FAMSSFlorida Association for Medical Staff Services
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Preliminary analyses were conducted to determine whether there were group differences on demographic variables (i.e., child age, gender, ethnicity, poverty status, controller medication use), and whether these participant characteristics were significantly related to the HOME Inventory total score or subscale scores, or the FAMSS total score.
Finally, regression analyses were conducted to examine whether the global home environment (i.e., HOME Inventory total score) predicted family asthma management (FAMSS total score).
There were no statistically significant differences by recruitment site for participant age, gender, poverty status, or key study outcome variables (HOME Inventory total score and FAMSS total score).
The Family Participation in Developmentally Stimulating Experiences subscale (r = .29, p = .001) and the Aspects of the Physical Environment subscale (r = .35, p < .001) were both significantly related to the FAMSS total score.
Finally, a series of four regression models were employed to examine whether the home environment (i.e., HOME total score) predicted family asthma management (i.e., FAMSS total score) among our sample of urban families.
Results based on the entire sample suggest that after controlling for poverty, lower quality and quantity of support and stimulation within the home environment (HOME Inventory total score) predicted less effective family asthma management (FAMSS total score).
Previous research suggests that the FAMSS total score is related to SES, but not related to racial/ethnic minority status (McQuaid et al., 2005).
Previous research has shown a strong link between the FAMSS and asthma morbidity in children (McQuaid et al., 2005).
Given numerous measures of variables were available (e.g., multiple paper and pencil indices of attention, eight FAMSS subscales), we chose first to determine whether or not associations existed among the most global measures.
We next examined whether ADHD symptoms were associated with family asthma management, as measured through the global index of the FAMSS interview.
We then evaluated associations among our global indices of ADHD (parental report, child WISC-III auditory attention, and child CPT visual attention) and specific features of family asthma management (i.e., FAMSS subscales).
We employed a series of regression models to test for mediation (Baron & Kenny, 1986), using the global variables of parent report of ADHD symptoms (CPRS-R:S ADHD symptoms index), the family response to symptoms score from the FAMSS interview, and the functional morbidity index.