scholarly journals IMPACT OF PHYSICIAN LED LIFE STYLE MODIFICATIONS (DIET AND DAILY STEP COUNT BY USING PEDOMETER) ON GLYCEMIC CONTROL OF PATIENTS WITH TYPE II DIABETIC

2021 ◽  
Vol 71 (2) ◽  
pp. 478-81
Author(s):  
Rimsha Azhar ◽  
Khurshid Uttra ◽  
Andaleeb Khan ◽  
Marriam Hussain Awan ◽  
Ayesha Anwer ◽  
...  
Keyword(s):  
Glycemic Control ◽  
Life Style ◽  
Step Count ◽  
Diabetic Patients ◽  
Care Hospital ◽  
Type Ii ◽  
Daily Step ◽  
Significant Difference ◽  
Daily Step Count ◽  
The Impact

Objective: To determine the impact of physician led life style modifications (diet and daily step count by using pedometer) on glycemic control of type II diabetic patients Study Design: Quasi experimental study. Place and Duration of Study: Pak Emirates Military Hospital, Rawalpindi, Aug 2018 to Feb 2019. Methodology: The sample population comprised of 200 diabetic patients reporting for the routine follow-up at a tertiary care hospital in Rawalpindi. Patients were divided into two groups by random method. Group A had the patients with continuation of the routine anti-diabetic medication while group received the physician led life style modifications in addition to the routine anti diabetic medication. Values of HBA1c among the groups were compared three months after the start of study. Results: Mean age of the patients was 42.19 ± 6.175 years. Mean duration of DM in the study participants was 4.52 ± 4.166 years. Out of 115 patients were male while 85 were female. HBA1c in the intervention group was 7.96% ± 0.39 while in the control group was 7.04% ± 0.81. Difference between the two groups was statistically significant (p-value<0.01). Conclusion: This study showed a significant difference in glycemic control of patients who received physician led life style modification in addition to conventional biological treatment than those who only received the routine anti-diabetic medication. Physicians should be trained to impart this sort of education to the diabetic patients in routine diabetic clinics.

scholarly journals Adding team-based financial incentives to the Carrot Rewards physical activity app increases daily step count on a population scale: a 24-week matched case control study

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Emma Pearson ◽  
Harry Prapavessis ◽  
Christopher Higgins ◽  
Robert Petrella ◽  
Lauren White ◽  
...  
Keyword(s):  
Physical Activity ◽  
Financial Incentives ◽  
Step Count ◽  
Daily Step ◽  
Individual Level ◽  
Significant Difference ◽  
Daily Step Count ◽  
Steps Per Day ◽  
The Impact ◽  
Experimental Group

Abstract Background Mobile health applications (mHealth apps) targeting physical inactivity have increased in popularity yet are usually limited by low engagement. This study examined the impact of adding team-based incentives (Step Together Challenges, STCs) to an existing mHealth app (Carrot Rewards) that rewarded individual physical activity achievements. Methods A 24-week quasi-experimental study (retrospective matched pairs design) was conducted in three Canadian provinces (pre-intervention: weeks 1–12; intervention: weeks 13–24). Participants who used Carrot Rewards and STCs (experimental group) were matched with those who used Carrot Rewards only (controls) on age, gender, province and baseline mean daily step count (±500 steps/d). Carrot Rewards users earned individual-level incentives (worth $0.04 CAD) each day they reached a personalized daily step goal. With a single partner, STC users could earn team incentives ($0.40 CAD) for collaboratively reaching individual daily step goals 10 times in seven days (e.g., Partner A completes four goals and Partner B completes six goals in a week). Results The main analysis included 61,170 users (mean age = 32 yrs.; % female = 64). Controlling for pre-intervention mean daily step count, a significant difference in intervention mean daily step count favoured the experimental group (p < 0.0001; ηp2 = 0.024). The estimated marginal mean group difference was 537 steps per day, or 3759 steps per week (about 40 walking min/wk). Linear regression suggested a dose-response relationship between the number of STCs completed (app engagement) and intervention mean daily step count (adjusted R2 = 0.699) with each new STC corresponding to approximately 200 more steps per day. Conclusion Despite an explosion of physical activity app interest, low engagement leading to small or no effects remains an industry hallmark. In this paper, we found that adding modest team-based incentives to the Carrot Rewards app increased mean daily step count, and importantly, app engagement moderated this effect. Others should consider novel small-teams based approaches to boost engagement and effects.

