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Effect of a family and interdisciplinary intervention to prevent T2D: randomized clinical trial.
Vargas-Ortiz, K, Lira-Mendiola, G, Gómez-Navarro, CM, Padilla-Estrada, K, Angulo-Romero, F, Hernández-Márquez, JM, Villa-Martínez, AK, González-Mena, JN, Macías-Cervantes, MH, Reyes-Escogido, ML, et al
BMC public health. 2020;20(1):97
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In individuals at high risk of type 2 diabetes, lifestyle interventions rather than medication have been more successful in preventing development of the disease, however the benefits of lifestyle strategies diminishes over time due to possible adherence issues. Prolonged lifestyle changes may be affected by lack of family support, but research on family support during lifestyle changes in individuals prior to diabetes is lacking. This parallel randomised control trial of 122 patients with prediabetes and 101 of their family members aimed to assess the impact of family supported diet and exercise changes compared to self-motivation on individuals with prediabetes. At 6 months, body measurements and markers of prediabetes improved in both groups. Lipids were significantly improved in the group with family support compared to having no support. At 12 months there were a high number of dropouts due to lack of patient interest. Benefits shown at 6 months in both groups were only maintained or improved upon with family support and the lipid profile of the individual intervention group actually worsened in comparison to when participants entered the trial. After 12 months the incidence rate of type 2 diabetes was similar in both groups. Individuals with prediabetes who had family support whilst undergoing a diet and exercise regime were more successful at maintaining improvements of factors contributing to diabetes, compared to individuals without support. However this did not affect the occurrence of type 2 diabetes. Clinicians could use this paper to communicate the importance of family support during lifestyle changes in patients at high risk of developing type 2 diabetes, although close monitoring may be required to ensure compliance.
Abstract
BACKGROUND Lifestyle changes can reduce the risk of T2D; however, no study has evaluated the effect of a lifestyle intervention involving patients´ family. The aim of this study was to compare the impact of an interdisciplinary family (FI) Vs individual intervention (II) on glucose metabolism, insulin resistance (IR), pancreatic β-cell function and cardiovascular risk markers in patients with prediabetes, as well as to measure the impact on their families' metabolic risk. METHODS Randomized Clinical Trial (RCT) to compare the impact of FI and II on IR and pancreatic β-cell function in subjects with prediabetes. There were 122 subjects with prediabetes (and 101 family members) randomized to FI or II. Data were collected in 2015-2016 and analyzed in 2017-2018. FI group had the support of their family members, who also received personalized diet and exercise recommendations; patients and their family members attended monthly a lifestyle enhancement program. II group received personalized diet and exercise recommendations. The follow-up was for 12 months. Glucose, IR, pancreatic β-cell function and secondary outcomes (body composition and lipid profile) were assessed at baseline, 6 and 12 months. RESULTS FI group improved area under the glucose curve (AUC) (from 18,597 ± 2611 to 17,237 ± 2792, p = 0.004) and the Matsuda index (from 3.5 ± 2.3 to 4.7 ± 3.5, p = 0.05) at 12 months. II group improved Disposition Index (from 1.5 ± 0.4 to 1.9 ± 0.73, p < .0001) at 12 months. The improvements achieved in weight and lipids at 6 months, were lost in II group at 12 moths, whereas in FI persisted. Adherence up to 12 months was not different between the study groups (FI 56% Vs II 60%). CONCLUSIONS FI intervention was more effective by improving glucose AUC, insulin sensitivity and lipid profile, besides that, metabolic risk in family members of the FI group was maintained, while the risk of II group was increased. TRIAL REGISTRATION This study was retrospectively registered at clinicaltrials.gov on December 15, 2015 (NTC026365646).
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Long-term effects of a three-component lifestyle intervention on emotional well-being in women with Polycystic Ovary Syndrome (PCOS): A secondary analysis of a randomized controlled trial.
