Literature DB >> 32848425

Birth Month and Prevalence of Atopic Dermatitis in Children Under 3 Years in Antananarivo, Madagascar.

Fandresena Arilala Sendrasoa1, Volatantely Tobiniaina Ratovonjanahary1, Naina Harinjara Razanakoto1, Mendrika Fifaliana Rakotoarisaona1, Onivola Raharolahy1, Malalaniaina Andrianarison1, Irina Mamisoa Ranaivo1, Viviane Estelle Mbotinirina1, Moril Sata1, Lala Soavina Ramarozatovo1, Fahafahantsoa Rapelanoro Rabenja1.   

Abstract

BACKGROUND: Several studies have been done to evaluate the relationship between month of birth and atopic diseases but the results are contradictory.
OBJECTIVE: We aim to evaluate the correlation between the month of birth and the prevalence of AD in Malagasy children less than 3 years.
METHODS: A case-control study was conducted based on patients' data of the department of Dermatology in the University Hospital Joseph Raseta Befelatanana (UH/JRB) Antananarivo. It included 438 children less than 3 years seen in this department between January 2010 and December 2019. For each atopic dermatitis (AD) patient, two age-and sex-matched controls without a history of AD were selected from the same period.
RESULTS: This study included 146 AD cases and 292 non-AD controls. Our case-control study found that there is a statistically significant correlation between birth month and risk of AD in Malagasy children <3 years. Compared with people born in December, people born in April had the highest risk of AD (OR: 2.11, 95% CI 0.93-4.78), followed by people born in March (OR: 1.52, 95% CI 0.79-2,88). Asthma, allergic rhinitis and allergic conjunctivitis were significantly correlated with AD in our patients.
CONCLUSION: Our case-control study found that being born in April and March (dry season) may be associated with an increased risk of AD.
© 2020 Sendrasoa et al.

Entities:  

Keywords:  Madagascar; atopic dermatitis; birth month; children

Year:  2020        PMID: 32848425      PMCID: PMC7431166          DOI: 10.2147/JAA.S264482

Source DB:  PubMed          Journal:  J Asthma Allergy        ISSN: 1178-6965


Background

Atopic dermatitis (AD) is a chronic or recurrent inflammatory skin disease characterized by xerotic and pruritic skin. The etiology of AD is multifactorial with interaction between genetics, immune and environmental factors.1 As in industrialized countries, the incidence of AD in patients < 15 years increased from 1.02% in 1999 to 5.6% in 2019 in Madagascar.2,3 Some studies conducted in white populations showed an association between birth season and AD.4–6 A previous cross-sectional study in Antananarivo Madagascar reported that children born in the dry season had the highest risk of AD.7 In order to affirm this result, we aimed to evaluate the correlation between the month of birth and the prevalence of AD in Malagasy children less than 3 years old by using an appropriate study design.

Methods

A case-control study was conducted based on patients’ data at the department of dermatology in the University Hospital Joseph Raseta Befelatanana (UH/JRB) Antananarivo which is the hospital reference center in the capital of Madagascar. We included children less than 3 years old seen in the department of dermatology in the UH/JRB Antananarivo between January 2010 and December 2019. We included 438 children aged 3 years and younger. AD was diagnosed by a dermatologist according to the criteria of United Kingdom Working Party modified. For each AD patient, two age-and sex-matched controls without a history of AD were selected from the same period. This study was approved by the Ethics Committee of the University Hospital Joseph Raseta Befelatanana Antananarivo Madagascar, and it was conducted in accordance with the Declaration of Helsinki. Study participants and their parents were informed about the study procedures and written informed consent was obtained.

Statistical Analysis

Statistical analysis was conducted using STATA software version 12. All data were analyzed using a Chi-squared (X2) test for differences in the prevalence of related AD. Odds ratios (ORs) and 95% confidence intervals (CIs) were computed with the logistic regression analysis after taking the confounding variables into account. Significance was set at p<0.05.

