Research Article | | Peer-Reviewed

Maternal Factors, Feeding Practices and Morbidity Status of Children Aged 0-6 Months Attending Kwanza Hospital’s Well-Baby Clinic

Received: 18 December 2024     Accepted: 6 January 2025     Published: 23 January 2025
Views:       Downloads:
Abstract

Good nutrition in early life is key to building the body’s immunity and good health in later years. For children aged 0-6 months, exclusive breastfeeding (EBF) is widely advocated as the optimum practice. In Kenya, exclusive breastfeeding rates are still low. The purpose of this study was to determine the maternal factors, feeding practices and morbidity among children aged 0 to 6 months attending well baby clinic at Kwanza Hospital, Trans-Nzoia, Kenya. A cross-sectional analytical design was utilized and systematic sampling used to attain the sample size of 151 children. Questionnaires, focus group discussion and key informant guides were employed in data collection. SPSS version 28 was used for data analysis. To evaluate the results, descriptive statistics, chi-square test, ODDs ratio and logistic regression were employed. Majority (63.5%) of the children were aged 0-3 months. More than half (52%) of the children were on EBF, over a quarter (26.2%) were given prelacteal feeds and nearly half (41.2%) reported sick. The findings revealed associations between mode of delivery with breastfeeding status (p-value 0.0001), marital status with breastfeeding frequency (OR 5.23, 95% CI 1.90-14.36, p-value 0.001), maternal illness with use of prelacteal feeds and morbidity with monthly income. Logistic regression was conducted using the Maximum Likelihood Estimation method (MLE). There was a significant relationship between monthly income and the likelihood of a child being sick (p=0.036). The relationship was a weak positive relationship (r=0.063, r2=0.004). The study concludes that feeding practices among children aged 0-6 months were inadequate (use of prelacteals, mixed feeding and replacement feeding) in relation to World Health Organization standards. Nearly half (41.2%) of the children (0-6 months) suffered from childhood morbidities. This study suggests strengthening of exclusive breastfeeding health talks by health institutions, strengthening preventive strategies to reduce childhood illnesses, counseling and support for mothers having children before marriage.

Published in International Journal of Nutrition and Food Sciences (Volume 14, Issue 1)
DOI 10.11648/j.ijnfs.20251401.14
Page(s) 28-41
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2025. Published by Science Publishing Group

Keywords

Maternal Factors, Feeding Practices, Morbidity, Prelacteal Feeds, Exclusive Breastfeeding

