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Original Article
40 (
3
); 134-138
doi:
10.25259/KPJ_16_2025

Wheeze and risk: Unpacking the environmental and social factors in young children

Department of Paediatrics, Karnataka Medical College and Research Institute, Hubballi, Karnataka, India.

*Corresponding author: Vinod H. Ratageri, Department of Paediatrics, Karnataka Medical College and Research Institute, Hubballi, Karnataka, India. vhratageri@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, transform, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

How to cite this article: Nayak NN, Raghavendra G, Madhu PK, Ratageri VH. Wheeze and risk: Unpacking the environmental and social factors in young children. Karnataka Paediatr J. 2025;40:134-8. doi: 10.25259/KPJ_16_2025

Abstract

Objectives:

To identify environmental risk factors and clinic social profiles in children under 5 with recurrent wheezing admitted to a tertiary care centre in North Karnataka.

Material and Methods:

This retrospective case–control study involved children <5 years, with cases comprising those admitted for recurrent wheezing from September 2022 to August 2023, and controls consisting of age-matched children attending routine immunisation. Data on demographics and risk factors were analysed using logistic regression, with an emphasis on socio-economic and environmental factors.

Results:

Total number of children recruited for the study were 34. The average age at presentation was 30 months, and the male-to-female ratio was 1.5:1. The most common symptoms were cough (100%), hurried breathing (80%) and chest indrawing (80%). Among the risk factors on univariate analysis, low socio-economic status (SES) (P < 0.005), anaemia (P < 0.01) and overcrowding (P < 0.04) were found to be significant. However, on multiple regression analysis, only low SES (Odds ratios [OR]-8.8, 95 confidence intervals [CI], 1.97–41.29) and moderate-to-severe anaemia (OR-20.8, 95CI, 1.76–245.05) were identified as significant factors.

Conclusion:

Lower SES and anaemia were significant predictors of wheezing in our study population.

Keywords

Anaemia
Environmental risk factors
Retrospective study
Socio-economic status
Under-5 wheezing

INTRODUCTION

Wheezing in early childhood is a common concern in paediatric practice, with studies indicating that approximately one-third of children experience wheezing episodes by the age of three. There is a paucity of Indian studies on wheezing; however, a recent study reported an incidence of recurrent wheezing of 43% among children under 5 years of age.[1] The underlying causes of wheezing are multifaceted and may include genetic, anatomical, immunological and environmental factors. Many children with early-life wheezing are at increased risk for developing persistent respiratory conditions such as asthma, although only a subset progresses to chronic wheeze, underscoring the need for effective identification of high-risk individuals.[2]

According to the Global Initiative for Asthma 2025 guidelines, wheezing in children under 5 years of age is classified using the modified asthma predictive index into categories of low, moderate and high probability of developing asthma.[3] Transient early wheezing is often associated with viral infections and resolves as the child ages and airways enlarge. Persistent wheezing, by contrast, is frequently linked with atopic predisposition and may progress to asthma or other chronic respiratory diseases.[4] The interaction of environmental exposures, such as tobacco smoke, indoor air pollution and socio-economic status (SES), plays a critical role in the prevalence and severity of wheezing episodes.[5]

In India, there is limited data on the clinic-social and environmental factors that contribute to wheezing among children under 5. Given the paucity of research on risk factors in the Indian context, this study aims to bridge this gap by exploring the environmental risk factors and clinic-social profile of under-5 wheezers admitted to a tertiary care centre.

MATERIAL AND METHODS

This retrospective case-control study was conducted at the Karnataka Medical College and Research Institute. Data were collected from September 2022 to August 2023.

The study included children aged <5 years. Cases were defined as children admitted for recurrent wheezing episodes, i.e., recurrent wheezing has been defined by the National Asthma Education and Prevention Program Expert Panel as more than three episodes of wheezing in the past year that lasted more than 1 day and affected sleep,[6] while controls comprised children of the same age group who attended the clinic for routine immunisation during the study period and also with no prior history of wheezing.

Inclusion criteria

Children diagnosed with recurrent wheezing by clinical examination and after ruling out alternate viral aetiologies.

Exclusion criteria

  1. Children with pneumonia

  2. Children with congenital pulmonary malformations.

The study was approved by the institutional ethical committee (KMCRI: ETHCSCOMM: 103:2024-25).

