Background: Prior research has found that television viewing is associated with poor diet quality, though little is known about its long-term impact on diet, particularly during adolescence. This study examined the associations between television viewing behavior with dietary intake five years later.
Methods: Survey data, which included television viewing time and food frequency questionnaires, were analyzed for 564 middle school students (younger cohort) and 1366 high school students (older cohort) who had complete data available at Time 1 (1998-1999) and five years later at Time 2 (mean age at Time 2, 17.2 +/- 0.6 and 20.5 +/- 0.8 years, respectively). Regression models examined longitudinal associations between Time 1 television viewing behavior and Time 2 dietary intake adjusting for sociodemographic characteristics, Time 1 dietary intake, and Time 2 total daily energy intake.
Results: Respondents were categorized as limited television users (<2 hours/daily), moderately high television viewers (2-5 hours/daily), and heavy television viewers (>/=5 hours/daily). Among the younger cohort, Time 1 heavy television viewers reported lower fruit intake and higher sugar-sweetened beverage consumption than the other two groups. Among the older cohort, watching five or more hours of television per day at Time 1, predicted lower intakes of fruits, vegetables, whole grain and calcium-rich foods, and higher intakes of trans fat, fried foods, fast food menu items, snack products, and sugar-sweetened beverages (products commonly advertised on television) five years later.
Conclusion: Television viewing in middle and high school predicted poorer dietary intake five years later. Adolescents are primary targets of advertising for fast food restaurants, snack foods, and sugar-sweetened beverages, which may influence their food choices. Television viewing, especially during high school, may have long-term effects on eating choices and contribute to poor eating habits in young adulthood.
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http://dx.doi.org/10.1186/1479-5868-6-7 | DOI Listing |
J Neural Eng
January 2025
The University of Chicago Biological Sciences Division, Department of Organismal Biology & Anatomy, Chicago, Illinois, 60637, UNITED STATES.
Objective: As brain-computer interface (BCI) research advances, many new applications are being developed. Tasks can be performed in different virtual environments, and whether a BCI user can switch environments seamlessly will influence the ultimate utility of a clinical device. Approach: Here we investigate the importance of the immersiveness of the virtual environment used to train BCI decoders on the resulting decoder and its generalizability between environments.
View Article and Find Full Text PDFBMC Public Health
January 2025
Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Background: Birth-related mortality is significantly increased by home births without skilled medical assistance during delivery, presenting a major risk to the public's health. The objective of this study is to predict home delivery and identify the determinants using machine learning algorithm in sub-Saharan African.
Methods: This study used design science approaches.
Nutrients
January 2025
School of Psychology, Western Sydney University, Sydney, NSW 2751, Australia.
: Television viewing has been linked with increased weight and obesity, likely through decreased physical activity associated with sitting and viewing television, as well as increased intake of food, likely through reduced awareness of eating and intake behaviours. This review sought to determine the effects of television viewing on energy intake relative to the absence of television. : We adhered to the PRISMA guidelines and pre-registered this review in PROSPERO (CRD42023493092).
View Article and Find Full Text PDFHealthcare (Basel)
December 2024
Department of Physical Therapy, Sun Moon University, Asan 31460, Republic of Korea.
Although there are studies on TV viewing and the health status of elderly, they do not present direct associations with specific variables. The aim of this study was to determine correlations between TV viewing variables and elderly health variables in older adults living alone. Data were collected from 50 elderly individuals with an average age of 82.
View Article and Find Full Text PDFFront Neurosci
December 2024
Munsell Color Science Laboratory, Rochester Institute of Technology, Rochester, NY, United States.
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