Cancer Health Literacy and Its Correlated Factors in the United Arab Emirates-A Cross Sectional Study.

INTRODUCTION: Cancer Health literacy (CHL) is the health literacy related to cancer knowledge, prevention, treatment, screening, and access to services. It is an important indicator of people's adherence to screening and preventive measures, which helps to reduce the incidence and prevalence of cancer. The study assessed the CHL level and its association with relevant socio-demographic characteristics and sources of information among primary health care patients and visitors in the United Arab Emirates (UAE). METHODS: A cross-sectional study recruited survey participants who consented to respond to an interviewer-administered questionnaire. The assessment of CHL was done by using 15 questions. CHL level was measured as a median score and also categorized as poor/inadequate, moderate, good/excellent. Nominal logistic regression was used to analyze the relationship between CHL categories and participants' sociodemographic characteristics and CHL sources of information. RESULTS: Of the total 492 participants, 45.5% were young adults (30-39 years old), 32.9% were males, and 70.8% were UAE nationals. The overall median CHL score was 8.0 (IQR = 5.0-10). 33.7% of the participants had a poor/inadequate level of CHL, 49.6% had a moderate level and 16.7% had a good to excellent level of CHL. 76.9% of the participants knew the importance of early cancer screening tests, 72.7% acknowledged the metastatic capacity of cancer, and the protective factors of cancer, especially, in colon cancer (71.7%). A high proportion of participants received health information about cancer via the internet (50.7%), television (45.3%), social media (40.2%), and doctors (43.6%). Nationality other than UAE (aOR = 1.62, 95% CI = 1.03-2.56, P = .038), having university education (aOR = 2.20, 95% CI = 1.21-3.99, P = .010) compared to those with lower than high school, and having a family history of cancer (aOR = 2.42, 95% CI = 1.33-4.41, P = .004) were positively associated with CHL. Older age (aOR = .36, 95% CI = .17-.75, P = .007 for 50-59 years, and aOR = .29, 95% CI = .11-.82, P = .019) for 60-69 years, higher-income (aOR = .57, 95% CI = .33-.99, P = .047 for 10,000-19,999 AED; aOR = .53, 95% CI = .33-.88, P = .013 for ≥20,000) compared with those earning <10,000 AED were negatively associated with CHL. CONCLUSIONS: CHL among the resident UAE population was moderately adequate, therefore implementation of awareness campaigns seems to be warranted. Moreover, evaluation research targeting the CHL impact on cancer prevention practices and screening is also advocated.

Measurement properties of the Mental Health Literacy Scale (MHLS) validation studies: a systematic review protocol.

INTRODUCTION: Mental Health Literacy (MHL) is important for improving mental health and reducing inequities in treatment. The Mental Health Literacy Scale (MHLS) is a valid and reliable assessment tool for MHL. This systematic review will examine and compare the measurement properties of the MHLS in different languages, enabling academics, clinicians and policymakers to make informed judgements regarding its use in assessments. METHODS AND ANALYSIS: The review will adhere to the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology for systematic reviews of patient-reported outcome measures and the Joanna Briggs Institute (JBI) Manual for Evidence Synthesis and will be presented following the Preferred Reporting Items for Systematic reviews and Meta-Analysis 2020 checklist. The review will be conducted in four stages, including an initial search confined to PubMed, a search of electronic scientific databases PsycINFO, CINAHL, Scopus, MEDLINE, Embase (Elsevier), PubMed (NLM) and ERIC, an examination of the reference lists of all papers to locate relevant publications and finally contacting the MHLS original author to identify validation studies that the searches will not retrieve. These phases will assist us in locating studies that evaluate the measurement properties of MHLS across various populations, demographics and contexts. The search will focus on articles published in English between May 2015 and December 2023. The methodological quality of the studies will be evaluated using the COSMIN Risk of Bias checklist, and a comprehensive qualitative and quantitative data synthesis will be performed. ETHICS AND DISSEMINATION: Ethics approval is not required. The publication will be in peer-reviewed journals and presented at national and international conferences. PROSPERO REGISTRATION NUMBER: CRD42023430924.

