scholarly journals Health App Use and Its Correlates Among Individuals With and Without Type 2 Diabetes: Nationwide Population-Based Survey (Preprint)

2019 ◽  
Author(s):  
Lena M Stühmann ◽  
Rebecca Paprott ◽  
Christin Heidemann ◽  
Jens Baumert ◽  
Sylvia Hansen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Middle Age ◽  
Population Based ◽  
Determinants Of Health ◽  
Diabetes Diagnosis ◽  
Related Factors ◽  
Health Apps ◽  
Health Advice ◽  
Health Related

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 <i>P</i> values &lt;.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; <i>P</i>&lt;.001 and 1.76; <i>P</i>=.004, respectively), overweight or obesity (ORs 1.58; <i>P</i>&lt;.001 and 2.07; <i>P</i>&lt;.001, respectively), hypertension diagnosis (OR 1.31; <i>P</i>=.045), former or current smoking (ORs 1.51; <i>P</i>=.002 and 1.58; <i>P</i>&lt;.001, respectively), perceiving health as very good (OR 2.21; <i>P</i>&lt;.001), other chronic diseases (OR 1.48; <i>P</i>=.002), and having received health advice from a physician (OR 1.48; <i>P</i>&lt;.001). A slight or high perceived diabetes risk (ORs 0.78; <i>P</i>=.04 and 0.23; <i>P</i>&lt;.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; <i>P</i>=.007), female gender (OR 1.61; <i>P</i>=.02), and using a glucose sensor in addition or instead of a glucose meter (OR 2.74; <i>P</i>=.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.

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

JMIR Diabetes ◽  
10.2196/14396 ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. e14396
Author(s):  
Lena M Stühmann ◽  
Rebecca Paprott ◽  
Christin Heidemann ◽  
Jens Baumert ◽  
Sylvia Hansen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Middle Age ◽  
Population Based ◽  
Determinants Of Health ◽  
Diabetes Diagnosis ◽  
Related Factors ◽  
Health Apps ◽  
Health Advice ◽  
Health Related

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.

scholarly journals Applying decision tree for detection of a low risk population for type 2 diabetes: A population based study

2017 ◽  
Vol 1 (4) ◽  
pp. 132-132
Author(s):  
Habibollah Esmaeily ◽  
Maryam Tayefi ◽  
Hassan Doosti ◽  
Majid Ghayour-Mobarhan ◽  
Ali Reza Amirabadizadeh
Keyword(s):  
Type 2 Diabetes ◽  
Decision Tree ◽  
Prediction Model ◽  
Roc Curve ◽  
Population Based ◽  
Low Risk ◽  
Tree Model ◽  
Related Factors ◽  
Study Program

Introduction: The aim of current study was to create a prediction model using data mining approach, decision tree technique, to identify low risk individuals for incidence of Type 2 diabetes (T2DM), using the Mashhad Stroke and Heart Atherosclerotic Disorders (MASHAD) Study program. Methods: a prediction model was developed using classification by the decision tree method on 9528 subjects recruited from MASHAD database. Moreover, the receiver operating characteristic (ROC) curve was applied. Results: The prevalence rate of T2DM was ~14% in our population. For decision tree model, the accuracy, sensitivity, and specificity value for identifying the related factors with T2DM were 78.7%, 47.8% and 83%, respectively. In addition, the area under the ROC curve (AUC) value for recognizing the risk factors associated with T2DM was 0.64. Moreover, we found that subjects with family history of T2DM, age>=48, SBP>=130, DBP>=81, HDL>=29, LDL>=148 and occupation=other have more than 59% chance of this disorder, while the chance of T2DM in subjects without history with TG>=184, age>=48 and hs-CRP>=2.2, have approximately 51% chance. Conclusion: Our findings demonstrated that decision tree analysis, using routine demographic, clinical, anthropometric and biochemical measurements, which combined with other risk score models, could create a simple strategy to predict individuals at low risk for type 2 diabetes in order to decrease substantially the number of subjects needing for screening and recognition of subject at high risk.

Serum fructosamine and risk of type 2 diabetes mellitus among middle-age Finnish men: a 23-year population-based prospective study

2014 ◽  
Vol 52 (1) ◽  
pp. 161-166 ◽  
Author(s):  
Francesco Zaccardi ◽  
Sudhir Kurl ◽  
Dario Pitocco ◽  
Kimmo Ronkainen ◽  
Jari A. Laukkanen
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Prospective Study ◽  
Middle Age ◽  
Population Based ◽  
Serum Fructosamine

scholarly journals Social Deprivation and Incident Diabetes-Related Foot Disease in Patients With Type 2 Diabetes: A Population-Based Cohort Study

2021 ◽  
Author(s):  
Jenny Riley ◽  
Christina Antza ◽  
Punith Kempegowda ◽  
Anuradhaa Subramanian ◽  
Joht Singh Chandan ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Study ◽  
Social Deprivation ◽  
Population Based ◽  
Incident Diabetes ◽  
Lipid Lowering ◽  
Diabetes Diagnosis ◽  
Newly Diagnosed ◽  
Foot Disease

