Look into the crystal ball: Can vivid images of the future enhance physical health?

2016 ◽  
Vol 23 (13) ◽  
pp. 1689-1698 ◽  
Author(s):  
Simon A Moss ◽  
Timothy C Skinner ◽  
Nektarios Alexi ◽  
Samuel G Wilson
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Positive Emotions ◽  
Future Research ◽  
Crystal Ball ◽  
The Future ◽  
Lifestyle Diseases ◽  
Images Of The Future

Many impulsive behaviors, unpleasant emotions, and misguided cognitions increase the incidence of type 2 diabetes and other conditions. This study tests the premise that such risk factors are inversely related to future clarity—the extent to which the future seems vivid and certain. Specifically, 211 participants completed the measures of future clarity and various determinants of health. Future clarity was positively associated with the inclination of participants to consume healthy food, abstain from cigarettes, participate in physical activity, and experience positive emotions. Future research should examine whether interventions designed to help individuals clarify and pursue their aspirations could stem lifestyle diseases.

Revisiting the Role of Physical Activity and Exercise in the Treatment of Type 2 Diabetes

2000 ◽  
Vol 25 (6) ◽  
pp. 466-491 ◽  
Author(s):  
Catrine E. Tudor-Locke ◽  
Rhonda C. Bell ◽  
Anita M. Myers
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cardiovascular Risk ◽  
Insulin Sensitivity ◽  
Glycemic Control ◽  
Cardiovascular Risk Factors ◽  
Treatment Modalities ◽  
Future Research

There is tremendous potential for improving glycemic control, insulin sensitivity, and cardiovascular risk factors through increased physical activity in individuals with Type 2 diabetes. The demonstrated effects of structured endurance exercise on select outcomes compare favourably with those of typical pharmacological treatment modalities. Adherence to these types of program is problematic, however. We know less about the expected effects of lifestyle-based physical activity. Preliminary results require further investigation, given the apparent acceptability of these programs in this population, however. The effects of resistance training on cardiovascular risk factors to date likely limit its application as an adjunctive therapy for individuals with Type 2 diabetes. The question is no longer "can exercise/physical activity benefit the individual with Type 2 diabetes?" The answer is yes. Future research needs to refine questions regarding type, dose, and magnitude of effects of physical activity (and its subcategory exercise) on glycemic control, insulin sensitivity, and on risk factors for cardiovascular disease within the context of program acceptability and feasibility. Key words: walking, obesity, glycemic control, insulin sensitivity, hypertension

Strategies to enhance compliance to physical activity for patients with insulin resistance

2007 ◽  
Vol 32 (3) ◽  
pp. 549-556 ◽  
Author(s):  
Alison Kirk ◽  
Pierpaolo De Feo
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Wearable Sensors ◽  
Physical Activity Promotion ◽  
Physical Activity Behaviour ◽  
Future Research ◽  
Evidence Based ◽  
Activity Promotion

The evidence that physical activity is an effective therapeutic tool in the management of insulin resistance and type 2 diabetes is well documented. Limited research has addressed how best to promote and maintain physical activity in these individuals. This paper explores strategies to enhance compliance to physical activity for patients with insulin resistance. Several evidence-based guidelines and reviews recommend that physical activity interventions are based on a valid theoretical framework. However, there is no evidence-based consensus on the best theory or the combination of theories to use. Motivational tools such as pedometers, wearable sensors measuring energy expenditure, and point of choice prompts appear to be effective at stimulating short-term substantial increases in physical activity, but further strategies to maintain physical activity behaviour change are required. Physical activity consultation has demonstrated effective physical activity promotion over periods of up to 2 years in people with type 2 diabetes. Future research should identify the longer term effects of this intervention and the effectiveness of different methods of delivery. Overall, there needs to be a lot more focus on this area of research. Without this, the abundance of research investigating the effects of physical activity on people with insulin resistance and type 2 diabetes is essentially redundant.

