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Self-regulation can facilitate modifications in lifestyle to promote behavioral change. However, little is known about whether adaptive interventions promote improvement in self-regulatory, dietary, and physical activity outcomes among slow treatment responders. A stratified design with an adaptive intervention for slow responders was implemented and evaluated. Adults ≥ 21 years old with prediabetes were stratified to the standard Group Lifestyle Balance intervention (GLB; n = 79) or the adaptive GLB Plus intervention (GLB + ; n = 105) based on first-month treatment response. Intake of total fat was the only study measure that significantly differed between groups at baseline (P = 0.0071). GLB reported greater improvement in self-efficacy for lifestyle behaviors, goal satisfaction with weight loss, and very active minutes of activity than GLB + (all P < 0.01) at 4-months. Both groups reported significant improvement in self-regulatory outcomes and reduction in energy and fat intake (all P < 0.01). An adaptive intervention can improve self-regulation and dietary intake when tailored to early slow treatment responders.
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Diabetes Mellitus , Estado Pré-Diabético , Adulto , Humanos , Adulto Jovem , Estado Pré-Diabético/terapia , Dieta , Diabetes Mellitus/prevenção & controle , Exercício Físico/fisiologia , Estilo de VidaRESUMO
PURPOSE OF REVIEW: Adaptive behavioral interventions tailor the type or dose of intervention strategies to individuals over time to improve saliency and intervention efficacy. This review describes the unique characteristics of adaptive intervention designs, summarizes recent diabetes-related prevention studies, which used adaptive designs, and offers recommendations for future research. RECENT FINDINGS: Eight adaptive intervention studies were reported since 2013 to reduce sedentary behavior or improve weight management in overweight or obese adults. Primarily, feasibility studies were conducted. Preliminary results suggest that just-in-time adaptive interventions can reduce sedentary behavior or increase minutes of physical activity through repeated prompts. A stepped-down weight management intervention did not increase weight loss compared to a fixed intervention. Other adaptive interventions to promote weight management are underway and require further evaluation. Additional research is needed to target a broader range of health-related behaviors, identify optimal decision points and dose for intervention, develop effective engagement strategies, and evaluate outcomes using randomized trials.
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Terapia Comportamental , Comportamento Sedentário , Adulto , Peso Corporal , Humanos , Obesidade/terapia , Sobrepeso/terapia , Redução de PesoRESUMO
BACKGROUND: Racial minority children, particularly from low-income households, are at risk for obesity. Family meals have a protective effect on child nutritional health. However, the current evidence is limited in racial and socioeconomic diversity. The objective of this study was to evaluate the impact of a family meals intervention, Simple Suppers, on improvements in diet and health outcomes from baseline (T0) to post-intervention (T1) in intervention compared to waitlist control participants, and determine retention of change in outcomes among intervention participants at 10-week follow-up (T2). METHODS: Simple Suppers was a 10-week family meals intervention implemented as a 2-group quasi-experimental trial. Ten 90-min lessons were delivered weekly. Data were collected at T0 and T1, and from intervention participants at T2. Participants were racially diverse 4-10 year-old children from low-income households. Setting was a faith-based community center. Main outcomes were daily servings of fruit, vegetables, and sugar-sweetened beverages and diet quality; z-scores for body mass index (BMI), waist circumference, systolic and diastolic blood pressure (BP); weight status categories; food preparation skills; and family meals (frequency of dinner, breakfast, TV viewing during meals, meals in dining area). Generalized linear mixed models (GLMMs) and mixed-effects ordinal regression models were used to assess intervention impact (T0:T1). Paired t-tests examined retention of change among intervention participants (T1:T2). RESULTS: One hundred forty children enrolled and 126 completed T1 (90% retention); 71 of 87 intervention participants completed T2(79% retention). Mean (SD) age was 6.9(1.9) yr, 62% female, 60% Black, and 42% low-income. Intervention vs waitlist controls had higher food preparation skills (p < 0.001) and lower TV viewing during meals (p = 0.04) at T1.There were no group differences in dietary intake or quality or z-scores for BMI, waist circumference, or BP, however intervention versus waitlist controls experienced a greater change toward healthy weight (p = 0.04) At T2, intervention participants demonstrated a retention of improved food preparation skills. CONCLUSIONS: Simple Suppers led to improvements in children's weight status, food preparation skills, and TV viewing during meals, but not diet or z-scores for BMI, waist circumference, or BP. Future research should examine the preventive effects of healthy family mealtime routines in children at greatest risk for obesity. TRIAL REGISTRATION: NCT02923050; Simple Suppers Scale-up (S3); Retrospectively registered on Oct 2016; First participant enrolled on Jan 2015.
