Depression and risk of type 2 diabetes: the potential role of metabolic factors.

The aim of the present study was to evaluate the interaction between depressive symptoms and metabolic dysregulations as risk factors for type 2 diabetes. The sample comprised of 2525 adults who participated in a baseline and a follow-up assessment over a 4.5-year period in the Emotional Health and Wellbeing Study (EMHS) in Quebec, Canada. A two-way stratified sampling design was used, on the basis of the presence of depressive symptoms and metabolic dysregulation (obesity, elevated blood sugar, high blood pressure, high levels of triglycerides and decreased high-density lipoprotein). A total of 87 (3.5%) individuals developed diabetes. Participants with both depressive symptoms and metabolic dysregulation had the highest risk of diabetes (adjusted odds ratio=6.61, 95% confidence interval (CI): 4.86-9.01), compared with those without depressive symptoms and metabolic dysregulation (reference group). The risk of diabetes in individuals with depressive symptoms and without metabolic dysregulation did not differ from the reference group (adjusted odds ratio=1.28, 95% CI: 0.81-2.03), whereas the adjusted odds ratio for those with metabolic dysregulation and without depressive symptoms was 4.40 (95% CI: 3.42-5.67). The Synergy Index (SI=1.52; 95% CI: 1.07-2.17) suggested that the combined effect of depressive symptoms and metabolic dysregulation was greater than the sum of individual effects. An interaction between depression and metabolic dysregulation was also suggested by a structural equation model. Our study highlights the interaction between depressive symptoms and metabolic dysregulation as a risk factor for type 2 diabetes. Early identification, monitoring and a comprehensive management approach of both conditions might be an important diabetes prevention strategy.

In adult patients with type 1 diabetes healthy lifestyle associates with a better cardiometabolic profile.

BACKGROUND/AIMS: Little is known about lifestyle habits of adults with type 1 diabetes (T1D) and their association with cardiometabolic risk (CMR) factors. The aims of the present study were to determine the prevalence of adults with T1D who adopted a healthy lifestyle and to explore the association between a healthy lifestyle and the cardiometabolic profile. METHODS AND RESULTS: This is a cross-sectional analysis of 115 adults with T1D. Participants wore a motion sensor and completed a 3-day food record. The following CMR factors were assessed: body mass index, waist circumference, body composition (iDXA), glycated hemoglobin, lipids and blood pressure. Insulin resistance was estimated (estimated glucose disposal rate). Participants were classified according to the number of healthy lifestyle habits adopted (ranging from 0 to 3): regular physical activity (physical activity level ≥1.7), good diet quality (Canadian Healthy Eating Index score >80) and none-smoking status. The proportion of participants who adopted 3, 2, 1 or 0 lifestyle habits were 11%, 30%, 37%, and 23%, respectively. As the number of healthy lifestyle habits adopted increased, participants had significantly lower body mass index, waist circumference, body fat, total cholesterol, non-HDL-cholesterol, triglycerides and systolic blood pressure (p < 0.05). In addition, a trend for lower estimated insulin resistance was observed (p = 0.06). For each increase of one healthy lifestyle habit, body mass index decreased by 1.9 kg/m(2), waist circumference by 4.0 cm for men and 4.8 cm for women and trunk fat by 3.6% for men and 4.1% for women. CONCLUSIONS: These results suggest the importance of a healthy lifestyle among adults with T1D in order to control CMR factors.

Glycaemic control and self-management behaviours in Type 2 diabetes: results from a 1-year longitudinal cohort study.

