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6261por Amongin, Dinah, Benova, Lenka, Nakimuli, Annettee, Nakafeero, Mary, Kaharuza, Frank, Atuyambe, Lynn, Hanson, Claudia“…Additional determinants for rural women were residence in Eastern region, Muslim religion, and poor household wealth index. CONCLUSION: In the 30-year period examined, adolescent childbirth in Uganda declined from highs of 7 in 10 to approximately 5 in 10 women, with more wanting to delay the pregnancy. …”
Publicado 2020
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6262por Karim, Farhana, Ali, Nazia Binte, Khan, Abdullah Nurus Salam, Hassan, Aniqa, Hasan, Mohammad Mehedi, Hoque, Dewan Md. Emdadul, Billah, Sk. Masum, El Arifeen, Shams, Chowdhury, Mohiuddin Ahsanul Kabir“…For the analysis of determinants of C- section, the explanatory variables were maternal age, educational status of women and their husbands, women’s religion, employment status and access to mobile phone, wealth index of the household, distance to the nearest health facility from the household, the number of ANC visits and presence of complications during pregnancy and the last childbirth. …”
Publicado 2020
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6263por Addae, Evelyn Aboagye“…The odd of young adolescents to attain high FSB than older adolescents were about 66% higher (OR = 1.662; 95%CI: 1.168–2.367). Religion, educational level, ethnicity, family structure, and marital status were also significant predictors of adolescents’ family sense of belonging, family autonomy support and, family control. …”
Publicado 2020
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6264por Unger-Saldaña, Karla, Saldaña-Tellez, Minerva, Potter, Michael B., Van Loon, Katherine, Allen-Leigh, Betania, Lajous, Martin“…The main barriers in each of the SEM levels were as follows: (1) at the social context level: poverty, health literacy and lay beliefs related to gender, cancer, allopathic medicine, and religion; (2) at the health services organization level: a lack of CRC knowledge among health care personnel and the community perception of poor quality of health care; and (3) at the individual level: a lack of CRC awareness and therefore lack of risk perception, together with fear of participating in screening activities and finding out about a serious disease. …”
Publicado 2020
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6265por Enyew, Mihretu Molla“…Sex (Being male (AOR = 4.89, 95%CI: 3.02, 7.89)), religion (being orthodox than protestant (AOR = 10.41, 95%CI: 3.02, 21.57)), being Muslim than protestant (AOR = 5.73, 95%CI: 1.37, 15.92)) and having once or less a week religious attendance (AOR = 2.00, 95% CI: 1.20, 3.34) were factors associated with willingness towards performing induced abortion. …”
Publicado 2020
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6266por Ranasinghe, Priyanga, Senadeera, Vidarsha, Gamage, Nishadi, Weerarathna, Miyuru Ferrari, Ponnamperuma, Gominda“…CONCLUSION: EI in this group significantly improved over 5-years of follow-up and was independent of gender, religion, ethnicity, socio-economic parameters and academic performance. …”
Publicado 2020
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6267“…In univariate log-linear statistical models fitted in phase 1 of the analysis, significant associations were observed between the prevalence of combined protozoan infections and personal and familial factors that included religion, the level of education of subjects, both parents’ educational levels and their jobs, and the number of siblings. …”
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6268“…At individual level, older maternal age, higher number of living children, maternal circumcision, perceived beliefs as FGM/C are required by religion, and supporting the continuation of FGM/C practice were factors to increase the odds of FGM/C, whereas, secondary or higher maternal education, better household wealth, and regular media exposure were factors decreasing the odds of FGM/C. …”
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6269por Guiahi, Maryam, Wilson, Carrie, Claymore, Emily, Simonson, Kristin, Steinauer, Jody“…Twelve (29%) reported Catholic religion, six (15%) reported their personal reproductive care views were in line with their institution, and five (12%) selected their program based on its religious affiliation. …”
Publicado 2021
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6270por Mapingure, Munyaradzi, Mukandavire, Zindoga, Chingombe, Innocent, Cuadros, Diego, Mutenherwa, Farirai, Mugurungi, Owen, Musuka, Godfrey“…BACKGROUND: The influence of religion and belief systems is widely recognized as an important factor in understanding of health risk perception and myths in the general fight against the HIV pandemic. …”
Publicado 2021