1. Introduction
Optimal nutrition in early childhood promotes long-term health . On the other hand, inadequate feeding practices are responsible for 11.6% of child mortalities globally . This is a setback to Sustainable Development Goal (SDG) 3 that aims at reducing morbidities and ending preventable deaths . Optimal feeding upholds SDG 3 and also aligns with the Breast Milk Substitute Regulations Act (2012). This act seeks to uphold breast milk amongst other feeds. For children aged 0 to 6 months, to provide the best possible growth, World Health Organization (WHO) promotes exclusive breastfeeding . Exclusive breastfeeding (EBF) practice is key to upscaling universal health care as one of the pillars of the “big four” agenda in Kenya . Breast milk is characterized by immunological properties that prevent infectious and chronic diseases . This enhances the lives of millions of children and prevents under five deaths annually .
Child morbidity is a global problem with under-fives bearing the brunt, where 75% of deaths occur within the first year, as a result of childhood morbidities . The common childhood morbidities in developing countries include respiratory diseases, diarrhea, pneumonia, fever and malaria contributing to approximately 760,000 morbidities yearly . In Africa, diarrheal diseases are highly prevalent among the under-fives causing up to 330,000 deaths yearly and also high prevalence of fever and malaria . In Kenya, like other developing countries, childhood morbidities remain to be a challenge where every child under the age of five experiences diarrhea in a year while malaria contributes up to 20% of child deaths in the country . In Nairobi informal settlements, 16.6% of children born of younger mothers had diarrhea and a similar proportion (16.3%) observed among older mothers . At the Coast, majority (70%) of hospitalized Malaria was among children aged 6 months to 4 years . In Trans-Nzoia County, 17.8% of under-five children presented with fever . Most studies have looked at health-seeking behaviour and prevalence of a particular disease among the overall under-five population with less focus on other co-morbidities that can be present in the 0 to 6 months’ age group.
Worldwide, EBF is at 43.5%, 16.6% mixed feeding (MF), and 9.4% exclusive replacement feeding (ERF) . Between 2000 and 2018, Sub-Saharan Africa had a 34% prevalence of . In Kenya, EBF lies at 60% with varying data from different parts of the country. In Naivasha, mothers who work exhibited a low prevalence of EBF . In Meru County, 13% of children aged 0 to 6 months were introduced to liquids other than breast milk, 10% were on predominant breastfeeding and 27% cumulative EBF in mother to mother support groups having education and income generating activities . In Nyando district, based on 24-hour recall, continuous EBF was higher (44%) among parents who underwent couple counselling and lower (33%) in maternal counselling . In Kiambu level 4 hospital, a study done among HIV exposed infants revealed EBF rate of 71.4%, 10.4% exclusive replacement feeding and 18.2% mixed feeding.
In Trans-Nzoia County, there is limited data on EBF trends. The suboptimal practices have tremendous effect to the child’s health including increased morbidity and mortality Attributes 11.6% of under-five deaths to sub-optimal breastfeeding practices. Other effects include stunting and increased infections especially where hygiene is not observed . Since it is expected that children aged 0 to 6 months are exclusively breastfed, numerous studies have focused on feeding practices among older children (6-59 months) with little information available on children aged 0-6 months. Furthermore, there’s lack of evidence of previous literature on the prevalence of EBF in KSCH, Trans-Nzoia. Mothers’ self-efficacy can influence feeding practices where sub-optimal practices are attributed to a variety of maternal and child-related issues . Mother’s work status and marital status are related to child fever disease. Children from separated and single mothers are highly associated with fever disease as opposed to those who are married . Consequently, high rates of breastfeeding are largely reported among those who are married hence influencing the morbidity rates since breast milk is known to have immunological properties . This study focused on maternal awareness, maternal illnesses, breastfeeding complications, place and mode of delivery amongst mothers of children aged 0 to 6 months attending well baby clinic (WBC) at Kwanza Sub-County Hospital (KSCH). The study also aimed to ascertain the morbidity status and feeding practices of the study children.
2. Materials and Methods
2.1. Research Design and Study Variables
An analytical cross-sectional design was used to determine maternal factors, feeding practices and morbidity among children aged 0 to 6 months in KSCH, Kenya. This design allows data from a group of participants to be gathered once in time, allowing for the measurement of associations and establishing relationships between various components within a defined population. The design was preferred to provide description of the variables and establish relationships between maternal factors, feeding practices and morbidity. The study involved three independent and two dependent variables. The independent variables were maternal factors, demographic characteristics of children aged 0 to 6 months, socio-economic and socio-demographic characteristics of caregivers. The dependent variables were feeding practices and morbidity among children aged 0 to 6 months. This enabled the researcher to understand how an independent variable impacts a variety of diverse dependent variables and allowed numerous study questions.
2.2. Study Area and Study Population
The research was carried out at KSCH, Kwanza constituency, Trans-Nzoia County. Kwanza Sub County has a population of 4172 children aged 0-11 months, 2089 males and 2083 females . It has food poverty estimate of 28.1% of its population. The percentage distribution of household consumption patterns includes 82.1% (purchase/stock),11.3% (own production) and 6.6% (gifts) . Kwanza Sub-County has approximately 25,376 hectares of agricultural land where 26,223 of the population practice crop production and 18,991 practice livestock production, maize being the leading crop production. Kwanza ward was selected for the study since it has the highest population (approximately 55,647) after Kapomboi ward . Children aged 0 to 6 months old who visited WBC at Kwanza Hospital, Trans Nzoia County from 1/9/2023 to 29/9/2023 were the target population for this study. Their caregivers participated in the study as respondents to determine the maternal factors, feeding practices and morbidity among the children. This age group (0 to 6 months) is the one commonly affected by the researcher’s variables including different feeding practices such as mixed feeding and exclusive replacement feeding. Caregivers and children aged 0 to 6 months who were ill or admitted at the time of study, and those who were unwilling to be part of the study were excluded.
2.3. Sample Size Determination
Fisher’s formula was utilized to determine the sample size. EBF being the most common indicator among other feeding practices for children aged 0 to 6 months, a national EBF prevalence rate of 60% was used.
n=Z2pqe2
When the population exceeds 10,000, n=the sample size
Z = the standard deviation at 95% confidence level (1.96)
p = the estimated rate of child feeding practices on the target population
n=1.961.960.600.400.050.05=369
Fisher et al., (1998) formula was used for populations under 10,000:
nf=n/1+(n/N)
Where; nf = the sample when the population is less than 10,000. n= sample, when the total population exceeds 10,000. N= Estimated monthly population of 0 to 6 months’ children attending WBC
nf=369/1+369/220=138
The sample size was raised by 10%, making a total of 151 to cater for those who did not respond.
2.4. Sampling Techniques
Kwanza Sub County Hospital was purposively selected for the study. Being a public facility, and the only level 4 facility in the entire Kwanza Sub-County, it is accessible by a wider population as it offers a wide range of services at an affordable cost. Caregivers and their children (0 to 6 months) attending WBC at KSCH from 1st September 2023 to 29th September 2023 and willing to be part of the study were included. According to the hospital’s 2022 records, the estimated number of 0 to 6 months’ children attending well baby clinic was 220 in a month. Systematic sampling was used to select the subjects to ensure that each subject had an equal chance of being selected. The monthly attendance (220) was divided by the sample size (151) to obtain an interval of 1.5 that resulted to an approximate of 2 children. A random starting point was selected by choosing either 1 or 2 on a piece of paper to arrive at the one which was to be the first study subject every day. Every 2nd caregiver-child pair was then selected until the sample size (151) was achieved.
