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Delay discounting and intake of ready-to-eat and away-from-home foods in overweight and obese womenA shift from home-prepared to away-from-home and ready-to-eat foods has occurred in recent decades, which has implications for obesity and health. This study tested whether delay discounting, a facet of impulsivity reflecting sensitivity to immediate reward, is associated with the frequency of consumption and typical amount consumed of home-prepared, away-from-home, and ready-to-eat foods among overweight and obese women. Seventy-eight participants completed a binary choice task assessing discounting of delayed monetary rewards. Nutrient analysis of weighed food records characterized dietary intake over seven consecutive days. Foods were categorized as home-prepared, away-from-home, or ready-to-eat by a registered dietitian from information provided by participants. Delay discounting was not associated with the frequency of consuming home-prepared, away-from-home, and ready-to-eat foods as reflected in the percentages of recorded foods or total energy intake from each category. However, once consuming away-from-home and ready-to-eat foods (but not home-prepared foods), impulsive women consumed more energy than less impulsive women. Exploratory analyses indicated that more impulsive women chose away-from-home foods with a higher energy density (kcal/g). Impulsivity was associated with the quantity of away-from-home and ready-to-eat foods consumed, but not the frequency of their consumption. Home food preparation may be critical to weight control for impulsive individuals.
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Social influences on smoking in middle-aged and older womenThe purpose of this study was to examine the role of 2 types of social influence-general social support and living with a smoker-on smoking behavior among middle-aged and older women in the Women's Health Initiative (WHI) Observational Study. Participants were postmenopausal women who reported smoking at some time in their lives (N = 37,027), who were an average age of 63.3 years at baseline. Analyses used multiple logistic regression and controlled for age, educational level, and ethnicity. In cross-sectional analyses, social support was associated with a lower likelihood and living with a smoker was associated with a higher likelihood of being a current smoker and, among smokers, of being a heavier smoker. Moreover, in prospective analyses among baseline smokers, social support predicted a higher likelihood and living with a smoker predicted a lower likelihood of smoking cessation 1-year later. Further, in prospective analyses among former smokers who were not smoking at baseline, social support predicted a lower likelihood and living with a smoker predicted a higher likelihood of smoking relapse 1-year later. Overall, the present results indicate that social influences are important correlates of smoking status, smoking level, smoking cessation, and smoking relapse among middle-aged and older women. (PsycINFO Database Record (c) 2011 APA, all rights reserved).
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Invitation to a dialogue between researchers and clinicians about evidence-based behavioral medicineBACKGROUND: Evidence-based behavioral medicine (EBBM) aims to improve the process through which best scientific research evidence can be obtained and translated into best clinical decisions regarding behavioral treatments to improve health. PURPOSE: The objective was to examine some legitimate concerns raised by both clinicians and researchers about the evidence-based movement. METHODS: This article begins with a discussion of clinicians' fears that EBBM devalues clinical judgment and the therapist-patient relationship, will be used to restrict practice, is unnecessary, and is based on research that is irrelevant to clinical decision making. Next we consider researchers' worries that EBBM neglects evidence not based on randomized controlled trials and ignores causal mechanisms. RESULTS: We find that these fears, although understandable, largely reflect misinterpretations of the evidence-based movement. Further, it is suggested that behavioral medicine is in a unique position to enhance the evidence-based movement by encouraging increased attention to treatment mechanisms and to knowledge translation. CONCLUSIONS: Clinicians, researchers, and, importantly, the public will benefit from the evidence-based movement by having a health care system that is built on solid grounds of evidence in determining which treatments should constitute the standard of care. A full partnership between clinicians and researchers is called for to generate the practical, rigorous evidence base needed to take behavioral health treatments to the next level of scientific support and implementation.