“…Cultural practices, such as the use of traditional medicines and pica, and religion and its impact on health seeking behaviour were also viewed as risk factors. …”
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“…RESULTS: Women education, region, religion, wealth index, and husband/partner education were identified as predictors of Health-Related Quality of Life. …”
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“…Significant factors included the mother’s age, level of education, religion, occupation, desire for last-child, place of delivery, exposure to media, birth order of the child, wealth status, number of antenatal care visits, postnatal attendance, healthcare decision maker, community poverty, community illiteracy, community unemployment, rural proportion and number of health facilities per 100,000. …”
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“…It is open to all higher trainees, utilising special interest time over 12 months.In most establishments, certain groups are more prone to prejudice; whether due to age, gender, ethnic origin, sexual orientation, religion, career progression or disability. Leeds and York Partnership Foundation Trust (LYPFT) values diversity and strives to foster growth within a multicultural workforce and patient group. …”
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“…Residence (rural; AOR: 0.83, 95% CI: 0.70, 0.980), educational status (None educated; AOR: 0.43, 95% CI: 0.30, 0.62, primary education AOR: 0.49, 95% CI: 0.34, 0.69), religion (protestant AOR: 0.72, 95% CI: 0.64, 0.81), Muslim; AOR: 0.87, 95% CI: 0.78, 0.96, Others; AOR: 0.66, 95% CI: 0.50, 0.87), wealth index (poor; AOR: 0.70, 95% CI: 0.63, 0.79, middle; AOR: 0.75, 95% CI: 0.66, 0.85), working status (Not working; AOR: 0.73, 95% CI: 0.66, 0.80), husband working status (husband not working; AOR:1.69, 95% CI: 1.43, 2.0) and sex of household head (female heads; AOR: 1.29, 95% CI: 1.08, 1.54) were statistically significant factors. …”
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“…We paid special attention to differences across specific sociodemographic (gender, age, and religion status) and educational (level of study and study field) characteristics. …”
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“…Gender, nationality, religion, health insurance, and highest level of completed education were no predictors for place of last care, yet previous outpatient palliative care involvement decreased the odds of dying in a hospital (OR, 0.301; 95% CI, 0.180–0.505; p-value < 0.001). …”
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“…The study examined the Spearman’s rho correlations between perceived health, rural–urban residence, age, sex, marital status, ever schooled, current work state, religion, and regional location. Subsequently, the study employed a multivariable ordinal logistic regression model to test the effect of the selected biosocial and contextual variables on perceived health state. …”
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“…Attitudes and self-efficacy also varied across the demographic characteristics of the respondents including age, having a relative with ID, level of study, religion, and programme of study. CONCLUSION: The study underscores the necessity for healthcare curriculum reform and provides corresponding recommendations. …”
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“…Logistic models were run for each country separately, with pre-diabetes as the outcome and a series of sociodemographic variables (age, gender, urban/rural residence, number of children, employment status, wealth index, education level, and ethnicity (in South Africa) or religion (in Namibia)) entered as variables to investigate the independent relationship of each. …”
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“…OUTCOMES: The primary outcome was retention in care. Age, gender, religion, tuberculosis (TB) status, WHO clinical stage, functional status, cluster of differentiation 4 (CD4) cell count, viral load and SMI diagnosis were among the predictor variables. …”
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“…Factors like age, place of residence, caste, religion, education, wealth index and toilet facility were found to be significantly associated with the use of unhygienic and both methods. …”
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“…Likewise, the study reflected the double discrimination suffered by women (for being a woman and having a disability), as well as the lack of education, counseling or sex therapy by specialized professionals, and the influence of religion, society and culture as factors that condition and limit their sexuality. …”
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“…While in the multilevel analysis, age, education level, religion, household media exposure, wealth index, khat chewing, previous history of HIV testing,age at first sex, HIV related knowledge, HIV related stigma, distance to health facility, and community level media exposure were associated with premarital HIV testing among married women. …”
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“…The identified risk factors for MDR were education (OR ​= ​0.739, p ​= ​0.017), age (OR ​= ​0.846, p ​= ​0.048), religion (OR ​= ​1.95, p ​= ​0.0003), family income (OR ​= ​1.76, p ​= ​0.008), previous TB treatment (OR ​= ​3.64, p ​= ​0.004), smoking (OR ​= ​1.33, p ​= ​0.035) and HIV status (OR ​= ​1.85, p ​= ​0.006). …”
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“…RESULTS: When we controlled for the potential confounding effects of marital status, place of residence, religion and age, men in the richest third of the population were less likely to have used a condom in the last sex with a non-spousal non-cohabiting partner (OR 0.43, 95% CI 0.32–0.56) and more likely to have had at least two concurrent sex partners in the last 12 months (OR 1.38, 95% CI 1.12–1.19) and more than five lifetime sex partners (OR 1.97, 95% CI 1.60–2.43). …”
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“…By multiple logistic regression, factors associated with children's receipt of iron included: wealth (Odds Ratio (OR) 2.63 [95% CI 1.11, 6.24] for top vs bottom wealth quintile), male sex (OR 2.45 [1.47, 4.10]), mother receiving postnatal iron (OR 2.31 [1.25, 4.28]), mother having undergone antenatal blood test (OR 2.10 [1.09, 4.03]); Muslim religion (OR 0.02 [0.00, 0.27]), attendance at Anganwadi centre (OR 0.23 [0.11, 0.49]), fully vaccinated (OR 0.33 [0.15, 0.75]), or children of mothers with more antenatal health visits (8-9 visits OR 0.25 [0.11, 0.55]) were less likely to receive iron. …”
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“…CONCLUSIONS: Men who were uneducated or had primary level education, aged above 25 years, had higher income, formal employment, came from Hindu religion and non-indigenous ethnicities demonstrated greater involvement and these factors should be emphatically considered during maternal health program development.…”
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“…The study findings would suggest that multifactorial prevention programmes that address social norms, gender role and image, and incorporate drug policy, religion, family and school would be more effective and may have better protective outcomes.…”
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“…Bacterial vaginosis was higher in non-pregnant (5.6 %) than pregnant women (0.5 %) (P = 0.002). Religion, age, living in rural area and having lower abdominal pain were significantly associated with bacterial vaginosis and candidiasis (P < 0.05). …”
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