The relative validity of a semiquantitative food frequency questionnaire among pregnant women in the United Arab Emirates: The Mutaba'ah study.

Background: Food frequency questionnaire (FFQ) is the most frequently used dietary assessment method in estimating dietary intakes in epidemiological studies. Aim: This study aimed to assess the relative validity of a semiquantitative FFQ in evaluating dietary intake among pregnant women in the United Arab Emirates. Methods: Within the Mutaba'ah study, a subsample of 111 pregnant women completed a semiquantitative FFQ and a single 24-hour dietary recall (24-HDR) regarded as the reference method. Absolute and energy-adjusted nutrient and food intakes between the FFQ and 24-HDR were compared using the Wilcoxon signed ranks test, correlations, Bland-Altman analysis, cross-classification, and weighted kappa analysis. Results: There were no significant differences in reported absolute intakes between the FFQ and 24-HDR for carbohydrates, whole grains, white meat, beta-carotene, vitamin K, sodium, and selenium. Spearman's correlation coefficients between the FFQ and 24-HDR ranged from 0.09 (trans fatty acids) to 0.5 (potassium) for absolute intakes. Correlation decreased after energy adjustment. Bland-Altman analysis showed that the FFQ overestimated intakes compared with 24-HDR and that the limits of agreement were wide. The average percentage of pregnant women classified into the same or adjacent quartile of intake by both methods was 73%. Weighted kappa values ranged from -0.02 (white meat) to 0.33 (magnesium). Conclusion: Our findings showed that the semi-quantitative FFQ is a useful tool in ranking pregnant women from the Emirati population according to their dietary intake. However, the validity of some estimated intakes was poor; hence, certain intakes should be interpreted with caution.

Health literacy among pregnant women in the United Arab Emirates: The Mutaba'ah study.

BACKGROUND: Health literacy is the degree to which individuals can obtain, process, understand, and communicate health-related information. Health literacy among pregnant women, in particular, may have a significant impact on maternal and child health. In the United Arab Emirates, no previous studies have been carried out to investigate the health literacy levels of pregnant women. OBJECTIVE: This study aimed to investigate antenatal health literacy levels and identify associated factors among pregnant Emirati women in the United Arab Emirates. DESIGN: This analysis was based on the baseline cross-sectional data for pregnant women participating in the prospective cohort Mutaba'ah Study, recruited between May 2017 and August 2022. METHODS: Participants completed a self-administered questionnaire during their antenatal visits that collected sociodemographic and pregnancy-related information. Adequacy of health literacy was assessed using the BRIEF health literacy screening tool with adequate health literacy defined as a score ⩾ 17. Regression modeling investigated the association between the pregnant women characteristics with having adequate health literacy level (ability to read and comprehend most patient education materials). RESULTS: A total of 2694 responses to the BRIEF health literacy screening tool were analyzed. Approximately, three-quarters (71.6%) of respondents showed adequate health literacy, followed by marginal (22.8%), and limited (5.6%) health literacy levels, respectively. Higher education levels (adjusted odds ratio (aOR) = 1.74, 95% confidence interval = 1.46-2.08), employment (adjusted odds ratio = 1.35, 95% confidence interval = 1.10-1.65), and adequate social support (adjusted odds ratio = 1.69, 95% confidence interval = 1.26-2.28) were associated with adequate health literacy levels. Participants who expressed worry about birth were less likely to have adequate literacy levels (adjusted odds ratio = 0.70, 95% confidence interval = 0.58-0.85). CONCLUSION: Nearly three-quarters of pregnant women have adequate health literacy. Nevertheless, measures including policies to sustain and enhance health literacy levels among all expectant mothers are required, with a specific focus on those having limited health literacy.

Seat belt use among pregnant women in the United Arab Emirates: the Mutaba'ah Study.

