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5801“…It is assumed that knowledge, social interaction, health behaviors and religion are factors that can influence screening and vaccination practices. …”
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5802por Yadee, Jirawit, Bangpan, Mukdarut, Thavorn, Kednapa, Welch, Vivian, Tugwell, Peter, Chaiyakunapruk, Nathorn“…Primary studies included in the identified reviews were then evaluated as to whether they met the following criteria: experimental studies which include equity aspects as part of their outcome measurement, based on equity attributes defined by PROGRESS-Plus factors (place of residence, race/ethnicity, occupation, gender, religion, education, socio-economic status, social capital, and others). …”
Publicado 2019
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5803“…RESULTS: Muslim women associated most aspects of the maternity journey with their religious beliefs. Religion was not the primary reason for them becoming pregnant, yet it was an aspiration for them becoming mothers. …”
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5804por Naser, Abu Mohd, Rahman, Mahbubur, Unicomb, Leanne, Doza, Solaiman, Gazi, Mohammed Shahid, Alam, Gazi Raisul, Karim, Mohammed Rabiul, Uddin, Mohammad Nasir, Khan, Golam Kibria, Ahmed, Kazi Matin, Shamsudduha, Mohammad, Anand, Shuchi, Narayan, K. M. Venkat, Chang, Howard H., Luby, Stephen P., Gribble, Matthew O., Clasen, Thomas F.“…Models were adjusted for age, sex, body mass index (BMI), physical activity, smoking, household wealth, alcohol consumption, sleep hours, religion, and salt consumption. We evaluated the 24‐hour urinary minerals across salinity categories, and the associations between urinary minerals and BP using multilevel linear models. …”
Publicado 2019
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5805por Daeem, Raida, Mansbach-Kleinfeld, Ivonne, Farbstein, Ilana, Apter, Alan, Elias, Rasha, Ifrah, Anneke, Chodick, Gabriel, Fennig, Silvana“…Differences by ethnicity/religion were found. CONCLUSIONS: Structural barriers related to lack of access, were considered the main obstacle to help-seeking in this Israeli Arab minority population. …”
Publicado 2019
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5806“…RESULTS: Except for the variables “religion” and “region”, the rest of the independent variables show significance on the use of iLAPMs, at varying levels. …”
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5807“…We included studies examining the effects of CHW interventions in low-income and middle-income countries on maternal and newborn health outcomes across socioeconomic groups (wealth, occupation, education, class, caste or tribe and religion). We then conducted a narrative synthesis of evidence. …”
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5808por Oppong, Felix Boakye, Gyaase, Stephaney, Zandoh, Charles, Nettey, Obed Ernest A, Amenga-Etego, Seeba, Anane, Edward Apraku, Adda, Robert, Dosoo, David Kwame, Owusu-Agyei, Seth, Asante, Kwaku Poku“…In the adjusted analysis, age, household size, education, religion, number of antenatal care visits, ethnicity, marital status, wealth index and place of residence were significantly associated with the uptake of three or more doses of IPTp-SP. …”
Publicado 2019
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5809“…CONCLUSION: Even though currently coverage of family planning use has increased, this study showed that short birth interval is still a concern for Ethiopian women due to factors such as: religion, suboptimum breastfeeding, unwanted pregnancy and non-use of contraceptives. …”
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5810“…The predictor variables were socio-demographic characteristics such as age group, caste, religion, marital status, and education status; reproductive characteristics such as outcome of pregnancy, condom use, IUCD usage, and vaginal discharge. …”
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5811“…In adjusted logistic regression analysis, having Grade 6 to 12 education (Odds Ratio-OR: 1.71, Confidence Interval-CI: 1.04, 2.82), rural residence (OR: 0.76, CI: 0.60, 0.97), other religion (OR: 0.57, CI: 0.35, 0.97), anxiety (OR: 1.64, CI: 1.25, 2.16), low quality of life (OR: 0.42, CI: 0.31, 0.56) and having multiple chronic conditions (OR: 1.82, CI: 1.30, 2.56) were associated with past 12-month herbal medicine use. …”
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5812por N’Gbichi, Coralie, Ziraba, Abdhalah Kasiira, Wambui, David Wainaina, Bakibinga, Pauline, Kisiangani, Isaac, Njoroge, Pauline, Noor, Rumana, Njoroge, Ngugi, Salah, Raha Abdi, Mohamed, Elmi“…In this region, culture and religion play a major role in influencing healthcare seeking behaviour of the community. …”
Publicado 2019
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5813por Awuni, Baba, Tarkang, Elvis, Manu, Emmanuel, Amu, Hubert, Ayanore, Martin Amogre, Aku, Fortress Yayra, Ziema, Sorengmen Amos, Bosoka, Samuel Adolf, Adjuik, Martin, Kweku, Margaret“…District of residence (χ(2) = 57.61, p < 0.001), Educational level (χ(2) = 15.37, p = 0.004), occupation (χ(2) = 11.66, p = 0.009), religion (χ(2) = 8.25, p = 0.016) and knowledge on rabies (χ(2) = 42.13, p < 0.001) were also statistically associated with dog vaccination against rabies. …”
Publicado 2019
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5814por Budu, Hayford Isaac, Abalo, Emmanuel Mawuli, Bam, Victoria Bubunyo, Agyemang, Deus Osei, Noi, Shirley, Budu, Florence A., Peprah, Prince“…The finding disproves assertions on the negative effect of religion on male nurses. It is recommended that public awareness be created on the role of male nurses in the healthcare delivery system to promote acceptance of gender diversity in the nursing profession.…”
Publicado 2019
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5815“…The household level variable includes place of residence, religion, caste, wealth index, access to toilet, type of toilet, availability of water within toilet premises, and facility of hand wash near the toilet. …”
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5816por Butt, Mohsin Faysal, Salmon, Louise, Mulamehic, Fahira, Hixon, Avelyn, Moodambail, Abdul Rehman, Gupta, Sandy“…Data collected include gender, language spoken, country of initial medical qualification, immigration status, religion, ethnicity and professional work experience. …”
Publicado 2019
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5817por Tetteh, John, Kogi, Robert, Yawson, Anita Ohenewa, Mensah, George, Biritwum, Richard, Yawson, Alfred Edwin“…Some determinants of poor SRH include; age, geographical location (urban vs. rural), marital status, religion, and employment status. This provides pointers to important socio-demographic determinants with implications on the social function of older adults in line with the theme of the national aging policy of 2010, ‘ageing with security and dignity’ and ultimately in the national quest to achieve the Sustainable Development Goals by 2030.…”
Publicado 2019
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5818“…BACKGROUND: Stigma against mental illness cuts across all age, religion, ethnic origin or socio-economic status. Similarly, self-stigma among psychiatric patients is also prevalent worldwide. …”
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5819“…Socio-demographic factors investigated included personal (e.g. gender, age, ethnicity, religion, birth order, and participation in exercise), family (e.g. type of family, parents’ relationship status, employment and literacy) and community factors (e.g. living in an urban area). …”
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5820“…TM users tended to be older, claim that religion was more important to them, have poorer economy and health, and have lower education compared to CM users. …”
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