Transtheoretical-Based Model of Intervention for Diabetes and Prediabetes: A Scoping Review.

Diabetes is considered a public health problem worldwide, fostered by population growth, an increase in the overall quality of life, changes in dietary patterns, modifications in lifestyle habits, and the natural process of getting older. To properly control diabetes, the transtheoretical model (TTM) may be useful. This scoping review is aimed at identifying TTM interventions for diabetes. The study followed Arksey and O'Malley's six steps in conducting the scoping review. Four main databases (PubMed, Central, JSTOR, and ScienceDirect), Google Scholar, Google, and a reference list of identified articles were searched for literature. The study included peer-reviewed articles published online from 2000 to 2023 and published in the English language. At the end of the search, 3,514 entries were found in the four main databases, and 23 records were identified through Google, Google Scholar searches, and reference lists. After a thorough screening, 22 records were used for this review. The study found that the primary interventions based on the TTM for managing diabetes and prediabetes were educational materials to promote physical activity among diabetes and prediabetes individuals, health education, exercise, motivational interviews, self-tracking, and dietary changes. Further interventions on diabetes and prediabetes management could adopt the identified transtheoretical interventions to improve the health of their patients.

The association of insulin responses and insulin sensitivity with cognition in adults with pre-diabetes: The Diabetes Prevention Program Outcomes Study.

OBJECTIVE: Dysglycemia is a significant risk factor for cognitive impairment. However, which pathophysiologic determinant(s) of dysglycemia, impaired insulin sensitivity (ISens) or the islet ß-cell's response (IResp), contribute to poorer cognitive function, independent of dysglycemia is not established. Among 1052 adults with pre-diabetes from the Diabetes Prevention Program Outcomes Study (DPPOS), we investigated the relationship between IResp, ISens and cognitive function. RESEARCH DESIGN AND METHODS: IResp was estimated by the insulinogenic index (IGI; pmol/mmol) and ISens as 1/fasting insulin from repeated annual oral glucose tolerance tests. The mean IResp and mean ISens were calculated over approximately 12 years of follow-up. Verbal learning (Spanish-English Verbal Learning Test [SEVLT]) and executive function (Digital Symbol Substitution Test [DSST]) were assessed at the end of the follow-up period. Linear regression models were run for each cognitive outcome and were adjusted for dysglycemia and other factors. RESULTS: Higher IResp was associated with poorer performance on the DSST (-0.69 points per 100 unit increase in IGI, 95 % CI: -1.37, -0.01). ISens was not associated with DSST, nor were IResp or ISens associated with performance on the SEVLT. CONCLUSIONS: These results suggest that a greater ß-cell response in people at high risk for type 2 diabetes is associated with poorer executive function, independent of dysglycemia and ISens.

Construct validity of the 12-item Short Form Health Survey (SF-12) version 2 and the impact of lifestyle modifications on the health-related quality of life among Indian adults with prediabetes: results from the D-CLIP trial.

PURPOSE: This study aimed to validate the factor structure of the 12-item Short-Form (SF-12) health-related quality of life (HRQOL) survey for Indian adults and assess the impact of lifestyle modification on the SF-12 of Indian adults with prediabetes. METHODS: To validate the context-specific construct of the SF-12, two-factor confirmatory factor analysis (CFA) was performed using data from 1285 adults residing in Chennai, India, who screened for the Diabetes Community Lifestyle Improvement Program (D-CLIP). D-CLIP was a randomized controlled trial of 578 participants with prediabetes (283 treatment, 293 control), focusing on the effect of lifestyle modifications on the prevention of diabetes. Physical and mental component scores (PCS and MCS) were computed by using CFA standardized factor loadings. Multiple linear regression was subsequently conducted to estimate the effect of lifestyle modification on post-study changes of PCS and MCS among D-CLIP participants. RESULTS: Cronbach's alpha and CFA fit indices demonstrated acceptable reliability and model fit of the SF-12 for Indian adults. The intervention group showed greater mean change in PCS after study participation compared to the controls (1.63 ± 0.82, p = 0.046); no significant difference was observed for MCS between two groups (1.00 ± 0.85, p = 0.242). CONCLUSION: The study confirmed that the SF-12 is suitable for assessing the physical and mental health dimensions of HRQOL for Indian adults. Our findings suggest that the benefits of diabetes prevention lifestyle modification strategies may primarily enhance the physical well-being of adults with prediabetes. Further studies validating the SF-12 in a broader Asian Indian population are needed. TRIAL REGISTRATION: Clinicaltrials.gov, NCT01283308.

