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3781por Sisay, Mekonnen, Gashaw, Tigist, Degefu, Natanim, Hagos, Bisrat, Alemu, Addisu, Teshome, Zenebu, Admas, Mekonnen, Kibret, Haregeweyn, Dessie, Yadeta“…Most of the study participants obtained COVID-19-related information from television (n = 125, 69.4%). The prevalence of depression was found to be 18.9%. …”
Publicado 2021
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3782“…Top sources of exposure among those exposed were stores, 40.7%; malls, 30.9%; and television, 32.5%. Of those aware of e-cigarettes, 61.2% believed ‘e-cigarette advertisements and promotion may make adolescents think of smoking traditional cigarettes’; 62.7% believed that ‘e-cigarette advertisements and promotions may make ex-smokers think of starting smoking cigarettes again’; and 59.5% supported the statement that ‘e-cigarette smoking should be banned indoors just as traditional cigarette smoking’. …”
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3783por Kelly, Christine, Tinago, Willard, Alber, Dagmar, Hunter, Patricia, Luckhurst, Natasha, Connolly, Jake, Arrigoni, Francesca, Garcia Abner, Alejandro, Kamn’gona, Raphael, Sheha, Irene, Chammudzi, Mishek, Jambo, Kondwani, Mallewa, Jane, Rapala, Alicja, Mallon, Patrick W. G., Mwandumba, Henry, Klein, Nigel, Khoo, Saye“…Arterial stiffness was also associated with higher SES (car ownership p = 0.003, television ownership p = 0.012 and electricity access p = 0.029). …”
Publicado 2021
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3784por Mekonnen, Mathewos, Kinati, Tadele, Bekele, Kumera, Tesfa, Bikila, Hailu, Dejene, Jemal, Kemal“…Mother’s educational status of primary school [AOR = 4.50, 95% CI: (1.38,14.61)], husband’s occupation being merchant [AOR = 6.45, 95% CI: (1.51, 27.59)]; antenatal care follows up [AOR = 3.15, % CI: (1.22, 8.12)], radio/television ownership [AOR = 7.41, 95% CI: (2.86, 19.20)], child’s sex being female [AOR = 4.78, 95% CI: (2.26, 10.064) and sufficient knowledge on child feeding [AOR = 2.82, 95% CI: (1.27, 26.26)] were independent predictors for appropriate IYCF practice. …”
Publicado 2021
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3785por Birabwa, Catherine, Chemonges, Dennis, Tetui, Moses, Baroudi, Mazen, Namatovu, Fredinah, Akuze, Joseph, Makumbi, Fredrick, Ssekamatte, Tonny, Atuyambe, Lynn, Hernandez, Alison, Sewe, Maquins Odhiambo“…Exposure to media was found in 70.6% of the respondents, mostly through television (58.5%) and radio (58.3%). Discussing FP with a provider was significantly associated with media exposure (aPR 1.4, 95% CI: 1.24–1.56). …”
Publicado 2021
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3786por Li, Xuedi, Vanderloo, Leigh M., Keown-Stoneman, Charles D. G., Cost, Katherine Tombeau, Charach, Alice, Maguire, Jonathon L., Monga, Suneeta, Crosbie, Jennifer, Burton, Christie, Anagnostou, Evdokia, Georgiades, Stelios, Nicolson, Rob, Kelley, Elizabeth, Ayub, Muhammad, Korczak, Daphne J., Birken, Catherine S.“…OBJECTIVE: To determine whether specific forms of screen use (television [TV] or digital media, video games, electronic learning, and video-chatting time) were associated with symptoms of depression, anxiety, conduct problems, irritability, hyperactivity, and inattention in children and youth during COVID-19. …”
Publicado 2021
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3787por Rudolf, Kevin, Soffner, Markus, Bickmann, Peter, Froböse, Ingo, Tholl, Chuck, Wechsler, Konstantin, Grieben, Christopher“…Daily duration of playing video games (230.4 ± 159.3 min/day) and watching livestreams and videos with (102.6 ± 101.7 min/day) and without gaming content (72.9 ± 88.5 min/day) were much higher than watching regular television (18.9 ± 49.1 min/day) or reading analog media (32.1 ± 53.5 min/day). …”
Publicado 2022
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3788por Ssensamba, Jude Thaddeus, Nakafeero, Mary, Musana, Hellen, Amollo, Mathew, Ssennyonjo, Aloysius, Kiwanuka, Suzanne N.“…The majority of the respondents viewed using the existing village health team and local leadership structures as key to the successful institutionalization of CBGS; leveraging community education and sensitization using radio, television, and engaging health workers, family relatives, and neighbors. …”
Publicado 2022
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3789por Chróinín, Danielle Ní, Hunter, Carol Lu, Shaw-Jones, Michaela, Duruchukwu, Esther, Huang, Frank, Ngov, Amy, Wang, Ashley, Yu, Alex, Shé, É Ní“…COVID-related information sources included television 68.9% (104/151), family/friends (54.3%), healthcare providers (24.5%), and written sources (21.2%, 32/151); 12.6% used online resources. …”
Publicado 2022