Jiskoot, G, Dietz de Loos, A, Beerthuizen, A, Timman, R, Busschbach, J, Laven, J
PloS one. 2020;15(6):e0233876
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Polycystic Ovary Syndrome (PCOS) is a common endocrine disorder affecting women in their reproductive years. The condition is often associated with higher rates of depression and anxiety, particularly with a Body Mass Index (BMI) of >30. As weight-loss has shown to improve a host of symptoms experienced in PCOS, the authors sought to investigate whether weight-loss would also lead to a reduction in depressive symptoms. This secondary analysis of a longitudinal, randomised trial of 155 women, compared a combined lifestyle intervention of diet advice, eating behaviour, exercise and standardised Cognitive Behaviour Therapy (CBT) to standard advice for weight reduction. Over a 12-months the chosen lifestyle interventions demonstrated a sustained improvement in self-assessed depression scores, though independent of weight-loss. However, weight-loss itself was closely linked with improved body image and self-esteem. Additional monitoring of hormones (androgens, insulin, cortisol) and calculations for insulin sensitivity (HOMA-IR ) did not show any direct link with depressive scores. This study affirms the benefit of integrative lifestyle approaches on emotional well-being in women with PCOS. Practitioners might find it of interest that improvements in emotional well-being can occur independent of weight loss in individuals experiencing depressive symptoms with PCOS.
Abstract
Many women with Polycystic Ovary Syndrome (PCOS) report high depression rates. The relationship between PCOS and these high depression rates is unclear. Two-component lifestyle interventions have revealed short-term effects on depression scores in this group of women. In general, 3-component interventions including diet, exercise, and cognitive behavioral therapy (CBT) are more effective in the long-term to improve emotional well-being. This has not yet been studied in women with PCOS. This study examined the effect of 20 CBT lifestyle (LS) sessions combined with a healthy diet and physical therapy with or without 9 months additional feedback through Short Message Service (SMS) via mobile phone, compared to care as usual (CAU, involving advice to lose weight). In this secondary analysis, 155 women with PCOS and a BMI above 25 kg/m2 were eligible. Depression scores decreased significantly in the LS programme compared to CAU (P = 0.045). In both the LS programme without SMS (P = 0.036) and the LS programme with SMS (P = 0.011) depression scores decreased while no change was observed in CAU (P = 0.875). Self-esteem scores improved significantly in the LS programme compared to CAU (P = 0.027). No differences in body image scores were observed in LS participants compared to CAU (P = 0.087), although body image improved significantly in both the LS without SMS (P = 0.001) and with SMS (P = 0.008) study arms. We found no significant mediating role by androgens in the relationship between LS participants and emotional well-being. Only weight-loss mediated the relationship between LS and self-esteem. To conclude, a three-component lifestyle intervention programme with or without additional SMS resulted in significant improvements in depression and self-esteem compared to CAU, in women with PCOS, obesity, and a wish to achieve a pregnancy. Testosterone, androstenedione, DHEA, insulin, HOMA-IR, and cortisol did not mediate this effect. Weight loss mediated the effects on self-esteem but not on depression and body-image. This suggests that lifestyle treatment independent of weight loss can reduce depression and body-image, but both lifestyle treatment and weight loss can improve self-esteem. Thus, a three-component lifestyle intervention based on CBT could prove successful in improving mood in women with PCOS who are overweight or obese and attempting to become pregnant.
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Lifestyle and vascular risk effects on MRI-based biomarkers of Alzheimer's disease: a cross-sectional study of middle-aged adults from the broader New York City area.
Mosconi, L, Walters, M, Sterling, J, Quinn, C, McHugh, P, Andrews, RE, Matthews, DC, Ganzer, C, Osorio, RS, Isaacson, RS, et al
BMJ open. 2018;8(3):e019362
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Alzheimer’s disease (AD) is the most common form of dementia, affecting nearly 34 million people worldwide. It has been estimated that one in every three cases of AD may be attributable to diet and lifestyle factors. The aim of this study was to investigate the effects of lifestyle and vascular-related risk factors for AD. Researchers studied the brain scans of 116 healthy adults aged 30-60 years. They collected information on factors related to lifestyle, such as diet, physical activity and intellectual enrichment. They also looked at markers for vascular risk such as body mass index (BMI), cholesterol and homocysteine, as well as cognitive function. The researchers found that a Mediterranean-style diet and good insulin sensitivity were both associated with a healthier brain structure. A better score for intellectual enrichment and lower BMI were both associated with better cognition. They concluded that adopting a Mediterranean-style diet and maintaining a healthy weight might reduce the risk of developing AD.