Explanatory variables of objectively measured 24-h movement behaviors in people with prediabetes and type 2 diabetes: A systematic review.

AIM: Physical activity (PA), sedentary behavior (SB) and sleep (i.e. 24-h movement behaviors) are associated with health indicators in people with prediabetes and type 2 diabetes (T2D). To optimize 24-h movement behaviors, it is crucial to identify explanatory variables related to these behaviors. This review aimed to summarize the explanatory variables of 24-h movement behaviors in people with prediabetes or T2D. METHODS: A systematic search of four databases (PubMed, Web of Science, Scopus & Embase) was performed. Only objective measurements of 24-h movement behaviors were included in the search strategy. The explanatory variables were classified according to the levels of the socio-ecological model (i.e. intrapersonal, interpersonal and environmental). The risk of bias was assessed using the Joanna Briggs Institute appraisal checklist. RESULTS: None of the 78 included studies investigated 24-h movement behaviors. The majority of the studies investigated PA in isolation. Most studied explanatory variables were situated at the intrapersonal level. Being male was associated with more moderate to vigorous PA but less light PA in people with T2D, and more total PA in people with prediabetes. An older age was associated with a decrease in all levels of PA in people with T2D. HbA1c was positively associated with sleep and SB in both groups. No associations were found at the interpersonal or environmental level. CONCLUSION: The results of this review underscore the lack of a socio-ecological approach toward explanatory variables of 24-h movement behaviors and the lack of focus on an integrated 24-h movement behavior approach in both populations.

Effectiveness of a cognitive behavioral therapy-integrated, hospital-based program for prediabetes: a matched cohort study.

Intensive lifestyle interventions are effective in preventing T2DM, but evidence is lacking for high cardiometabolic individuals in hospital settings. We evaluated a hospital-based, diabetes prevention program integrating cognitive behavioral therapy (CBT) for individuals with prediabetes. This matched cohort assessed individuals with prediabetes receiving the prevention program, which were matched 1:1 with those receiving standard care. The year-long program included five in-person sessions and several online sessions covering prediabetes self-management, dietary and behavioral interventions. Kaplan-Meier and Cox regression models estimated the 60-month T2DM incidence rate. Of 192 patients, 190 joined the prevention program, while 190 out of 10,260 individuals were in the standard-care group. Both groups had similar baseline characteristics (mean age 58.9 ± 10.2 years, FPG 102.3 ± 8.2 mg/dL, HbA1c 5.9 ± 0.3%, BMI 26.2 kg/m2, metabolic syndrome 75%, and ASCVD 6.3%). After 12 months, the intervention group only showed significant decreases in FPG, HbA1c, and triglyceride levels and weight. At 60 months, the T2DM incidence rate was 1.7 (95% CI 0.9-2.8) in the intervention group and 3.5 (2.4-4.9) in the standard-care group. After adjusting for variables, the intervention group had a 0.46 times lower risk of developing diabetes. Therefore, healthcare providers should actively promote CBT-integrated, hospital-based diabetes prevention programs to halve diabetes progression.

Role of Eating Behavior and Stress in Maintenance of Dietary Changes During the PREVIEW Intervention.

