Risk Factors of Childhood Asthma Among Patients Attending a Tertiary Care Centre in North-East India.

Introduction: Asthma is a chronic lung illness marked by a reversible airway blockage. Both genetic and environmental factors influence higher asthma rates. The present study aims to assess the various socio-demographic and environmental factors influencing the causation of childhood asthma among patients attending the Paediatric Department of Gauhati Medical College and Hospital (GMCH), Assam. Materials and
Methods: A total of 150 clinically diagnosed asthma patients of 3-12 years as cases and patients of the same age group free from respiratory diseases with no history of asthma in a 1:1 ratio as controls were selected. A predesigned and pretested proforma was used to collect data, and written informed consent was obtained from all the legal guardians of the participants. Data were analyzed by chi-square test and binary logistic regression using SPSS V20, considering a p-value <0.05 significant.
Results: Urban and male children were found to be at higher risk of developing asthma. Children belonging to the urban locality (OR= 4.53; 95% CI: 1.57-13.09; p<0.05), damp environment (OR= 5.21; 95% CI: 1.23-22.10; p<0.05), lower socioeconomic status (OR= 3.48; 95% CI: 1.34-9.01; p<0.05), presence of pets (OR= 6.77; 95% CI: 1.76-25.99; p<0.05), family history of atopy/ allergy (OR= 43.29; 95% CI: 5.80-323.15 p<0.05), smoking/passive smoking (OR=23.54; 95% CI: 1.41-394.21 p<0.05) and mixed feeding (OR= 4.47; 95% CI: 1.46-13.63 p<0.05) were the significant risk factors of childhood asthma.
Conclusion: Children are vulnerable to environmental-induced asthma. Awareness and preventive measures are necessary to control and reduce the burden of childhood asthma.

Introduction

Asthma is a chronic lung illness marked by reversible airway blockage caused by inflammation of the lungs’ airways and tightness of the muscles around them. The recent Global Initiative for Asthma (GINA) guidelines defined asthma as “a heterogeneous disease, usually characterized by chronic airway inflammation.” Respiratory symptoms such as wheezing, shortness of breath, chest tightness, and cough, as well as fluctuating expiratory airflow limitation, are the characterizations of asthma.1

In asthmatics, severe symptoms can develop due to several triggers like cigarette and other smoking, moulds, pollen, dust, animal dander, exercise, cold air, domestic and industrial goods, air pollution, and infections.2 Both genetic and environmental factors combine and interact to explain the higher asthma rates in some communities. Often, these other factors may cause a disparity, with race or ethnicity being the factor that is easier to detect between different populations.3

The diagnosis of asthma is a clinical one as there is no standardized definition of the type, severity or frequency of symptoms. Asthma is a common condition producing a significant workload for general medical practice and hospital admissions.4 Although there are many shared features in the diagnosis of asthma in children and adults, the differential diagnosis, the natural history of wheezing illnesses, the ability to perform specific investigations, and their diagnostic value are all influenced by age.

Worldwide more than 300 million people have asthma. Among children, it is one of the top 20 chronic conditions for the global ranking of disability-adjusted life years, with a mortality rate ranging from 0.0–0.7 per 100,000.5 In India, the prevalence of asthma was reported to be ranging from 2% to 23% which may be due to the enormous geographical and environmental variations across the country.6 In a recent study, it was found as 10.4% in Assam.7

Asthma in children causes recurrent respiratory symptoms of wheezing, cough, difficulty breathing and chest tightness and can lead to chronic asthma if not treated adequately. Childhood asthma may increase school absenteeism, decrease active participation in work and thus significantly impair the quality of life of the affected child.

Despite advanced understanding and therapeutic strategies, a dramatic increase in prevalence, morbidity and mortality of childhood asthma has been noted in recent years8,9 necessitating a further understanding of asthma pathogenesis for efficient asthma management. Although many research works are happening in different parts of India, minimal research has been conducted in this underdeveloped region of the north-eastern part of India.

The present study was conducted in the state of Assam, a northeast part of India. The population of Assam constitutes various racial stocks, of which 12.45% belong to the tribal communities like Bodo, Kachari, Karbi, Miri, Mishimi, Rabha, etc. The rural zones are scattered in most of the areas of this region. The state is well known for its biodiversity. Agriculture, primarily rice, tea and pulses, contributes to more than a third of Assam’s income and employs about 69% of the workforce. The state produces 50% of India’s tea production. The other profitable agribusinesses include Pig Farming, Dairy farming, and Fishery businesses involving the rural population. Agriculture, tea, oil and natural gas, coal, and limestone are the major industrial areas. The state’s vast ethnic and geographic variation is significantly attributed to the diverse disease dynamics and pathogenesis factors.

