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Respiratory infectious diseases such as bacterial pneumonia and bronchitis are common and costly, especially in institutionalized and elderly inpatients. Respiratory infection is thought to rely in part on the aspiration of oropharyngeal flora into the lower respiratory tract and failure of host defense mechanisms to eliminate the contaminating bacteria, which then multiply to cause infection. It has been suggested that dental plaque may act as a reservoir of respiratory pathogens, especially in patients with periodontal disease. However, the impact of poor oral health on oral respiratory pathogen colonization and lung infection is uncertain, especially in ambulatory, non-institutionalized populations. To begin to assess potential associations between respiratory diseases and oral health, data from the National Health and Nutrition Examination Survey I (NHANES I) were analyzed. This database contains information on the general health status of 23,808 individual Of these, 386 individuals reported a suspected respiratory condition that was further assessed by a physician. These subjects were categorized as having a confirmed chronic respiratory disease (chronic bronchitis or emphysema) or an acute respiratory disease (influenza, pneumonia, acute bronchitis). They were compared to those not having a respiratory disease. Initial non-parametric analysis noted that individuals with a confirmed chronic respiratory disease (n = 41) had significantly greater oral hygiene index scores than subjects without respiratory disease (n = 193; P = 0.0441). Logistic regression analysis of data from these subjects, which considered age, race, gender, smoking status, and simplified oral hygiene index (OHI), suggested that subjects having the median OHI value were 1.3 times more likely to have a chronic respiratory disease relative to those with and OHI of O. Similarly, subjects with the maximum OHI value were 4.5 times more likely to have a chronic respiratory disease than those with an OHI of O. No evidence was found to support an association between the periodontal index and any respiratory disease. These results suggest OHI to have a residual effect on chronic respiratory disease of both practical and statistical significance.

In hypothesis testing involving censored lifetime data that are independently distributed according to an accelerated-failure-time model, it is often of interest to predict whether continuation of the experiment will significantly alter the inferences drawn at an interim point. Approaching the problem from a Bayesian viewpoint, we suggest a possible solution based on Laplace approximations to the posterior distribution of the parameters of interest and on Markov-chain Monte Carlo. We apply our results to Weibull data from a carcinogenesis experiment on mice. Lorsque Ton desire tester une hypothese a partir de durees de vie censurees dans le cadre d'un modele a temps de panne accelere, il peut œtre interessant de se demander si les conclusions suggerees par l'experience a un moment donne seraient susceptibles d'ětre modifiees de facon significative si on la prolongeait. Les auteurs abordent ce probleme d'un point de vue bayesien. Us proposent une solution faisant appel a des approximations de Laplace de la loi a posteriori des parametres d'interět, ainsi qu'a des methodes de Monte-Carlo s'appuyant sur des chaines de Markov. Leurs resultats sont illustres a l'aide de donnees de type Weibull portant sur la duree de vie de souris canceruses.

Hospitalization of nursing home residents at the end of life is common, more so among African Americans. Whether a nursing home's racial mix is associated with hospitalization is unknown.This study examined the association between race, a nursing home's racial mix, and end-of-life hospitalization.This was a retrospective cohort study.Studied were nursing home residents in New York (n = 14,159) and Mississippi (n = 1481) who died in 1995-1996 and had a minimum data set (MDS) assessment within 120 days of death.The outcome measure was the odds of hospitalization in the last 90 days of life. A variable reflecting a nursing home's proportion of African American residents (in 1995-1996) represented a nursing home's racial mix.Forty-six percent of African Americans and 32% of whites were hospitalized in the last 90 days of life. After controlling for demographics, diagnoses, function, patient preferences (do-not-resuscitate [DNR]), and facility resources, nursing home residents in facilities having higher proportions of African American residents had greater odds of hospitalization (adjusted odds ratio [AOR] 1.14; 95% confidence interval [CI] 1.10, 1.18 in New York and AOR 1.35; 95% CI 1.24, 1.46 in Mississippi). Age and frailty interacted with race; older African Americans had a 16% greater likelihood (95% CI 1.08, 1.24) of hospitalization, and African Americans with more functional limitations had a 37% (95% CI 1.24, 1.51) greater likelihood of hospitalization than did comparable whites.It appears higher end-of-life hospitalization rates for African American residents are attributable to the facilities where most reside, and to differential hospitalization of older or more functional limited residents.

The Parents of Asthmatics Quit Smoking (PAQS) project contrasts two theory-based smoking cessation interventions for parents of children with asthma, and compares mechanisms of behavior change within and across theoretical perspectives. We hypothesize that enhancing the perception of risk to self and child will motivate smoking cessation more than standard approaches that emphasize building self-efficacy and coping skills for quitting in a population that is largely not motivated to quit smoking. Smokers (n = 288) and their asthmatic children who receive nurse-delivered in-home asthma education (as part of the insurance carrier's standard of care) are randomized into one of two treatment conditions: (1) the Behavioral Action Model (BAM), in which nurses emphasize goal setting and skill building to enhance self-efficacy to quit smoking, or 2) the Precaution Adoption Model (PAM), in which nurses tailor the intervention to the smoker's readiness to quit and incorporate biomarker feedback [i.e. level of carbon monoxide exposure to the smoker and level of environmental tobacco smoke (ETS) exposure to the child] in order to increase risk perception in smokers. In both conditions, smokers who are ready to quit receive the nicotine patch. Analyses will examine (1) quit rates, ETS level and motivation to quit as the primary dependent variables, (2) mediators of behavior change between and within conditions, and (3) relations between parent smoking outcomes and child asthma morbidity (i.e. ER visits and asthma symptoms) post-treatment. Results will help tailor interventions to this population, and identify mechanisms of behavior change that result in adaptive health outcomes for smokers and their children who have asthma.