INTRODUCTION: Motor vehicle collisions are a major cause of death and injury among pregnant women and their fetuses. Seat belt use compliance during pregnancy varies in different populations. We aimed to study seat belt use among pregnant women and factors affecting seat belt use during pregnancy in Al Ain City, the United Arab Emirates. METHODS: This cross-sectional analysis used the baseline data collected from pregnant women participating in the Mutaba'ah Study from May 2017 to November 2022. Data were collected using self-administered questionnaires. Variables included sociodemographic, gestation periods and seat belt-related information. All pregnant women who responded to the questions related to seat belt use were included (N=2354). RESULTS: Seat belt use before and during pregnancy was estimated at 69.7% (95% CI 67.9% to 71.6%) and 65.5% (95% CI 63.6% to 67.4%), respectively. The reasons for not using seat belts during pregnancy included being uncomfortable to wear, habitual non-use and considering them unsafe for pregnancy. Age, higher levels of education of the pregnant woman or her spouse, being employed, having a sufficient household income, lower gestational age, and using a seat belt before pregnancy were positively associated with using a seat belt during pregnancy in the bivariate analyses. Pregnant women in their third trimester had independently significant lower odds of using a seat belt compared with those in the first trimester (OR 0.42, 95% CI 0.24 to 0.76). CONCLUSIONS: The findings indicate decreased compliance with seat belt use during pregnancy and as gestation progressed. The decrease was related to several reasons, including feeling uncomfortable wearing seat belts, habitual non-use and unsafe for pregnancy, necessitating appropriate measures to increase awareness. Raising public awareness about the advantages of wearing seat belts during pregnancy and the involvement of healthcare professionals in educating pregnant women are warranted.

Seroepidemiology of Treponema pallidum, Mycoplasma hominis, and Ureaplasma urealyticum in fertility treatment-seeking patients in the Emirate of Abu Dhabi, United Arab Emirates.

BACKGROUND: Several genital pathogens affect fertility. The study estimated the seroprevalence of Treponema pallidum, Ureaplasma urealyticum, and Mycoplasma hominis and identify specific factors associated with exposure to at least one of these pathogens in patients seeking fertility treatment in the Emirate of Abu Dhabi, United Arab Emirates. METHODS: A seroepidemiological survey was conducted in a major fertility clinic in the Emirate of Abu Dhabi. Serum samples were screened for eight immunoglobulins (IgG, IgM, and IgA) against T. pallidum, U. urealyticum, and M. hominis using enzyme-linked immunoassays. Factors associated with seropositivity to at least one of the pathogens were investigated. RESULTS: The study surveyed 308 patients seeking fertility treatment (mean age: 36.1 ± 6.8 years). Most patients were female (88.0%), 24.9% had at least one chronic comorbidity, 19.3% had a previous genital infection, and 68.1% had been diagnosed with infertility for ≥ 6 months. Ig seroprevalence of T. pallidum (IgG: 3.0%, IgM: 3.2%), U. urealyticum (IgG: 2.6%, IgM: 2.0%), and M. hominis (IgG: 33.9%) was 6.4%, 4.6%, and 49.0%, respectively. Nearly one quarter (23.0%) and one decile (9.2%) of the patients exhibited evidence of ongoing infection (IgM seropositivity) or recent infection (IgA seropositivity) with M. hominis, respectively. Overall, 53.0% of the patients were seropositive for at least one of the screened immunoglobulins. Patients with an education level of secondary schooling or below (66.2%) or those who were unemployed (61.1%) had a higher seroprevalence of IgG antibodies compared with patients with college or higher-level education (48.4%) or those who were employed (48.1%) (p < 0.05). CONCLUSION: Exposure to T. pallidum or U. urealyticum was relatively low, whereas that to M. hominis was common in the surveyed patients. Enhanced awareness and screening programmes for genital pathogens are crucial to prevent and control the transmission of infections and reduce the growing burden of infertility.

Temporal trends of hemoglobin among pregnant women: The Mutaba'ah study.