scholarly journals Adding Team-Based Financial Incentives to the Carrot Rewards App Increases Daily Step Count on a Population Scale: A 24-Week Matched Pairs Study

2020 ◽  
Author(s):  
Emma Pearson ◽  
Harry Prapavessis ◽  
Christopher Higgins ◽  
Robert Petrella ◽  
Lauren White ◽  
...  
Keyword(s):  
Physical Activity ◽  
Financial Incentives ◽  
Step Count ◽  
Matched Pairs ◽  
Daily Step ◽  
Significant Difference ◽  
Daily Step Count ◽  
Steps Per Day ◽  
The Impact ◽  
Experimental Group

Abstract Background Mobile health applications (mHealth apps) targeting physical inactivity have increased in popularity yet are usually limited by low engagement. This study examined the impact of adding team-based incentives (Step Together Challenges, STCs) to an existing mHealth app (Carrot Rewards) that rewarded individual physical activity achievements. Methods A 24-week quasi-experimental study (retrospective matched pairs design) was conducted in three Canadian provinces (pre-intervention: weeks 1–12; intervention: weeks 13–24). Participants who used Carrot Rewards and STCs (experimental group) were matched with those who used Carrot Rewards only (controls) on age, gender, province and baseline mean daily step count (± 500 steps/d). Carrot Rewards users earned individual-level incentives (worth $0.04 CAD) each day they reached a personalized daily step goal. With a single partner, STC users could earn team incentives ($0.40 CAD) for collaboratively reaching individual daily step goals 10 times in seven days (e.g., Partner A completes four goals and Partner B completes six goals in a week). Results The main analysis included 61,170 users (mean age = 32yrs; % female = 64). Controlling for pre-intervention mean daily step count, a significant difference in intervention mean daily step count favoured the experimental group (p < 0.0001; ηp2 = 0.024). The estimated marginal mean group difference was 537 steps per day, or 3759 steps per week (about 40 walking min/wk). Linear regression suggested a dose-response relationship between the number of STCs completed (app engagement) and intervention mean daily step count (adjusted R2 = 0.699) with each new STC corresponding to approximately 200 more steps per day. Conclusion Despite an explosion of physical activity app interest (100,000 + published apps), low engagement leading to small or no effects remains an industry hallmark. In this paper, we found that adding modest team-based incentives to the Carrot Rewards app increased mean daily step count, and importantly, app engagement moderated this effect. Others should consider novel small-teams based approaches to boost engagement and effects.

scholarly journals Adding team-based financial incentives to the Carrot Rewards physical activity app increases daily step count on a population scale: A 24-week matched case control study

2020 ◽  
Author(s):  
Emma Pearson ◽  
Harry Prapavessis ◽  
Christopher Higgins ◽  
Robert Petrella ◽  
Lauren White ◽  
...  
Keyword(s):  
Physical Activity ◽  
Financial Incentives ◽  
Step Count ◽  
Daily Step ◽  
Individual Level ◽  
Significant Difference ◽  
Daily Step Count ◽  
Steps Per Day ◽  
The Impact ◽  
Experimental Group

