Computer-supported indirect-form lifestyle-modification support program using Lifestyle Intervention Support Software for Diabetes Prevention (LISS-DP) for people with a family history of type 2 diabetes in a medical checkup setting: a randomized controlled trial

Applications of Clinical Decision Support Systems in Diabetes Care: Scoping Review

BACKGROUND

Providing comprehensive and individualized diabetes care remains a significant challenge in the face of the increasing complexity of diabetes management and a lack of specialized endocrinologists to support diabetes care. Clinical decision support systems (CDSSs) are progressively being used to improve diabetes care, while many health care providers lack awareness and knowledge about CDSSs in diabetes care. A comprehensive analysis of the applications of CDSSs in diabetes care is still lacking.

OBJECTIVE

This review aimed to summarize the research landscape, clinical applications, and impact on both patients and physicians of CDSSs in diabetes care.

METHODS

We conducted a scoping review following the Arksey and O'Malley framework. A search was conducted in 7 electronic databases to identify the clinical applications of CDSSs in diabetes care up to June 30, 2022. Additional searches were conducted for conference abstracts from the period of 2021-2022. Two researchers independently performed the screening and data charting processes.

RESULTS

Of 11,569 retrieved studies, 85 (0.7%) were included for analysis. Research interest is growing in this field, with 45 (53%) of the 85 studies published in the past 5 years. Among the 58 (68%) out of 85 studies disclosing the underlying decision-making mechanism, most CDSSs (44/58, 76%) were knowledge based, while the number of non-knowledge-based systems has been increasing in recent years. Among the 81 (95%) out of 85 studies disclosing application scenarios, the majority of CDSSs were used for treatment recommendation (63/81, 78%). Among the 39 (46%) out of 85 studies disclosing physician user types, primary care physicians (20/39, 51%) were the most common, followed by endocrinologists (15/39, 39%) and nonendocrinology specialists (8/39, 21%). CDSSs significantly improved patients' blood glucose, blood pressure, and lipid profiles in 71% (45/63), 67% (12/18), and 38% (8/21) of the studies, respectively, with no increase in the risk of hypoglycemia.

CONCLUSIONS

CDSSs are both effective and safe in improving diabetes care, implying that they could be a potentially reliable assistant in diabetes care, especially for physicians with limited experience and patients with limited access to medical resources.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.37766/inplasy2022.9.0061.

Lifestyle behaviors that reduce food and fat intake in patients with type 2 diabetes within 3 months of diagnosis lead to a reduction in the HbA1c level after 12 months

It is important to provide "Diabetes Self-Management Education and Support," the ongoing process of facilitating the knowledge, skills, and ability necessary for diabetes self-care, immediately after diagnosis. In this 12-month (12 M) longitudinal observational study, outpatients within 3 months of their first diagnosis of type 2 diabetes mellitus (T2DM) were surveyed at baseline (BL) and 12 M using a self-administered questionnaire used in the "Lifestyle Intervention Support Software for Diabetes Prevention" and medical record survey. To explore factors associated with the change extent in HbA1c level during the 12 M post-diagnosis, hierarchical multiple regression analysis was performed with sex, age, HbA1c level at BL, medication in the first 12 M post-diagnosis, and lifestyle behaviors related to diet and exercise therapy as independent variables. The HbA1c level of the 89 participants was 8.4% ± 2.2% at BL and 6.7% ± 1.0% at 12 M. "ND06 I add milk to coffee or tea (reverse item)" (β = -0.110, p = 0.015), "RD15 I eat vegetable dishes such as a vegetable side dish and/or a vinegar or pickle dish" (β = 0.151, p = 0.003), "ND02 I eat until I feel full (reverse item)" (β = -0.115, p = 0.024), and "RD14 I select udon or soba instead of Chinese noodles in soups" (β = -0.113, p = 0.007) were associated with the change extent in the HbA1c level during the 12 M post-diagnosis. Overall, it may be useful to support patients with T2DM early post-diagnosis to improve lifestyle behaviors associated with the extent of change in HbA1c level during the 12 M post-diagnosis.