BACKGROUND: Low hemoglobin (Hb) level is a leading cause of many adverse pregnancy outcomes. Patterns of changes in Hb levels during pregnancy are not well understood. AIM: This study estimated Hb levels, described its changing patterns across gestational trimesters, and identified factors associated with these changes among pregnant women. MATERIALS AND METHODS: Data from the ongoing maternal and child health cohort study-The Mutaba'ah Study, was used (N = 1,120). KML machine learning algorithm was applied to identify three distinct cluster trajectories of Hb levels between the first and the third trimesters. Descriptive statistics were used to profile the study participants. Multinomial multivariable logistic regression was employed to identify factors associated with change patterns in Hb levels. RESULTS: The three identified clusters-A, B and C-had, respectively, median Hb levels (g/L) of 123, 118, and 104 in the first trimester and 119, 100, and 108 in the third trimester. Cluster 'A' maintained average normal Hb levels in both trimesters. Cluster 'B', on average, experienced a decrease in Hb levels below the normal range during the third trimester. Cluster 'C' showed increased Hb levels in the third trimester but remained, on average, below the normal range in both trimesters. Pregnant women with higher gravida, diabetes mellitus (type 1 or 2), nulliparity or lower level of education were more likely to be in cluster 'B' than the normal cluster 'A'. Pregnant women who reported using iron supplements before pregnancy or those with low levels of education. were more likely to be in cluster 'C' than the normal cluster 'A'. CONCLUSION: The majority of pregnant women experienced low Hb levels during pregnancy. Changes in Hb levels during pregnancy were associated with parity, gravida, use of iron before pregnancy, and the presence of diabetes mellitus (type 1 or 2).

Predicting preterm birth using explainable machine learning in a prospective cohort of nulliparous and multiparous pregnant women.

Preterm birth (PTB) presents a complex challenge in pregnancy, often leading to significant perinatal and long-term morbidities. "While machine learning (ML) algorithms have shown promise in PTB prediction, the lack of interpretability in existing models hinders their clinical utility. This study aimed to predict PTB in a pregnant population using ML models, identify the key risk factors associated with PTB through the SHapley Additive exPlanations (SHAP) algorithm, and provide comprehensive explanations for these predictions to assist clinicians in providing appropriate care. This study analyzed a dataset of 3509 pregnant women in the United Arab Emirates and selected 35 risk factors associated with PTB based on the existing medical and artificial intelligence literature. Six ML algorithms were tested, wherein the XGBoost model exhibited the best performance, with an area under the operator receiving curves of 0.735 and 0.723 for parous and nulliparous women, respectively. The SHAP feature attribution framework was employed to identify the most significant risk factors linked to PTB. Additionally, individual patient analysis was performed using the SHAP and the local interpretable model-agnostic explanation algorithms (LIME). The overall incidence of PTB was 11.23% (11 and 12.1% in parous and nulliparous women, respectively). The main risk factors associated with PTB in parous women are previous PTB, previous cesarean section, preeclampsia during pregnancy, and maternal age. In nulliparous women, body mass index at delivery, maternal age, and the presence of amniotic infection were the most relevant risk factors. The trained ML prediction model developed in this study holds promise as a valuable screening tool for predicting PTB within this specific population. Furthermore, SHAP and LIME analyses can assist clinicians in understanding the individualized impact of each risk factor on their patients and provide appropriate care to reduce morbidity and mortality related to PTB.

Node embedding-based graph autoencoder outlier detection for adverse pregnancy outcomes.

Adverse pregnancy outcomes, such as low birth weight (LBW) and preterm birth (PTB), can have serious consequences for both the mother and infant. Early prediction of such outcomes is important for their prevention. Previous studies using traditional machine learning (ML) models for predicting PTB and LBW have encountered two important limitations: extreme class imbalance in medical datasets and the inability to account for complex relational structures between entities. To address these limitations, we propose a node embedding-based graph outlier detection algorithm to predict adverse pregnancy outcomes. We developed a knowledge graph using a well-curated representative dataset of the Emirati population and two node embedding algorithms. The graph autoencoder (GAE) was trained by applying a combination of original risk factors and node embedding features. Samples that were difficult to reconstruct at the output of GAE were identified as outliers considered representing PTB and LBW samples. Our experiments using LBW, PTB, and very PTB datasets demonstrated that incorporating node embedding considerably improved performance, achieving a 12% higher AUC-ROC compared to traditional GAE. Our study demonstrates the effectiveness of node embedding and graph outlier detection in improving the prediction performance of adverse pregnancy outcomes in well-curated population datasets.