OBJECTIVE: To examine whether eating behavior and perceived stress predict the maintenance of self-reported dietary change and adherence to dietary instructions during an intervention. DESIGN: A secondary analysis of the behavior maintenance stage (6-36 months) of the 3-year PREVIEW intervention (PREVention of diabetes through lifestyle Intervention and population studies in Europe and around the World). PARTICIPANTS: Adults (n = 1,311) with overweight and prediabetes at preintervention baseline. VARIABLES MEASURED: Eating behavior (Three-Factor Eating Questionnaire), stress (Perceived Stress Scale), and dietary intake (4-day food records on 4 occasions) were reported. ANALYSIS: Associations between predictors and dietary outcomes were examined with linear mixed-effects models for repeated measurements. RESULTS: Eating behaviors and stress at 6 months did not predict the subsequent change in dietary outcomes, but higher cognitive restraint predicted lower energy intake, and both higher disinhibition and hunger predicted higher energy intake during the following behavior maintenance stage. In addition, higher disinhibition predicted higher saturated fat intake and lower fiber intake, and higher hunger predicted lower fiber intake. Stress was not associated with energy intake or dietary quality. Eating behaviors and stress were not consistently associated with adherence to dietary instructions. CONCLUSIONS AND IMPLICATIONS: Higher cognitive restraint predicted lower energy intake (food quantity), but disinhibition and hunger were also associated with dietary quality.

Factors influencing participation in an online national diabetes prevention programme: A qualitative study with attenders and educators.

AIM: To explore factors affecting participation in the pilot of the synchronous online national diabetes prevention programme (NDPP) in Ireland from the perspectives of those who attended and the educators who recruited for and delivered the programme. METHODS: A qualitative study involving semi-structured interviews and focus groups with NDPP attenders (attended the assessment and at least one session) and educators (dietitians) on the programme. The Framework Method using the Theoretical Domains Framework (TDF) guided the analysis. RESULTS: Thirteen attenders took part in two online focus groups and five online or phone interviews. Eight educators took part. Four themes which cut across the TDF domains were identified as factors influencing participation; (i) lack of awareness of prediabetes and fear of diabetes, relating to attenders' fear of diabetes and lack of knowledge of prediabetes and diabetes prevention; (ii) perceived need for programme support to change health behaviour, concerning attenders' and educators' recognition of the need for the NDPP; (iii) trust in healthcare professionals (HCPs), relating to trust in HCPs to convey the seriousness of prediabetes and the value of diabetes prevention programmes (DPPs) and (iv) practical and personal ease of joining online, relating to the flexibility and accessibility of the synchronous online group format, the IT skills of attenders and educators and apprehension about group education. CONCLUSIONS: Raising awareness of prediabetes and the need for prevention programmes should be a priority for health services and HCPs. The synchronous online group format was seen as less daunting to join than a face-to-face programme and may be a useful option to encourage participation.

Effects of 6-month episodic future thinking training on delay discounting, weight loss and HbA1c changes in individuals with prediabetes.

People with prediabetes are at risk for type 2 diabetes. They may discount the future delay discounting (DD), and not engage in preventive health behaviors. Episodic future thinking (EFT) can reduce DD when future scenarios are cued, but research is needed to assess long-term effects of EFT and when EFT is not cued. This study tested EFT training compared to control for people with prediabetes enrolled in a 6-month weight loss program on DD, weight, HbA1c, and physical activity. Results showed a reliable EFT effect on reducing DD in cued (p = 0.0035), and uncued DD tasks (p = 0.048), and significant overall changes in weight (p < 0.001), HbA1c (p, 0.001) and physical activity (p = 0.003), but no significant differences in these outcomes by group (p's > 0.05). Sixty-eight percent of the sample ended below the prediabetes HbA1c range. These results suggest that DD can be modified over extended periods, and the effects of EFT can be observed without EFT cues. However, these data do not suggest that changes in weight, HbA1c or physical activity were due to EFT training. The study was initiated before the COVID-19 pandemic which provided the opportunity to compare differences for people treated in-person or remotely. Analyses showed no differences in DD, weight, HBA1c or physical activity outcomes were observed between in-person and remote treatment, suggesting telehealth is a scalable approach to treating prediabetes.

Sex-specific impact of major depressive disorder on 12-year change in glycaemic status: Results from a nationwide cohort study of adults without diabetes in Germany.

