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Full-Text Articles in Health Policy

Identifying Windows Of Opportunity For Active Living And Healthy Eating Policies In Connecticut, 2016, Anna E. Greer, Ann-Uriel Knausenberger Mar 2018

Identifying Windows Of Opportunity For Active Living And Healthy Eating Policies In Connecticut, 2016, Anna E. Greer, Ann-Uriel Knausenberger

Public Health Faculty Publications

We examined the relative importance of 23 community issues among elected officials and health directors in Connecticut in 2016. For this cross-sectional study, 74 elected officials (40.7% response rate) and 47 health directors (62.7% response rate), who were purposively sampled, completed a questionnaire to rate their perceived importance of 23 community issues. Eight of these issues were related to active living, healthy eating, or obesity. We used χ2 tests to evaluate differences in responses. Compared with elected officials, health directors significantly more often perceived obesity, access to healthy groceries, poor nutrition, lack of pedestrian walkways, and pedestrian safety as important. …


A Clinical Score To Predict Dose Reductions Of Antidiabetes Medications With Intentional Weight Loss: A Retrospective Cohort Study., Ghanshyam Palamaner Subash Shantha, Anita Ashok Kumar, Vimal Ravi, Rohit C Khanna, Scott Kahan, Lawrence J Cheskin Jun 2016

A Clinical Score To Predict Dose Reductions Of Antidiabetes Medications With Intentional Weight Loss: A Retrospective Cohort Study., Ghanshyam Palamaner Subash Shantha, Anita Ashok Kumar, Vimal Ravi, Rohit C Khanna, Scott Kahan, Lawrence J Cheskin

Health Policy and Management Faculty Publications

Abstract

Background

We assessed the predictive accuracy of an empirically-derived score (weight loss, insulin resistance, and glycemic control: “WIG”) to predict patients who will be successful in reducing diabetes mellitus (DM) medication use with weight loss.

Methods

Case records of 121 overweight and obese patients with DM at two outpatient weight management centers were analyzed.

Results

Mean period of follow-up was 12.5 ± 3.5 months. To derive the “WIG” scoring algorithm, one point each was assigned to “W” (loss of 5% of initial body weight within the first 3 months of attempting weight loss), “I” (triglyceride [TGL]/highdensity lipoprotein ratio >3 …