Results

A total of 438 children ≤ 3 years were included: 146 AD cases and 292 non-AD controls. The baseline characteristics of the children included is shown in Table 1.
Table 1

The Characteristics of Children with AD and Without AD (Controls)

AND (%)Controls N (%)
Gender
 Female74 (506)148 (507)
 Male72 (49.3)144 (49.3)
Age (months)
 0–1294 (64.3%)187 (64.04%)
 13–2442 (28.76%)84 (28.76%)
 25–3610 (6.84%)21 (7.19%)
Geographic origin
 Rural73 (50%)144 (49.3%)
 Urban73 (50%)148 (50.6%)
The Characteristics of Children with AD and Without AD (Controls) The two groups were matched by gender and age. A significant association was found between the prevalence of AD and the month of birth. The fewest children with AD were born in December (4.1%, OR: 0.41, CI 95%: 0.13–1.02), and the most were born in April (10.27%, OR: 2.11; CI 95%: 0.93–4.78) and March (14.38%, OR: 1.52; CI 95%: 0.79–2,88). The correlation between month of birth and incidence of AD is shown in Table 2.
Table 2

Correlation Between Month of Birth and Incidence of AD

AD Cases (N=146) n (%)Non-AD Controls (N=292) n (%)ORCI (95%)P
January12 (8.21)27 (9.24)0,970.49–1.960.35
February15 (10.27)28 (9.58)1.170.51–2.140.29
March21 (14.38)29 (9.93)1.520.79–2.880.04
April15 (10.27)15 (5.13)2.110.93–4.780.03
May14 (9.58)21 (7.19)1.360.62–2.920.14
June12 (8.21)23 (7.87)1.040,46–2,270,92
July9 (6.16)21 (7.11)0.840.33–1.990.84
August10 (6.84)20 (6.84)10.4–2.311
September12 (8.21)27 (9.24)0.850.39–1.860.72
October12 (8.21)33 (11.3)0.760.31–1.450.39
November8 (5.47)20 (6.84)0.680.21–1.720.48
December6 (4.1)28 (9.58)0.410.13–1.020.05
Correlation Between Month of Birth and Incidence of AD Compared with children without AD, those with AD had a higher proportion of asthma (14,4% vs 2.12%; OR 7.27, 95% CI: 2.47–25,72; p 0.000006), allergic rhinitis (8.9% vs 2.1%; OR:3.54, CI 95%: 1.13–12,15; p 0.01). Family atopy was not associated with the AD risk. The correlation between other medical conditions and AD is shown in Table 3.
Table 3

Coexisting Medical Conditions in Children with and without AD

AD CasesNon-AD ControlsX2pORsCI (95%)
Allergic rhinitis
 No122 (835%)276 (945%)8.380.00322.901.65–7.04
 Yes24 (16.4%)16 (5.4%)
Allergicconjunctivitis
 No133 (91.09%)286 (97.94%)5.960.013.541.13–12.15
 Yes13 (8.9%)6 (2.1%)
Asthma
 No124 (85.60%)287 (97.88%)19.110.0000067.272.47–25.72
 Yes22 (14.40%)5 (2.12%)
Vitiligo
 No146 (100%)277 (94.86%)0.0020
 Yes0 (0%)15 (5.14%)−0.00
Urticaria
 No144 (98.63%)290 (99.31%)0.4020170.14–28.09
 Yes2 (1.70%)2 (0.85%)0.48
Family atopy
 No89 (60.9%)269 (92.12%)1.867.484.23–13.45
 Yes57 (39.04%)23 (7.87%)36.22
Other medical past history
 No144 (98.6%)269 (92.12%)0.0040.160018–0.67
 Yes2 (1.36%)23 (7.87%)9.65
Coexisting Medical Conditions in Children with and without AD

