To evaluate hospitalisation data for patients with a primary or secondary fibromyalgia (FM) diagn... more To evaluate hospitalisation data for patients with a primary or secondary fibromyalgia (FM) diagnosis. We estimated the number of men and women with an FM diagnostic code and compared them across a number of demographic and hospitalisation characteristics; examined age-specific, population-based FM hospitalisation rates; and determined the most common co-morbid diagnoses when FM was either the primary or secondary diagnostic code. Hospital discharge data from the Nationwide Inpatient Sample (NIS) were used. Records were evaluated between 1999 and 2007 that contained the International Classification of Diseases, 9th Revision, Clinical Modification FM diagnostic code (729.1, Myositis and Myalgia, unspecified), the FM criterion used in large-scale health services studies. There were 1,727,765 discharges with a 729.1 diagnostic code (FM) during this nine-year span, 213,034 men (12.3%) and 1,513,995 women (87.6%). Discharges coded for FM increased steadily each year. The population-based...
Binge drinking and poor mental health may affect adherence to treatment for individuals with asth... more Binge drinking and poor mental health may affect adherence to treatment for individuals with asthma. The purposes were to (a) examine the relationship of self-reported binge drinking and mental health to adherence to daily asthma control medications and (b) identify other demographic and health-related factors associated with asthma control medication adherence. Secondary analyses of 2003 adult California Health Interview Survey data were undertaken, and these analyses identified 3.2 million California adults who had been told by a physician they had asthma. Of these, approximately 1.7 million were symptomatic. Binge drinking significantly predicted medication nonadherence among California adults with symptomatic asthma (OR = .63, 95% CI = .45-.89), whereas poor mental health did not. Other predictors of nonadherence (odds ratios < 1, p < .05) included being overweight, younger age, having some college education, being a current smoker, and having no usual source of medical care. Predictors of adherence (odds ratios > 1, p < .05) were older age, more frequent asthma symptoms, more ER visits, more missed work days, being African American, and being a non-citizen. Intervention efforts could be directed toward improving medication adherence among adult asthma patients who engage in risky health behaviors such as binge drinking. Also at risk for medication nonadherence and therefore good targets for asthma control medication management interventions are adults who are overweight, younger (18-44 age range), have some college education, and no usual source of medical care.
To evaluate hospitalisation data for patients with a primary or secondary fibromyalgia (FM) diagn... more To evaluate hospitalisation data for patients with a primary or secondary fibromyalgia (FM) diagnosis. We estimated the number of men and women with an FM diagnostic code and compared them across a number of demographic and hospitalisation characteristics; examined age-specific, population-based FM hospitalisation rates; and determined the most common co-morbid diagnoses when FM was either the primary or secondary diagnostic code. Hospital discharge data from the Nationwide Inpatient Sample (NIS) were used. Records were evaluated between 1999 and 2007 that contained the International Classification of Diseases, 9th Revision, Clinical Modification FM diagnostic code (729.1, Myositis and Myalgia, unspecified), the FM criterion used in large-scale health services studies. There were 1,727,765 discharges with a 729.1 diagnostic code (FM) during this nine-year span, 213,034 men (12.3%) and 1,513,995 women (87.6%). Discharges coded for FM increased steadily each year. The population-based...
Binge drinking and poor mental health may affect adherence to treatment for individuals with asth... more Binge drinking and poor mental health may affect adherence to treatment for individuals with asthma. The purposes were to (a) examine the relationship of self-reported binge drinking and mental health to adherence to daily asthma control medications and (b) identify other demographic and health-related factors associated with asthma control medication adherence. Secondary analyses of 2003 adult California Health Interview Survey data were undertaken, and these analyses identified 3.2 million California adults who had been told by a physician they had asthma. Of these, approximately 1.7 million were symptomatic. Binge drinking significantly predicted medication nonadherence among California adults with symptomatic asthma (OR = .63, 95% CI = .45-.89), whereas poor mental health did not. Other predictors of nonadherence (odds ratios < 1, p < .05) included being overweight, younger age, having some college education, being a current smoker, and having no usual source of medical care. Predictors of adherence (odds ratios > 1, p < .05) were older age, more frequent asthma symptoms, more ER visits, more missed work days, being African American, and being a non-citizen. Intervention efforts could be directed toward improving medication adherence among adult asthma patients who engage in risky health behaviors such as binge drinking. Also at risk for medication nonadherence and therefore good targets for asthma control medication management interventions are adults who are overweight, younger (18-44 age range), have some college education, and no usual source of medical care.
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