A Recommendation System of Nutrition and Physical Activity for Patients with Type 2 Diabetes Mellitus

2020 ◽  
pp. 287-297
Author(s):  
João Godinho ◽  
Sara Batista ◽  
Diogo Martinho ◽  
Luís Conceição
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Recommendation System ◽  
Nutrition And Physical Activity

Efficacy of a pedometer-based physical activity program on parameters of diabetes control in type 2 diabetes mellitus

Metabolism ◽  
2006 ◽  
Vol 55 (10) ◽  
pp. 1382-1387 ◽  
Author(s):  
Paul Araiza ◽  
Hilary Hewes ◽  
Carrie Gashetewa ◽  
Chantal A. Vella ◽  
Mark R. Burge
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetes Control ◽  
Physical Activity Program ◽  
Activity Program

Glucagon gene polymorphism modifies the effects of smoking and physical activity on risk of type 2 diabetes mellitus in Han Chinese

Gene ◽  
2014 ◽  
Vol 534 (2) ◽  
pp. 352-355 ◽  
Author(s):  
Linlin Li ◽  
Kaiping Gao ◽  
Jingzhi Zhao ◽  
Tianping Feng ◽  
Lei Yin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Gene Polymorphism ◽  
Han Chinese

scholarly journals Salud paso por paso : a culturally-tailored physical activity intervention with hispanic adults with type 2 diabetes mellitus

2021 ◽  
Author(s):  
◽  
Julio Cesar Loya
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Physical Activity Intervention ◽  
Controlled Trial ◽  
Control Group ◽  
Culturally Tailored ◽  
Hispanic Adults

Limited information is available regarding culturally-tailored physical activity (PA) interventions for Hispanic adults with type 2 diabetes mellitus (T2DM). A community-partnered approach was used to examine a novel culturally-tailored PA intervention using a pre-post, no control group design. The intervention consisted of six weekly 45-minute sessions for participants to engage in PA led by the researcher. A total of 21 individuals participated in the study. The typical participant was a 53-year-old female (90 percent) Hispanic adult living with T2DM with low acculturation. On average, before the intervention, the participants walked 10,285 (sd 14,779) steps per week with 43.4 (sd 68.1) minutes of PA per week. Despite implementation during the COVID-19 pandemic, the intervention was feasible and acceptable, and 19 (90.5 percent) participants attended all intervention sessions. There were significant increases in steps per week (p=0.007; d=1.03) and minutes of PA per week (p=0.000; d=1.62). Findings suggest that Salud Paso por Paso has promise as a strategy to enhance PA behaviors in the priority population. A randomized, controlled trial with a larger study sample is warranted to examine efficacy and impact on the diabetes health outcomes of Hispanic adults with T2DM.

scholarly journals Sleep Tracking and Exercise in Patients With Type 2 Diabetes Mellitus (Step-D): Pilot Study to Determine Correlations Between Fitbit Data and Patient-Reported Outcomes (Preprint)

2017 ◽  
Author(s):  
James Weatherall ◽  
Yurek Paprocki ◽  
Theresa M Meyer ◽  
Ian Kudel ◽  
Edward A Witt
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Pilot Study ◽  
Patient Reported Outcomes ◽  
Sleep Problems ◽  
Health Data ◽  
Patient Reported

BACKGROUND Few studies assessing the correlation between patient-reported outcomes and patient-generated health data from wearable devices exist. OBJECTIVE The aim of this study was to determine the direction and magnitude of associations between patient-generated health data (from the Fitbit Charge HR) and patient-reported outcomes for sleep patterns and physical activity in patients with type 2 diabetes mellitus (T2DM). METHODS This was a pilot study conducted with adults diagnosed with T2DM (n=86). All participants wore a Fitbit Charge HR for 14 consecutive days and completed internet-based surveys at 3 time points: day 1, day 7, and day 14. Patient-generated health data included minutes asleep and number of steps taken. Questionnaires assessed the number of days of exercise and nights of sleep problems per week. Means and SDs were calculated for all data, and Pearson correlations were used to examine associations between patient-reported outcomes and patient-generated health data. All respondents provided informed consent before participating. RESULTS The participants were predominantly middle-aged (mean 54.3, SD 13.3 years), white (80/86, 93%), and female (50/86, 58%). Use of oral T2DM medication correlated with the number of mean steps taken (r=.35, P=.001), whereas being unaware of the glycated hemoglobin level correlated with the number of minutes asleep (r=−.24, P=.04). On the basis of the Fitbit data, participants walked an average of 4955 steps and slept 6.7 hours per day. They self-reported an average of 2.0 days of exercise and 2.3 nights of sleep problems per week. The association between the number of days exercised and steps walked was strong (r=.60, P<.001), whereas the association between the number of troubled sleep nights and minutes asleep was weaker (r=.28, P=.02). CONCLUSIONS Fitbit and patient-reported data were positively associated for physical activity as well as sleep, with the former more strongly correlated than the latter. As extensive patient monitoring can guide clinical decisions regarding T2DM therapy, passive, objective data collection through wearables could potentially enhance patient care, resulting in better patient-reported outcomes.

scholarly journals Education And Eating Pattern As Risk Factors Of Diabetes Mellitus

2017 ◽  
Vol 6 (4) ◽  
Author(s):  
Ninna Rohmawati
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Basic Education ◽  
Sport Activity ◽  
Research Subjects ◽  
Eating Pattern

Education and eating pattern has significant contributions in determining incident of Diabetes Mellitus. Based on Riskesdas 2013, patient of Diabetes Mellitus who age >15 years increased from 5.7% (2007) to 6.9% (2013). Prevalence of Diabetes Mellitus in east java diagnosed by a doctor at 2.1%. The aim to determine risk factors affecting Diabetes Mellitus. This research was observational study. Subjects were patient of type 2 Diabetes Mellitus in RSD Kalisat who fulfilled inclusion criteria. Research subjects consisted of 40 people. Risk factors patients type 2 diabetes mellitus in the work area of Kalisat hospital Jember regency was in majority 45 years (82.5%), female (62.5%), basic education (77.5%), low levels of knowledge (47.5%), housewives 45%, eating pattern (87.5%), less sport activity (67.5%), less physical activity (55% ), overweight (37.5%) and not have the acts of hypertension (55%). Advice: education relation to knowledge needs to be improved, have good eating pattern, and need for regular physical activity.

The Relationship between Smartphone-Based Physical Activity and BMI in Type 2 Diabetes Mellitus Patients

2020 ◽  
Vol 15 (1) ◽  
pp. 389-398
Author(s):  
Reum Jung Ah ◽  
Ae Kim Shin ◽  
Tae Kim Kun ◽  
Taek Lee Dae ◽  
Kun Ho Yoon ◽  
...  
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
The Relationship
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