PubMed · 14093594
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E BAUMGARTNER. 1963-10-12. [DECREASE OF ABSENTEEISM BY THE REDUCTION COLDS].. https://pubmed.ncbi.nlm.nih.gov/14093594/
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A three-level model is proposed to simultaneously examine the effects of daily exposure to air pollution and individual risk factors on health outcomes without aggregating over subjects or time. We used a logistic transition model with random effects to take into account heterogeneity and overdispersion of the observations. A distributed lag structure for pollution has been included, assuming that the event on day t for a subject depends on the levels of air pollution for several preceding days. We illustrate this proposed model via detailed analysis of the effect of air pollution on school absenteeism based on data from the Southern California Children's Health Study.
Since 1980, asthma prevalence, hospitalization, and mortality have been increasing in the United States. Because of concern about asthma-related morbidity among children in Central Harlem, New York City (NYC), the Harlem Children's Zone Asthma Initiative (HCZAI) was established in 2001 to reduce asthma-related morbidity through improved surveillance, health-care use, and health-care service delivery for children aged < or =12 years living in a 60-block radius of Central Harlem known as the Harlem Children's Zone Project. Families of children with asthma or asthma-like signs or physical findings consistent with asthma are invited to participate in the program. This report summarizes preliminary data collected during 2001-2004 on the effectiveness of the program in reducing asthma-related morbidity; data indicate decreased parental/guardian reports of school absences among children enrolled in the program, both for any reason and because of asthma. In addition, emergency department and unscheduled physician office visits for treatment of asthma decreased from 35% to 8% after 18 months of the program, indicating improved asthma management and appropriate use of health-care services by program enrollees. The effectiveness of HCZAI underscores the utility of community-based public health programs in reducing asthma morbidity.
The effects of six biometeorological variables (temperature, precipitation, air pressure, humidity, wind speed, and snow) on plant-wide worker absenteeism rates were investigated using 4 years of daily absence data (n=889). After holding constant temporal variables (years, season, and day of week), and then other biometeorological variables, all but one of the variables under consideration were uniquely and significantly related to absenteeism: temperature (r(partial)=-0.17***), precipitation (r(partial)=0.12***), air pressure (r(partial)=-0.09**), wind speed (r(partial)=0.11*), and snow (r(partial)=0.30***). Humidity (r(partial)=-00, ns) was not uniquely correlated. The adjusted R(2) of .29 (full R=0.55) for the entire model was also significant, illustrating the importance of these exogenous, meteorological variables in developing a prediction model of plant-wide absenteeism.