How effective are lifestyle changes in the prevention of type 2 diabetes mellitus?

The Prevalence and Risk Factors of Type 2 Diabetes Mellitus (DMT2) in a Semi-Urban Saudi Population

(1) Background: Diabetes mellitus is a common health problem in Saudi Arabia, causing a huge burden for individuals, families, and communities. The objectives of the current study were to determine the prevalence and risk factors of type 2 diabetes mellitus among a semi-urban population of Saudi Arabia. (2) Research methods: The research design was cross-sectional, and the research was conducted in five primary health care centers (PHCC) in Majmaah, Saudi Arabia. The sample size was calculated as 353. A pre-tested questionnaire was used to collect data after obtaining ethical approval. Blood samples were taken to assess glucose levels and other variables. SPSS version 21 was used to analyze data. (3) Results: The prevalence of type 2 diabetes mellitus was 34.6%. The disease was more prevalent among the older respondents compared with the younger age groups (44.6% versus 15.6%). We found that females acquire the disease at a slightly higher rate than males (34.9% versus 34.2%), but this difference is not statistically significant. The sociodemographic risk factors of the disease were as follows: old age (44%), business and private occupation (38.5%), divorced or widowed (56.3%), and low income (42.4%). The health behaviors factors were as follows: overweight or obese status (42.3%), high triglycerides (TG) (43.4%), low high-density lipoprotein (HDL) (37.3%), and high total cholesterol (23.7%). There was a statistically significant difference in these risk factors between patients with and without diabetes. (4) Conclusion: The prevalence of type 2 diabetes mellitus among the semi-urban population of Saudi Arabia is high. The disease is more prevalent among elderly respondents and is associated with obesity, high TG, low HDL, and high total cholesterol.

The Health Benefits of Exercise in Overweight and Obese Patients

More than 30% of U.S. adults are obese or overweight. A program of regular physical activity is recommended as part of an effective lifestyle intervention for weight loss and weight management. However, more than 40% of adults do not engage in sufficient physical activity to realize these beneficial effects on body weight. Physicians may encounter many barriers to counseling physical activity, such as lack of knowledge or self-efficacy for counseling patients about physical activity. Obese individuals may be reluctant to exercise because of weight stigma, physique anxiety, and other factors; therefore, referral to a weight management specialist or clinical exercise physiologist can be helpful in facilitating exercise and assisting in achieving a clinically meaningful weight loss. Exercise has many benefits on physical and mental health and well-being that go well beyond weight loss, and it is for these reasons that exercise is particularly important for overweight and obese individuals.

Web-Based Interventions Alone or Supplemented with Peer-Led Support or Professional Email Counseling for Weight Loss and Weight Maintenance in Women from Rural Communities: Results of a Clinical Trial

Objective. This trial compared the effectiveness of a web-based only (WO) intervention with web-based supplemented by peer-led discussion (WD) or professional email counseling (WE) across 3 phases to achieve weight loss and weight maintenance in women from underserved rural communities. Methods. 301 women (BMI of 28-45 kg/m²) randomly assigned to groups participated in guided weight loss (baseline to 6 months), guided weight loss and maintenance (6 to 18 months), and self-managed weight maintenance (18 to 30 months). Results. Retention was 88.7%, 76.5%, and 71.8% at 6, 18, and 30 months, respectively. Intent-to-treat analyses demonstrated no group differences in change in weight within any phases. At 6 months, observed mean (SD) weight loss was 5.1 (6.0) kg in WO, 4.1 (5.6) kg in WD, and 6.0 (6.3) kg in WE, with 42%, 38%, and 51%, respectively, meeting ≥ 5% weight loss. These proportions dropped by a third after phase 2 with no further change during phase 3. Conclusion. Web-based interventions assisted women from rural communities in achieving 6-month weight loss, with weight regain by half at 30 months. No group differences were potentially due to the robust nature of the web-based intervention. Trial Registration. This trial is registered with ClinicalTrials.gov NCT01307644.

