Mostrando 3,841 - 3,860 Resultados de 4,106 Para Buscar '"televisión"', tiempo de consulta: 0.17s Limitar resultados
  1. 3841
    “…In the multivariable mixed-effect logistic regression analysis; primary education [AOR = 1.36; 95% CI: 1.13, 1.64], rural residence [AOR = 4.96; 95% CI: 3.42, 7.18], protestant religion follower [AOR = 0.56; 95% CI: 0.42, 0.75], richest wealth status [AOR = 1.72; 95% CI: 1.24, 2.40], maternal age 45–49 years [AOR = 3.12; 95% CI: 1.52, 6.44], listening radio [AOR = 1.27; 1.01, 1.60], and watching television [AOR = 1.45; 1.04, 2.01] were significant determinants of abortion. …”
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  2. 3842
    “…OBJECTIVES: To assess the reach of the expanded court-ordered tobacco industry antismoking advertisements (via television, newspapers, tobacco company websites, and/or cigarette packages), to examine associations between exposure to industry antismoking advertisements and intentions and/or attempts to quit smoking among cigarette smokers, and to calculate the numbers of US smokers who would have quit intentions associated with exposure to multiple advertisements. …”
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  3. 3843
    “…Family is a primary source of ethnobotanical knowledge transmission on both sides of the border; however, in Romania, knowledge from other sources is very limited, whereas in Ukraine interviewees reported several other sources including books, magazines, newspapers, the Internet and television. This is especially evident when analysing the wild plants used for medicinal purposes as we found 53 taxa that were common to both, 47 used only in Ukraine and 11 used only in Romania. …”
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  4. 3844
    por Ahinkorah, Bright Opoku
    Publicado 2020
    “…The explanatory variables were age, marital status, occupation, educational level, frequency of reading newspaper/magazine, frequency of listening to radio, frequency of watching television and parity (individual level variables) and wealth quintile, sex of household head, place of residence and decision-maker in healthcare (household/community level variables). …”
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  5. 3845
    “…However, the mode of presentation differed between the two conditions such that a head-mounted display was used to present the avatar in the first-person perspective, but a 3D television (3DTV) display was used to present the avatar in the third-person. …”
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  6. 3846
    “…RESULTS: The prevalence of anemia among children 6–23 months of age was 72.3%; 27.5% mild, 41% moderate, and 3.8% severe anemia. child age 18–23 months (AOR: 0.76; 95%CI: 0.61–0.93), female sex (AOR: 0.84; 95%CI: 0.72–0.98), maternal anemia (AOR: 1.53; 95%CI: 1.28–1.82), exclusive breastfeeding (AOR: 0.73; 95%CI: 0.54–0.98), child fever (AOR: 1.41; 95%CI: 1.03–1.93), underweight children (AOR: 1.42; 95%CI: 1.17–1.73) and exposure to either newspaper, radio or television (AOR: 0.78; 95%CI: 0.61–0.99) were the individual-level factors associated with anemia. …”
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  7. 3847
    “…The majority of our participants (n = 249, 82%) heard about organ donation with television (n = 166, 55%), social media (n = 77, 25%), and the internet (n = 77, 25%) being the most common sources of information. …”
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  8. 3848
    “…The most popular information sources were television among laywomen and general practitioners or specialists among screening attendees. …”
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  9. 3849
    “…Information sources most used and most trusted were the workplace, work colleagues, health workers and television. The results were used to produce a set of targeted educational videos which addressed many of these gaps with subsequent improvements on retesting in a number of areas. …”
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  10. 3850
    “…The clinical studies were categorized thematically by illness comparing 4 technology types deemed relevant: apps/web-based technology, sensor technology, virtual reality, and television. All eHealth assessment and implementation studies were categorized by their focus point: usability, scaling, or data management. …”
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  11. 3851
  12. 3852
    “…KEY RESULTS: Health care providers (78%), women friends (46%), and internet (45%) were the most common sources of health information used by African immigrant women, followed by women relatives (32%), television (22%), social media (17%), and church (16%). …”
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  13. 3853
    “…CONCLUSION: Use of appropriate and well-designed Health education materials on radios, televisions and social media platforms like Facebook and twitter among others can be effective means of communication since they can reach the highest number of people. …”
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  14. 3854
    “…RESULTS: Participation in leisure-time physical activity was minimal and leisure time was mostly spent resting, socialising, or engaging in sedentary activities such as watching television. Walking was the most common form of leisure-time physical activity, and men reported being more active than women. …”
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  15. 3855
    “…The binary logistic regression finds significant relationships between region, maternal education, wealth index, size of a child, watching television, delivery by cesarean, and maternal age and EBF. …”
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  16. 3856
    “…Multivariate logistic regression analyses were conducted to explore the associations between the features of the articles and users reading nutrition and diet knowledge; it was found that gender (female, OR: 4.651, 95%Cl: 2.598, 8.325, and p < 0.001), age (young adult, OR: 0.358, 95%Cl: 0.266, 0.481, and p < 0.001), cancer precaution knowledge (OR: 4.333, 95%Cl: 2.262, 8.299, and p < 0.001), traditional Chinese medicine (OR: 2.121, 95%Cl: 1.064, 4.230, and p = 0.033), the knowledge acquisition approach [circle of friends (OR: 2.586, 95%Cl: 1.373, 4.868, and p = 0.003), social media (OR: 2.183, 95%Cl: 1.204, 3.960, and p = 0.010)), hospitals (OR: 3.194, 95%Cl: 1.793, 5.692, and p < 0.001), television media (OR: 4.348, 95%Cl: 2.341, 8.077, and p < 0.001)], and social media strategies [professionalism and authority (OR: 2.354, 95%Cl: 1.231, 4.505, and p = 0.006)] have statistically significant relationships with users reading nutrition and diet knowledge. …”
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  17. 3857
    “…The most used information sources were television (used by 73.3% in spring, 70% in fall and 72.3% in winter) and the internet (used by 64.1, 64.8 and 66.5%). …”
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  18. 3858
    “…Models were adjusted for potential confounding by BMI Z-score, age, daily energy intake (g/day), maternal education, hours of daily television watching after school, dairy intake (g/day), meat intake (g/day), waist circumference, and menarche. …”
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  19. 3859
    “…The factors associated with timely HepB-BD are delivery in a health facility (AOR = 1.55; 95% CI = 1.02–2.40), access to television (AOR = 1.63; 95% CI = 1.16–2.29), weighing (AOR = 3.92; 95% CI = 1.97–8.53) and hospitalization of the newborn immediately after birth (AOR = 0.42; 95% CI = 0.28–0.62). …”
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  20. 3860
    “…The campaign used a short film broadcast on national television and promoted on social media to encourage behaviour change for kindness. …”
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