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121por Chastang, Julie, Baïz, Nour, Cadwalladder, Jean Sébastien, Robert, Sarah, Dywer, John, Charpin, Denis André, Caillaud, Denis, de Blay, Frédéric, Raherison, Chantal, Lavaud, François, Annesi-Maesano, Isabella“…Effect estimates were adjusted for gender, study center, ethnic origin, child age, low parental education, current physician diagnosed asthma, siblings, preterm birth and single parenthood. …”
Publicado 2015
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122“…The intervention incorporated empirical findings from a longitudinal study, Aging with Pride: National Health, Aging, and Sexuality/Gender Study (NHAS) and developed innovative and culturally responsive approaches. …”
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123“…Addressing this issue, our study examines the association between partner loss and psychological well-being using data from the 2010 Aging with Pride: National Health, Aging, and Sexuality/Gender Study (NHAS) (n=2,322), the largest nationally representative sample of LGBT middle-aged and older adults. …”
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124por Yue, Li, Wang, Jianing, Enomoto, Hiroyuki, Fujikoshi, Shinji, Alev, Levent, Cheng, Yan Yolanda, Skljarevski, Vladimir“…Ratings for percentage change from baseline to endpoint for BPI average pain scores in Asian patients and Caucasian patients were similar across the 7 PGI‐I categories, regardless of age, gender, study, and treatment. The ROC analysis results of cut‐off points in BPI average pain scores demonstrated the raw change cut‐off was −3.0, and percentage change cut‐off was −40% for both Asian and Caucasian patients. …”
Publicado 2019
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125“…Record was made of patient age, gender, study indication, study priority (stat/routine), and use of IV and/or oral contrast. …”
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126“…The analysis of variance showed that three out of the nine variables were not significant to the model: gender, study level, and study material. In addition, to understand the behavioral intention for the students during such pandemic, the online survey questionnaire captured students' voice on their willingness to wear masks, wash their hands, or both as well as their acceptance to take the vaccine once it is available. …”
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127por Cocco, Pierluigi, Satta, Giannina, Meloni, Federico, Pilia, Ilaria, Ahmed, Fahad, Becker, Nikolaus, Casabonne, Delphine, de Sanjosé, Silvia, Foretova, Lenka, Maynadié, Marc, Nieters, Alexandra, Staines, Anthony, Mannetje, Andrea ‘t, Zucca, Mariagrazia, Ennas, Maria Grazia, Campagna, Marcello, Matteis, Sara De, Benavente, Yolanda“…Risk was predicted with unconditional regression modeling, adjusted by age, gender, study center, and education. RESULTS: We observed a 2.1-fold increase in risk of follicular lymphoma associated with ever exposure to leather dust [95% confidence interval (CI) 1.01–4.20]. …”
Publicado 2021
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128por TABATABAIE, Mahtab, SOLTANI, Sepideh, MOZAFFARI-KHOSRAVI, Hassan, SALEHI-ABARGOUEI, Amin“…These findings did not change after considering several subgroups including gender, study duration, health status, body weight and the type of zinc used for supplementation. …”
Publicado 2021
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129por Li, Wenzhen, Yi, Guilin, Chen, Zhenlong, Dai, Xiayun, Wu, Jie, Peng, Ying, Ruan, Wenyu, Lu, Zuxun, Wang, Dongming“…And the analysis was also conducted stratifying by gender, study location, smoking, drinking, body mass index, physical activity, family history of T2DM, education and T2DM ascertainment. …”
Publicado 2021
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130“…Using data from Aging with Pride: National Health, Aging, and Sexuality/Gender Study (N=2,536), multivariate models tested how access to social resources varied by LGBT identity and whether the effect of LGBT identity showed additional variations by sociodemographic characteristics (i.e., age and education) among aging LGBT adults. …”
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131“…Using data from Aging with Pride: National Health, Aging, and Sexuality/Gender Study (N = 2,560), multiple logistic regression assessed the associations between minority stress (i.e., internalized stigma and LGBT identity disclosure) and healthcare utilization (i.e., health screenings, emergency room use, routine checkups, and regular provider). …”