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Dieta/estatística & dados numéricos , Família , Refeições , Obesidade Infantil/prevenção & controle , Criança , Pré-Escolar , Feminino , Seguimentos , Humanos , Masculino , Obesidade Infantil/epidemiologia , Avaliação de Programas e Projetos de Saúde , Fatores de RiscoRESUMO
BACKGROUND: Given the ongoing childhood obesity public health crisis and potential protective effect of family meals, there is need for additional family meals research, specifically experimental studies with expanded health outcomes that focus on the at-risk populations in highest need of intervention. Future research, specifically intervention work, would also benefit from an expansion of the target age range to include younger children, who are laying the foundation of their eating patterns and capable of participating in family meal preparations. The purpose of this paper is to address this research gap by presenting the objectives and research methods of a 10-week multi-component family meals intervention study aimed at eliciting positive changes in child diet and weight status. METHODS: This will be a group quasi-experimental trial with staggered cohort design. Data will be collected via direct measure and questionnaires at baseline, intervention completion (or waiting period for controls), and 10-weeks post-intervention. Setting will be faith-based community center. Participants will be 60 underserved families with at least 1, 4-10 year old child will be recruited and enrolled in the intervention (n = 30) or waitlist control group (n = 30). The intervention (Simple Suppers) is a 10-week family meals program designed for underserved families from racial/ethnic diverse backgrounds. The 10, 90-min program lessons will be delivered weekly over the dinner hour. Session components include: a) interactive group discussion of strategies to overcome family meal barriers, plus weekly goal setting for caregivers; b) engagement in age-appropriate food preparation activities for children; and c) group family meal for caregivers and children. Main outcome measures are change in: child diet quality; child standardized body mass index; and frequency of family meals. Regression models will be used to compare response variables results of intervention to control group, controlling for confounders. Analyses will account for clustering by family and cohort. Significance will be set at p < 0.05. DISCUSSION: This is the first experimentally designed family meals intervention that targets underserved families with elementary school age children and includes an examination of health outcomes beyond weight status. Results will provide researchers and practitioners with insight on evidence-based programming to aid in childhood obesity prevention. TRIAL REGISTRATION: NCT02923050 . Registered 03 October 2016. Retrospectively registered.
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Dieta , Família , Comportamento Alimentar , Refeições , Índice de Massa Corporal , Peso Corporal , Criança , Pré-Escolar , Feminino , Humanos , Obesidade Infantil/prevenção & controle , Projetos de Pesquisa , Fatores SocioeconômicosRESUMO
IN BRIEF This article provides a description of mindfulness and mindful eating and addresses the application of mindful eating as a component of diabetes self-management education. Mindful eating helps individuals cultivate awareness of both internal and external triggers to eating, interrupt automatic eating, and eat in response to the natural physiological cues of hunger and satiety. Mindful eating interventions have been effective in facilitating improvement in dysregulated eating and dietary patterns. Through practice over time, eating mindfully can interrupt habitual eating behaviors and provide greater regulation of food choice. More research is needed to determine the long-term impact of mindful eating programs.
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IN BRIEF Participants with type 2 diabetes established personalized dietary and physical activity goals as behavioral strategies to reduce cardiovascular risk during a 16-week telephone coaching intervention. People were most likely to attain dietary goals that involved altering the intake of specific foods rather than certain nutrients and were more successful at physical activity goals to increase activity levels rather than to add new types of activity. Barriers to goal success included time management, physical limitations/illness, and social/cultural activities.