2.5. Research Instruments and Pretesting of the Instruments
A structured questionnaire was used to gather information on maternal factors, feeding practices and morbidity among children aged 0-6 months. Section 1 contained information on child’s demographics and feeding practices, section 2 had data on maternal factors while section 3 contained data on child morbidity status. Information on socio-demographic characteristics of the caregiver was contained in section 4 while section 5 had information on socio-economic characteristics of the caregiver. Two focus group discussions (FGD) were conducted separately to enable collection of information on foods given to children aged 0-6 months, breastfeed initiation and maternal factors hindering EBF. Each FGD comprised of 10 participants where one included health care workers (HCWs) while the other comprised of caregivers of children aged 0- 6 months. The HCWs and caregivers were purposely selected across different departments and different villages respectively. Key informant interview (KI) was used to collect information on maternal awareness on feeding practices, maternal illness and problems encountered while breastfeeding. 8 individuals were interviewed. They were purposely selected based on area of expertise to include community based health care workers (community health promoters, public health officer, community health assistant). Research tools were pre-tested in Kapsara Sub-County Hospital to assess clarity of the instruments, approximate time taken to administer the tools and taking note of confusing, sensitive and annoying items to the respondents. The facility was chosen since it has comparable characteristics to one included in the main study. The features considered were availability of a well-baby clinic and being a level 4 hospital with similar settings to the study hospital. 10% of the study sample size (an approximate of 15 caregiver-child pair) was used for the pre-test study. The results guided the researcher on additional information to be included, subtractions, corrections and modification of the tools to achieve the intended objectives of the actual study.
2.6. Reliability and Validity of Data Collection Instruments
The consistency of an instrument in yielding stable results on repeated trials defines its reliability . The same set of respondents were administered an identical questionnaire after an interval of five days, and a comparison was done between the answers that were provided on both occasions. According to , the Cronbach’s alpha method was adopted to determine the correlation coefficient. The questionnaire was deemed sufficient after a reliability coefficient of 0.78 was obtained. An instrument's validity depends on its capacity to measure the things it was designed to assess in terms of content, criteria and construct . For content validity, care was taken to make sure that all items under investigations were catered for. This was made possible through consultation from Kenyatta University experts and feedback consideration. To determine construct validity, the instruments were subjected to Kenyatta university specialists in food and nutrition to check for clarity of items on maternal factors, feeding practices and morbidity. The tools were updated with the comments. The instruments were assessed by Kenyatta university ethical review committee to ensure proper language use and protection of human rights.
2.7. Training of Research Assistants
Four research assistants comprising of two females and two males, with bachelor’s degree qualification in Food, nutrition and dietetics were recruited. They were trained by the principal researcher for three days as guided by the training program. They were introduced to the purpose and objectives of the study. Key areas emphasized included sample population, geographical location, methodology, use of instruments, ethical issues, role plays and safekeeping of completed questionnaires. The research assistants read through the questionnaire and agreed on a standard manner of asking respondents in Kiswahili or local language. This helped in achieving quality data and minimizing variations in data collection procedures
2.8. Data Collection Procedure
Data was collected from 1st September 2023 to 29th September 2023. Questionnaires, KI and FGD were employed to obtain data on various variables. After the caregivers signed the consent form, the principle researcher and the assistants administered the questionnaire. The questionnaires were completed in the Child Welfare Clinic as the mothers waited to be seen. Each day, the accuracy and completeness of the data was verified. KI interviews were conducted on 27th September 2023 at the facility hall, where 8 individuals were interviewed. Information on maternal awareness of feeding practices and maternal illness was collected. The researcher interviewed while one of the assistants noted down and recorded the responses. Two FGDs were conducted on two separate clinic days on 28th and 29th September 2023 at the facility hall. The participants were made aware of the study, and with their approved consent, invited to participate. They sat round the table where the researcher facilitated the discussion while one of the research assistants noted the responses and recorded the session. Non-verbal communication was observed, paying key attention to ensure that each participant had an equal chance to give his or her views.
2.9. Data Analysis
Data was verified, cleaned and coded. Version 28 of the Statistical Package for Social Sciences (SPSS) was used for data entry and analysis. Descriptive statistics such as percentages and frequencies were computed for feeding practices, maternal factors, morbidity, demographic, and socioeconomic factors. The variables' associations were found using the chi-square test. At 95% confidence level, binary logistic regression was done to determine predictors of morbidities and other factors. Tables and graphs were used to present descriptive statistics. Qualitative information was categorized into themes and utilized to complement quantitative information.
2.10. Ethical Considerations
Kenyatta University Graduate School granted permission to carry out the study while ethical clearance was granted by Kenyatta University Ethics Review Committee (Ref No: KU/ERC/APPROVAL/VOL.1). The National Commission for Science, Technology, and Innovation (NACOSTI) permitted to carry out the study (Ref No: 510336). Additionally, permission was requested from the management of the KSCH. Before distributing questionnaires, written consent was sought from the respondents who were made aware of the goals of the research and guaranteed the privacy of any information disclosed. The respondents were voluntarily allowed to be part of the research and those unwilling to participate were not discriminated in any way.
3. Results
3.1. Socio-demographic and Socio-economic Characteristics of the Study Population
More than two thirds (63.5%) of the study children were aged 0-3 months while over a third (36.5%) were aged 4-5 months (Table 1). More than half (56.1%) were male with female close to half (43.9%). Majority (95.9%) of the children were non-twins and a small number (4.1%) were twins. Regarding socio-demographics of the caregivers, nearly a third (29.7%) were aged 25-29 years and 20-24 years (29.1%). Nearly a quarter (23.6%) of the caregivers was aged 15-19 years while a small number (17.6%) were 30 years of age and above. Majority (73.6%) of the caregivers were married and over a quarter (26.4%) was single. More than half (56.1%) had achieved secondary education, and nearly a quarter (23.6%) had achieved primary education. Minority (17.6%) had tertiary education and a small number (2.7%) had no education at all. Majority (97.3%) of the caregivers were Christians while Muslims were a minority (2.7%) (Table 1). More than two thirds (64.2%) of the main household income earner were fathers, nearly a quarter (22.3%) was mothers and a small number (12.8%) were grandparents. Over a third of the caregivers were unemployed (43.3%), nearly a third (29.7%) were self-employed and employed (27.0%). Close to half (47.5%) of the caregivers were engaged in mixed farming, more than a third (30.3%) in subsistence farming, minority (14.8%) and a small number (3.3%) practised livestock farming and other farming types respectively. Over a third (40.5%) of the caregivers’ monthly income from all sources was less than Ksh. 2,000, a quarter (25.0%) had income between Ksh. 2,000 –Ksh. 5,000, nearly a quarter (21.6%) earned Ksh. 5,001-Ksh. 10,000 and a small number earned over Ksh. 10,000 in a month. With regard to the main sources of food, over half (58.1%) had food from their own farms, over a third (40.5%) of the caregivers bought their food while a small number (1.4%) got their food from other sources including food coupons and donations as indicated on Table 1.
Table 1. Socio-demographic and socio-economic characteristics of the study population.

