ArticleBMC public health2025
Association between the screen time spent watching short videos at bedtime and essential hypertension in young and middle-aged people: a cross-sectional study.
Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundWatching short videos is an integral part of the daily lives of young and middle-aged people. Nevertheless, the correlation between the screen time spent watching short videos at bedtime and essential hypertension in young and middle-aged people remains unclear. We aimed to explore the correlation between the screen time spent watching short videos at bedtime and essential hypertension among young and middle-aged people and construct a nomogram prediction model for assessing the probability of developing essential hypertension for these age groups.
methodsThis study included 4318 young and middle-aged people who underwent medical examinations at Hengshui People's Hospital between January 2023 and September 2023. The collected data, including self-reported screen time spent watching short videos at bedtime and general information, were partitioned into a training set and a test set, with the former being divided into hypertensive and non-hypertensive groups. R programming language was used for statistical analysis and processing.
resultsThe results of multifactorial logistic analysis showed that screen time of 0< time ≤ 1 h (95% confidence interval [CI]: 2.022-6.082, P<0.05), 2< time ≤ 3 h (95% CI: 1.538-4.665, P<0.05), 3< time ≤ 4 h (95% CI: 5.327-16.691, P<0.05), and time>4 h (95% CI: 21.382-78.15, P<0.05) were independently associated with essential hypertension among young and middle-aged people. Sex, age, screen time, occupation, high-sodium diet, physical activity, sleep, overweight or obesity, diabetes or glucose tolerance abnormality, dyslipidaemia, hyperuricaemia, and family history of hypertension were screened to construct a nomogram prediction model. The model had an area under the curve of the participant's work characteristics of 0.934 (95% CI: 0.925-0.943), along with a preferably fitted calibration curve. After model validation using the test dataset, the area under the working characteristic curve for participants was 0.911 (95% CI: 0.895-0.928), and it was a well-fitted calibration plot.
conclusionsThe screen time spent watching short videos at bedtime was significantly associated with essential hypertension in young and middle-aged people, and the nomogram was a good predictor of the risk of essential hypertension among young and middle-aged people.
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