Perceived diabetes risk and related determinants in individuals with high actual diabetes risk: results from a nationwide population-based survey

Diabetes self-management education programs: Results from a nationwide population-based study on characteristics of participants, rating of programs and reasons for non-participation

OBJECTIVE

Population-based studies of reasons for not participating in diabetes self-management education (DSME) are scarce. Therefore, we investigated what sociodemographic and disease-related factors are associated with participation in DSME, the reasons for not participating in DSME and how participants evaluate DSME.

RESEARCH DESIGN AND METHODS

We used data from the nationwide survey "Disease knowledge and information needs-Diabetes mellitus 2017", which included a total of 1396 participants diagnosed with diabetes mellitus (diabetes; n = 394 DSME-participants, n = 1002 DSME-never-participants). Analyses used weighted logistic or multinominal regression analyses with bivariate and multivariable approaches.

RESULTS

Participants were more likely to attend DSME if they had a medium (OR 1.82 [95%CI 1.21-2.73]),or high (OR 2.04 [95%CI 1.30-3.21]) level of education, had type 1 diabetes (OR 2.46 [1.24-4.90]) and insulin treatment (OR 1.96 [95%CI 1.33-2.90]). Participants were less likely to attend DSME if they lived in East Germany (OR 0.57 [95%CI 0.39-0.83]), had diabetes for >2 to 5 years (OR 0.52 [95%CI 0.31-0.88] compared to >5 years), did not agree that diabetes is a lifelong disease (OR 0.30 [95%CI 0.15-0.62], had never been encouraged by their physician to attend DSME (OR 0.19 [95%CI 0.13-0.27]) and were not familiar with disease management programs (OR 0.67 [95%CI 0.47-0.96]). The main reasons for non-participation were participant's personal perception that DSME was not necessary (26.6%), followed by lack of recommendation from treating physician (25.7%) and lack of information on DSME (20.7%). DSME-participants found DSME more helpful if they had a medium educational level (OR 2.06 [95%CI 1.10-3.89] ref: low level of education) and less helpful if they were never encouraged by their treatment team (OR 0.46 [95%CI 0.26-0.82]).

DISCUSSION

Professionals treating persons with diabetes should encourage their patients to attend DSME and underline that diabetes is a lifelong disease. Overall, the majority of DSME participants rated DSME as helpful.

A systematic review on the level of risk perception of diabetes mellitus: The role of environmental factor

BACKGROUND

Risk perception plays important role in motivating preventive health behaviours. The objective of this systematic review was to explore the level of diabetes risk perception among individuals with and without apparent risk for diabetes, and to consider the effect of environmental factors on the level of diabetes risk perception.

METHODS

This systematic review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The literature search was carried out through PubMed, Web of Science, and Scopus. Original articles written in English and published between 2013 and 2023 were considered. Study quality was appraised using the Mixed Methods Appraisal Tool. Narrative synthesis was undertaken due to methodological heterogeneity in the included studies.

RESULTS

A total of 13 cross-sectional studies, two randomized controlled trials, two cohort studies, two mixed methods studies and one quasi-experiment with a control group were included. An overall low level of diabetes risk perception was reported particularly in those without apparent risk for diabetes. The 20 included studies reported widely varied measures for calculating diabetes risk perception. The influence of environmental factors on the risk perception of diabetes was highlighted.

LIMITATIONS

The use of study-specific and non-validated measures in the included studies weakens the authors' ability to compare across studies. The role of language and publication bias within this systematic review should be acknowledged as we included only English-language studies published in peer-reviewed journals. Another limitation is the exclusion of dimensions of risk perception such as optimistic bias as search terms.

CONCLUSION

The overall low risk perception of diabetes calls for urgent need of public health interventions to increase the risk perception of diabetes. In the future, researchers should ensure the validity and reliability of the measures being used. The influence of environmental factors on the diabetes risk perception indicates that diabetes preventive interventions targeting environmental factors may be effective in increasing the risk perception of diabetes.

Unlocking Potential: Personalized Lifestyle Therapy for Type 2 Diabetes Through a Predictive Algorithm-Driven Digital Therapeutic

BACKGROUND

We present a digital therapeutic (DTx) using continuous glucose monitoring (CGM) and an advanced artificial intelligence (AI) algorithm to digitally personalize lifestyle interventions for people with type 2 diabetes (T2D).

