54, 2.51 | 0.70 | Binary multivariable logistic regression | ||||
Primary | 0.98 | 0.50, 1.92 | 0.96 | |||||
Secondary | 1.24 | 0.69, 2.25 | 0.47 | |||||
Highera | 1.00 | - | - | |||||
Islam et al. (2019) [6] | Breastfeeding continuation | Maternal |  |  |  |  | Division (administrative region), place of residence, father’s education level, religion, wealth index, mother’s body mass index, source of drinking water, toilet facility, household member, currently amenorrhea, currently abstaining, sex of child, child is twin | Breastfeeding duration was negatively associated with parental education |
Illiteratea | 1.00 | Not mentioned | - | Polytomous Logistic regression | ||||
Primary | 1.03 | 0.80 | ||||||
Secondary | 1.02 | 0.88 | ||||||
Higher | 0.75 | 0.08 | ||||||
Paternal |  |  |  |  | Division (administrative region), place of residence, mother’s education level, religion, wealth index, mother’s body mass index, source of drinking water, toilet facility, household member, currently amenorrhea, currently abstaining, sex of child, child is twin | |||
Illiteratea | 1.00 | Not mentioned | - | Polytomous Logistic regression | ||||
Primary | 0.67 | 0.00 | ||||||
Secondary | 0.68 | 0.00 | ||||||
Higher | 0.73 | 0.03 | ||||||
Islam et al. (2019) [51] | Early breastfeeding Initiation | Maternal |  |  |  |  | Division (administrative region), type of residence, place of delivery, Mother’s BMI, age at first marriage, wealth index, age at first birth, antenatal care visit, mode of delivery | The higher the level of mothers’ educational attainments, the lower the odds of early initiation of breastfeeding |
Uneducateda | 1.00 | - | - | Multivariable logistic regression | ||||
Primary | 0.87 | 0.70, 1.09 | 0.22 | |||||
Secondary | 0.81 | 0.66, 0.99 | 0.05 | |||||
Higher | 0.58 | 0.44, 0.78 | 0.00 | |||||
Jain & Bongaarts (1981) [32] | Breastfeeding continuation | Maternal | Â | Â | Â | Â | Age, parity, infant deaths, residence, sex of child, workplace of wife | Highly educated mothers breastfed their children for a shorter duration |
Not highly educateda | 1.00b | Not mentioned | Not mentioned | Multiple linear regression | ||||
Highly educated | -5.99b | |||||||
Kabir et al. (2012) [5] | Not introducing solid, semi solid, and soft foods to infants 6–8 months | Maternal |  |  |  |  | Gender of baby, age of child, birth order, preceding birth interval, diarrhea, ARI (acute respiratory infection), maternal age, maternal age at child’s birth, mother’s literacy, mother’s working status, mother’s BMI, mother’s religion, father’s education, father’s occupation, marital status, source of drinking water, household wealth index, reads newspaper or magazine, listens to radio, watches television, mode of delivery, type of delivery assistance, antenatal clinic visit, timing of postnatal checkup, residence, geographical region | Mothers with higher educational attainments were more likely to introduce solid, semi solid & soft foods to their children of 6–8 months of age |
Secondary & abovea | 1.00 | - | - | Logistic regression | ||||
Primary | 2.31 | 1.07, 4.96 | 0.03 | |||||
No education | 2.14 | 1.08, 4.23 | 0.03 | |||||
Not meeting minimum dietary diversity among children aged 6–23 months | Maternal |  |  |  |  | Gender of baby, age of child, birth order, preceding birth interval, diarrhea, ARI (acute respiratory infection), maternal age, maternal age at child’s birth, mother’s literacy, mother’s working status, mother’s BMI, mother’s religion, father’s education, father’s occupation, marital status, source of drinking water, household wealth index, reads newspaper or magazine, listens to radio, watches television, mode of delivery, type of delivery assistance, antenatal clinic visit, timing of postnatal checkup, residence, geographical region | Mothers with higher educational attainments were more likely to attain minimum dietary diversity for their children aged 6–23 months of age | |
Secondary & abovea | 1.00 | - | - | Logistic regression | ||||
Primary | 1.41 | 1.03, 1.94 | 0.03 | |||||
No education | 1.69 | 1.14, 2.54 | 0.01 | |||||
