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  1. 12321
    “…Higher household diet quality was associated with household heads who were older (> 56 years old) (HEI: β 2.06, 95% CI: 1.63, 2.50; DQI-I β 2.90, 95% CI: 2.34, 3.45), higher educated (college/university completed) (HEI: β 4.54, 95% CI: 4.02, 5.06; DQI-I: β 2.11, 95% CI: 1.45, 2.77) and living in urban areas (HEI: β 2.85, 95% CI: 2.54, 3.16; DQI-I: β 0.72, 95% CI: 0.32, 1.12). …”
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    A comparison of diet quality indices in a nationally representative cross-sectional study of Iranian households
  2. 12322
    “…CONCLUSION: More than half of the respondents had better knowledge and attitude regarding COVID-19. Higher educational level and larger family size were significant factors predominantly affecting the knowledge and attitude of the communities towards COVID-19.…”
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    Knowledge and attitude of the communities towards COVID-19 and associated factors among Gondar City residents, northwest Ethiopia: A community based cross-sectional study
  3. 12323
    “…CONCLUSION: Among vaccine hesitators with higher educational attainment, willingness to vaccinate for COVID-19 appears to increase if mobile technology-based vaccine mandates prohibit unvaccinated individuals from public spaces and public transportation. …”
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    Would COVID-19 vaccination willingness increase if mobile technologies prohibit unvaccinated individuals from public spaces? A nationwide discrete choice experiment from China
  4. 12324
    “…Individuals with a higher educational degree (undergraduate and professional, or postgraduate and higher) had higher odds of being a portal user (adjusted odds ratio [OR] 1.58, 95% CI 1.04-2.39 and OR 2.38, 95% CI 1.42-4.02, respectively) compared with those with a secondary degree or below. …”
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    Determinants of Use of the Care Information Exchange Portal: Cross-sectional Study
  5. 12325
    “…Higher risk factor scores were associated with those of advanced age (AIRR = 1.24; 95% CI: 1.01–1.53 in 35–44 age group and AIRR = 1.28; 95% CI: 1.01–1.62 in 45–54 age group), and the ones who are higher educational level (AIRR = 1.23; 95% CI: 1.07–1.43 for those who have completed secondary school and AIRR = 1.29; 95% CI: 1.11–1.50 for those who have completed college education). …”
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    Almost all working adults have at least one risk factor for non-communicable diseases: Survey of working adults in Eastern Ethiopia
  6. 12326
    “…ANOVA showed that participants aging from 31 to 40, with higher educational level, with middle level of annual after-tax income, with department of internal medicine or surgery, or with middle level of job title scored higher on both GAD-7 and PHQ-9. …”
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    Emotional State of Chinese Healthcare Workers During COVID-19 Pandemic
  7. 12327
    “…Older age (odds ratios, 1.39-3.70), male gender (odds ratio, 1.41; 95% CI, 1.11-1.75), higher educational level (odds ratio, 1.48; 95% CI, 1.17-1.87), and having seasonal influenza vaccination uptake history (odds ratio, 2.15; 95% CI, 1.82-2.54) were found to be associated with increased willingness. …”
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    COVID-19 Vaccine Willingness and Related Factors Among Health Care Workers in 3 Southeast Asian Jurisdictions
  8. 12328
    “…Parental VH was significantly higher among older mothers (37.06 ± 8.8 years, p = 0.006), rural residents (53.6%, p < 0.001), high-income countries residents (50.6%, p < 0.001), and mothers with higher educational levels (52.1%, p < 0.001). Parents of school-aged children (5–9 years) (55.6%, p < 0.001), children free from any comorbidities (52.5%, p < 0.001), children who did not receive routine vaccination at all (51.5%, p = 0.03), children who were not vaccinated against COVID-19 (54.3%, p < 0.001), in addition to parents who were not vaccinated against influenza (57.1%, p < 0.001) were significantly associated with increased likelihood of VH. …”
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    Determinants of parental seasonal influenza vaccine hesitancy in the Eastern Mediterranean region: A cross-sectional study
  9. 12329
    “…Moreover, older adults with higher educational status [AOR: 0.42; CI: 0.34, 0.52], currently working [AOR: 0.77; CI: 0.67, 0.88], from urban areas [AOR: 0.86; CI: 0.76–0.98] and from western region [AOR: 0.55; CI: 0.48–0.64] had lower odds of VI in this study. …”
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    Prevalence and predictors of vision impairment among older adults in India: evidence from LASI, 2017–18
  10. 12330
    “…Young women aged 20–24 (aOR = 4.49, 95% CI = 4.34, 4.65) and those who had secondary/higher educational level (aOR = 1.63, 95% CI = 1.54, 1.72) were more likely to engage in PSI compared to those aged 15–19 and those with no formal education. …”
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    Prevalence and predictors of premarital sexual intercourse among young women in sub-Saharan Africa
