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361por Prokopidis, Konstantinos, Giannos, Panagiotis, Ispoglou, Theocharis, Kirk, Ben, Witard, Oliver C., Dionyssiotis, Yannis, Scott, David, Macpherson, Helen, Duque, Gustavo, Isanejad, Masoud“…Sex-stratified multiple linear regression analyses were performed upon covariate adjustment for age, ethnicity, socio-economic status, education, medical history, body mass index, physical activity, energy, protein, and alcohol intake. …”
Publicado 2022
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362“…We used age, gender, economic income, educational level, residence, and marital status for the demographic variables and, drinking, smoking, exercise, BMI, and metabolic syndrome for health behaviors. …”
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363“…In the age group of 40 years or older, females were more concerned than males, especially regarding the economic and education topics. In addition, males 40 years or older and 18 years or younger were the least positive. …”
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364por De Silva, Ambepitiyawaduge Pubudu, De Silva, Sudirikku Hennadige Padmal, Haniffa, Rashan, Liyanage, Isurujith Kongala, Jayasinghe, Saroj, Katulanda, Prasad, Wijeratne, Chandrika Neelakanthi, Wijeratne, Sumedha, Rajapaksa, Lalini Chandika“…RESULTS: The prevalence of DM and its risk factors (at individual or household level) showed no consistent relationship with the three measures of inequality (SII, RII and CI) of the different indices of socio economic status (education, occupation, household income, social status index or area unsatisfactory basic needs index). …”
Publicado 2018
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365por Wang, Meng, Mou, Xingyue, Li, Tingting, Zhang, Yi, Xie, Yang, Tao, Shuman, Wan, Yuhui, Tao, Fangbiao, Wu, Xiaoyan“…Potential confounders included gender, presence of siblings, regional economic level, educational status, self-rated health, parental education level, self-reported family income, number of friends, learning burden, and family history of psychosis. …”
Publicado 2023
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