AIMS: There is evidence for an increased type 2 diabetes (T2D) risk associated with depression, but its role for diabetes prevention remains unclear. This study aimed to add insight by investigating the impact of major depressive disorder (MDD) on prospective glycaemic changes. METHODS: The study was based on a cohort of n = 1,766 adults without diabetes (776 men, 990 women; 18-65 years of age) who participated in the mental health supplement of the German National Health Interview and Examination Survey (GNHIES98-MHS, 1997-1999) and in a follow-up survey (DEGS1, 2008-2011). Glycaemic status was defined as normoglycaemia [HbA1c < 39 mmol/mol (<5.7%)], prediabetes [39 ≤ HbA1c < 48 mmol/mol (5.7-6.4%)] and diabetes [HbA1c ≥ 48 mmol/mol (≥ 6.5%), diagnosed diabetes, or antidiabetic medication], and glycaemic changes categorized as 'remission', 'stability' and 'progression'. Baseline MDD was assessed via a modified German version of the WHO Composite International Diagnostic Interview. Multivariable logistic regressions were applied to analyse the association of MDD with glycaemic changes and incident T2D, adjusting for socio-demographics, lifestyle conditions, chronic diseases, antidepressant use and mental health care. RESULTS: MDD prevalence was 21.4% for women and 8.9% for men. Among women, MDD was associated with a lower chance for remission (RRR 0.43; 95% CI 0.23, 0.82). Among men, MDD was not significantly related to glycaemic changes. MDD had no significant effect on incident T2D (men: OR 1.58; 0.55, 4.52; women: OR 0.76; 0.37, 1.58). CONCLUSIONS: Findings of the current study highlight the role of depression in T2D prevention, particularly among women.

Psychometric assessment of the Brief Weight-Loss-Related Behavior Self-Efficacy Survey in adults with prediabetes.

Self-efficacy is a commonly examined cognitive determinant of behavior change in weight-loss trials, but there has been little uniformity in its measurement. To address this, a recently developed survey captures self-efficacy as it relates to three behavioral domains of interest to weight-loss interventionists: physical activity (PA), healthful eating, and weight loss. The purpose of this study was to test the psychometric properties of the Brief Weight-Loss-Related Behavior Self-Efficacy Scales in a large sample (n = 599) of adults with prediabetes. Participants completed the self-efficacy survey, as well as measures of PA, dietary intake, weight, and height. The factor structure was scrutinized using exploratory and confirmatory factor analysis, which supported a factor structure with three correlated first-order latent self-efficacy factors, specific to PA, healthful eating, and weight loss. This model is statistically equivalent to a hierarchical model including a second-order factor for overall behavioral weight-management self-efficacy. Measurement equivalence/invariance between relevant demographic groups was also supported by tests for equivalence of covariance matrices. Bivariate correlations between self-efficacy factors and measures of PA, dietary intake, and weight support the concurrent validity of score interpretations. Overall, these psychometric analyses support the validity of these scales' scores as independently reflective of self-efficacy for PA, healthful eating, and weight loss. This instrument is useful in clinical research to identify the cognitive drivers of weight loss and weight loss-inducing behavior. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Effectiveness of a Yoga-Based Lifestyle Protocol (YLP) in Preventing Diabetes in a High-Risk Indian Cohort: A Multicenter Cluster-Randomized Controlled Trial (NMB-Trial).