The functional and clinical outcomes of exercise training following a very low energy diet for severely obese women: study protocol for a randomised controlled trial

Background

Clinical practice guidelines globally recommend lifestyle modification including diet and exercise training as first-line treatment for obesity. The clinical benefits of exercise training in adults with obesity is well-documented; however, there is no strong evidence for the effectiveness of exercise training for weight loss in class II and class III obesity. The purpose of the randomised controlled trial described in this protocol article is to examine the effect of exercise training, in addition to a very low energy diet (VLED), in clinically severe obese women for changes in body composition, physical function, quality of life, and markers of cardiometabolic risk.

Methods/Design

Sixty women, aged 18–50 years with a body mass index (BMI) greater than 34.9 kg.m² and at least one obesity-related co-morbidity, will be recruited for this 12-month study. Participants will be randomised to either exercise plus energy restriction (n = 30), or energy restriction alone (n = 30). All participants will follow an energy-restricted individualised diet incorporating a VLED component. The exercise intervention group will also receive exercise by supervised aerobic and resistance training and a home-based exercise programme totalling 300 minutes per week. Primary outcome measures include body composition and aerobic fitness. Secondary outcome measures include: physical function, cardiometabolic risk factors, quality of life, physical activity, and mental health. All outcome measures will be conducted at baseline, 3, 6 and 12 months.

Discussion

Previous research demonstrates various health benefits of including exercise training as part of a healthy lifestyle at all BMI ranges. Although clinical practice guidelines recommend exercise training as part of first-line treatment for overweight and obesity, there are few studies that demonstrate the effectiveness of exercise in class II and class III obesity. The study aims to determine whether the addition of exercise training to a VLED provides more favourable improvements in body composition, physical function, quality of life, and markers of cardiometabolic risk for women with clinically severe obesity, compared to VLED alone.

Trial registration

Australian New Zealand Clinical Trials Registry (ACTRN12611000694910). Date registered: 4 July 2011

Behavioural Risk Factors in Mid-Life Associated with Successful Ageing, Disability, Dementia and Frailty in Later Life: A Rapid Systematic Review

BACKGROUND

Smoking, alcohol consumption, poor diet and low levels of physical activity significantly contribute to the burden of illness in developed countries. Whilst the links between specific and multiple risk behaviours and individual chronic conditions are well documented, the impact of these behaviours in mid-life across a range of later life outcomes has yet to be comprehensively assessed. This review aimed to provide an overview of behavioural risk factors in mid-life that are associated with successful ageing and the primary prevention or delay of disability, dementia, frailty and non-communicable chronic conditions.

METHODS

A literature search was conducted to identify cohort studies published in English since 2000 up to Dec 2014. Multivariate analyses and a minimum follow-up of five years were required for inclusion. Two reviewers screened titles, abstracts and papers independently. Studies were assessed for quality. Evidence was synthesised by mid-life behavioural risk for a range of late life outcomes.

FINDINGS

This search located 10,338 individual references, of which 164 are included in this review. Follow-up data ranged from five years to 36 years. Outcomes include dementia, frailty, disability and cardiovascular disease. There is consistent evidence of beneficial associations between mid-life physical activity, healthy ageing and disease outcomes. Across all populations studied there is consistent evidence that mid-life smoking has a detrimental effect on health. Evidence specific to alcohol consumption was mixed. Limited, but supportive, evidence was available relating specifically to mid-life diet, leisure and social activities or health inequalities.

CONCLUSIONS

There is consistent evidence of associations between mid-life behaviours and a range of late life outcomes. The promotion of physical activity, healthy diet and smoking cessation in all mid-life populations should be encouraged for successful ageing and the prevention of disability and chronic disease.

Real-data comparison of data mining methods in prediction of diabetes in iran

OBJECTIVES

Diabetes is one of the most common non-communicable diseases in developing countries. Early screening and diagnosis play an important role in effective prevention strategies. This study compared two traditional classification methods (logistic regression and Fisher linear discriminant analysis) and four machine-learning classifiers (neural networks, support vector machines, fuzzy c-mean, and random forests) to classify persons with and without diabetes.