AIM: To better understand the associations between changes in self-management behaviours and glycaemic control. METHODS: We conducted a prospective observational study of 295 adult patients with Type 2 diabetes evaluated at baseline, 6 and 12 months. Four self-management behaviours were evaluated using the Summary of Diabetes Self-Care Activities instrument, which assesses healthy diet, physical activity, medication taking and self-monitoring of blood glucose. Using hierarchical linear regression models, we tested whether changes in self-management behaviours were associated with short-term (6-month) or long-term (12-month) changes in glycaemic control, after controlling for demographic and clinical characteristics. RESULTS: Improved diet was associated with a decrease in HbA1c level, both at 6 and 12 months. Improved medication taking was associated with short-term improvement in glycaemic control, while increased self-monitoring of blood glucose frequency was associated with a 12-month improvement in HbA1c . Completely stopping exercise after being physically active at baseline was associated with a rise in HbA1c level at 6-month follow-up. Interaction analysis indicated that a healthy diet benefitted all participant subgroups, but that medication taking was associated with glycaemic control only for participants living in poverty and more strongly for those with lower educational levels. Finally, a higher self-monitoring of blood glucose frequency was associated with better glycaemic control only in insulin-treated participants. CONCLUSIONS: Even after adjusting for potential confounders (including baseline HbA1c ), increased frequency of healthy diet, medication taking and self-monitoring of blood glucose were associated with improved HbA1c levels. These self-management behaviours should be regularly monitored to identify patients at risk of deterioration in glycaemic control. Barriers to optimum self-management should be removed, particularly among socio-economically disadvantaged populations.

Accuracy of energy expenditure estimation by activity monitors differs with ethnicity.

The aim of this project is to explore the accuracy of 2 activity monitors (SenseWear Armband & Actical) to estimate energy expenditure during rest and light to moderate intensity exercises in 2 ethnic groups. 18 Caucasian and 20 Black adults (age: 26.8±5.2 years; body mass index: 23.9±3.0 kg/m(2)) wore the 2 devices simultaneously during 3 standardised activities: 30-min rest, 45-min of treadmill at 40% of their V˙O2peak and 45-min of stationary cycling at 50% of their V˙O2peak. Energy estimated with the 2 devices was compared to indirect calorimetry measurements. Both devices overestimated energy expenditure during rest (SenseWear: 36% in Black vs. 16% in Caucasian; Actical: 26% vs. 11%, p<0.01 between groups) and treadmill (SenseWear: 50% vs. 25%; Actical: 67% vs. 32%, p<0.01 between groups). Both devices significantly underestimated energy expenditure during stationary cycling (SenseWear: 24% vs. 26%; Actical: 58% vs. 70%, p=NS between groups). Equations used to estimate energy expenditure from accelerometer data is less precise among Black adults than Caucasian adults. Ethnic-specific formulas are probably required.

Good vs. poor self-rated diabetes control: differences in cardiovascular risk and self-care activities.

AIM: The aim of this study was to assess differences in cardiovascular risk and performance of self-care activities in people who rated their diabetes control as good or poor. METHODS: A sub-sample of 77 participants who took part in the Evaluation of Diabetes Treatment telephone interview were invited into a clinic to complete a series of laboratory examinations. Self-rated diabetes control was validated using the following laboratory markers: HbA1c, total cholesterol/HDL cholesterol ratio and LDL cholesterol. Differences in blood pressure and BMI were also assessed. Finally, all participants also completed the Summary of Self-Care activities questionnaire. RESULTS: Those people who rated their diabetes control as fair or poor had a significantly higher BMI, HbA1c levels, total cholesterol/HDL-cholesterol ratio and systolic blood pressure. When asked about self-care activities in the past week, those people who reported their diabetes control was fair/poor had spent significantly fewer days following a general diet and exercising. CONCLUSIONS: People with poor self-rated diabetes control have unfavourable cardiovascular risk and decreased performance of self-care activities.

Satiety quotient linked to food intake and changes in anthropometry during menopause: a MONET Study.