Hesitancy toward vaccination against COVID-19: A scoping review of prevalence and associated factors in the Arab world.

Despite widespread availability of vaccines against SARS-CoV-2 virus, the cause of Coronavirus Disease 2019 (COVID-19), its uptake in many Arab countries is relatively low. This literature review aimed to scope evidence on COVID-19 vaccine hesitancy (VH) in the Arab world. A total of 134 articles reporting prevalence of COVID-19 VH and associated factors, conducted in any of the 22 Arab League countries, were reviewed. COVID-19 VH prevalence ranged from 5.4% to 83.0%. Female gender, young age, low education level and lack of previous influenza vaccine uptake were most commonly reported to be associated with COVID-19 VH. The most-reported personal concerns contributing toward VH were related to the rapid development, safety and side effects of vaccine, as well as an overall lack of trust in government policies toward pandemic control and widespread conspiracy theories. Tailored interventions to enable the distribution of trusted information and enhance public acceptance of immunization are warranted.

Knowledge, attitudes, and perceptions of the multi-ethnic population of the United Arab Emirates on genomic medicine and genetic testing.

INTRODUCTION: The adoption and implementation of genomic medicine and pharmacogenomics (PGx) in healthcare systems have been very slow and limited worldwide. Major barriers to knowledge translation into clinical practice lie in the level of literacy of the public of genetics and genomics. The aim of this study was to assess the knowledge, attitudes, and perceptions of the United Arab Emirates (UAE) multi-ethnic communities toward genomic medicine and genetic testing. METHOD: A cross-sectional study using validated questionnaires was distributed to the participants. Descriptive statistics were performed, and multivariable logistic regression models were used to identify factors associated with knowledge of genomics. RESULTS: 757 individuals completed the survey. Only 7% of the participants had a good knowledge level in genetics and genomics (95% CI 5.3-9.0%). However, 76.9% of the participants were willing to take a genetic test if their relatives had a genetic disease. In addition, the majority indicated that they would disclose their genetic test results to their spouses (61.5%) and siblings (53.4%). CONCLUSIONS: This study sets the stage for the stakeholders to plan health promotion and educational campaigns to improve the genomic literacy of the community of the UAE as part of their efforts for implementing precision and personalized medicine in the country.

Chlamydia trachomatis Seroepidemiology and Associated Factors in Fertility Treatment-Seeking Patients in the Abu Dhabi Emirate, United Arab Emirates.

PURPOSE: This study was designed to investigate the seroepidemiology of and identify factors associated with exposure to Chlamydia trachomatis ( C. trachomatis ) in fertility treatment-seeking patients in Abu Dhabi Emirate, United Arab Emirates. METHODS: A total of 308 fertility treatment-seeking patients were surveyed. Seroprevalence of past (IgG positive), current/acute (IgM positive), and active infection (IgA positive) with C. trachomatis was quantified. Factors associated with exposure to C. trachomatis were identified. RESULTS: Overall, 19.0%, 5.2%, and 1.6% found to have past, acute/recent, and ongoing active infection with C. trachomatis , respectively. Overall, 22.0% of the patients were seropositive to any of the 3 to C. trachomatis antibodies. Male compared with female patients (45.7% vs. 18.9%, P < 0.001) and current/ex-smokers compared with nonsmokers (44.4% vs. 17.8%) had higher seropositivity. Patients with a history of pregnancy loss had higher seropositivity compared with other patients (27.0% vs. 16.8%), particularly recurrent pregnancy losses (33.3%). Current smoking (adjusted odds ratio [aOR], 3.8; 95% confidence interval, 1.32-11.04) and history of pregnancy loss (adjusted odds ratio [aOR], 3.0; 95% confidence interval, 1.5-5.8) were significantly associated with higher odds of exposure to C. trachomatis . CONCLUSIONS: The observed high seroprevalence of C. trachomatis , particularly in patients with a history of pregnancy loss, possibly indicates the contribution of C. trachomatis to the growing burden of infertility in the United Arab Emirates.