Variable

N=148

N

%

Child age (months)

0 – 3

94

63.5

4 – 5

54

36.5

Child’s gender

Male

83

56.1

Female

65

43.9

Child’s birth order

1-3

122

82.4

4-7

26

17.6

Birth characteristics

Non-twin

142

95.9

Twin

6

4.1

Care-givers age (years)

15-19

35

23.6

20-24

43

29.1

25-29

44

29.7

>/=30

26

17.6

Marital Status

Married

109

73.6

Single

39

26.4

Highest education level

No education

4

2.7

Primary

35

23.6

Secondary

83

56.1

Tertiary

26

17.6

Religion

Christian

144

97.3

Muslim

4

2.7

Main income earner

Father

95

64.2

Father & Mother

1

0.7

Mother

33

22.3

Grandparent

19

12.8

Working

Employed

40

27.0

Not employed

64

43.3

Self-employed

44

29.7

Farming types (N=122)

Subsistence farming

37

30.3

Cash crop farming

18

14.8

Mixed farming

58

47.5

Livestock farming

4

3.3

*Other

5

4.1

Income per month

<Ksh 2,000

60

40.5

Ksh 2,000 – 5,000

37

25.0

Kshs50001-10,000

32

21.6

>Ksh 10,000

19

12.9

Main sources of food

Buying

60

40.5

Own farm

86

58.1

*Other

2

1.4

*Other farming types included; aquaculture and Co-op farms

*Other sources of food included; donations, food coupons

3.2. Feeding Practices of Children Aged 0-6 Months
3.2.1. Child Breastfeeding Practices
Figure 1. Child breastfeeding practices.
Majority (94.6%) of the children aged 0-6 months were still breastfeeding while a small number (5.4%) were not breastfeeding (Figure 1). More than two thirds (61.9%) of the children were initiated into breastfeeding immediately after birth, nearly a quarter (20.1%) had breastfeeding initiated after more than an hour and a minority (17.9%) were initiated between thirty minutes and one hour. A small number (0.6%) of children were never initiated to breastfeeding. This was supported by FGD qualitative data that as much as most children were still breastfeeding, a few never get to breastfeed at all.” Some of the young mothers we attend to never want to initiate breastfeeding as they may want to go back to school once they are stable,” (participant3 FGD 2 2023). With regards to breastfeeding time, majority (90.8%) of the children were breastfed on demand while a small number (9.2%) had scheduled time to breastfeed as illustrated by figure 1.
3.2.2. Use of Prelacteals and Introduction of Other Feeds
Over a quarter (26.2%) of the children aged 0-6 months were given other fluids before breastfeed initiation (Table 2). Over half (51%) were given sugar/glucose water, nearly half (42%) were given plain water and a small number (7%) were given infant formula. For reasons as to why prelacteal feeds were used, over half (56.4%) of the mothers said they had no milk, nearly a third (28.2%) had a crying baby and a small number (7.7%) were advised by a health worker and traditional believes (7.7%) (Table 2). Maternal instability after delivery and delays on initiation of breastfeeding also contributed to use of prelacteal feeds,” When I got my baby, I had so many complications and felt so weak. I don’t remember exactly what was given to my baby but I was told that he was on glucose water. I breastfed the baby after two days when I was somehow stable,” (participant2 FGD 1 2023). Close to half (48%) of the children were offered other foods and fluids besides breastfeeding within the last 24 hours. More than two thirds (62%) of the children had other foods or fluids introduced at 13-16 weeks, nearly quarter (22.5%) at 0-4 weeks and a small number (11.3%) were introduced at 9-12 weeks and 5-8 weeks (4.2%). With regards to why the foods and fluids were introduced, over a third (30.6%) had a hungry/thirsty child and nearly a quarter (24%) gave reasons of working mothers. Minority among the mothers had reasons including an old enough baby (15.8%), individual preference (12.2%), family/traditional advice (8%), other reasons (5.2%), sick child (2.2%) and mother’s illness (2%) as indicated on table 2. Results from the qualitative data further gave reasons that the mother didn’t have enough milk, the baby wasn’t satisfied with breast milk or got advice from grandmothers and other family members, “I had to introduce porridge at 3 months because I didn’t have enough milk and the baby was crying a lot. My mother told me that the baby was not getting enough,” (participant2 FGD1 2023).
Table 2. Use of prelacteals and introduction of other feeds.

