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3361“…The multivariable analysis indicated that the age group between 36–47 months [AOR = 2.38 (95%CI; 1.27,4.46)],high dietary diversity[AOR = 3.73(95%CI;1.15,12.54),consumption of sweet food[AOR = 2.69 (95%CI,1.21, 5.98)],time spent in watching television>2hr/day [AOR = 4.01 (95%CI;2.22, 7.26)] and mother’s education at secondary level [AOR = 0.35 (95% CI; 0.12, 0.96)] were associated with overweight/obesity among preschool children. …”
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3362por Ojewola, Rufus Wale, Oridota, Ezekiel Sofela, Balogun, Olanrewaju Samuel, Ogundare, Ezra Olatunde, Alabi, Taiwo Opeyemi, Banjo, Oluseyi Omotola, Laoye, Adeyinka, Adetunmbi, Babatunde, Adebayo, Bamidele Oludele, Oluyombo, Rotimi“…The main sources of information were radio and television. Overall, 143(46.9%) respondents had good knowledge while 162(53.1%) had poor knowledge. …”
Publicado 2017
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3363por Colonna, Paolo, Andreotti, Felicita, Ageno, Walter, Pengo, Vittorio, Marchionni, Niccolò“…Data on strategies to optimise appropriate prescription of antithrombotic therapy showed agreement on the utility of short television advertisements about the risks of stroke associated with AF (79% agreement, item 8), on a campaign encouraging regular control of cardiac rhythm by pulse taking (77% agreement, item 1), on a campaign reporting the advantages of anticoagulation over no antithrombotic therapy (98% agreement, item 2) or of NOACs over aspirin (96% agreement, item 3) or on the practical use of NOAC (93% agreement, item 6) or on stroke and bleeding risk scores (87% agreement, item 7). …”
Publicado 2017
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3364“…Eighty-three adult heterosexual women (mean age ± SD = 26.7 ± 6.01) answered a survey that included questions about health (e.g. frequency of illnesses during the last year and during childhood), access to media (e.g. time spent watching television, frequency of internet use), education (i.e. highest level achieved) and violence perceptions. …”
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3365por Chen, Yen-Tyng, Cooper, Hannah L.F., Windle, Michael, Haardörfer, Regine, Crawford, Natalie D., Chen, Wei J., Chen, Chuan-Yu“…RESULTS: Among alcohol-naïve adolescents, lower district-level economic disadvantage, a higher proportion of betel nut kiosks (a relatively unregulated alcohol source) compared to off-premises alcohol outlets, and exposure to television-based alcohol advertising predicted increased likelihood of alcohol initiation at one-year follow-up. …”
Publicado 2016
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3366por Abulizi, Guzhalinuer, Abulimiti, Tangnuer, Li, Hua, Abuduxikuer, Guzhalinuer, Mijiti, Patiman, Zhang, Su-Qin, Maimaiti, Ayinuer, Tuergan, Muyasier, Simayi, Ayiguli, Maimaiti, Miherinisha“…Top three route of knowledge acquire were television advertises (39.1%), neighbors (21.0%) and health care providers (15.0%). …”
Publicado 2018
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3367“…Currently, the patient can now watch television, engage in improved visual sighting, and focus on visual-spatial and cognitive-linguistic materials. …”
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3368por Yates, Thomas, Zaccardi, Francesco, Dhalwani, Nafeesa N, Davies, Melanie J, Bakrania, Kishan, Celis-Morales, Carlos A, Gill, Jason M R, Franks, Paul W, Khunti, Kamlesh“…Cox-proportional hazard models were adjusted for social deprivation, ethnicity, employment, medications, alcohol use, diet, physical activity, and television viewing time. Interaction terms investigated whether age, body mass index (BMI), and smoking status modified associations. …”
Publicado 2017
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3369“…The outcome variables were baseline screen time (television viewing time and leisure-time internet use) and its change over 2 years. …”
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3370“…Risk factors for overweight were insufficient physical activity (OR 1.6, 95% CI 1.1–2.4), watching video/DVD ≥ 2 h (OR 3.1, 95% CI 1.8–5.3), watching television ≥ 2 h (OR 2.6, 95% CI 1.7–3.8) and doing homework ≥ 2 h, (OR 1.8, 95% CI 1.2–2.7). …”