METHODS

The data set used in this study included 6,500 subjects from the Iranian national non-communicable diseases risk factors surveillance obtained through a cross-sectional survey. The obtained sample was based on cluster sampling of the Iran population which was conducted in 2005-2009 to assess the prevalence of major non-communicable disease risk factors. Ten risk factors that are commonly associated with diabetes were selected to compare the performance of six classifiers in terms of sensitivity, specificity, total accuracy, and area under the receiver operating characteristic (ROC) curve criteria.

RESULTS

Support vector machines showed the highest total accuracy (0.986) as well as area under the ROC (0.979). Also, this method showed high specificity (1.000) and sensitivity (0.820). All other methods produced total accuracy of more than 85%, but for all methods, the sensitivity values were very low (less than 0.350).

CONCLUSIONS

The results of this study indicate that, in terms of sensitivity, specificity, and overall classification accuracy, the support vector machine model ranks first among all the classifiers tested in the prediction of diabetes. Therefore, this approach is a promising classifier for predicting diabetes, and it should be further investigated for the prediction of other diseases.

Childhood obesity: nurses' role in addressing the epidemic

Obesity is a significant long-term health problem that is common among children and adolescents in Western countries. Being overweight or obese (extremely overweight) can contribute to type 2 diabetes in childhood and increase the risk of cardiovascular disease in adulthood. Primary prevention of obesity prevents the development of serious secondary complications in adulthood. Nurses can help parents and children by providing nutritional advice and, through weight management programmes, offer strategies for decreasing caloric intake and increasing physical activity. Nurses' actions should always take a whole-family approach because it is challenging for obese children to alter their dietary or physical habits if not supported by their families. Nurses should work with all members of the multidisciplinary team in addressing childhood obesity as it is a major health issue with long-term mobidities.

Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people

BACKGROUND

The World Health Organization (WHO) estimates that the number of obese or overweight individuals worldwide will increase to 1.5 billion by 2015. Chronic diseases associated with overweight or obesity include diabetes, heart disease, hypertension and stroke.

OBJECTIVES

To assess the effects of interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people.

SEARCH METHODS

We searched several electronic databases, including CENTRAL, MEDLINE, EMBASE, CINAHL, LILACS and PsycINFO, through 25 May 2011. We also searched clinical trials registries to identify studies. We scanned reference lists of included studies and relevant systematic reviews.

SELECTION CRITERIA

Studies were included if they were randomized controlled trials or quasi-randomized controlled trials that evaluated interactive computer-based weight loss or weight maintenance programs in adults with overweight or obesity. We excluded trials if the duration of the intervention was less than four weeks or the loss to follow-up was greater than 20% overall.

DATA COLLECTION AND ANALYSIS

Two authors independently extracted study data and assessed risk of bias. Where interventions, control conditions, outcomes and time frames were similar between studies, we combined study data using meta-analysis.

MAIN RESULTS

We included 14 weight loss studies with a total of 2537 participants, and four weight maintenance studies with a total of 1603 participants. Treatment duration was between four weeks and 30 months. At six months, computer-based interventions led to greater weight loss than minimal interventions (mean difference (MD) -1.5 kg; 95% confidence interval (CI) -2.1 to -0.9; two trials) but less weight loss than in-person treatment (MD 2.1 kg; 95% CI 0.8 to 3.4; one trial). At six months, computer-based interventions were superior to a minimal control intervention in limiting weight regain (MD -0.7 kg; 95% CI -1.2 to -0.2; two trials), but not superior to infrequent in-person treatment (MD 0.5 kg; 95% -0.5 to 1.6; two trials). We did not observe consistent differences in dietary or physical activity behaviors between intervention and control groups in either weight loss or weight maintenance trials. Three weight loss studies estimated the costs of computer-based interventions compared to usual care, however two of the studies were 11 and 28 years old, and recent advances in technology render these estimates unlikely to be applicable to current or future interventions, while the third study was conducted in active duty military personnel, and it is unclear whether the costs are relevant to other settings. One weight loss study reported the cost-effectiveness ratio for a weekly in-person weight loss intervention relative to a computer-based intervention as USD 7177 (EUR 5678) per life year gained (80% CI USD 3055 to USD 60,291 (EUR 2417 to EUR 47,702)). It is unclear whether this could be extrapolated to other studies. No data were identified on adverse events, morbidity, complications or health-related quality of life.