METHOD

A study of 118 participants with non-insulin-treated T2D (HbA1c ≥ 6.5%) who were already receiving standard care and had a mean baseline (BL) HbA1c of 7.46% (0.93) used the DTx for three months to evaluate clinical endpoints, such as HbA1c, body weight, quality of life and app usage, for a pre-post comparison. The study also included an assessment of initial long-term data from a second use of the DTx.

RESULTS

After three months of using the DTx, there was an improvement of 0.67% HbA1c in the complete cohort and -1.08% HbA1c in patients with poorly controlled diabetes (BL-HbA1c ≥ 7.0%) compared with standard of care (P < .001). The number of patients within the therapeutic target range (< 7.0%) increased from 38% to 60%, and 33% were on the way to remission (< 6.5%). Patients who used the DTx a second time experienced a reduction of -0.76% in their HbA1c levels and a mean weight loss of -6.84 kg after six months (P < .001) compared with BL.

CONCLUSIONS

These results indicate that the DTx has clinically relevant effects on glycemic control and weight reduction for patients with both well and poorly controlled diabetes, whether through single or repeated usage. It is a noteworthy improvement in T2D management, offering a non-pharmacological, fully digital solution that integrates biofeedback through CGM and an advanced AI algorithm.

Type 2 diabetes among people with selected citizenships in Germany: risk, healthcare, complications

Background

Migration-related factors, such as language barriers, can be relevant to the risk, healthcare and complications of type 2 diabetes in people with a history of migration. Diabetes-related data from people with selected citizenships were analysed on the basis of the nationwide survey German Health Update: Fokus (GEDA Fokus).

Methods

The diabetes risk of persons without diabetes (n = 4,698, 18 - 79 years), key figures on healthcare and secondary diseases of persons with type 2 diabetes (n = 326, 45 - 79 years) and on concomitant diseases (n = 326 with type 2 diabetes compared to n = 2,018 without diabetes, 45 - 79 years) were stratified according to sociodemographic and migration-related characteristics.

Results

Better German language proficiency is associated with a lower risk of diabetes. Diabetes-related organ complications are observed more frequently in persons who report experiences of discrimination in the health or care sector. Both persons with and without diabetes are more likely to have depressive symptoms when they reported experiences of discrimination. A stronger sense of belonging to the society in Germany is associated with reporting depressive symptoms less often in people without diabetes, but not in people with type 2 diabetes.

Conclusions

The differences according to migration-related characteristics indicate a need for improvement in the prevention and care of type 2 diabetes. Migration-sensitive indicators should be integrated into the surveillance of diabetes.

What is meant by 'integrated personalized diabetes management': A view into the future and what success should look like

Integrated personalized diabetes management (IPDM) has emerged as a promising approach to improving outcomes in patients with diabetes mellitus (DM). This care approach emphasizes the integration and coordination of different providers, including physicians, nurses, dietitians, social workers and pharmacists. The goal of IPDM is to provide patients with personalized care that is tailored to their needs. This review addresses the concept of integrated care and the use of technology (including data, software applications and artificial intelligence) as well as managerial, regulatory and financial aspects. The implementation and upscaling of digitally enabled IPDM are discussed, with elaboration of successful practices and related evidence. Finally, recommendations are made. It is concluded that the adoption of digitally enabled IPDM on a global level is inevitable, considering the challenges created by an increasing prevalence of patients with DM and the need for better outcomes and improvement of health system sustainability.

Intersectional analysis of social disparities in type 2 diabetes risk among adults in Germany: results from a nationwide population-based survey

BACKGROUND

Differences in type 2 diabetes risk have been reported for several sociodemographic determinants including sex/gender or socioeconomic status. From an intersectional perspective, it is important to not only consider the role of social dimensions individually, but also their intersections. This allows for a deeper understanding of diabetes risk and preventive needs among diverse population groups.

METHODS

As an intersectionality-informed approach, multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) was used in a population-based sample of adults without known diabetes in Germany from the cross-sectional survey "Disease knowledge and information needs- Diabetes mellitus (2017)". Diabetes risk was assessed by the German Diabetes Risk Score (GDRS, range 0-122 points), estimating the individual risk of developing type 2 diabetes within the next 5 years based on established self-reported risk factors. Nesting individuals in 12 intersectional strata defined by combining sex/gender, educational level, and history of migration, we calculated measures to quantify the extent to which individual differences in diabetes risk were explained at strata level, and how much this was due to additive or multiplicative intersectional effects of social determinants.