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3371por Chowdhury, Morseda, Dibley, Michael J, Alam, Ashraful, Huda, Tanvir M, Raynes-Greenow, Camille“…We investigated the association of small birth size with the following potential explanatory variables: sex of the child; birth interval; mother's age at birth, height, body mass index (BMI), anemia status, parity, previous pregnancy loss, antenatal care visits, exposure to television, and participation in health care decisions; cooking fuel; parents' education level; region; place of residence; and wealth index using Pearson's chi-square test. …”
Publicado 2018
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3372por Ha, Oh-Ryeong, Killian, Haley, Bruce, Jared M., Lim, Seung-Lark, Bruce, Amanda S.“…Television food advertising influences children’s food choices. …”
Publicado 2018
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3373“…Self-report measures assessed depressive symptoms during the past 12 months, and SB, which was a composite variable assessing time spent sitting and watching television, playing computer games, talking with friends during a typical day excluding the hours spent sitting at school and doing homework. …”
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3374“…The constant stream of data collection does not distinguish waking sedentary activities in bed, e.g., watching television or reading, from sleep. Moreover, correct classification during sleep-wake transitions is not well established. …”
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3375por McDonald, Jill A., Sroka, Christopher, Olivares, Elizabeth, Marin, Merranda, Gurrola, Maria, Sharkey, Joseph R.“…Increased odds of heavy screen use were associated with having a television on while the child ate (weekday AOR = 3.02; 95% confidence interval [CI], 1.08–8.45 and weekend AOR = 2.38; 95% CI, 1.04–5.40) and using electronics to entertain (weekend AOR = 2.94; 95% CI, 1.15–7.51). …”
Publicado 2018
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3376“…The introduction of new species into the migrants’ therapeutics occurred mainly by observations of organoleptic similarities between the substituted plant and the incorporated species, conversations with neighbors, and contact with the television and print media. In addition, the public health system allowed the interviewees access to prophylactic drugs, leading to the discontinuation of certain recipes used in endemic diseases. …”
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3377por Almalki, Mohammed Ali, AlJishi, Maram Nader, Khayat, Maie Abdulrhman, Bokhari, Hotoun Fayez, Subki, Ahmed Hussein, Alzahrani, Abdulrahman Mousa, Alhejily, Wesam Awad“…METHODS: A cross-sectional study was conducted in Jeddah during the period January 2017 to December 2017 by using an online survey questionnaire to assess participants’ awareness of 14 risk factors for CAD, namely: smoking, lack of physical activity, fast food and soft drink intake, television and computer use; history of diabetes mellitus, myocardial infarction and stroke; as well as a family history of diabetes mellitus, diabetes, hypertension, hyperlipidemia, CAD and myocardial infarction. …”
Publicado 2019
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3378“…Additionally, 178 (29%) respondents reported a written policy regarding SV (with majority regulated at the center-level; n = 173; 34%) and primarily focusing on amount of time children watch television. CONCLUSIONS: PA regulations are more common than SV policies in Canadian childcare centers; however, less than half implement a PA policy and only a third adopt SV regulations. …”
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3379“…A higher TGMD-3, total score (β (SE) = 0.4 (0.2), p = 0.017) and locomotor score (β (SE) = 0.7 (0.3), p = 0.018) were associated with more VPA but not with TPA or MVPA. Screen-time and television in the bedroom were not related to SB, TPA, MVPA, or VPA. …”
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3380por Ruiter, Emilie L. M., Fransen, Gerdine A. J., Molleman, Gerard R. M., Hoeijmakers, Michelle J. H. M., van der Velden, Koos, Engels, Rutger C. M. E.“…The five most frequently reported situations were a daily struggle regarding eating vegetables, eating breakfast on time before going to school, eating candy and snacks between meals, and spending excessive time watching television and using the computer. A perceived loss of parental control, the inability to establish rules and the failure to consistently enforce those rules were the most commonly cited reasons for why the mothers experience these situations as being difficult. …”
Publicado 2019
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