OBJECTIVES: It is unknown whether the satiety quotient (SQ) differs across the menopausal transition, and whether changes in SQ are related to changes in anthropometric/body composition variables. The objective of this study was to evaluate the changes in SQ and its association with energy intake and changes in anthropometric/body composition variables across the menopausal transition. METHODS: At baseline, 102 premenopausal women (aged 49.9 ± 1.9 years, body mass index 23.3 ± 2.2 kg/m(2)) took part in a 5-year observational, longitudinal study. Body composition (DXA), appetite (visual analog scales), energy and macronutrient intakes (ad libitum lunch and 7-day food diary) were assessed annually. The SQ (mm/100 kcal) was calculated at 60 and 180 min post-breakfast consumption. RESULTS: Overall, the SQ increased at years 3 and 4 (p = 0.01-0.0001), despite no significant differences between menopausal status groups. Lower fullness, prospective food consumption and mean SQ values predicted overall increases in lunch energy and macronutrient intakes (p = 0.04-0.01), whereas only prospective food consumption and fullness SQ predicted energy intake and carbohydrate intake, respectively, when assessed with food diaries (p = 0.01). Delta SQs were negatively correlated with changes in waist circumference (p = 0.03-0.02), whereas delta SQs were positively (p = 0.04) and negatively (p = 0.02) associated with delta fat mass between years 1 and 5, and years 4 and 5, respectively. CONCLUSION: These results suggest that variations in SQ across the menopausal transition are related to energy and macronutrient intakes and coincide with changes in body composition and waist circumference.

Are bedtime nutritional strategies effective in preventing nocturnal hypoglycaemia in patients with type 1 diabetes?

Hypoglycaemia remains the major limiting factor for adequate diabetes control for patients with type 1 diabetes (T1D), especially during the night-time. Although nutritional strategies for nocturnal hypoglycaemia (NH) prevention are regularly suggested in clinical practice, there is no evidence-based recommendation for the usefulness and optimal composition of a bedtime snack. The aim of this narrative review was to analyse the current state of knowledge on nutritional strategies to prevent NH in individuals with T1D. A literature search was conducted, using PubMed and Medline (1946 to 2013); 16 studies were retrieved. Overall, the level of evidence was low. Results indicated that a calibrated bedtime snack based on bedtime blood glucose (BG) level could be effective to reduce NH occurrence for patients treated with human or animal insulin (short-acting combined with lente, ultralente and/or intermediate-acting insulin), but there is no evidence for patients treated with insulin analogues as part of multiple daily injections or insulin pump regimen. Some evidence suggests that including uncooked cornstarch or alanine in the bedtime snack composition could provide some benefits for the prevention of NH. Individualized recommendations of a bedtime snack intake for patients or situations at high risk for NH (long standing diabetes, hypoglycaemia unawareness, prior physical activity, alcohol consumption, bedtime BG close to hypoglycaemia threshold) appear as a prudent recommendation. On the basis of the available evidence, a bedtime snack cannot be recommended systematically but it might be useful if prescribed in an individualized fashion; further research is needed to evaluate these strategies.

Effects of the menopausal transition on dietary intake and appetite: a MONET Group Study.

BACKGROUND/OBJECTIVE: The purpose of this study was to investigate changes in dietary intake and appetite across the menopausal transition. SUBJECTS/METHODS: This was a 5-year observational, longitudinal study on the menopausal transition. The study included 94 premenopausal women at baseline (age: 49.9±1.9 years; BMI: 23.3±2.3 kg/m2). Body composition (dual-energy X-ray absorptiometry), appetite (visual analogue scale), eating frequency, energy intake (EI) and macronutrient composition (7-day food diary and buffet-type meal) were measured annually. RESULTS: Repeated-measures analyses revealed that total EI and carbohydrate intake from food diary decreased significantly over time in women who became postmenopausal by year 5 (P>0.05) compared with women in the menopausal transition. In women who became postmenopausal by year 5, fat and protein intakes decreased across the menopausal transition (0.05>P<0.01). Although a decrease in % fat intake was observed during the menopausal transition (P<0.05), this variable was significantly increased in the postmenopausal years (P<0.05). Spontaneous EI and protein intake also declined over time and were higher in the years preceding menopause onset (P<0.05). Desire to eat, hunger and prospective food consumption increased during the menopausal transition and remained at this higher level in the postmenopausal years (0.05>P<0.001). Fasting fullness decreased across the menopausal transition (P<0.05). CONCLUSION: These results suggest that menopausal transition is accompanied with a decrease in food intake and an increase in appetite.