Abstract
OBJECTIVE To investigate the effects of lifestyle and vascular-related risk factors for Alzheimer's disease (AD) on in vivo MRI-based brain atrophy in asymptomatic young to middle-aged adults. DESIGN Cross-sectional, observational. SETTING Broader New York City area. Two research centres affiliated with the Alzheimer's disease Core Center at New York University School of Medicine. PARTICIPANTS We studied 116 cognitively normal healthy research participants aged 30-60 years, who completed a three-dimensional T1-weighted volumetric MRI and had lifestyle (diet, physical activity and intellectual enrichment), vascular risk (overweight, hypertension, insulin resistance, elevated cholesterol and homocysteine) and cognition (memory, executive function, language) data. Estimates of cortical thickness for entorhinal (EC), posterior cingulate, orbitofrontal, inferior and middle temporal cortex were obtained by use of automated segmentation tools. We applied confirmatory factor analysis and structural equation modelling to evaluate the associations between lifestyle, vascular risk, brain and cognition. RESULTS Adherence to a Mediterranean-style diet (MeDi) and insulin sensitivity were both positively associated with MRI-based cortical thickness (diet: βs≥0.26, insulin sensitivity βs≥0.58, P≤0.008). After accounting for vascular risk, EC in turn explained variance in memory (P≤0.001). None of the other lifestyle and vascular risk variables were associated with brain thickness. In addition, the path associations between intellectual enrichment and better cognition were significant (βs≥0.25 P≤0.001), as were those between overweight and lower cognition (βs≥-0.22, P≤0.01). CONCLUSIONS In cognitively normal middle-aged adults, MeDi and insulin sensitivity explained cortical thickness in key brain regions for AD, and EC thickness predicted memory performance in turn. Intellectual activity and overweight were associated with cognitive performance through different pathways. Our findings support further investigation of lifestyle and vascular risk factor modification against brain ageing and AD. More studies with larger samples are needed to replicate these research findings in more diverse, community-based settings.
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Lipid accumulation product and visceral adiposity index are associated with dietary patterns in adult Americans.
Mazidi, M, Gao, HK, Kengne, AP
Medicine. 2018;97(19):e0322
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Centrally stored body fat, or visceral adipose tissue, is associated with a higher risk of cardiovascular disease, metabolic syndrome and certain types of cancer. Higher levels of fats in the blood (triglycerides and cholesterol) have also been associated with the same conditions. This large cross-sectional study (NHANES data set) aimed to examine the association between central body fat and blood lipids, with dietary patterns. Three different dietary patterns were examined: calorie dense diets (diets high in carbohydrates, sugars and fats); nutrient dense diets (diets high in vitamins, minerals and fibre) and healthy fat diets (diets high in mono- and poly-unsaturated fatty acids). The study found that there were significant associations between calorie dense diets and increased central body fat and blood lipids. There was also significant associations between nutrient dense diets and lower levels of central body fat and blood lipids. The results for the healthy fats diet were less conclusive, although they were associated with lower levels of blood lipids.
Abstract
In the present study, we aimed to examine the association between lipid accumulation product (LAP) and visceral adiposity index (VAI) with dietary pattern (DP) in the US adults. Participants of the National Health and Nutrition Examination Survey (NHANES) with data available on dietary intake from 2005 to 2010 were included. DPs were derived by principal component analysis. We applied analysis of covariance and multivariable-adjusted linear regressions accounting for the masked variance and utilizing the proposed weighting methodology. The analytical sample comprised 18,318 participants (mean age = 45.8 years), of whom 48.3% (n = 8607) were men with no age difference by gender (P = .126). The first DP was representative of a diet rich in carbohydrate and sugar, total fat and saturated fatty acid (SFA), high-caloric dieatry pattern; the second DP was highly loaded with vitamins, minerals and fiber (nutrient-dense dietary patten), and the third DP was mainly representative of high dietary polyunsaturated fatty acids (PUFAs) and monounsaturated fatty acids (MUFAs) (healthy fat DP). The adjusted (age, sex, race, physical activity, smoking, C-reactive protein) mean of LAP, VAI and glucose homeostasis indices increased across increasing quarters of the first DP score (all P < .001), while across increasing score of the second DP, the adjusted mean of LAP, VAI, glucose homeostasis indices decreased (all P < .001). Findings were similar in adjusted linear regressions models. Our findings support that affordable measurements, such as VAI and LAP, could be good alternative surrogate markers of visceral fat. They are also significantly related to DPs in same line as with glucose/insulin homeostasis and anthropometric indices.
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Association between plasma fatty acids and inflammatory markers in patients with and without insulin resistance and in secondary prevention of cardiovascular disease, a cross-sectional study.