RESULTS

Drawing on data of 2,253 participants, we found good discriminatory accuracy of intersectional strata (variance partition coefficient = 14.00% in the simple intersectional model). Model-predicted GDRS means varied between 29.97 (corresponding to a "low risk" of < 2%) in women with high educational level and a history of migration, and 52.73 ("still low risk" of 2-5%) in men with low educational level without a history of migration. Variance in GDRS between strata was mainly explained by additive effects of social determinants (proportional change in variance to intersectional interaction model = 77.95%) with being male and having low educational level being associated with higher GDRS. There was no evidence of multiplicative effects in individual strata.

CONCLUSIONS

Type 2 diabetes risk differed between intersectional strata and can to some extent be explained at strata level. The role of intersectional effects was minor and needs to be further investigated. Findings suggest a need for specific preventive measures targeted at large groups with increased diabetes risk, such as men and persons with low educational level.

Perception of inherited risk in type 2 diabetes: a systematic review

Introduction

A family history is impacting the individual's risk perception. The objective of this systematic review was to describe inherited risk perceptions of type 2 diabetes from the citizen's viewpoint. The aim was to summarize and increase understanding so that the increased knowledge could be used effectively in type 2 diabetes risk communication in health care.

Methods

We conducted a systematic review using CINAHL, Medline, and Scopus databases for hereditary, risk, perception, and diabetes related concepts, within the date range of 1.1.2017 to 2.8.2022. Eligible articles were English, peer-reviewed, and addressed the research question: how is hereditary risk of type 2 diabetes perceived? Returns were viewed independently by two authors, and evaluated using the appraisal criteria of the Joanna Briggs Institute. A thematic analysis was used for the synthesis of the data, yielding three themes describing perceptions of inherited risk in type 2 diabetes.

Results

A total of 32 articles were included, of which 23 were quantitative, 5 qualitative, and 4 were mixed-methods studies. The extracted themes were (1) Identifying heredity as a risk factor, (2) Diversity of hereditary risk, and (3) Perception of the magnitude of personal risk.

Discussion

The perception towards hereditary risk can vary from a desire to actively make a lifestyle change, to the view that diabetes is inevitable regardless of lifestyle. A positive family history increases the risk perception of type 2 diabetes, but the perceived magnitude of the risk may vary from person to person. The findings have the potential to be applied in healthcare's risk communication.

Risk perception of non-communicable diseases: A systematic review on its assessment and associated factors

BACKGROUND

The burden of non-communicable diseases (NCDs) is increasing. Risk perception of NCDs is an important factor towards the uptake of preventive health interventions. There are various questionnaires assessing risk perception of NCDs, but no internationally standardized questionnaire has been available. Identification of factors associated with risk perception of NCDs may facilitate the development of targeted interventions. This systematic review aims to identify available questionnaire assessing risk perception of NCDs and the factors associated with risk perception of NCDs.

METHODS

The reporting of this systematic review is in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We carried out a literature search through three databases (Scopus, PubMed, Web of Science) and targeted original article published in English between 2012 and 2021. Quality appraisal of the eligible articles was conducted using the Mixed Methods Appraisal Tool. Findings were synthesized using content analysis.

RESULTS

A total of 86 studies were included. We found a variety of questionnaires assessing risk perception of NCDs, with many differences in their development, domains, items and validity. We also identified several personal, sociopsychological and structural factors associated with risk perception of NCDs.

LIMITATIONS

Most of the included studies were of cross-sectional design, and therefore the quality of evidence was considered low and exhibit a high risk of bias. The role of publication bias within this systematic review should be acknowledged as we did not include grey literature. Additionally, language bias must be considered as we only included English-language publications.

CONCLUSION

Further development and testing of available questionnaire is warranted to ensure their robustness and validity in measuring risk perception of NCDs. All the identified factors deserve further exploration in longitudinal and experimental studies.

Measurement of Perceived Risk of Developing Diabetes Mellitus: A Systematic Literature Review

BACKGROUND

This systematic review describes approaches to measuring perceived risk of developing type 2 diabetes among individuals without diagnoses and describes the use of theories, models, and frameworks in studies assessing perceived risk. While a systematic review has synthesized perceived risk of complications among individuals with diabetes, no reviews have systematically assessed how perceived risk is measured among those without a diagnosis.