Discussion

Our case-control study found that there is a statistically significant correlation between birth month and risk of AD. Compared with children born in December (rainy season), those born in April and March (dry season) had the highest risk of AD. In Madagascar, the month with the highest relative humidity is December (81.5%), the average rainfall is 278.9 mm. The average humidity in April and March is 74.5% with an average rainfall at 10.4 mm. Several studies have been done to clarify a relationship between month of birth and atopic diseases but the results are contradictory. Our result was consistent with other studies which found that manifestation of atopy is related to the patient’s month of birth. A population-based study in Taiwan found that patients born in December, October and November (dry season) have a higher risk of developing AD; this study hypothesized that the skin condition is affected by the climate in early infancy.4 A Japanese study reported also that children born in autumn (October, November and December) had a higher risk of developing AD compared to those born in spring (April, May and June).5 One study in Armenian pediatric patients in 2018 showed that being born in winter was associated with a lower risk of developing severe AD when compared to spring. It may be explained by the exposure to grass pollen which is the most significant allergen in Armenia.6 In our study, children born in the dry season had a higher risk of AD. So the lack of humidity during the dry season may affect the skin condition. However, other studies in Germany8 and in Denmark9 found that manifestation of atopy is not related to the patient’s month of birth. Several arguments may explain the variability of these results. Our study showed that allergic rhinitis, allergic conjunctivitis, urticaria and asthma were coexisting diseases associated with the AD risk. Our findings were consistent with previous investigations suggesting that asthma,10–12 allergic rhinitis13,14 and allergic conjunctivitis15 were correlated with AD. This association may be explained by the “atopic march“ which refers to the natural history of allergic diseases as they develop over the course of infancy and childhood. It describes the progression of atopic disorders from AD in infants to asthma and allergic rhinitis in children.16 Our study had limitations; it was a retrospective study so it was a study of association but not direct causation. Prospective studies are still needed to validate the causal relationship between birth month and AD.

Conclusion

Our case-control study found that being born in April or March (dry season) may be associated with an increased risk of AD. Our study shows also that AD was associated with asthma, allergic rhinitis, allergic conjunctivitis, and urticaria.
  14 in total

1.  Analysis of various risk factors predisposing subjects to allergic rhinitis.

Authors:  Soo-Youn An; Hyo Geun Choi; Si Whan Kim; Bumjung Park; Joong Seob Lee; Jeong Hun Jang; Myung-Whun Sung
Journal:  Asian Pac J Allergy Immunol       Date:  2015-06       Impact factor: 2.310

Review 2.  Atopic dermatitis and keratoconjunctivitis.

Authors:  Brett Bielory; Leonard Bielory
Journal:  Immunol Allergy Clin North Am       Date:  2010-08       Impact factor: 3.479

3.  Prevalence of atopic dermatitis, allergic rhinitis and asthma in Taiwan: a national study 2000 to 2007.

Authors:  Chian-Yaw Hwang; Yi-Ju Chen; Ming-Wei Lin; Tzeng-Ji Chen; Szu-Ying Chu; Chih-Chiang Chen; Ding-Dar Lee; Yun-Ting Chang; Wen-Jen Wang; Han-Nan Liu
Journal:  Acta Derm Venereol       Date:  2010-11       Impact factor: 4.437

Review 4.  Environmental risk factors and their role in the management of atopic dermatitis.

Authors:  Robert Kantor; Jonathan I Silverberg
Journal:  Expert Rev Clin Immunol       Date:  2016-07-28       Impact factor: 4.473

5.  Month of birth and prevalence of atopic dermatitis in schoolchildren: dry skin in early infancy as a possible etiologic factor.

Authors:  T Kusunoki; K Asai; M Harazaki; S Korematsu; S Hosoi
Journal:  J Allergy Clin Immunol       Date:  1999-06       Impact factor: 10.793

6.  Risk factors for atopic dermatitis in New Zealand children at 3.5 years of age.

Authors:  D J Purvis; J M D Thompson; P M Clark; E Robinson; P N Black; C J Wild; E A Mitchell
Journal:  Br J Dermatol       Date:  2005-04       Impact factor: 9.302

Review 7.  Atopic dermatitis and the atopic march.

Authors:  Jonathan M Spergel; Amy S Paller
Journal:  J Allergy Clin Immunol       Date:  2003-12       Impact factor: 10.793

8.  Atopic disease and month of birth.

Authors:  J M Smith; V H Springett
Journal:  Clin Allergy       Date:  1979-03

9.  Birth month and risk of atopic dermatitis: a nationwide population-based study.

Authors:  C L Kuo; T L Chen; C C Liao; C C Yeh; C L Chou; W R Lee; J G Lin; C C Shih
Journal:  Allergy       Date:  2016-06-30       Impact factor: 13.146

10.  Epidemiology and associated factors of atopic dermatitis in Malagasy children.

Authors:  F A Sendrasoa; I M Ranaivo; N H Razanakoto; M Andrianarison; O Raharolahy; V T Ratovonjanahary; M Sata; M F Rakotoarisaona; L S Ramarozatovo; F Rapelanoro Rabenja
Journal:  Allergy Asthma Clin Immunol       Date:  2020-01-06       Impact factor: 3.406

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