Original Article
Frequency of Underweight and its Risk Factors in Children Aged 6 to 59 Months
Authors: Mohsin Ali Memon , Syed Nauman Raza , Syed Muhammad Zulfiqar Hyder Naqvi , Syed Imtiaz Ahmed Jafry
DOI: https://doi.org/10.37184/lnjpc.2707-3521.7.51
Year: 2025
Volume: 7
Received: Nov 20, 2024
Revised: Jan 30, 2025
Accepted: Mar 04, 2025
Corresponding Auhtor: Mohsin Ali Memon (drmohsin06@gmail.com)
All articles are published under the Creative Commons Attribution License
Abstract
Background: Globally, approximately 104 million children suffer from underweight conditions, with a significant majority residing in regions such as sub-Saharan Africa and South Asia. In Pakistan, the issue of underweight prevalence among children under the age of 5 is alarming across all provinces, ranging from 19.2% in Islamabad Capital Territory to 41.3% in Sindh.
Objective: To assess the frequency of underweight and identify its associated factors among children aged 6 to 59 months in Nawabshah City, Sindh.
Methods: A cross-sectional study was conducted at Baqai Institute of Health Sciences, Karachi from February 2023 to March 2024. The study included a total of 371 children aged 6 to 59 months. Data collection was performed using interviews and weight measurement. Being underweight was defined as children with a weight-for-age z-score of <-2SD, determined by using WHO child growth standards. Statistical analysis was performed using SPSS version 20.
Results: The mean age of the children was 24.21±13.14 months, 198 (53.4%) were female whereas only 44 (11.9%) were completely immunized. Moreover, 111 (29.9%) study children were found to be underweight. Multivariable analysis further revealed that female gender, not exclusively breastfeeding a child for six months, weaning at 6 months of age or above, bottle feeding, and not providing meat to a child in any form were significantly associated with the child being underweight.
Conclusion: Around thirty percent of the study children were identified as underweight. Moreover, many participant characteristics and practices studied were significantly associated with children being underweight.
Keywords: Frequency, underweight, demographics, risk factors, children.
INTRODUCTION
Underweight, as per the World Health Organization’s definition, is characterized by a low weight for a particular age, falling below -2 standard deviations for that age and gender [1]. Worldwide, an estimated 104 million children are grappling with underweight conditions, with a significant concentration of these cases found in regions like sub-Saharan Africa and South Asia [2]. According to the statistics of the National Nutritional Survey of Pakistan, the prevalence of underweight among children under 5 years of age is high in all provinces from 19.2% in Islamabad capital territory to 41.3% in Sindh. The burden of malnutrition is becoming increasingly apparent, with 28.9% of children being underweight. The prevalence of underweight is below 20% only in Islamabad [3]. The reported high prevalence of underweight children in Pakistan remains a big concern for policymakers and thus requires urgent attention from all stakeholders.
Addressing underweight children is a complex issue that cannot be remedied through a single solution. It stems from a multitude of factors, with the most immediate determinants being inadequate dietary intake and disease. These factors, in turn, are influenced by a myriad of underlying causes such as household dynamics,
maternal and childcare practices, access to safe water, frequency of meals, bottle feeding habits, maternal feeding practices, weaning patterns, vaccination status, and recent illness history. Moreover, these underlying causes are further shaped by broader economic, political, and sociocultural contexts at both national and global levels. At the community level, socioeconomic factors play a pivotal role in determining the prevalence and incidence of underweight children [4].
Underweight persists as a prevalent cause of morbidity and mortality among children in low-income nations. A significant majority of these fatalities are linked to improper feeding practices occurring within the first five years of life [5]. Undernutrition not only contributes to children being underweight but also elevates the risk of infections, morbidity, and mortality while hindering mental and cognitive development.
Sufficient nutrition is crucial for fostering a robust immune system and supporting optimal physical and cognitive development during early childhood [6]. While the National Nutrition Survey of 2018 indicated a prevalence of underweight to be 28.9% [3], to the best of the authors’ knowledge, the recent local literature on this topic is limited at best. Moreover, over the past five years, several factors such as population growth and urbanization have significantly influenced people’s livelihoods and health practices. In the given context,
this study was conducted to assess the prevalence of underweight and its associated factors among children aged 6 to 59 months in Nawabshah City, Sindh. The results of this study will help in broadening the local evidence base and will aid in devising suitable strategies for future targeted interventions in our local settings.