AUTHORS' CONCLUSIONS

Compared to no intervention or minimal interventions (pamphlets, usual care), interactive computer-based interventions are an effective intervention for weight loss and weight maintenance. Compared to in-person interventions, interactive computer-based interventions result in smaller weight losses and lower levels of weight maintenance. The amount of additional weight loss, however, is relatively small and of brief duration, making the clinical significance of these differences unclear.

An electronic health record-enabled obesity database

BACKGROUND

The effectiveness of weight loss therapies is commonly measured using body mass index and other obesity-related variables. Although these data are often stored in electronic health records (EHRs) and potentially very accessible, few studies on obesity and weight loss have used data derived from EHRs. We developed processes for obtaining data from the EHR in order to construct a database on patients undergoing Roux-en-Y gastric bypass (RYGB) surgery.

METHODS

Clinical data obtained as part of standard of care in a bariatric surgery program at an integrated health delivery system were extracted from the EHR and deposited into a data warehouse. Data files were extracted, cleaned, and stored in research datasets. To illustrate the utility of the data, Kaplan-Meier analysis was used to estimate length of post-operative follow-up.

RESULTS

Demographic, laboratory, medication, co-morbidity, and survey data were obtained from 2028 patients who had undergone RYGB at the same institution since 2004. Pre-and post-operative diagnostic and prescribing information were available on all patients, while survey laboratory data were available on a majority of patients. The number of patients with post-operative laboratory test results varied by test. Based on Kaplan-Meier estimates, over 74% of patients had post-operative weight data available at 4 years.

CONCLUSION

A variety of EHR-derived data related to obesity can be efficiently obtained and used to study important outcomes following RYGB.

Effects of chronic calorie restriction or dietary resveratrol supplementation on insulin sensitivity markers in a primate, Microcebus murinus

The prevalence of diabetes and hyperinsulinemia increases with age, inducing metabolic failure and limiting lifespan. Calorie restriction (CR) without malnutrition delays the aging process, but its long-term application to humans seems difficult. Resveratrol (RSV), a dietary polyphenol, appears to be a promising CR mimetic that can be easily administered in humans. In this work, we hypothesized that both CR and RSV impact insulin sensitivity in a non-human primate compared to standard-fed control (CTL) animals. Four- to five-year-old male grey mouse lemurs (Microcebus murinus) were assigned to three dietary groups: a CTL group, a CR group receiving 30% fewer calories than the CTL and a RSV group receiving the CTL diet supplemented with RSV (200 mg·day(-1)·kg(-1)). Insulin sensitivity and glycemia were assessed using an oral glucose tolerance test (OGTT) and the homeostasis model assessment of insulin resistance (HOMA-IR index) evaluation after 21 or 33 months of chronic treatment. Resting metabolic rate was also measured to assess the potential relationships between this energy expenditure parameter and insulin sensitivity markers. No differences were found after a 21-month period of treatment, except for lower glucose levels 30 min after glucose loading in CR animals. After 33 months, CR and RSV decreased glycemia after the oral glucose loading without decreasing fasting blood insulin. A general effect of treatment was observed on the HOMA-IR index, with an 81% reduction in CR animals and 53% in RSV animals after 33 months of treatment compared to CTL. Chronic CR and dietary supplementation with RSV affected insulin sensitivity by improving the glucose tolerance of animals without disturbing their baseline insulin secretion. These results suggest that both CR and RSV have beneficial effects on metabolic alterations, although these effects are different in amplitude between the two anti-aging treatments and potentially rely on different metabolic changes.

Long-term outcomes from a multiple-risk-factor diabetes trial for Latinas: ¡Viva Bien!