Effects of the menopausal transition on energy expenditure: a MONET Group Study.

OBJECTIVES: Factors that influence weight gain during the menopausal transition are not fully understood. The purpose of this study was to investigate changes in energy expenditure (EE) across the menopausal transition. METHODS: In all, 102 premenopausal women (age: 49.9 ± 1.9 years; body mass index: 23.3 ± 2.2 kg/m(2)) were followed for 5 years. Body composition (dual-energy X-ray absorptiometry), physical activity EE (accelerometer), resting EE and thermic effect of food (indirect calorimetry) were measured annually. RESULTS: Total EE decreased significantly over time in postmenopausal women (P<0.05), which was mostly due to a decrease in physical activity EE (P<0.05). Although average resting EE remained stable over time in postmenopausal women, a significant increase, over the 5-year period, was noted in women who were in the menopausal transition by year 5 (P<0.05). Finally, the time spent in moderate physical activity decreased and the time spent in sedentary physical activity increased during the menopausal transition (P<0.05). CONCLUSION: These results suggest that menopausal transition is accompanied with a decline in EE mainly characterized by a decrease in physical activity EE and a shift to a more sedentary lifestyle.

Carbohydrate counting accuracy and blood glucose variability in adults with type 1 diabetes.

AIMS: Carbohydrate counting is an established approach used by patients with type 1 diabetes to improve their glycemic control. The aims of this study were to evaluate, in real life conditions, the accuracy of meal carbohydrate estimate and its impact on glycemic variability. METHODS: In this cross-sectional study, we observed the ability of 50 adults (48% women) with type 1 diabetes (age: 42.7±11.1 years); diabetes duration: 21.4±12.7 years; HbA1c: 7.2±1.2% (60±10 mmol/mol) to accurately estimate carbohydrates by analyzing 72-h food records and their corresponding 72-h blood glucose excursions using a continuous glucose monitor. RESULTS: The mean meal carbohydrate difference, between the patients' estimates and those assessed by a dietitian using a computerized analysis program, was 15.4±7.8 g or 20.9±9.7% of the total CHO content per meal (72.4±34.7 g per meal). Sixty-three percent of the 448 meals analyzed were underestimated. Greater differences in CHO's estimates predicted higher glycemic variability, as measured by the MAGE index and glucose standard deviation, and decreased time with glucose values between 4 and 10 mmol/L (R²=0.110, 0.114 and 0.110, respectively; P<0.05). CONCLUSION: Inaccurate carbohydrate counting is frequent and associated with higher daily blood glucose variability in adults with type 1 diabetes.

Types of smokers in a community sample of individuals with Type 2 diabetes: a latent class analysis.

AIMS: Despite the detrimental effects of smoking on their health, a high number of adults with Type 2 diabetes continue to smoke. Identifying distinct types of smokers within this population could help tailor and target intervention programmes. This study examined whether smokers with Type 2 diabetes could be classified into different profiles based on smoking habits, socio-economic characteristics and lifestyle factors. METHODS: A sample of adults with self-reported diabetes was selected from random-digit dialing. Analyses included 383 participants with Type 2 diabetes who were current smokers. Information related to smoking, socio-economic status, health and lifestyle was collected by phone interview at baseline and 1 year later. Latent class analysis was used to identify subgroups of smokers. RESULTS: We uncovered three meaningful classes of smokers: class 1, long-time smokers with long-standing diabetes (n = 105); class 2, heavy smokers with deprived socio-economic status, poor health and unhealthy lifestyle characteristics (n = 105); class 3, working and active smokers who were more recently diagnosed with diabetes (n = 173). Members of class 2 were significantly more likely to be disabled and depressed at baseline and 1 year later compared with other classes. CONCLUSIONS: Different profiles of smokers exist among adults with Type 2 diabetes, each suggesting different cessation treatment needs. Distinguishing between these types of smokers may enable clinicians to tailor their approach to smoking cessation.

Anthropometric, metabolic, dietary and psychosocial profiles of underreporters of energy intake: a doubly labeled water study among overweight/obese postmenopausal women--a Montreal Ottawa New Emerging Team study.