Introduction: Though several lines of evidence support the utility of yoga-based interventions in diabetes prevention, most of these studies have been limited by methodological issues, primarily sample size inadequacy. Hence, we tested the effectiveness of yoga-based lifestyle intervention against diabetes risk reduction in multicentre, large community settings of India, through a single-blind cluster-randomized controlled trial, Niyantrita Madhumeha Bharat Abhiyan (NMB). Research Design and Methods: NMB-trial is a multicentre cluster-randomized trial conducted in 80 clusters [composed of rural units (villages) and urban units (Census Enumeration Blocks)] randomly assigned in a 1:1 ratio to intervention and control groups. Participants were individuals (age, 20-70 years) with prediabetes (blood HbA1c values in the range of 5.7-6.4%) and IDRS ≥ 60. The intervention included the practice of yoga-based lifestyle modification protocol (YLP) for 9 consecutive days, followed by daily home and weekly supervised practices for 3 months. The control cluster received standard of care advice for diabetes prevention. Statistical analyses were performed on an intention-to-treat basis, using available and imputed datasets. The primary outcome was the conversion from prediabetes to diabetes after the YLP intervention of 3 months (diagnosed based upon HbA1c cutoff >6.5%). Secondary outcome included regression to normoglycemia with HbA1c <5.7%. Results: A total of 3380 (75.96%) participants were followed up at 3 months. At 3 months post-intervention, overall, diabetes developed in 726 (21.44%) participants. YLP was found to be significantly effective in halting progression to diabetes as compared to standard of care; adjusted RRR was 63.81(95% CI = 56.55-69.85). The YLP also accelerated regression to normoglycemia [adjusted Odds Ratio (adjOR) = 1.20 (95% CI, 1.02-1.43)]. Importantly, younger participants (≤40 years) were found to regress to normoglycemia more effectively than the older participants Pinteraction<0.001. Conclusion: Based on the significant risk reduction derived from the large sample size, and the carefully designed randomized yoga-based intervention on high-risk populations, the study is a preliminary but strong proof-of-concept for yoga as a potential lifestyle-based treatment to curb the epidemic of diabetes. The observed findings also indicate a potential of YLP for diabetes prevention in low/moderate risk profile individuals that needs large-scale validation. Trial Registration: Clinical Trial Registration Number: CTRI/2018/03/012804.

An Evaluation of the Reach and Effectiveness of a Diabetes Prevention Behaviour Change Program Situated in a Community Site.

More than 350 million people are living with prediabetes. Preventing type 2 diabetes (T2D) progression can reduce morbidity, mortality and health-care costs. Interventions can support people with diet and physical activity behaviour changes; however, many interventions are university-based, posing barriers (e.g. accessibility, limited reach and maintenance), which highlight the need for community intervention. Limited research has comprehensively evaluated programs in community contexts. The purpose of this study was to pragmatically examine the reach and effectiveness of a diabetes prevention behaviour change program in the community using the RE-AIM framework. Demographic and outcome data were collected through telephone screening and survey data, and analyzed using descriptive and multivariate analyses. Over 2 years, 9,954 individuals were identified by a medical laboratory as living with prediabetes. Information letters were sent by the laboratory to individuals upon physician approval (N=2,241, 22.5%) as a main form of recruitment. From this, 271 individuals and an additional 160 individuals via other recruitment methods contacted the research team (N=431). Two hundred thirteen adults with prediabetes were enrolled (87.4% Caucasian, 69.7% female; 95% program completion). Analyses of 6-month follow-up data revealed significant maintenance of reductions in weight and waist circumference and improvements in physical function, self-reported physical activity and all-food frequency items except fruit intake (N=121, d=0.21 to 0.68, p <0.05 to 0.001). The program demonstrated diabetes risk-reducing benefits for enrolled individuals. Future work is needed to increase physician referral and participant response rates and to explore program expansion through digitization to reach more individuals at risk of developing T2D.

Depressive symptoms in Chinese adults with risk factors for diabetes: the Shanghai High-Risk Diabetic Screen (SHiDS) study.

AIMS: To evaluate the relationship between newly diagnosed diabetes or prediabetes and depressive symptoms among individuals with risk factors for diabetes in China. We also investigated the associations of depressive symptoms with pancreatic ß-cell function and insulin resistance. METHODS: We used cross-sectional data from the Shanghai High-Risk Diabetic Screen (SHiDS) project. Between 2014 and 2017, a total of 1728 participants were enrolled in this study and underwent an oral glucose tolerance test to screen for diabetes and prediabetes. Insulin resistance was evaluated using the homeostatic model assessment of insulin resistance and the modified Matsuda index. Pancreatic ß-cell function was calculated using the homeostatic model assessment of ß-cell function, Stumvoll first- and second-phase indexes. Elevated depressive symptoms were determined using the Patient Health Questionnaire-9 (PHQ-9 score ≥ 10). RESULTS: The prevalence of elevated depressive symptoms in the total study population was 4.8% (83 of 1728). Compared with the normal glucose tolerance group, individuals with newly diagnosed diabetes were less likely to have elevated depressive symptoms even after controlling for potential confounders [adjusted odds ratio (OR) 0.35, 95% confidence interval (CI) 0.18-0.68; P = 0.002]. However, prediabetes was not associated with depressive symptoms. The odds for elevated depressive symptoms were increased in individuals with higher levels of the Stumvoll first-phase index. No association was observed between depressive symptoms and insulin resistance. CONCLUSION: Elevated depressive symptoms were less prevalent in Chinese individuals with newly diagnosed diabetes among a high-risk population for diabetes.

