Impact on the physical activity level of adults at high and very high risk of developing type 2 diabetes mellitus: email follow-up intervention

Introduction: Evaluation of total energy expenditure (TEE) and physical activity level (PAL) is important for treatment of patients with type 2 diabetes mellitus (T2DM). However, the validity of accelerometers (ACC) and physical activity questionnaires (PAQ) for estimating TEE and PAL remains unknown in elderly populations with T2DM. We evaluated the accuracy of TEE and PAL results estimated by an ACC (TEEACC and PALACC) and a PAQ (TEEPAQ and PALPAQ) in elderly patients with T2DM. Methods: Fifty-one elderly patients with T2DM (aged 61–79 years) participated in this study. TEEACC was calculated with PALACC using a triaxial ACC (Active style Pro HJA-750c) over 2 weeks and predicted basal metabolic rate (BMR) by Ganpule’s equation. TEEPAQ was estimated using predicted BMR and the PALPAQ from the Japan Public Health Center Study-Long questionnaire. We compared the results to TEEDLW measured with the doubly labeled water (DLW) method and PALDLW calculated with BMR using indirect calorimetry. Results: TEEDLW was 2,165 ± 365 kcal/day, and TEEACC was 2,014 ± 339 kcal/day; TEEACC was strongly correlated with TEEDLW (r = 0.87, p < 0.01) but significantly underestimated (–150 ± 183 kcal/day, p < 0.05). There was no significant difference in TEEPAQ and TEEDLW (–49 ± 284 kcal/day), while the range of difference seemed to be larger than TEEACC. PALDLW, PALACC, and PALPAQ were calculated to be 1.71 ± 0.17, 1.69 ± 0.16, and 1.78 ± 0.24, respectively. PALACC was strongly correlated with PALDLW (r = 0.71, p < 0.01), and there was no significant difference between the 2 values. PALPAQ was moderately correlated with PALDLW (r = 0.43, p < 0.01) but significantly overestimated. Predicted BMR was significantly lower than the BMR measured by indirect calorimetry (1,193 ± 186 vs. 1,262 ± 155 kcal/day, p < 0.01). Conclusions: The present ACC and questionnaire showed acceptable correlation of TEE and PAL compared with DLW method in elderly patients with T2DM. Systematic errors in estimating TEE may be improved by the better equation for predicting BMR.

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Physical activity and lipidomics in a population at high risk of type 2 diabetes mellitus

Journal of Sports Sciences ◽

10.1080/02640414.2020.1744836 ◽

2020 ◽

Vol 38 (10) ◽

pp. 1150-1160

Author(s):

Joseph Henson ◽

Charlotte L. Edwardson ◽

Melanie J. Davies ◽

Jason M.R. Gill ◽

Liam M. Heaney ◽

...

Keyword(s):

Physical Activity ◽

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

High Risk

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COVID-19 Lockdown and Changes of the Dietary Pattern and Physical Activity Habits in a Cohort of Patients with Type 2 Diabetes Mellitus

Nutrients ◽

10.3390/nu12082327 ◽

2020 ◽

Vol 12 (8) ◽

pp. 2327 ◽

Cited By ~ 5

Author(s):

María Belén Ruiz-Roso ◽

Carolina Knott-Torcal ◽

Diana C. Matilla-Escalante ◽

Alba Garcimartín ◽

Miguel A. Sampedro-Nuñez ◽

...

Keyword(s):

