Parents' perception of the promotion of physical activity as part of the Purzelbaum project in Swiss daycare centers by Bianca Celine Schmidli, Claudio R. Nigg

“…Methods Between February and April 2024, parents from daycare centers in various Swiss cantons were invited to complete an online questionnaire about PA in daycare centers. In addition to demographic data, five questions assessed the perception of PA. …”
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Epidemiology and Treatment Patterns of Fistulizing Crohn’s Disease in a Large, Real-World Australasian Cohort by Jack McNamara, William Wilson, Joseph L. Pipicella, Simon Ghaly, Jakob Begun, Ian C. Lawrance, Richard Gearry, Jane M. Andrews, Susan J. Connor

“…This study explores demographic, disease and treatment factors in a real-world Australasian cohort. …”
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High prevalence of fecal carriage of extended-spectrum beta-lactamase producing Enterobacterales among patients with urinary tract infections in rural Tanzania by Magreth Erick Macha, Magreth Erick Macha, Magreth Erick Macha, Weihong Qi, Salome N. Seiffert, Anja Bösch, Philipp Kohler, Honorathy Msami Urassa, Sabine Haller, Erin West, Maja Weisser Rohacek, Maja Weisser Rohacek, Maja Weisser Rohacek, Baharak Babouee Flury, Baharak Babouee Flury, Baharak Babouee Flury, Baharak Babouee Flury

“…Francis Regional Referral Hospital, Ifakara, Tanzania, from October 2021 to August 2023, involving 326 UTI patients. Demographic data and resistance risk factors were collected via structured questionnaires. …”
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The Chinese version of the immediate mood scaler (IMS): a study evaluating its validity, reliability, and responsiveness in patients with MDD in China by Xiongying Chen, Zizhao Feng, Nanxi Li, Le Xiao, Xu Chen, Xuequan Zhu

“…At baseline, data from 368 patients with MDD, including demographic information and scores on the Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and IMS, were collected. …”
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Global assessment of leukemia care quality: insights from the quality of care index (QCI) from 1990 to 2021Research in context by Yuzhe Pan, Qian Liu, Nan Zhang, Shuang Peng, Xinqi Li, Fuling Zhou

“…We compared the original QCI with our modified version, analyzed QCI trends across different age groups and leukemia subtypes, identified key influencing factors using linear mixed models (LMM), and used spatial autocorrelation analysis to verify the autocorrelation of the socio-demographic index (SDI) region. Then we employed the bayesian age-period-cohort (BAPC) model to predict future QCI trends. …”
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Prevalence of cataracts in Iran based on the Persian eye cohort study by Fateme Alipour, Parisa Abdi, Hassan Asadigandomani, Mehran Rezakhani, Fatemeh Moosaie, Fateme Jafari, Mehdi Yaseri, Nazgol Motamed-Gorji, Fahimeh Khalili, Roya Tavakoli, Abolfazl Tahkor, Masoome Mohseni, Samira Salimpour, Seyed Mohammad Javad Mousavi Aref, Mohammad Mirzaei, Mohammadreza Soleimani, Kourosh Shahraki, Yousef Alizade, Mohammad Reza Shoja, Gholam Reza Khataminia, Mahmoud Jabbarvand Behrouz, Hassan Hashemi

“…In this study, from January 2015 to September 2021, 16,016 participants over 35 years of age from four provinces who were selected by random cluster sampling were examined. Demographic information, education, socioeconomic status, and place of residence were collected through interviews. …”
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Barriers to healthcare access among female youths in Mozambique: a mixed-effects and spatial analysis using DHS 2022/23 data by Habtu Kifle Negash, Hiwot Tezera Endale, Hailu Aragie, Winta Tesfaye, Mihret Getnet, Tseganesh Asefa, Yibeltal Yismaw Gela, Alebachew Ferede Zegeye

“…Methods Data from the Mozambique Demographic and Health Survey (DHS) 2022/23 on maternal and child health was analyzed. …”
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Machine learning derivation of two cardiac arrest subphenotypes with distinct responses to treatment by Weidong Zhang, Chenxi Wu, Peifeng Ni, Sheng Zhang, Hongwei Zhang, Ying Zhu, Wei Hu, Mengyuan Diao

“…A total of 57 clinical parameters relevant to CA patients were selected for analysis. These included demographic data, vital signs, and laboratory parameters. …”
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Prevalence of psychoactive substance use among acutely hospitalised patients in Oslo and Moscow: a cross-sectional, observational study by Stig Tore Bogstrand, Thomas Berg, Anners Lerdal, Danil Gamboa, Benedicte Jørgenrud, Evgeny A Bryun, Vigdis Vindenes, Evgenya A Koshkina, Aleksei V Nadezhdin, Saranda Kabashi, Elena J Tetenova, Anna Armika Tussilago Nyman, Alexey J Kolgashkin, Aleksei E Petukhov, Sergey N Perekhodov, Elena N Davydova, Gudmund Nordby

“…Secondary outcomes comprised demographic data (including age, gender, employment and marital status), degree of psychological distress, concurrent alcohol use, and self-reported alcohol, psychoactive drug and illicit substance use.Results 32.3% in Oslo and 12% in Moscow were positive for one or more psychoactive medicinal drugs (benzodiazepines, z-hypnotics, opioids or barbiturates). …”
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Whole-genome resequencing landscape of adaptive evolution in Relict gull (Larus relictus) by Chao Yang, Qingxiong Wang, Kuo Sun, Lei Luo, Hao Yuan, Xuejuan Li, Yuan Huang, Hong Xiao