"It's a Life Thing, Not a Few Months Thing": Profiling Patterns of the Physical Activity Change Process and Associated Strategies of Women With Prediabetes Over 1 Year.

OBJECTIVES: Engagement in regular physical activity (PA) is a cornerstone prevention strategy for individuals at risk of developing type 2 diabetes. Interventions targeting PA often fail to result in long-term behaviour changes. "Small Steps for Big Changes" is a 3-week diabetes prevention program that promotes PA behaviour changes in individuals with prediabetes through motivational interviewing-informed counselling. METHODS: In this study, we aimed to: a) profile patterns of women's perceived PA journey over 1 year and b) understand strategies used to engage in and maintain PA. Fourteen women (mean age, 60 years) engaged in 4 semistructured interviews (preprogram, postprogram and 3 and 12 months postprogram) over 1 year (56 total interviews). A trajectory approach was used, coupled with a deductive‒inductive thematic analysis. Findings are presented descriptively and chronologically over 1 year. RESULTS: To address the first study aim, 4 patterns emerged: a) consistently inactive: minimal change; b) increase and maintenance of PA levels; c) peak in and maintenance of PA levels and d) consistently active: minimal increase, yet maintenance. Generally, women reported higher PA levels after completing the Small Steps for Big Changes program compared with preprogram levels. Related to the second aim, a range of facilitators and barriers were identified, as well as strategies used to facilitate engagement in and maintenance of PA over 1 year. Participants reporting more strategies to engage in PA were more likely to engage in PA. Commonly used strategies include being self-compassionate and practicing self-regulatory techniques (e.g. goal-setting, planning, self-monitoring). CONCLUSIONS: Diabetes prevention programs that assist participants in utilizing relevant PA strategies during an intervention may witness long-term maintenance of PA behaviour.

PROFAST: A Randomized Trial Assessing the Effects of Intermittent Fasting and Lacticaseibacillus rhamnosus Probiotic among People with Prediabetes.

Both intermittent fasting and specific probiotics have shown promise in improving glucose tolerance with a potential for synergistic effects through alterations to gut microbiota. In this randomized, double-blinded, two-arm feasibility study, we investigated whether intermittent fasting, supplemented with Lacticaseibacillus rhamnosus HN001 probiotic, reduces HbA1c in individuals with prediabetes. All participants with HbA1c 40-50 mmol/mol commenced intermittent fasting (2 days per week of calorie restriction to 600-650 kcal/day) and were randomized 1:1 to either daily probiotic (Lacticaseibacillus rhamnosus HN001) or placebo for 12 weeks. The primary outcome was a change in HbA1c. Secondary outcomes included changes in anthropometry, body composition, glucoregulatory markers, lipids, hunger hormones, liver enzymes, inflammatory markers, gut hormones, calorie and macronutrient intake, quality of life, hunger, mood and eating behavior. Of 33 participants who commenced the trial, 26 participants (mean age 52 years, body mass index (BMI) 34.7 kg/m2) completed the intervention (n = 11 placebo, n = 15 probiotic). HbA1c decreased from 43 ± 2.7 mmol/mol to 41 ± 2.3 mmol/mol, p < 0.001, with average of 5% weight loss. No significant between-group differences were seen in primary or secondary outcomes except for social functioning (p = 0.050) and mental health (p = 0.007) scores as improvements were seen in the probiotic group, but not in the placebo group. This study shows additional psychological benefits of probiotic supplementation during intermittent fasting to achieve weight loss and glycemic improvement in prediabetes.