Cardiac phase detection in echocardiography using convolutional neural networks.

Echocardiography is a commonly used and cost-effective test to assess heart conditions. During the test, cardiologists and technicians observe two cardiac phases-end-systolic (ES) and end-diastolic (ED)-which are critical for calculating heart chamber size and ejection fraction. However, non-essential frames called Non-ESED frames may appear between these phases. Currently, technicians or cardiologists manually detect these phases, which is time-consuming and prone to errors. To address this, an automated and efficient technique is needed to accurately detect cardiac phases and minimize diagnostic errors. In this paper, we propose a deep learning model called DeepPhase to assist cardiology personnel. Our convolutional neural network (CNN) learns from echocardiography images to identify the ES, ED, and Non-ESED phases without the need for left ventricle segmentation or electrocardiograms. We evaluate our model on three echocardiography image datasets, including the CAMUS dataset, the EchoNet Dynamic dataset, and a new dataset we collected from a cardiac hospital (CardiacPhase). Our model outperforms existing techniques, achieving 0.96 and 0.82 area under the curve (AUC) on the CAMUS and CardiacPhase datasets, respectively. We also propose a novel cropping technique to enhance the model's performance and ensure its relevance to real-world scenarios for ES, ED, and Non ES-ED classification.

Incidence of thyroid cancer in Abu Dhabi, UAE: A registry-based study.

Context: Thyroid cancer is the most common endocrine malignancy. It is ranked second among females of the Gulf Cooperation Council States and the sixth most common cancer among the United Arab Emirates population. Aims: We herein describe the incidence and distribution of different types of thyroid cancers and the demographic features of patients diagnosed with thyroid cancer in the Emirate of Abu Dhabi. Settings and Design: The study design was Abu Dhabi cancer registry and retrospective chart review. Subjects and Methods: This is a retrospective cancer registry description of patients with the different types of thyroid cancers diagnosed between January 2012 and December 2015 in the Emirate of Abu Dhabi. The incidence of thyroid cancer throughout the study period was calculated. Gender, age, ethnicity, and type of thyroid cancer were described. Statistical Analysis Used: Descriptive statistics of patients' characteristics are reported as means (standard deviation) for continuous variables and total and relative frequencies (percentage) for categorical variables. Results: The incidence of thyroid cancer was found to increase annually, reaching 7.9 cases per 100,000 population in 2015. A total of 603 patients were diagnosed with thyroid cancer in the Emirate of Abu Dhabi from 2012 to 2015. Of these, 431 (71.5%) were women and 172 (28.5%) were men. The overall mean age at diagnosis was 40.2 years. Over a third of the patients were between 30 and 39 years. The classical papillary thyroid cancer type was found in 67.7% of cases. Conclusions: A substantial increase in thyroid cancer rates was found between 2012 and 2015. The majority of thyroid cancer cases were diagnosed in women between the ages of 30 and 39 years. Classical papillary thyroid cancer was the most common type.

A data-efficient zero-shot and few-shot Siamese approach for automated diagnosis of left ventricular hypertrophy.

Left ventricular hypertrophy (LVH) is a life-threatening condition in which the muscle of the left ventricle thickens and enlarges. Echocardiography is a test performed by cardiologists and echocardiographers to diagnose this condition. The manual interpretation of echocardiography tests is time-consuming and prone to errors. To address this issue, we have developed an automated LVH diagnosis technique using deep learning. However, the availability of medical data is a significant challenge due to varying industry standards, privacy laws, and legal constraints. To overcome this challenge, we have proposed a data-efficient technique for automated LVH classification using echocardiography. Firstly, we collected our own dataset of normal and LVH echocardiograms from 70 patients in collaboration with a clinical facility. Secondly, we introduced novel zero-shot and few-shot algorithms based on a modified Siamese network to classify LVH and normal images. Unlike traditional zero-shot learning approaches, our proposed method does not require text vectors, and classification is based on a cutoff distance. Our model demonstrates superior performance compared to state-of-the-art techniques, achieving up to 8% precision improvement for zero-shot learning and up to 11% precision improvement for few-shot learning approaches. Additionally, we assessed the inter-observer and intra-observer reliability scores of our proposed approach against two expert echocardiographers. The results revealed that our approach achieved better inter-observer and intra-observer reliability scores compared to the experts.

