scholarly journals Parenting Practices as a Mediator in the Association Between Family Socio-Economic Status and Screen-Time in Primary Schoolchildren: A Feel4Diabetes Study

2018 ◽  
Vol 15 (11) ◽  
pp. 2553 ◽  
Author(s):  
Sara De Lepeleere ◽  
Ilse De Bourdeaudhuij ◽  
Vicky Van Stappen ◽  
Nele Huys ◽  
Julie Latomme ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Standard Error ◽  
Screen Time ◽  
Parenting Practices ◽  
Economic Status ◽  
Inverse Association ◽  
Mediating Effects ◽  
Socio Economic Status ◽  
Increased Risk

The aim of this study was to examine the mediating effects of specific parenting practices on the association between family socio-economic status (SES) and screen-time of 6- to 9-year-old children from families with an increased risk of developing type 2 diabetes. This cross-sectional study, focusing on families with an increased risk of developing type 2 diabetes, used the Belgian baseline data of the Movie Models intervention, integrated within the European Feel4Diabetes intervention, and included 247 parents (57.6% lower SES family; 78.0% mothers) who completed a questionnaire. Mediating effects were tested using MacKinnon’s product-of-coefficients test via multilevel linear regression analyses. Being consistent concerning rules about gaming (β = 0.127; standard error = 0.055; 95% CI = 0.020; 0.234) and avoiding negative role modeling concerning TV-time (β = −0.082; standard error = 0.040; 95% CI = −0.161; −0.003) significantly mediated the inverse association between family SES and children’s screen-time. Parents from lower SES families were more consistent concerning rules about gaming and watched more TV nearby their child compared to parents from higher SES families, and these parenting practices were related to more screen-time. No other parenting practices were found to mediate this association. Thus, parents from lower SES families with a higher risk for developing type 2 diabetes might limit their own TV-time nearby their child to reduce their child’s screen-time. Future research should examine other possible mediating factors to develop effective interventions targeting this important at-risk group.

scholarly journals The effects of reimbursement reform of antidiabetic medicines from the patients’ perspective – a survey among patients with type 2 diabetes in Finland

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Taika Suviranta ◽  
Johanna Timonen ◽  
Janne Martikainen ◽  
Emma Aarnio
Keyword(s):  
Type 2 Diabetes ◽  
Economic Status ◽  
Economic Effects ◽  
Free Form ◽  
Baseline Survey ◽  
Socio Economic Status ◽  
Financial Difficulties ◽  
Patients Perspective

Abstract Background In Finland, the reimbursement rate for antidiabetic medicines other than insulins was lowered from 100 to 65% at the beginning of 2017. The objective of this study was to examine the effects of this reform experienced by patients with type 2 diabetes. The objective was also to explore if socio-economic status affects this experience. Methods The data were collected by conducting a survey among Finnish adults with type 2 diabetes (n = 603). The baseline survey was conducted in November–December 2016. A second follow-up survey was conducted at the end of 2017 where the participants’ experience of the reimbursement reform was surveyed with an open-ended question. Free-form inductive content analysis was used to categorize the answers. The association between the participants’ characteristics and reporting an effect caused by the reimbursement reform was studied with binomial logistic regression. Results 285 (47.3%) participants reported an effect of some kind caused by the reimbursement reform. The most common reported effects were economic effects (32.7%) and annoyance (12.4%). Having financial difficulties in purchasing antidiabetic medicines (odds ratio (OR) 5.20, 95% confidence interval (Cl) 2.99–9.06) or not having annual deductible exceeded (OR 2.17, 95% CI 1.19–3.95), and use of certain antidiabetic medication groups at baseline were associated with reporting an effect. Socio-economic status was not associated with the likelihood of reporting an effect. Conclusions Almost half of the participants with type 2 diabetes reported an effect, most commonly economic effects, such as increased expenditure or difficulty in purchasing medicines, after the reimbursement reform. It is important to study the effects of reimbursement reforms also from the patients’ perspective.

scholarly journals Assessment of diabetes risk in an adult population using Indian diabetic risk score in urban area of Tamil Nadu