Physical activity less than the recommended amount may prevent the onset of major biological risk factors for cardiovascular disease: a cohort study of 198 919 adults

2018 ◽  
Vol 54 (4) ◽  
pp. 238-244 ◽  
Author(s):  
David Martinez-Gomez ◽  
Irene Esteban-Cornejo ◽  
Esther Lopez-Garcia ◽  
Esther García-Esquinas ◽  
Kabir P Sadarangani ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cardiovascular Disease ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Highly Active ◽  
Atherogenic Dyslipidaemia

ObjectivesWe examined the dose–response relationship between physical activity (PA) and incidence of cardiovascular disease (CVD) risk factors in adults in Taiwan.MethodsThis study included 1 98 919 participants, aged 18–97 years, free of CVD, cancer and diabetes at baseline (1997–2013), who were followed until 2016. At baseline, participants were classified into five PA levels: inactive’ (0 metabolic equivalent of task (MET)-h/week), ‘lower insufficiently active’ (0.1–3.75 MET-h/week), ‘upper insufficiently active’ (3.75–7.49 MET-h/week), ‘active’ (7.5–14.99 MET-h/week) and ‘highly active’ (≥15 MET-h/week]. CVD risk factors were assessed at baseline and at follow-up by physical examination and laboratory tests. Analyses were performed with Cox regression and adjusted for the main confounders.ResultsDuring a mean follow-up of 6.0±4.5 years (range 0.5–19 years), 20 447 individuals developed obesity, 19 619 hypertension, 21 592 hypercholesterolaemia, 14 164 atherogenic dyslipidaemia, 24 275 metabolic syndrome and 8548 type 2 diabetes. Compared with inactive participants, those in the upper insufficiently active (but not active) category had a lower risk of obesity (HR 0.92; 95% CI 0.88 to 0.95), atherogenic dyslipidaemia (0.96; 0.90 to 0.99), metabolic syndrome (0.95; 0.92 to 0.99) and type 2 diabetes (0.91; 0.86 to 0.97). Only highly active individuals showed a lower incidence of CVD risk factors than their upper insufficiently active counterparts.ConclusionCompared with being inactive, doing half the recommended amount of PA is associated with a lower incidence of several common biological CVD risk factors. Given these benefits, half the recommended amount of PA is an evidence based target for inactive adults.

scholarly journals Differing Contributions of Classical Risk Factors to Type 2 Diabetes in Multi-Ethnic Malaysian Populations

2018 ◽  
Vol 15 (12) ◽  
pp. 2813
Author(s):  
Noraidatulakma Abdullah ◽  
Nor Abdul Murad ◽  
John Attia ◽  
Christopher Oldmeadow ◽  
Mohd Kamaruddin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Family History ◽  
Characteristic Curve ◽  
Lifestyle Factors ◽  
Predictive Utility ◽  
Family History Of Diabetes ◽  
History Of

The prevalence of type 2 diabetes is escalating rapidly in Asian countries, with the rapid increase likely attributable to a combination of genetic and lifestyle factors. Recent research suggests that common genetic risk variants contribute minimally to the rapidly rising prevalence. Rather, recent changes in dietary patterns and physical activity may be more important. This nested case-control study assessed the association and predictive utility of type 2 diabetes lifestyle risk factors in participants from Malaysia, an understudied Asian population with comparatively high disease prevalence. The study sample comprised 4077 participants from The Malaysian Cohort project and included sub-samples from the three major ancestral groups: Malay (n = 1323), Chinese (n = 1344) and Indian (n = 1410). Association of lifestyle factors with type 2 diabetes was assessed within and across ancestral groups using logistic regression. Predictive utility was quantified and compared between groups using the Area Under the Receiver-Operating Characteristic Curve (AUC). In predictive models including age, gender, waist-to-hip ratio, physical activity, location, family history of diabetes and average sleep duration, the AUC ranged from 0.76 to 0.85 across groups and was significantly higher in Chinese than Malays or Indians, likely reflecting anthropometric differences. This study suggests that obesity, advancing age, a family history of diabetes and living in a rural area are important drivers of the escalating prevalence of type 2 diabetes in Malaysia.

scholarly journals Study on health risk factors as a basis to implement programs that promote a nutritional culture in students of the la Sabana University

2021 ◽  
pp. 89-94
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Blood Chemistry ◽  
Monitoring And Control ◽  
The Metabolic Syndrome

Background. Nowadays the importance of lifestyles in the prevention of type 2 diabetes and the metabolic syndrome has been largely accertained. Objective. The purpose of our work is to implement programs that promote a nutritional culture in adolescents and young adults of the La Sabana University. Methods. The methodology entailed, after the corresponding informed consent, taking measures of the triceps and supraescapular skinfolds, waist circumference, body mass index (BMI), lean mass, and fat mass. Fasting blood samples were also taken to quantify cholesterol, triglycerides, high density lipoprotein (HDL) and low density lipoprotein (LDL). Results. The results obtained show that of the 165 students, 10.3% were underweight, 13.93% were overweight and 0.6% were obese. With regards to gender, 4.8% of the men and 9% of the women were overweight, 3% of the men and 7.2% of the women were underweight, and 0.6% of the women were obese. The blood chemistry showed that 30% had hypercholesterolemia, 18% hypertriglyceridemia, 17% reported low HDL levels and 67% reported high LDL levels. Of all the cases studied, 40% are at risk of a metabolic syndrome. 60% claimed not to practice any physical activity - especially women who reported 44.70%. Conclusions. These findings have allowed us at the institution to implement a culture of healthy habits. The have also allowed us to identify students with risk factors for type 2 diabetes and metabolic syndrome. This is why the cardiometabolic monitoring and control based on healthy eating and physical activity are important.

