Evaluation of Relationship Between Cyberchondria and Obsessive Beliefs in Adults.

OBJECTIVE: The aim of this study was to evaluate the relationship between cyberchondria and obsessive beliefs and determine the potential risk of the former. METHODS: This was a cross-sectional study conducted with 777 individuals. The Cyberchondria Severity Scale and the Obsessive Beliefs Questionnaire were applied to the participants. Univariate and hierarchical multiple linear regression analyses were used to analyze the data. RESULTS: Of the study group 382 (49.2%) were male, 395 (50.8%), female. Their ages ranged from 18 to 63 years, with an average of 32.6 (± 9.6) years. Multiple linear regression analysis found that the frequency of internet use (several times a day; n = 670), using the internet as a source of health-related information (n = 320), using the internet to research a doctor before making and/or attending an appointment with same (n = 363), halting the use of prescribed medication based on information obtained on the internet (n = 177), and obsessive beliefs were factors linked to cyberchondria. Cyberchondria and obsessive beliefs were positively related and in the final model were found to be the strongest determinants of cyberchondria. CONCLUSION: Obsessive beliefs may be a potential risk factor for cyberchondria. Since cyberchondria affects people's health related behaviors, it is important to ensure the safety of health-related information on the internet. The results of this study may guide future ones that thoroughly investigate the factors associated with cyberchondria. More comprehensive studies are needed to reveal the relationship between cyberchondria and obsessive beliefs.

Clinical and epidemiological characteristics and associated factors of hair graying: a population-based, cross-sectional study in Turkey.

BACKGROUND: Hair graying is common in humans; but there is scarce data about its epidemiology. OBJECTIVE: This study aimed to evaluate the clinical and epidemiological characteristics and associated factors of hair graying. METHODS: A total of 1541 volunteers between 15 and 65 years old were included in this population-based, cross-sectional study. A questionnaire on characteristics and associated factors of hair graying was filled in by face-to-face interview method. RESULTS: One thousand sixty three participants (69.0%) had hair graying. The mean onset age of hair graying was 32.9±9.8 years. It was 31.7±9.5 years in females, whereas 33.7±10.0 years in males (p=0.001). The most common involved area of hair graying at the onset and at the time of the interview was temporal region. When it was evaluated by gender, it was temporal in males whereas parietal in females. Hair graying was more severe in males than in females and in late-onset hair graying than early-onset hair graying (respectively, p=0.000, p<0.001). The most common involved area at the onset and at the present was temporal in severe hair graying; whereas parietal in mild hair graying. In logistic regression analysis, age, educational status, presence of hair loss, skin type, family history of early-onset hair graying and anxiety were independently related to hair graying (p<0.05). STUDY LIMITATIONS: The study was performed in only Turkish individuals. The recall biases were another limitations. CONCLUSION: Male gender, late-onset and temporal-onset of hair graying may be considered to be poor prognostic factors for hair graying. There is need for further epidemiological studies in people with different ethnic origin to illuminate the clinical and epidemiological characteristics and associated factors of hair graying.