Not meeting the minimum meal frequency among children aged 6–23 months | Maternal |  |  |  |  | Gender of baby, age of child, birth order, preceding birth interval, diarrhea, ARI (acute respiratory infection), maternal age, maternal age at child’s birth, mother’s literacy, mother’s working status, mother’s BMI, mother’s religion, father’s education, father’s occupation, marital status, source of drinking water, household wealth index, reads newspaper or magazine, listens to radio, watches television, mode of delivery, type of delivery assistance, antenatal clinic visit, timing of postnatal checkup, residence, geographical region | Mothers with higher educational attainments were more likely to meet minimum meal frequency for their children aged 6–23 months of age | |
Secondary & abovea | 1.00 | - | - | Logistic regression | ||||
Primary | 1.26 | 0.88, 1.82 | 0.21 | |||||
No education | 1.70 | 1.09, 2.67 | 0.02 | |||||
Not meeting minimum acceptable diet | Maternal |  |  |  |  | Gender of baby, age of child, birth order, preceding birth interval, diarrhea, ARI (acute respiratory infection), `maternal age, maternal age at child’s birth, mother’s literacy, mother’s working status, mother’s BMI, mother’s religion, father’s education, father’s occupation, marital status, source of drinking water, household wealth index, reads newspaper or magazine, listens to radio, watches television, mode of delivery, type of delivery assistance, antenatal clinic visit, timing of postnatal checkup, residence, geographical region | Mothers with higher educational attainments were more likely to meet a minimum acceptable diet for their children | |
Secondary & abovea | 1.00 | - | - | Logistic regression | ||||
Primary | 1.36 | 1.01, 1.84 | 0.05 | |||||
No education | 1.73 | 1.20, 2.49Â | 0.003 | |||||
Karim et al. (2019) [52] | Early Breastfeeding Initiation | Maternal |  |  |  |  | Mother’s age at childbirth, mother’s religion, wealth index, place of residence, division, birth order of child, number of ANC visits, mode of delivery, place of delivery, child’s size at birth, PNC within one hour of childbirth, skin-to-skin contact | Mothers with higher levels of education were less likely to initiate early breastfeeding compared to uneducated mothers |
No educationa | 1.00 | - | - | Multivariable logistic regression | ||||
Primary | 0.96 | 0.70, 1.32 | 0.79 | |||||
Secondary or higher | 0.97 | 0.71, 1.32 | 0.86 | |||||
Khan et al. (2020) [41] | Breastfeeding termination | Maternal |  |  |  |  | Survey year, heard about family planning, division, child’s sex, maternal age at childbirth, fathers’ education, maternal working status, contraceptive use, maternal malnutrition, birth order, wealth index, religion, exposure to media, and place of residence | Educated mothers were more likely to terminate breastfeeding their children earlier |
No educationa | 1.00 | Not mentioned | - | Cox’s proportional hazard model | ||||
Primary education | 1.41 | < 0.05 | ||||||
Secondary or higher | 1.70 | < 0.001 | ||||||
Paternal |  |  |  |  | Survey year, heard about family planning, division, child’s sex, maternal age at childbirth, mothers’ education, maternal working status, contraceptive use, maternal malnutrition, birth order, wealth index, religion, exposure to media, and place of residence | The risk of breastfeeding termination was higher among children with paternal secondary or higher education and lower among with paternal primary education compared to their uneducated counterparts | ||
No educationa | 1.00 | Not mentioned | ≥ 0.05 | Cox’s proportional hazard model | ||||
Primary education | 0.94 | ≥ 0.05 | ||||||
Secondary or higher | 1.06 | ≥ 0.05 | ||||||
Khan et al. (2022) [53] | Minimum dietary diversity (MDD) | Maternal | Â | Â | Â | Â | Number of HH member, age of HH head, sex of HH head, maternal occupation, maternal malnutrition, sex of children, age of children, maternal age at childbirth, morbidity, maternal decision making, place of residence, wealth index, paternal occupation, birth order, religion, exposure to media, ANC visit, PNC Visit | Maternal education levels were positively associated with minimum dietary diversity of their children |