Abstract Background: Mobile health applications (mHealth apps) targeting physical inactivity have increased in popularity yet are usually limited by low engagement. This study examined the impact of adding team-based incentives (Step Together Challenges, STCs) to an existing mHealth app (Carrot Rewards) that rewarded individual physical activity achievements.Methods: A 24-week quasi-experimental study (retrospective matched pairs design) was conducted in three Canadian provinces (pre-intervention: weeks 1-12; intervention: weeks 13-24). Participants who used Carrot Rewards and STCs (experimental group) were matched with those who used Carrot Rewards only (controls) on age, gender, province and baseline mean daily step count (±500 steps/d). Carrot Rewards users earned individual-level incentives (worth $0.04 CAD) each day they reached a personalized daily step goal. With a single partner, STC users could earn team incentives ($0.40 CAD) for collaboratively reaching individual daily step goals 10 times in seven days (e.g., Partner A completes four goals and Partner B completes six goals in a week).Results: The main analysis included 61,170 users (mean age=32yrs; % female=64). Controlling for pre-intervention mean daily step count, a significant difference in intervention mean daily step count favoured the experimental group (p<0.0001; ηp2=0.024). The estimated marginal mean group difference was 537 steps per day, or 3759 steps per week (about 40 walking min/wk). Linear regression suggested a dose-response relationship between the number of STCs completed (app engagement) and intervention mean daily step count (adjusted R2=0.699) with each new STC corresponding to approximately 200 more steps per day.Conclusion: Despite an explosion of physical activity app interest, low engagement leading to small or no effects remains an industry hallmark. In this paper, we found that adding modest team-based incentives to the Carrot Rewards app increased mean daily step count, and importantly, app engagement moderated this effect. Others should consider novel small-teams based approaches to boost engagement and effects.

scholarly journals Adding team-based financial incentives to the Carrot Rewards physical activity app increases daily step count on a population scale: A 24-week matched case control study

2020 ◽  
Author(s):  
Emma Pearson ◽  
Harry Prapavessis ◽  
Christopher Higgins ◽  
Robert Petrella ◽  
Lauren White ◽  
...  
Keyword(s):  
Physical Activity ◽  
Financial Incentives ◽  
Step Count ◽  
Daily Step ◽  
Individual Level ◽  
Significant Difference ◽  
Daily Step Count ◽  
Steps Per Day ◽  
The Impact ◽  
Experimental Group

Abstract Background: Mobile health applications (mHealth apps) targeting physical inactivity have increased in popularity yet are usually limited by low engagement. This study examined the impact of adding team-based incentives (Step Together Challenges, STCs) to an existing mHealth app (Carrot Rewards) that rewarded individual physical activity achievements. Methods: A 24-week quasi-experimental study (retrospective matched pairs design) was conducted in three Canadian provinces (pre-intervention: weeks 1-12; intervention: weeks 13-24). Participants who used Carrot Rewards and STCs (experimental group) were matched with those who used Carrot Rewards only (controls) on age, gender, province and baseline mean daily step count (±500 steps/d). Carrot Rewards users earned individual-level incentives (worth $0.04 CAD) each day they reached a personalized daily step goal. With a single partner, STC users could earn team incentives ($0.40 CAD) for collaboratively reaching individual daily step goals 10 times in seven days (e.g., Partner A completes four goals and Partner B completes six goals in a week). Results: The main analysis included 61,170 users (mean age=32yrs; % female=64). Controlling for pre-intervention mean daily step count, a significant difference in intervention mean daily step count favoured the experimental group (p<0.0001; ηp2=0.024). The estimated marginal mean group difference was 537 steps per day, or 3759 steps per week (about 40 walking min/wk). Linear regression suggested a dose-response relationship between the number of STCs completed (app engagement) and intervention mean daily step count (adjusted R2=0.699) with each new STC corresponding to approximately 200 more steps per day. Conclusion: Despite an explosion of physical activity app interest, low engagement leading to small or no effects remains an industry hallmark. In this paper, we found that adding modest team-based incentives to the Carrot Rewards app increased mean daily step count, and importantly, app engagement moderated this effect. Others should consider novel small-teams based approaches to boost engagement and effects.

Characteristics of monitored diabetic patients by glycated haemoglobin (HbA1c)

2016 ◽  
Vol 5 (05) ◽  
pp. 4563
Author(s):  
Tariq A. Zafar
Keyword(s):  
Blood Glucose ◽  
Glycemic Control ◽  
Glycated Haemoglobin ◽  
Poor Glycemic Control ◽  
Diabetic Patients ◽  
Age Group ◽  
Hba1c Test ◽  
Significant Difference ◽  
Tract Infections ◽  
The Impact