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INTRODUCTION: Working adults spend much time at the workplace, an ideal setting for wellness programs targeting weight loss and disease prevention. Few randomized trials have evaluated the efficacy of worksite diabetes prevention programs. This study evaluated the efficacy of a worksite lifestyle intervention on metabolic and behavioral risk factors compared with usual care. METHODS: A pretest-posttest control group design with 3-month follow-up was used. Participants with prediabetes were recruited from a university worksite and randomized to receive a 16-week lifestyle intervention (n = 35) or usual care (n = 34). Participants were evaluated at baseline, postintervention, and 3-month follow-up. Dietary intake was measured by a food frequency questionnaire and level of physical activity by accelerometers. Repeated measures analysis of variance compared the change in outcomes between and within groups. RESULTS: Mean (standard error [SE]) weight loss was greater in the intervention (-5.5% [0.6%]) than in the control (-0.4% [0.5%]) group (P < .001) postintervention and was sustained at 3-month follow-up (P < .001). Mean (SE) reductions in fasting glucose were greater in the intervention (-8.6 [1.6] mg/dL) than in the control (-3.7 [1.6] mg/dL) group (P = .02) postintervention; both groups had significant glucose reductions at 3-month follow-up (P < .001). In the intervention group, the intake of total energy and the percentage of energy from all fats, saturated fats, and trans fats decreased, and the intake of dietary fiber increased (all P < .01) postintervention. CONCLUSION: The worksite intervention improved metabolic and behavioral risk factors among employees with prediabetes. The long-term impact on diabetes prevention and program sustainability warrant further investigation.
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Diabetes Mellitus Tipo 2/prevenção & controle , Promoção da Saúde/métodos , Estilo de Vida , Estado Pré-Diabético/diagnóstico , Redução de Peso , Local de Trabalho , Adulto , Comportamento Alimentar , Feminino , Teste de Tolerância a Glucose , Humanos , Masculino , Pessoa de Meia-Idade , Atividade Motora , Ohio , Avaliação de Programas e Projetos de Saúde , Fatores de Risco , UniversidadesRESUMO
Goal setting is a widely used behavior change tool in diabetes education and training. Prior research found specific relatively difficult but attainable goals set within a specific timeframe improved performance in sports and at the workplace. However, the impact of goal setting in diabetes self-care has not received extensive attention. This review examined the mechanisms underlying behavioral change according to goal setting theory and evaluated the impact of goal setting in diabetes intervention studies. Eight studies were identified, which incorporated goal setting as the primary strategy to promote behavioral change in individual, group-based, and primary care settings among patients with type 2 diabetes. Improvements in diabetes-related self-efficacy, dietary intake, physical activity, and A1c were observed in some but not all studies. More systematic research is needed to determine the conditions and behaviors for which goal setting is most effective. Initial recommendations for using goal setting in diabetes patient encounters are offered.
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Diabetes Mellitus/psicologia , Diabetes Mellitus/terapia , Objetivos , Autocuidado/psicologia , Comportamentos Relacionados com a Saúde , HumanosRESUMO
Background: Lifestyle interventions can promote improvement in dietary intake and physical activity (PA), on average, by strengthening motivation, self-regulatory efforts, and commitment to behavioral change. However, maintenance of behavioral change is challenging, and slow responders during treatment often experience less overall success. Adaptive intervention sequences tailored to treatment response may be more effective in sustaining behavioral change. Methods: Adults ≥ 21 years old with prediabetes (n = 187) were stratified at week five to the standard Group Lifestyle Balance (GLB) intervention, if they achieved > 2.5% weight loss, or to the augmented intervention GLB Plus (GLB+) at week five, if they did not. At month five, each person in a matched pair was randomly assigned to GLB or GLB + for the extended intervention phase (months 5-12) followed by no study conduct (months 13-18). The primary comparison of interest was the change in outcomes between the standard (GLB followed by GLB) and augmented (GLB + followed by GLB+) intervention sequences post-intervention at 12 - and 18-months using linear mixed effect models. Results: The augmented GLB + intervention sequence reported a decline in the change in self-efficacy for reducing fat intake, self-efficacy for 'sticking to' healthy eating and exercise, and hopeful thought and planning compared to the standard GLB intervention sequence (all P < 0.0167) at 18-months. However, there were no significant differences between these intervention sequences at 18-months in the change in dietary intake or minutes of PA (all P > 0.05). Conclusions: No significant change in behavioral measures across intervention sequences occurred at study end. An 18-month decline in self-efficacy regarding diet and PA and hopeful thought and planning among slow responders following no intervention for six months indicates greater extended care is likely needed. The type of extended care that is most effective for slow treatment responders requires additional research.