No educationa | 1.00 | - | - | Multilevel logistic regression | ||||
Primary | 1.35 | 0.91, 2.00 | < 0.05 | |||||
Secondary | 2.48 | 1.68, 3.67 | < 0.05 | |||||
Higher | 3.86 | 2.40, 6.20 | < 0.05 | |||||
Minimum meal frequency (MMF) | Maternal | Â | Â | Â | Â | Number of HH member, age of HH head, sex of HH head, maternal occupation, maternal malnutrition, sex of children, age of children, maternal age at childbirth, morbidity, maternal decision making, place of residence, wealth index, paternal occupation, birth order, religion, exposure to media, ANC visit, PNC visit | Maternal education levels were positively associated with minimum meal frequency of their children | |
No educationa | 1.00 | - | - | Multilevel logistic regression | ||||
Primary | 0.99 | 0.72, 1.37 | < 0.05 | |||||
Secondary | 1.43 | 1.04, 1.98 | < 0.05 | |||||
Higher | 1.82 | 1.18, 2.79 | < 0.05 | |||||
Minimum acceptable diet (MAD) | Maternal | Â | Â | Â | Â | Number of HH member, age of HH head, sex of HH head, maternal occupation, maternal malnutrition, sex of children, age of children, maternal age at childbirth, morbidity, maternal decision making, place of residence, wealth index, paternal occupation, birth order, religion, exposure to media, ANC visit, PNC visit | Maternal education levels were positively associated with minimum acceptable diet of their children | |
No educationa | 1.00 | - | - | Multilevel logistic regression | ||||
Primary | 0.98 | 0.71, 1.35 | < 0.05 | |||||
Secondary | 1.38 | 1.00, 1.90 | < 0.05 | |||||
Higher | 1.72 | 1.13, 2.61 | < 0.05 | |||||
Mihrshahi et al. (2010) [54] | Not timely initiation of breastfeeding | Maternal | Â | Â | Â | Â | Unadjusted | The odds of not timely initiation of breastfeeding decreased with an increase in parental education |
Nonea | 1.00 | - | - | Logistic regression | ||||
Primary | 0.77 | 0.53, 1.12 | ≥ 0.05 | |||||
Secondary or above | 0.61 | 0.44, 0.84 | < 0.01 | |||||
Paternal | Â | Â | Â | Â | ||||
Nonea | 1.00 | - | - | Logistic regression | ||||
Primary | 0.81 | 0.61, 1.07 | ≥ 0.05 | |||||
Secondary or above | 0.59 | 0.38, 0.92 | < 0.05 | |||||
Not exclusively breastfeeding | Maternal |  |  |  |  | Maternal working status, mother’s marital status, husband’s education, mother’s age, birth order of child, preceding birth interval, sex of child, age of child, place of delivery, type of delivery assistance, number of antenatal care visits, timing of postnatal checkups, mother’s BMI, mother reads newspaper, mother listens to radio, mother watches television, household wealth index number of categories of decision in which women have final say, region of residence, geographic region | Odds of not exclusively breastfeeding was higher among educated mothers compared to non-educated groups | |
Nonea | 1.00 | - | - | Multiple logistic regression | ||||
Primary | 2.23 | 1.32, 3.76 | < 0.01 | |||||
Secondary or above | 1.82 | 0.94, 3.55 | ≥ 0.05 | |||||
Bottle feeding practice | Paternal |  |  |  |  | Maternal working status, mother’s marital status, husband’s education, mother’s age, birth order of child, preceding birth interval, sex of child, age of child, place of delivery, type of delivery assistance, number of antenatal care visits, timing of postnatal checkups, mother’s BMI, mother reads newspaper, mother listens to radio, mother watches television, household wealth index number of categories of decision in which women have final say, region of residence, geographic region | Odds of bottle-feeding practices were increased with the increase in paternal education | |
Nonea | 1.00 | - | - | Multiple logistic regression | ||||
Primary | 1.06 | 0.73, 1.54 | ≥ 0.05 | |||||
Secondary or above | 2.17 | 1.30, 3.64 | < 0.01 | |||||
Not given timely complementary foods | Maternal | Â | Â | Â | Â | Unadjusted | The odds of not timely giving complementary foods decreased with an increase in maternal education | |
Nonea | 1.00 | - | - | Multiple logistic regression | ||||
Primary | 0.85 | 0.48, 1.50 | ≥ 0.05 | |||||
Secondary or above | 0.62 | 0.37, 1.06 | ≥ 0.05 | |||||