A randomised on-line survey exploring how health condition labels affect behavioural intentions.

OBJECTIVES: We examined the effect of 'labels' versus 'descriptions' across four asymptomatic health conditions: pre-diabetes, pre-hypertension, mild hyperlipidaemia, and chronic kidney disease stage 3A, on participants' intentions to pursue further tests. There were four secondary objectives: 1) assessing confidence and satisfaction in their intention to test further; 2) revealing psychological drivers affecting intentions; 3) exploring whether intentions, confidence and satisfaction differ by label vs. description and health condition; and 4) producing a perceptual map of illnesses by label condition. METHODS: Practitioner validated health-related scenarios were used. Two variants of each condition were developed. Participants were recruited through Qualtrics from Australia, Ireland and Canada and randomly assigned two 'labelled' or two 'descriptive' scenarios. RESULTS: There was no significant difference in intentions to test between label and description conditions (95% CI -0.76 to 0.33 points, p = 0.4). Confidence and satisfaction were both positively associated with intentions: regression coefficient (ß) for confidence ß = 0.58 points (95% CI 0.49 to 0.68, p < .001) and for satisfaction 0.67 points (95% CI 0.57 to 0.77, p < .001). Predisposition to seek healthcare (ß = 0.72; 95% CI 0.47 to 0.98), attributing illness to bad luck (ß = -0.16 points; 95% CI -0.3 to -0.02), and concern about the health condition (ß = 0.51; 95% CI 0.38 to 0.65) also significantly predicted intentions. CONCLUSIONS: Unlike studies investigating symptomatic illnesses, the disease label effect on behavioural intentions was not supported suggesting that reducing demand for medical services for borderline cases cannot be achieved by labelling. The average intention to test score was higher in this sample than previous symptomatic health-related studies and there was a positive relationship between increased intentions and confidence/satisfaction in one's decision. Exploratory insights suggested perceptions of the four labelled asymptomatic illnesses all shifted toward greater levels of dread and concern compared to their respective description condition. TRIAL REGISTRATION: ACTRN12618000392268.

Higher Perceived Stress and Poor Glycemic Changes in Prediabetics and Diabetics Among Indian Population.

Diabetes mellitus (DM) is a chronic metabolic disorder with significant co-morbidities and healthcare burdens. Many large studies have investigated the association between perceived stress and DM; however, none investigated this in a larger Indian population. We hypothesized stress as one of the reasons for the progression of people with prediabetes into DM. The present study was, therefore, planned to report on associations between perceived stress and blood glucose markers stratified by diabetic status. The current descriptive study was a subset analysis of the nationwide cross-sectional survey, conducted in all Indian zones under the National Multicentric Diabetes Control Program. The study examined the perceived stress levels using a perceived stress scale (PSS-10) in people with prediabetes (n=649) and DM (n=485) and then segregated them into three categories (minimum, moderate, and severe). Blood glucose markers (fasting blood glucose, postprandial blood glucose, and HbA1c) were evaluated to report their association with the perceived stress. The study revealed a significantly higher HbA1c level in people with prediabetes, particularly those with severe perceived stress (6.12 ± 0.27) compared to other categories. Those with DM had a higher fasting blood glucose level, particularly with severe perceived stress (239.28 ± 99.52). An increased HbA1c level is noted in severely stressed people with prediabetes, requiring a comprehensive analysis with a longitudinal study of the role of perceived stress in the progression of prediabetes into DM. Additionally, higher fasting blood glucose levels in patients with DM and severe perceived stress suggests the need for establishing comprehensive diabetic care inclusive of stress management.

Health Literacy and Health Behaviors Among Adults With Prediabetes, 2016 Behavioral Risk Factor Surveillance System.