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Early slow weight loss during treatment is associated with less weight loss overall. The impact of an augmented intervention designed for early slow weight loss responders compared with a standard diabetes prevention intervention was evaluated following 12 months of treatment and 6 months of no contact. The impact of standard vs. augmented intervention sequences on weight and glycemia also was determined. Adults were ≥21 years old with overweight or obesity and prediabetes (n = 174). Slow responders were stratified to augmented treatment if they failed to achieve >2.5% weight loss (%WL) at Week 5. Matched within-sex pairs of participants were created based on %WL at Month 5 following the intensive intervention phase, and each person within the pair was randomly assigned to treatment for Months 5-12 during the extended intervention phase. Both 12-month interventions included a ≥7%WL goal. Mean 12-month %WL was 5.29% (95% CI: 4.27%-6.31%; P < .0001) and 18-month %WL was 3.34% (95% CI: 2.01%-4.66%; P < .0001) overall. %WL was greater for the standard (9.55%) than the augmented (4.0%) intervention (P = .0001); no differences occurred in weight regain between early and slow responders (P = .9476). No differences occurred in mean %WL at 12 months between the standard and augmented groups after controlling for %WL at Week 5 and sex (P = .23) nor in the change in glycemia (all P > .05). WL following the first month of treatment predicted 12- and 18-month WL success regardless of intervention sequence; however, even early slow responders achieved significant WL during treatment. Further research is needed to support effective WL maintenance for people with prediabetes.
Weight loss is a primary strategy for risk reduction in adults with prediabetes, and early weight loss may indicate weight loss success long-term. Early slow weight loss responders during behavioral treatment may benefit from alternate treatment compared with remaining in a standard diabetes prevention program. An intervention augmented with training in goal setting and problem-solving was implemented among slow weight loss responders following the first month of treatment in the current study. The change in percent weight loss observed in the augmented intervention compared with the standard diabetes prevention intervention was determined at 12 and 18 months from baseline. Both the standard and augmented interventions facilitated significant weight loss at 12 months. Participants who lost more than 2.5% of their weight during the first month of treatment (early responders) lost more weight overall during the study compared with people who were slower to respond. Percent weight loss following the first month of lifestyle intervention and sex predicted percent weight loss at 12 months. Participants regained some weight at 18 months regardless of the treatment group but weighed less than their baseline weight. Both early and slow weight loss responders may benefit from ongoing support following 12 months of treatment to achieve weight loss maintenance.
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Objectives: Males often lose more weight than females during treatment, and early weight loss predicts weight loss longer-term. Yet, mechanisms for sex differences in early weight loss are unknown and were examined in this study.Methods: Adults≥21 years old with overweight or obesity and prediabetes (N=206) participated in a lifestyle intervention and completed baseline psychosocial questionnaires. Percent weight loss, session attendance, and number of days participants self-monitored dietary intake and weight were determined at week 5. Principal components, regression, and mediation analyses were conducted to determine whether weight loss differed by sex and potential mediators of weight change. Results: Mean (±SD) weight loss was greater for males (2.59±1.62%) than females (2.05±1.54%; p=.02). Attendance, self-monitoring, and beliefs regarding disease risk were independent predictors of weight loss (all p<.05) but did not explain sex differences. The association between attendance and weight loss was stronger for males than females (p<.05). Conclusions: Additional research is needed to identify mechanisms that explain sex differences in early weight loss. However, strengthening risk beliefs, attendance, and self-monitoring may promote greater early weight loss for all participants.