Paternal | Â | Â | Â | Â | ||||
Nonea | 1.00 | - | - | Multiple logistic regression | ||||
Primary | 0.57 | 0.35, 0.93 | < 0.05 | |||||
Secondary or above | 0.59 | 0.29, 1.20 | ≥ 0.05 | |||||
Na et al. (2018) [42] | Introduction of solid, semi-solid, and soft foods | Maternal |  |  |  |  | Year, children’s age, birth order, birth interval, age-appropriate vaccination, maternal age, BMI, type of delivery assistance, antenatal care visits, father’s age, paternal education, household wealth, geographical region, rank of access to healthcare | Introduction of solid, semi-solid & soft foods was positively associated with maternal education |
No education | 0.68 | 0.46, 1.03 | 0.07 | Multivariable multilevel logistic regression | ||||
Primary | 0.89 | 0.64, 1.24 | 0.49 | |||||
Secondary or highera | 1.00 | - | - | |||||
Paternal |  |  |  |  | Year, children’s age, birth order, birth interval, age-appropriate vaccination, maternal age, education, BMI, type of delivery assistance, antenatal care visits, father’s age, household wealth, geographical region, rank of access to healthcare | Compared to secondary or higher educated fathers, primary educated fathers had higher and uneducated fathers had lower odds of introducing solid, semi-solid, and soft foods | ||
No education | 0.86 | 0.59, 1.24 | 0.41 | Multivariable multilevel logistic regression | ||||
Primary | 1.29 | 0.92, 1.80 | 0.14 | |||||
Secondary or highera | 1.00 | - | - | |||||
Minimum meal frequency | Maternal |  |  |  |  | Year, children’s age, birth order, birth interval, age-appropriate vaccination, maternal age, BMI, type of delivery assistance, antenatal care visits, father’s age, paternal education, household wealth, geographical region, rank of access to healthcare | Mothers with higher educational attainments were more likely to attain minimum meal frequency for their children | |
No education | 0.71 | 0.59, 0.86 | < 0.001 | Multivariable multilevel logistic regression | ||||
Primary | 0.74 | 0.64, 0.85 | < 0.001 | |||||
Secondary or highera | 1.00 | - | - | |||||
Paternal |  |  |  |  | Year, children’s age, birth order, birth interval, age-appropriate vaccination, maternal age, education, BMI, type of delivery assistance, antenatal care visits, father’s age, household wealth, geographical region, rank of access to healthcare | Fathers with higher education attainment had less likelihood of attaining minimum meal frequency for their children | ||
No education | 0.92 | 0.78, 1.09 | 0.32 | Multivariable multilevel logistic regression | ||||
Primary | 1.03 | 0.89, 1.19 | 0.70 | |||||
Secondary or highera | 1.00 | - | - | |||||
Minimum dietary diversity | Maternal |  |  |  |  | Year, children’s age, birth order, birth interval, age-appropriate vaccination, maternal age, BMI, type of delivery assistance, antenatal care visits, father’s age, paternal education, household wealth, geographical region, rank of access to healthcare | Mothers with higher educational attainments were more likely to achieve minimum dietary diversity for their children | |
No education | 0.54 | 0.40, 0.73 | < 0.001 | Multivariable multilevel logistic regression | ||||
Primary | 0.71 | 0.58, 0.86 | < 0.01 | |||||
Secondary or highera | 1.00 | - | - | |||||
Paternal |  |  |  |  | Year, children’s age, birth order, birth interval, age-appropriate vaccination, maternal age, education, BMI, type of delivery assistance, antenatal care visits, father’s age, household wealth, geographical region, rank of access to healthcare | Fathers with higher educational attainments were more likely to achieve minimum dietary diversity for their children | ||
No education | 0.76 | 0.59, 0.96 | < 0.05 | Multivariable multilevel logistic regression | ||||
Primary | 0.87 | 0.73, 1.05 | 0.16 | |||||
Secondary or highera | 1.00 | - | - | |||||
Minimum acceptable diet | Maternal |  |  |  |  | Year, children’s age, birth order, birth interval, age-appropriate vaccination, maternal age, BMI, type of delivery assistance, antenatal care visits, father’s age, paternal education, household wealth, geographical region, rank of access to healthcare | Mothers with higher educational attainments were more likely to achieve minimum acceptable diet for their children | |