Bersch-Ferreira, ÂC, Sampaio, GR, Gehringer, MO, Torres, EAFDS, Ross-Fernandes, MB, da Silva, JT, Torreglosa, CR, Kovacs, C, Alves, R, Magnoni, CD, et al
Nutrition journal. 2018;17(1):26
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It is known that people with cardiovascular disease (CVD) have increased inflammation and raised levels of circulating inflammatory molecules. The presence of insulin resistance is thought to increase these levels, as are certain fatty acids coming from dietary fats. The aims of this cross-sectional study were to compare the levels of inflammatory biomarkers in patients with CVD with and without insulin resistance, and to evaluate the possible link between the blood levels of fatty acids and inflammatory biomarkers among these patients. The authors concluded that the CVD patients with insulin resistance had a higher concentration of some inflammatory molecules in the blood than those without insulin resistance. They also observed that saturated fatty acids were linked to higher levels of inflammatory molecules in the blood, while unsaturated fatty acids correlated with lower levels.
Abstract
BACKGROUND Proinflammatory biomarkers levels are increased among patients with cardiovascular disease, and it is known that both the presence of insulin resistance and diet may influence those levels. However, these associations are not well studied among patients with established cardiovascular disease. Our objective is to compare inflammatory biomarker levels among cardiovascular disease secondary prevention patients with and without insulin resistance, and to evaluate if there is any association between plasma fatty acid levels and inflammatory biomarker levels among them. METHODS In this cross-sectional sub-study from the BALANCE Program Trial, we collected data from 359 patients with established cardiovascular disease. Plasma fatty acids and inflammatory biomarkers (interleukin (IL)-1β, IL-6, IL-8, IL-10, IL-12, high sensitive C-reactive protein (hs-CRP), adiponectin, and tumor necrosis factor (TNF)-alpha) were measured. Biomarkers and plasma fatty acid levels of subjects across insulin resistant and not insulin resistant groups were compared, and general linear models were used to examine the association between plasma fatty acids and inflammatory biomarkers. RESULTS Subjects with insulin resistance had a higher concentration of hs-CRP (p = 0.002) and IL-6 (p = 0.002) than subjects without insulin resistance. Among subjects without insulin resistance there was a positive association between stearic fatty acid and IL-6 (p = 0.032), and a negative association between alpha-linolenic fatty acid and pro-inflammatory biomarkers (p < 0.05). Among those with insulin resistance there was a positive association between monounsaturated fatty acids and arachidonic fatty acid and adiponectin (p < 0.05), and a negative association between monounsaturated and polyunsaturated fatty acids and pro-inflammatory biomarkers (p < 0.05), as well as a negative association between polyunsaturated fatty acids and adiponectin (p < 0.05). Our study has not found any association between hs-CRP and plasma fatty acids. CONCLUSIONS Subjects in secondary prevention for cardiovascular disease with insulin resistance have a higher concentration of hs-CRP and IL-6 than individuals without insulin resistance, and these inflammatory biomarkers are positively associated with saturated fatty acids and negatively associated with unsaturated fatty acids.
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Association between muscle strength and type 2 diabetes mellitus in adults in Korea: Data from the Korea national health and nutrition examination survey (KNHANES) VI.
Lee, MR, Jung, SM, Bang, H, Kim, HS, Kim, YB
Medicine. 2018;97(23):e10984
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The incidence of type 2 diabetes is increasing worldwide. This study aimed to identify the association between muscle strength and type 2 diabetes in Korean adults. The researchers measured handgrip strength along with markers of glucose sensitivity, insulin sensitivity and inflammation in each of the participants. People with type 2 diabetes and those with insulin resistance had a significantly lower handgrip strength than those without type 2 diabetes or insulin resistance. The authors concluded that further studies should be carried out to determine whether improving muscle strength might help to prevent type 2 diabetes.
