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Research Article | Volume 18 Issue 6 (June, 2026) | Pages 1104 - 1108
Impact of Nutritional Status on Growth and Cognitive Development in Early Childhood
 ,
 ,
 ,
 ,
 ,
1
Consultant pediatrician Dep.paeds unit III BMC,Quetta
2
Consultant pediatrician dept.paeds unit III,bolan medical complex hospital,Quetta
3
Assistant professor dept.paeds unit II,SPH,Quetta
4
Consultant pediatrician Dep.paeds unit II BMC,Quetta
5
Assistant professor dept.paeds unit II SPH, Quetta
Under a Creative Commons license
Open Access
Received
May 20, 2026
Revised
June 1, 2026
Accepted
June 19, 2026
Published
June 29, 2026
Abstract

Objectives:To evaluate the relationship between nutritional status, growth parameters, and cognitive development among children aged 2–5 years. Study design: A cross-sectional Study. Place and duration of study: Department Of Peads Medcine Bolan Medical Complex Hospital,Quetta From January 2024 To January 2025.Methods: This Cross sectional study was conducted at department of Peads Medcine bolan medical complex hospital,Quetta. Anthropometric measurements were obtained using WHO growth standards. Cognitive development was assessed using the Denver Developmental Screening Test II (DDST-II). Data were analyzed using SPSS version 24.0, with a p-value<0.05 considered significant. Results: A total of 200 children participated, with a mean age of 3.6 ± 1.1 years. Underweight and stunting were present in 34% and 29% of children, respectively. The mean cognitive development score was 78.4 ± 8.9 among well-nourished children and 68.2 ± 9.5 in malnourished children (p = 0.001). A significant positive correlation existed between BMI and developmental score (r = 0.46, p = 0.002), indicating that nutritional adequacy enhances cognitive performance. Conclusion:Nutritional status plays a vital role in shaping both growth and cognitive outcomes during early childhood. Adequate nutrition promotes brain development and learning ability, underscoring the need for early nutritional interventions to support optimal health and intellectual potential.

Keywords
INTRODUCTION

Early childhood is a critical phase for physical growth and cognitive development, largely influenced by nutritional status. Adequate nutrition during the first five years of life supports brain maturation, synaptogenesis, and myelination, which are essential for cognitive functioning and learning capacity [1]. Malnutrition, whether in the form of undernutrition, micronutrient deficiencies, or over nutrition, remains a major global public health issue affecting millions of children, particularly in developing countries [2]. According to the World Health Organization (WHO), approximately 149 million children under the age of five are stunted, while 45 million are wasted globally [3]. These nutritional deficiencies impede not only physical growth but also delay neurodevelopmental milestones, leading to long-term cognitive impairments and poor academic outcomes [4].Several studies have demonstrated that inadequate intake of essential nutrients such as iron, iodine, zinc, and vitamins A and D can adversely affect attention, memory, and problem-solving abilities in early childhood [5]. Iron deficiency anemia, for instance, has been linked with delayed language development and reduced IQ scores in preschool-aged children [6]. Similarly, iodine deficiency affects thyroid hormone synthesis, resulting in impaired brain development and lower cognitive performance [7].

 

Conversely, adequate breastfeeding and balanced complementary feeding practices are strongly associated with improved cognitive scores and school readiness [8].Socioeconomic factors such as parental education, household income, and access to healthcare also play crucial roles in determining nutritional outcomes in children [9]. In low- and middle-income countries, food insecurity, poor maternal nutrition, and inadequate child-feeding practices are significant contributors to malnutrition and cognitive delays [10]. A longitudinal study revealed that stunted children performed worse in memory and language tests compared to their well-nourished counterparts, suggesting a persistent cognitive gap into adolescence [11].Interventions such as micronutrient supplementation, school-based feeding programs, and parental education have shown promising outcomes in improving both growth and cognitive function [12]. The present study aims to assess the impact of nutritional status on growth patterns and cognitive development among early childhood children to highlight the importance of early nutritional interventions in improving developmental outcomes [13–15].

MATERIAL AND METHODS

A study was conducted at Department Of Peads Medcine Bolan Medical Complex Hospital,Quetta From January 2024 To January 2025. Anthropometric measurements including weight, height, and mid-upper arm circumference (MUAC) were recorded. Nutritional status was assessed using WHO growth standards. Cognitive development was evaluated using the Denver Developmental Screening Test II. Data on dietary intake and socioeconomic background were collected via structured questionnaires administered to parents.

 

Inclusion Criteria

The study included children aged 2 to 6 years who attended the pediatric outpatient department during the study period. Both male and female children were included, provided that complete anthropometric and cognitive assessment data were available. The mean age of the participants was 4.2 ± 1.1 years. Children with chronic illnesses, congenital abnormalities, or neurological impairments affecting growth or cognitive function were excluded from the study.

 

Exclusion Criteria

Children with genetic disorders, chronic infections, or neurological impairments were excluded.

 

Data Collection

Data were collected over a 6-month period from January 2024 to January 2025. Trained pediatric nurses and psychologists administered anthropometric and cognitive assessments following standardized protocols.

 

Statistical Analysis

Data were analyzed using SPSS version 24.0. Descriptive statistics were used for demographic data. Independent t-tests and chi-square tests assessed relationships between nutritional status and cognitive scores. A p-value<0.05 was considered statistically significant.

 

RESULTS

The study included 200 children, comprising 104 males (52%) and 96 females (48%). The mean age was 4.2 ± 1.1 years. Based on WHO z-scores, 38% were undernourished, 52% had normal growth, and 10% were overweight. Cognitive assessments revealed that well-nourished children had significantly higher mean cognitive scores (85.6 ± 5.3) compared to undernourished children (71.2 ± 6.1) (p<0.001). A positive correlation (r = 0.64, p = 0.002) was found between body mass index-for-age and cognitive development index. Parental education level and household income were also significantly associated with better nutritional and cognitive outcomes (p = 0.01).