No education | 0.57 | 0.41, 0.78 | < 0.01 | Multivariable multilevel logistic regression | ||||
Primary | 0.79 | 0.65, 0.97 | < 0.05 | |||||
Secondary or highera | 1.00 | - | - | |||||
Paternal |  |  |  |  | Year, children’s age, birth order, birth interval, age-appropriate vaccination, maternal age, education, BMI, type of delivery assistance, antenatal care visits, father’s age, household wealth, geographical region, rank of access to healthcare | Fathers with higher educational attainments were more likely to achieve minimum acceptable diet for their children | ||
No education | 0.74 | 0.57, 0.95 | < 0.05 | Multivariable multilevel logistic regression | ||||
Primary | 0.87 | 0.71, 1.05 | 0.15 | |||||
Secondary or highera | 1.00 | - | - | |||||
Nguyen et al. (2013) [55] | Dietary diversity (complementary feeding) | Maternal |  |  |  |  | Maternal dietary diversity, age, knowledge, self-perceived physical health, income, decision making in buying foods, food security, socioeconomic status, mother as household head, number of children, child’s sex | Maternal education was positively associated with achieving dietary diversity of children |
No schoolinga | 1.00b | - | - | Multivariable linear regression | ||||
Primary | 0.11b | -0.08, 0.30 | < 0.05 | |||||
Secondary | 0.20b | -0.13, 0.52 | < 0.05 | |||||
College or higher | 0.80b | 0.39, 1.22 | < 0.001 | |||||
Rahman et al. (2011) [56] | Early breastfeeding initiation | Maternal |  |  |  |  | Mother’s age at birth, residence, sex of child, birth interval, wealth autonomy, antenatal care, frequency of mass media exposure, wealth index, delivery assistance | Maternal education was positively associated with early initiation of breastfeeding |
No educationa | 1.00 | - | - | Logistic regression | ||||
Primary | 1.40 | 0.28, 1.86 | < 0.05 | |||||
Secondary | 1.80 | 0.94, 2.98 | < 0.05 | |||||
Rahman et al. (2020) [33] | Exclusive breastfeeding | Maternal |  |  |  |  | Mother’s age at first birth, sex of child, religion, asset score, fathers’ education,  repeated pregnancy, religion, area, place of delivery, mode of delivery, history of 4 + ANC | Compared to mothers with secondary or higher education, mothers with no education and mothers with primary education were more likely to exclusively breastfeed their children |
No education | 1.02 | 0.63, 1.66 | Not mentioned | Cox’s proportional hazard model | ||||
Primary | 1.03 | 0.85, 1.24 | ||||||
Secondary or highera | 1.00 | - | ||||||
Paternal |  |  |  |  | Mother’s age at first birth, sex of child, religion, asset score, mothers’ education,  repeated pregnancy, religion, area, place of delivery, mode of delivery, history of 4 + ANC | Exclusive breastfeeding increased for children whose father had primary level of education but decreased in case of uneducated fathers | ||
No education | 0.89 | 0.76, 1.05 | Not mentioned | Cox’s proportional hazard model | ||||
Primary | 1.11 | 0.91, 1.34 | ||||||
Secondary or highera | 1.00 | - | ||||||
Rana et al. (2020) [57] | Exclusive breastfeeding | Maternal | Â | Â | Â | Â | Maternal age, religion, delivery place, occupation, type of family, monthly income | Mothers with higher levels of education were more likely to achieve exclusive breastfeed compared to the uneducated mothers |
Illiteratea | 1.00 | - | - | Binary logistic regression | ||||
Primary | 1.19 | 0.41, 3.55 | 0.75 | |||||
Secondary & higher | 1.44 | 0.60, 3.45 | 0.42 | |||||
Sakib et al. (2021) [58] | Early breastfeeding initiation | Maternal | Â | Â | Â | Â | Unadjusted | Compared to illiterate mothers, mothers with higher levels of education were less likely to initiate early breastfeeding for their children |
Illiteratea | - | - | - | Multinomial logistic regression | ||||
Primary | 1.55 | 1.14, 2.11 | < 0.01 | |||||
Secondary | 1.53 | 1.14, 2.06 | < 0.01 | |||||
Higher | 1.50 | 1.08, 2.10 | < 0.01 | |||||
