Weight-loss intention in the well-functioning, community-dwelling elderly: associations with diet quality, physical activity, and weight change

BACKGROUND: Many older adults desire to lose weight, yet the proportion with a health-related weight-loss indication, weight-loss strategies, and success is unknown. OBJECTIVE: We examined the associations of reported intention to lose weight with health-related indications for weight loss, diet quality, physical activity, and weight-loss success in well-functioning older adults. DESIGN: This prospective, community-based cohort included 2708 elderly persons aged 70-79 y at baseline. We determined indication for weight loss by using the modified National Institutes of Health guidelines, diet quality by using the Healthy Eating Index, and weight-loss intention and physical activity by using questionnaires. Measured weight change over 1 y was assessed. RESULTS: Twenty-seven percent of participants reported an intention to lose weight, and 67% of those participants had an indication for weight loss. Participants who reported a weight-loss intention were heavier than those who did not, had more depressive symptoms, and were more likely to be dissatisfied with their weight, regardless of weight-loss indication. Participants with an intention to lose weight reported better eating behaviors and a more active lifestyle than did participants without a weight-loss intention, independent of other health conditions. No significant difference in actual weight loss was found between participants intending and not intending to lose weight, regardless of indication for weight loss. CONCLUSIONS: Despite being associated with healthier behaviors, the intention to lose weight did not predict greater weight loss in this well-functioning elderly cohort. More attention needs to be focused on the necessity and efficacy of specific strategies for weight loss in older adults.     

Fitting Health Care to People: Understanding and Adapting to the Epidemiology and Health Literacy of People Affected by Viral Hepatitis from Culturally and Linguistically Diverse Migrant Backgrounds

Journal of Immigrant and Minority Health - This study explored the epidemiology and health literacy of people affected by viral hepatitis (VH) from migrant culturally and linguistically diverse...     

Rodent models for compulsive alcohol intake

Continued seeking and drinking of alcohol despite adverse legal, health, economic, and societal consequences is a central hallmark of human alcohol use disorders. This compulsive drive for alcohol, defined by resistance to adverse and deleterious consequences, represents a major challenge when attempting to treat alcoholism clinically. Thus, there has long been interest in developing pre-clinical rodent models for the compulsive drug use that characterizes drug addiction. Here, we review recent studies that have attempted to model compulsive aspects of alcohol and cocaine intake in rodents, and consider technical and conceptual issues that need to be addressed when trying to recapitulate compulsive aspects of human addiction. Aversion-resistant alcohol intake has been examined by pairing intake or seeking with the bitter tastant quinine or with footshock, and exciting recent work has used these models to identify neuroadaptations in the amygdala, cortex, and striatal regions that promote compulsive intake. Thus, rodent models do seem to reflect important aspects of compulsive drives that sustain human addiction, and will likely provide critical insights into the molecular and circuit underpinnings of aversion-resistant intake as well as novel therapeutic interventions for compulsive aspects of addiction.     

Multiple outputation for the analysis of longitudinal data subject to irregular observation

Observational cohort studies often feature longitudinal data subject to irregular observation. Moreover, the timings of observations may be associated with the underlying disease process and must thus be accounted for when analysing the data. This paper suggests that multiple outputation, which consists of repeatedly discarding excess observations, may be a helpful way of approaching the problem. Multiple outputation was designed for clustered data where observations within a cluster are exchangeable; an adaptation for longitudinal data subject to irregular observation is proposed. We show how multiple outputation can be used to expand the range of models that can be fitted to irregular longitudinal data. Copyright © 2015 John Wiley & Sons, Ltd.