METHODS

Medline, PubMed, PsycINFO, and CINAHAL databases were searched for studies conducted through October 2022 with measures of perceived risk among adults ≥ 18 years without a diabetes diagnosis. Extracted data included study characteristics, measures, and health behavior theories, models, or frameworks used.

RESULTS

Eighty-six studies met inclusion criteria. Six examined perceived risk scales' psychometric properties. Eighty measured perceived risk using (1) a single item; (2) a composite score from multiple items or subconstructs; and (3) multiple subconstructs but no composite score. Studies used items measuring "comparative risk," "absolute or lifetime risk," and "perceived risk" without defining how each differed. Sixty-four studies used cross-sectional designs. Twenty-eight studies mentioned use of health behavior theories in study design or selection of measures.

DISCUSSION

There was heterogeneity in how studies operationalized perceived risk; only one third of studies referenced a theory, model, or framework as guiding design or scale and item selection. Use of perceived lifetime risk, absolute risk, or comparative risk limits comparisons across studies. Consideration of context, target population, and how data are utilized is important when selecting measures; we present a series of questions to ask when selecting measures for use in research and clinical settings. This review is the first to categorize how perceived risk is measured in the diabetes prevention domain; most literature focuses on perceived risk among those with diabetes diagnoses. Limitations include exclusion of non-English and gray literature and single reviewer screening and data extraction.

Perceived Chronic Stress Is Associated With the German Diabetes Risk Score Among Adults Without Known Diabetes in Germany

OBJECTIVE

There is evidence that psychological distress increases the risk of type 2 diabetes (T2D), but implications for prevention remain elusive. We examined the association between chronic stress and the German Diabetes Risk Score (GDRS) among adults without diabetes in Germany.

METHODS

The study population consisted of 4654 persons aged 18 to 64 years without known diabetes drawn from the German Health Interview and Examination Survey for Adults (2008-2011). The predicted 5-year T2D risk (in percent) was estimated using the GDRS. Perceived chronic stress was assessed by the Screening Scale of the Trier Inventory for the Assessment of Chronic Stress and categorized into "up to average," "above average," and "high." The cross-sectional association of chronic stress with log-transformed GDRS (expressed as geometric mean ratio [GMR]) was analyzed in multivariable linear regression models. Covariables included age, sex, community size, region, educational level, living alone, social support, depression, and alcohol use.

RESULTS

The mean predicted 5-year T2D risk rates were 2.7%, 2.9%, and 3.0% for chronic stress up to average, above average, and high chronic stress, respectively. Adjusted mean predicted 5-year risk was significantly higher among persons with chronic stress above average (GMR = 1.10, 95% confidence interval = 1.02-1.19) and high stress (GMR = 1.21, 95% CI = 1.06-1.39) compared with persons with chronic stress up to average. No interactions with sex or other covariables were found.

CONCLUSIONS

Perceived chronic stress is independently associated with an increased predicted T2D risk in cross-sectional analysis and should be considered as T2D risk factor in longitudinal studies.

Protocol: Implementation and evaluation of an adolescent-mediated intervention to improve glycemic control and diabetes self-management among Samoan adults

BACKGROUND

Diagnoses of Type 2 Diabetes in the United States have more than doubled in the last two decades. One minority group at disproportionate risk are Pacific Islanders who face numerous barriers to prevention and self-care. To address the need for prevention and treatment in this group, and building on the family-centered culture, we will pilot test an adolescent-mediated intervention designed to improve the glycemic control and self-care practices of a paired adult family member with diagnosed diabetes.

METHODS

We will conduct a randomized controlled trial in American Samoa among n = 160 dyads (adolescent without diabetes, adult with diabetes). Adolescents will receive either a six-month diabetes intervention or a leadership and life skills-focused control curriculum. Aside from research assessments we will have no contact with the adults in the dyad who will proceed with their usual care. To test our hypothesis that adolescents will be effective conduits of diabetes knowledge and will support their paired adult in the adoption of self-care strategies, our primary efficacy outcomes will be adult glycemic control and cardiovascular risk factors (BMI, blood pressure, waist circumference). Secondarily, since we believe exposure to the intervention may encourage positive behavior change in the adolescent themselves, we will measure the same outcomes in adolescents. Outcomes will be measured at baseline, after active intervention (six months post-randomization) and at 12-months post-randomization to examine maintenance effects. To determine potential for sustainability and scale up, we will examine intervention acceptability, feasibility, fidelity, reach, and cost.