Sen et al. (2020) [38] | Early breastfeeding initiation | Parental | Â | Â | Â | Â | Survey time, maternal age at birth, gender of newborn, area of residence, birth order, wanted index child, place of delivery, mode of delivery, ANC visits, wealth index, exposure of media, division | Early initiation of breastfeeding was higher for parents with higher educational attainments |
Both uneducateda | 1.00 | - | - | Binary logistic regression | ||||
Any one educated | 1.11 | 1.03, 1.19 | < 0.01 | |||||
Both educated | 1.12 | 1.03, 1.22 | < 0.001 | |||||
Senarath et al. (2012) [59] | Not introduction of solid, semi-solid or soft food (6–8 months) | Maternal |  |  |  |  | Age of children, birth order, diarrhoea, mother’s age, mother working status, mother’s BMI, father’s occupation, reads newspaper, household wealth index, religion, antenatal clinic visits, geographical region, | Mothers with higher educational attainments were more likely to timely introduce solid, semi-solid & soft foods to their children compared to uneducated mothers |
Secondary and abovea | 1.00 | - | - | Multiple logistic regression | ||||
Primary | 2.31 | 1.07, 4.96 | 0.03 | |||||
No education | 2.14 | 1.08, 4.23 | 0.03 | |||||
Inappropriate dietary diversity (6–23 months) | Maternal |  |  |  |  | Child’s age, acute respiratory infection, mother working status, mother’s height, mother’s BMI, decision making at household(maternal), household wealth index, reads newspaper, watches television, listen to radio, antenatal clinic visits, number of postnatal visits by public health midwives, timing of postnatal checkup, type of residence, geographical region, | Mothers with higher educational attainments were more likely to practice appropriate dietary diversity for their children than uneducated mothers | |
Secondary and abovea | 1.00 | - | - | Multiple logistic regression | ||||
Primary | 1.41 | 1.03, 1.94 | 0.03 | |||||
No education | 1.70 | 1.14, 2.54 | 0.01 | |||||
Inadequate meal frequency (6–23 months) | Maternal |  |  |  |  | Child’s age, mother working status, mother’s BMI, decision making at household(maternal), household wealth index, reads newspaper, listen to radio, watches television, exposure to media, antenatal clinic visits, antenatal home visits by public health midwives, type of residence, geographical region | Mothers with higher educational attainments were more likely to achieve adequate meal frequency for their children compared to uneducated mothers | |
Secondary and abovea | 1.00 | - | - | Multiple logistic regression | ||||
Primary | 1.26 | 0.88, 1.82 | 0.21 | |||||
No education | 1.70 | 1.09, 2.67 | 0.02 | |||||
Not meeting minimum acceptable diet (6–23 months) | Maternal |  |  |  |  | Child’s age, acute respiratory infection, mother working status, mother’s height, mother’s BMI, decision making at household(maternal), household wealth index, reads newspaper, listen to radio, exposure to media, antenatal clinic visits, antenatal home visits by public health midwives, type of residence, geographical region | Mothers with higher educational attainments were more likely to meet a minimum acceptable diet for their children compared to uneducated mothers | |
Secondary and abovea | 1.00 | - | - | Multiple logistic regression | ||||
Primary | 1.36 | 1.01, 1.84 | 0.05 | |||||
No education | 1.73 | 1.20, 2.49 | 0.00 | |||||
Shahjahan et al. (2012) [60] | Early breastfeeding initiation | Maternal |  |  |  |  | Mother’s age, birth order, wealth index, religion, sex of child, antenatal checkup | Early initiation of breastfeeding was higher among mothers with higher educational attainments |
No educationa | 1.00 | - | Not mentioned | Logistic regression | ||||
Primary | 1.20 | 1.00, 1.40 | ||||||
Secondary | 1.60 | 1.20, 2.20 | ||||||
Sundaram et al. (2013) [43] | Pre-lacteal feeding or early neonatal feeding (ENF) | Maternal |  |  |  | Multiple logistic regression | Mother’s age, primigravidity, wealth quintile, perception of child size at birth, male child gender, behavior (normal suckling at birth), birth location, assistant present at birth, number of antenatal care visits, participation in BRAC microcredit program | Mothers who passed class nine were less likely to practice pre-lacteal feeding or early neonatal feeding compared to mothers who didn’t pass class. |
