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  1. 3001
    “…RESULTS: Publicity: The selection decision of artemether-lumefantrine but not the rationale behind it was publicised through radio, television, and newspaper channels in the national language, Swahili. …”
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    Priority setting for the implementation of artemisinin-based combination therapy policy in Tanzania: evaluation against the accountability for reasonableness framework
  2. 3002
    “…There were no significant differences in time on other sedentary behaviours, including television and DVD, video game, extracurricular reading, writing, drawing and listening to music, passive commuting and sitting to talk. …”
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    Effect of a school-based peer education intervention on physical activity and sedentary behaviour in Chinese adolescents: a pilot study
  3. 3003
    “…Restricting children’s access to television was associated with decreased MVPA. Increased paternal age was associated with significant increases in %SB (p = 0.02), but not MVPA or total PA. …”
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    Early Predictors of Objectively Measured Physical Activity and Sedentary Behaviour in 8–10 Year Old Children: The Gateshead Millennium Study
  4. 3004
    “…For two-thirds of the patients, another TB patient was a source of TB-related knowledge, while health education material (16%) and television (10%) played a smaller role. CONCLUSION: Treatment delay, primarily due to diagnosis delay, was a greater problem than patient delay. …”
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    Pulmonary Tuberculosis in Mumbai, India: Factors Responsible for Patient and Treatment Delays
  5. 3005
    “…E-Learning has grown out of recent developments in information and communication technology, such as the Internet, interactive computer programmes, interactive television and mobile phones. The aim of this study is to assess the cost-effectiveness of e-learning devices as a method of promoting weight loss via dietary change. …”
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    An economic evaluation of adaptive e-learning devices to promote weight loss via dietary change for people with obesity
  6. 3006
    “…With the advent of specialized television channels offering 24-hour coverage, Internet and smart phones, the possibility to be constantly in contact with the media has increased dramatically in the last decades. …”
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    There Is No News Like Bad News: Women Are More Remembering and Stress Reactive after Reading Real Negative News than Men
  7. 3007
    “…We performed bivariate and multivariate logistic regression analyses with ADHD classification as the response variable and the following explanatory variables: sex, race, depression, anxiety, body mass index, healthcare coverage, family structure, socio-economic status, family members’ smoking status, education, computer usage, watching television (TV)/playing video games, participation in sports, and participation in clubs/organizations. …”
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    Factors associated with attention deficit/hyperactivity disorder among US children: Results from a national survey
  8. 3008
    “…Participants' neural activity was recorded as they reviewed ideas for potential television show pilots. Participants' language from video-taped interviews collected post-scan was transcribed and given to an automated linguistic sentiment analysis (SA) classifier, which returned ratings for evaluative language (evaluative vs. descriptive) and valence (positive vs. negative). …”
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    Getting the word out: neural correlates of enthusiastic message propagation
  9. 3009
    “…Information on LAPMs in the town was 636 (86.6%). Media (radio and television) was the major sources of information 641 (87.3%). …”
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    Demand for long acting and permanent methods of contraceptives and factors for non-use among married women of Goba Town, Bale Zone, South East Ethiopia
  10. 3010
    “…Lower risk of eating Fuku Elegusi was predicted by perceived susceptibility to bTB due to another risk behaviour, namely, not washing hands after handling meat (OR: 0.78, 95% CI: 0.64 to 0.96; p-value = 0.021). Television and radio were the most acceptable media for TB prevention messages (78.5% and 75.6% respectively). …”
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    Predictors of Bovine TB Risk Behaviour amongst Meat Handlers in Nigeria: A Cross-Sectional Study Guided by the Health Belief Model
  11. 3011
    “…Time spent watching television/videos and playing video games was self-reported (<1hr/d, 1hr/d, 2hrs/d, 3hrs/d, 4hrs/d, or 5+hrs/d). …”
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    Greater screen time is associated with adolescent obesity: a longitudinal study of the BMI distribution from ages 14 to 18
  12. 3012
    “…Conversely, greater proportion of the population with interest in television was associated with higher prevalence of obese and/or overweight people of 3.9% (95% CI: 3.7 to 4.0) (USA) and 27.5% (95% CI: 27.1 to 27.9, significant) (NYC). …”
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    Assessing the Online Social Environment for Surveillance of Obesity Prevalence
  13. 3013
    “…Few consumers (7.8%) reported receiving this information from providers but reported learning about strategies to maintain memory, primarily from television (50.1%), magazines (44.1%), and newspapers (33.7%). …”
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    Beliefs and Communication Practices Regarding Cognitive Functioning Among Consumers and Primary Care Providers in the United States, 2009
  14. 3014
    “…We used a structured questionnaire to collect demographic information and respondent’s exposure to several risk factors such as daily physical activity at home and in school, hours spent on computer games and television watching, maternal education level and parents’ weight and height. …”
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    Risk factors associated with overweight and obesity among urban school children and adolescents in Bangladesh: a case–control study
  15. 3015
    “…Advertisements included newspaper, television, radio, Internet, distributed brochures, utility bill inserts, and direct mailing. …”
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    Recruitment strategies and yields for the Pathobiology of Prediabetes in a Biracial Cohort: a prospective natural history study of incident dysglycemia
  16. 3016
    “…Anthropometric data (reported) of both parents and children and information on levels of physical activity and time children spent watching television (TV) were obtained. RESULTS: In the total sample, parents are predominantly (75.0 %) of normal weight (M: 55.2 %; F: 79.1 %), 16.8 % are overweight (M: 36.9 %; F: 12.6 %), 4.0 % are obese (M: 6.6 %; F: 3.5 %) and 4.2 % are underweight (M: 1.3 %; F: 4.8 %). …”
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    Childhood obesity, overweight and underweight: a study in primary schools in Milan
  17. 3017
    “…After controlling for age, gender, socioeconomic status, school performance, television screen time, personality characteristics and smoking status of peers and parents, each additional 10 tobacco advertising contacts increased the adjusted relative risk for established smoking by 38% (95% CI 16% to 63%; p<0.001) and for daily smoking by 30% (95% CI 3% to 64%; p<0.05). …”
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    From never to daily smoking in 30 months: the predictive value of tobacco and non-tobacco advertising exposure
  18. 3018
    “…RESULTS: Students’ main sources of health information were their teachers (62%), health care workers (60%), television (59%), and parents (54%). Familial risk factors of diabetes and hypertension were not known to more than two thirds of the students. …”
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    Knowledge of communicable and noncommunicable diseases among Karen ethnic high school students in rural Thasongyang, the far northwest of Thailand
  19. 3019
    “…Two conservation-related events, linked to Wikipedia and the airing of a television documentary, led to an increase in awareness, and ultimately to the removal of the analysed video. …”
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    Tickled to Death: Analysing Public Perceptions of ‘Cute’ Videos of Threatened Species (Slow Lorises – Nycticebus spp.) on Web 2.0 Sites
  20. 3020
    “…No associations were observed for vigorous activity or television watching. In summary, using a large prospective cohort study, we found no evidence that BMI at baseline or middle age was associated with decreased lung cancer risk in never smokers. …”
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    Anthropometric Measures and Physical Activity and the Risk of Lung Cancer in Never-Smokers: A Prospective Cohort Study
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