2018 ◽  
Vol 5 (4) ◽  
pp. 1587
Author(s):  
S. Jayakiruthiga ◽  
R. Rajkamal ◽  
S. Gopalakrishnan ◽  
R. Umadevi
Keyword(s):  
Type 2 Diabetes ◽  
Urban Area ◽  
Tamil Nadu ◽  
Economic Status ◽  
Adult Population ◽  
Diabetes Risk ◽  
P Value ◽  
Risk Category ◽  
Socio Economic Status

Background: India has earned the dubious distinction of being the diabetic capital of the world. The majority of people with diabetes (>90%) have Type 2 diabetes (T2DM). While T2DM predominantly affects older individuals in developed countries, in developing nations like India, it affects the younger population in the prime of their working lives and thus poses an even greater threat to the health of these individuals. Objectives of the study were to assess the Type 2 diabetes mellitus risk status of adult population in urban area of Tamil Nadu and to measure the association between sociodemographic factors like age, sex and socio economic status with diabetes risk score.Methods: A community-based, cross-sectional study was carried out in Anakaputhur, an urban area in Kanchipuram district of Tamil Nadu in June 2016 among adult population on risk status for Type 2 Diabetes Mellitus Using Indian Diabetic Risk Score. The data was entered in MS Excel & analyzed by SPSS (Statistical Package for Social Science) 20.0 version. Descriptive statistics like proportions were calculated. Chi square test was used to compare the proportions between the groups. P value less than 0.05 was considered as statistically significant.Results: Out of 351 study subjects, only 30 (8.5%)study subjects were not at risk of having diabetes, 119 (33.9%) were at moderate risk and 202 (57.6%) were at higher risk of having Diabetes. Comparing age, gender, socio-economic status with diabetes risk category, we found that age is associated with diabetes risk category and the p – value was highly significant.Conclusions: Majority of the study subjects were at risk of having diabetes, hence screening is of utmost importance so that interventions can be initiated at an early stage. 

Association between knowledge, awareness, and practice of patients with type 2 diabetes with socio-economic status, adherence to medication and disease complications

2020 ◽  
Vol 163 ◽  
pp. 108124
Author(s):  
Mahera Abdulrahman ◽  
Zahra S.M. Husain ◽  
Khuloud Abdulrazaq Abdouli ◽  
Mahra Nooruddin Kazim ◽  
Fatma Sayed Mahdi Ahmad ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Economic Status ◽  
Socio Economic Status ◽  
Adherence To Medication

scholarly journals Lower Plasma Magnesium, Measured by Nuclear Magnetic Resonance Spectroscopy, is Associated with Increased Risk of Developing Type 2 Diabetes Mellitus in Women: Results from a Dutch Prospective Cohort Study

2019 ◽  
Vol 8 (2) ◽  
pp. 169 ◽  
Author(s):  
Joëlle C. Schutten ◽  
António W. Gomes-Neto ◽  
Gerjan Navis ◽  
Ron T. Gansevoort ◽  
Robin P.F. Dullaart ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Nuclear Magnetic Resonance ◽  
Type 2 Diabetes Mellitus ◽  
Magnetic Resonance ◽  
Inverse Association ◽  
Increased Risk ◽  
Study Results ◽  
Nuclear Magnetic