GMCH is a leading tertiary referral centre in this region, and the attending patients belong to the entire North-eastern regions of India, comprising both rural and urban populations. Most patients were from lower socioeconomic status and had low education levels. Childhood asthma is a commonly encountered problem in the paediatric department in the hospital.

The study aims to assess the various socio-demographic and environmental factors influencing the causation of childhood asthma among patients aged 3–12 years attending the paediatric department of GMCH.

Materials and Methods

The retrospective case-control study was conducted in the anatomy department, in collaboration with the department of paediatrics, GMCH, Assam, from April 2013 to March 2017 to investigate childhood asthma’s socio-demographic and environmental factors among paediatric patients aged 3–12 years.

An unmatched case-control study was conducted with 150 cases and 150 controls selected at a 1:1 ratio to study the various factors of childhood asthma. Clinically diagnosed asthma patients of 3–12 years attending outdoor and indoor department of paediatrics were selected as cases, while controls were patients of the same age group preferably residing in a similar environment free from respiratory diseases and having no history of asthma.

The sample size was determined using WinPepi version 11.65. Baseline survey data reveals that childhood asthma ranges from 1 to 4% in India. Therefore, assuming the proportion of childhood asthma as 1% and equal group sizes among cases and controls, the study would require a total sample size of 274 to achieve a power of 80% for detecting a two-way difference in proportions of 4% between the two groups with a 5% level of the significance.

Further assuming about 10% of non-respondent due to following up loss or noncompliance, it was reasonable to draw a sample of 300 constituting 150 cases and 150 controls.

A predesigned and pretested proforma was used to collect data. Written informed consent was obtained from all the legal guardians of the study participants. Data on different socio-demographic and environmental variables were collected. Housing types are defined as

Pucca housing if both walls and roof are made up of bricks, cement, and stones; Katcha housing is made up of wood, mud, straw and dry leaves and Semi pucca housing if the house is made with brick walls and thatched roof or a house with tinned roof mud walls and concrete floor. Socioeconomic status was accessed on a modified Kuppuswamy scale (2014).

Participants’ personal history on the mode of delivery, history of birth asphyxia, type of feeding, history of food allergy, history of mother’s addiction, family history of asthma, atopy or allergy and family history of smoking or passive smoking were also documented. Any family members residing in the same dwelling were considered about family smoking history. Disease severity was classified based on prescribed treatment step as per GINA guidelines for descriptions of participants in epidemiological studies and clinical trials, considering patients prescribed Step 2 treatments as having mild asthma, those prescribed Step 3–4 treatments as having moderate asthma and that prescribed step-5 treatment as having severe asthma.

Inclusion and exclusion criteria: The literature suggests paediatric cases should be included for up to 18 years. Still, in GMCH, most cases attending the Paediatric Department were up to 12 years of age. Furthermore, around puberty, a disease outgrows place for childhood asthma. So, the age group selected for the study was 3–12 years. Clinically diagnosed asthma patients in the age group of 3–12 years who consented to participate in the study during the study period were included as cases. Children of 3–12 years free from respiratory diseases, preferably residing in a similar environment, who gave consent to participate in the study were selected as controls.

Children of 0–3 years were excluded from the study, as a child presenting with wheeze in this age group is not chronic enough to diagnose it as asthma. Also, Children in the relevant age group and their guardians who failed to consent to participate in the study were excluded.

Statistical analysis: Differences in proportions were analyzed using the χ2 test. Binary logistic regression was used to the significant parameters of Univariate analysis, and Wald χ 2 test was used to measure the independent contribution of exposure.

Ethical approval: The ethical clearance was taken from the ethics committee of the institute, viz., Institutional Ethics Committee of GMCH, Guwahati, Assam and India, before collecting the data vide ref: No: 233/2018/215.

Results

Out of the total 112,323 patients attending the paediatric department during the study period, 18.88% were respiratory patients. Among the paediatric patients in the age group 3–12 years, 2.96% were asthmatic. Most childhood asthma cases were reported during the autumn months of September and October (Figure 1).