Glycated haemoglobin (HbA1c) test indicates the blood glucose levels for the previous two to three months. Using HbA1c test may overcome many of the practical issues and prevent infections such as urinary tract infections (UTIs). The study aimed to evaluate the impact of glycemic control using HbA1c test to understand patient characteristics and UTIs prevalence. Glycemic control was evaluated by measuring HbA1c for a total of 208 diabetes patients who were regularly attending diabetes center in Al-Noor specialist hospital in Makkah.  The results showed that good and moderate glycemic controlled patients were 14.9% and 16.9% respectively while the poor glycemic patients were 68.3%. Among the good improved glycemic control, 83.9% were females, 48.4% were from age group (15-44y). Among the moderately improved glycemic control, 68.4% were females, 54.3% were from age group (45-64 y) with no significant difference. The total number of the patients with positive UTIs was 55 (26.4%) while the total number of patients with negative was UTIs 153 (73.6%). Among the positive UTIs, 76.3% were with poor glycemic control while only 12.3% and 11% were moderate and good improved glycemic control respectively. Among the negative UTIs, 65.3% were with poor glycemic control while only 19% and 15.7% were with moderate and good improved glycemic control respectively.  Prevalence of UTIs among diabetic patients was not significant (p > 0.05). It was concluded that HbA1c was useful monitoring tool for diabetes mellitus and may lead to improved outcomes. Using a HbA1c test may overcome many of the practical issues that affect the blood glucose tests.

scholarly journals EFFECT OF ORAL AZITHROMYCIN AND METRONIDAZOLE AS AN ADJUNCT TO SCALING AND ROOT PLANING ON GLYCEMIC CONTROL IN TYPE II DIABETIC PATIENTS WITH CHRONIC PERIODONTITIS

2017 ◽  
Vol 10 (3) ◽  
pp. 449
Author(s):  
Dhivya K ◽  
Yogarajan K ◽  
Shanmugarajan T S
Keyword(s):  
Diabetes Mellitus ◽  
Glycemic Control ◽  
Chronic Periodontitis ◽  
Alveolar Bone ◽  
Tertiary Care ◽  
Periodontal Therapy ◽  
Diabetic Patients ◽  
Care Hospital ◽  
Type Ii ◽  
Oral Azithromycin

ABSTRACTObjective: Periodontitis, a chronic inflammatory disease characterized by destruction of the periodontal ligament and alveolar bone is the sixthcomplication of diabetes mellitus. Periodontal treatment that reduces gingival inflammation aids in the control of hyperglycemia. Therefore, thepresent study was designed to determine the effect of treating chronic periodontitis with oral antibiotics azithromycin and metronidazole on the levelof serum glycated hemoglobin in type-II diabetic patients.Methods: This prospective observational study was carried out in the dental department of a tertiary care hospital for 9 months. Clinical andbiochemistry reports of 90 patients were collected in designed case report forms. All statistical analyses were performed using IBM Statistical Packagefor Social Sciences 17 and Graph Pad Prism 7.0.Results: Significant reduction in all the clinical and dental parameters was comparatively higher in patients who received azithromycin than inpatients who received metronidazole and scaling and root planning alone.Conclusion: Periodontal therapy with oral azithromycin can be employed as a supportive strategy for the management of diabetes mellitus.Henceforth, prevention and control of periodontal disease along with antibiotics must be considered an integral part of glycemic control. However,due to the lesser sample size in this study, further investigations are required to confirm the effect of periodontal therapy on systemic diseases.Keywords: Periodontitis, Azithromycin, Metronidazole, Glycemic control, Diabetes mellitus.

scholarly journals Glycemic Control & Morbidity in Diabetics With COPD Exacerbation. A Retrospective Study

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. A414-A414
Author(s):  
Ibrahim Naoum ◽  
Abedalghani Abedalhalim ◽  
Amir Aker ◽  
Luai Khalaili ◽  
Sameer Kassem
Keyword(s):  
Mechanical Ventilation ◽  
Glycemic Control ◽  
Population Based ◽  
Chronic Obstructive ◽  
P Value ◽  
Diabetic Patients ◽  
Copd Exacerbation ◽  
Copd Exacerbations ◽  
Significant Difference ◽  
The Impact