<b>Objective: </b>To investigate the relationship between social deprivation and incident diabetes-related foot disease (DFD), in newly-diagnosed patients with type 2 diabetes. <p><b>Research design and methods:</b> A population-based, open retrospective cohort study, using The Health Improvement Network (01/01/2005-31/12/2019). Patients with type 2 diabetes, free of DFD at baseline, were stratified by Townsend deprivation index and the risk of developing DFD was calculated. DFD was defined as a composite of foot ulcer (FU), Charcot arthropathy, lower limb amputation (LLA), peripheral neuropathy (PN), peripheral vascular disease (PVD) and gangrene.</p> <p><b>Results:</b> 176,359 patients were eligible (56% men; aged 62.9±13.1years). After excluding 26,094 patients with DFD before/within 15 months of type 2 diabetes diagnosis, DFD was incidentally developed in 12.1% of study population during 3.27years (IQR:1.41-5.96). Patients in the most deprived Townsend quintile had increased risk of DFD compared to those in the least deprived (aHR:1.22, 95%CI:1.16-1.29) after adjusting for sex, age at type 2 diabetes diagnosis, ethnicity, smoking, BMI, HbA1c, cardiovascular disease, hypertension, retinopathy, eGFR, insulin, glucose/lipid-lowering medications and baseline foot risk. Patients in the most deprived Townsend quintile had higher risk of PN (aHR:1.18, 95%CI:1.11-1.25), FU (aHR:1.44, 95%CI:1.17-1.77), PVD (aHR:1.40, 95%CI:1.28-1.53) LLA (aHR:1.75, 95%CI:1.08-2.83) and gangrene (aHR:8.49, 95% CI:1.01-71.58) compared to those in the least.</p> <p><b>Conclusion: </b>Social deprivation is an independent risk factor for the development of DFD, PN, FU, PVD, LLA and gangrene in newly-diagnosed patients with type 2 diabetes. Considering the high individual and economic burden of DFD, strategies targeting patients in socially deprived areas are needed to reduce health inequalities.</p> <p><b> </b></p>

Diabetes Mellitus Is a Risk Factor for Vascular Dementia, but Not for Alzheimer's Disease: A Population-Based Study of the Oldest Old

2002 ◽  
Vol 14 (3) ◽  
pp. 239-248 ◽  
Author(s):  
Linda B. Hassing ◽  
Boo Johansson ◽  
Sven E. Nilsson ◽  
Stig Berg ◽  
Nancy L. Pedersen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Alzheimer’S Disease ◽  
Type 2 Diabetes ◽  
Alzheimer's Disease ◽  
Risk Factor ◽  
Vascular Dementia ◽  
Population Based ◽  
Diabetes Diagnosis ◽  
Increased Risk

Background: The purpose of this study was to examine if Type 2 diabetes mellitus is a risk factor for dementia in very old age, specifically for Alzheimer's disease (AD) and vascular dementia (VaD). Methods: We evaluated the risk of dementia in relation to Type 2 diabetes using a population-based sample of 702 individuals aged 80 years and older (mean age 83 years). A total of 187 persons received a dementia diagnosis. Thirty-one individuals had a diabetes diagnosis prior to onset of the dementia. Results: Cox proportional hazard analyses, adjusted for age, gender, education, smoking habits, and circulatory diseases, indicated an elevated risk to develop VaD (relative risk = 2.54, 95% confidence interval 1.35–4.78) in individuals with diabetes mellitus. No association was found between diabetes and AD. Conclusion: Type 2 diabetes is selectively related to the different subtypes of dementia. There is no increased risk of AD but more than a twofold risk of VaD in persons with diabetes.

scholarly journals Patient-assessed quality of care in type 2 diabetes in a German nationwide health survey 2017

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Baumert ◽  
G L Schmid ◽  
Y Du ◽  
R Paprott ◽  
S Carmienke ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Quality Of Care ◽  
Chronic Illness ◽  
Information Needs ◽  
Population Based ◽  
Short Version ◽  
Chronic Illness Care ◽  
Related Factors

Abstract Background Patient-assessed quality of chronic illness care is important to guide medical care for patients with diabetes and other complex chronic diseases, but information from epidemiological studies is scarce. Thus, we examined self-assessed quality of care among adults with type 2 diabetes (T2D) based on a population-based design. Methods The study population was drawn from a nationwide survey on diabetes-related knowledge and information needs conducted in Germany in 2017 and included participants aged ≥18 years with known type 2 diabetes (T2D) in the last 12 months (n = 1,328). A German short version of the “Patient assessment of chronic illness care (PACIC-DSF)” consisting of 9 items based on 5-point Likert scale was applied to assess self-reported quality of care in diabetes which was operationalized by a standardized PACIC sum score ranging from 1 to 5. Linear regression with different stages of adjustment was applied to assess the association of basic characteristics and diabetes-related factors with the PACIC score. Results Quality of care was assessed less favorably by women than by men (PACIC score: 2.38 vs. 2.47) overall and decreased along with age. The PACIC score significantly increased in participants with insulin use (β = 0.16, p = 0.024), ever participating in a diabetes education program (β = 0.33, p &lt; 0.001), following a diet plan at least once a week (β = 0.33, p &lt; =0.001) as well as performing daily self-examination of feet (β = 0.14, p = 0.023), self-control of blood glucose (β = 0.34, p &lt; 0.001), and being physically active for at least 30 min (β = 0.21, p &lt; 0.001) compared to participants without the respective trait. Conclusions Self-assessed quality of care by adults with known T2D from this population-based study is moderate and seems lower compared to findings from clinical studies. Key messages An active involvement of people with type 2 diabetes into the implementation of care is essential and may contribute to improved self-perceived quality of care. To identify and overcome obstacles in diabetes care based on the patient’s perspective remains a public health challenge.

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