Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Prolonged Sedentary Bouts Predict Adverse Glycemic Outcomes Over 12 Months in Adults with Type 2 Diabetes: A Smartphone-Based Prospective Cohort Study

View through CrossRef
Background: Lifestyle behaviours such as physical activity, sedentary time and sleep play a central role in the management of Type 2 diabetes. Advances in smartphone technology now allow continuous, real-world monitoring of these behaviours at scale. While overall physical activity has a well-established relationship with glycemic control, less is known how the patterning of sedentary behaviour, sleep regularity and routine postmeal walking influence long-term glycemic outcomes and cardiometabolic risk. Objectives: To evaluate whether smartphone-derived sedentary bout length, daily step count, post-meal steps, and regularity predict 12-month change in HbA1c and incident metabolic syndrome among overweight and obese adults. Methods: We conducted a 12 months observational cohort study of 252 adults (18-60 years) with type 2 diabetes using smartphone-based activity and sleep tracking. Average Sedentary bout length (minutes), daily steps, post-meal steps and sleep regulatory score were derived from passively collected smartphone data. Clinical measurements included baseline and 12-month HbA1c and 12 month metabolic syndrome status. Sleep regularity was assessed using the Sleep Regularity Questionnaire (SRQ). For Aim 1, we fit a multivariable linear regression with 12-month HbA1c change as outcome and sedentary bout length as primary predictor, adjusted for age, sex, BMI, baseline HbA1c, and daily steps. For Aims 2 and 3, we used multivariable logistic regression models with incident metabolic syndrome at 12 months as outcome and sleep regularity (Aim 2) or post-meal steps (Aim 3) as primary predictor, adjusting for age, sex, BMI, baseline HbA1c, and daily steps. Results: Longer sedentary periods were independently linked to less favorable HbA1c changes. Each extra minute in average sedentary bout length was associated with about 0.002 percentage point higher HbA1c over 12 months (β) 0,0021, 95% CI roughly 0.001-0.003, p < 0.001) after adjustment. This means a 0.06 percentage point increase in HbA1c over 12 months for a 30-minute difference in sedentary bout length. In contrast, sleep regularity score was not significantly connected with incident metabolic syndrome at 12 months in adjusted logistic regression (odds ratio near 1.0, 95 % CI including 1). Similarly, post-meal steps showed no statistically significant protective link with incident metabolic syndrome after adjustment. Conclusions: In this smartphone-based cohort of adults with diabetes, longer sedentary bouts, independent of total daily steps, predicted worse 12-month HbA1c trajectories. Sleep regularity and post-meal stepping were not clearly associated with incident metabolic syndrome, though limited power and measurement error may have influenced results. Targeting interruptions in sedentary periods could be a practical focus for digital health interventions aimed at improving glycemic control control.
Title: Prolonged Sedentary Bouts Predict Adverse Glycemic Outcomes Over 12 Months in Adults with Type 2 Diabetes: A Smartphone-Based Prospective Cohort Study
Description:
Background: Lifestyle behaviours such as physical activity, sedentary time and sleep play a central role in the management of Type 2 diabetes.
Advances in smartphone technology now allow continuous, real-world monitoring of these behaviours at scale.
While overall physical activity has a well-established relationship with glycemic control, less is known how the patterning of sedentary behaviour, sleep regularity and routine postmeal walking influence long-term glycemic outcomes and cardiometabolic risk.
Objectives: To evaluate whether smartphone-derived sedentary bout length, daily step count, post-meal steps, and regularity predict 12-month change in HbA1c and incident metabolic syndrome among overweight and obese adults.
Methods: We conducted a 12 months observational cohort study of 252 adults (18-60 years) with type 2 diabetes using smartphone-based activity and sleep tracking.
Average Sedentary bout length (minutes), daily steps, post-meal steps and sleep regulatory score were derived from passively collected smartphone data.
Clinical measurements included baseline and 12-month HbA1c and 12 month metabolic syndrome status.
Sleep regularity was assessed using the Sleep Regularity Questionnaire (SRQ).
For Aim 1, we fit a multivariable linear regression with 12-month HbA1c change as outcome and sedentary bout length as primary predictor, adjusted for age, sex, BMI, baseline HbA1c, and daily steps.
For Aims 2 and 3, we used multivariable logistic regression models with incident metabolic syndrome at 12 months as outcome and sleep regularity (Aim 2) or post-meal steps (Aim 3) as primary predictor, adjusting for age, sex, BMI, baseline HbA1c, and daily steps.
Results: Longer sedentary periods were independently linked to less favorable HbA1c changes.
Each extra minute in average sedentary bout length was associated with about 0.
002 percentage point higher HbA1c over 12 months (β) 0,0021, 95% CI roughly 0.
001-0.
003, p < 0.
001) after adjustment.
This means a 0.
06 percentage point increase in HbA1c over 12 months for a 30-minute difference in sedentary bout length.
In contrast, sleep regularity score was not significantly connected with incident metabolic syndrome at 12 months in adjusted logistic regression (odds ratio near 1.
0, 95 % CI including 1).
Similarly, post-meal steps showed no statistically significant protective link with incident metabolic syndrome after adjustment.
Conclusions: In this smartphone-based cohort of adults with diabetes, longer sedentary bouts, independent of total daily steps, predicted worse 12-month HbA1c trajectories.
Sleep regularity and post-meal stepping were not clearly associated with incident metabolic syndrome, though limited power and measurement error may have influenced results.
Targeting interruptions in sedentary periods could be a practical focus for digital health interventions aimed at improving glycemic control control.

Related Results

Small Cell Lung Cancer and Tarlatamab: A Meta-Analysis of Clinical Trials
Small Cell Lung Cancer and Tarlatamab: A Meta-Analysis of Clinical Trials
Abstract Introduction Tarlatamab is a Delta-like ligand 3 (DLL3) -directed bispecific T-cell engager recently approved for use in patients with advanced small cell lung cancer (SCL...
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Abstract The Physical Activity Guidelines for Americans (Guidelines) advises older adults to be as active as possible. Yet, despite the well documented benefits of physical a...
Individualized Glycemic Index: A New Approach to Personalized Glycemic Control
Individualized Glycemic Index: A New Approach to Personalized Glycemic Control
ABSTRACT Introduction The assessment of glycemic control is fundamental for diabetes management. However, traditional measures ...
Microwave Ablation with or Without Chemotherapy in Management of Non-Small Cell Lung Cancer: A Systematic Review
Microwave Ablation with or Without Chemotherapy in Management of Non-Small Cell Lung Cancer: A Systematic Review
Abstract Introduction  Microwave ablation (MWA) has emerged as a minimally invasive treatment for patients with inoperable non-small cell lung cancer (NSCLC). However, whether it i...
Pembrolizumab and Sarcoma: A meta-analysis
Pembrolizumab and Sarcoma: A meta-analysis
Abstract Introduction: Pembrolizumab is a monoclonal antibody that promotes antitumor immunity. This study presents a systematic review and meta-analysis of the efficacy and safety...
Diabetes knowledge and glycemic control among type 2 diabetes patients at public hospitals in Debre Berhan, Ethiopia
Diabetes knowledge and glycemic control among type 2 diabetes patients at public hospitals in Debre Berhan, Ethiopia
Background Diabetes mellitus is a growing global health issue, especially in low- and middle-income countries like Ethiopia. To the best of our knowledge, the impact of diabetes kn...

Back to Top