METHODS
A cross-sectional study was conducted at Baqai Institute of Health Sciences with data collection performed at a private medical center and maternity home in Union Council Number 9, Nawabshah City, Sindh, Pakistan from February 2023 to March 2024. The study population consisted of children aged 6 months to 59 months coming to a private medical center in Union Council Number 9, Nawabshah City, Sindh, Pakistan. Children aged from 6 months to 59 months were included in the study whereas those with any chronic illness, history of recent illness in the last 2 weeks, congenital anomalies, and history of congenital metabolic disorders were excluded from the study.
Based on the percentage frequency of the study outcome of 41.0% [6], with a 95% confidence level and 5.5% precision, the required sample size was calculated to be 308 children by using the openepi online calculator [7]. Children were included in the study by using a non- probability consecutive sampling technique.
The data were collected through a predesigned questionnaire. There were two sections of the questionnaire, section A and section B. Section A contained demographic information, such as gender, age, weight, parent’s education, parent’s employment status, monthly household income, and type of family. Section B consisted of feeding and health information such as exclusive breastfeeding in the first six months, age of weaning, bottle feeding, source of drinking, history of diarrhea, measles, or any other illness in the last two weeks. Being underweight was defined as children with a weight-for-age z-score of <-2SD [1], determined by using WHO child growth standards [8]. The parents of the children were briefed on the nature of the study, and the principal investigator personally filled out the questionnaires.
The data were entered into and analyzed using the Statistical Package for the Social Sciences version 20 while Microsoft Excel was utilized for creating graphs and tables. Descriptive analysis was performed by calculating frequencies and percentages for categorical variables such as gender, type of family, parent’s educational level, and age of weaning and mean and standard deviation for continuous variables such as household family size, number of siblings, household family income, and history of recent illness. For inferential analysis, binary logistic regression was applied to compute univariate odds ratios with a 95% confidence interval for determining the association of participant characteristics and practices with children being underweight. Variables with p<0.25
and other important variables irrespective of p<0.25 in univariate analysis were used to build a multivariable regression model to compute adjusted odds ratios with a 95% confidence interval. A two-tailed p-value of ≤0.05 was considered statistically significant.
RESULTS
Against the calculated sample size of 308, a total of 371 children were included in the study with a response rate of 100%. The mean age of the children was 24.21±13.14 months, their mean weight was 11.48±2.97 kg, 172 (46.4%) of them were aged between 12 to 23
months, 198 (53.4%) were female, 349 (94.1%) mothers
accompanied their children, 190 (51.2%) households had 5 or more members, the mean sibling count was
1.75±1.24 whereas 190 (51.2%) had 2 or more siblings. Furthermore, 44 (11.9%) of them were completely immunized, 181 (48.8%) mothers had primary education or less, 151 (40.7%) fathers had only religious education,
353 (95.1%) mothers were housewives, 333 (89.8%) fathers were employed, 365 (98.4%) respondents were married, 331 (89.2%) reported a monthly household income of less than 30,000 rupees whereas 288 (77.6%) children belonged to joint family system (Table 1).
Table 1: Demographic characteristics.
Demographic Characteristics | Count (%)/Mean ± S.D |
Age (Months) | 24.21 ± 13.14 |
Age Group (Months) | |
Up to 11 months | 41 (11.1) |
12 to 23 months | 172 (46.4) |
24 to 35 months | 93 (25.1) |
36 to 47 months | 23 (6.2) |
48 to 59 months | 42 (11.3) |
Gender | |
Male | 173 (46.6) |
Female | 198 (53.4) |
Weight in Kg | 11.48 ± 2.97 |
Who is Accompanying the Child? | |
Mother | 349 (94.1) |
Father | 22 (5.9) |
Sibling Count | 1.75 ± 1.24 |
Less than 2 | 181 (48.8) |
2 or more | 190 (51.2) |
Immunization Status for Age | |
Completely Immunized | 44 (11.9) |
Partially Immunized | 259 (69.8) |
Not Immunized | 68 (18.3) |
Mothers Education | |
Primary or less | 181 (48.8) |
Secondary | 111 (29.9) |
Intermediate and above | 5 (1.3) |
Only religious education | 74 (19.9) |
Father Education | |
Primary or less | 12 (3.2) |
Secondary | 90 (24.3) |
Intermediate and above | 118 (31.8) |
Only religious education | 151 (40.7) |
Demographic Characteristics | Count (%)/Mean ± S.D |
Mother’s Employment Status | |
Employed/ self-employed | 10 (2.7) |
Student | 8 (2.2) |
House Wife | 353 (95.1) |
Father’s Employment Status | |
Unemployment | 30 (8.1) |
Employed/ self-employed | 333 (89.8) |
Student | 8 (2.2) |
Marital Status | |
Married | 365 (98.4) |
Divorced | 2 (0.5) |
Separated | 3 (0.8) |
Widowed | 1 (0.3) |
Monthly Household Income (Rupees) | |
Less than 30 thousand | 331 (89.2) |
30-60 thousand | 36 (9.7) |
More than 60 thousand | 4 (1.1) |
Family Type | 4.75 ± 1.21 |
Single | 83 (22.4) |
Joint | 288 (77.6) |
The feeding and health profile of the children showed that their mean age of weaning was 6.60±2.70 months, 276 (74.4%) children were exclusively breastfed for six months, 122 (30.2%) mothers breastfed their children for 2 years, 236 (63.6%) children were bottle-fed, 102 (27.5%) mothers provided meat in any form to their children whereas 150 (40.4%) used non-boiled tap water as a water source (Table 2). Moreover, it was seen that out of the total 371 children surveyed, 111 (29.9%) were underweight (Fig. 1).
