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  1. 4981
    “…The primary outcome measure was self-reported HL; it consisted of a merged category of people who rated their hearing as fair or poor on a five-point Likert scale (excellent, very good, good, fair or poor) or responded positively when asked whether they find it difficult to follow a conversation if there is background noise (e.g. noise from a TV, a radio or children playing). RESULTS: A marked elevation in HL prevalence (10.2%) independent of the age of the participants was observed in England in 2002–2017. …”
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    Regional patterns and trends of hearing loss in England: evidence from the English longitudinal study of ageing (ELSA) and implications for health policy
  2. 4982
    “…Therefore, it is crucial to track adherence responses towards the COVID-19 preventive measures, scale up the community’s awareness of COVID-19 prevention and mitigation strategies through appropriate information outlets, mainstream media, and rely on updating information from TV, radio, and health care workers about COVID-19.…”
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    Adherence towards COVID-19 mitigation measures and its associated factors among Gondar City residents: A community-based cross-sectional study in Northwest Ethiopia
  3. 4983
    “…Drink Less is an alcohol reduction app that received national media coverage in the UK caused by celebrity influence (a male TV and radio national broadcaster, aged 51). Our aim was to compare users who discovered the app before and after this coverage. …”
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    The impact of celebrity influence and national media coverage on users of an alcohol reduction app: a natural experiment
  4. 4984
    “…The main outcome measures of prevalence of sport participation and watching TV were only available for respondents. The framework consisted of four steps: 1) investigating the sociodemographic determinants of responding to the survey and the difference in response over time between sociodemographic groups; 2) estimating variation in health behaviour over time; 3) comparing weighted and unweighted prevalence estimates of health behaviour over time; and 4) comparing associations between sociodemographic determinants and health behaviour over time. …”
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    A framework for exploring non-response patterns over time in health surveys
  5. 4985
    “…The primary sources of information sought about COVID in descending order were transplant providers (29%), TV news (28%), and the internet (15%). Mean total CSS scores were 31.8 (17.8). …”
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    COVID-19 Related Stress among Lung Transplant Recipients
  6. 4986
    “…FUNDING: Instituto de Salud Carlos III, Breast Cancer Now, the Breast Cancer Research Foundation, the American Association for Cancer Research, Fundació La Marató TV3, the European Union's Horizon 2020 Research and Innovation Programme, Pas a Pas, Save the Mama, Fundación Científica Asociación Española Contra el Cáncer, PhD4MDgrant of “Departament de Salut”, exp SLT008/18/00122, Fundación SEOM and ESMO. …”
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    Oestrogen receptor activity in hormone-dependent breast cancer during chemotherapy
  7. 4987
    por Macur, Mirna, Pontes, Halley M.
    Publicado 2021
    “…These were mostly males (n = 42, 87.5%), and their preferred leisure activities involved more screen time activities (e.g., watching TV, playing video games, using social media). Moreover, ‘high risk gamers’ showed significantly lower levels of self-control compared to ‘low risk gamers’, and poorer understanding with their parents. …”
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    Internet Gaming Disorder in adolescence: investigating profiles and associated risk factors
  8. 4988
    “…Compared with the control group, the micro-CT parameters of BMD, BV/TV, TB. N, and TB. Th were significantly higher. …”
