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1.
Bratisl Lek Listy ; 121(11): 771-774, 2020.
Article in English | MEDLINE | ID: mdl-33164535

ABSTRACT

AIM: Adverse effects (ADRs) of non-steroidal anti-inflammatory drugs (NSAIDs) represent a public health problem. To decrease the negative effect on the population, an improvement of risk awareness is crucial. We aimed to evaluate the risk perception and the use of NSAIDs in South Dakota in comparison with Slovakia and Greece. METHOD: A structured questionnaire evaluating NSAID use in 185 patients in a hospital in South Dakota. RESULTS: 95.7 % of respondents reported the use of analgesics. On 1-10 visual analogue scale, perceived risk of NSAIDs was 4.27±2.46, similar to Greece (4.36±2.41, p=0.360), but significantly higher than in Slovakia (3.8±1.9, p=0.038). Only 12.4 % were familiar with gastrointestinal ADRs and only 1.1 % were aware of cardiovascular risk. Although 57.8 % were informed about ADRs by their doctor or pharmacist, only 33.0 % were informed spontaneously, without actively asking. Providers in South Dakota were informing patients spontaneously more often than in Slovakia (15.9 %, p≤0.001) and on par with Greece (36.3 %, p=0.631). CONCLUSIONS: Public awareness about NSAID risk is dangerously low. Only a third of providers are informing patients about possible risks spontaneously (Tab. 6, Ref. 15) Keywords: non-steroidal anti-inflammatory drugs, risk perception, adverse effects, cardiovascular risk, gastrointestinal risk.


Subject(s)
Anti-Inflammatory Agents, Non-Steroidal , Health Knowledge, Attitudes, Practice , Anti-Inflammatory Agents, Non-Steroidal/adverse effects , Greece , Humans , Risk , Slovakia , South Dakota
2.
Diabet Med ; 29(7): 918-25, 2012 Jul.
Article in English | MEDLINE | ID: mdl-22435750

ABSTRACT

BACKGROUND: Television viewing time is associated cross-sectionally with abnormal glucose tolerance and diabetes risk; however, the impact of changes in television viewing time on glycaemic measures is less understood. We examined relationships of 5-year change in television viewing time with 5-year change in glucose homeostasis markers. METHODS: Participants in the Australian Diabetes, Obesity and Lifestyle study with data available at the 1999-2000 baseline and the 2004-2005 follow-up were included (4870; 45% men). Television viewing time (h/week) was assessed by questionnaire. Fasting plasma glucose, serum insulin and 2-h plasma glucose were obtained from an oral glucose tolerance test. Beta-cell function and insulin resistance were ascertained using the homeostasis model assessment 2-calculator. Associations of change in television viewing time with changes in glucose homeostasis markers were examined using linear regression models [ß-coefficients (95% CI)]. Adjustments included baseline measures of age, television viewing time and glycaemic marker, and baseline and 5-year change in diet quality, energy intake, physical activity and waist circumference. RESULTS: For every 5-h per week increase in television viewing time from baseline to 5-year follow-up, changes in glucose homeostasis markers were observed: among women there was a significant increase in fasting plasma glucose [0.01 (0.00-0.02) mmol/l] insulin resistance [0.03 (0.01-0.05)] and insulin secretion [1.07 (0.02-2.12) %]; insulin levels increased [men: 1.20 (0.30-2.09); women: 1.06 (0.32-1.80) pmol/l]; in men, 2-h plasma glucose levels increased [0.06 (0.01-0.1) mmol/l]. CONCLUSION: Five-year increases in television viewing time were associated adversely with changes in glucose homeostasis markers. These findings add to earlier cross-sectional evidence that television viewing time can be associated with biomarkers of diabetes risk.


Subject(s)
Blood Glucose/metabolism , Glucose Intolerance/epidemiology , Glycated Hemoglobin/metabolism , Sedentary Behavior , Television , Australia/epidemiology , Biomarkers/blood , Cholesterol/blood , Cross-Sectional Studies , Exercise , Fasting , Female , Glucose Intolerance/blood , Glucose Tolerance Test , Humans , Linear Models , Male , Middle Aged , Risk Factors , Triglycerides/blood , Waist Circumference
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