Multivariable analysis further revealed that female gender (aOR=3.08, 95% CI: 1.26-7.54, p=0.014),
not exclusively breastfeeding child for six months (aOR=269.95, 95% CI: 35.42-2056.86, p<0.001),
weaning at 6 months of age (aOR=48.47, 95% CI: 6.39- 367.42, p<0.001) or above (aOR=36.11, 95% CI: 5.62-
232.04, p<0.001), bottle feeding (aOR=4.09, 95% CI: 1.94-8.64, p<0.001) and not providing meat to child in any form (aOR=3.67, 95% CI: 1.56-8.65, p=0.003) were
significantly associated with the child being underweight
(Table 3).
Table 2: Feeding and health parameters.
Feeding and Health Parameters | Count (%)/Mean±S.D. |
Age of weaning (Months) | 6.6 ± 2.70 |
Exclusively breastfed for six months | |
Yes | 276 (74.4) |
No | 95 (25.6) |
Did child take mother feed for 2 years? | |
Yes | 112 (30.2) |
No | 259 (69.8) |
Was the child Bottle Fed? | |
Yes | 236 (63.6) |
No | 135 (36.4) |
Do you provide meat in any form to the child? | |
Yes | 102 (27.5) |
No | 269 (72.5) |
Source of drinking water at home | |
Boiled tap water | 149 (40.2) |
Non-boiled tap water | 150 (40.4) |
Borehole | 6 (1.6) |
Mineral/Bottled water | 4 (1.1) |
Filtered water | 62 (16.7) |
Table 3: Multivariable analysis of association between participant characteristics and children being underweight.
Participant Characteristics | aOR | 95% CI | p-value | |
Lower | Upper | |||
Child Age (Months) | ||||
6 to 23 months | 1.07 | 0.53 | 2.17 | 0.841 |
24 to 59 months | Ref | |||
Child Gender | ||||
Male | Ref | |||
Female | 3.08 | 1.26 | 7.54 | 0.014 |
Household Size | ||||
Less than 5 | 1.07 | 0.65 | 1.77 | 0.774 |
5 or more | Ref | |||
Sibling Count | ||||
Less than 2 | 2.47 | 0.53 | 11.56 | 0.249 |
2 or more | Ref | |||
Immunization Status for Age | ||||
Completely Immunized | Ref | |||
Partially Immunized | 2.38 | 0.27 | 20.92 | 0.432 |
Not Immunized | 0.46 | 0.04 | 5.05 | 0.533 |
Mother’s Education | ||||
Primary or less | 0.22 | 0.01 | 3.50 | 0.284 |
Secondary | 1.32 | 0.16 | 10.79 | 0.793 |
Intermediate and above | 7.32 | 0.58 | 92.19 | 0.123 |
Only religious education | Ref | |||
Father’s Education | ||||
Primary or less | 2.73 | 0.39 | 18.84 | 0.308 |
Secondary | 0.43 | 0.07 | 2.56 | 0.357 |
Intermediate and above | 0.08 | 0.01 | 1.17 | 0.066 |
Only religious education | Ref | |||
Mother’s Employment Status | ||||
Employed/ self-employed | 1.55 | 0.31 | 7.79 | 0.591 |
Student | 0.21 | 0.01 | 2.62 | 0.226 |
House Wife | Ref | |||
Father’s Employment Status | ||||
Unemployment | 0.39 | 0.03 | 4.29 | 0.446 |
Participant Characteristics | aOR | 95% CI | p-value | |
Lower | Upper | |||
Employed/ self-employed | 0.84 | 0.10 | 6.82 | 0.873 |
Student | Ref | |||
Marital Status | ||||
Married | 0.14 | 0.01 | 1.85 | 0.138 |
Divorced/Widowed/Separated | Ref | |||
Monthly Household Income (Rupees) | ||||
Less than 30 thousand | 0.94 | 0.11 | 8.01 | 0.956 |
30 to 60 thousand | Ref | |||
Type of Family | ||||
Nuclear | 0.26 | 0.01 | 5.08 | 0.381 |
Joint | Ref | |||
Exclusively Breastfed for Six Months | ||||
Yes | Ref | |||
No | 269.95 | 35.42 | 2056.86 | *<0.001 |
Age at Weaning | ||||
Less than 6 months | Ref | |||
6 months | 48.47 | 6.39 | 367.42 | *<0.001 |
More than 6 months | 36.11 | 5.62 | 232.04 | *<0.001 |
Did child take mother feed for 2 years? | ||||
Yes | 1.70 | 0.70 | 4.16 | 0.239 |
No | Ref | |||
Was the child bottle fed? | ||||
Yes | 4.09 | 1.94 | 8.64 | *<0.001 |
No | Ref | |||
Do you provide meat in any form to the child? | ||||