Variable

N

n

%

Introduction of other fluids before breastfeeding

148

39

26.2

Types of prelacteal feeds used

39

Infant formula

3

7.0

Sugar/Glucose water

20

51.0

Plain water

16

42.0

Reasons for use of prelacteal feeds

39

Baby crying

11

28.2

Mother had no milk

22

56.4

Advised by health worker

3

7.7

Traditional believes

3

7.7

Other foods/fluids given within the last 24 hours

148

71

48.0

When other foods/ fluids were introduced

71

0-4 weeks

16

22.5

5-8 weeks

3

4.2

9-12 weeks

8

11.3

13-16 weeks

44

62.0

Reasons for introduction of other foods/fluids

71

A thirsty/hungry child

22

30.6

individual preference

9

12.2

A sick child

2

2.2

Baby old enough

11

15.8

Family/traditional advice

6

8.0

Mother’s illness

1

2.0

Working mother

16

24.0

*Other

4

5.2

*Other reasons included; School going mothers and baby rejecting breastfeeds

3.3. Maternal Factors
3.3.1. Maternal Factors Associated with Breastfeeding of Children Aged 0-6 Months
A majority (73.6%) of the caregivers was married and had caesarean delivery (95.0%) (Table 3). Majority (91.4%) of the mothers delivered at the hospital while minority (6.4%) was at home and in motion (2.2%). A small number (19.3%) of mothers were sick in the previous 2 weeks. Minority (17.1%) encountered problems while breastfeeding where more than half (52.2%) had insufficient breast milk, nearly quarter (21.8%) had breast discomfort and a small number (13%) reported the baby rejecting breast milk. Further information on problems encountered by breastfeeding mothers were breast complications such as engorgement, sore nipple, inverted nipple and cracked nipples,” I had a mother who had full breasts but she was unable to attach the baby in the first three days. After consultation, she was assisted and the problem was resolved, (participant2 KI 2023. A significant number (p-value 0.0001, 95%) of children whose mothers had undergone vaginal delivery were breastfeeding. Similarly, a significant number (p-value 0.0001, 73.6%) of children whose mothers were married were breastfeeding. No associations were found between place of delivery, maternal illness and child breastfeeding status. No associations were found between mode of delivery, place of delivery and breastfeed initiation (Table 3)
Table 3. Maternal factors associated with breastfeeding of children aged 0-6 months.

Maternal factors associated with current breastfeeding status

Variable

Is the child currently b/feeding? N=148

Total

%

Х2 (df)

p-value

Yes

No

Marital status (N=148)

Married

108

1

109

73.6

16.294(1)

0.0001*

Single

32

7

39

26.4

Mode of delivery (N=140)

Vaginal

130

3

133

95.0

17.037(1)

0.0001*

Cesarean

4

3

7

5.0

Place of delivery (N=140)

Hospital

120

8

128

91.4

1.321(1)

0.516

Home

9

0

9

6.4

While moving

3

0

3

2.2

Maternal illness (N=140)

Yes

15

12

27

19.3

2.803(1)

0.094

B/F Problems (N=140)

Yes

23

1

24

17.1

0.086(1)

0.769

B/F Problems encountered (N=23)

Insufficient b/ milk

12

0

12

52.2

4.352(1)

0.500

Baby rejects breast

3

0

3

13.0

Breast discomfort

5

0

5

21.8

Breast issues (sore nipple, cracked nipple, engorgement)

3

0

3

13.0

*Significant at p<0.05

3.3.2. Maternal Factors Associated with Breastfeeding Frequency and Use of Prelacteals
Marital status was significantly associated with frequency of breastfeeding (OR 5.23, 95% CI 1.90-14.36, p-value 0.001). Maternal illness in the past two weeks was significantly associated with use of prelacteal feeds (OR 6.41, 95% CI 1.98-20.73, p-value 0.002) as indicated on table 4.
Table 4. Maternal factors associated with breastfeeding frequency and use of prelacteals.

Breastfeeding frequency

Variable

OR

95% CI

p-value

Marital status

Lower

Upper

Married

5.226

1.902

14.360

0.001*

Single

1

Highest education level

Primary

7.499

0.644

87.393

0.108

Secondary

5.275

0.570

48.806

0.143

Tertiary

6.035

0.511

71.347

0.154

Use of prelacteal feeds

Maternal illness in the previous 2 weeks

Lower

Upper

Yes

6.412

1.983

20.732

0.002*

*Significant at p<0.05

3.4. Morbidity Status Among Children Aged 0 to 6 Months
Nearly half (41.2%) of the children were reported to have been sick in the previous two weeks including the day of the survey (Table 5). Over a third (37.7%) was reported to have been sick with fever and watery diarrhea (31.1%). Minority (13.2%) were reported to have suffered from other symptoms including flu, coughs and upper respiratory tract infections. A small number suffered from difficulty and fast breathing (9.8%), malaria (4.9%) and bloody diarrhea (3.3%) as indicated on Table 5.
Table 5. Morbidity status among children aged 0 to 6 months.

Variable

N

n

%

Child sick in the previous 2 weeks

148

61

41.2

Type of sickness

61

Fever

23

37.7

Watery diarrhea

19

31.1

Bloody diarrhea

2

3.3

Difficulty and fast breathing

6

9.8

Malaria

3

4.9

*Others

8

13.2

*Others included; Flu, coughs and upper respiratory tract infections

3.5. Relationships Between Feeding Practices, Maternal Factors and Morbidity Status
There was a significant relationship between monthly income and the likelihood of a child being sick (p=0.036). The researcher went further to check on the strength of the relationship and it was a weak positive relationship (r=0.063, r2=0.004) as shown in Table 6. No relationships were found between current breastfeeding status and the likelihood of the child being sick (p=0.069), maternal education and child morbidity status (p=0.521), maternal employment and child morbidity status (p=0.072).
Table 6. Relationship between maternal factors, feeding practices and child morbidity.

