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201. Recent trends and disparities in 24-hour movement behaviors among US youth with mental, behavioral and neurodevelopmental conditions.

202. The association between depressive symptoms and overweight or obesity in prepubertal children: Findings from the QUALITY cohort.

203. Childhood internalizing, externalizing and attention symptoms predict changes in social and nonsocial screen time.

204. From classrooms to controllers: how school closures shaped children's video gaming habits.

205. The moderating effect of access to food facilities and recreational activity space on mHealth multiple health behavior change intervention.

206. Is the Whole Greater Than the Sum of its Parts? Aggregation of Sports Events as a Driver of Coverage of (the) European Championships on German TV News Shows.

207. Eating disorders in pediatric population, analysis of some of the most common risk factors.

208. The Impacts of COVID-19 Restrictions on Physical Activity in Children and Youth: A Systematic Review of Qualitative Evidence.

209. Changes in Pediatric Movement Behaviors During the COVID-19 Pandemic by Stages of Lockdown in Ontario, Canada: A Longitudinal Cohort Study.

210. Scrolling through adolescence: unveiling the relationship of the use of social networks and its addictive behavior with psychosocial health

211. The impact of increased computer screen time during the COVID-19 pandemic on the occurrence of upper part of musculoskeletal diseases among health personnel

212. Passively sensing smartphone use in teens with rates of use by sex and across operating systems

213. Children’s screen time and psychosocial symptoms at 5 years of age – the role of parental factors

214. Screen time in preschool-aged children

215. A Cross-sectional Study of Mental Health Effects of Excessive Screen Time and Social Media Use among Indian Adolescents and Young Adults

216. Factores asociados a afecciones oftalmológicas en un grupo de estudiantes universitarios de la ciudad de Medellín, prepandemia y pandemia, 2021

217. Young children’s screen habits and first-time parents’ reflections on screen use in socioeconomically disadvantaged Swedish settings: a mixed methods study

218. Analysis of the associations between moderate-to-vigorous physical activity and screen time on psychological symptoms among university students: a cross-sectional survey based on six geographic regions in China

219. Social Media Use and Sleep Quality Among Secondary School Students in Aseer Region: A Cross-Sectional Study

220. The association between screen time exposure, parent depression, and development of social communication skills among preschool children in Qassim Region

221. Study on the relationship and related factors between physical fitness and health behavior of preschool children in southwest China

222. Association between increased screen time, sedentary behavior, and insomnia among Indian adults: A cross-sectional nationwide online survey

223. The impact of family factors and communication on recreational sedentary screen time among primary school-aged children: a cross-sectional study

224. Association between sedentary behavior, screen time and metabolic syndrome among Chinese children and adolescents

225. The association between screen time exposure and myopia in children and adolescents: a meta-analysis

226. Barriers and enablers to promoting grandchildren’s physical activity and reducing screen time: a qualitative study with Australian grandparents

227. Possibilities of using neural network analysis in the diagnosis of dry eye syndrome

228. Barriers and enablers to bowel cancer screening participation in remote Tasmania: A qualitative study using the theoretical domains framework.

229. Compliance with the 24-hour movement behaviour guidelines among children and adolescents with disabilities: a systematic review and meta-analysis.

230. Scrolling through adolescence: unveiling the relationship of the use of social networks and its addictive behavior with psychosocial health.

231. Digital breast tomosynthesis in breast cancer screening: an ethical perspective.

232. The effects of goal setting, notification alerts, and sharing results with peers on smartphone usage.

233. Exploring the relationship between media use and depressive symptoms among gender diverse youth: findings of the Mental Health Days Study.

234. Examining the Link Between Parental Involvement and Academic Performance of Children with Intellectual Disability towards an Intervention Plan.

235. Risk factors for the time to development of retinopathy of prematurity in premature infants in Iran: a machine learning approach.

236. The relationship between lifestyle habits and obesity among students in the Eastern province of Saudi Arabia: using the Arab Teens Lifestyle (ATLS) questionnaire.

237. Online screening for excessive daytime sleepiness: a feasibility study.

238. Nutrition and physical activity practices in family day care: A cross‐sectional survey of Australian family day care educators.

239. Risk Factors and Preventive Measures for Breast Cancer.

240. An optimal screening policy for heterogeneous items with minimal repairs.

241. Associations of meeting 24-hour movement behavior guidelines with social and emotional function in youth with ASD/ADHD.

242. Isotemporal Substitution Effects of Daily Time Use on Cardiorespiratory Fitness of Children in the OptiChild Study: A Mediation Analysis with Diet Quality.

243. Relationship between Pain, Physical Activity, Screen Time and Age among Young Children during the COVID-19 Pandemic.

244. A latent profile analysis of rest–activity behavior patterns among community-dwelling older adults and its relationship with intrinsic capacity.

245. Parental Perception of Infants’ use of Mobile Devices: A Qualitative Exploration.

246. Cervical screening participation and access facilitators and barriers for people with intellectual disability: a systematic review and meta-analysis.

247. An isochronic substitution benefit study of the eects of screen time on the cognitive abilities of 3–6 children...

248. Passively sensing smartphone use in teens with rates of use by sex and across operating systems.

249. Unveiling Patterns of Nomophobia Using Data Mining Techniques.

250. Replicability, adaptability and long-term impact of the 'Healthy Youngsters, Healthy Dads' program in Newcastle, Australia.

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