Yes | Ref | |||
No | 3.67 | 1.56 | 8.65 | *0.003 |
aOR: Adjusted odds ratio, CI: Confidence interval, Ref: Reference category, *Significant at p<0.05
DISCUSSION
The study results showed that 29.9% of children were underweight. Similarly, the National Nutritional Survey of Pakistan, 2018 reported that 28.9% of children are underweight [9]. Likewise, Ahmad et al. in 2022 from Batgaram KPK, Pakistan reported 33.3% of children to be underweight [10]. Menghwar et al. 2021 from District Tharparkar Sindh though reported that 57.3% of children aged less than 5 years are underweight [11]. Another study by Ahmad et al. in 2020 reported that 19.5% of children are underweight in rural areas of the District Multan [12]. This shows that a considerable percentage of children in our country are underweight, highlighting the need for urgent targeted interventions for children to improve their nutritional status.
Moreover, it was found that the mean age of weaning was 6.6±2.70 months among the studied children. Breast milk is the best food for all babies [13]. Infants should be introduced to complementary foods at 6 months while continuing to breastfeed. The American Academy of Pediatrics and the World Health Organization also recommend exclusive breastfeeding for about the first
6 months, with continued breastfeeding along with
introducing appropriate complementary foods for up to 2 years of age or longer [14].
The study results further showed that 74.4% of children were exclusively breastfed for 6 months. Similarly, Ahmad et al. 2022 reported that 60.5% of children were exclusively breastfed for 6 months [15]. Moreover, the National Nutritional Survey of Pakistan, 2018 reported that 63.0% of children have been exclusively breastfed [9]. Unlike these results, Penugonda et al. in 2022 reported that 47% of their study participants breastfed their children for 6 months [16]. These findings show that the majority of Pakistani children are exclusively breastfed for six months, in line with the established guidelines [14]. Cultural practices, socio-economic status, and maternal education levels influence breastfeeding practices in different regions of the world.
The present study results showed that only 30.2% of mothers breastfed their children for 2 years. Similarly, Jama et al. reported that 20.4% of mothers breastfed their children for 2 years [17]. Breast milk is extremely important for children, so there should be an immediate awareness program to inform mothers about the importance of breastfeeding for their children. Prolonged breastfeeding, in particular, has been associated with better cognitive development and long-term health outcomes for children.
The results further revealed that 63.6% of children in our study were bottle-fed. Similarly, Duraisamy et al. in 2020 reported that 78.6% of participants bottle-fed their children [18]. Unlike these results, Ahmad et al. reported that 28.3% of participants bottle-fed their children [15]. Breastfeeding is extremely important for children, and while bottle feeding may be permitted under medical necessity with a practitioner’s approval, providing bottle feeding to children on such a large scale is an alarming situation that requires unanimous practical measures to prevent it. Societal attitudes towards breastfeeding, as well as the availability and promotion of formula-feeding products, may contribute to higher rates of bottle-feeding in certain populations.
