Influenza vaccination and peoples' knowledge and attitudes towards it: Factors that influenced influenza vaccination during the 2004--2005 influenza vaccine shortage

Influenza and pneumonia together comprise the seventh leading cause of death among adults in the U.S and were responsible for 65,163 deaths in 2003 and an average of 36,000 deaths per year in the United States from 1990 to 1999. Vaccination is efficacious and cost-effective in terms of preventing the infection and reducing both health care costs and productivity losses associated with influenza illness. The vaccine shortage of 2004–2005 resulted in a 39% decrease in the influenza vaccine supplies. During the fall of 2004, we conducted a nationwide, random-digit dialing, telephonic-interview survey of 1,202 adults aged 18 years and older to ascertain influenza vaccine knowledge, attitude and behavior. Of the 1,202 total interviewed subjects, 44.7% had received or intended to receive vaccine at the time of the survey (2004–05) and 39.6% had received the influenza vaccine the previous year (2003–04). Receipt of vaccine increased with previous receipt of the influenza vaccine (OR 13.17, 95% CI 8.65–20.08), increased motivation status (OR 7.58, 95% CI 4.03–14.25), subjective risk status (OR 3.33, 95% CI 2.23–4.97), age (OR 1.83, 95% CI 1.22–2.75) and previous receipt of the pneumococcal vaccine (OR 1.75, 95% CI 1.02–3.0). The influenza vaccine shortage of 2004–05 did not have a negative impact on the vaccination rates of study population. In addition to the increased rates, a large majority of respondents were also aware of the shortage of influenza vaccine during the 2004–05 season, about the indications for receiving the influenza vaccine, about alternative methods to prevent contracting the influenza and increased motivation to receive the vaccine. ^

Association between length of stay in the U.S. and diabetes risk factors among Chinese Americans in Houston, Texas in 2004-2005

Studies have suggested that acculturation is related to diabetes prevalence and risk factors among immigrant groups in the United States (U.S.), however scant data are available to investigate this relationship among Asian Americans and Asian American subgroups. The objective of this cross-sectional study was to examine the association between length of stay in the U.S. and type 2 diabetes prevalence and its risk factors among Chinese Americans in Houston, Texas. Data were obtained from the 2004-2005 Asian-American Health Needs Assessment in Houston, Texas (N=409 Chinese Americans) for secondary analysis in this study. Diabetes prevalence and risk factors (overweight/obesity and access to medical care) were based on self-report. Descriptive statistics summarized demographic characteristics, diabetes prevalence, and reasons for not seeing a doctor. Logistic regression, using an incremental modeling approach, was used to measure the association between length of stay and diabetes prevalence and related risk factors, while adjusting for the potential confounding factors of age, gender, education level, and income level. Although the prevalence of type 2 diabetes was highest among those living in the U.S. for more than 20 years, there was no significant association between length of stay in the U.S. and diabetes prevalence among these Chinese Americans after adjustment for confounding factors. No association was found between length of stay in the U.S. and overweight/obese status among this population either, after adjusting for confounding factors, too. On the other hand, a longer length of stay was significantly associated with increased health insurance coverage in both unadjusted and adjusted models. The findings of this study suggest that length of stay in the U.S. alone may not be an indicator for diabetes risk among Chinese Americans. Future research should consider alternative models to measure acculturation (e.g., models that reflect acculturation as a multi-dimensional, not uni-dimensional process), which may more accurately depict its effect on diabetes prevalence and related risk factors.^