DISCUSSION

This study will explore Samoan adolescents' ability to act as agents of familial health behavior change. Intervention success would produce a scalable program with potential for replication in other family-centered ethnic minority groups across the US who are the ideal beneficiaries of innovations to reduce chronic disease risk and eliminate health disparities.

Establishment of dynamic nomogram and risk score models for T2DM: a retrospective cohort study in Beijing

BACKGROUND

Health interventions can delay or prevent the occurrence and development of diabetes. Dynamic nomogram and risk score (RS) models were developed to predict the probability of developing type 2 diabetes mellitus (T2DM) and identify high-risk groups.

METHODS

Participants (n = 44,852) from the Beijing Physical Examination Center were followed up for 11 years (2006-2017); the mean follow-up time was 4.06 ± 2.09 years. Multivariable Cox regression was conducted in the training cohort to identify risk factors associated with T2DM and develop dynamic nomogram and RS models using weighted estimators corresponding to each covariate derived from the fitted Cox regression coefficients and variance estimates, and then undergone internal validation and sensitivity analysis. The concordance index (C-index) was used to assess the accuracy and reliability of the model.

RESULTS

Of the 44,852 individuals at baseline, 2,912 were diagnosed with T2DM during the follow-up period, and the incidence density rate per 1,000 person-years was 16.00. Multivariate analysis indicated that male sex (P < 0.001), older age (P < 0.001), high body mass index (BMI, P < 0.05), high fasting plasma glucose (FPG, P < 0.001), hypertension (P = 0.015), dyslipidaemia (P < 0.001), and low serum creatinine (sCr, P < 0.05) at presentation were risk factors for T2DM. The dynamic nomogram achieved a high C-index of 0.909 in the training set and 0.905 in the validation set. A tenfold cross-validation estimated the area under the curve of the nomogram at 0.909 (95% confidence interval 0.897-0.920). Moreover, the dynamic nomogram and RS model exhibited acceptable discrimination and clinical usefulness in subgroup and sensitivity analyses.

CONCLUSIONS

The T2DM dynamic nomogram and RS models offer clinicians and others who conduct physical examinations, respectively, simple-to-use tools to assess the risk of developing T2DM in the urban Chinese current or retired employees.

Perceived risk for diabetes among U.S. adults with undiagnosed prediabetes

The purpose was to examine the degree to which perceived risk for diabetes differed by race and ethnicity among U.S. adults with undiagnosed prediabetes. The study was a cross-sectional analysis of data from 4005 participants (aged ≥20 years) in the National Health and Nutrition Examination Survey (NHANES) program between 2011 and 2018. Individuals with prediabetes were identified using glycohemoglobin (HbA_1c) data. Logistic regression was used to estimate the association between race and ethnicity and perceived risk of diabetes while adjusting for age and sex, educational level, family history of diabetes, BMI, and healthcare factors (health insurance coverage and routine place to go for healthcare). Nearly three-quarters (71.8%) of adults with undiagnosed prediabetes reported no perceived risk for diabetes. Rates of perceived risk for diabetes did not change significantly in any racial and ethnic groups from 2011 to 12 to 2017-18. In models adjusted for individual characteristics, identifying as Non-Hispanic Black was associated with a 34% higher likelihood of reporting no perceived risk compared to identifying as Non-Hispanic White (OR 1.34, 95% CI:1.03-1.74). Identifying as Hispanic was associated with a 29% higher likelihood of reporting no perceived risk compared to identifying as Non-Hispanic White (OR 1.29, 95% CI: 1.01, 1.66). Healthcare factors may have less influence on diabetes risk perception. Future public health efforts should improve diabetes risk communication efforts across racial and ethnic groups, emphasizing Non-Hispanic Black and Hispanic populations.

Structured diabetes self-management education and its association with perceived diabetes knowledge, information, and disease distress: Results of a nationwide population-based study

OBJECTIVE

To evaluate, how participation in structured diabetes self-management education (DSME) programs is associated with perceived level of knowledge about diabetes, information needs, information sources and disease distress.

METHODS

We included 796 ever- and 277 never-DSME participants of the population-based survey "Disease knowledge and information needs - Diabetes mellitus (2017)" from Germany. Data on perceived level of diabetes knowledge (12 items), information needs (11 items), information sources (13 items) and disease distress (2 indices) were collected. Multiple logistic regression analyses were used to examine the association of DSME-participation with these outcomes.

