Scholarlink

Background <p>Watching 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.</p> Methods <p>This 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.</p> Results <p>The results of multifactorial logistic analysis showed that screen time of 0&lt; time ≤ 1&#xa0;h (95% confidence interval [CI]: 2.022–6.082, <i>P</i>&lt;0.05), 2&lt; time ≤ 3&#xa0;h (95% CI: 1.538–4.665, <i>P</i>&lt;0.05), 3&lt; time ≤ 4&#xa0;h (95% CI: 5.327–16.691, <i>P</i>&lt;0.05), and time&gt;4&#xa0;h (95% CI: 21.382–78.15, <i>P</i>&lt;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.</p> Conclusions <p>The 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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Association between the screen time spent watching short videos at bedtime and essential hypertension in young and middle-aged people: a cross-sectional study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年1月9日

查看全文
  • Fengde Li,
  • Fangfang Ma,
  • Shangyu Liu,
  • Le Wang,
  • Lishuang Ji,
  • Mingqi Zheng,
  • Gang Liu

摘要

Background

Watching 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.

Methods

This 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.

Results

The 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.

Conclusions

The 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.