Variable

Dependent Variable (Morbidity Status) Observations = 148 Model: Logistic Regression using MLE

Child sick

Child not sick

P- value

Income (Ksh)

<= 2000

28

31

0.036*

2001 - 5000

15

23

5000 – 10 000

10

21

Above 10, 1000

8

12

Stats

R

0.063

R-Squared

0.004

Adj R-squared

-0.003

F-statistic

0.58

Current breastfeeding status

Yes

56

84

0.069

*Significant at p<0.05

4. Discussion
4.1. Socio-demographic and Socio-economic Characteristics of the Study Population
Child’s demographic characteristics are key in determining feeding practices as well as morbidity status of the child. Morbidity is more prevalent in early days and decreases with increased age . Similarly, a higher prevalence of exclusive breastfeeding is observed in early days and a decrease with increase in age. Consequently this impacts on the morbidity status . The study was conducted among caregivers of children aged 0-6 months where more than two thirds (63.5%) were aged 0-3 months. According to Laksono et al. , mother’s age is a contributing factor to the child’s health where children from older mothers tend to be healthier. Most of the caregivers were young (below 30 years of age) and a small number (17.6%) were more than 30 years of age. Caregiver’s education attainment contributes to child’s morbidity. According to Nankinga et al. , children from well-educated mothers tend to have improved health as a result of better income and informed decisions. Socioeconomic characteristics of caregivers are important for this study as they can affect access of food and health care seeking as a result of low finances. This increases the risk of childhood morbidities . More than half of the respondents had monthly income of less than Ksh. 2,000 in a month with a small number (12.8%) earning greater than Ksh. 10,000 from all sources. Household food insecurity negatively influences breastfeeding practices and hence, food security is key among lactating mothers.
4.2. Feeding Practices of Children Aged 0-6 Months
It is a good practice that majority (94.6%) of the children (0-6 months) were still breastfeeding. However, a small number (5.41%) were not breastfeeding, some had stopped breastfeeding while some had never breastfed. This is against the WHO recommended practice of exclusive breastfeeding for the first six months and introduction of complementary feeds alongside breastfeeding for up to two years or beyond . This may in the long run deprive the child the many benefits of breast milk including proper growth and development .
Early breastfeeding initiation is encouraged as it prevents use of prelacteal feeds which contributes highly to partial breastfeeding . Majority (79.8%) of the children were initiated into breastfeeding within the first hour. This is above the prevalence of early initiation of breastfeeding (EIBF) which is approximately 50% in many developing countries . However, nearly a quarter (20.1%) of the children had breastfeeding initiated after more than an hour. A small number (0.6%) of children were never initiated to breastfeeding. Instead, they were put on exclusive replacement feeding (ERF). This rate is lower than the global ERF rate of 9.4% . A study done in Kiambu level 4 hospital also observed a higher prevalence of ERF (10.4%) among HIV-exposed infants . Majority (90.8%) of the children were breastfed on demand. This is the best recommended practice as the amount of milk produced is influenced by the baby’s desire .
Over a quarter (26.2%) of the children were given prelacteals before breastfeeding was initiated. This rate was lower compared to a study in Kilifi county where over a third of the mothers gave prelacteal feeds, home remedies and traditional medicines . Over half (52%) of the children were exclusively breastfed. This rate (52%) is above both the global rate and Africa rate where EBF is at 43.5% and 34% respectively . In addition, this EBF rate (52%) is above the cumulative EBF rate (27%) among mother to mother support groups in Meru County and continuous EBF (44%) among parents who underwent couple counseling in Nyando district . However, the rate is below the national EBF prevalence rate of 60% .
4.3. Maternal Factors Associated with Child Feeding Practices
Children whose mothers were married were significantly more than five times more likely to be breastfed on demand compared to children whose mothers were single (OR 5.23, 95% CI 1.90-14.36, p-value 0.001). The finding agrees with . Probably, this commitment of married mothers could be attributed to family support and support from the spouses. Children whose mothers had reported illness in the last two weeks were significantly more than six times more likely (OR 6.41, 95% CI 1.98-20.73, p-value 0.002) to be given other feeds before initiation of breastfeeding. According to Kiani et al. , use of prelacteal feeds may interfere with breastfeeding duration and even encourage continuation of mixed feeding. A significant number of children whose mothers had undergone vaginal delivery were breastfeeding (P-value 0.0001). This agrees with Kiani et al. and a finding in Wajir County where mothers who delivered through cesarean section reported initiating pre-lacteals early, experiencing delayed initiation of breastfeeding and interfering with EBF . However, this finding is contrary to Magnano San Lio et al. where no associations were found between mode of delivery and child breastfeeding status. A significant number of children whose mothers were married were breastfeeding (P-value 0.0001). This is in agreement with Flaherman et al. and a study done in Nyeri County where marital status was associated with breastfeeding on demand .
4.4. Morbidity Status Among Children Aged 0 to 6 Months
The findings of this study contribute to the growing scientific consensus including report of Mutama et al on childhood morbidities in Kenya. Over a third (37.7%) of the children were reported to have been sick with fever. This rate is above the Trans-Nzoia County rate (17.8%) of children presenting with fever among the wider under-five population . This suggests that among the under-five population presenting with fever, the younger population could be the most affected. Over a third (31.1%) of the children presented with watery diarrhea. This rate is above the general under-five population in Nairobi informal settlements where 16.6% presented with diarrhea . This finding concurs with report of Reiner Jr et al. that diarrhea is among the high prevalent childhood morbidities.
4.5. Relationship Between Maternal Factors, Feeding Practices and Child Morbidity
There was a relationship between monthly income and the likelihood of a child being sick (p=0.036). It is widely known that socioeconomic factors affect child morbidity in Africa . This finding is in agreement with Adedokun & Yaya, De Vita et al. and Orora where poverty and low socioeconomic status is related to poor health care seeking. However, it is contrary to studies by Piotrowski, Nankinga et al., Anwar et al., and Arthur that found no connection between caregiver’s socio-economic status and child’s morbidity. The researcher went further to check on the strength of the relationship and it was a weak positive relationship (r=0.063, r2=0.004). This implied that 0.4% of the child’s morbidity was a result of the caregiver’s socio-economic status while 99.6% of child’s morbidity was due to other factors. No relationship was found between child’s breastfeeding status and the likelihood of a child being sick (p=0.069). This finding is contrary to Queenter et al. where EBF uptake was associated with low child morbidity in Kenyatta Hospital.
5. Conclusions
The study concludes that the feeding practices among children aged 0-6 months were inadequate in relation to WHO standards. This is evidenced by use of prelacteals, mixed feeding and replacement feeding. Strengthening institutional health talks among pregnant and lactating mothers could be an effective approach to improve EBF. Nearly half of the children aged 0-6 months suffer from childhood morbidities. Strengthening preventive strategies such as proper hygiene, education and early health care seeking behaviour could reduce childhood illnesses. The study revealed positive associations between mode of delivery and child breastfeeding status, marital status and breastfeeding status, marital status and frequency of breastfeeding. A positive relationship was revealed between monthly income and the likelihood of a child being sick.
Breastfeeding status and frequency of breastfeeding among children aged 0-6 months are influenced by marital status of the caregiver. Child morbidity status is influenced by caregiver’s socioeconomic status. Feeding practices among children aged 0-6 months are influenced by maternal characteristics as evidenced by the associations between mode of delivery with breastfeeding status, maternal illness and use of prelacteal feeds. The study recommends timely treatment of illnesses among pregnant and lactating mothers, counseling and support for mothers having children before marriage to build their confidence and commitment on breastfeeding. The study suggests need for all mothers to be counselled on the importance of EBF and the role of good maternal nutrition in promoting EBF. Additional investigation on differences in morbidity between exclusively breastfed and non-breastfed children aged 0 to 6 months in Kwanza Sub County is recommended.
Abbreviations