OBJECTIVES: Evidence is needed for designing interventions to address health literacy-related issues among adults with prediabetes to reduce their risk of developing type 2 diabetes. This study assessed health literacy and behaviors among US adults with prediabetes and the mediating role of health literacy on health behaviors. METHODS: We used data from the 2016 Behavioral Risk Factor Surveillance System (BRFSS) (N = 54 344 adults). The BRFSS health literacy module included 3 questions on levels of difficulty in obtaining information, understanding health care providers, and comprehending written information. We defined low health literacy as a response of "somewhat difficult" or "very difficult" to at least 1 of these 3 questions. Respondents self-reported their prediabetes status. We included 3 health behavior indicators available in the BRFSS survey-current smoking, physical inactivity, and inadequate sleep, all measured as binary outcomes (yes/no). We used a path analysis to examine pathways among prediabetes, health literacy, and health behaviors. RESULTS: About 1 in 5 (19.0%) adults with prediabetes had low health literacy. The rates of physical inactivity (31.0% vs 24.6%, P < .001) and inadequate sleep (38.8% vs 33.5%, P < .001) among adults with prediabetes were significantly higher than among adults without prediabetes. The path analysis showed a significant direct effect of prediabetes and health literacy on health behaviors. The indirect effect of prediabetes through health literacy on health behaviors was also significant. CONCLUSION: BRFSS data from 2016 showed that rates of low health literacy and unhealthy behaviors were higher among adults with prediabetes than among adults without prediabetes. Interventions are needed to assist adults with prediabetes in comprehending, communicating about, and managing health issues to reduce the risk of type 2 diabetes.

Effectiveness of an education intervention associated with an exercise program in improving disease-related knowledge and health behaviours among diabetes patients.

OBJECTIVE: to assess the effectiveness of an education intervention associated with an exercise program in improving knowledge and health behaviours among diabetes patients. METHODS: Diabetes and prediabetes patients were exposed to an evidence- and theoretically-based comprehensive education intervention over 24 weeks. Patients completed surveys assessing knowledge, physical activity, food intake, self-efficacy, and health literacy. Functional capacity was measured by oxygen uptake. All outcomes were assessed pre- and post-CR. Satisfaction about the education provided was assessed at post-CR. Paired t-tests, Pearson correlation coefficients, and linear regression models were computed to investigate the effectiveness of this intervention. RESULTS: 84 patients consented to participate, of which 47(56.0%) completed post-CR assessments. There was a significant improvement in patients' overall knowledge pre- to post-CR, as well as in physical activity, food intake, self-efficacy, and health literacy (p < 0.05). Peak VO2 has clinically significant improved. Results showed a low significant positive correlation was between post-CR knowledge and food intake(r = 0.297;p = 0.04). Linear regression analysis revealed that age(B=-0.051; p = 0.01) was influential in changing post-CR knowledge. CONCLUSION: The benefits of an education intervention designed for diabetes and prediabetes patients associated with an exercise program have been supported. PRACTICE IMPLICATIONS: This work shows one effective education strategy taken in place that can be replicated in different settings.

Risk perception of developing diabetes: A concept analysis.

BACKGROUND: Cognitive risk perception has been linked to health behavior needed to reduce the risk of developing type 2 diabetes. The concept of risk perception of developing diabetes needed review due to: (a) frequent lack of congruency between perceived and actual risk of developing diabetes, and (b) inconsistent measures for calculating perceived diabetes risk. DESIGN: The concept analysis was conducted using the Walker and Avant approach. DATA SOURCES: Dictionary definitions, thesaurus synonyms and antonyms, theoretical sources, and seminal works related generally to risk perception were reviewed. Database searches for studies conducted in the United States measuring perceived risk of developing diabetes, were conducted in PubMed, Embase, and CINAHL; resulting in the selection and review of 23 research articles. RESULTS: The identified dimensions of perceived diabetes risk were: perceived likelihood, personal risk, general risk, cognitive, emotional, comparative risk, and unrealistic optimism. Some antecedents of perceived diabetes risk were motivational factor, individual difference, contextual factor, cognitive factor, and affective factor. A consequence of perceived diabetes risk was health-promoting behaviors. CONCLUSIONS: This concept analysis increases clarity of a multidimensional concept, providing a basis for validity for measurements. Consideration of antecedents for perceived diabetes risk will be important as related to diabetes prevention efforts.