Women Empowered to Connect With Addiction Resources and Engage in Evidence-Based Treatment (WE-CARE)—an mHealth Application for the Universal Screening of Alcohol, Substance Use, D... by Krystyna Isaacs, Autumn Shifflett, Kajal Patel, Lacey Karpisek, Yi Cui, Maayan Lawental, Golfo Tzilos Wernette, Brian Borsari, Katie Chang, Tony Ma

“…The next version of WE-CARE will include normative scores for participants to self-evaluate their screening status compared with their age- and gender-matched peers and enhanced linkages to care features. …”
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A cross-sectional study of parental perspectives on children about COVID-19 and classification using machine learning models by Fahmida Kousar, Arshiya Sultana, Marwan Ali Albahar, Manoj Shamkuwar, Md Belal Bin Heyat, Mohd Ammar Bin Hayat, Saba Parveen, John Irish G. Lira, John Irish G. Lira, Khaleequr Rahman, Abdullah Alammari, Eram Sayeed

“…Correlating these insights with sociodemographic factors underscores the need for tailored educational initiatives, particularly in rural areas, and for addressing gender and socioeconomic disparities. The efficacy of advanced analytics, exemplified by the SVM classifier, underscores the potential for informed decision-making in public health communication and targeted interventions, ultimately empowering parents to safeguard their children’s well-being amidst the ongoing pandemic.…”
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Analisis Faktor-Faktor Penentu Kepuasan Pengguna Layanan Paylater Dengan Pendekatan Regresi Linier by Kastaman, Siska Komala Sari, Tora Fahrudin, Heru Nugroho

“…The research method used is qualitative by means of a survey of 280 students with an average age group of 15-20 years, while the factors studied after conducting a literature study to find the strength of the relationship between the five independent variables: study program, gender, monthly income, monthly expenses, and awareness of paylater to the dependent variable, namely customer satisfaction with paylater services, were analysed using multiple linear regression. …”
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Sofosbuvir-Based Therapies for Patients with Hepatitis C Virus Infection: Real-World Experience in China by Chengguang Hu, Guosheng Yuan, Junwei Liu, Huaping Huang, Yanyu Ren, Yinping Li, Xuefu Chen, Wei Li, Tao Wu, Hong Deng, Yanzhong Peng, Yong-Yuan Zhang, Yuanping Zhou

“…No significant differences in efficacy were detected among different regimens (93% versus 97% versus 100%, respectively, P=0.153), gender (95% for male versus 96% for female, P=0.655), or baseline HCV RNA lever (96% versus 95%, respectively, P=0.614). …”
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Elevated Circulating Adipocyte-Fatty Acid Binding Protein Levels Predict Incident Ischemic Cardiovascular Events in a Longitudinal and Prospective AMI Aging Study by Zhao X, Zhao H, Chen R, Zhou J, Li N, Li J, Yan S, Liu C, Zhou P, Chen Y, Song L, Yan H

“…Initially, participants were stratified into three groups according to the tertile levels of FABP4, followed by further categorization based on various lipid profiles and specific inflammatory markers.Results: On follow-up (median 751 days, maximum 1506 days), a total of 158 ischemic events were recorded. 1) In multivariable models meticulously adjusted for age, gender, traditional coronary heart disease factors, Killip classification, and discharge medications, the association of elevated levels of FABP4 (Tertile 3 HR 1.618 [1.061 to 2.468], p=0.026), augmented concentrations of PTX3 (Tertile 3 HR 1.811 [1.211 to 2.710], p=0.004), or LL-37 (Tertile 3 HR 0.651 [0.433 to 0.981], p=0.040) with ischemic risk was markedly intensified. 2) Multivariate HRs associated with 1 standard deviation (SD) (mg/dL) increase in the FABP4 parameters were as follows in different subgroups. 1-SD difference in FABP4 was associated with a 23%, 23%, 21 and 29% increase in ischemic events over after fully adjusted the confounding risk factors among male, patients with hyperlipidemia, hypertension and diabetes respectively. 3) The Kaplan-Meier curve demonstrated significant differences between the tertiles of FABP4 index levels among all enrolled participants (p=0.0180).Conclusion: This study reinforces the utility of FABP4 for enhancing risk stratification specifically among older patients diagnosed with ST-elevation myocardial infarction.Keywords: FABP4, lipid profile, PTX3, LL-37, ischemic vascular events…”
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Equine piroplasmosis in different geographical areas in France: Prevalence heterogeneity of asymptomatic carriers and low genetic diversity of Theileria equi and Babesia caballi by Maggy Jouglin, Claire Bonsergent, Nathalie de la Cotte, Mickaël Mège, Céline Bizon, Anne Couroucé, Élodie-Anne Lallemand, Agnès Leblond, Louise C Lemonnier, Aurélia Leroux, Ilaria Marano, Alexandre Muzard, Émilie Quéré, Marion Toussaint, Albert Agoulon, Laurence Malandrin