EBF

Exclusive Breastfeeding

SPSS

Statistical Package for the Social Sciences

KSCH

Kwanza Sub-County Hospital

SDG

Sustainable Development Goal

WBC

Well Baby Clinic

FGD

Focus Group Discussion

KI

Key Informant

HCW

Health Care Worker

Acknowledgments
The authors are grateful to Kenyatta university, Food nutrition and dietetics department for their guidance and resourcefulness, KSCH for providing necessary support during data collection, and finally, to friends, research assistants, family and all those who participated in this study.
Author Contributions
Sophy Cheloti: Conceptualization, Investigation, Writing – original draft
Elizabeth Kuria: Supervision, Writing – review & editing
Joseph Kobia: Supervision, Writing – review & editing
Funding
This research did not receive any specific grant from any funding agency in the public, commercial or not-for-profit sectors.
Data Availability Statement
The data supporting the outcome of this research work has been reported in this manuscript.
Conflicts of Interest
The authors declare that they have no competing interests.
References
[1] A. &. J. R. Motee, "Importance of exclusive breastfeeding and complementary feeding among infants," Current Research in Nutrition and Food Science Journal, pp. 56-72
[2] T. V.,. S. E. A. F. Shally Awasthi, "Path to severe acute malnutrition in children below 2 years of age: Findings of qualitative research in Uttar Pradesh, North India," Clinical Epidemiology and Global Health, vol. 7, no. 2, pp. 246-252
[3] A. T. C. T. B. G. A. P. P. &. K. G. D. Alebel, "Prevalence and determinants of diarrhea among under-five children in Ethiopia: A systematic review and meta-analysis," p.
[4] G. Diouf, "Millenium development goals (MDGs) and sustainable development goals (SDGs) in social welfare," International Journal of Science and Society, pp. 17-24, 4 1 2019.
[5] W. H. Organization., "Breastfeeding and COVID-19: Scientific brief," p.
[6] E. J. Oduor, "The Military and Kenya's Big Four Agenda: The Case of Infrastructure (Doctoral dissertation United States International University-Africa)," 2019.
[7] D. U. M. &. M. A. Nigatu, "Effect of exclusive breastfeeding cessation time on childhood morbidity and adverse nutritional outcomes in Ethiopia," Analysis of the demographic and health surveys. PLoS One, p. 14
[8] A. A. W. Z. Ibrahim KH, "Cessation of exclusive breastfeeding and predictors among infants aged 0–6 months in Ararso district of the Somali region, Ethiopia. A community-based cross-sectional study," p.
[9] B. M.-P. R. M. &. M. L. L. D. Masaba, "Factors affecting WHO breastfeeding recommendations in Kenya," International Journal of Africa Nursing Sciences, 15, 100314, p.
[10] S. W. A. &. G. D. J. Mebratom, "Causes of infant deaths and patterns of associated factors in Eastern Ethiopia: Results of verbal autopsy (InterVA-4) study," p.
[11] A. M. O. A. &. K.-K. A. Tampah-Naah, "Geospatial analysis of childhood morbidity in Ghana," PloS One, p. 14, 2019.
[12] G. D. Y. Y. A. W. &. A. Y. Demissie, "Diarrhea and associated factors among under five children in sub-Saharan Africa: Evidence from demographic and health surveys of 34 sub-Saharan countries," New England Journal of Medicine, p.
[13] L. B.,. A.-C. W.,. J. N. 1. N. M. Z.,. S. V.,. R. E. E. Aline Simen-Kapeu, "Prevalence of diarrhoea, acute respiratory infections, and malaria over time (1995-2017): A regional analysis of 23 countries in West and Central Africa. Journal of Global Health. 2021," Journal of Global Health, p.
[14] R. M. D. &. W. J. Mutama, "Risk factors associated with diarrhea disease among children under-five years of age in Kawangware slum in Nairobi County, Kenya.," Food and Public Health, pp. 1-6
[15] E. M. K. P. P. A. J. S. C. P. B. K. L. A. R. G. A. B. D. H. N. &. N. C. Milner, "Association between malaria infection and early childhood development mediated by anemia in rural Kenya," International Journal of Environmental Research and Public Health, p. 902
[16] C. K.-W. E. A. N. H. Nicholas Njau Ngomi, "Determinants of inequality in health care seeking for childhood illnesses: Insights from Nairobi informal settlements," Global Health journal, pp. 198-203
[17] G. M. C. M. G. M. N. M. S. M. G. O. N. A. R. W. S. G. N. P. B. Alice Kamau, "Malaria infection, disease and mortality among children and adults on the coast of Kenya," Malaria journal, pp. 1-12
[18] K. National, "Kenya Demographic and Health Survey.," 2022.
[19] N. K. William Gardner, "Regional, and National Prevalence and Trends in Infant Breastfeeding Status in 204 Countries and Territories, 1990–2019.," Current Development in Nutrition.
[20] H. R. J. G. H. S. K. C. R. Ciante Pretorius, "Impact of breastfeeding on mortality in sub-Saharan Africa: A systematic review, meta-analysis, and cost-evaluation," European Journal of Pediatrics, pp. 1213-1225
[21] D. M. A. K. O. S. S. L. L. W. F. N. S. Scott Ickes, "Exclusive breastfeeding among working mothers in Kenya: Perspectives from women, families and employers," Maternal & Child Nutrition, p. 17.
[22] J. K. S. O. Joseph Kobia M’Liria, "Impact of mother-to-mother support groups in promoting exclusive breastfeeding in a low-resource rural community in Kenya: A randomized controlled trial.," Current Research in Nutrition and Food Science, p.
[23] I. A. Ogada, "Effectiveness of couple counselling versus maternal counselling in promoting exclusive breast feeding: A randomised con-trolled trial in Nyando District, Kenya. Kenyatta University Thesis Repository," 2014. [Online].
[24] S. O. &. P. C. Naureen Andare, "Determinants of infant feeding practices among mothers living with HIV attending prevention of mother to child transmis-sion Clinic at Kiambu Level 4 hospital, Kenya: A cross-sectional study.," Nutrition Journal,, pp. 1-8
[25] R. D. S. B. S. G. A. D. R. D. &. A. B. Dinesh Dharel, "Breastfeeding practices within the first six months of age in mid-western and eastern regions of Nepal: A health facility-based cross-sectional study," BMC Pregnancy and Childbirth, pp. 1-9
[26] A. J. Penugonda, R. J. Rajan, A. P. Lionel, R. Z. Kompithra, L. Jeyaseelan and L. G. Mathew, "Impact of exclusive breast feeding until six months of age on common illnesses: A prospective observational study," Journal of family medicine and primary care, 11(4),, pp. 1482-1488
[27] I. A.-R. S.-F. I. C.-C. A. L.-A. a. M. C.-T. Esmeralda Santacruz-Salas, "Mothers’ expectations and factors influencing exclusive breastfeeding during the first 6 months," International Journal of Environmental Research and Public Health, p. 77
[28] H. G. T. W. T. G. M. T. T. B. &. N. B. Abdiasis Jama, "Exclusive breastfeeding for the first six months of life and its associated factors among children age 6-24 months in Burao district, Somaliland.," International Breastfeeding Journal, vol. 15, no. 1, p. 5
[29] T. Z. &. D. N. Kasahun Takele, "Risk factors of morbidity among children under age five in Ethiopia," BMC Public Health, pp. 1-9
[30] K. N. B. o. S. (. a. I. Macro., "Kenya Demographic and Health Survey 2008-09. Calverton MKaIM..," 2019.
[31] K. N. B. o. S. (. a. I. Macro., "Kenya Demographic and Health Survey 2008-09. Calverton, Maryland:," 2021.
[32] J. E. L. E. S. J. T. Andrew A. Fisher, "Handbook for Family Planning Operations Research Design in Sampling. (2nd ed.)," p.
[33] I. Kennedy, "Sample size determination in test-retest and Cronbach alpha reliability estimates.," British Journal of Contemporary Education, 2(1), pp. 17-29
[34] K. S. &. J. M. Pfadt, "Part II: On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Discussing lower bounds and correlated errors.," Psychometrika, 86(4),, pp. 843-860, 2021.
[35] H. Taherdoost, "How to Test the Validation of a Questionnaire/Survey in a Research. Validity and Reability of The Research Instrument".
[36] T. T.,. A. A.,. D. H.,. B. Z.,. D. M. Amare Belachew, "Prevalence of exclusive breastfeeding practice and associated factors among mothers having infants less than 6 months old, in Bahir Dar, Northwest, Ethiopia: A community based cross sectional study, 2017," BMC Research Notes, pp. 1-6
[37] R. D. W. M. I. &. I. K. Agung Dwi Laksono, "The effects of mother’s education on achieving exclusive breastfeeding in Indonesia," BMC Public Health, pp. 1-6
[38] B. K.,. J. W. Olivia Nankinga, "Maternal employment and child nutritional status in Uganda, 14(12), e0226720.," PloS One, p.
[39] E. Arthur, "The effect of household socioeconomic status on the demand for child health care services," African Development Review, 31(1), pp. 87-98.
[40] F. W. M. W. C. K. A. C. E. R. N. M. S. A. N. N. J. M. P. G. Elizabeth W. Kimani-Murage, "Factors affecting actualization of the WHO breastfeeding recommendations in urban poor settings in Kenya.," Maternal & Child Nutrition, 11(3), pp. 314-332.
[41] S. S. K. L. M. T. P. M. E. A. F. Phuong Hong Nguyen, "Early breastfeeding practices contribute to exclusive breastfeeding in Bangladesh, Vietnam and Ethiopia.," Maternal & Child Nutrition, 16(4), e13012., p.
[42] T. G. E. O. J. P. V. J. P. S. M. L. C. P. C. K. J. E. O.-P. P. L. &. Kenzo Takahashi, "Prevalence of early initiation of breastfeeding and determinants of delayed initiation of breastfeeding: Secondary analysis of the WHO Global Survey.," Scientific Reports, 7(1), 44868, p.
[43] D. V. d. P. C. D. E. H. M. G. F. D. D.. Anne Fallon, "Baby‐led compared with scheduled (or mixed) breastfeeding for successful breastfeeding. Cochrane Database of Systematic Reviews," Cochrane Database of Systematic Reviews, no. 9, p.
[44] C. J. C. M. J. A. B. &. M. M. Alison Talbert, "Exclusive breastfeeding in first-time mothers in rural Kenya: A longitudinal observational study of feeding patterns in the first six months of life.,". International Breastfeeding Journal, 15(1), 17, pp.
[45] D. M. C. N. Z. I. a. K. L. Maria Tigka, "Frequency and determinants of breastfeeding in Greece: A prospective cohort study during the COVID-19 pandemic," Chil-dren, 9(1).
[46] K. M. R. D. H. C. S. R. P.-E. Sara N. Kiani, "Delivery mode and breastfeeding outcomes among new mothers in Nicaragua," Maternal & Child Nutrition, 14(1), e12474.,
[47] S. O. &. V. O. O. Mahat Jimale Mohamed, "A Qualitative Exploration of the Determinants of Exclusive Breastfeeding (EBF) Practices in Wajir County, Kenya," International Breastfeeding Journal, pp. 44
[48] A. M. M. C. L. R. A. C. M. P. G. G. A. A. a. M. B. Roberta Magnano San Lio, "The impact of socio-demographic factors on breastfeeding: Findings from the “Mamma & Bambino” cohort.," Medicina, 57(2), 103.
[49] M. D. C. C. E. M. I. M. P. Valerie J. Flaherman, "Effect of early limited formula on breastfeeding duration in the first year of life: A randomized clinical trial.," JAMA Pediatrics, 173(8), pp. 729-735
[50] M. M. Nyambura, "Compliance to exclusive breastfeeding of children by mothers seeking for maternal/child health services in Mathira Sub‐county Hospitals, Nyeri County, Kenya [Internet]; Kenyatta University," 2017. [Online]. Available:
[51] R. A. A. A. R. O. V. A. T. A. Dickson A. Amugsi, "Socio-demographic and environmental determinants of infectious disease morbidity in children under 5 years in Ghana.," Global Health Action, 8(1), 29349.
[52] S. Y. Sulaimon T Adedokun, "Childhood morbidity and its determinants: Evidence from 31 countries in sub-Saharan Africa.," BMJ Global Health, 5(10), e003109.
[53] C. S. B. S. A. L. F. G. D. B. E. W. K.-M. T. M. M. W. J. M. R. &. G. M. Maria Vittoria De Vita, "Malnutrition, morbidity and infection in the informal settlements of Nairobi, Kenya: An epidemiological study.," Italian Journal of Pediatrics, 45, pp., 1–11
[54] J. O. O. N. Charles N Orora, "Health Seeking Behaviour Determinants among Caregivers of Children Facing Diarrhoea in Homabay County, Kenya.," 2017. [Online]. Available:
[55] L. Kosowan, J. Mignone, M. Chartier and C. Piotrowski, "Maternal Social and Economic Factors and Infant Morbidity, Mortality, and Congenital Anomaly: Are There Associations?," Research Support, Non-U. S. Gov’t., p.
[56] A. I. A. B. Sofia Anwar, "Households Socio-Economic Determinants of Childhood Diarrhoea Morbidity in Selected South Asian Countries..," Review of Economics and Development Studies, 1, 33, p.
[57] K. N. Hospital, "The Relationship Between Breastfeeding Practices and Indirect Costs of Health Care: A Case Study of Nurses at Kenyatta National Hospital, Kenya. Science, 9(1),," pp. 30-35
Cite This Article
  • APA Style