Data were extracted from medical records using a pre-designed proforma. Demographic details, medical history, SES, environmental exposures, nutritional status and history of possible risk factors such as atopic dermatitis, low birth weight, preterm delivery, mode of delivery, history of Neonatal Intensive Care Unit admission, immunisation history, feeding history, smoking history in parents, indoor pollution, exposure to pets, overcrowding, anthropometry, history of anaemia was studied . A child is said to be fully immunized if the child receives all due vaccines as per the national immunization schedule within the first year of the child’s age.[7] Socio-economic class defined as per the modified Kuppuswamy scale,[8] malnutrition defined by the World Health Organization[9] for severe and moderate acute malnutrition as (I) weight for height/length <−3Z score and −2–−3Z, respectively; (II) presence of visible severe wasting; (III) nutritional edema; (IV) mid-upper arm circumference of <115 mm, family history of asthma, allergies, overcrowding.

Statistical analysis

Descriptive statistics were computed, and logistic regression was applied to determine significant associations. Basic demographic information, such as age, gender and SES, was summarised using frequencies and percentages for categorical variables and means and standard deviations for continuous variables. Odds ratios (OR) with 95% confidence intervals (CI) were calculated to assess the strength of association for each risk factor. Each risk factor was first analysed individually in relation to wheezing using univariate logistic regression.

RESULTS

Figure 1 depicts the study flow chart. Thirty-four children initially met the criteria for recurrent wheezing, but four were excluded due to chronic conditions. The mean age at presentation was 30 months (median - 29.5 months; interquartile range 23.5–36 months), and all cases in the study were found to be more than 6 months old. The male-to-female ratio was 1.5:1, with a male preponderance of 60% (n = 18) in the study group and 1.3:1, with a male preponderance of 56% (n = 17) in the control group, consistent with other studies indicating a higher incidence of wheezing among males.[10,11] The most common clinical presentation among the cases was cough (100%) followed by hurried breathing (80%) and chest indrawing (80%).

Selection of cases for the study.
Figure 1:
Selection of cases for the study.

Risk factors

SES

Table 1 shows univariate analysis of various risk factors. Among them, low SES (P < 0.005), overcrowding (P = 0.01) and anaemia (P = 0.04) were found significant. After multiple regression analysis only low SES (OR-8.8, 95 CI, 1.97–41.29) and moderate to severe anaemia (OR-20.8, 95CI, 1.76–245.05) were found significant [Table 2].

Table 1: Risk factors for under-5 wheezer (n=30) - univariate analysis.
Independent variables Value Case (%) Control (%) Total (%) P-value
Sex Male 18 (60) 17 (56.7) 35 (58.3) 0.793
Female 12 (40) 13 (43.3) 25 (41.7)
Atopic dermatitis Present 3 (10) 2 (6.7) 5 (8.3) 0.64
Absent 27 (90) 28 (93.3) 55 (91.7)
2 Episodes 11 (36.7) 8 (26.7) 19 (31.7)
Absent 0 (0) 20 (66.7) 20 (33.3)
Family history of asthma Present 7 (23.3) 3 (10) 10 (16.7) 0.166
Absent 23 (76.7) 27 (90) 50 (83.3)
Low birth weight Present 13 (43.3) 7 (23.3) 20 (33.3) 0.1
Absent 17 (56.7) 23 (76.7) 40 (66.7)
Preterm delivery Present 10 (33.3) 6 (20) 16 (26.7) 0.243
Absent 20 (66.7) 24 (80) 44 (73.3)
Maternal DM/HTN Present 7 (23.3) 7 (23.3) 14 (23.3) 1
Absent 23 (76.7) 23 (76.7) 46 (76.7)
LSCS Present 8 (26.7) 4 (13.3) 12 (20) 0.197
Absent 22 (73.3) 26 (86.7) 48 (80)
NICU admission Present 14 (46.7) 10 (33.3) 24 (40) 0.292
Absent 16 (53.3) 20 (66.7) 36 (60)
Immunisation Incomplete 10 (33.3) 5 (16.7) 15 (25) 0.136
Complete 20 (66.7) 25 (83.3) 45 (75)
Bottle-feeding Present 8 (26.7) 6 (20) 14 (23.3) 0.542
Absent 22 (73.3) 24 (80) 46 (76.7)
Lower SES Present 25 (83.3) 10 (33.3) 35 (58.3) <0.005
Absent 5 (16.7) 20 (66.7) 25 (41.7)
Passive smoking Present 6 (20) 4 (13.3) 10 (16.7) 0.488
Absent 24 (80) 26 (86.7) 50 (83.3)
Indoor pollution Present 13 (43.3) 6 (20) 19 (31.7) 0.052
Absent 17 (56.7) 24 (80) 41 (68.3)
Exposure to pets Present 10 (33.3) 6 (20) 16 (26.7) 0.243
Absent 20 (66.7) 24 (80) 44 (73.3)
Overcrowding Present 19 (63.3) 9 (30) 28 (46.7) 0.01
Absent 11 (36.7) 21 (70) 32 (53.3)
Anthropometry MAM/SAM 14 (46.7) 5 (16.7) 19 (31.7) 0.012
Normal 16 (53.3) 25 (83.3) 41 (68.3)
Anaemia Mod/Severe 11 (36.7) 1 (3.3) 12 (20) 0.004
Mild 9 (30) 10 (33.3) 19 (31.7)
Absent 10 (33.3) 19 (63.3) 29 (48.3)