RESULTS

DSME-participants showed a higher level of diabetes knowledge compared to never-DSME participants, particularly in aspects concerning diabetes in general (odds ratio 2.53; 95% confidence intervals 1.48-4.33), treatment (2.41; 1.36-4.26), acute complications (1.91; 1.07-3.41) and diabetes in everyday life (1.83; 1.04-3.22). DSME-participants showed higher information needs regarding late complications (1.51; 1.04-2.18) and acute complications (1.71; 1.71-2.48) than DSME never participants. DSME-participants more frequently consulted diabetologists (5.54; 3.56-8.60) and diabetes care specialists (5.62; 3.61-8.75) as information sources. DSME participation was not associated with disease distress.

CONCLUSION

DSME is a valuable tool for improving individual knowledge about diabetes. However, DSME should focus more on psychosocial aspects to reduce the disease burden.

Perceived Risk of Diabetes Among Vietnamese Americans with Prediabetes: A Mixed Methods Study (Preprint)

BACKGROUND

Vietnamese Americans have a relatively high risk of developing diabetes at younger ages, yet there are no published studies exploring their risk perceptions.

OBJECTIVE

This mixed methods study describes perceived diabetes risk in the context of an underserved population.

METHODS

This study was guided by the Common-Sense Model of Self-Regulation. Snowball sampling was used to recruit 10 Vietnamese Americans with prediabetes and achieve data saturation. Qualitative and quantitative descriptive methodologies with data transformation were used to analyze data from semistructured interviews and questionnaires to explore the dimensions of perceived diabetes risk.

RESULTS

Participants were between the ages of 30 and 75 years with diversity also noted in diabetes risk factors. The 3 risk perception domains from qualitative data were risk factors, disease severity, and preventing diabetes. The main perceived diabetes risk factors were eating habits (including cultural influences), sedentary lifestyle, and family history of diabetes. Quantitative data supported qualitative findings of a low-to-moderate level of perceived diabetes risk. Despite the lower levels of perceived diabetes risk, Vietnamese Americans do believe that the severity of diabetes is a "big concern."

CONCLUSIONS

Vietnamese Americans with prediabetes have a low-to-moderate level of perceived diabetes risk. Understanding the perceived diabetes risk in this population provides a foundation for diabetes prevention interventions that consider cultural influences on diet and exercise.

Behavioral impact of national health campaigns on healthy lifestyle practices among young adults in Singapore: a cross-sectional study

Background

National health campaigns are often used to improve lifestyle behaviors in the general population. However, evidence specifically in the young adult population is scarce. Given the general deterioration of healthy lifestyle practices from adolescence to young adulthood, it is imperative to study this age group. This study aimed to investigate the behavioral impact of a national health campaign in Singapore on the lifestyle practices of young adults, and whether sex or full-time working and schooling status affected lifestyle practices.

Methods

A total of 594 Singaporean respondents aged 18–39 years old were interviewed via a cross-sectional study in December 2019. Lifestyle practices assessed were diet, exercise, alcohol consumption, current tobacco use, and participation in health screening programs. Other factors investigated included exposure to the national health campaign “War on Diabetes” (WoD), sex, ethnicity, and working/schooling status. Multivariable modified Breslow-Cox proportional hazards models were used to estimate prevalence risk ratios (PRRs) as measures for the associations in this study, after adjusting for potential confounders.

Results

Exposure to the WoD campaign had a significant association with meeting dietary recommendations (PRR = 1.6, 95% CI: 1.0–2.5, p = 0.037), participation in screening (PRR = 1.2, 95% CI: 1.0–1.5, p = 0.028), and current tobacco use (PRR = 0.5, 95% CI: 0.3–0.8, p = 0.003). Males were significantly more likely to meet exercise recommendations (PRR = 2.0, 95% CI: 1.5–2.7, p < 0.001), currently use tobacco (PRR = 3.9, 95% CI: 2.2–6.9, p < 0.001), and consume alcohol excessively (PRR = 1.5, 95% CI: 1.0–2.3, p = 0.046), as compared to females. Working young adults were significantly less likely to meet exercise recommendations (PRR = 0.7, 95% CI: 0.5–0.9, p = 0.019) but significantly more likely to be current tobacco users (PRR = 1.8, 95% CI: 1.1–3.1, p = 0.024), as compared to those who were in school.

