Objective: The prevalence of elderly abuse varies between 2.2% and 30.1% in European countries. There is a limited number of studies that have investigated elderly abuse in Turkey. The aim of this study is to detect the prevalence and risk factors of elder abuse, identify the factors that can affect elderly abuse, and assess the possible measures to prevent this problem. Methods: We stratified the districts enrolled in family health centers to ensure that participants were from diverse social, cultural, and economic backgrounds of Edirne and formed a representative sample of 211 people. In addition to sociodemographic characteristics, our survey consisted of the Hwalek-Sengstock Elder Abuse Screening Test, the Geriatric Depression Scaleshort form, the Standardised Mini-Mental State Examination, the Barthel Index for activities of daily living, and the Lawton-Brody instrumental activities of daily living scale. Results: The prevalence of elderly abuse was determined as 9.9%, and high abuse risk was 15.2%. We found that abuse risk was higher among older people who had no social security, lived alone, were abused physically or emotionally before, reported having bad family relations, and had fewer rooms at home which leads to a lack of privacy. Furthermore, we found significant relationships between abuse risk and the depression score. Conclusions: Elderly abuse is a risk for every person regardless of gender, education level, and economic status. As an invisible problem for societies, elderly abuse brings a great burden by leading to the loss of physical, mental, and psychological health. Preventive measures should be the primary goal. All results suggest that governments, non-governmental organizations, and health care providers should combat this problem by increasing patient literacy and ensuring lifestyle changes.

According to the International Diabetes Federation, Turkey will be among the top 10 countries in the world with the highest prevalence of diabetes mellitus (DM) by 2045, with a speculated number of cases of 10.4 million.This study aimed to predict the 10-year risk of type 2 DM in a Turkish population, assess potential factors of the 10-year risk of DM, and assess the outcomes of Turkey's 2015 to 2020 program for DM.Individuals aged 20–64 years were categorized and stratified according to age (in ranges of 5 years), sex, and populations of family medicine centers to reflect the whole population. The Finnish Diabetes Risk Score, sociodemographic characteristics, body fat, muscle, bone ratio, blood pressure, and waist-to-height ratio were evaluated.We found that 9.5% (n = 71) of the population aged 20 to 64 years will have DM within the next 10 years. Low levels of education (odds ratio [OR]: 2.054; 95% confidence interval [CI]: 1.011–4.174), smoking cessation (OR: 2.636; 95% CI: 1.260–5.513), a waist-to-height ratio >0.5 (OR: 6.885; 95% CI: 2.301–20.602), body fat percentage (OR: 1.187; 95% CI: 1.130–1.247), high systolic blood pressure (OR: 1.025; 95% CI: 1.009–1.041), and alcohol consumption (beta-estimation: −0.690; OR: 0.501; 95% CI: 0.275–0.914) affect the 10-year risk of type 2 DM.Individuals at risk for DM can be easily identified using risk assessment tools in primary care; however, there is no active screening program in the healthcare system, and only proposals exist. In addition to screening, preventive measures should focus on raising awareness of DM, reducing body fat percentage and systolic blood pressure, and decreasing the waist-to-height ratio to <0.5.

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Objective: Diseases are more seen in the elderly population, therefore pain also gains a severe probleme in this situation. It is well known that pain impairs significantly the quality of life and gives raise to an increase use of drugs. The aim of our study is to determine the severity of chronic pain in the eldely and to evaluate the conditions affecting chronic pain. Methods: We included 456 elderly patients in our study. The mean age was 71.19±6.27 (min: 65; max: 93). Patient’s sociodemografic information, diseases, use of medications, presence of chronic pain, affecting conditions and treatment applied for chronic pain, and Geriatric Pain Scale were evaluated. Results: The females integrated in tis study were 272 with a rate of 59.6 %. Regarding the geiatric pain scale 61.2 % (n: 279) had a mild pain while the other 18.6% (n: 85) had severe pain. The 87.7% were in medication of analgesics for their chronic pain. The patient’s knowledge of the used of medications was with a rate of 43.9% (n: 200). We founded a statistically significant relationship between the chronic pain and femele gender (p<0.001), older age (p=0.012), smoking users (p=0.01), nonsteroidal antiinflamatory drug users (p=0.003) and inidviduals with higher mass body index (p=0.016). Conclusion: Chronic pain in the elderly is a common complaint. The presence of pain disrupts the quality of life and puts additional burdens on the healthcare system. Detecting preventable situations that cause pain and increases severity, giving importance to non-drug treatments, increasing health literacy about the drugs used, implementing effective policies against diseases will reduce the severity of chronic pain, increasing the quality of life and significantly reducing health costs.

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