DM: Diabetes mellitus, HTN: Hypertension, LSCS: Lower segment caesarean section, NICU: Neonatal intensive care unit, SES: Socio-economic status, MAM: Moderate acute malnutrition, SAM: Severe acute malnutrition

Table 2: Multiple logistic regression analysis for risk factors for under-5 wheezer.
Risk factors P-value Unadjusted OR Adjusted odds ratio 95% CI for Adj OR
Lower Upper
Lower SES 0.005 10 8.898 1.917 41.295
Overcrowding 0.219 4.03 2.427 0.59 9.978
MAM/SAM 0.061 4.38 4.295 0.933 19.764
Mild anaemia 0.548 1.71 1.581 0.355 7.045
Mod/Severe anaemia 0.016 20.9 20.816 1.768 245.055

OR: Odds ratios, CI: Confidence intervals, SES: Socio-economic status, MAM: Moderate acute malnutrition, SAM: Severe acute malnutrition

DISCUSSION

The findings from this study emphasise the significance of socio-economic and nutritional factors in the aetiology of wheezing among children under 5. Low SES emerged as a strong predictor, underscoring the role of poverty-related exposures such as overcrowding, poor ventilation and increased risk of respiratory infections.[12] Similar associations between low SES and respiratory morbidity have been documented in both high-income and low-middle-income countries.[13]

Children from lower SES backgrounds often faced challenges such as poor indoor air quality, crowding and limited access to healthcare, all contributing to higher wheezing prevalence.[14] In addition, malnutrition and anaemia are prevalent among low SES populations and can impair immune function, increasing vulnerability to respiratory infections.[15]

Anaemia, a common condition in this demographic, further compounded the risk. Iron deficiency can weaken immune responses, making children more susceptible to respiratory infections that could exacerbate wheezing. Poor nutritional status in low SES households can contribute indirectly to recurrent wheezing by weakening the body’s defences against infections.[16] Preventive measures, including nutritional support and addressing household-level environmental risks, could be beneficial in this population.

Overcrowding

Overcrowding was observed in many low-SES households and was linked to higher exposure to respiratory infections. The increased risk was evident in both univariate and multivariable analyses, though its significance was reduced after adjustment for SES and anaemia.[3]

Family history of asthma and atopy did not show a statistically significant association, though it was noted among a subset of cases, aligning with prior research suggesting genetic predisposition plays a moderate role.[16]

Other factors

Non-significant factors included preterm birth, low birth weight, maternal allergy, atopy, maternal diabetes/hypertension, immunisation status, exposure to pets, indoor pollution and bottle-feeding. These findings suggest that social and nutritional factors may play a more prominent role than certain genetic or birth-related factors in this population.[10]

While non-environmental factors such as genetic predisposition did not show significant associations in our study, the literature suggests that genetic influences may interact with environmental triggers, particularly in high-risk children.[17]

This study also reinforces findings from international studies on the impact of indoor pollution and crowding on respiratory health. High relative indoor humidity and mould exposure are known to exacerbate respiratory conditions, and interventions that improve ventilation could be explored as low-cost solutions to reduce respiratory morbidity in low-income households.[11,16]

Strengths and limitations

Strengths

This study offers a comprehensive view of modifiable risk factors for wheezing in a low-resource setting. The retrospective design allowed for the analysis of a significant dataset within a limited timeframe.

Limitations

The retrospective nature of the study may limit the accuracy of data, as it relies on historical records, which may contain inconsistencies. Hence, even mold exposure and its role as a risk factor could not be assessed. In addition, being conducted in a single tertiary centre, the findings may not be fully generalisable to all regions of India. Future research should incorporate prospective designs and consider environmental measurements, such as indoor air quality, to improve data accuracy.

CONCLUSION

In conclusion, this study identifies low SES and anaemia as significant risk factors for recurrent wheezing in children under 5. The findings highlight the importance of addressing social determinants of health, including poverty and nutritional deficiencies, in mitigating respiratory issues in young children.

Ethical approval:

The research/study approved by the Institutional Review Board at Karnataka Medical College and Research Institute, number 103, dated 12th December 2024.

Declaration of patient consent:

The authors certify that they have obtained all appropriate patient consent.

Conflicts of interest:

There are no conflicts of interest.

Use of artificial intelligence (AI)-assisted technology for manuscript preparation:

The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.

Financial support and sponsorship: Nil.

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