Matching Items (2)

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Changes in Glycemia and Serum Lipids Following a 4-Month mHealth Walking Intervention

Description

Walking interventions focused on increasing step counts are typically associated with salutary effects on glycemia, fasting insulin, insulin resistance and blood lipids which may be in turn associated with improvements

Walking interventions focused on increasing step counts are typically associated with salutary effects on glycemia, fasting insulin, insulin resistance and blood lipids which may be in turn associated with improvements in cardiorespiratory fitness (peak oxygen uptake – VO2peak) and vascular stiffness. We hypothesized that a novel 4-month, behavioral economics-based walking intervention would have favorable effects on glucose homeostasis and blood lipids and that these in turn would be related to VO2peak and vascular stiffness (carotid femoral pulse wave velocity – cfPWV).

We carried out secondary analyses on a subsample of sedentary, overweight/obese adults who participated in a 4-month, 2x2, randomized-controlled walking intervention examining the effects of goal setting (static v. adaptive goals) and rewards (immediate v. delayed) on steps/day (N=96). Fasting blood samples (n=58) were collected from participants before and after the intervention. Premenopausal females were in the follicular phase of their menstrual cycles. Lipid and glucose levels were measured using an automated chemistry analyzer, while insulin was measured using radio-immunoassay. Homeostatic model of insulin resistance (HOMA-IR) was calculated using the following formula (HOMA-IR=glucose x insulin / 405). We examined associations [partial correlations (adjusted for age)] between changes in blood biomarkers and VO2peak and cfPWV, irrespective of group, and we used linear mixed models to examine between-group differences in levels of and change in biomarker outcomes.

Groups did not differ in overall levels of, or degree of change in, biomarker outcomes (all p>0.05). Mean changes, irrespective of group, in biomarkers were as follows: glucose Δ= 0.74± 4.5mg/dl; insulin Δ= 0.09 ± 4.1 µU/ml; total cholesterol Δ= 0.24 ± 20.6 mg/dl; HDL-C Δ= 0.27 ± 5.1 mg/dl; LDL-C Δ= 1.3 ± 19.9 mg/dl; triglycerides Δ= 1.7 ± 27.2 mg/dl; HOMA-IR Δ = -.0548 ± 1.05). We found no significant associations between change in biomarker levels and change in VO2peak or change in cfPWV (all correlation coefficients < 0.15; p > 0.05).

A 4-month, behavioral economics-based mHealth intervention focused on increasing steps/day did not bring about favorable changes on markers of glycemia, insulin resistance and blood lipids.

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Date Created
  • 2016-05

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Walking Intervention Through Texting for Adolescents

Description

It is well established that physical activity (PA) directly correlates with many health benefits, especially when active habits are formed during childhood and adolescence. PA practiced in adolescence has been

It is well established that physical activity (PA) directly correlates with many health benefits, especially when active habits are formed during childhood and adolescence. PA practiced in adolescence has been seen to carry into adulthood, helping to combat a host of chronic diseases, such as obesity and diabetes. However, in recent years there has been a steady decline in PA among adolescents, followed by a resulting rise in sedentary behavior. Walking Intervention Through Texting for Adolescents, or WalkIT-A, was an 11.5-week intervention that built upon behavioral theory to provide an incentive-based, adaptive, physical activity intervention to inactive adolescents. The goal of this study was to investigate an intervention which combined walking with pointed behavior change strategies to incite a larger increase in PA. Using single-case, reversal (ABA) design, the study was aimed at shaping physical activity behavior in adolescents aged 12-17 through a mobile health intervention that paired adaptive goal setting with financial incentives to increase step count. The intervention was delivered using a semi-automated texting, mobile-Health (mHealth) platform, which incorporated FitBit tracking technology, adaptive goals, motivational messages, performance feedback, and points/incentives. It was hypothesized that during the adaptive intervention phase participants would increase both steps per day and active minutes compared to baseline values. Upon conclusion of the study, the three adolescent participants exhibited increased steps and active minutes during the intervention period compared to baseline and withdrawal phases. However, the specific trends identified suggest the need for future research to incorporate even stronger intervention components to overcome PA "drop-off" midway through the intervention, along with other external, environmental influencers. Despite this need, the use of adaptive goal setting combined with incentives can be an effective means to incite PA behavior change in adolescents.

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Created

Date Created
  • 2016-12