Observational studyMedicine and science in sports and exercise2017
Change in Sedentary Time, Physical Activity, Bodyweight, and HbA1c in High-Risk Adults.
Observational study in Medicine and science in sports and exercise, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022Guideline
- Contributions of changes in physical activity, sedentary time, diet and body weight to changes in cardiometabolic risk.The international journal of behavioral nutrition and physical activity · 2021Trial
- Promoting physical activity in a multi-ethnic population at high risk of diabetes: the 48-month PROPELS randomised controlled trial.BMC medicine · 2021Trial
- The Effect of Saffron Extract Supplementation During Resistance Training on Hippocampal Doublecortin and Hepatic β-Hydroxybutyrate Levels in Rats With Type 2 Diabetes.Journal of diabetes research · 2026Article
- A retrospective study of 5S behaviours of Physical Activity (PA) among suburban Mumbai population with Type 2 Diabetes Mellitus (T2DM).Journal of family medicine and primary care · 2025Article
- Temporal Relationship between HbA1c and Depressive Symptom Trajectories in a Longitudinal Cohort Study: The Mediating Role of Healthy Lifestyles.Brain sciences · 2024Article
- Determinants of Activity Phenotype in Patients with Chronic Obstructive Pulmonary Disease.International journal of chronic obstructive pulmonary disease · 2023Article
- Assessing the Transferability of Physical Activity Type Detection Models: Influence of Age Group Is Underappreciated.Frontiers in physiology · 2021Article
- Physical Activity Dimensions and Its Association with Risk of Diabetes in Middle and Older Aged Chinese People.International journal of environmental research and public health · 2020Article
- The Key Factors in Physical Activity Type Detection Using Real-Life Data: A Systematic Review.Frontiers in physiology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
purposeIn recent years, there has been a migration toward the use of glycated hemoglobin (HbA1c) in determining glycemic control. This study aimed to quantify the associations between changes in body weight, sedentary time, and moderate to vigorous physical activity (MVPA) time with HbA1c levels for a 3-yr period among adults at high risk of type 2 diabetes.
methodsThis study reports baseline and 3-yr follow-up data from the Walking Away from Type 2 Diabetes study. ActiGraph GT3X accelerometers captured sedentary time and MVPA. Linear regression examined the independent associations of changes in sedentary time, MVPA, and body weight with HbA1c between baseline and 3-yr follow-up.
resultsThe sample composed of 489 participants (mean age = 64.2 ± 7.3 yr, body mass index = 31.7 ± 5.1, 63.4% male) with valid baseline and follow-up accelerometer, body weight, and HbA1c data. After adjustment for known confounders, an increase in MVPA time (per 30 min·d) was associated with a decrease in HbA1c percentage (β = -0.11 [-0.18 to -0.05], P = 0.001), and an increase in body weight (per 6 kg) was associated with an increase in HbA1c percentage (β = 0.08 [0.04-0.12], P < 0.001). The presence of dysglycemia at baseline (HbA1c ≥ 6.0%) strengthened these associations (P < 0.001 for interactions). Change in sedentary time was not significantly associated with change in HbA1c after adjustment for change in MVPA time.
conclusionIncreases in MVPA and body weight were associated with a reduction and increase in HbA1c, respectively, particularly in those with dysglycemia. Quantifying the effect that health behavior changes have on HbA1c can be used to inform prevention programs.
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