“…A positive relationship was observed between the frequencies of asymptomatic carriers and the frequency of previous acute piroplasmosis reported from the owner across all four geographic areas. Neither horse gender nor age showed a significant effect on the frequency of asymptomatic carriers. …”
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Benefits Conferred by Peer-Support Nursing Intervention to Pulmonary Function and Quality of Life in Nonsmoking Patients with COPD by Xiaoling Yao, Xiaoyu Wang, Jing Yuan, Zhikang Huang, Dan Wu, Hongyan Xu

“…There was no significant statistical difference on the general information between the two groups in terms of age, gender, and course of disease (P>0.05). Before intervention, the social support score involving subjective support, objective support, utilization of support, and total score revealed slight difference between the two groups (P>0.05). …”
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Patients’ loyalty to primary care institutions and associated factors in China: a cross-sectional study by Liqing Li, Qi Zhang, Liyong Zhu, Guohua Zeng, Hongwei Huang, Zhensheng Chen, Xiaogang Zhou, Xiaofang Wang, Zisheng Xu, Chunmei Wu, Di Yang, Xiaoting Zhai, Sule Yang, Zuxun Lu, Yong Gan, Zuxun Lu

“…Conclusion Patients’ loyalty among PCIs was found to be above average in China. Gender, age, marital status, education level, occupation, health status, number of family members, family doctor contract, patients’ trust, patients’ satisfaction, and willingness to obtain medical treatment from PCIs were significant predictors of patients’ loyalty.…”
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Efficacy of Intrathecal 0.75% Hyperbaric Ropivacaine versus 0.5% Hyperbaric Bupivacaine for Elective Inguinal and Perineal Surgery: A Randomised Double-blinded Clinical Study by Bhavini Shah, Dipanjali Mahanta

“…Results: Demographic profile in terms of age {Mean±Standard Deviation (SD) in group RH: 42.93±14.73 years vs group BH: 39.06±11.94 years), gender distribution, type of surgery performed and its duration (group RH: 85.67±39.5 minutes vs group BH: 98.4±32.8 minutes) was not significant. …”
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Implementation of Compensation-Sensitive Shot-Style-Feedback of Aiming Point Training Data at the Swiss Shooting Federation by Dino Tartaruga, Ralf Kredel

“…Comparison of historical data also provides valuable insight into performance development across disciplines, gender, and age for specific technical characteristics. …”
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Childhood wasting and associated factors in Africa: evidence from standard demographic and health surveys from 35 countries by Tadesse Tarik Tamir, Alebachew Ferede Zegeye, Belayneh Shetie Workneh, Mohammed Seid Ali, Almaz Tefera Gonete, Masresha Asmare Techane, Mulugeta Wassie, Alemneh Tadesse Kassie, Medina Abdela Ahmed, Sintayehu Simie Tsega, Yilkal Abebaw Wassie, Berhan Tekeba, Enyew Getaneh Mekonen

“…Several factors were significantly associated with childhood wasting, including the child’s age, male gender, birth weight, maternal education level, wealth index, lack of antenatal care (ANC) visits, home delivery, multiple gestational births, and rural residence. …”
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Adherence to integrated care using the ‘Atrial fibrillation Better Care' pathway in asymptomatic patients with atrial fibrillation improves clinical outcomes: A report from the pro... by Yodying Kaolawanich, Arjbordin Winijkul, Ahthit Yindeengam, Poom Sairat, Gregory Y.H. Lip, Rungroj Krittayaphong

“…After adjusting for age, gender, and baseline comorbidities, adherence to the ABC pathway remained significantly associated with a lower rate of composite endpoints (HR 0.69, 95 % CI 0.49–0.98, p = 0.03) and all-cause death (HR 0.58, 95 % CI 0.38–0.90, p = 0.01) compared to non-adherence. …”
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Prevalence of and factors associated with long COVID among diverse healthcare workers in the UK: a cross-sectional analysis of a nationwide study (UK-REACH) by Kamlesh Khunti, Katherine Woolf, Luke Bryant, Manish Pareek, Carolyn Tarrant, Christopher A Martin, Amani Al-Oraibi, Laura B Nellums