Behavioral Counseling Interventions to Promote a Healthy Diet and Physical Activity for Cardiovascular Disease Prevention in Adults Without Known Cardiovascular Disease Risk Factors: Updated Evidence Report and Systematic Review for the US Preventive Services Task Force

IMPORTANCE

Unhealthful dietary patterns, low levels of physical activity, and high sedentary time increase the risk of cardiovascular disease.

OBJECTIVE

To synthesize the evidence on benefits and harms of behavioral counseling interventions to promote a healthy diet and physical activity in adults without known cardiovascular disease (CVD) risk factors to inform a US Preventive Services Task Force recommendation.

DATA SOURCES

MEDLINE, PsycINFO, and the Cochrane Central Register of Controlled Trials through February 2021, with ongoing surveillance through February 2022.

STUDY SELECTION

Randomized clinical trials (RCTs) of behavioral counseling interventions targeting improved diet, increased physical activity, or decreased sedentary time among adults without known elevated blood pressure, elevated lipid levels, or impaired fasting glucose.

DATA EXTRACTION AND SYNTHESIS

Independent data abstraction and study quality rating and random effects meta-analysis.

MAIN OUTCOMES AND MEASURES

CVD events, CVD risk factors, diet and physical activity measures, and harms.

RESULTS

One-hundred thirteen RCTs were included (N = 129 993). Three RCTs reported CVD-related outcomes: 1 study (n = 47 179) found no significant differences between groups on any CVD outcome at up to 13.4 years of follow-up; a combined analysis of the other 2 RCTs (n = 1203) found a statistically significant association of the intervention with nonfatal CVD events (hazard ratio, 0.27 [95% CI, 0.08 to 0.88]) and fatal CVD events (hazard ratio, 0.31 [95% CI, 0.11 to 0.93]) at 4 years. Diet and physical activity behavioral counseling interventions were associated with small, statistically significant reductions in continuous measures of blood pressure (systolic mean difference, -0.8 [95% CI, -1.3 to -0.3]; 23 RCTs [n = 57 079]; diastolic mean difference, -0.4 [95% CI, -0.8 to -0.0]; 24 RCTs [n = 57 148]), low-density lipoprotein cholesterol level (mean difference, 2.2 mg/dL [95% CI, -3.8 to -0.6]; 15 RCTs [n = 6350]), adiposity-related outcomes (body mass index mean difference, -0.3 [95% CI, -0.5 to -0.1]; 27 RCTs [n = 59 239]), dietary outcomes, and physical activity at 6 months to 1.5 years of follow-up vs control conditions. There was no evidence of greater harm among intervention vs control groups.

CONCLUSIONS AND RELEVANCE

Healthy diet and physical activity behavioral counseling interventions for persons without a known risk of CVD were associated with small but statistically significant benefits across a variety of important intermediate health outcomes and small to moderate effects on dietary and physical activity behaviors. There was limited evidence regarding the long-term health outcomes or harmful effects of these interventions.

Community-Based Interventions to Reduce Fat Intake in Healthy Populations: A Systematic Review and Meta-Analysis

Background:

Reducing fat intake is a major focus of most dietary recommendations aiming to prevent chronic diseases. Thus, this study aimed to summarize community-based interventions for reducing fat consumption among healthy people.

Methods:

According to PRISMA guidelines, in this systematic review and meta-analysis databases including PubMed/MEDLINE, Scopus, EMBASE, Cochrane Library, Web of Science, ProQuest, and Google Scholar were searched up to January 2021. Randomized clinical trials (RCTs) or quasi-experimental studies reporting the effect of community-based interventions to reduce fat intake in a healthy populations were included. The quality of studies was assessed using the Cochrane Collaboration tool and The Joanna Briggs Institute Critical Appraisal Checklist. Meta-analysis was performed using CMA2 software.