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    Experimental study of the effects of hypoxia simulator on osteointegration of titanium prosthesis in osteoporotic rats
  9. 4989
    “…Listening to the radio and watching TV were associated with increased maternal healthcare utilisation. …”
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    Individual and contextual factors associated with maternal healthcare utilisation in Mali: a cross-sectional study using Demographic and Health Survey data
  10. 4990
    “…Eight comparisons from 6 studies reported the outcomes of bone volume/tissue volume (BV/TV), with an overall effect of 1.42 (95% CI 0.65–2.18, p = 0.0003, I(2) = 75%). …”
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    Does the incorporation of strontium into calcium phosphate improve bone repair? A meta-analysis
  11. 4991
    “…Coping methods such as watching TV (− 21%) or listening to music (− 15%) saw a decreased mention. …”
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    Detecting changes in help seeker conversations on a suicide prevention helpline during the COVID− 19 pandemic: in-depth analysis using encoder representations from transformers
  12. 4992
    “…Their children were also more likely to achieve MMF, MDD, and MAD with odds ratios of 2.227 (p = 0.0061), 1.222 (p = 0.0454), 1.618 (p =  < .0001), and 1.511 (p = 0.0002), respectively. Mothers who saw a TV spot about IYCFP were more likely to have greater odds of knowing when to begin complementary feeding, feeding their child a minimally diverse diet (4 food groups or more), and serving a minimum acceptable diet with odds ratios of 1.335 (p = 0.0081), 1.360 (p = 0.0003), and 1.268 (p = 0.0156), respectively. …”
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    Addressing child undernutrition in Tanzania with the ASTUTE program
  13. 4993
    “…Starting from verapamil dose of 12 mg/kg/day, with dose increasing, the concentrations of P1NP, BMD, BV/TV, Tb. Th, Tb. N, maximum loads, elastic moduli, indentation moduli and hardnesses of femurs in rats in treatment group increased gradually, the concentrations of CTX-1 decreased gradually, but these parameters did not return to the level of the corresponding parameters of normal rats. …”
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    Effect of verapamil on bone mass, microstructure and mechanical properties in type 2 diabetes mellitus rats
  14. 4994
    “…url=eaDh8Hn-yZGJyDB0_h4zBenKd7qY1yX-KNxO-qU49gktQOGTJJg3slTjIbG095st4hRfprQIHRjfhfeGOZyH73y8tvSUCwMmvWbUhyix2ZKon DAP for hemodialysis. The main reasons using DAP for hemodialysis included the cost of arteriovenous access creation or maintenance in 19(50%) patients and the poor condition of vascular or cardiac function in 14 (39.5%) patients. …”
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    Direct arterial puncture for hemodialysis, a neglected but simple and valuable vascular access
  15. 4995
    “…Telephone support was associated with higher odds of no bottle at bedtime (adjusted odds ratio [AOR]: 2.99; 95% CI: 2.01 to 4.47), family meals (AOR: 2.05; 95% CI: 1.26 to 3.33), drinking from a cup (AOR: 1.89; 95% CI: 1.24 to 2.88), less screen time (<1 h/day) (AOR: 1.56; 95% CI: 1.10 to 2.23) and not eating dinner in front of the TV (AOR: 1.50; 95% CI: 1.09 to 2.06). SMS support was also associated with higher odds of no bottle at bedtime (AOR 2.30, 95% CI: 1.58 to 3.33) than the control. …”
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    Effects of telephone support or short message service on body mass index, eating and screen time behaviours of children age 2 years: A 3‐arm randomized controlled trial
  16. 4996
    “…Significant correlations were found between volume of sucrose intake and bone volume/tissue volume (BV/TV) (p = 0.019) and elastic absorption energy (p = 0.001) in the fluoxetine only group. …”
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    Fluoxetine improves bone microarchitecture and mechanical properties in rodents undergoing chronic mild stress – an animal model of depression
  17. 4997