“…We found that specific demographic (older age and female gender) and occupational factors (nursing/midwifery and allied health professions) were associated with higher odds of long COVID. …”
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Determining the Prevalence of Pain in Adult Patients Hospitalized in a University Hospital in Western Türkiye: An Observational Point Prevalence Study by Erkan Özduran, Volkan Hancı, Yüksel Erkin, Ali Avcı, Ali Emircan Ilgınlı, Burakcan Budakın, Deniz Metin Açıkgöz, Gökhan Gökmen, Mehmet Fatih Erfidan, Muhammed Can Feda Dinç, Rana Elif Aydoğdu, Soner Demircan, Tunahan Birkol

“…A significant difference was found in between in the presence of pain according to gender (p=0.034). A moderate positive correlation was found between the worst pain intensity in the last 24 h and the least pain intensity in the last 24 h (r=0.401, p…”
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Hubungan Kejadian Internet Addiction dengan Prestasi Belajar pada Mahasiswa FK Unand by Rizky Erizka, Nadjmir Nadjmir, Elly Usman

“…Based on the analyzed result, it confirm that the internet addiction cause problems in academic</em><em> achievement</em><em>. 1.1% samples suffer the severe internet addiction, intermediate 34.4% and mild 37.7%. By gender, more females suffer the internet addiction than males</em><em> because there </em><em>were</em><em> more female than male</em><em>. …”
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Evaluating the use of coronary artery calcium scoring as a tool for coronary artery disease (CAD) risk stratification and its association with coronary stenosis and CAD risk factor... by Afrose Liaquat, Ameerdad Khan, Saeed Ullah Shah, Hania Iqbal, Safa Iqbal, Atif Iqbal Rana, Habib Ur Rahman

“…The study population was analysed for presence of conventional risk factors (gender, age, diabetes, hypertension, body mass index, dyslipidaemia) and association with CACS (zero: n=534; minimal: 0 to ≤10, n=70; mild: &gt;10 to ≤100, n=130; moderate: &gt;100 to ≤400, n=118; and severe: &gt;400, n=49). …”
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Trends in tuberculosis mortality among older adults in China, 2004–2021: a Joinpoint regression and age–period–cohort analysis by Mengdi Zhang, Xin Wang, Yiran Xiao, Qiqi Wang, Fei Huang, Xiang Ren, Xiaomin Guo, Wenshan Sun, Jinqi Deng, Qi Jiang, Jianjun Liu, Wenjing Zheng, Hongyan Yao

“…Variations in age, period, and cohort effects highlight differences by gender, urban and rural areas, and regions, providing insights for targeted intervention strategies.…”
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Relationship between obesity indicators and hypertension–diabetes comorbidity among adults: a population study from Central China by Li Li, Ling Li, Ying Wang, Wenwen Wu, Xiaodong Tan, Fen Yang, Jinru Yang, Yifan Wu, Donghan Sun, Ziling Ni, Yaofei Xie

“…Stratified analysis by gender showed that high BMI and WHtR were risk factors of HDC in males and females. …”
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Immunogenicity of the 9-valent human papillomavirus vaccine: Post hoc analysis from five phase 3 studies by Anna R. Giuliano, Joel M. Palefsky, Stephen E. Goldstone, Jacob Bornstein, Ilse De Coster, Ana María Guevara, Ole Mogensen, Andrea Schilling, Pierre Van Damme, Corinne Vandermeulen, Misoo C. Ellison, Susan Kaplan, Jianxin Lin, Rachael Bonawitz, Alain Luxembourg

“…Covariates considered were age, gender, sexual orientation, region of residence, and race. …”
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May Measurement Month 2020: An Analysis of Blood Pressure Screening Results From China by Xin Chen, Li‐Ping Zhang, Xiao‐Long Wang, Ning‐Ru Zhang, Jing Yu, Li‐Ying Xu, Tong‐She Li, Hong Luan, Juan Zhang, Ya‐Min Hu, Dan Liu, Qi‐Dong Zheng, Yan Li, Ji‐Guang Wang

“…After adjustment for age, gender, and use of antihypertensive medication, systolic/diastolic BP were significantly higher with cigarette smoking (n = 8070, +0.5/+1.0 mm Hg, p < 0.05), mild (n = 4369, +1.2/+1.3 mm Hg, p < 0.001) and moderate or heavy alcohol drinking (n = 3871, +0.4/+0.7 mm Hg, p < 0.05), and overweight (+1.8/+1.4 mm Hg, p < 0.001) and obesity (+2.3/+1.5 mm Hg, p < 0.001). …”
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