An educational intervention to improve knowledge about prevention against occupational asthma and allergies using targeted maximum likelihood estimation

Rodríguez-Molina, Daloha; Barth, Swaantje; Herrera, Ronald; Rossmann, Constanze; Radon, Katja; Karnowski, Veronika

doi:10.1007/s00420-018-1397-1

Cited by 4 publications

(2 citation statements)

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“…10%) in FeNO at follow-up, particularly in bakers with work-related ocular-nasal symptoms at baseline (OR ¼ 3.73, CI: 1.22-11.42). Finally, an educational intervention designed to improve the knowledge of preventive measures for allergy and asthma was evaluated in Bavarian farm apprentices [57]. The effect of a short educational video was evaluated 6 months later and reported to improve the knowledge about preventive measures in 20% of apprentices.…”

Section: Workplace Control Measures To Reduce Exposuresmentioning

confidence: 99%

Occupational inhalant allergy in food handling occupations

Jeebhay

Baatjies

2021

Current Opinion in Allergy &Amp; Clinical Immunology

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Purpose of reviewReview article on recent developments on inhalant food allergens associated with occupational respiratory allergy and asthma. Recent findingsThis review has found that occupational inhalant allergy in food handling occupations is a common and recognisable clinical entity (class 3 food allergy) in high-risk food occupations such as bakeries and seafood processing. Aerosolised food proteins from plant or animal food sources, additives and biological food contaminants cause occupational sensitization, rhinitis and asthma. The risk of allergy may be enhanced across the food value chain as a result of food processing techniques including the introduction of new food allergens in the food matrix. Occupational food allergy and asthma can be prevented by improved health-based exposure standards, workplace control measures, education and training activities, and early diagnosis accompanied with exposure reduction. SummaryFuture studies need to focus on exposure-response studies to establish improved exposure limits especially for flour dust, the relevance of cooked vs raw foods in influencing risk, identifying and characterising major inhalant food allergens accompanied with component resolved diagnostic approaches, and evaluating the effectiveness of interventions for common high-risk food sensitizers causing occupational rhinitis and asthma.

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Section: Workplace Control Measures To Reduce Exposuresmentioning

confidence: 99%

Occupational inhalant allergy in food handling occupations

Jeebhay

Baatjies

2021

Current Opinion in Allergy &Amp; Clinical Immunology

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“…Despite extensive studies of the performance of the methods for confounding control, the robustness of these methods to uncontrolled confounders has received almost no attention. Much recently, targeted maximum likelihood estimation (TMLE) -a doubly-robust semiparametric method, has gained the attention of applied researchers [12][13][14][15]. TMLE estimates exposure effects or associations without relying on model specification.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Unmeasured Confounding in Observational Studies: a Plasmode Simulation Study of Targeted Maximum Likelihood Estimation

Amusa

Zewotir

North

2021

Preprint

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Unmeasured confounding can cause considerable problems in observational studies and may threaten the validity of the estimates of causal treatment effects. There has been discussion on the amount of bias in treatment effect estimates that can occur due to unmeasured confounding. We investigate the robustness of a relatively new causal inference technique, targeted maximum likelihood estimation (TMLE), in terms of its robustness to the impact of unmeasured confounders. We benchmark TMLE’s performance with the inverse probability of treatment weighting (IPW) method. We utilize a plasmode-like simulation based on variables and parameters from the Study to Understand Prognoses and Preferences for Outcomes and Risks of Treatments (SUPPORT). We evaluated the accuracy and precision of the estimated treatment effects. Though TMLE performed better in most of the scenarios considered, our simulation study results suggest that both methods performed reasonably well in estimating the marginal odds ratio, in the presence of unmeasured confounding. Nonetheless, the only remedy to unobserved confounding is controlling for as many as available covariates in an observational study, because not even TMLE can provide safeguard against bias from unmeasured confounders.

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