Sexual health alterations are associated with disasters. Consequently, the COVID-19 pandemic may affect female sexual function. This study aimed to determine the COVID-19 pandemic effect on female sexual function and to know the risk of female sexual dysfunction. This online, cross-sectional, observational research was conducted during the pandemic period. A logistic regression model was used to investigate the associations between outcomes and potential risk factors. In total, 432 sexually active women participating in the region affected by the COVID-19 pandemic were analyzed. The overall findings of our study are that 60 percent of females were at risk for female sexual dysfunction. The average FSFI score was 21.27 ± 7.17. Comparing female sexual behavior before and during the COVID-19 pandemic reveals a significant decrease in the frequency of having sex per week, foreplay duration, and coital duration. In the multivariate analysis, the factors associated with the development of RFSD are age greater than 45 years (adjusted odds ratios (AOR) 15.09, 95% confidence interval (CI) 3.67-62.07), body mass index (BMI) greater than 25 (AOR 3.26, 95%CI 1.23-8.67), jobs as a healthcare provider (AOR 8.45, 95%CI 3.66-19.53), previous COVID-19 infection within the previous three months (AOR 36.81, 95%CI 10.93-123.98), and screened-positive anxiety (AOR 13.07, 95%CI 4.75-35.94). COVID-19 influences female sexual behavior and may increase the risk of sexual dysfunction in women. Concern for the effects of female sexual quality of life in high-risk individuals is essential.
(1) Background: Adolescence is a critical developmental phase; dietary intake and nutritional status significantly impact health outcomes. (2) Objective: This cross-sectional study investigated dietary patterns (DPs) and the association between sociodemographic factors and unhealthy DPs among adolescents in Thailand. (3) Methods: A multi-stage sampling selected 1480 participants from three public high schools in Nakhon Si Thammarat province. A food frequency questionnaire assessed dietary habits, and principal component analysis was used to identify DPs. Multinomial logistic regression examined the association between sociodemographic factors and DPs. (4) Results: The findings show that 25.9% of adolescents were underweight, 14.7% were overweight, and 5.8% were obese. Three DPs were identified: a healthy 'protein and vegetables' pattern and two unhealthy patterns: 'snacks' and 'processed foods', which explained 12.49%, 10.37%, and 7.07% of the dietary variance, respectively. Among underweight adolescents, higher snack consumption was associated with being younger (odds ratio (OR) = 3.24) and receiving a higher daily allowance (OR = 3.43). Additionally, female adolescents who engaged in frequent exercise had a 2.15 times higher intake of processed foods. Among overweight adolescents, higher snack intake was linked to being younger (OR = 8.65) and having larger families (OR = 6.37). Moreover, an increased daily allowance was associated with higher consumption of processed foods (OR = 11.47). (5) Conclusion: This study underscores the socio-demographic influence on unhealthy DPs. Insights can guide targeted interventions to foster healthier dietary habits during adolescence.