BACKGROUND/OBJECTIVES: To analyze the anthropometric, metabolic, psychosocial and dietary profiles of underreporters, identified by the doubly labeled water technique, in a well-characterized population of overweight and obese postmenopausal women. SUBJECTS/METHODS: The study population consisted of 87 overweight and obese sedentary postmenopausal women (age: 57.7+/-4.8 years, body mass index: 32.4+/-4.6 kg/m(2)). Subjects were identified as underreporters based on the energy intake to energy expenditure ratio of <0.80. We measured (1) body composition (by dual-energy X-ray absorptiometry), (2) visceral fat (by computed tomography), (3) blood profile, (4) resting blood pressure, (5) peak oxygen consumption (VO(2 peak)), (6) total energy expenditure, (7) muscle strength and (8) psychosocial and dietary profiles. RESULTS: Out of 87 subjects, 50 (57.5%) were identified as underreporting subjects in our cohort. Underreporters showed higher levels of body mass index, fat mass, visceral fat, hsC-reactive protein, perceived stress and percentage of energy from protein, as well as lower levels of VO(2 peak), dietary intake of calcium, fiber, iron, vitamin B-1 and 6, as well as servings of fruit and vegetables. Logistic regression analysis showed that fat mass, odd ratio 1.068 (95% confidence interval 1.009-1.130) and perceived stress, odd ratio 1.084 (95% confidence interval 1.011-1.162) were independent characteristics of underreporters. CONCLUSIONS: Results from this study show significant differences in anthropometric, metabolic, psychosocial and dietary profiles between underreporters and non-underreporters in our cohort of overweight and obese postmenopausal women.

Teaching subjects with type 2 diabetes how to incorporate sugar choices into their daily meal plan promotes dietary compliance and does not deteriorate metabolic profile.

OBJECTIVE: To determine whether teaching free-living subjects with type 2 diabetes how to incorporate added sugars or sweets into their daily meal plan results in a greater consumption of calories (fat or sugar) and deteriorates their glycemic or lipid profiles but improves their perceived quality of life. RESEARCH DESIGN AND METHODS: In an 8-month randomized controlled trial, 48 free-living subjects with type 2 diabetes were taught either a conventional (C) meal plan (no concentrated sweets) or one permitting as much as 10% of total energy as added sugars or sweets (S). Mean individual nutrient intake was determined using the average of six 24-h telephone recalls per 4 months. Metabolic control and quality of life were evaluated every 2 months. Quality of life was assessed using the Medical Outcome Survey and the Diabetes Quality of Life questionnaire. RESULTS: The S group did not consume more calories (fat or sugar) and in fact ate significantly less carbohydrate (-15 vs. 10 g) and less starch (-7 vs. 8 g) and had a tendency to eat fewer calories (-77 vs. 81 kcal) than the C group. Weight remained stable, and there was no evidence that consuming more sugar worsened metabolic profile or improved their perceived quality of life. CONCLUSIONS: Giving individuals with type 2 diabetes the freedom to include sugar in their daily meal plan had no negative impact on dietary habits or metabolic control. Health professionals can be reassured and encouraged to teach the new "sugar guidelines," because doing so may result in a more conscientious carbohydrate consumption.

Optimizing insulin delivery: assessment of three strategies in intensive diabetes management.