The study results showed that 27.5% of mothers provided meat in any form to their children. Children should be given minced meat, which contains protein and helps with muscle building. Introducing weaning alongside breastfeeding on time is very beneficial for the child, especially with soft foods such as rice, and porridge, including minced meat, proves to be beneficial.
The study results showed that 40.4% of participants were using non-boiled tap water as a water source. In countries like Pakistan, diarrhea and pneumonia are common illnesses. Non-boiled water contributes to many diseases, including diarrhea, which is a major cause of weight loss. It is of the utmost importance to boil water. There is a critical need to raise awareness about using boiled water at every level and to continue this practice.
Moreover, female gender was found to be significantly associated with child being underweight. Likewise, Kumar et al. in 2019 reported a higher likelihood of a girl child being underweight than a boy child [19]. Female child, especially in our society faces a lot of discrimination since their birth, which includes the nutritional choices made for them during their childhood.
The study results did not show parental education level to be significantly associated with the child being underweight, though dissimilar findings have been reported previously [20-23]. A parent who is well-educated can be reasonably expected to know about better nutritional choices for his/her child and is also more likely to be aware of the side effects of bad nutritional practices.
Expectedly, the study results showed that the frequency of underweight was significantly associated with the age at weaning. Delaying weaning or initiation of supplementary foods can lead to insufficient intake of energy, proteins, and micronutrients, resulting in underweight and compromised micronutrient levels. Late weaning can also cause difficulties in eating behaviors, such as chewing food properly and refusing to eat, which further affects nutritional status.
Interestingly, the study results showed that the odds of being underweight were significantly higher if the child was not exclusively breastfed for six months. In a recent study by Yakubu et al., it was noted that many mothers did not breastfeed their children for up to 6 months, and as a result, the children were underweight [24]. Breastfeeding is widely recognized as a crucial factor in promoting optimal growth and development in infants. The nutrients present in breast milk are tailored to meet the specific needs of the growing child, providing essential vitamins, minerals, and antibodies that contribute to healthy weight gain and immune function. Furthermore, the benefits of breastfeeding extend beyond mere nutrition, encompassing factors such as bonding between mother and child and protection against infections and chronic diseases.
The study results also showed that the odds of being underweight were significantly higher in children who were bottle-fed. This association underscores the potential consequences of bottle-feeding practices on child health outcomes as bottle feeding may lead to inadequate nutrient intake and compromised growth. These findings emphasize the importance of promoting breastfeeding initiatives and discouraging reliance on bottle feeding to ensure optimal child health outcomes. Recognizing and addressing factors influencing bottle feeding is crucial to improving infant feeding practices and mitigating the risk of being underweight among children.
It is acknowledged that being a single-center study with a moderate sample size, the generalizability of study findings is limited.
CONCLUSION
It was found that only thirty percent of mothers continued breastfeeding their children for up to two years. Moreover, non-boiled tap water was used for drinking purposes by forty percent of the respondents, posing potential health risks. Notably, around thirty percent of the study children were identified as underweight. Furthermore, multivariable analysis revealed that female gender, not exclusively breastfeeding a child for six months, weaning at 6 months of age or above, bottle feeding, and not providing meat to a child in any form were significantly associated with the child being underweight.
Implementation of targeted interventions to promote exclusive breastfeeding for the recommended duration and improving breastfeeding continuation rates are vital. Public health campaigns should raise awareness about the risks associated with bottle-feeding while efforts should also be made to ensure access to safe drinking water sources. High underweight prevalence in our local setting requires tailored interventions to improve child nutrition outcomes within the community.
ETHICS APPROVAL
The ethical approval of the study was taken from the Baqai Institute of Health Sciences (Ref. No. FHM 29- 2023). The study procedures were in line with the institutional ethical standards for human experiments and the Helsinki Declaration.
CONSENT FOR PUBLICATION
Before data collection, verbal informed consent was taken from each participant’s guardian in the study.
AVAILABILITY OF DATA
Data cannot be shared publicly because it is the intellectual property of the Baqai Institute of Health Sciences. Data are available from the Baqai Institute of Health Sciences (contact via manager.mph@baqai.edu. pk).
FUNDING
None.
CONFLICT OF INTEREST
The authors declare no conflict of interest.
ACKNOWLEDGEMENTS
Declared none.
AUTHORS’ CONTRIBUTION
MAM: Study concept, designing, and manuscript drafting.
SNR: Study design, critical review, and revision of the initial draft.
SMZHN: Result in analysis and interpretation, critical review, and revision of the initial draft.
SIAJ: Critical review and revision of the initial draft. All authors have read and approved the manuscript.
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