Figure 1

Month-wise distribution of patients (OPD+IPD).

Symptomatic Profile of the Selected Cases

The present case-control study recruited 150 childhood asthma cases and 150 controls. The mean (±standard deviation) age of the study participants was 8.38(±2.69) years. Cough and difficulty in breathing were the most common clinical symptom in the cases. The majority (77.3%) of cases had episodic asthma attacks, and only 8.7% of cases had severe asthma. The preponderance of the cases was reported during the autumn season (30%). Almost 38% of cases reported the occurrence of the symptoms at night-time (Table 1).

Table 1

Symptomatic Analysis of the Selected Asthma Cases (n=150)

Variables	Categories	Number	Percentage
Clinical symptoms	Cough	141	94.0
	Difficulty in breathing	123	82.0
	Wheeze	94	62.7
	Chest tightness	88	58.7
Frequency of attack	Episodic	116	77.3
	Persistent	34	22.7
Severity of disease	Mild	84	56.0
	Moderate	53	35.3
	Severe	13	8.7
Seasonality of asthma symptoms	Winter	29	19.3
	Spring	31	20.7
	Summer	11	7.3
	Autumn	45	30.0
	No seasonality	34	22.7
Time of occurrence of symptoms	Day time	27	18.0
	Night-time	58	38.7
	Throughout day and night	12	8.0
	Early morning	44	29.3

As per the respondents’ perceptions, cold drinks (82.7%), ice cream (71.6%), and exposure to dust (35%) were the common precipitating factors of asthma. Almost 19.3% of the cases reported school absenteeism due to the disease.

Socio-Demographic and Environmental Factors of Childhood Asthma

The participants’ mean age (standard deviation) was 8.34(2.69) years. Most cases belonged to the age group 7–12 years and were males. The study participants were primarily Hindu and non-tribal.

It is observed that children of 7–12 years and the male had higher odds of having the disease, although the association was not statistically significant. Also, childhood asthma was significantly associated with BMI (p-value<0.05). Overweight (OR= 2.22, 95% C.I.:1.17–4.18) and obese (OR=2.72, 95% C.I.:1.46–5.09) had more than two times higher odds of having the disease compared to children with normal weight. Urban children living in joint families, kaccha houses, and damp dwellings with inadequate ventilation had substantially higher odds of getting the disease. In attached kitchens, smoke-producing fuels other than LPG, mosquito repellents, Dhuna, etc., are also significantly associated with childhood asthma (p-value<0.05). It has also been observed that children who had pets in their houses had eight times higher risk of Asthma (Table 2).