Abstract
Diabetes mellitus (DM) is a significant chronic disease, and health burden from DM is increasing. Recently, studies on the relationship between handgrip strength, which is a measuring tool for muscle strength, and type 2 DM were published. However, the results have been conflicting. In addition, few studies that used data from adults in Korea have been conducted. Thus, this study aimed to identify the association between handgrip strength as well as type 2 DM and insulin resistance in adults using data from the Korea National Health and Nutrition Examination Survey (KNHANES) 2014 to 2015. Inflammation is a condition affecting the muscle strength of individuals with type 2 DM; therefore, its mediating effects were also examined.We included 8208 participants aged between 19 and 80 years who had undergone a handgrip test and had received information about type 2 DM. General linear and binary logistic regression models were used to examine the association between handgrip strength and type 2 DM variables. In addition, mediation analysis was conducted to estimate the role of inflammation in the relationship between handgrip strength and type 2 DM.After adjusting for age, sex, education, alcohol consumption, lifetime smoking, obesity, and aerobic physical activity, handgrip strength was inversely associated with fasting glucose, HbA1c, and fasting insulin levels as well as the homeostasis model assessment of insulin resistance (HOMA-IR) score. Multivariable logistic regression analyses showed that handgrip strength was significantly inversely associated with type 2 DM and insulin resistance. The high-sensitivity C-reactive protein (hs-CRP), an inflammation-related biomarker, mediated approximately 10% of the association between handgrip strength and type 2 DM.Using large, well-defined, nationally representative cross-sectional data on adults in Korea, we found that handgrip strength, which is an indicator of muscle strength, was associated with type 2 DM.
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Glucotypes reveal new patterns of glucose dysregulation.
Hall, H, Perelman, D, Breschi, A, Limcaoco, P, Kellogg, R, McLaughlin, T, Snyder, M
PLoS biology. 2018;16(7):e2005143
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One in 10 individuals is affected by diabetes, a condition involving abnormal regulation of blood glucose. Currently, diabetes is assessed using single-time or average measurements of blood glucose, without consideration for how blood glucose fluctuates over time. This study used continuous glucose monitoring (CGM) technology to evaluate how blood glucose fluctuates in individuals over time. The authors found that many individuals considered nondiabetic by standard measures experienced frequent elevations in blood glucose levels into the pre-diabetic or diabetic range (15% and 2% of the time, respectively). The authors developed a model for determining the “glucotype” (low, moderate or severe variability) of an individual, a more comprehensive measure of glucose patterns than the standard tests currently used. The authors argue that CGM should become an important tool in early identification of those at risk for type 2 diabetes.
Abstract
Diabetes is an increasing problem worldwide; almost 30 million people, nearly 10% of the population, in the United States are diagnosed with diabetes. Another 84 million are prediabetic, and without intervention, up to 70% of these individuals may progress to type 2 diabetes. Current methods for quantifying blood glucose dysregulation in diabetes and prediabetes are limited by reliance on single-time-point measurements or on average measures of overall glycemia and neglect glucose dynamics. We have used continuous glucose monitoring (CGM) to evaluate the frequency with which individuals demonstrate elevations in postprandial glucose, the types of patterns, and how patterns vary between individuals given an identical nutrient challenge. Measurement of insulin resistance and secretion highlights the fact that the physiology underlying dysglycemia is highly variable between individuals. We developed an analytical framework that can group individuals according to specific patterns of glycemic responses called "glucotypes" that reveal heterogeneity, or subphenotypes, within traditional diagnostic categories of glucose regulation. Importantly, we found that even individuals considered normoglycemic by standard measures exhibit high glucose variability using CGM, with glucose levels reaching prediabetic and diabetic ranges 15% and 2% of the time, respectively. We thus show that glucose dysregulation, as characterized by CGM, is more prevalent and heterogeneous than previously thought and can affect individuals considered normoglycemic by standard measures, and specific patterns of glycemic responses reflect variable underlying physiology. The interindividual variability in glycemic responses to standardized meals also highlights the personal nature of glucose regulation. Through extensive phenotyping, we developed a model for identifying potential mechanisms of personal glucose dysregulation and built a webtool for visualizing a user-uploaded CGM profile and classifying individualized glucose patterns into glucotypes.
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Combining Short-Term Interval Training with Caloric Restriction Improves ß-Cell Function in Obese Adults.
Francois, ME, Gilbertson, NM, Eichner, NZM, Heiston, EM, Fabris, C, Breton, M, Mehaffey, JH, Hassinger, T, Hallowell, PT, Malin, SK
Nutrients. 2018;10(6)
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The development of type 2 diabetes is characterised by insulin resistance and dysfunction of the pancreas. Over time, loss of function of the ß-cells of the pancreas leads to impaired tolerance of blood sugar and type 2 diabetes. Low-calorie diets have been shown to improve blood sugar regulation, but it is unclear what impact interval exercise has in addition to a low-calorie diet. This study tested the hypothesis that combining interval exercise with a low-calorie diet would enhance pancreatic function compared to a low calorie diet alone in adults with obesity. Twenty-six obese adults were assigned to 2 weeks of a LCD (1200 kcal/day), using meal replacement shakes for breakfast and lunch. Half the group also underwent 60 minutes of interval training a day; after each session they received a 350 kcal shake to compensate for the calories burned during training. A series of blood tests was carried out to measure glucose tolerance and insulin secretion rates. Combining a low calorie diet with interval training reduced glucose and insulin secretion rates, whereas the low calorie diet alone did not. Both interventions improved insulin sensitivity. The authors concluded that the data supports combining low calorie diets with interval training to preserve pancreatic function and prevent type 2 diabetes.