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6271por Salama, Maki Sifa, Isunju, Jonh Bosco, David, Salama Kaishusha, Muneza, Fiston, Ssemanda, Sylvester, Tumwesigye, Nazarius Mbona“…Sensitization messages regarding alcohol consumption among persons with diabetes should be target patients who have never been married and those who have spent more than 5 years with diabetes; religion should also be considered as an important venue for health education in the community.…”
Publicado 2021
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6272por Vapiwala, Neha, Miller, David, Laventure, Brenda, Woodhouse, Kristina, Kelly, Sheila, Avelis, Jade, Baffic, Cordelia, Goldston, Rodney, Glanz, Karen“…In the Black female group, the role of faith and religion in the course of disease was a major theme. …”
Publicado 2021
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6273por Belsti, Yitayeh, Gela, Yibeltal Yismaw, Akalu, Yonas, Dagnew, Baye, Getnet, Mihret, Abdu Seid, Mohammed, Diress, Mengistie, Yeshaw, Yigizie, Fekadu, Sofonias Addis“…Being female, older age, marital status, residence, occupations, not having a health-related job, religion, educational status were statistically significantly associated with willingness to receive the COVID-19 vaccine.…”
Publicado 2021
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6274por Braam, Dorien H., Srinivasan, Sharath, Church, Luke, Sheikh, Zakaria, Jephcott, Freya L., Bukachi, Salome“…Some of those who were heavily affected economically but did not directly experienced disease, denied the pandemic. Religion played an important role in participants’ beliefs in protection against and salvation from the disease. …”
Publicado 2021
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6275por Chiril, Patricia, Pamungkas, Endang Wahyu, Benamara, Farah, Moriceau, Véronique, Patti, Viviana“…Hate speech is topically focused (misogyny, sexism, racism, xenophobia, homophobia, etc.), and each specific manifestation of hate speech targets different vulnerable groups based on characteristics such as gender (misogyny, sexism), ethnicity, race, religion (xenophobia, racism, Islamophobia), sexual orientation (homophobia), and so on. …”
Publicado 2021
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6276“…The significant determinants of time to first birth are place of residence (being rural (AHR = 1.49, 95% CI 1.13, 1.97),Religion (being Muslim [AHR = 1.57, 95% CI 1.22, 2.02),being protestant (AHR = 1.73, 95% CI 1.34, 2.24)], age at first sex [first sex < 15 years (AHR = 1.68, 95% CI 1.23, 2.29)] and first sex between 15 and 17 years (AHR = 1.54, 95% CI 1.29, 1.85), age at first marriage (marriage < 15 years (AHR = 6.52, 95% CI 4.91, 8.64), marriage between 15 and 17 (AHR = 2.63, 95% CI 2.20, 3.14), unmet need for family planning (AHR = 1.23, 95% CI 1.00, 1.52) CONCLUSION: In this study, the median age at first birth was 18 years. …”
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6277por Hossain, Md. Moyazzem, Sobhan, Md. Abdus, Rahman, Azizur, Flora, Sanzida Sharmin, Irin, Zahida Sultana“…CONCLUSIONS: The findings reveal that to enhance and make sustainable the overall country’s vaccination coverage, we should pay more attention to the mother’s education, socioeconomic condition, children’s age, birth order number, having media exposure, place of residence, and religion. The authors think that this finding would be helpful to accelerate the achievement target of Sustainable Development Goals (SDGs) for children’s health in Bangladesh. …”
Publicado 2021
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6278por Cheah, Whye Lian, Law, Leh Shii, Teh, Keng Hoong, Kam, Su Ling, Voon, Grace Ern Hui, Lim, Han Yong, Shashi Kumar, Nuhes Seelan“…When comparing between religions, the results also showed there were significant differences between different religion groups in overall QoL (Islam = 3.75 ± 0.93, Christianity = 3.77 ± 0.79, Others = 3.34 ± 1.14, P < .05), physical health (Islam = 65.00 ± 13.86, Buddhism = 68.40 ± 11.99, Christianity = 64.77 ± 14.94, Others = 61.00 ± 16.03, P < .05), and environmental health (Islam = 69.66 ± 15.48, Buddhism = 64.99 ± 11.36, Christianity = 64.87 ± 15.61, Others = 62.13 ± 16.28, P < .05). …”
Publicado 2021
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6279por Mohanty, Sanjay K., Pedgaonkar, Sarang P., Upadhyay, Ashish Kumar, Kämpfen, Fabrice, Shekhar, Prashant, Mishra, Radhe Shyam, Maurer, Jürgen, O’Donnell, Owen“…We estimated age–sex adjusted hypertension prevalence and rates of ATC by consumption quintile, education, age, sex, urban–rural, caste, religion, marital status, living arrangement, employment status, health insurance, and state. …”
Publicado 2021
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6280por Chhibber, Anindit, Kharat, Aditi, Kneale, Dylan, Welch, Vivian, Bangpan, Mukdarut, Chaiyakunapruk, Nathorn“…To assess the extent of incorporation of equity in the policy documents, a guidance framework known as ‘PROGRESS-Plus’: Place of residence, Race/ethnicity, Occupation, Gender/sex, Religion, Education, Socioeconomic status, Social capital, Plus (age, disability etc.) was utilized. …”
Publicado 2021
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