Physical Activity ◽

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Activity Level ◽

Food Craving ◽

Diet And Physical Activity ◽

Snack Consumption ◽

The Impact

The COVID-19 lockdown clearly affected the lifestyle of the population and entailed changes in their daily habits, which involved potential health consequences, especially on patients with Type 2 Diabetes Mellitus (T2DM). We aimed to examine the impact of the lockdown caused by COVID-19 pandemic on both nutrition and exercise habits, as well as the psychological effects in patients with T2DM, compared to their usual diet and physical activity level previous to the complete home confinement. We also intended to analyse any potential variables that may have influenced these lifestyle modifications. A Food Frequency Questionnaire (FFQ), Physical Activity Questionnaire (IPAQ), Food Craving Questionnaire-State (FCQ-S) and Food Craving Questionnaire-Trait (FCQ-T) were used. Our results showed an increase in vegetable, sugary food and snack consumption. An association between levels of foods cravings and snack consumption was also found. Data also showed a high percentage of physical inactivity before the COVID-19 lockdown, which was exacerbated during the home confinement. These findings emphasise the great importance to do further research with larger study samples to analyse and explore dietary habits and to develop public health policies to promote a healthy lifestyle in terms of diet and physical activity in these patients, especially after this strict period of lockdown.

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Estudio Transversal: Riesgo Cardiovascular en Diabetes Mellitus II según Score UKPDS en pacientes del Hospital José Carrasco Arteaga

Revista Médica del Hospital José Carrasco Arteaga ◽

10.14410/2020.12.3.ao.26 ◽

2020 ◽

Vol 12 (3) ◽

pp. 178-187

Author(s):

Paola Cristina Bacuilima Zhañay ◽

Andrea Catalina Ochoa Bravo

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Cardiovascular Risk ◽

High Risk ◽

Glycemic Control ◽

Diabetic Patients ◽

Clinical Records ◽

Very High

BACKGROUND: Type 2 Diabetes Mellitus (DM2) is a disease of great health and socioeconomic impact. Cardiovascular complications are the main cause of death in diabetic patients, for this reason the application of prevention strategies is important. The aim of the research was to determine the cardiovascular risk according to UKPDS Score in patients diagnosed with DM2, treated at Hospital José Carrasco Arteaga, Cuenca-Ecuador, from November 2918 to August 2019. METHODS:A descriptive, cross-sectional study was conducted with a sample of 118 patients diagnosed with DM2, treated at Hospital José Carrasco Arteaga, between November 2018 and August 2019. Clinical records were reviewed, information was collected on a form with all the variables of the UKPDS Score. Cardiovascular Risk Estimation (RCV) was carried out with the Risk Engine Calculator version 2.0 of the UKPDS Score. RESULTS: The female sex predominated in the study population. The age range went from 32 to 95 years old, the most frequent range of age was 55 to 59 years old (16.1%). The disease duration in 40% of the population was higher than 10 years. 42.4 %(n=50) presented SBP values ≥130mmHg. 75.4% of the sample had poor glycemic control, with glycosylated hemog-lobin levels higher than the normal range for each age group. The estimated 5-year CVR was low for most of the sample; while the 10 year CVR increased, especially for non-fatal CVD(high risk:21.25%) and for fatal (6.8%) and non-fatal(6.8%) AMI. CONCLUSION:Most of the patients had more than 10 years with DMII diagnosis. More than half of the sample had inadequate glycemic control. The CVR at 5 years was “low” for the majority of the population, both for AMI and CVD. The cardiovascular risk at 10 years was slightly higher for all entities, especially it increases for non-fatal CVD, to a “very high risk” of 21.2%, and the risk of AMI also increases to a “very high risk” of 6.8%. KEYWORDS: TYPE 2 DIABETES MELLITUS, CARDIOVASCULAR DISEASES, MYOCARDIAL INFARCTION, CEREBROVASCULAR STROKE

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Effect of intensive blood pressure control in patients with type 2 diabetes mellitus over 9 years of follow-up: A subgroup analysis of high-risk ACCORDION trial participants

Diabetes Obesity and Metabolism ◽

10.1111/dom.13248 ◽

2018 ◽

Vol 20 (6) ◽

pp. 1499-1502 ◽

Cited By ~ 11

Author(s):

Leo F. Buckley ◽

Dave L. Dixon ◽

George F. Wohlford ◽

Dayanjan S. Wijesinghe ◽

William L. Baker ◽

...