Abstract Background: Diabetes and chronic obstructive pulmonary disease (COPD) are widely prevalent and comorbidity with these diseases is quite common. However, there is limited data on the interrelation between glycemic control and COPD exacerbations in diabetic patients. Objective: To study the association between pre-admission glycemic control and COPD clinical outcomes including mortality, risk of hospital readmission and the need for mechanical ventilation. Methods: A retrospective population-based cohort study. We screened for patients with both diabetes and COPD exacerbation aged 35 years and above. Pre-admission glycemic control was defined by the last HBA1C level prior to hospitalization. Patients with HBA1C&gt;8% were defined as uncontrolled. We evaluated the difference between controlled and uncontrolled groups in the rates of mortality, readmission and the need for mechanical ventilation. We examined demographic and clinical parameters that might reflect COPD severity including: COPD medication use, blood hemoglobin, platelets, LDH and CRP levels. Results: 513 hospitalizations with diabetes and COPD were screened. 222 hospitalization were excluded either due to unestablished diagnosis of COPD or due to lack of HBA1C test in the preceding year. Of the remaining 291, 208 admissions were with controlled diabetes whereas 83 were uncontrolled. Although not statistically significant, the rate of re-hospitalization was higher in the uncontrolled group (OR 1.99, CI 0.99–4.0, p-value 0.051). There was no statistically significant difference in mortality (OR 1.6, CI 0.73–3.5, p-value 0.243). The use of oxygen and the need for noninvasive mechanical ventilation were significantly higher in the uncontrolled group (67.5% vs. 52.4%, p-value 0.019, 33.7% versus 18.8%, p-value 0.006, respectively). There was no significant difference in possible confounders tested between the groups. Conclusion: Uncontrolled diabetes may adversely affect patients with COPD exacerbation. Larger studies are needed to conclusively determine the impact of glycemic control on COPD morbidity and mortality.

Pre-Dialysis Glycemic Control is An Independent Predictor of Mortality Intype Ii Diabetic Patients on Continuous Ambulatory Peritoneal Dialysis

1999 ◽  
Vol 19 (2_suppl) ◽  
pp. 179-183 ◽  
Author(s):  
Mai-Szu Wu ◽  
Chun-Chen Yu ◽  
Ching-Herng Wu ◽  
Jeng Yi Haung ◽  
Mei-Lin Leu ◽  
...  
Keyword(s):  
Peritoneal Dialysis ◽  
Glycemic Control ◽  
Serum Albumin ◽  
Poor Glycemic Control ◽  
Control Group ◽  
Diabetic Patients ◽  
Type Ii ◽  
Good Glycemic Control ◽  
Cholesterol Levels ◽  
Significant Difference

Objective To evaluate the impact of pre-dialysis glycemic control on clinical outcomes for type II diabetic patients on continuous ambulatory peritoneal dialysis (CAPO). Materials and Methods One hundred and one type II diabetic patients receiving CAPO for at least 3 months were enrolled in a single institute. The patients were classified into two groups according to status of glycemic control. In the good glycemic control group, more than 50% of blood glucose determinations were within 3.3 11.0 mmol/L and glycosylated hemoglobin (HbA 1 C) levels were within 5% -10% at all times. In the poor glycemic control group, less than 50% of blood glucose determinations were within 3.3 -11.0 mmol/L, or HbA1C levels were above 10% at least 6 months before peritoneal dialysis was started. In addition to glycemic control status, pre-dialysis serum albumin, cholesterol levels, residual renal function, peritoneal membrane function, and modes of glycemic control were also recorded. Results The patients with good glycemic control had significantly better survival than those with poor glycemic control (p < 0.01). There was no significant difference in pre-dialysis morbidity between two groups. No significant differences were observed in patient survival between patients with serum albumin above 30 g/L and those with serum albumin under 30 g/L; between those with cholesterol levels above or below 5.2 mmol/L; and between those with different peritoneal membrane solute transport characteristics as evaluated by a peritoneal equilibration test (PET). Furthermore, there was no significant difference in survival between patients who controlled blood sugar by diet and those who controlled it by insulin. Cardiovascular disease and infection are the major causes of death in both groups. Although good glycemic control predicts better survival, it does not change the pattern of mortality in diabetic patients maintained on CAPO. Conclusions Glycemic control before starting dialysis is a predictor of survival for type II diabetic patients on CAPO. Patients with poor glycemic control predialysis are associated with increased morbidity and shortened survival.