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3790por Mosha, Mary Vincent, Paulo, Heavenlight A., Msuya, Sia E., Grosskurth, Heiner, Filteau, Suzanne“…After adjusting for potential confounders, for both models: model 1 (age and sex), and model 2 (age, sex, school type, time spent walking to school, district [urban/ rural], availability of television and electronic gadgets at home and neighbourhood playground); we found no significant associations between dietary patterns and adiposity measures. …”
Publicado 2022
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3791por Afrin, Sadia, Nasrullah, Sarker Mohammad, Dalal, Koustuv, Tasnim, Zarrin, Benzadid, Md. Shadly, Humayra, Farhin, Saif-Ur-Rahman, K. M., Hawlader, Mohammad Delwer Hossain“…Age, sex, education, mother's occupation, total monthly income, playing sports, doing household chores, going out of home, watching television, using the internet, attending online classes, changing food habits, and communicating with friends had a positive significant association with mental health burdens. …”
Publicado 2022
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3792“…CONCLUSION: UK advertising legislation and broadcasting regulations intended to prevent exposure to alcohol and HFSS imagery and advertising in UK television was circumvented completely by sponsorship arrangements in the 2018 FIFA World Cup. …”
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3793por Annadurai, G., Devakumar, Balaji, Guo, Heng, Vijayakumar, R., Li, Bin, Sun, Liangling, Huang, Xiaoyong, Wang, Kai, Sun, Xiao Wei“…In addition, the CIE color coordinates of the Ba(2)Y(4.2)Eu(0.8)B(5)O(17) phosphors (x = 0.653, y = 0.345) were found to be very close to the National Television System Committee (NTSC) standard values (x = 0.670, y = 0.330) of red emission and also showed high color purity (∼94.3%). …”
Publicado 2018
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3794por Bukata, Iyasu Tadesse, Dadi, Lelisa Sena, Ayana, Andualem Mossie, Mengistu, Demelash, Yewal, Delnesa, Gizaw, Tariku Sime, Woldesenbet, Yohannes Markos“…Educational status, household wealth index, and employment showed association with knowledge of COVID-19. Government-owned television (37.3%) was the primary source of information about COVID-19 in the Jimma population. …”
Publicado 2022
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3795por Talukder, Animesh, Islam, Muhammed Nazmul, Sarker, Malabika, Goswami, Indranil, Siddiqua, Rubaiya Riya, Akter, Fahmida, Chowdhury, Srizan, Chowdhury, Imran Ahmed, Rahman, Albaab-Ur, Latif, Mahbub“…Moreover, education, household income and access to television and the internet are significantly associated with knowledge. …”
Publicado 2022
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3796por Jadnanansing, Raj, Dekker, Jack, Etwaroo, Kajal, Dwarkasing, Rudi, Lumsden, Vincent, Bipat, Robbert, Blankers, Matthijs“…The average number of visits to the website increased notably when social media advertisement campaigns were conducted (266 per month in 2018) compared to when traditional advertisements campaigns through papers, radio, and television were used (34 per month in 2019). Of the 1908 new visitors, 1418 (74.32%) were female. …”
Publicado 2022
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3797“…The most common devices were the television (87%) and the smartphone (63%). Of the children who used electronic devices, 60% exceeded the recommended screen time limit of one hour per day, 21% used devices for more than two hours per day, and 51% commenced using devices by two years of age. …”
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3798por Maurer, Debbie J., Liu, Chengyao, Xepapadaki, Paraskevi, Stanic, Barbara, Bachert, Claus, Finotto, Susetta, Gao, Ya‐Dong, Graser, Anna, Jartti, Tuomas, Kistler, Walter, Kowalski, Marek, Lukkarinen, Heikki, Pasioti, Maria, Tan, Ge, Villiger, Michael, Zhang, Luo, Zhang, Nan, Akdis, Mübeccel, Papadopoulos, Nikolaos G., Akdis, Cezmi A.“…METHODS: Weekly physical activity and daily television attendance were obtained from questionnaires at inclusion of the PreDicta study. …”
Publicado 2021
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3799“…RESULT: Breast self-examination was practiced by 43.6% of female secondary school teachers. Television and radio were the commonest sources of information about breast cancer and breast self-examination. …”
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3800“…Some of the major predictors were women years of education (0.45 units, 95% CI: 0.27–0.64), spouse years of education (0.16 units, 95% CI: -0.02–0.34), current working status (0.17 units, 95% CI: 0.10–0.34), access to Television (0.50 units, 95% CI: 0.28–0.72), and place of residence (0.37 units, 95% CI: 0.22–0.72). …”
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