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Estado Pré-Diabético , Caracteres Sexuais , Adulto , Humanos , Feminino , Masculino , Adulto Jovem , Estilo de Vida , Obesidade/prevenção & controle , Estado Pré-Diabético/terapia , Redução de PesoRESUMO
BACKGROUND: The interplay between the immune system and abnormal metabolic conditions sustains and propagates a vicious feedback cycle of chronic inflammation and metabolic dysfunction that is critical for atherosclerotic progression. It is well established that abnormal metabolic conditions, such as dyslipidemia and hyperglycemia, cause various cellular stress responses that induce tissue inflammation and immune cell activation, which in turn exacerbate the metabolic dysfunction. However, molecular events linking these processes are not well understood. METHODS AND RESULTS: Tissues and organs of humans and mice with hyperglycemia and hyperlipidemia were examined for expression of ligands for NKG2D, a potent immune-activating receptor expressed by several types of immune cells, and the role of NKG2D in atherosclerosis and metabolic diseases was probed with the use of mice lacking NKG2D or by blocking NKG2D with monoclonal antibodies. NKG2D ligands were upregulated in multiple organs, particularly atherosclerotic aortas and inflamed livers. Ligand upregulation was induced in vitro by abnormal metabolites associated with metabolic dysfunctions. Using apolipoprotein E-deficient mouse models, we demonstrated that preventing NKG2D functions resulted in a dramatic reduction in plaque formation, suppressed systemic and organ inflammation mediated by multiple immune cell types, and alleviated abnormal metabolic conditions. CONCLUSIONS: The NKG2D/ligand interaction is a critical molecular link in the vicious cycle of chronic inflammation and metabolic dysfunction that promotes atherosclerosis and might be a useful target for therapeutic intervention in the disease.
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Aterosclerose/imunologia , Diabetes Mellitus Experimental/imunologia , Síndrome Metabólica/imunologia , Subfamília K de Receptores Semelhantes a Lectina de Células NK/imunologia , Animais , Anticorpos Bloqueadores/farmacologia , Anticorpos Monoclonais/farmacologia , Apolipoproteínas E/genética , Aterosclerose/genética , Aterosclerose/metabolismo , Biomarcadores/metabolismo , Citocinas/metabolismo , Diabetes Mellitus Experimental/metabolismo , Hepatite/imunologia , Hepatite/metabolismo , Humanos , Sistema Imunitário/imunologia , Ligantes , Masculino , Síndrome Metabólica/metabolismo , Camundongos , Camundongos Endogâmicos C57BL , Camundongos Knockout , Subfamília K de Receptores Semelhantes a Lectina de Células NK/metabolismo , Regulação para Cima/imunologiaRESUMO
OBJECTIVE: Some people are slower to respond during lifestyle interventions. An adaptive "rescue" intervention may improve outcomes among slow responders. The impact of a worksite rescue intervention for early slow responders was evaluated. RESEARCH DESIGN AND METHODS: Employees ≥21 years old with prediabetes were stratified to intervention using a 2.5% weight loss (%WL) threshold at week 5. Outcomes were assessed at baseline and at 4 months using mixed-effect and linear regression models. RESULTS: Significant improvement occurred in mean %WL, glycemia, total cholesterol, and triglycerides in the standard compared with the adaptive (Group Lifestyle Balance Plus [GLB+]) intervention (all P≤ 0.01). However, GLB+ participants also experienced a significant reduction in %WL and glycemia (all P < 0.01). The %WL at week 5 significantly predicted %WL at 4 months (P < 0.0001). The between-group difference of 4-month %WL was not significant for someone achieving 2.5%WL at week 5. CONCLUSIONS: Diabetes prevention programs should consider weight loss success following 1 month of treatment and offer a rescue intervention to early slow weight loss responders.
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Diabetes Mellitus , Estado Pré-Diabético , Adulto , Colesterol , Humanos , Estado Pré-Diabético/terapia , Triglicerídeos , Redução de Peso , Adulto JovemRESUMO
OBJECTIVE: A lower glycaemic index (GI) diet is associated with a reduction in glycosylated Hb (HbA(1c)) in people with diabetes. Yet, little research has been conducted to determine the effects of specific goals regarding consumption of low GI (LGI) foods on diabetes outcomes. The present study evaluated a behavioural intervention on dietary intake, weight status and HbA(1c), which included a goal to consume either six or eight servings of LGI foods daily. DESIGN: A parallel two-group design was used. Following the 5-week intervention, participants were randomly assigned to the group of six (n 15) or eight (n 20) servings of LGI foods daily and followed up for 8 weeks. Dietary intake was assessed using the mean of 4 d food records. SETTING: A metropolitan community in the USA. SUBJECTS: Individuals aged 40-65 years with type 2 diabetes of ≥1 year and HbA(1c) ≥ 7·0 % were eligible. RESULTS: There was no significant difference between goal difficulty groups with regard to GI servings at the end of the study. However, mean consumption of LGI foods increased by 2·05 (SE 0·47) and 1·65 (SE 0·40) servings per 4184 kJ in the six (P < 0·001) and eight (P < 0·001) LGI serving groups, respectively. For all participants combined, there were significant decreases in mean HbA(1c) (-0·58 (SE 0·21) %; P = 0·01), weight (-2·30 (SE 0·78) kg; P = 0·01), BMI (-0·80 (SE 0·29) kg/m(2); P = 0·01) and waist circumference (-2·36 (SE 0·81) cm; P = 0·01). CONCLUSIONS: An intervention including a specific goal to consume six to eight servings of LGI foods daily can improve diabetes outcomes. Clinicians should help patients set specific targets for dietary change and identify ways of achieving those goals.