scholarly journals Ambulation Orderlies and Recovery After Cardiac Surgery: A Pilot Randomized Controlled Trial

2017 ◽  
Vol 6 (3) ◽  
pp. 42-49 ◽  
Author(s):  
Quinn R. Pack ◽  
Erin A. Woodbury ◽  
Samuel Headley ◽  
Paul Visintainer ◽  
Richard Engelman ◽  
...  
Keyword(s):  
Functional Recovery ◽  
Barthel Index ◽  
Controlled Trial ◽  
Functional Independence ◽  
Step Count ◽  
Daily Step ◽  
Unique Identifier ◽  
Step Counts ◽  
Daily Step Count ◽  
The Impact

Background: One potential strategy to increasing physical activity after surgery is to use an ambulation orderly (AO), a dedicated employee who assures frequent patient walking. However, the impact of an AO on physical and functional recovery from surgery is unknown. Methods: We randomized postoperative cardiac surgical patients to receive either the AO or usual care. We measured average daily step count, changes in 6-min walk test (6MWT) distance, and changes in functional independence (Barthel Index). Our primary goal was to test protocols, measure variability in activity, and establish effect sizes. Results: Thirty-six patients were randomized (18 per group, 45% bypass surgery). Overall, patients exhibited significant recovery of physical function from baseline to discharge in the 6MWT (from 83 to 172 meters, p &lt; 0.001) and showed improvement in independent function (Barthel Index, 67 to 87, p &lt; 0.001). Moreover, each additional barrier to ambulation (supplemental oxygen, intravenous poles/fluid, walkers, urinary catheters, and chest tubes) reduced average daily step count by 330 steps/barrier, p = 0.04. However, the AO intervention resulted in only a small difference in average daily step counts (2718 versus 2541 steps/d, Cohen's d = 0.16, 608 patients needed for larger trial), which we attributed to several trial factors that likely weakened the AO intervention. Conclusion: In this pilot study, we observed significant in-hospital physical and functional recovery from surgery, but the addition of an AO made only marginal differences in daily step counts. Future studies should consider stepped-wedge or cluster trial designs to increase intervention effectiveness. Clinical Trials Registration: Clinicaltrials.gov unique identifier: NCT02375282.

scholarly journals Stay Home and Stay Active? The impact of stay-at-home restrictions on physical activity routines in the UK during the COVID-19 pandemic

2021 ◽  
Author(s):  
Victoria Eshelby ◽  
Muhammed Sogut ◽  
Kate Jolly ◽  
Ivo Vlaev ◽  
Mark T. Elliott
Keyword(s):  
Physical Activity ◽  
Urban Areas ◽  
Step Count ◽  
Daily Step ◽  
Physical And Mental Health ◽  
Targeted Interventions ◽  
Factors Associated ◽  
Daily Step Count ◽  
The Uk ◽  
The Impact

ABSTRACTGovernment restrictions applied during the COVID-19 pandemic in the UK led to the disruption of many people’s physical activity routines, with sports and leisure facilities closed and outdoor exercise only permitted once per day. In this study we investigated which population groups were impacted most in terms of reduced physical activity levels during these periods, and which groups benefitted in terms of increasing their usual level of physical activity. We surveyed UK residents, sampled through users of a rewards-for-exercise app (Sweatcoin; n=749) and an online panel (Prolific; n=907). Of the app users, n=487 further provided daily step-count data collected by the app, prior to, and during the periods of restrictions between March and June 2020. Regression models were applied to investigate factors associated with subjective change (perceived change in physical activity) and objective change (log-percentage change in daily step-count) in physical activity during the periods of restrictions. ANOVAs were used to further investigate the significant factors identified. Key factors associated with a substantial subjective reduction in physical activity included those classed as obese, gym users and people living in urban areas. All participants had a reduced step count during restrictions, with Black, Asian and minority ethnic (BAME) groups, students and urban dwellers showing the largest reductions. Therefore, targeted interventions are required to ensure that the physical and mental health impacts of sedentary behaviour are not exacerbated over the long-term by significant reductions in physical activity identified in these groups, particularly those who are also more vulnerable to the COVID-19 virus.

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