The Association of Internet Use Intensity and Lifestyle Behaviors During the COVID-19 Pandemic: A Cross-Sectional Study in Chinese Adults. Wang, Y., Xu, J., & Xie, T. Frontiers in Public Health, 10:934306, July, 2022.
The Association of Internet Use Intensity and Lifestyle Behaviors During the COVID-19 Pandemic: A Cross-Sectional Study in Chinese Adults [link]Paper  doi  abstract   bibtex   
The COVID-19 pandemic substantially increased the intensity of internet use in humans, which has made public opinion around health and public perceptions of it more vital, and this phenomenon has had a significant impact on human lifestyle behavior. This study used cross-sectional data during the COVID-19 pandemic to explore how internet use intensity influenced lifestyle behaviors among adults, and compared the differences between samples of different ages. The findings showed that the internet use intensity among adults increased the probability of physical activity, staying up late, and high-quality eating behaviors, and that they had a statistically significant positive association. Such associations were also found in independent younger, middle-aged, and older samples. However, the internet use intensity elevated the probability of body weight gain only in the independent samples of younger, middle-aged, and older adults. Besides, internet use intensity was able to increase the probability of smoking & drinking only among the younger sample. Notably, the effect of internet use intensity on lifestyle behaviors, including body weight gain, physical activity, staying up late, and a high-quality diet, was strongest among the elderly, followed by the middle-aged, and weakest among the younger. In the process of rural and urban governance regarding citizens' health, public health agencies should remind citizens to spend a reasonable amount of time on internet use to reduce the probability of unhealthy lifestyle behaviors and improve their physical health.
@article{wang_association_2022,
	title = {The {Association} of {Internet} {Use} {Intensity} and {Lifestyle} {Behaviors} {During} the {COVID}-19 {Pandemic}: {A} {Cross}-{Sectional} {Study} in {Chinese} {Adults}},
	volume = {10},
	issn = {2296-2565},
	shorttitle = {The {Association} of {Internet} {Use} {Intensity} and {Lifestyle} {Behaviors} {During} the {COVID}-19 {Pandemic}},
	url = {https://www.frontiersin.org/articles/10.3389/fpubh.2022.934306/full},
	doi = {10.3389/fpubh.2022.934306},
	abstract = {The COVID-19 pandemic substantially increased the intensity of internet use in humans, which has made public opinion around health and public perceptions of it more vital, and this phenomenon has had a significant impact on human lifestyle behavior. This study used cross-sectional data during the COVID-19 pandemic to explore how internet use intensity influenced lifestyle behaviors among adults, and compared the differences between samples of different ages. The findings showed that the internet use intensity among adults increased the probability of physical activity, staying up late, and high-quality eating behaviors, and that they had a statistically significant positive association. Such associations were also found in independent younger, middle-aged, and older samples. However, the internet use intensity elevated the probability of body weight gain only in the independent samples of younger, middle-aged, and older adults. Besides, internet use intensity was able to increase the probability of smoking \& drinking only among the younger sample. Notably, the effect of internet use intensity on lifestyle behaviors, including body weight gain, physical activity, staying up late, and a high-quality diet, was strongest among the elderly, followed by the middle-aged, and weakest among the younger. In the process of rural and urban governance regarding citizens' health, public health agencies should remind citizens to spend a reasonable amount of time on internet use to reduce the probability of unhealthy lifestyle behaviors and improve their physical health.},
	urldate = {2022-07-15},
	journal = {Frontiers in Public Health},
	author = {Wang, Yangyang and Xu, Jian and Xie, Tian},
	month = jul,
	year = {2022},
	pmcid = {PMC9326102},
	pmid = {35910876},
	keywords = {COVID-19},
	pages = {934306},
}

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