    Cheloti, S., Kuria, E., Kobia, J. (2025). Maternal Factors, Feeding Practices and Morbidity Status of Children Aged 0-6 Months Attending Kwanza Hospital’s Well-Baby Clinic. International Journal of Nutrition and Food Sciences, 14(1), 28-41. https://doi.org/10.11648/j.ijnfs.20251401.14

    Copy | Download

    ACS Style

    Cheloti, S.; Kuria, E.; Kobia, J. Maternal Factors, Feeding Practices and Morbidity Status of Children Aged 0-6 Months Attending Kwanza Hospital’s Well-Baby Clinic. Int. J. Nutr. Food Sci. 2025, 14(1), 28-41. doi: 10.11648/j.ijnfs.20251401.14

    Copy | Download

    AMA Style

    Cheloti S, Kuria E, Kobia J. Maternal Factors, Feeding Practices and Morbidity Status of Children Aged 0-6 Months Attending Kwanza Hospital’s Well-Baby Clinic. Int J Nutr Food Sci. 2025;14(1):28-41. doi: 10.11648/j.ijnfs.20251401.14

    Copy | Download

  • @article{10.11648/j.ijnfs.20251401.14,
      author = {Sophy Cheloti and Elizabeth Kuria and Joseph Kobia},
      title = {Maternal Factors, Feeding Practices and Morbidity Status of Children Aged 0-6 Months Attending Kwanza Hospital’s Well-Baby Clinic
    },
      journal = {International Journal of Nutrition and Food Sciences},
      volume = {14},
      number = {1},
      pages = {28-41},
      doi = {10.11648/j.ijnfs.20251401.14},
      url = {https://doi.org/10.11648/j.ijnfs.20251401.14},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijnfs.20251401.14},
      abstract = {Good nutrition in early life is key to building the body’s immunity and good health in later years. For children aged 0-6 months, exclusive breastfeeding (EBF) is widely advocated as the optimum practice. In Kenya, exclusive breastfeeding rates are still low. The purpose of this study was to determine the maternal factors, feeding practices and morbidity among children aged 0 to 6 months attending well baby clinic at Kwanza Hospital, Trans-Nzoia, Kenya. A cross-sectional analytical design was utilized and systematic sampling used to attain the sample size of 151 children. Questionnaires, focus group discussion and key informant guides were employed in data collection. SPSS version 28 was used for data analysis. To evaluate the results, descriptive statistics, chi-square test, ODDs ratio and logistic regression were employed. Majority (63.5%) of the children were aged 0-3 months. More than half (52%) of the children were on EBF, over a quarter (26.2%) were given prelacteal feeds and nearly half (41.2%) reported sick. The findings revealed associations between mode of delivery with breastfeeding status (p-value 0.0001), marital status with breastfeeding frequency (OR 5.23, 95% CI 1.90-14.36, p-value 0.001), maternal illness with use of prelacteal feeds and morbidity with monthly income. Logistic regression was conducted using the Maximum Likelihood Estimation method (MLE). There was a significant relationship between monthly income and the likelihood of a child being sick (p=0.036). The relationship was a weak positive relationship (r=0.063, r2=0.004). The study concludes that feeding practices among children aged 0-6 months were inadequate (use of prelacteals, mixed feeding and replacement feeding) in relation to World Health Organization standards. Nearly half (41.2%) of the children (0-6 months) suffered from childhood morbidities. This study suggests strengthening of exclusive breastfeeding health talks by health institutions, strengthening preventive strategies to reduce childhood illnesses, counseling and support for mothers having children before marriage.
    },
     year = {2025}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Maternal Factors, Feeding Practices and Morbidity Status of Children Aged 0-6 Months Attending Kwanza Hospital’s Well-Baby Clinic
    
    AU  - Sophy Cheloti
    AU  - Elizabeth Kuria
    AU  - Joseph Kobia
    Y1  - 2025/01/23
    PY  - 2025
    N1  - https://doi.org/10.11648/j.ijnfs.20251401.14
    DO  - 10.11648/j.ijnfs.20251401.14
    T2  - International Journal of Nutrition and Food Sciences
    JF  - International Journal of Nutrition and Food Sciences
    JO  - International Journal of Nutrition and Food Sciences
    SP  - 28
    EP  - 41
    PB  - Science Publishing Group
    SN  - 2327-2716
    UR  - https://doi.org/10.11648/j.ijnfs.20251401.14
    AB  - Good nutrition in early life is key to building the body’s immunity and good health in later years. For children aged 0-6 months, exclusive breastfeeding (EBF) is widely advocated as the optimum practice. In Kenya, exclusive breastfeeding rates are still low. The purpose of this study was to determine the maternal factors, feeding practices and morbidity among children aged 0 to 6 months attending well baby clinic at Kwanza Hospital, Trans-Nzoia, Kenya. A cross-sectional analytical design was utilized and systematic sampling used to attain the sample size of 151 children. Questionnaires, focus group discussion and key informant guides were employed in data collection. SPSS version 28 was used for data analysis. To evaluate the results, descriptive statistics, chi-square test, ODDs ratio and logistic regression were employed. Majority (63.5%) of the children were aged 0-3 months. More than half (52%) of the children were on EBF, over a quarter (26.2%) were given prelacteal feeds and nearly half (41.2%) reported sick. The findings revealed associations between mode of delivery with breastfeeding status (p-value 0.0001), marital status with breastfeeding frequency (OR 5.23, 95% CI 1.90-14.36, p-value 0.001), maternal illness with use of prelacteal feeds and morbidity with monthly income. Logistic regression was conducted using the Maximum Likelihood Estimation method (MLE). There was a significant relationship between monthly income and the likelihood of a child being sick (p=0.036). The relationship was a weak positive relationship (r=0.063, r2=0.004). The study concludes that feeding practices among children aged 0-6 months were inadequate (use of prelacteals, mixed feeding and replacement feeding) in relation to World Health Organization standards. Nearly half (41.2%) of the children (0-6 months) suffered from childhood morbidities. This study suggests strengthening of exclusive breastfeeding health talks by health institutions, strengthening preventive strategies to reduce childhood illnesses, counseling and support for mothers having children before marriage.
    
    VL  - 14
    IS  - 1
    ER  - 

    Copy | Download

Author Information
  • Wamalwa Kijana Teaching and Referral Hospital, Equip Africa College of Medical and Health Sciences, Kitale, Kenya

    Biography: Sophy Cheloti is a Clinical Nutrition and Dietetics Officer at Wamalwa Kijana Teaching and Referral Hospital. She is a master’s student at Kenyatta University and holds a Bachelor’s degree from the University of Eldoret.

    Research Fields: Maternal, Infant and Young Child Nutrition

  • School of Health Sciences, Kenyatta University, Nairobi, Kenya

    Biography: Elizabeth Kuria is an Associate Professor, Department of Foods, Nutrition and Dietetics, Kenyatta University. She holds a PhD from Edith Cowan University, Australia, and a Master’s degree from Kenyatta University.

    Research Fields: Food and Nutrition Security, Gender, Education & Social Protection

  • School of Health Sciences, Kenyatta University, Nairobi, Kenya

    Biography: Joseph Kobia is a Lecturer, Department of Foods, Nutrition and Dietetics, Kenyatta University. He is a PhD holder with a Master’s degree from the University of Nairobi.

    Research Fields: Micronutrient Deficiencies and Infant Young Child Feeding

  • Abstract
  • Keywords
  • Document Sections

    1. 1. Introduction
    2. 2. Materials and Methods
    3. 3. Results
    4. 4. Discussion
    5. 5. Conclusions
    Show Full Outline
  • Abbreviations
  • Acknowledgments
  • Author Contributions
  • Funding
  • Data Availability Statement
  • Conflicts of Interest
  • References
  • Cite This Article
  • Author Information