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.

Abstract P057: Clusters of Cardiovascular Risk Factors Predict Incidence of Type 2 Diabetes in Men and Women: A Swedish Population-based Study

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Charlotte A Larsson ◽  
Bledar Daka ◽  
Margareta I Hellgren ◽  
Maria C Eriksson ◽  
Lennart Råstam ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Population Based ◽  
Population Based Study ◽  
Men And Women ◽  
Self Rated Health

Introduction: Clusters of metabolic variables and their effects on incidence of type 2 diabetes have been studied previously; however, little is known about the effects on diabetes from risk factor clusters including lifestyle and self-rated health. Hypothesis: We assessed the hypothesis that clusters of common cardiovascular risk factors, including lifestyle and self-rated health, can predict development of type 2 diabetes in men and women, respectively. Methods: In 2002-2005, 2816 men and women, 30-74 years, were randomly selected from two municipalities in southwestern Sweden and assessed with regard to cardiovascular/metabolic risk factors within the Skaraborg Project (76% participation). Participants performed an OGTT, had blood samples drawn, had anthropometric measurements and blood pressure taken, and answered validated questionnaires about e.g. leisure-time physical activity (with four answer alternatives from intensive to sedentary) and self-rated health (with five alternatives from excellent to very poor). Using the same protocol, 1332 participants from the baseline survey where re-examined in 2011-2014. After excluding those with diabetes at baseline, 1268 participants were included in this prospective population-based study. Results: Factor analysis (using varimax rotation) identified significant loadings (≥0.40) on the following three identical factors in men and women: the metabolic factor , comprising HOMA-ir, WHR, systolic blood pressure, and apolipoprotein B-to-A1 ratio; the vitality factor , comprising physical activity and self-rated health; and the addiction factor , comprising smoking and alcohol consumption. After a mean follow-up of 9.7±1.4 years, 76 cases of diabetes were identified; 46 in men and 30 in women. In a logistic regression analysis adjusted for all principal components, age, and educational level, the metabolic factor significantly predicted type 2 diabetes in both men (OR: 3.3, CI: 2.3-5.0) and women (OR: 3.5, CI: 2.2-5.6). Furthermore, a predictive effect of the vitality factor was also seen in women (OR: 1.8, CI: 1.2-2.9), but not in men (OR: 1.1, CI: 0.8-1.6), whereas the addiction factor had no effect in either men or women. Conclusions: This is to our knowledge the first time principle components of cardiovascular risk factors, including both metabolic and lifestyle variables, have been used to predict incidence of type 2 diabetes. The gender difference observed with regard to the combined impact of self-rated health and physical activity are novel and indicates a mechanism beside the metabolic syndrome that warrants further gender-specific exploration in future studies.

Metabolic Syndrome and Ethnic Groups Second edition

2021 ◽  
Author(s):  
Mohammadhosain Afrand ◽  
Mohammad Afkhami-Ardekani ◽  
Ahmad Shojaoddiny-Ardekani ◽  
Azita Ariaeinejad
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Preventive Measures ◽  
Lifestyle Modification ◽  
Treatment Strategies ◽  
Subsequent Development ◽  
Metabolic Risk

Metabolic syndrome is defined as the co-occurrence of metabolic risk factors for both type 2 diabetes and cardiovascular disease (i.e. abdominal obesity, hyperglycemia, dyslipidemia, and hypertension). Indeed, metabolic syndrome is an important risk factor for subsequent development of type 2 diabetes and/or CVD. Thus, the key clinical implication of a diagnosis of metabolic syndrome is the identification of a patient who needs aggressive lifestyle modification focused on weight reduction and increased physical activity. Multiple different phenotypes and ethnic-specific values for waist circumference are included within metabolic syndrome, with indications for differing treatment strategies. This book covers several aspects of metabolic syndrome, including its definition, diagnostic criteria, preventive measures, and treatment, as well as the possible association between ethnicity and the occurrence of metabolic syndrome.

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