Abstract
Although low-calorie diets (LCD) improve glucose regulation, it is unclear if interval exercise (INT) is additive. We examined the impact of an LCD versus LCD + INT training on ß-cell function in relation to glucose tolerance in obese adults. Twenty-six adults (Age: 46 ± 12 year; BMI 38 ± 6 kg/m²) were randomized to 2-week of LCD (~1200 kcal/day) or energy-matched LCD + INT (60 min/day alternating 3 min at 90 and 50% HRpeak). A 2 h 75 g oral glucose tolerance test (OGTT) was performed. Insulin secretion rates (ISR) were determined by deconvolution modeling to assess glucose-stimulated insulin secretion ([GSIS: ISR/glucose total area under the curve (tAUC)]) and ß-cell function (Disposition Index [DI: GSIS/IR]) relative to skeletal muscle (Matsuda Index), hepatic (HOMA-IR) and adipose (Adipose-IRfasting) insulin resistance (IR). LCD + INT, but not LCD alone, reduced glucose and total-phase ISR tAUC (Interactions: p = 0.04 and p = 0.05, respectively). Both interventions improved skeletal muscle IR by 16% (p = 0.04) and skeletal muscle and hepatic DI (Time: p < 0.05). Improved skeletal muscle DI was associated with lower glucose tAUC (r = -0.57, p < 0.01). Thus, LCD + INT improved glucose tolerance more than LCD in obese adults, and these findings relate to ß-cell function. These data support LCD + INT for preserving pancreatic function for type 2 diabetes prevention.
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Low-carbohydrate diets for type 1 diabetes mellitus: A systematic review.
Turton, JL, Raab, R, Rooney, KB
PloS one. 2018;13(3):e0194987
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Type 1 diabetes is an autoimmune condition that affects the ability to produce insulin, the hormone that regulates blood sugar levels. Patients with Type 1 diabetes manage their condition with daily insulin injections or patches, and the standard dietary advice is to continue to eat a normal diet, and adjust the insulin dose to keep blood sugar under control. This systematic review of 9 studies of varying types, aimed to examine the effects of low-carbohydrate diets on type 1 diabetes management. 8 of the studies reported a change in HbA1c (the blood marker used to assess long-term blood sugar management); 3 of these reported statistically significant reductions. 2 studies reported statistically significant reductions in daily insulin use whilst following a low-carbohydrate diet. The study authors were unable to conclude an overall effect due to the differences in design and methods used in the 9 studies included. They call for more primary research to be conducted.
Abstract
Type 1 diabetes is an autoimmune condition characterised by pancreatic beta cell destruction and absolute insulin deficiency. The strongest predictor of diabetes complications is glycaemic control and achieving HbA1c ≤ 7.0% is the primary management target. However, standard treatment appears to be lacking and adjunctive strategies require consideration. A systematic review was conducted to examine the effect of low-carbohydrate diets on type 1 diabetes management. Four databases were searched from inception until 28 March 2017: MEDLINE; CINAHL; Cochrane Library; and EMBASE. All primary studies containing a methods section (excluding cross-sectional) were included. Reports had to quantitatively measure the effect(s) of a dietary intervention or observed intake over at least two weeks where carbohydrate is below 45% total energy in adults and/or children with type 1 diabetes. The primary outcome was HbA1c and secondary outcomes were severe hypoglycaemia, total daily insulin, BMI, quality of life and mean daily glucose. Seventy-nine full-text articles were assessed for eligibility and nine were included (two randomised controlled trials, four pre-post interventions, two case-series, one case-report). Eight studies reported a mean change in HbA1c with a low-carbohydrate diet. Of these, four reported a non-significant change (P ≥ 0.05) and three reported statistically significant reductions (P < 0.05). Two studies reported severe hypoglycaemia, five reported total insulin, three reported BMI, and one reported blood glucose. Due to the significant heterogeneity of included studies, an overall effect could not be determined. This review presents all available evidence on low-carbohydrate diets for type 1 diabetes and suggests an urgent need for more primary studies.