Results:

Our search strategy resulted in a total of 1,621 articles, 43 of which were included in the study after screening. Of the 43 included studies, 35 studies reported a significant decrease in fat intake using educational and multiple intervention methods. About 82% of studies using the technology were effective (significant decrease in fat intake) in reducing fat intake. Moreover, studies specifically designed to change fat intake were more effective than multicomponent interventions. The meta-analysis of high-quality studies showed that the differences in total fat (-0.262 g/d) and saturated fat (-0.350 g/d) intake between the intervention and control groups were statistically significant (P<0.05).

Conclusion:

Based on the high-quality studies, educational and multiple interventions are suggested in the community settings to decrease fat intake. For a concise conclusions, long-term and high frequency interventions focusing on reducing fat intake are desirable.

Technology in Diabetes Treatment: Update and Future

Worldwide the number of people with diabetes mellitus is increasing. There are estimations that diabetes is one of the leading causes of death. The most important goals for the treatment of diabetes are self-management of the disease and an optimal quality of diabetes control. In the therapy new technologies, like real-time continuous interstitial glucose monitoring, continuous subcutaneous insulin infusion (CSII), electronic tools for the monitoring of therapeutic approaches, automated bolus calculators for insulin and electronic tools for education and information of patients, have become widespread and play important roles. All these efforts are related to the interaction between patients, caregivers, scientists or researchers and industry. The presentation of different aspects of new technological approaches in the present article should give more information about different technologies. However, because of the rather quickly appearance of new technologies, the presentation can only be a spotlight. Further studies are mandatory to analyze the effects and long-term benefits of each technology and electronic device.

Translating Healthy Living Messages to Postpartum Women and Their Partners After Gestational Diabetes (GDM): Body Habitus, A1C, Lifestyle Habits, and Program Engagement Results From the Families Defeating Diabetes (FDD) Randomized Trial

PURPOSE

The Families Defeating Diabetes intervention evaluated a postpartum healthy living program for women with recent gestational diabetes mellitus (GDM).

DESIGN

Randomized controlled trial.

SETTING

Tertiary centers in London, Calgary, and Victoria, Canada.

PARTICIPANTS

Women with GDM and partners; 46% of eligible maternal participants agreed to participate.

INTERVENTION

Interventional (INT) participants received a healthy living seminar at 3 months; access to a walking group/Website; biweekly e-mails. Control (CON) participants received a contemporary postpartum diabetes prevention handout.

MEASURES

Maternal, partner, and offspring demographics at baseline, 3, and 12 months.

ANALYSIS

Percentages of women losing ≥7% of postpartum weight were compared by χ² testing; body habitus comparisons by analysis of covariance (ANCOVA); maternal A1C comparisons by unpaired t tests; participant outcome associations by Pearson correlation coefficients.

RESULTS

Maternal participants were 170 (89 INT and 81 CON) with 63 partners (30 INT and 33 CON); 103 (73 maternal; 30 partners) were lost to follow-up; 57% of maternal participants completed 12 months; 33% INT women (n = 50) lost ≥7% weight versus 25% CON women (n = 47), P = .43. Interventional participant results did not correlate with accession of study elements. Maternal completion was significantly associated with partner involvement, breastfeeding, higher income, and education. Paternal weights correlated significantly with maternal and offspring weights.

CONCLUSION

Families Defeating Diabetes outcomes were not significantly different for INT maternal or paternal participants versus CON participants. Secondary outcomes of future value included statistically significant positive associations between paternal participation, socioeconomic indicators, and maternal study completion, significant correlations between maternal, paternal, and offspring weights as well as insights into study component engagement.

