Objective: While weight status and clinical laboratory measures are important in assessing obesity-related disease severity and chronic disease risk, including a broader range of emotional, psychosocial, and behavioral factors would provide greater context of an individual's overall state of wellness and could be used to better guide treatment decisions. The purpose of this research was to develop a comprehensive Lifestyle Wellness assessment for use in lifestyle-based wellness interventions and programs.
Methods: A cross-sectional exploratory factor analysis (EFA) was conducted using baseline data from = 138 adults participating in behavioral weight loss trials.
Background: Obesity is commonly aggregated with indices of metabolic health. Proponents of body positivity approaches question whether body size is a determinant of health and well-being. Our objective was to conduct an exploratory factor analysis (EFA) to determine if body size measurements factor load with or independent of metabolic health measures.
View Article and Find Full Text PDFBackground: Socioecological factors are associated with key health behaviors that are critical for weight management, and major life events may disrupt engagement in these behaviors. However, the influence of socioecological factors on health behaviors in the midst of major life events is not clear and is difficult to study due to the random and sporadic nature of their occurrence. The COVID-19 pandemic provided a unique opportunity to study a major life event and its impacts on diet, physical activity, and body weight.
View Article and Find Full Text PDFBackground: Identifying as someone who engages in health promoting behaviors like healthy eating and exercising may be associated with sustained engagement in those behaviors, but reliable and valid instruments are needed to improve the rigor of this research. Two studies were conducted to (1) examine the psychometric properties of a four-item exerciser identity measure (4-EI) and an adapted healthy-eater identity measure (4-HEI) and (2) examine differences in identity strengths across categories of weight loss success.
Methods: Data from 1,709 community dwelling adults in the International Weight Control Registry (IWCR) were used.
Background: People with physical disabilities (PWD) have an increased risk of obesity and related comorbidities compared with people without physical disabilities (PWoD). Previously identified contributors to weight loss maintenance pose challenges to PWD. However, it is not known if PWD experience less success in weight management.
View Article and Find Full Text PDFBackground: People with physical disabilities (PWD) participate in less physical activity than people without physical disabilities (PWoD), which increases the risk for several negative health consequences. Comparing physical activity between PWD and PWoD remains a challenge since no reliable and valid survey exists to measure physical activity in both populations. The International Physical Activity Questionnaire (IPAQ) was adapted to be inclusive of PWD using a recently developed survey adaption framework; however, the adapted IPAQ has not been assessed for reliability and validity.
View Article and Find Full Text PDFBoth scientific evidence and popular diet trends have sought to identify the ideal diet for weight loss with strategies focused on either restricting carbohydrates or fat. While there is a strong physiologic rationale for either carbohydrate restriction or fat restriction to achieve a calorie deficit needed for weight loss, evidence from randomized controlled trials suggest either type of diet is effective for weight loss. The level of adherence, rather than macronutrient content, is the driver of successful weight loss.
View Article and Find Full Text PDFObjective: To validate an automated food image identification system, DietCam, which has not been validated, in identifying foods with different shapes and complexities from passively taken digital images.
Design: Participants wore Sony SmartEyeglass that automatically took three images per second, while two meals containing four foods, representing regular- (i.e.