Beyond Cut Points: Accelerometer Metrics that Capture the Physical Activity Profile

Purpose Commonly used physical activity metrics tell us little about the intensity distribution across the activity profile. The purpose of this paper is to introduce a metric, the intensity gradient, which can be used in combination with average acceleration (overall activity level) to fully describe the activity profile. Methods A total of 1669 adolescent girls (sample 1) and 295 adults with type 2 diabetes (sample 2) wore a GENEActiv accelerometer on their nondominant wrist for up to 7 d. Body mass index and percent body fat were assessed in both samples and physical function (grip strength, Short Physical Performance Battery, and sit-to-stand repetitions) in sample 2. Physical activity metrics were as follows: average acceleration (AccelAV); the intensity gradient (IntensityGRAD from the log–log regression line: 25-mg intensity bins [x]/time accumulated in each bin [y]); total moderate-to-vigorous physical activity (MVPA); and bouted MVPA (sample 2 only). Results Correlations between AccelAV and IntensityGRAD (r = 0.39–0.51) were similar to correlations between AccelAV and bouted MVPA (r = 0.48) and substantially lower than between AccelAV and total MVPA (r ≥ 0.93). IntensityGRAD was negatively associated with body fatness in sample 1 (P
Source: Medicine and Science in Sports and Exercise - Category: Sports Medicine Tags: SPECIAL COMMUNICATIONS: Methodological Advances Source Type: research

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Authors: Guarda NS, Bollick YS, de Carvalho JAM, Premaor MO, Comim FV, Moresco RN Abstract Background: Uric acid presents different roles in an organism. High serum uric acid concentrations may induce inflammatory pathways and promote kidney damage through different mechanisms. Therefore, this study investigated the association among high serum uric acid concentrations, renal tubular damage, and renal inflammation assessed via estimation of urinary kidney injury molecule-1 (KIM-1) and inflammatory cytokines in patients with type 2 diabetes (T2D). Methods: Urinary concentrations of KIM-1, IL-1, IL-6, IL-10, and ...
Source: Disease Markers - Category: Laboratory Medicine Tags: Dis Markers Source Type: research
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Source: Diabetes and Metabolic Syndrome: Clinical Research and Reviews - Category: Endocrinology Source Type: research
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Source: Diabetes and Metabolic Syndrome: Clinical Research and Reviews - Category: Endocrinology Source Type: research
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Source: Journal of Ethnopharmacology - Category: Drugs & Pharmacology Source Type: research
Condition:   Type 2 Diabetes Mellitus Interventions:   Drug: GX-G6;   Drug: Control Sponsor:   Genexine, Inc. Not yet recruiting
Source: ClinicalTrials.gov - Category: Research Source Type: clinical trials
Condition:   Diabetes Mellitus, Type 2 Intervention:   Drug: Insulin detemir Sponsor:   Novo Nordisk A/S Not yet recruiting
Source: ClinicalTrials.gov - Category: Research Source Type: clinical trials
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Source: Global Health Action - Category: International Medicine & Public Health Tags: Glob Health Action Source Type: research
THURSDAY, May 23, 2019 -- It has long been known that lifestyle affects a person's risk of developing type 2 diabetes. Now, researchers report that they have identified rare variants of four genes that may also play a part. For the study, an...
Source: Drugs.com - Daily MedNews - Category: General Medicine Source Type: news
THURSDAY, May 23, 2019 -- Routine urine samples can be used to test for medication adherence in patients with type 2 diabetes, according to a study published in the June issue of Diabetes Care. Prashanth Patel, M.B.B.S., from the University...
Source: Drugs.com - Pharma News - Category: Pharmaceuticals Source Type: news
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Source: Daily Express - Health - Category: Consumer Health News Source Type: news
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