Latinas with type 2 diabetes are in need of culturally sensitive interventions to make recommended longterm lifestyle changes and reduce heart disease risk. To test the longer-term (24-month) effects of a previously successful, culturally adapted, multiple-healthbehavior- change program, ¡Viva Bien!, 280 Latinas were randomly assigned to usual care or ¡Viva Bien!. Treatment included group meetings to promote a culturally adapted Mediterranean diet, physical activity, supportive resources, problem solving, stress-management practices, and smoking cessation. ¡Viva Bien! participants achieved and maintained some lifestyle improvements from baseline through 24 months, including significant improvements for psychosocial outcomes, fat intake, social-environmental support, body mass index, and hemoglobin A1c. Effects tended to diminish over time. The ¡Viva Bien! multiple-behavior program was effective in improving and maintaining some psychosocial, behavioral, and biological outcomes related to heart health across 24 months for Latinas with type 2 diabetes, a high-risk, underserved population (ClinicalTrials.gov number, NCT00233259).

The therapeutics of lifestyle management on obesity

The global incidence and prevalence of obesity continue to increase, with the fastest rate of increase in the developing world. Obesity is associated with many chronic diseases including type 2 diabetes, cardiovascular disease and some cancers. Weight loss can reduce the risk of developing these diseases and can be achieved by means of surgery, pharmacotherapy and lifestyle interventions. Lifestyle interventions for prevention and treatment of obesity include diet, exercise and psychological interventions. All lifestyle interventions have a modest but significant effect on weight loss, but there is little evidence to indicate that any one intervention is more effective. There is evidence of an additive effect for adjunct therapy, and the combination of diet, exercise and behavioural interventions appears to be most effective for both the prevention and treatment of obesity.

Prediabetes: the importance of early identification and intervention

Prediabetes is a state of abnormal glucose homeostasis characterized by the presence of impaired fasting glucose, impaired glucose tolerance, or both. Individuals with prediabetes are at increased risk for type 2 diabetes, compared with individuals with normal glucose values (normal fasting plasma glucose, < 100 mg/dL [5.6 mmol/L]). The increased risk for cardiovascular disease in prediabetes is multifactorial, with etiologies including insulin resistance, hyperglycemia, dyslipidemia, hypertension, systemic inflammation, and oxidative stress. The preferred treatment is intensive lifestyle management and aggressive pharmacologic therapies directed toward individual coronary heart disease risk factors. The use of antihyperglycemic agents in this setting is a topic of intense debate. This review discusses the pathophysiology of prediabetes and its clinical implications, highlighting the importance of early identification and intervention.

Exercise prescription and the patient with type 2 diabetes: a clinical approach to optimizing patient outcomes

PURPOSE

To review the current recommendations for physical activity in type 2 diabetes mellitus (T2DM) and propose methods to optimize compliance, reduce the pharmaceutical burden, and improve the general health and well-being of patients with T2DM.

DATA SOURCES

PubMed, SportDiscus, Ovid MEDLINE, Psychinfo, Web of Science, LexisNexis, and EBM reviews.

CONCLUSIONS

T2DM is a condition in which physical activity has been documented to improve patient outcomes, yet research has noted that healthcare professionals inadequately address this issue, resulting in physical activity being an underutilized therapy.

IMPLICATIONS FOR PRACTICE

An exercise prescription consists of mode (type), frequency, intensity, duration, and progression. Determining the appropriate mode depends upon patient preference and safety issues regarding the state of T2DM or other conditions. Frequency, intensity, and duration are specific to the type of activity and should be tailored to the patient's abilities to safely perform the activity. Finally, the health professional addresses periodic progression in order to maintain the exercise stimulus needed to promote continued health improvements and prevent "plateauing." In this article, on the basis of the current scientific research, we propose recommendations that enable healthcare professionals to advocate for their patients with T2DM by offering safe and effective treatment options.