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Effect of Low-Fat vs Low-Carbohydrate Diet on 12-Month Weight Loss in Overweight Adults and the Association With Genotype Pattern or Insulin Secretion: The DIETFITS Randomized Clinical Trial.
Gardner, CD, Trepanowski, JF, Del Gobbo, LC, Hauser, ME, Rigdon, J, Ioannidis, JPA, Desai, M, King, AC
JAMA. 2018;319(7):667-679
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Obesity is a major public health challenge and different dietary strategies are employed to lose weight. This randomised clinical trial of 609 obese adults between the age of 18 and 50 aimed to determine the effects of a healthy low-fat diet in comparison to a healthy low-carbohydrate diet on weight change over a 12 month period. The study also assessed whether 3 genetic markers and blood sugar management affected weight loss in the 2 groups. Participants in the study were offered 22 group sessions of health coaching to support adherence to the programme. 481 participants completed the study. The low-carbohydrate group lost on average 6kg and the low-fat group lost on average 5.4kg. The difference between the 2 groups did not achieve significance for weight loss. There was also no significant genetic or blood sugar management effect in relation to dietary pattern and weight loss. The authors of this study conclude that the results of this study do not help in identifying which dietary type is better for whom in relation to 3 genetic markers and blood sugar management.
Abstract
Importance: Dietary modification remains key to successful weight loss. Yet, no one dietary strategy is consistently superior to others for the general population. Previous research suggests genotype or insulin-glucose dynamics may modify the effects of diets. Objective: To determine the effect of a healthy low-fat (HLF) diet vs a healthy low-carbohydrate (HLC) diet on weight change and if genotype pattern or insulin secretion are related to the dietary effects on weight loss. Design, Setting, and Participants: The Diet Intervention Examining The Factors Interacting with Treatment Success (DIETFITS) randomized clinical trial included 609 adults aged 18 to 50 years without diabetes with a body mass index between 28 and 40. The trial enrollment was from January 29, 2013, through April 14, 2015; the date of final follow-up was May 16, 2016. Participants were randomized to the 12-month HLF or HLC diet. The study also tested whether 3 single-nucleotide polymorphism multilocus genotype responsiveness patterns or insulin secretion (INS-30; blood concentration of insulin 30 minutes after a glucose challenge) were associated with weight loss. Interventions: Health educators delivered the behavior modification intervention to HLF (n = 305) and HLC (n = 304) participants via 22 diet-specific small group sessions administered over 12 months. The sessions focused on ways to achieve the lowest fat or carbohydrate intake that could be maintained long-term and emphasized diet quality. Main Outcomes and Measures: Primary outcome was 12-month weight change and determination of whether there were significant interactions among diet type and genotype pattern, diet and insulin secretion, and diet and weight loss. Results: Among 609 participants randomized (mean age, 40 [SD, 7] years; 57% women; mean body mass index, 33 [SD, 3]; 244 [40%] had a low-fat genotype; 180 [30%] had a low-carbohydrate genotype; mean baseline INS-30, 93 μIU/mL), 481 (79%) completed the trial. In the HLF vs HLC diets, respectively, the mean 12-month macronutrient distributions were 48% vs 30% for carbohydrates, 29% vs 45% for fat, and 21% vs 23% for protein. Weight change at 12 months was -5.3 kg for the HLF diet vs -6.0 kg for the HLC diet (mean between-group difference, 0.7 kg [95% CI, -0.2 to 1.6 kg]). There was no significant diet-genotype pattern interaction (P = .20) or diet-insulin secretion (INS-30) interaction (P = .47) with 12-month weight loss. There were 18 adverse events or serious adverse events that were evenly distributed across the 2 diet groups. Conclusions and Relevance: In this 12-month weight loss diet study, there was no significant difference in weight change between a healthy low-fat diet vs a healthy low-carbohydrate diet, and neither genotype pattern nor baseline insulin secretion was associated with the dietary effects on weight loss. In the context of these 2 common weight loss diet approaches, neither of the 2 hypothesized predisposing factors was helpful in identifying which diet was better for whom. Trial Registration: clinicaltrials.gov Identifier: NCT01826591.