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Diabetes Mellitus Tipo 2/dietoterapia , Dieta/normas , Hemoglobinas Glicadas/metabolismo , Índice Glicêmico , Redução de Peso/fisiologia , Adulto , Idoso , Índice de Massa Corporal , Diabetes Mellitus Tipo 2/metabolismo , Registros de Dieta , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Circunferência da CinturaRESUMO
The Legume Inflammation Feeding Experiment is, to our knowledge, the first randomized crossover feeding trial testing the effects of a legume-enriched, low-glycemic index (GI) diet among men characterized for colorectal adenomas and insulin resistance (IR) status. This study was designed to test the effects of a legume-enriched diet compared with a healthy American (HA) diet under weight-stable conditions. The primary objective was to assess effects on C-reactive protein (CRP) and C-peptide levels. The secondary objective was to assess changes by IR status or history of adenomas. A total of 64 men who completed a colonoscopy within the previous 2 y consumed 2 diets in random order each for 4 wk separated by a washout period. The diets were a legume-enriched (250 g/d), low-GI (GI 38) diet and a high-GI (GI 69) HA diet. We measured fasting glucose, insulin, C-peptide, CRP, and soluble tumor necrosis factor-alpha receptors I and II (sTNFRI/II) at the beginning and end of the diet periods. Participants who consumed both the legume and HA diets had favorably improved CRP (-20.2 and -18.3%) and sTNFRI (-3.7 and -4.4%) concentrations, respectively. The sTNFRII concentrations declined marginally during the legume diet period (-3.8%; P = 0.060) and significantly during the HA diet period (-5.1%; P < 0.001). Fasting glucose increased significantly during both the legume (+1.8%) and HA (-2.2%) diet periods. Only the changes in glucose differed between the diet periods. Serum C-peptide and plasma insulin levels did not change in participants consuming either diet. Healthful dietary changes can improve biomarkers of IR and inflammation.
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Biomarcadores , Neoplasias Colorretais/prevenção & controle , Dieta , Fabaceae , Índice Glicêmico/fisiologia , Inflamação/sangue , Resistência à Insulina , Neoplasias Colorretais/metabolismo , Estudos Cross-Over , Humanos , Masculino , Pessoa de Meia-Idade , Fatores de RiscoRESUMO
The glycemic index (GI) reflects the postprandial glucose response of carbohydrate-containing foods, and adoption of a lower-GI diet may be beneficial in diabetes management. The purpose of this study was to evaluate change in food-group intake by participants after completing an intervention that included instruction about carbohydrate and the GI using a quasi-experimental design. Recruitment occurred from February to August 2005 and September to December 2006. Individuals 40 to 70 years old with type 2 diabetes for 1 year or longer were randomly assigned to an immediate (n=55) or delayed (n=48) treatment group. A 9-week group-based intervention regarding the quantity and type of carbohydrate for diabetes management was provided. Three sets of 24-hour dietary recalls were used to assess food-group intake. Foods were divided into nine main food groups and 166 subgroups based on the Dietary Guidelines for Americans 2005 and the United States Department of Agriculture's Food Guide Pyramid. Analysis of variance was used to examine between-group differences and paired t test compared maintenance of change for the immediate group. Change in dietary GI was significantly different between groups upon completion of the intervention by the immediate group (P<0.05). Participants consumed significantly more servings of whole fruit and nonfat dairy products following the intervention and fewer servings of vegetable fats (all P<0.05). Only whole-fruit consumption significantly declined in the immediate group during the maintenance period (P<0.05). Nutrition education can facilitate adoption of a lower-GI diet among free-living people with diabetes. Maintaining dietary change likely requires further intervention and support.