OBJECTIVE: To compare three intensive management strategies with respect to metabolic control (glycated haemoglobin, preprandial blood glucose, lipid profile, body weight, hypoglycaemic episodes) and psycho-social adaptation (quality of life, self-efficacy, stress and perceived complexity). RESEARCH DESIGN AND METHODS: Fifteen adults with type 1 diabetes completed this 1-year, randomized, prospective, cross-over study. The three treatment strategies were categorized according to flexibility with insulin self-adjustments as follows: Simplified (SIMP) = meal plan based on food exchanges with no self-adjustments of insulin for food, exercise and stress; Qualitative (QUAL) = meal plan based on food exchanges with qualitative adjustment of insulin for food, exercise and stress; Quantitative (QUANT) = meal plan using carbohydrate counting with quantitative adjustment of insulin for food and qualitative adjustment for exercise and stress. All three strategies allowed for adjustments of insulin for preprandial blood glucose and the option of adjusting diet for exercise. All subjects followed each strategy for 3.5 months. Subjects kept detailed log sheets where they recorded preprandial blood glucose, insulin dosages, food intake, activity and stress level at least four times/day. The psycho-social aspects were determined with validated questionnaires that were completed before and after each strategy. RESULTS: There were no statistically significant differences in metabolic control, quality of life and self-efficacy between the three strategies. The mean (+/- s.e.) for HbA1 levels (normal < 8.5%) were: Baseline: 10.9+/-0.06 and End of SIMP = 9.7+/-0.03; QUAL = 9.5+/-0.04; QUANT = 10.2+/-0.04. Body weight and serum lipid levels did not change significantly. The frequency of severe hypoglycaemic episodes for the entire study was 20 episodes/100 patient-years. Perceived complexity of treatment strategy increased (p < 0.0001) from SIMP to QUANT (least to most flexible). Although the majority of subjects (n = 11) were following a strategy similar to SIMP prior to entering the study, 12 subjects chose to continue with QUAL, three with QUANT and none with SIMP at the end of the study. CONCLUSIONS: These results indicate that a strategy that allows for flexibility of self-adjustments of insulin and is not very complex (such as QUAL) may be the strategy of choice for intensive management programmes.

Impact of receiving blood cholesterol test results on dietary change.

INTRODUCTION: The study objective was to determine the impact of receiving results of a blood cholesterol test on changes in dietary behaviors among individuals participating in a Health Risk Appraisal Program. METHODS: This randomized trial of maintenance employees at six hospitals included two groups: Group 1 received their blood cholesterol test results at the pretest; Group 2 received results only at the posttest (16-20 weeks later). The pretest interview included (1) a 24-hour dietary recall; (2) an evaluation of dietary behaviors and suggestions on how to change; (3) height, weight, and blood cholesterol measurement. Five hundred employees participated, and 429 eligible employees completed both pretest and posttest interviews. RESULTS: Blood cholesterol levels decreased by 4.8% (P < .001) and saturated fat intake decreased by 7.4% (P < .05). Regression analyses indicated that individuals more likely to have lowered saturated fat intake had higher pretest saturated fat intakes, had a family history of high blood cholesterol, and were light-maintenance employees (P < .05); no other variables were associated (receiving blood cholesterol test results, previous blood cholesterol test, pretest blood cholesterol levels, personal history of heart disease, BMI, age, gender, tobacco/alcohol use). Among subjects with normal cholesterol levels, those not receiving blood test results reduced saturated fat intake more than those receiving test results; both groups had similar saturated fat intakes (> 12%) greater than recommended intake (< 10%). CONCLUSIONS: Screening programs should include an assessment of saturated fat intake as screening for blood cholesterol may provide normocholesterolemic subjects with a false sense of security.

Impact of two cardiovascular disease reduction education programs varying in the type of nutrition information provided.

The purpose of the study was to determine the impact of two worksite cardiovascular nutrition education programs. Program 1 focused on information related to the skills needed to change dietary behaviours (1 session, 45 minutes). Program 2 focused on information related to skills as well as cardiovascular risk factors (1 session, 60 minutes). The study sample consisted of office employees at three worksites. The pretest consisted of questions pertaining to: frequency of consumption of high fat foods, knowledge related to the risk and skills components of the program, and self-report of family and personal history of cardiovascular disease. Of employees who completed the pretest, 67% (55/82) in Program 1, 88% (46/52) in Program 2, and 86% (30/35) in the control group completed the post-test (six weeks after the programs). The results of regression analysis indicated that participants of Program 1 (skills only) reduced their frequency of consumption of high fat foods (p < 0.01); no other variables were significant. Nutrition education programs for the prevention of cardiovascular disease should focus on information related to skills when limited time is available.