“…Population genetic diversity analysis revealed that low nucleotide diversity (0.00029) and no obvious population structure in L. relictus. Demographic history revealed that from 180 to 5 kya (thousand years ago), the effective population size (Ne) of L. relictus exhibited declines (24,000 to 5,000), with a very low range population size (2,200 to 5,000). …”
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Trends and factors associated with adverse pregnancy outcomes in Zimbabwe, 2005 - 2015 by T Chibura, H Twabi, K Maluleke, A Musekiwa

“…This article is a secondary data analysis of three repeated cross-sectional Zimbabwe Demographic and Health Surveys to assess adverse pregnancy outcomes among women of reproductive age (15 - 49 years old) who fell pregnant during the study period. …”
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Knowledge, Attitude, and Barriers Influencing Seasonal Influenza Vaccination Uptake by Mazin A. Barry, Khalid I. Aljammaz, Abdulaziz A. Alrashed

“…The questionnaire included demographic data including age, gender, occupation, education level, marital status, and comorbidities. …”
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Construction of a diagnostic model for chronic mountain sickness among young male migrants to high-altitude areas by ZHANG Quan, CHEN Jian, LIU Bao

“…Methods‍　‍From June 10 to December 29， 2023， a cross-sectional study was conducted on young male migrants subjected with convenience sampling who had been living in high-altitude areas （4 500~5 000 m） for 6 months or longer. Their demographic data were collected and blood samples were collected for laboratory test. …”
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Feasibility and Acceptability of Antenatal Hepatitis C Screening: A Pilot Study by Joseph Valamparampil, Jaswant Sira, Maxine Brown, Saket Singhal, Deirdre Kelly

“…Data collected included demographic and epidemiological details. Pregnant women attending the antenatal unit were given information regarding HCV and antenatal screening for HCV prior to their initial antenatal visit. …”
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Pathways to motherhood: A single-center retrospective study on fertility preservation and reproductive outcomes in patients with breast cancer by Chao-Ying Chen, Yu-Chiao Yi, Hwa-Fen Guu, Ya-Fang Chen, Hsiao-Fan Kung, Jui-Chun Chang, Li-Yu Chen, Chih-Chiang Hung, Ming-Jer Chen

“…This review encompassed the demographic characteristics of the patients, cancer stages, treatment details, and types of fertility preservation procedures and their outcomes. …”
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Evaluation of variation in special educational needs provision and its impact on health and education using administrative records for England: umbrella protocol for a mixed-method... by Stuart Logan, Ruth Gilbert, Tamsin Ford, Johnny Downs, Jugnoo Rahi, Ania Zylbersztejn, Katie Harron, Kate Boddy, Bianca De Stavola, Vincent Nguyen, Isaac Winterburn, Kate Lewis, Lucy Karwatowska, Lorraine Dearden, Sarah Barnes, Jacob Matthews, Matthew Lilliman, Jennifer Saxton, Antony Stone, Kristine Black-Hawkins

“…The proportion of children with SEN provision varies between schools and demographic groups, which may reflect variation in need, inequitable provision and/or systemic factors. …”
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Predictive Factors and the Predictive Scoring System for Falls in Acute Care Inpatients: Retrospective Cohort Study by Chihiro Saito, Eiji Nakatani, Hatoko Sasaki, Naoko E Katsuki, Masaki Tago, Kiyoshi Harada

“…MethodsThis single-center, retrospective cohort study involved patients aged 20 years or older admitted to Shizuoka General Hospital between April 2019 and September 2020. Demographic data, candidate predictors at admission, and fall occurrence reports were collected from medical records. …”
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Contact patterns between index patients and their close contacts and assessing risk for COVID-19 transmission during different exposure time windows: a large retrospective observat... by Weibing Wang, Genming Zhao, Hao Pan, Bo Zheng, Chenyan Jiang, Yaxu Zheng, Huanyu Wu, Shenghua Mao, Ye Yao, Xiaohuan Gong, Sheng Lin, Bihong Jin, Dechuan Kong

“…A generalised additive mixed model was used to analyse the associations of the number of close contacts with different demographic and clinical characteristics. The effect of different exposure time windows on the infection of close contacts was evaluated using a modified mixed-effects Poisson regression.Results Analysis of contacts indicated that 82 467 (18.29%; 95% CI 18.17%, 18.42%) were second-generation cases. …”
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Identifying psychosocial predictors and developing a risk score for preterm birth among Kenyan pregnant women by Anna Larsen, Jillian Pintye, Felix Abuna, Julia C. Dettinger, Laurén Gomez, Mary M. Marwa, Nancy Ngumbau, Ben Odhiambo, Barbra A. Richardson, Salphine Watoyi, Joshua Stern, John Kinuthia, Grace John-Stewart

“…We identified and combined demographic, clinical, and psychosocial correlates of PTB among Kenyan women to develop a risk score. …”
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Metabolic syndrome in type 1 diabetes: higher time above range and glycemic variability revealed by continuous glucose monitoring (CGM) by Yayu Fang, Wei Liu, Xiaoling Cai, Yu Zhu, Mingxia Zhang, Siqian Gong, Xiangqing Wang, Chu Lin, Rui Zhang, Sai Yin, Juan Li, Yongran Huo, Xiaodan Hu, Xiaoqi Xie, Linong Ji

“…The diagnosis of metabolic syndrome was developed based on the updated National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATPIII) criteria. Demographic data, anthropometric measurements, clinical information and continuous glucose monitoring (CGM) data were collected and compared between participants with metabolic syndrome and those without. …”
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