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Diabetes Mellitus Tipo 2/dietoterapia , Carboidratos da Dieta/administração & dosagem , Carboidratos da Dieta/farmacocinética , Índice Glicêmico , Ciências da Nutrição/educação , Educação de Pacientes como Assunto , Adulto , Idoso , Análise de Variância , Área Sob a Curva , Glicemia/metabolismo , Comportamento de Escolha , Diabetes Mellitus Tipo 2/sangue , Carboidratos da Dieta/classificação , Relação Dose-Resposta a Droga , Feminino , Frutas , Educação em Saúde , Promoção da Saúde , Humanos , Absorção Intestinal/efeitos dos fármacos , Masculino , Rememoração Mental , Pessoa de Meia-Idade , Cooperação do Paciente , Período Pós-Prandial/efeitos dos fármacos , Período Pós-Prandial/fisiologia , Resultado do Tratamento , VerdurasRESUMO
OBJECTIVE: Glycaemic index (GI) reflects the postprandial glucose response of carbohydrate-containing foods. A diet with lower GI may improve glycaemic control in people with diabetes. The purpose of the present study was to evaluate the change in outcomes following a behavioural intervention which promoted lower-GI foods among adults with diabetes. DESIGN: A pre-test-post-test control group design was used with participants randomly assigned to an immediate (experimental) or delayed (control) treatment group. The intervention included a 9-week, group-based intervention about carbohydrate and the glycaemic index. Dietary, anthropometric and metabolic measures were obtained pre/post-intervention in both groups and at 18-week follow-up for the immediate group. SETTING: The study was conducted in a rural community in the north-eastern USA. SUBJECTS: Adults having type 2 diabetes mellitus for > or =1 year, aged 40-70 years and not requiring insulin therapy (n 109) were recruited. RESULTS: Following the intervention, mean dietary GI (P < 0.001), percentage of energy from total fat (P < 0.01) and total dietary fibre (P < 0.01) improved in the immediate compared with the delayed group. Mean BMI (P < 0.0001), fasting plasma glucose (P = 0.03), postprandial glucose (P = 0.02), fructosamine (P = 0.02) and insulin sensitivity factor (P = 0.04) also improved in the immediate group compared with the delayed group. Mean waist circumference among males (P < 0.01) and body weight among males and females (P < 0.01) were significantly different between treatment groups. CONCLUSIONS: Educating clients about carbohydrate and the glycaemic index can improve dietary intake and health outcomes among adults with type 2 diabetes.
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Glicemia/metabolismo , Peso Corporal , Diabetes Mellitus Tipo 2/dietoterapia , Dieta/normas , Índice Glicêmico , Promoção da Saúde , Adulto , Idoso , Índice de Massa Corporal , Diabetes Mellitus Tipo 2/sangue , Gorduras na Dieta/administração & dosagem , Fibras na Dieta/administração & dosagem , Ingestão de Energia , Feminino , Frutosamina/sangue , Educação em Saúde , Humanos , Resistência à Insulina , Masculino , Pessoa de Meia-Idade , População Rural , Fatores Sexuais , Resultado do Tratamento , Estados Unidos , Circunferência da CinturaRESUMO
Glycemic index (GI) represents the postprandial glucose response of carbohydrate foods, and glycemic load (GL) represents the quantity and quality of carbohydrate consumed. A diet lower in GI and GL may improve diabetes management. A 9-week intervention regarding GI and GL was evaluated among adults in the age range of 40-70 years who had had type 2 diabetes > or =1 year (n = 103). Randomized pre-post test design with immediate and delayed treatment groups was employed. Dietary intake, knowledge, outcome expectations, self-efficacy, and empowerment regarding GI and GL and glucose monitoring were assessed. Four components were identified for outcome expectations using principal components analysis (dietary barrier, glycemic control, family support, and glucose monitoring), and two components were identified for self-efficacy (GI and self-regulation). Significant improvements in GI, knowledge, empowerment, self-efficacy, and outcome expectations (all p < .05) were observed except for glucose monitoring expectations. Only self-regulation efficacy significantly declined (p < .05) at the follow-up assessment in the immediate group. Nutrition education regarding GI and GL can improve dietary intake, knowledge, outcome and efficacy expectations, and empowerment for diabetes management.