Table 2

Socio-Demographic and Environmental Profiles of Cases and Controls

Variable	Categories	Control(n=150)	Case(n=150)	OR (95% CI)	p-value
Age	3–7 years (89)	52(58.4%)	37(41.6%)	1(ref)	0.06
	7–12 years (n=211)	98(46.4%)	113(53.6%)	1.62(0.98–2.67)
Sex	Male (n=174)	82 (47.1%)	92 (52.9%)	1(ref)	0.24
	Female (n=126)	68 (54.0%)	58 (46.0%)	0.76(0.48–1.20)
Religion	Hindu (n=209)	112(53.6%)	97(46.4%)	1(ref)	0.11
	Muslim (n=88)	36 (40.9%)	52 (59.1%)	1.67(1.01–2.76)
	Christian (n=3)	2 (66.7%)	1 (33.3%)	0.58(0.05–6.46)
Tribe	Non-tribal (n=282)	137(48.6%)	145 (51.4%)	1(ref)	0.05
	Tribal (n=18)	13(72.2%)	5(27.8%)	0.36(0.13–1.05)
BMI	Healthy (n=86)	54(62.8%)	32(37.2%)	1(ref)	<0.01
	Underweight (n=59)	33(55.9%)	26(44.1%)	1.33(0.68–2.61)
	Overweight (n=74)	32(43.2%)	42(56.8%)	2.22(1.17–4.18)
	Obese (n=81)	31(38.3%)	50(61.7%)	2.72(1.46–5.09)
Location of house	Rural (n=134)	90(67.2%)	44(32.8%)	1(ref)	<0.01
	Urban (n=143)	49(34.3%)	94(65.7%)	3.92(2.38–6.46)
Type of family	Nuclear (n=162)	94(58.0%)	68(42.0%)	1(ref)	<0.01
	Joint (n=123)	50(40.6%)	73(59.4%)	2.02(1.25–3.25)
Type of house	Pucca (n=118)	70(59.3%)	48(40.7%)	1(ref)	0.02
	Semi Pucca (n=61)	26(42.6%)	35(57.4%)	1.96(1.05–3.67)
	Katcha (n=95)	40(42.1%)	55(57.9%)	2.00(1.16–3.47)
Damp Dwelling	No (n=151)	86(56.9%)	65(43.1%)	1(ref)	0.02
	Yes (n=110)	47(42.7%)	63(57.3%)	1.77(1.08–2.91)
Ventilation	Adequate (n=137)	89(65.0%)	49(35.0%)	1(ref)	<0.01
	Inadequate (n=146)	52(35.6%)	94(64.4%)	3.35(2.06–5.46)
Overcrowding	Absent (n=139)	72(51.8%)	67(48.2%)	1(ref)	0.46
	Present (n=133)	63(47.4%)	70(52.6%)	1.19(0.74–1.92)
Kitchen	Separated (n=127)	75(59.0%)	52 (41.0%)	1(ref)	<0.01
	Attached (n=162)	69(42.6%)	93(57.4%)	1.94(1.21–3.11)
Cooking Fuel	Gas (n=199)	107(53.8%)	92(46.2%)	1(ref)	0.03
	Wood (n=55)	20(36.4%)	35(63.6%)	2.03(1.10–3.77)
	Kerosene (n=34)	13(38.2%)	21(61.8%)	1.88(0.89–3.96)
Dhuna/Agarbattis	No (n=65)	44(67.7%)	21(32.3%)	1(ref)	<0.01
	Yes (n=212)	92(43.4%)	120(56.6%)	2.73(1.52–4.91)
Mosquito repellent	No (n=143)	94(65.7%)	49(34.3%)	1(ref)	<0.01
	Yes (n=141)	52(36.9%)	89(63.1%)	3.28(2.02–5.34)
Pets	No (n=136)	104(76.5%)	32(23.5%)	1(ref)	<0.01
	Yes (n=164)	46(28.0%)	118(72.0%)	8.34(4.94–14.06)
Cockroaches	Nil (n=152)	91(59.9%)	61(40.1%)	1(ref)	0.001
	Plenty (n=119)	45(37.8%)	74(62.2%)	2.45(1.50–4.01)

As seen in Table 3, 46.7% of cases belonged to a lower socioeconomic family. Maternal education was also lower among the cases (p-value<0.05).

Table 3

Socioeconomic and Parental Educational Status Among Cases and Controls

Variable	Categories	Control(n=150)	Case(n=150)	p-value
Socio-economic status	Upper Middle (n=27)	26(17.3%)	1(0.7%)	<0.01
	Lower middle (n=66)	31(20.7%)	35(23.3%)
	Upper Lower (n=87)	43(28.7%)	44(29.3%)
	Lower (n=120)	50(n=33.3%)	70(46.7%)
Paternal education	Illiterate (n=152)	77(25.7%)	75(25.0%)	0.98
	Primary level (n=87)	42(14.0%)	45(15.0%)
	Up to HSLC (n=48)	24(8.0%)	24(8.0%)
	Higher (n=13)	7(2.3%)	6(2.0%)
Maternal education	Illiterate (n=152)	28(9.3%)	74(24.7%)	<0.01
	Primary level (n=87)	86(28.7%)	51(17.0%)
	Up to HSLC (n=48)	34(11.3%)	24(8.0%)
	Higher (n=13)	2(0.7%)	1(0.3%)

Birth and Feeding History and Its Relation to Childhood Asthma

Children born by Caesarean Section (CS) or another mode of delivery and children with a history of birth asphyxia had a higher risk of developing the disease. Furthermore, top-fed/mixed-fed children are at almost five times higher risk of the disease than breastfed children (Table 4).