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132“…OBJECTIVE: To show the links between physical activity, sedentarism and health indicators and to identify the socio-demographic variables by which they are influenced (particularly gender). STUDY DESIGN: This is a transversal epidemiological study conducted among the French population between 2014 and 2016 by Santé publique France, the national public health agency. …”
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133por Luo, Yifei, Zhang, Zeyu, Chen, Qishu, Zhang, Kairui, Wang, Yijiang, Peng, Jianfeng“…However, humble leadership does not explain incremental variance in some criterion variables, indicating that future studies should control for the influence of some positive leadership (e.g., transformational and servant leadership). Age, gender, study design, country, and year partially moderate the correlations of interest. …”
Publicado 2022
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134“…Large between-study heterogeneity was observed, and future studies have to clarify the effects of OA severity, laterality, age, gender, study design and movement execution on lower limb joint kinematics. …”
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135por Agarwal, Subhashish, Shlipak, Michael G., Kramer, Holly, Jain, Aditya, Herrington, David M.“…Cox proportional regression adjusting for age, ethnicity, gender, study site, education, income, smoking, alcohol use, physical activity, and total and LDL cholesterol was performed to assess the joint association of CKD and MetS with incident CVD events. …”
Publicado 2012
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136por HAFEEZ, Kamran, AHMED MEMON, Ayaz, JAWAID, Masood, USMAN, Sidra, USMAN, Sara, HAROON, Saroona“…Bivariate analysis was done to study the relationship between back pain and different variables; including gender, study program, smoking, computer use, depression and level of physical activity. …”
Publicado 2013
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137por Aslibekyan, Stella, Demerath, Ellen W., Mendelson, Michael, Zhi, Degui, Guan, Weihua, Liang, Liming, Sha, Jin, Pankow, James S., Liu, Chunyu, Irvin, Marguerite R., Fornage, Myriam, Hidalgo, Bertha, Lin, Li-An, Thibeault, Krista Stanton, Bressler, Jan, Tsai, Michael Y., Grove, Megan L., Hopkins, Paul N., Boerwinkle, Eric, Borecki, Ingrid B., Ordovas, Jose M., Levy, Daniel, Tiwari, Hemant K., Absher, Devin M., Arnett, Donna K.“…We modeled methylation at individual cytosine-phosphate-guanine (CpG) sites as a function of body mass index (BMI) and waist circumference (WC), adjusting for age, gender, study site, T-cell purity, smoking, and family structure. …”
Publicado 2015
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138por Oldham, Jessie R., DiFabio, Melissa S., Kaminski, Thomas W., DeWolf, Ryan M., Buckley, Thomas A.“…HYPOTHESIS: Tandem gait will be influenced by concussion history, sport, and gender. STUDY DESIGN: Cohort study. LEVEL OF EVIDENCE: Level 3. …”
Publicado 2016
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139por Nicoletto, Bruna Bellincanta, Pedrollo, Elis Forcellini, Carpes, Larissa Salomoni, Coloretti, Natália Gomes, Krolikowski, Thaiana Cirino, Souza, Gabriela Corrêa, Gonçalves, Luiz Felipe Santos, Manfro, Roberto Ceratti, Canani, Luis Henrique“…Progranulin was associated with waist circumference and fasting plasma glucose after adjusted for age, gender, study period, glomerular filtration rate, interleukin-6, high sensitivity C reactive protein and adiponectin. …”
Publicado 2018
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140por Telga, Maïka, de Lemus, Soledad, Cañadas, Elena, Rodríguez-Bailón, Rosa, Lupiáñez, Juan“…In a partial replication of the study reported by Cañadas et al. (2015), participants played an adaptation of the multi-round trust game paradigm and had to decide whether or not to cooperate with unknown partners. Gender (Study 1a) and ethnicity (Studies 1b, 2, and 3) served to create distinct social categories among the game partners, whose reciprocation rates were manipulated at group and individual levels. …”
Publicado 2018
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