Understanding Primary Care Patients' Self-weighing Habits: Cohort Analysis from the PaTH Clinical Data Research Network

Self-Weighing Behaviors of Diverse Community-Dwelling Adults Motivated for a Lifestyle Change

We aimed to understand adults’ self-weighing behaviors and explore significant predictors of body mass index (BMI) accuracy based on self-reported height and weight in a diverse sample of community-dwelling adults. Methods: In this cross-sectional study, 531 adults participating in a physical activity program or a weight loss program were analyzed. Participants’ self-reported and objectively measured weight, height, weight scale ownership, self-weighing behaviors, and medical history were collected. Results: The mean age (standard deviation) was 50.0 (12.0) years with a range of 24 to 78 years. Out of 531 participants, 455 (85.7%) were women. The study population was diverse (58.9% non-White). In total, 409 (77.0%) participants had a weight scale at home, but only 222 (41.8%) weighed themselves at least once a week. The weight and BMI underestimation became much more significant as the participant’s weight increased (p ≤ 0.001). Employment status, high cholesterol, and low objectively measured weight were significant predictors of self-reported BMI accuracy after controlling for potential confounding factors (p < 0.05). Interestingly, ownership of a home weight scale and the frequency of self-weighing behavior were not significantly associated with the accuracy of self-reported BMI (p > 0.05). Conclusion: The accuracy of the participants’ BMI, based on self-reported height and weight, was significantly associated with employment status, high cholesterol, and low objectively measured weight, suggesting that BMI accuracy depends on multi factors.

Minority and low-income patients are less likely to have a scale for self-weighing in their home: A survey in primary care

Daily self-weighing is a weight management behaviour that requires a scale; however, scale ownership may be cost-prohibitive for some patients. Our objective was to understand the proportion of primary care patients with a scale at home, and factors associated with home scale access, to potentially inform future interventions that facilitate scale access. Cross sectional survey of 216 adult patients from three primary care clinics: mixed-income urban/suburban (n = 68); mixed-income urban (n = 70); low-income urban (n = 74). The dependent variable was presence of a home scale; bivariate associations were conducted with variables including demographics, insurance type, clinic setting and self-reported height/weight. Mean age was 53 years; 71% women; 71% racial minority; mean body mass index 32 kg/m2 . Overall, 56% had a home scale. Most (79%) white patients owned a scale, compared to 46% of racial minority patients (P < .01); 33% of low-income patients owned scale, compared to over 66% of patients at the clinics serving mixed-income populations (P < .01). Most low-income urban clinic patients do not own a home scale. Because self-weighing is an effective weight-management behaviour, clinicians could consider assessing scale access, and future research should assess the health impact of providing scales to patients with overweight/obesity who desire weight loss or maintenance.