Table 4

Birth and Feeding History Among Cases and Controls

Variable	Category	Control	Case	OR	p-value
Mode of delivery	Normal (n=180)	106(58.9%)	74(41.1%)	1(ref)	<0.01
	CS or Others (n=120)	44(36.7%)	76(63.3%)	2.47(1.54–3.98)
History of birth asphyxia	No (n=227)	129(56.8%)	98(43.2%)	1(ref)	<0.01
	Yes (n=73)	21(7.0%)	52(17.3%)	3.26(1.84–5.77)
Type of feeding	Exclusive breastfeeding (n=146)	101(69.2%)	45(30.8%)	1(ref)	<0.01
	Top/mixed feeding (n=154)	49(31.8%)	105(68.2%)	4.81(2.95–7.84)

Association of History of Allergy and Substance Use with Childhood Asthma

Children’s history of food allergy and atopy are significantly associated with childhood asthma. Also, children from families with a history of allergy and asthma (p-value<0.05) were highly prone to getting the disease. Passive smoking through other family members also increased almost eight times the risk of asthma among children (p-value<0.05). (Table 5)

Table 5

History of Allergy and Substance Use Among Cases and Controls

Variable	Categories	Control	Case	OR	p-value
History of food allergy in a child	No (n=192)	102(53.1%)	90(46.9%)	1(ref)	0.026
	Yes (n=90)	35(38.9%)	55(61.1%)	1.78(1.07–2.96)
History of allergy/ atopy in child	No (n=127)	89(70.1%)	38(29.9%)	1(ref)	<0.01
	Yes (n=142)	48(33.8%)	94(66.2%)	4.59(2.74–7.68)
Substance use among mothers	No (n=243)	120(49.4%)	123(50.6%)	1(ref)	0.66
	Yes (n=57)	30(52.6%)	27(47.4%)	0.88(0.49–1.56)
Family history of asthma	No (n=231)	133(57.6%)	98(42.4%)	1(ref)	<0.01
	Yes (n=69)	17(24.6%)	52(75.4%)	4.15(2.26–7.61)
Family history of allergy	No (n=243)	128(52.7%)	68(47.3%)	1(ref)	<0.01
	Yes (n=57)	22(38.6%)	82(61.4%)	7.02(4.03–12.22)
Family history of smoking	No (n=255)	144(56.5%)	111(43.5%)	1(ref)	<0.01
	Yes (n=45)	6(13.3%)	39(86.7%)	8.43(0.49–1.56)

The multivariate binary logistic regression revealed that children belonging to the urban locality, dampness in dwelling environment, lower socioeconomic status, presence of pets in the household, family history of atopy/allergy, family history of smoking/passive smoking and mixed feeding were the significant risk factors of childhood asthma (Table 6).

Table 6

Multivariate Logistic Regression Analysis to Assess the Significant Factors Affecting Childhood Asthma

Variables	Categories	Control (n=150)	Case (n=150)	Adjusted OR (95% CI)	p-value
Location of house	Rural (n=134)	90(67.2%)	44(32.8%)	1(ref)	<0.001
	Urban (n=143)	49(34.3%)	94(65.7%)	4.53 (1.57–13.09)
Dwelling environment (Dampness)	No (n=151)	86(56.9%)	65(43.1%)	1(ref)	<0.01
	Yes (n=110)	47(42.7%)	63(57.3%)	5.21(1.23–22.10)
Socioeconomic status	Upper Middle (n=27)	26(96.3%)	1(3.7%)	1(ref)	<0.05
	Lower middle (n=66)	31(47.0%)	35(53.0%)	3.21(0.51–20.17)
	Lower/Upper Lower (n=87)	43(49.4%)	44(50.6%)	6.71(1.11–40.43)
	Lower (n=120)	50(n=41.7%)	70(58.3%)	3.48(1.34–9.01)
Pets	No (n=136)	104(76.5%)	32(23.5%)	1(ref)	<0.05
	Yes (n=164)	46(28.0%)	118(72.0%)	6.77(1.76–25.99)
Family history of atopy/ allergy	No (n=243)	128(52.7%)	68(47.3%)	1(ref)	<0.05
	Yes (n=57)	22(38.6%)	82(61.4%)	43.29(5.80–323.15)
Family history of smoking	No (n=255)	144(56.5%)	111(43.5%)	1(ref)	<0.05
	Yes (n=45)	6(13.3%)	39(86.7%)	23.54(1.41–394.21)
Type of feeding	Exclusive breastfeeding (n=146)	101(69.2%)	45(30.8%)	1(ref)	<0.001
	Top/mixed feeding (n=154)	49(31.8%)	105(68.2%)	4.47(1.46–13.63)

Discussion

Over the past two to three decades, atopic disorders have been rising, prompting much discussion about the changing environment, pollution, and immune responses to infectious pathogens. Environmental exposures and underlying biological and genetic vulnerabilities all have a role in developing asthma.

