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6001“…Inconvenient times, lack of privacy, religion, culture, and parent prohibition were barriers to SRH service uptake cited by the school youths. …”
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6002“…A chi-square analysis shows a significant association between respondents’ knowledge of insect repellent plants and age, educational status, occupation, religion, and marital status although not with gender. …”
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6003“…Predictors of high blood pressure were age (adjusted odds ratio [aOR] = 1.10, CI 95%: [1.05–1.14]) and gender (aOR = 0.5, CI 95%: [0.8–0.9]) and predictors of body mass index were gender (aOR = 2.3, CI 95%: [1.3–4.2]) and religion (aOR = 0.3, CI 95%: [0.2–0.7]). Gender and age had statistically significant association with waist-hip ratio and random blood sugar respectively. …”
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6004por Okigbo, Chinelo C., Speizer, Ilene S., Domino, Marisa E., Curtis, Sian L., Halpern, Carolyn T., Fotso, Jean C.“…Multilevel multinomial logistic regression models estimated the associations between the exposure variables at the individual and neighborhood levels and modern contraceptive use controlling for the women’s age, education, marital status, religion, parity, household wealth, and city of residence. …”
Publicado 2018
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6005por Addo, Juliet, Cook, Sarah, Galbete, Cecilia, Agyemang, Charles, Klipstein-Grobusch, Kerstin, Nicolaou, Mary, Danquah, Ina, Schulze, Matthias B., Brathwaite, Rachel, Mockenhaupt, Frank P., Beune, Erik, Meeks, Karlijn, de-Graft Aikins, Ama, Bahendaka, Silver, Owusu-Dabo, Ellis, Smeeth, Liam“…After adjustment for age and education in both men and women in Europe, those attending religious services less frequently reported higher levels of drinking alcohol than non-attendants (never attend/no religion compared to attending service at least once a week men OR 4.60 95% CI 2.85, 7.44; women OR 1.80 95% CI 1.12, 2.90) p-trend with frequency <0.001 in men; 0.002 in women); this association was seen also in men in rural Ghana (p-trend = 0.001) and women in urban Ghana (p-trend = 0.02). …”
Publicado 2018
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6006“…The role of culture, religion and spirituality in patients’ understanding of and coping with mental problems was explored, as well as their attitudes toward their treatment and the perceived effectiveness and appropriateness of the different treatment modalities. …”
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6007“…Apart from these, non-Hindu religion, nuclear type of family, parent's education profile of middle school and above, and engagement in physical activities more than 2 h a day were other factors found to be directly associated with increased chances of overweight/obesity (OR > 1; P < 0.05). …”
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6008“…The explanatory variables were age-group, socioeconomic level, marital status, ethnicity, religion, education, employment, and parity. Frequencies and means were used to summarize categorical and continuous variables, respectively. …”
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6009“…Myths, folklore and misconceptions in culture, tradition and religion about disability were found to be deeply rooted and often cited as the basis for individual beliefs and attitudes. …”
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6010por Tesfamariam, Sirak, Anand, Indermeet Singh, Kaleab, Ghide, Berhane, Samson, Woldai, Biruck, Habte, Eyasu, Russom, Mulugeta“…Educational level (p < 0.0001), religion (p = 0.047), occupation (p = 0.027) and knowledge regarding OTC drugs (p = 0.019) were significantly associated with risky practice. …”
Publicado 2019
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6011por Guure, Chris, Maya, Ernest Tei, Dery, Samuel, da-Costa Vrom, Baaba, Alotaibi, Refah M., Rezk, Hoda Ragab, Yawson, Alfred“…Infrequent sexual intercourse, opposition from partners, socio-economic (wealth index, respondents educational level, respondents and partner’s occupation) and cultural (religion and ethnicity) were all significant determinants of both unmet need for limiting and spacing. …”
Publicado 2019
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6012por Kaneetah, Ahmed H, Baowaidan, Feras O, Abulaban, Bahaa A, Sabban, Mahmoud F, Alshehri, Ahmad S“…Conclusion The majority of participants had a lack of knowledge about the DNR practice. Their religion’s concept of hope and virtue is considered as the major reason for their DNR order refusal. …”
Publicado 2019
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6013por Montero-Marin, Jesus, Perez-Yus, Maria C., Cebolla, Ausias, Soler, Joaquim, Demarzo, Marcelo, Garcia-Campayo, Javier“…However, research into other forms of institutional religiosity integrating social aspects of religion is required.…”
Publicado 2019
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6014por Gebregziabher, Nahom Kiros, Zeray, Almaz Yemane, Abtew, Yordanos Tewelde, Kinfe, Tsinat Debesay, Abrha, Dawit Teweldemedhin“…Bivariate and multivariate logistic regressions were used to determine the magnitude of the relationship between place of delivery and the explanatory variables (Religion, Ethnicity, Mother’s educational level, Husband’s Educational level, Place of delivery preceding last pregnancy, Birth order of last child, Any complications during previous delivery, First ANC Visit during last pregnancy, Number of ANC visits during last pregnancy and Any complication during last pregnancy.). …”
Publicado 2019
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6015“…The results of the adjusted model indicate that place of residence, financial status, education, religion, parity and perceived need were significantly associated with health facility delivery. …”
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6016por Babalola, Stella, Loehr, Caitlin, Oyenubi, Olamide, Akiode, Akinsewa, Mobley, Allison“…RESULTS: The intervention and control arms were equivalent in terms of key sociodemographic characteristics, with the exception of religion. Attrition was a major challenge in the study. …”
Publicado 2019
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6017por Adewuyi, Emmanuel O, Khanal, Vishnu, Zhao, Yun, David, Lungcit, Bamidele, Olasunkanmi David, Auta, Asa“…Lastly, six predisposing factors—lack of maternal and husband’s education, poor wealth index, Islamic religion, high parity and low frequency of listening to radio—were associated with increased odds of home delivery. …”
Publicado 2019
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6018por Memiah, Peter, Bond, Tristi, Opanga, Yvonne, Kingori, Caroline, Cook, Courtney, Mwangi, Michelle, Gitahi-Kamau, Nyawira, Mubangizi, Deus, Owuor, Kevin“…Socioeconomic indicators including area of residence, wealth index, age of mother/husband, religion, level of education, employment status, and mass media usage were also significantly associated with IPV. …”
Publicado 2020
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6019“…The socio-economic variables studied were age, marital status, residence, province, religion, education, household wealth index, household size, access to mass media and the use of contraception. …”
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6020“…CONCLUSION: Age, wealth status, level of education, frequency of listening to radio, frequency of reading newspaper/magazine, frequency of watching television, ethnicity, and religion were found to be significantly associated with Ghanaian men and women’s approval of wife-beating. …”
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