Investigation of some anaerobic bacteria in the sputum of cystic fibrosis patients and healthy people in Tehran, Iran by Homa Hamayeli, Ahya Abdi-Ali, Bahareh Attaran, Morvarid Shafiei, Mohammadreza Modaresi

“…The results of Spearman's correlation also showed an inverse relationship between age and gender (men) with disease and a direct relationship between antibiotic use and disease. …”
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Prevalence of angle’s classification of malocclusion among patients Attending Orthodontic Department in College of Dentistry‐ retrospective cross‐sectional study by Blend Hussein Mohammad, Mahmood Fawzi Abdul‐Jabbar, Mansour Hadi Mohammed

“…This research aims to know the percentage of class I, class II, class III malocclusion in patients attending orthodontic clinics in College of Dentistry/ Hawler Medical University and their relationship with age, gender and stages of dental development. Methods: A total of 110 case sheets were collected from orthodontic clinic, patients that have asymmetric angle`s molar classification, any local or systemic problems, or undergone any orthodontic treatment before, were excluded, so, a sample size of 87 patients were taken (41 male and 46 female), with ages ranging from 6 to 25, after coding case sheets, data were inputting in an excel sheet of Microsoft Office and analyzed by chi‐square test. …”
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Prevalence of vitamin D deficiency in children with cerebral palsy and autism spectrum disorder: a comparative pilot study by Ruzha Pancheva, Albena Toneva, Yana Bocheva, Miglena Georgieva, Krassimira Koleva, Ivan Yankov

“…Demographic analysis revealed significant gender (p<0.001) and ethnic differences (p=0.006). …”
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A primary school-based dengue solution model for post-COVID-19 in southern Thailand: Students understanding of the dengue solution and larval indices surveillance system. by Jiraporn Jaroenpool, Sarunya Maneerattanasak, Femi Adesina, Atchara Phumee, Muhammad Haroon Stanikzai, Chumpon Ponprasert, Yingqin Zheng, Shamarina Shohaimi, Truong Thanh Nam, Temesgen Anjulo Ageru, Amin Nordin Syafinaz, Charuai Suwanbamrung

“…The students with good scores on UDS increased from 2.9% to 54.6% after the intervention, and there is still a prevalent lack of good understanding among more than 85% of the students on ULISS. Meanwhile, gender, class, and school significantly influence (p <0.05) UDS and ULISS among students in either the pre-test or post-test. …”
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Examining endothelial function and carotid artery disease in patients with inflammatory bowel disease: a systematic review protocol by Hao Wu, Zhenguo Liu, Tingzi Hu, Meihua Xu, Hong Hao, Michael A Hill, Canxia Xu

“…Subgroup analyses, conditional number of studies retrieved and their sample size, will be stratified according to participant disease category or gender or disease activity.Ethics and dissemination Formal ethics approval is not required as individual data will not be collected. …”
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The Economic Burden of Infective Endocarditis due to Injection Drug Use in Australia: A Single Centre Study—University Hospital Geelong, Barwon Health, Victoria by Ohide Otome, Alexander Wright, Vanika Gunjaca, Steve Bowe, Eugene Athan

“…The median age was 39 years. The gender distribution was equal. Heroin (71%) and methamphetamine (33%) were the most frequently used. 74% (17/23) required intensive care unit (ICU) admission. …”
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What matters for environmental concerns among university students in Bangladesh? An empirical study by Bijoya Saha, Mufti Nadimul Quamar Ahmed, Khandaker Jafor Ahmed, Shah Md Atiqul Haq

“…The analysis involved variables such as gender, completion of university courses related to the environment or climate change, disciplinary background, and vulnerability to climate change or extreme weather events in their home locality. …”
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Evaluating Active Labour Market Policies in Türkiye by Regions via Multidimensional Scaling and Clustering Analysis by Özlem Demir, Batuhan Ersöz

“…Given the importance of the differences between women and men in participation levels in employment, relevant analyses have also been carried out focusing on gender differentiation at the regional level. According to the results of the study, it is observed that Southeast Anatolia (TRC) is significantly separated from other regions in terms of total participation rates. …”
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Dental Implant Failure Risk in Patients with Bruxism—A Systematic Review and Meta-Analysis of the Literature by Josephine A. Ionfrida, Hanna L. Stiller, Peer W. Kämmerer, Christian Walter

“…This study aimed to provide more accurate knowledge about the relationship between bruxism and implant loss in patients (number, age, gender) with different numbers of implants and prosthetic restorations, considering the follow-up time, compared to non-bruxers. …”
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Investigating the Effect of TV Advertising Strategies on Cognitive, Emotional and Behavioral Dimensions of Female Consumer Attitudes by Afsaneh Javan Hesar Shaneh, Naser Yazdani

“…Examining the sub-hypotheses showed that repetition of advertisements, approval of celebrities, gender attractions, humorous characters, and product comparison affect female consumers' cognitive and emotional attitudes. …”
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Association of systemic vitamin D on the course of dengue virus infection in adults: a single-centre dengue cohort study at a large institution in Singapore by Sapna P Sadarangani, Htet Lin Htun, Weiping Ling, Robert Hawkins, Tsin Wen Yeo, Laura Rivino, Paul A MacAry, Yee-Sin Leo