In the present study, childhood asthma was reported in 2.96% of the patients in the 3–12 years age group. However, some previous studies have reported a varied range of childhood asthma in Indian children.6,10–12 The geographical and environmental disparity across India directly interacts with and interferes with the risk factors associated with the incidence of asthma.6 Therefore, region-specific assessment of the potential factors of childhood asthma is necessary for suitable and timely disease prevention.

Children in the age group 7–12 years, males and those from urban areas, were at higher risk of childhood asthma. Urban and male predominance in asthma prevalence was observed in an Indian study,10 similar to our findings. However, the association was only statistically significant in the case of the house’s location.

Studies suggest that sex-specific hormonal changes affect asthma, as boys are more likely to develop asthma in childhood. However, this pattern altered after puberty, with females getting the disease more often than males.13–15 Also, a male child under ten years has a smaller airway size than a female child of the same age and body stature is also considered a factor responsible for childhood asthma among male children.16,17

Kamrup metro, the capital of Assam, has shown rapid urbanization in recent years. Many studies have reported urbanization as a factor affecting asthma incidence agrees with our study.18,19 In the present study, unadjusted logistic regression revealed that overweight and obese children had significantly two times higher chances of having the disease than children with normal BMI, which agrees with a recent review.20 Also, the lower socioeconomic status was a potential risk factor for childhood asthma. Children from low socioeconomic families are at more risk of asthma due to lower immunologic responses and lower health care resources.21–23

Children living in a joint family, kaccha houses, damp dwellings, inadequate ventilation, attached kitchens, smoke-producing fuels, mosquito repellents and Dhuna, etc., were significantly associated with childhood asthma (p-value<0.05). Prior studies have also suggested that the various indoor house environment factors may trigger childhood asthma.24–27 The indoor allergen due to pets and its association with childhood asthma is debatable as few researchers also suggest that early exposure to allergens may help in achieving tolerance.28

Various studies have reported an increased risk of childhood asthma among children born by Caesarian Section delivery compared to those born by normal delivery. This agrees with our findings.29–32 Children with a history of birth asphyxia are also at higher risk of developing asthma. Maternal asthma was a significant factor in pregnancy complications like respiratory distress syndrome and newborns’ asphyxia.33

Similar to other studies, the present findings suggest that a history of food allergy or atopy in children or a family history of allergy and asthma increases the risk of childhood asthma substantially.34,35 In line with our study, an earlier multi-generational study suggested that generation-wise smoking habits may result in heritable alteration of the epigenome, increasing the risk of asthma among future generations.36

Rapid urbanization has been affecting all segments of society in recent days. People often prefer to settle in the city due to different income-generating and occupational sources and are thus exposed to various environmental pollutants. More awareness towards avoiding dampness, smoking, pets in the households of atopic/allergic persons, and avoidance of allergy/ atopy precipitating factors with a child having a family history of allergy/atopy are recommended for family members of the susceptible child. Exclusive breastfeeding awareness should be generated about the benefits of breastfeeding for the prevention of asthma.

Most of the patients coming to Gauhati Medical College belonged to the entire North-eastern region of India, as Gauhati Medical College is a premier tertiary referral centre in this region. Most patients belong to lower socioeconomic status and have low education levels. Childhood asthma is a commonly encountered problem in the Paediatric department in our hospital. Proper preventive strategies in these high-risk patients will help reduce disease and decrease the precipitation of acute attacks.

Despite all the available treatments for controlling asthma, numerous affected people remain insufficiently controlled, but identifying specific patient populations, both phenotypes and endotypes, may optimize their management. Hence, a region-wise study on childhood asthma’s prevalence and risk factors will be instrumental to competently managing these cases.

Limitation

Some patients did not return for further investigations and follow-up in the present study. It may be due to a lack of awareness about the disease’s aetiology and consequences. We were unable to trace all the patients because of poor communication systems.

Conclusion

Children are susceptible to environment-induced asthma, and proper awareness of the environmental triggers of asthma and allergens may help control and reduce the burden of the disease. In families with a history of allergy or asthma, proper care should ensure the susceptible child is free from the triggering factors.