Dataset Information

Prevalence and psychosocial impact of atopic dermatitis in Bangladeshi children and families.

ABSTRACT:

Background

Skin conditions are the fourth leading cause of nonfatal disease globally, with atopic dermatitis (AD) a major and rising contributor. Though atopic dermatitis (AD) is rising in prevalence, little is known about its psychosocial effects on children and families in low- and middle-income countries (LMICs).

Methods

We conducted a community-based, cross-sectional survey of 2242 under-5 children in rural Bangladesh using the International Study of Asthma and Allergies in Childhood (ISAAC) questionnaire to measure AD prevalence and severity, the Patient-Oriented Eczema Measure (POEM) to measure severity, and the Infants' Dermatitis Quality of Life index (IDQoL) and Dermatitis Family Index (DFI) to measure quality of life.

Findings

Overall AD prevalence in under-five children was 11.9% [95% confidence interval (CI) 10.6-13.3%]. Prevalence was highest in children age 30-35 months [16.2% (95% CI 11.4-21.0)]. IDQoL was significantly higher in males (2.67) vs. females (1.95, p = 0.015), the lowest (3.06) vs. highest (1.63) wealth quintile (p<0.001), and among mothers with < primary (2.41) vs. > secondary (1.43) education (p = 0.039). POEM severity was correlated with IDQoL (r = 0.77, p<0.001) and DFI (r = 0.56, p<0.001). Severe disease as rated by caretakers was correlated with POEM (r = 0.73, p<0.001), IDQoL (r = 0.82, p<0.001) and DFI (r = 0.57, p<0.001).

Conclusions

Severe AD significantly affects quality of life for children and families in Bangladesh. As access to healthcare expands in LMICs, identification and treatment of both the medical and psychosocial morbidities associated with the disease are needed.

SUBMITTER: Pedersen CJ

PROVIDER: S-EPMC8051797 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundThere is no objective test that can unequivocally confirm the diagnosis of atopic dermatitis (AD), and no uniform clinical definition.ObjectivesTo investigate to what extent operational definitions of AD cause fluctuation in the prevalence estimates and the associated risk factors.MethodsWe first reviewed the operational definitions of AD used in the literature. We then tested the impact of the choice of the most common definitions of 'cases' and 'controls' on AD prevalence estimates and associated risk factors (including filaggrin mutations) among children aged 5 years in two population-based birth cohorts: the Manchester Asthma and Allergy Study (MAAS) and Asthma in Ashford. Model performance was measured by the percentage of children within an area of clinical indecision (defined as having a posterior probability of AD between 25% and 60%).ResultsWe identified 59 different definitions of AD across 45 reviewed studies. Of those, we chose four common 'case' definitions and two definitions of 'controls'. The prevalence estimates using different case definitions ranged between 22% and 33% in MAAS, and between 12% and 22% in Ashford. The area of clinical indecision ranged from 32% to 44% in MAAS and from 9% to 29% in Ashford. Depending on the case definition used, the associations with filaggrin mutations varied, with odds ratios (95% confidence intervals) ranging from 1·8 (1·1-2·9) to 2·2 (1·3-3·7) in MAAS and 1·7 (0·8-3·7) to 2·3 (1·2-4·5) in Ashford. Associations with filaggrin mutations also differed when using the same 'case' definition but different definitions of 'controls'.ConclusionsUse of different definitions of AD results in substantial differences in prevalence estimates, the performance of prediction models and association with risk factors. What's already known about this topic? There is no objective test that can unequivocally confirm the diagnosis of atopic dermatitis (AD) and no uniform clinical definition. This results in different definitions utilized in AD studies, raising concerns on the generalizability of the results and comparability across different studies. What does this study add? This study has shown that different definitions of 'cases' and 'controls' have major impacts upon prevalence estimates and associations with risk factors, including genetics, in two population-based birth cohorts. These findings suggest the importance of developing a consensus on AD definitions of both 'controls' and 'cases' to minimize biases in studies.

Project description:BackgroundAtopic dermatitis (AD) causes sleep disturbance but the epidemiology is not known.ObjectiveTo estimate the US prevalence of sleep disturbance and its impact on psychological and neurocognitive function.MethodsWe conducted a cross-sectional survey of 180 parent-child dyads with AD using stratified sampling based on disease severity (Patient Oriented Eczema Measure: mild [n = 30), moderate (n = 75) or severe (n = 75]), age, and race (White or Black or African American or other). Symptoms of sleep and psychologic health were assessed using the Patient-Reported Outcome Measurement Information System. To estimate the prevalence of sleep disturbance, we calculated weights using poststratification adjustment making marginal frequencies of AD severity, race, and age similar to marginal frequencies in the 2007 National Survey of Children's Health. Unweighted regression models examined associations with sleep disturbance.ResultsIn children age 5 to 17 years with AD, we estimated that sleep disturbance occurred in 66.9% (95% confidence interval, 53.3% to 80.5%; 3,116,305 children). The odds of severe sleep disturbance (worse than 95% of US children) were highest in moderate to severe versus mild AD (2.03 [1.00-4.10]; P = .0495; compared with 8.68 [1.82-41.49]; P = .0068). Predictors of parent proxy-reported sleep disturbance were itch intensity (adjusted β [95% confidence interval] 1.33 [0.62-2.04]) and low income (<$50,000: 6.64 [2.05-11.23]; and $50,000 to less than 100,000: 4.75 [0.35-9.14]). Controlling for disease severity, itch intensity, and significant sociodemographics-parent-proxy, reported sleep disturbance was associated with increased severity of sleep-related impairment, depression, fatigue, and anxiety, in addition to worse inattention and impulsivity. In fully adjusted models, children who self-reported sleep disturbance (T-score ≥60) had increased odds of sleep-related impairment (1.20 [1.11-1.29]), depression (1.13 [1.03, 1.24]), fatigue (1.28 [1.06-1.54]), and anxiety (1.16 [1.02-1.31]).ConclusionsSleep disturbance is a common symptom of AD. It affects about 3 million US children and is associated with neuropsychiatric impairment, including depression, anxiety, and inattention. Clinicians should screen for these symptoms in school-aged children, particularly those with moderate to severe AD.