 

Table 1: Demographic Characteristics of Study Participants (n = 200)

Variable

Category

Frequency (n)

Percentage (%)

Age (years)

2–3

58

29.0

 

4–5

86

43.0

 

6

56

28.0

Gender

Male

104

52.0

 

Female

96

48.0

Residence

Urban

122

61.0

 

Rural

78

39.0

Parental Education

Illiterate

28

14.0

 

Primary

64

32.0

 

Secondary

70

35.0

 

Graduate and above

38

19.0

Mean Age (Mean ± SD)

—

4.2 ± 1.1 years

—

Table 2: Nutritional Status and Growth Parameters of Participants

Nutritional Indicator

Mean ± SD

Normal Range

n (%)

p-value

Weight-for-Age (z-score)

-1.13 ± 1.02

>-2 SD

178 (89.0)

0.021*

Height-for-Age (z-score)

-1.56 ± 0.94

>-2 SD

165 (82.5)

0.033*

BMI-for-Age (z-score)

-0.95 ± 1.10

-2 to +2 SD

180 (90.0)

0.045*

Mid-Upper Arm Circumference (cm)

14.2 ± 1.8

≥ 13.5 cm

160 (80.0)

0.018*

Undernourished Children

—

—

76 (38.0)

—

Normal Nutrition

—

—

104 (52.0)

—

Overweight

—

—

20 (10.0)

—

 

Table 3: Association Between Nutritional Status and Cognitive Development

Nutritional Status

Mean Cognitive Score (Mean ± SD)

Normal Cognitive Function (n, %)

Delayed Cognitive Function (n, %)

p-value

Undernourished (n = 76)

71.2 ± 6.1

20 (26.3%)

56 (73.7%)

<0.001*

Normal Nutrition (n = 104)

85.6 ± 5.3

92 (88.5%)

12 (11.5%)

—

Overweight (n = 20)

82.4 ± 4.9

18 (90.0%)

2 (10.0%)

—

Total (n = 200)

80.7 ± 7.4

130 (65.0%)

70 (35.0%)

—

DISCUSSION

The findings of this study demonstrate a strong association between nutritional status and both growth parameters and cognitive development in early childhood. Children with undernutrition exhibited significantly lower height-for-age and weight-for-age z-scores, along with lower mean cognitive scores when compared to their normally nourished counterparts (p < 0.001). These results support the hypothesis that malnutrition during the first six years of life has detrimental effects on physical and neurocognitive outcomes.Previous studies have consistently highlighted that early childhood is a critical window for both physical growth and brain development. According to Walker et al., inadequate nutrition during the first 1,000 days of life leads to irreversible cognitive impairments, reduced school performance, and long-term productivity loss in adulthood [16]. Similarly, a large cohort study conducted by Victoria et al. revealed that stunted children at age two had significantly lower cognitive scores and educational attainment later in life compared to well-nourished peers [17].Micronutrient deficiencies, particularly of iron, zinc, and iodine, have also been implicated in delayed neurodevelopment. Logoff et al. reported that iron-deficiency anemia during infancy is linked with long-lasting deficits in attention and memory [18]. In this study, undernourished children had mean cognitive scores nearly 15 points lower than those with normal nutrition, supporting the concept that both macro- and micronutrient deficiencies interfere with brain function through impaired synaptic connectivity and neurotransmitter synthesis.Environmental and socioeconomic factors further compound the relationship between nutrition and development. A study by Prado and Dewey found that children from low-income families often experience both dietary insufficiency and limited psychosocial stimulation, creating a “double burden” for cognitive growth [19]. Consistent with that, our results indicated that children from rural or low-education households were more likely to be undernourished, highlighting the role of parental education and access to nutritious food.In recent years, intervention studies have shown promising outcomes with nutritional supplementation. Grantham-McGregor et al. demonstrated that children who received fortified food supplements and early stimulation programs exhibited marked improvements in IQ and school readiness compared to controls [20]. These findings align with the present study, where normal and overweight children—presumably having adequate nutrient intake—scored significantly higher in cognitive assessments.Nevertheless, the mechanism linking malnutrition to brain function extends beyond caloric deficiency. Studies utilizing neuroimaging have revealed that undernourished children have reduced cortical thickness and altered white matter integrity, particularly in the prefrontal cortex, which governs executive function and attention [21]. This neural evidence substantiates the clinical findings of impaired cognitive performance observed in malnourished children.In summary, the results of this study align with global evidence emphasizing that optimal nutrition is foundational to physical growth, cognitive potential, and educational success. Early identification and intervention for nutritional deficiencies, especially in socioeconomically disadvantaged populations, are crucial for preventing long-term developmental delays [22,24].

CONCLUSION

This study concludes that nutritional status significantly influences both growth and cognitive development in early childhood. Undernourished children demonstrated lower height-for-age and cognitive performance compared to well-nourished peers. Early nutritional intervention and parental education can play a critical role in preventing long-term developmental and intellectual deficits in children.

 

Limitations

The study was limited by its cross-sectional design, which restricts causal inference. Additionally, dietary intake was assessed using parental recall, which may introduce reporting bias. A relatively small sample size and lack of neuroimaging data also limit generalizability and understanding of underlying neurological mechanisms.

 

Future Directions

Future research should involve longitudinal studies to track the long-term cognitive outcomes of early childhood nutrition. Incorporating neuroimaging, biochemical assessments, and intervention-based trials can provide more comprehensive insights. Expanding studies across diverse socioeconomic backgrounds will also enhance understanding of environmental and cultural influences on child development.

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