  11. 12331
    “…Factors like: women 25 to 34 years (aRRR = 1.5;95% CI:1.2–1.9), 35 to 44 years (aRRR = 2.4; 95% CI: 3.3–5.4), and greater than 45 years (aRRR = 2.9; 95% CI: 2.2–3.7); place of residence (rural; aRRR = 0.89; 95% CI 0.81–0.99), higher educational status (aRRR = 0.035;95%CI:0.61–0.98), grandmultipara (aRRR = 1.73;95%CI:1.6–1.9), and wealth index (poorer aRRR = 0.541;95%CI:0.46–0.631.9) were the factors significantly associated with the outcome variable. …”
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    Modern contraceptive method utilization and determinant factors among women in Ethiopia: Multinomial logistic regression mini- EDHS-2019 analysis
  12. 12332
    “…Almost 90% of respondents used CAM as self-care and the related factors were: older, had a higher educational level and tended to be primiparas. They used the Internet as their main source of information about CAM. …”
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    Complementary and alternative medicine use by pregnant women in Japan: a pilot survey
  13. 12333
    “…The prevalence of physical multimorbidity was increased with older age (odds ratio 2·93, 95% CI 2·71–3·15), among women (2·70, 2·04–3·57), within a higher socioeconomic group (for quartile 4 [highest group] 1·50, 1·24–1·82), and higher educational level (5·17, 3·02–8·83); however, physical multimorbidity was more common in poorer regions than in the more affluent regions. …”
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    Physical multimorbidity, health service use, and catastrophic health expenditure by socioeconomic groups in China: an analysis of population-based panel data
  14. 12334
    “…RESULTS: There were a significant difference in the rate of SRH service utilization between YFS implemented (33.8%) and YFS non- implemented (9.9%) areas (χ2 = 37.49, p < 0.001). Higher educational status of mothers (AOR = 2.588, 95% CI: 1.220, 5.491), having open discussion with family (AOR = 3.175, 95%CI: 1.624, 6.206), having good knowledge (AOR = 4.511, 95% CI: 2.458, 8.278) and having positive attitude (AOR = 5.084, 95% CI: 2.764, 9.352) were factors positively associated with SRH services utilization. …”
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    Disparities in utilization of sexual and reproductive health services among high school adolescents from youth friendly service implemented and non-implemented areas of Southern Ethiopia
  15. 12335
    “…Disclosure at baseline varied significantly by sociodemographic characteristic (p < 0.05), with higher disclosure in females, among urban residents, and higher educated caregivers. However, the observed disclosure variations by sociodemographic characteristics at baseline disappeared at midline and disclosure reached around 96% across the characteristics (p > 0.05). …”
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    Accelerating caregivers’ HIV status disclosure to community-based lay social welfare volunteers in Tanzania
  16. 12336
    “…Female (OR = 0.33, 95% CI: 0.21, 0.54) and people living in rural areas (OR = 0.57, 95% CI: 0.36, 0.92) were less likely to choose hospitals at county level or above while the higher educated were more likely to (OR = 3.29, 95% CI: 1.35, 8.02). …”
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    Health seeking behavior and associated factors among individuals with cough in Yiwu, China: a population-based study
  17. 12337
    “…CONCLUSION: Our study indicates that the uptake of IPTp-SP is relatively low among the countries included in this study, with significant inter-country variations. Higher educational level, exposure to media, low parity, and higher age group were associated with higher odds of optimal IPTp-SP uptake. …”
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    Factors influencing the uptake of intermittent preventive treatment among pregnant women in sub-Saharan Africa: a multilevel analysis
  18. 12338
    “…Late-adolescent girls with higher educational status were 4.40 times (AOR = 4.40; 95% CI: (1.64–11.76) more likely to be undernourished than those with no educational status. …”
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    Spatial patterns and determinants of undernutrition among late-adolescent girls in Ethiopia by using Ethiopian demographic and health surveys, 2000, 2005, 2011 and 2016: a spatial and multilevel analysis
  19. 12339
    “…Women with secondary and higher educational level had higher odds of caesarian section (AOR = 2.15, 95%CI = 1.38-3.34) and (AOR = 2.8, 95%CI = 1.73-4.53) compared to those in no education category. …”
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    Prevalence and associated factors of caesarian section in Ethiopia: a multilevel analysis of the 2019 Ethiopia Mini Demographic Health Survey
  20. 12340
    “…LIMITATIONS: Many parents declined participation and the sample is over-represented by higher educated parents. Results cannot be extended to older ages. …”
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    Autism screening at 18 months of age: a comparison of the Q-CHAT-10 and M-CHAT screeners
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