Household use of green and homemade cleaning products, wipe application mode, and asthma among French adults from the CONSTANCES cohort.
Emilie Pacheco Da SilvaGuillaume SitMarcel GoldbergBénédicte LeynaertRachel NadifCéline RibetNicolas RocheMarie ZinsRaphaëlle VarrasoOrianne DumasNicole Le MoualPublished in: Indoor air (2022)
While exposure to irritant and sprayed cleaning products at home is known to have a harmful role in asthma, the potential health effect of other categories or forms has not been investigated. We studied the associations of household use of cleaning products, including green, homemade products, and disinfecting wipes, with asthma based on data from the large French population-based CONSTANCES cohort. Participants completed standardized questionnaires on respiratory health and household use of cleaning products. Cross-sectional associations of cleaning products with current asthma, adjusted for gender, age, smoking status, BMI, and educational level, were evaluated by logistic regressions. Analyses were conducted in 41 570 participants (mean age: 47 years, 56% women, weekly use of the six specific products/forms studied varied from 11% to 37%). Weekly use of irritants (OR = 1.23 [1.13-1.35]), scented (OR = 1.15 [1.06-1.26]), green (OR = 1.09 [1.00-1.20]), and homemade products (OR = 1.19 [1.06-1.34]), as well as sprays (OR = 1.18 [1.08-1.29]), disinfecting wipes (OR = 1.21 [1.09-1.34]) were significantly associated with asthma, with significant trends according to the frequency of use. When they were not co-used with irritants/sprays, associations were reduced and persisted only for disinfecting wipes. Weekly use of disinfecting wipes at home was associated with current asthma, but fewer risks were observed for the use of green and homemade products.
Keyphrases
- chronic obstructive pulmonary disease
- lung function
- public health
- allergic rhinitis
- cross sectional
- healthcare
- mental health
- type diabetes
- adipose tissue
- health information
- metabolic syndrome
- human health
- cystic fibrosis
- polycystic ovary syndrome
- machine learning
- social media
- deep learning
- pregnancy outcomes
- big data
- weight loss
- health promotion