The Knowledge and Determinants of Sexual Health and Sexual Transmitted Infections Among Women in Saudi Arabia: A Nationwide Survey

Background

Sexual health is a necessary part of any society because it significantly influences the quality of life. Women's knowledge regarding STIs and safe sex practices in Saudi Arabia has not been thoroughly investigated; therefore, this study aims to investigate and measure the knowledge and the determinants of sexual health and STIs among women in Saudi Arabia.

Methods

This study is a nationwide cross-sectional survey conducted through phone interviews in Saudi Arabia in 2021. This study included 1334 female participants aged 18 years or older.

Results

The study's results collectively show that women in Saudi Arabia have limited knowledge of sexual health and STIs. The primary causes are the lack of knowledge of different STIs-communicability, symptoms, and an overall lack of technical proficiency in the subject. The study analyzed factors associated with participants' knowledge of sexual health and sexually transmitted infections. Significant associations were found between knowledge and age, region, educational level, and family income. In the multivariable analysis, participants aged 20-29 had higher knowledge compared to those aged >60. Participants in the Eastern region had higher knowledge than those in the Southern region. Participants with less than a bachelor's degree had lower knowledge than those with a bachelor's degree or higher. Participants earning an average of 16,000 SAR to 19,999 SAR had higher knowledge than those with unstable monthly income.

Conclusion

The study found that women's understanding of sexual health and STIs in Saudi Arabia is low due to a lack of knowledge and awareness. Knowledge levels were correlated with educational levels; therefore, targeted health promotion initiatives are needed to increase understanding, particularly regarding condom use for HIV and STI prevention.

Predicting Multimorbidity Using Saudi Health Indicators (Sharik) Nationwide Data: Statistical and Machine Learning Approach

The Saudi population is at high risk of multimorbidity. The risk of these morbidities can be reduced by identifying common modifiable behavioural risk factors. This study uses statistical and machine learning methods to predict factors for multimorbidity in the Saudi population. Data from 23,098 Saudi residents were extracted from the "Sharik" Health Indicators Surveillance System 2021. Participants were asked about their demographics and health indicators. Binary logistic models were used to determine predictors of multimorbidity. A backpropagation neural network model was further run using the predictors from the logistic regression model. Accuracy measures were checked using training, validation, and testing data. Females and smokers had the highest likelihood of experiencing multimorbidity. Age and fruit consumption also played a significant role in predicting multimorbidity. Regarding model accuracy, both logistic regression and backpropagation algorithms yielded comparable outcomes. The backpropagation method (accuracy 80.7%) was more accurate than the logistic regression model (77%). Machine learning algorithms can be used to predict multimorbidity among adults, particularly in the Middle East region. Different testing methods later validated the common predicting factors identified in this study. These factors are helpful and can be translated by policymakers to consider improvements in the public health domain.

Teleworking Survey in Saudi Arabia: Reliability and Validity of Arabic Version of the Questionnaire

OBJECTIVES

This study aimed to adapt the survey questionnaire designed by Moens et al. (2021) and determine the validity and reliability of the Arabic version of the survey in a sample of the Saudi population experiencing teleworking.

METHODS

The questionnaire includes 2 sections. The first consists of 13 items measuring the impact of extended telework during the coronavirus disease 2019 (COVID-19) crisis. The second section includes 6 items measuring the impact of the COVID-19 crisis on self-view of telework and digital meetings. The survey instrument was translated based on the guidelines for the cultural adaptation of self-administrated measures.

RESULTS

The reliability of the questionnaire responses was measured by Cronbach's alpha. The construct validity was checked through exploratory factor analysis followed by confirmatory factor analysis (CFA) to further assess the factor structure. CFA revealed that the model had excellent fit (root mean square error of approximation, 0.00; comparative fit index, 1.0; Tucker-Lewis index, 1; standardized root mean squared residual, 0.0).

CONCLUSIONS

The Arabic version of the teleworking questionnaire had high reliability and good validity in assessing experiences and perceptions toward teleworking. While the validated survey examined perceptions and experiences during COVID-19, its use can be extended to capture experiences and perceptions during different crises.

Anxiety Levels Amid the COVID-19 Lockdown in Saudi Arabia

Objective

To assess the prevalence of anxiety and factors associated with it during the peak of the outbreak in Saudi Arabia.

Materials and Methods

This cross-sectional research screened the general public using the Generalized Anxiety Disorder Scale-7 to detect anxiety levels. The questionnaire was distributed online during May 2020, while lockdowns were enforced. A total of 3017 respondents from all five main regions of Saudi Arabia completed the survey. The prevalence of anxiety was measured. Chi-square and logistic regression analyses were executed to determine associated factors with anxiety during peak lockdown.

Results

About 19.6% of the respondents possessed a moderate to severe level of anxiety during the pandemic. Western, Northern, and Eastern regions of Saudi Arabia were found to be the most anxious. Female participants had 5.3% higher levels of anxiety compared to male counterparts. The youngest age group (18 to 19 years), most of them were students, reported the highest frequency of anxiety (28.7%). Divorced and single participants had a higher level of anxiety compared to married ones. After adjusted with other variables, living with a family member with risk of the COVID-19 was the best predictor assessing anxiety amid peak lockdown (OR: 1.8, 95% CI: 1.4–2.2).

Conclusion

Notable anxiety prevailed during the initial phase of the COVID-19 outbreak in Saudi Arabia. The presence of vulnerable subjects in the family augments this psychological disorder considerably. Our findings promulgate a need to inculcate nation-wide strategies to enforce public health emergency preparedness plans to mitigate the adverse psychological effects of outbreaks.