Conclusions

While this paper affirms that national health campaigns have significant beneficial associations in diet, health screenings and current tobacco use, policymakers should acknowledge that young adults are an age group with different influences that impact their healthy lifestyle habits. Specific interventions that target these subgroups may be required for better health outcomes. Future studies should evaluate other socio-environmental factors that could play a role in modifying the effect of health campaigns among young adults.

Knowledge, Information Needs and Risk Perception about HIV and Sexually Transmitted Diseases after an Education Intervention on Italian High School and University Students

Sexually transmitted diseases (STDs) among adolescents and young people represent a significant public health problem that generates a pressing requirement of effective evidence-based education to promote primary and secondary prevention. The objective of the study is to evaluate how knowledge, information needs, and risk perception about HIV and STDs can change after targeted education interventions for students. A total of 436 subjects aged 15-24 attending high school (134 biomedical and 96 non-biomedical fields) and university courses (104 scientific and 102 non-scientific disciplines) were enrolled to respond to a questionnaire before and after the intervention. An improvement in knowledge was found in all groups, with statistically significant knowledge score differences between the four groups in 60% of the items. More than 94% of the students consider it useful to promote information on these issues. Receiving this information generated awareness and safety in more than 85% of high-school students and 93% of University students. Students widely perceived a great risk being infected with HIV/STDs, although pregnancy was seen as a more hazardous consequence of unprotected sex. This study shows that educational interventions are effective in improving knowledge, apart from findings about key knowledge topics, information needs, and risk perception, which provide significant insights to design future targeted education programs.

Health App Use and Its Correlates Among Individuals With and Without Type 2 Diabetes: Nationwide Population-Based Survey

BACKGROUND

Evidence suggests that mobile health app use is beneficial for the prevention and management of type 2 diabetes (T2D) and its associated complications; however, population-based research on specific determinants of health app use in people with and without T2D is scarce.

OBJECTIVE

This cross-sectional study aimed to provide population-based evidence on rates and determinants of health app use among adults with and without T2D, thereby covering a prevention perspective and a diabetes management perspective, respectively.

METHODS

The study population included 2327 adults without a known diabetes diagnosis and 1149 adults with known T2D from a nationwide telephone survey in Germany conducted in 2017. Rates of smartphone ownership and health app use were estimated based on weighted sample proportions. Among smartphone owners, determinants of health app use were identified for both groups separately in multivariable logistic regression models. Sociodemographic factors, diabetes-related factors or indicators, psychological and health-related factors, and physician-provided information were selected as potential determinants.

RESULTS

Among participants without known diabetes, 74.72% (1690/2327) were smartphone owners. Of those, 49.27% (717/1690) used health apps, most often to improve regular physical activity. Among participants with T2D, 42.26% (481/1149) were smartphone owners. Of those, 41.1% (171/481) used health apps, most commonly to target a healthy diet. Among people without known diabetes, determinants significantly (all P values <.05) associated with an increased likelihood of health app use compared with their reference group were as follows: younger and middle age of 18 to 44 or 45 to 64 years (odds ratios [ORs] 3.89; P<.001 and 1.76; P=.004, respectively), overweight or obesity (ORs 1.58; P<.001 and 2.07; P<.001, respectively), hypertension diagnosis (OR 1.31; P=.045), former or current smoking (ORs 1.51; P=.002 and 1.58; P<.001, respectively), perceiving health as very good (OR 2.21; P<.001), other chronic diseases (OR 1.48; P=.002), and having received health advice from a physician (OR 1.48; P<.001). A slight or high perceived diabetes risk (ORs 0.78; P=.04 and 0.23; P<.001, respectively) was significantly associated with a decreased likelihood of health app use. Among people with T2D, younger and middle age (18-64 years; OR 1.84; P=.007), female gender (OR 1.61; P=.02), and using a glucose sensor in addition or instead of a glucose meter (OR 2.74; P=.04) were significantly positively associated with health app use.

CONCLUSIONS

In terms of T2D prevention, age, diabetes-related risk factors, psychological and health-related factors, and medical health advice may inform app development for specific target groups. In addition, health professionals may encourage health app use when giving advice on health behaviors. Concerning T2D management, only a few determinants seem relevant for explaining health app use among people with T2D, indicating a need for more future research on which people with T2D use health apps and why.