    “…Many had adequate access to COVID-19 information (69.0%) and their main sources were the Ministry of Health webpage and ordinary media (radio/TV). CONCLUSION: Cancer patients were primarily concerned about fulfilling their planned care and COVID-19 infection was less appreciated. …”
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    Impact of COVID-19 pandemic on cancer care: A cross-sectional study of Egyptian patients’ perspectives and concerns
  18. 4998
    por Whiting, Stephen, Buoncristiano, Marta, Gelius, Peter, Abu-Omar, Karim, Pattison, Mary, Hyska, Jolanda, Duleva, Vesselka, Milanović, Sanja Musić, Zamrazilová, Hana, Hejgaard, Tatjana, Rasmussen, Mette, Nurk, Eha, Shengelia, Lela, Kelleher, Cecily C, Heinen, Mirjam M, Spinelli, Angela, Nardone, Paola, Abildina, Akbota, Abdrakhmanova, Shynar, Aitmurzaeva, Gulmira, Usuopva, Zhamyila, Pudule, Iveta, Petrauskiene, Aušra, Angelo, Victoria Farrugia Sant’, Kujundzic, Enisa, Popovic, Stevo, Fismen, Anne-Siri, Bergh, Ingunn Holden, Fijalkowska, Anna, Rito, Ana Isabel, Cucu, Alexandra, Brinduse, Lacramioara Aurelia, Peterkova, Valentina, Gualtieri, Andrea, García-Solano, Marta, Gutiérrez-González, Enrique, Abdurrahmonova, Zulfinissio, Boymatova, Khadichamo, Yardim, Nazan, Tanrygulyyeva, Maya, Weghuber, Daniel, Schindler, Karin, Stojisavljević, Dragana, Hadžiomeragić, Aida Filipović, Ionnaidu, Eliza Markidou, Ahrens, Wolfgang, Hassapidou, Maria, Kovacs, Viktoria Anna, Ostojic, Sergej M, Ticha, Lubica, Starc, Gregor, Jonsson, Kenisha Russell, Spiroski, Igor, Rutter, Harry, Mendes, Romeu, Williams, Julianne, Rakovac, Ivo, Breda, João
    Publicado 2022
    “…Pooled analysis showed that: one in two children walked or cycled to school every day; one in two children were members of a sport or dancing club; around 40 % of children spent at least two hours per day watching TV or using electronic devices; around four in five children were actively or vigorously playing each day; around 88 % of children slept for at least nine hours per night. …”
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    S02-1 Physical activity and sedentary behaviour of children aged 6-9 in Europe: an analysis within the Childhood Obesity Surveillance Initiative (COSI)
  19. 4999
    por Milanovic, Sanja Music, Buoncristiano, Marta, Križan, Helena, Rathmes, Giulia, Williams, Julianne, Hyska, Jolanda, Duleva, Vesselka, Zamrazilová, Hana, Hejgaard, Tatjana, Jørgensen, Maja Bæksgaard, Salanave, Benoît, Shengelia, Lela, Kelleher, Cecily C, Spinelli, Angela, Nardone, Paola, Abdrakhmanova, Shynar, Usupova, Zhamilya, Pudule, Iveta, Petrauskiene, Ausra, Sant'Angelo, Victoria Farrugia, Kujundžic, Enisa, Fijałkowska, Anna, Rito, Ana Isabel, Cucu, Alexandra, Brinduse, Lacramioara Aurelia, Peterkova, Valentina, Gualtieri, Andrea, García-Solano, Marta, Gutiérrez-González, Enrique, Boymatova, Khadichamo, Yardim, Mahmut S, Tanrygulyyeva, Maya, Melkumova, Marina, Weghuber, Daniel, Nurk, Eha, Mäki, Päivi, Bergh, Ingunn Holden, Ostojic, Sergej M, Jonsson, Kenisha Russell, Spiroski, Igor, Rutter, Harry, Ahrens, Wolfgang, Rakovac, Ivo, Whiting, Stephen, Breda, João
    Publicado 2022
    “…Among these, the paper focused on the following behaviours: Transportation to and from schools, Time spent on practising sports, Time spent on actively/vigorously playing, Time spent watching TV or using electronic devices and Hours of sleep per night. …”
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    S02-2 Socioeconomic determinants of physical activity, sleep and screen time among children aged 6-9 years of age in Europe
  20. 5000
    “…According to the logistic regression model, the odds ratio of smoking increased during the pandemic, whereas the odds ratio of TV watching decreased. This finding was statistically significant by age, gender, education level, country of residence, and work status. …”
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    Impact of COVID-19 lockdown on smoking (waterpipe and cigarette) and participants' BMI across various sociodemographic groups in Arab countries in the Mediterranean Region
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