Background: Low circulating magnesium (Mg) is associated with an increased risk of developing type 2 diabetes mellitus (T2DM). We aimed to study the performance of a nuclear magnetic resonance (NMR)-based assay that quantifies ionized Mg in EDTA plasma samples and prospectively investigate the association of Mg with the risk of T2DM. Methods: The analytic performance of an NMR-based assay for measuring plasma Mg was evaluated. We studied 5747 subjects free of T2DM at baseline in the Prevention of Renal and Vascular End-stage Disease (PREVEND) study. Results: Passing–Bablok regression analysis, comparing NMR-measured ionized Mg with total Mg measured by the Roche colorimetric assay, produced a correlation of r = 0.90, with a slope of 1.08 (95% CI: 1.00–1.13) and an intercept of 0.02 (95% CI: −0.02–0.08). During a median follow-up period of 11.2 (IQR: 7.7–12.0) years, 289 (5.0%) participants developed T2DM. The association of NMR-measured ionized Mg with T2DM risk was modified by sex (Pinteraction = 0.007). In women, we found an inverse association between Mg and the risk of developing T2DM, independent of adjustment for potential confounders (HR: 1.80; 95% CI: 1.20–2.70). In men, we found no association between Mg and the risk of developing T2DM (HR: 0.90; 95%: 0.67–1.21). Conclusion: Lower NMR-measured plasma ionized Mg was independently associated with a higher risk of developing T2DM in women, but not in men.

scholarly journals Effect of Screen time on Glycaemic control of Type 2 Diabetes patients during COVID-19 Outbreak: A Survey based Study

2020 ◽  
Author(s):  
Sayak Roy ◽  
Kingshuk Bhattacharjee
Keyword(s):  
Type 2 Diabetes ◽  
Social Media ◽  
Glycaemic Control ◽  
Blood Sugar ◽  
Screen Time ◽  
Categorical Variables ◽  
Aged Patients ◽  
Time Activity ◽  
Increased Risk

Introduction: Decreased workout during coronavirus disease-2019 (COVID-19) is a serious issue for the patients with type 2 diabetes (T2DM), since their glycaemic control is very much related to that. COVID-19 has posed a severe health issue that is playing havoc on the aged patients with existing comorbidities. Studies have shown mixed reports of social media on T2DM, with some showing positive results due to increased use of apps and adherence to lifestyle, while others have shown adiposity and glycaemic control related to hours spent on-screen time in children. Data on adult T2DM patients screen time activity and prevailing glycosylated haemoglobin (HbA1c), fasting blood sugar (FBS) and, post-prandial blood sugar (PPBS) is sparse. Aim: To study the effect of screen-time spent on social media per day on glycaemic parameters of T2DM patients. Materials and methods: Data was collected for T2DM patients giving informed written consent and meeting a set of pre-specified inclusion criteria. Through two rounds of surveys done from May 15 to June 26, the authors collected the answers to a set of questionnaires from a total of 344 patients sent via email. Due to the non-availability of data from a few patients, a total of 229 patients data were finally analyzed. SPSS software version V21 was used to perform Binary logistic regression for calculating the odds ratio (OR) of the categorical variables. The outcomes, looked for in the analysis, were poor control of glycaemic parameters like HbA1c (defined by >7%), FBS (defined by >150 mg/dL) and, PPBS (defined by >200 mg/dL) and the exposure variables were Screen time spent by the person per day for all the three glycaemic parameters and, doctors visit and, daily exercise for HbA1c outcome. Results: A total of 173 patients had a screen time (henceforth, it means time spent on social media) of less than 2 hours/day in the study sample. Among the 173 patients, 73 (42.2%) had achieved HbA1c less than 7%, whereas the remaining 100 (57.8%) had HbA1c more than 7%. On the other hand, 56 patients had a screen time of more than 2 hours, of which 44 (72.73%) had HbA1c more than 7%. Among the 173 patients, only 89 (51.44%) had an FBS value of more than 150 mg/dL as compared to 46 (82.12%) with a screen time of more than 2 hours. Out of these 173 patients, only 43 (24.86%) had a PPBS value of more than 200 mg/dL as compared to 41 (73.21%) with a screen time of more than 2 hours. It was found that the odds of having a poor glycaemic control as per HbA1c, FBS and PPBS is 2.67 times higher (95%CI: 1.91-6.95), 4.34 times higher (95%CI: 1.52-4.76) and, 8.26 times higher (95%CI: 4.26-11.83) in the cohort with a screen time of more than 2 hours as compared to the cohort with a screen time of less than 2 hours, respectively. Conclusion: There seems to be an increased risk of uncontrolled glycaemic indices with increased screen time and, decreased work out. This is a small study and the findings need to be corroborated with larger sample size.

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