Prevalence of hazardous alcohol consumption and evaluation of associated factors in university students.

PURPOSE: The aim of the study was to determine the prevalence of hazardous alcohol consumption (HAC) according to gender among university students and associated factors. METHODS: This is a cross-sectional study conducted on undergraduate students. We used a stratified sampling technique to represent 26036 students from all grade levels and 11 faculties, and the survey was administered to 2349 undergraduate students. The prevalence of HAC was determined with the Alcohol Use Disorders Identification Test (AUDIT). HAC was defined as getting 8 points or more from the AUDIT. Multivariate logistic regression analyses were performed to examine HAC related factors in both genders. RESULTS: In this study, 53.2% of the participants were male. The prevalence of HAC in the study group was 13.5% and prevalence of lifetime drinker was 65.3%. In males; those whose fathers [OR = 1.72; 95% CI: (1.17-2.52)], mothers [1.49; (1.02-2.18)], close friends [2.42; (1.28-4.60)] drink alcohol and smoking [3.16; (2.09- 4.77)], use illicit substance [2.35; (1.66-3.34)], have mental health problems [1.65; (1.04-2.62)] were more likely to report HAC. Meanwhile in females, those whose fathers [OR = 1.92; 95%CI: (1.03-3.57)], close friends [5.81; (1.73-19.45)] drink alcohol and smoking [4.33; (2.31-8.15)], use illicit substance [4.34; (2.34-8.06)] have mental health problems [3.01; (1.67-5.43)] were more likely to report HAC. CONCLUSIONS: HAC prevalence is high among university students. The risk of HAC increases with the use of alcohol in family and circle of friends, smoking, illicit substance use and mental health problems. The factors associated with the risk of HAC in both genders are similar.

Public health literacy in primary users in western Turkey.

BACKGROUND: Public health literacy (PHL) is a novel perspective on health literacy (HL). Differing from HL's individualist approach, PHL is concerned with public health events and promoting health in the whole society. OBJECTIVES: To evaluate PHL, a newly developed concept, and related factors. METHODS: In this cross-sectional study, people who visited primary healthcare centers in urban and rural settings were recruited using a questionnaire that includes Public Health Literacy Knowledge Scale (PHLKS) and Adult Health Literacy Scale (AHLS). Out of four Primary Healthcare Centers (PMCs) in western Turkey selected randomly, one PMC was located in a rural setting, while three PMCs were located in an urban setting. Multiple linear regression was used to determine the predictors for PHL. RESULTS: The study group consisted of 1672 people, of which 55.3% were male. The mean age was 40.94 ± 15.22. The median score (min-max) from PHLKS was 13.0 (0-17). Multiple linear regression showed that income level had a negative impact on PHL. Higher education, fondness for reading, hospital admission and HL, however, increased PHL levels. Additionally, living in an urban area and not having auditory problems were positively associated with PHL. CONCLUSIONS: Participants had a moderate level of PHL. Improving PHL should be a priority to tackle global and local problems that have an adverse effect on community health. To increase community engagement in public health events, people with low education and HL levels should be targeted in future training programs.

Elderly people's quality of life in rural areas of Turkey and its relationship with loneliness and sociodemographic characteristics.

BACKGROUND: The aim of the present study was to examine the relationships between loneliness, quality of life and the factors that may be related to the quality of life in individuals ≥65 years old living in rural areas of Turkey. METHODS: The World Health Organization Quality of Life Instrument Older Adults Module (WHOQOL OLD) and Loneliness Scale for the Elderly (LSE) was administered to 427 elderly participants. Multiple linear regression was used to determine the variables that affected QOL. RESULTS: The results of the multivariate linear regression analyses indicated that gender, marital status, education level, family income status, general health condition, living arrangement, and loneliness level for subdomains were within the predictors. Loneliness level had the strongest negative impact on the four WHOQOL OLD subdomains and total WHOQOL OLD score. It was the most important predictor for autonomy, past present future activities, social participation, death-and-dying, and intimacy subdomains and for the total QOL. CONCLUSIONS: Remarkably, a sense of loneliness in the elderly was determined to be the most important factor for predicting their QOL. Loneliness should be considered in attempts to improve QOL for the elderly, interventions to reduce loneliness should specifically target this group, and activities with the potential to increase QOL should be encouraged.