High prevalence of cardiometabolic risk factors amongst young adults in the United Arab Emirates: the UAE Healthy Future Study.

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of death in the world. In the United Arab Emirates (UAE), it accounts for 40% of mortality. CVD is caused by multiple cardiometabolic risk factors (CRFs) including obesity, dysglycemia, dyslipidemia, hypertension and central obesity. However, there are limited studies focusing on the CVD risk burden among young Emirati adults. This study investigates the burden of CRFs in a sample of young Emiratis, and estimates the distribution in relation to sociodemographic and behavioral determinants. METHODS: Data was used from the baseline data of the UAE Healthy Future Study volunteers. The study participants were aged 18 to 40 years. The study analysis was based on self-reported questionnaires, anthropometric and blood pressure measurements, as well as blood analysis. RESULTS: A total of 5167 participants were included in the analysis; 62% were males and the mean age of the sample was 25.7 years. The age-adjusted prevalence was 26.5% for obesity, 11.7% for dysglycemia, 62.7% for dyslipidemia, 22.4% for hypertension and 22.5% for central obesity. The CRFs were distributed differently when compared within social and behavioral groups. For example, obesity, dyslipidemia and central obesity in men were found higher among smokers than non-smokers (p < 0.05). And among women with lower education, all CRFs were reported significantly higher than those with higher education, except for hypertension. Most CRFs were significantly higher among men and women with positive family history of common non-communicable diseases. CONCLUSIONS: CRFs are highly prevalent in the young Emirati adults of the UAE Healthy Future Study. The difference in CRF distribution among social and behavioral groups can be taken into account to target group-specific prevention measures.

Characterization of Fertility Clinic Attendees in the Abu Dhabi Emirate, United Arab Emirates: A Cross-Sectional Study.

This study describes the primary and secondary infertility in patients attending fertility clinics and reports factors associated with primary infertility. A cross-sectional survey was conducted in two fertility clinics in Abu Dhabi Emirate, United Arab Emirates (UAE) between December 2020 and May 2021. The collected information covered sociodemographic, lifestyle, medical, and fertility-related characteristics. The mean age and age at marriage (±SD) of the 928 patients were 35.7 (±6.7) and 25.2 (±6.3) years, respectively. Of the total, 72.0% were obese and overweight, 26.6% reported a consanguineous marriage, and 12.5% were smokers. Secondary infertility (62.5%) was more frequent than primary infertility (37.5%). Primary infertility was inversely associated with age (aOR, 0.94, 95% CI: 0.91-0.98) and not being overweight (aOR, 0.6, 95% CI: 0.4-0.9) while positively associated with a nationality other than Middle Eastern nationality (aOR, 1.9, 95% CI: 1.1-3.3), married for ≤5 years (aOR, 6.0, 95% CI: 3.9-9.3), in a nonconsanguineous marriage (aOR, 2.4, 95% CI: 1.5-3.9), having a respiratory disease (aOR, 2.3, 95% CI: 1.1-4.6), an increased age at puberty (aOR, 1.2, 95% CI: 1.0-1.3), and self-reported 6-<12 months (aOR, 2.4, 95% CI: 1.2-5.1) and ≥12 months (aOR, 3.4, 95% CI: 1.8-6.4) infertility. Patients with primary infertility were more likely to be diagnosed with infertility of an ovulation, tubal, or uterine origin (aOR, 3.9, 95% CI: 1.9-7.9). Secondary infertility was more common than primary infertility. Several preventable fertility-related risk factors including overweight, smoking, and diabetes were found to be common among the fertility clinic attendees.