Interventions for prevention of type 2 diabetes in relatives: A systematic review

The relatives and partners of people with type 2 diabetes are at increased risk of developing type 2 diabetes. This systematic review examines randomized controlled trials, written in English that tested an intervention, which aimed to modify behaviors known to delay or prevent type 2 diabetes, among the relatives or partners of people with type 2 diabetes. Study quality was assessed using the Cochrane Collaboration's tool for assessing risk of bias. Seven studies met the inclusion criteria. The majority of studies were at low risk of bias. Six studies tested an intervention in first-degree relatives of people with type 2 diabetes and one in partners. Intervention components and intervention intensity across studies varied, with those targeting diet and physical activity reporting the most significant changes in primary outcomes. Only one study did not observe significant changes in primary outcomes. There were three main recruitment approaches: advertising in the community, recruiting people through their relatives with diabetes, or identifying people as high risk by screening of their own health care contacts. Some evidence was found for potentially successful interventions to prevent type 2 diabetes among the relatives and partners of people with type 2 diabetes, although finding simple and effective methods to identify and recruit them remains a challenge. Future studies should explore the effect of patients' perceptions on their family members' behavior and capitalize on family relationships in order to increase intervention effectiveness.

Evaluation of 'I-Preventive': a digital preventive tool for musculoskeletal disorders in computer workers-a pilot cluster randomised trial

OBJECTIVES

I-Preventive is a digital preventive tool for musculoskeletal disorders (MSDs) in computer workers. We sought to determine its impact on pain in computer workers with upper limb MSDs and visual discomfort.

METHODS

We conducted a pilot cluster randomised trial in 2 different sites of a tyre factory in France. We randomised 200 employees to either an intervention group (I-Preventive) or control group, each comprising symptomatic and asymptomatic employees. The workers were followed up for 5 months. The main outcome was overall recovery from symptoms following 1 month's intervention based on Nordic-style and eyestrain questionnaires.

RESULTS

We included 185/200 workers: 96 in the intervention group (mean age 41.8±1.4 years; 88.5% males) and 79 in the control group (mean age 42.9±12.0 years; 94.5% males). The most painful areas (numerical scale ≥2) were the neck (40.0%), upper back (18.8%) and shoulders (15.7%). For the most painful anatomical area, the Nordic score significantly decreased after 1 month in the intervention group (p=0.038); no change was observed in the control group (p=0.59). After 1 month's use, the intervention group reported less pain in the painful area and less visual discomfort symptoms (p=0.02). Adherence to the I-Preventive program was 60%.

CONCLUSIONS

I-Preventive is effective in the short term on musculoskeletal symptoms and visual discomfort by promoting active breaks and eyestrain treatment. This easy-to-use digital tool allows each worker to focus on areas of their choice via personalised, easy exercises that can be performed in the workplace.

TRIAL REGISTRATION NUMBER

NCT02350244; Pre-results.

Prevalence and screening for risk factors of type 2 diabetes in Rize, Nourtheast Turkey: findings from a population-based study

AIMS

We aimed to determine the prevalence of diagnosed and undiagnosed diabetes, risk factors affecting the healthy population, and factors that increase diabetes risk in the adult northeast Turkish population.

METHODS

Using population proportional cluster sampling, 930 adults were selected. After excluding people with diabetes, risk screening was conducted in the healthy population (n: 825) using the Information Form and FINDRISK questionnaire. Fasting venous blood and biochemical parameters were measured.

RESULTS

Prevalence of diabetes was 13.6% (new % 2.3), translating to approximately 44 thousand adults. Among the healthy population, 37.5% had high risk. Prevalence of not exercising (78.2%), obesity (36.1%), and hypertension (24.5%) were high. Predictors of risk of diabetes were aging (OR 1.09), low education (OR 0.51), familial diabetes history (OR 15.27), not exercising (OR 0.41), obesity (OR 5.17), high waist circumference (OR 1.05), heart disease (OR 4.81), and hypertension (OR 2.60).

CONCLUSIONS

This study can stimulate early screening for cardiovascular diseases and hypertension and initiating aggressive treatments in people with high diabetes risk. In primary health services, number of doctors and nurses trained in diabetes should be increased and dieticians should be involved. People with high risk should receive lifestyle regulations training.