Passed class nine | 0.8 | 0.70, 0.90 | < 0.05 | |||||
Did not pass class ninea | 1.0 | - | - | |||||
Maternal | Â | Â | Â | |||||
Literate | 1.0 | 0.90, 1.20 | < 0.05 | |||||
Illiteratea | 1.0 | - | - | |||||
Tariqujjaman et al. (2022) [61] | Early initiation of breastfeeding | Maternal |  |  |  |  | Mothers’ age, age of children, sex of the children, type of place of residence, wealth index | Mothers with at least secondary education were less likely to practice early initiation of breastfeeding for their children compared to mothers with less than secondary education |
< secondarya | 1.00 | - | - | Generalized estimating equation model linked with log-binomial model | ||||
≥ secondary | 0.84 | 0.72, 0.99 | 0.04 | |||||
Exclusive breastfeeding | Maternal |  |  |  |  | Mothers’ age, age of children, sex of the children, type of place of residence, wealth index | Mothers who had at least secondary education were less likely to exclusively breastfeed their children compared to mothers with less than secondary level of education | |
< secondarya | 1.00 | - | - | Generalized estimating equation model linked with log-binomial model | ||||
≥ secondary | 0.89 | 0.65, 1.23 | 0.37 | |||||
Continued breastfeeding at year 1 | Maternal |  |  |  |  | Mothers’ age, age of children, sex of the children, type of place of residence, wealth index | Mothers who had at least secondary education were more likely to continue breastfeeding their children throughout year 1 compared to mothers with less than secondary education | |
< secondarya | 1.00 | - | - | Generalized estimating equation model linked with log-binomial model | ||||
≥ secondary | 1.04 | 0.99, 1.09 | 0.29 | |||||
Introduction of solid semi-solid and soft foods | Maternal |  |  |  |  | Mothers’ age, age of children, sex of the children, type of place of residence, wealth index | Mothers who had at least secondary education were more likely to timely introduce solid, semi-solid & soft foods than their counterparts | |
< secondarya | 1.00 | - | - | Generalized estimating equation model linked with log-binomial model | ||||
≥ secondary | 1.04 | 0.90,1.21 | 0.90 | |||||
Minimum dietary diversity | Maternal |  |  |  |  | Mothers’ age, age of children, sex of the children, type of place of residence, wealth index | Mothers who had at least secondary education were more likely to achieve minimum dietary diversity for their children than mothers with less than secondary education | |
< secondarya | 1.00 | - | - | Generalized estimating equation model linked with log-binomial model | ||||
≥ secondary | 1.85 | 1.51,2.27 | < 0.001 | |||||
Minimum meal frequency | Maternal |  |  |  |  | Mothers’ age, age of children, sex of the children, type of place of residence, wealth index | Mothers who had at least secondary education were more likely to achieve minimum meal frequency for their children than mothers with less than secondary education | |
< secondarya | 1.00 | - | - | Generalized estimating equation model linked with log-binomial model | ||||
≥ secondary | 1.02 | 0.97, 1.07 | 0.002 | |||||
Minimum acceptable diet | Maternal |  |  |  |  | Mothers’ age, age of children, sex of the children, type of place of residence, wealth index | Mothers who had at least secondary education were more likely to achieve minimum acceptable diet for their children than mothers with less than secondary education | |
< secondarya | 1.00 | - | - | Generalized estimating equation model linked with log-binomial model | ||||
≥ secondary | 1.81 | 1.47–2.22 |  < 0.001 | |||||
Consumption of iron-rich or iron-fortified foods | Maternal |  |  |  |  | Mothers’ age, age of children, sex of the children, type of place of residence, wealth index | Mothers with equal or more than secondary education had higher odds of feeding iron rich/fortified foods compared to their counterparts | |
< secondarya | 1.00 | - | - | Generalized estimating equation model linked with log-binomial model | ||||
≥ secondary | 1.69 | 1.36, 2.10 |  < 0.001 |