Keyword(s):

Diabetes Mellitus ◽

Blood Pressure ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

High Risk ◽

Pressure Control ◽

Trial Participants ◽

Intensive Blood Pressure

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Abstract P130: Risk Factors for Progression to Type 2 Diabetes Mellitus From Prediabetes

Circulation ◽

10.1161/circ.141.suppl_1.p130 ◽

2020 ◽

Vol 141 (Suppl_1) ◽

Author(s):

Margareta Hellgren ◽

Ulf Lindblad ◽

Bledar Daka

Keyword(s):

Physical Activity ◽

Diabetes Mellitus ◽

Risk Factors ◽

Insulin Resistance ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Family History ◽

Glucose Tolerance

Background and Aims: Individuals with prediabetes, impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT), have approximately 50% risk to develop type 2 diabetes mellitus (T2DM) within ten years. This paper examines risk factors for development of T2DM in individuals with prediabetes. Materials and Methods: A total of 2816 individuals were randomly selected and completed a careful physical examination and an oral glucose tolerance test. IFG and IGT was defined according to WHO. A representative sample of 1327 individuals were re-examined in a follow-up study after ten years. This study focuses on the participants who were diagnosed with prediabetes, IFG (n=67) and/or IGT (n=89) at baseline and who were re-examined at follow-up. Insulin resistance was estimated by HOMA-ir (Homeostatic Model Assessment for Insulin Resistance). Differences between the participants with prediabetes who developed T2DM and those who did not, were analyzed with general linear models and adjusted for age, sex and BMI. The risk to progress to T2DM in ten years was explored using binary logistic regression, adding the risk-factors one after another. Results: Of the 156 individuals with prediabetes 28% progressed to T2DM. Individuals who developed T2DM had higher BMI (α=3.2kg/m 2 , P<0.001), higher HbA1c (α=0.2 mmol/mol, P=0.047), higher C-reactive protein (α=3.3 mmol/L, P=0.040) and also significantly higher HOMAir (α=2.8, P<0.001) at base-line. The risk to develop T2DM increased in a step-wise manner in individuals with prediabetes when successively adding the risk-factors. Having a BMI ≥30kg/m 2 , a known family history for T2DM, HbA1c ≥37mmol/mol, HOMAir ≥2.8 and a low level of physical activity increased the risk to develop T2DM 5.6 times. Table 1. Conclusion: In individuals with prediabetes, those with additional risk-factors like obesity, HbA1c and HOMAir above mean values, family history for T2DM and a low level of physical activity require extra attention and intensive lifestyle interventions should be initiated.

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Diabetic Risk Score and Fasting Plasma Glucose Testing in the Screening for Type 2 Diabetes Mellitus Risk

International Journal of Pharmaceutical and Clinical Research ◽

10.25258/ijpcr.v9i6.8771 ◽

2017 ◽

Vol 9 (6) ◽

Author(s):

Techit Thavorasak ◽

Paphanin Kamkaen ◽

Araya Rattanasri ◽

Surapon Tangvarasittichai

Keyword(s):

Diabetes Mellitus ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

High Risk ◽

Risk Score ◽

Plasma Glucose ◽

Fasting Plasma Glucose ◽

Fasting Plasma ◽

Very High

Type 2 diabetes mellitus (T2DM) is a common metabolic disorder and one of the leading causes of morbidity and mortality in both developed and developing countries. Early recognition and intervention will be helpful in reducing the personal and financial cost of the disease. We used the diabetic risk score (DRS) and fasting plasma glucose test (FPGT) for identification the risk of T2DM. A total of 142 female participants were randomly participated in the present study. These participants were identified as 39 (27.5%) high risk (Gr-III) and 71 (50%) very high risk (Gr-IV) for T2DM groups according to the DRS. In addition with 13 (9.2%) and 2 (1.4%) were newly diagnosed as having HT and T2DM. Both HT and T2DM participants were older than the normal participants. BMI and WC were not significantly different in the comparison of T2DM with Non-T2DM and HT with Non-HT patients. The DRS would be practical to use as tool for T2DM risk screening while FPGT was used to identify impaired fasting glucose and T2DM onset. Then, we recommended FPGT for the individuals with high and very high DRS groups.

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