Short-term weight change and fluctuation as risk factors for type 2 diabetes in Finnish male smokers

Risk of weight change and fluctuation for type 2 diabetes was studied in a prospective study among 20,952 Finnish male smokers aged 50-69 years. Baseline data on lifestyle and medical history were collected, and height and weight measured. Weight was measured thrice after the baseline, 1 year apart. Weight change was defined as the slope of the regression line fitted to the four measurements and weight fluctuation as the root-mean-square-error deviation from this line. Incident cases of diabetes were identified from a national medication reimbursement register; 535 cases up to 9 years' follow-up. The Cox proportional hazards model served to estimate relative risk [RR, 95% confidence interval (CI)]. Weight gain and fluctuation associated with higher risk for diabetes, multivariate RR = 1.77, 95% CI 1.44-2.17, for weight gain of at least 4 kg compared with those of weight change less than 4 kg, and RR = 1.64, 95% CI 1.24-2.17 in the highest weight fluctuation quintile compared to the lowest. These RRs remained similar when weight change and fluctuation were adjusted for each other. Large weight fluctuation increased the risk of diabetes both in men who gained weight (>or=4 kg), had stable weight (+/- <4 kg), and lost weight (>or=4 kg); RR = 2.17, 95% CI 1.60-2.94, RR = 1.47, 95% CI 1.14-1.91, and RR = 2.04, 95% CI 1.47-2.83, respectively, compared to those with stable weight and moderate fluctuation. Short-term weight gain and large weight fluctuation are independent risk factors for diabetes.

Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes

Background

We present a potentially useful alternative approach based on support vector machine (SVM) techniques to classify persons with and without common diseases. We illustrate the method to detect persons with diabetes and pre-diabetes in a cross-sectional representative sample of the U.S. population.

Methods

We used data from the 1999-2004 National Health and Nutrition Examination Survey (NHANES) to develop and validate SVM models for two classification schemes: Classification Scheme I (diagnosed or undiagnosed diabetes vs. pre-diabetes or no diabetes) and Classification Scheme II (undiagnosed diabetes or pre-diabetes vs. no diabetes). The SVM models were used to select sets of variables that would yield the best classification of individuals into these diabetes categories.

Results

For Classification Scheme I, the set of diabetes-related variables with the best classification performance included family history, age, race and ethnicity, weight, height, waist circumference, body mass index (BMI), and hypertension. For Classification Scheme II, two additional variables--sex and physical activity--were included. The discriminative abilities of the SVM models for Classification Schemes I and II, according to the area under the receiver operating characteristic (ROC) curve, were 83.5% and 73.2%, respectively. The web-based tool-Diabetes Classifier was developed to demonstrate a user-friendly application that allows for individual or group assessment with a configurable, user-defined threshold.

Conclusions

Support vector machine modeling is a promising classification approach for detecting persons with common diseases such as diabetes and pre-diabetes in the population. This approach should be further explored in other complex diseases using common variables.

Randomized clinical trials of weight loss maintenance: a review

The problem of overweight and obesity has reached epidemic proportions in the United States and globally, and the high prevalence is due in part to the recidivism associated with weight loss treatment. Approximately one-third of lost weight is often regained in the first year after treatment and, at times, continues. Because a plethora of comorbid diseases are associated with obesity, in particular, cardiovascular disease, hypertension, and hyperlipidemia, clinicians and researchers have attempted to find useful strategies for maintaining weight loss. This review presents the findings from 42 randomized clinical trials of weight loss maintenance from 1984 through 2007 using interventions that include (1) the Internet, (2) strategies after a very low calorie diet, (3) pharmacotherapy, (4) behavioral strategies, (5) physical activity, and (6) alternative strategies. The results of the reviewed trials revealed that treatment with orlistat or sibutramine combined with dietary modification, caffeine or protein supplementation, consuming a diet lower in fat, adherence to physical activity routines, prolonged contact with participants, problem-solving therapy, and the alternative treatment of acupressure were efficacious in reducing weight regain after weight loss treatment. The limitations of some studies may reduce the robustness of their findings, and future studies are necessary to replicate and support these results so that individuals are able to maintain weight loss and retain the health benefits associated with a lower weight.