“…The 25-(OH) D showed an inverse linear trend with severe dengue manifestations based on the WHO 2009 criteria (adjusted risk ratio 0.72, 95% confidence interval 0.57–0.91, P < 0.01) after adjustment for age, gender and ethnicity. Conclusion: Limited studies have evaluated the role of systemic 25-(OH) D on dengue severity. …”
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The features and factors influencing the effectiveness of advertising activities and TV companies of Sughd region of the Republic of Tajikistan by A. A. Urunov, M. X. Kosimova

“…Also, by the analysis of viewing time in the context of age and gender of TV viewers, the time of the best out of advertising on the air has been set, that is, the time interval when the maximum number of viewers gathers at their TV sets. …”
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Vitamin D Deficiency in Lebanese Adults: Prevalence and Predictors from a Cross-Sectional Community-Based Study by Asma Arabi, Nariman Chamoun, Mona P. Nasrallah, Hani M. Tamim

“…Vitamin D deficiency was highly prevalent whether using the cutoff of 50 nmol/L or using the more conservative cutoff of 30 nmol/L; more specifically, 71.9% and 39.1% of the study population were deficient using the above cutoffs, respectively In the bivariate analyses, gender, BMI and body fat mass, socioeconomic factors (income and education level), alcohol consumption, dietary intake of fat and of vitamin D, serum LDL-cholesterol, and serum creatinine were all associated with vitamin D status. …”
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Determination of Leisure Time Orientations in University Students, The Relationship Between Leisure Time Boredom Perceptions and Social Network Sites Usage Purposes by Nazlı Deniz Öz, Metin Özlü, Erdal Taşgın

“…As a result of the study, in favour of male participants in the sub-dimension of boredom from LTBPS sub-dimensions according to gender variable, in favour of male participants in all SNSUPS sub-dimensions; for 1-3 hours according to the weekly leisure time variable in the case of two of the LTBPS sub-dimensions, and SNSUPS sub-dimensions for 1-3 hours and 4-6 hours in sub-dimension for identification and recognition; there was no significant difference in the LTBPS sub-dimension according to the activity preference variable, but significant results were observed in all SNSUPS sub-dimension. …”
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The adoption of telemedicine by healthcare practitioners in South Africa by Margaret Cullen, Andre Calitz, Sasha Boucher, Prashna Buddan

“…Contribution and/or value-add: Gender significantly influenced the dependent factor, behavioural intention to adopt telemedicine. …”
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Mobile phone addiction and negative emotions: an empirical study among adolescents in Jiangxi Province by Jin Luo, Guanqing Cai, Xiaofang Zu, Qiming Huang, Qing Cao

“…The data were analyzed using Pearson correlation analysis, restricted cubic spline (RCS), and structural equation modelling (SEM) with the aim of exploring the mechanisms and differences in the effects of mobile phone addiction on negative emotions of different youth groups.ResultsThe findings of the study indicated notable discrepancies in mobile phone addiction by gender and place of residence. Secondly, mobile phone addiction among adolescents positively drives negative emotions. …”
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Barriers and facilitators associated with the use of mental health services among immigrant students in high-income countries: A systematic scoping review. by Christelle Dombou, Olumuyiwa Omonaiye, Sarah Fraser, Jude Mary Cénat, Karine Fournier, Sanni Yaya, Sanni Yaya

“…However, various barriers like stigma, insufficient knowledge, or adherence to traditional gender roles (such as masculinity) hinder their utilization of these services. …”
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What differentiates adolescents who have attempted suicide from those without suicidal history? A retrospective psychiatric inpatient study by Diana Puzio, Ernest Jan Bobeff, Katarzyna Bliźniewska-Kowalska, Aleksandra Lewandowska, Piotr Gałecki

“…In the whole group SA was associated with female gender, cigarette smoking, nonsuicidal self-injury (NSSI) and neglect of emotional or social needs. …”
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Ultrasonographic measurement of the peroneal and tibial nerves in patients with rheumatoid arthritis with symptoms or signs of polyneuropathy: A cross-sectional study by Serdar Kaymaz, Hakan Alkan, Uǧur Karasu, Veli Çobankara

“…Results: No statistically significant difference was found among the groups in terms of age, gender, and laboratory findings. However, a statistically significant difference was found among these three groups in comparison with PD-Q, NCS values, and nerve CSA (P < 0.05). …”
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Improving eating disorder care for underserved groups: a lived experience and quality improvement perspective by Alykhan Asaria

“…The 12 ‘underserved groups’ (USGs) are as follows: [USG. 1] People with longstanding EDs and/or older-age ED sufferers; [USG. 2] Younger children/preadolescents; [USG. 3] People with under-recognised/underappreciated EDs; [USG. 4] People with higher weights; [USG. 5] People with comorbidities; [USG. 6] People with neurodevelopmental conditions (neurodiverse people); [USG. 7] Digitally excluded people; [USG. 8] Socioeconomically and/or sociogeographically disadvantaged people; [USG. 9] Ethnic/racial minorities; [USG. 10] Sexual and gender-diverse people; [USG. 11] Males; [USG. 12] Caregivers/loved ones. …”
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