Association of sedentary behaviors with visual acuity among primary school students: a cohort study
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摘要:
目的 探究小学生静态行为与视力变化的关联性,为学生视力不良防控工作提供参考依据。 方法 采用分层整群随机抽样的方法,于2017年抽取广州市5所小学,纳入一至四年级学生4 969名,并于2年后进行随访。采用经信、效度检验的《广州市小学生体质健康监测系统问卷》收集小学生基线放学后做作业、看电视、用电脑/玩游戏、往返交通等静态行为时间。使用5 m标准对数视力表分别测量基线和随访的视力。分别采用多重线性回归和Logistic回归分析小学生静态行为与视力变化值以及视力不良的关联性。 结果 2年期间,一至四年级学生视力不良的累积发病率为48.74%。放学后做作业时间与左眼视力变化值呈负相关(β=-0.012,95%CI=-0.023~-0.002)。放学后做作业时长与视力不良的发生正性相关(OR=1.16,95%CI=1.05~1.27)。静态行为总时长、视屏时间、往返交通时间与视力变化相关均无统计学意义(P值均>0.05)。 结论 静态行为中的放学后做作业时间增加与小学生视力降低相关,合理减轻课业负担有利于视力保护。 Abstract:Objective To examine the association of sedentary behaviors with visual acuity among primary school children, and to provide a reference basis for the prevention and control of poor vision. Methods Using stratified random cluster sampling method, a total of 4 969 students in grade 1-4 were selected from 5 primary schools in Guangzhou in 2017, and then were followed up in 2019. A validated questionnaire was used to collect data on children's sedentary behaviors, including doing homework, watching TV, playing computer/video games, and taking the bus/car between home and school. Visual acuity was measured in the baseline and the follow-up using a 5 m standard logarithmic visual acuity chart. Multiple linear regression and Logistic regression were conducted to analyze the relationship between sedentary behaviors and visual changes. Results The two-year cumulative incidence of poor vision was 48.74%. Homework time was inversely associated with visual acuity of left eye(β=-0.012, 95%CI=-0.023--0.002). Homework time was positively correlated with poor vision(OR=1.16, 95%CI=1.05-1.27). However, total sedentary time, screen time and bus/car time were not statistically associated with changes in visual acuity(P>0.05). Conclusion Increased homework time was associated with poorer vision in primary school students. Interventions to reduce the academic burden should be taken. -
Key words:
- Behavior /
- Vision, low /
- Cohort studies /
- Regression analysis /
- Students
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表 1 广州市小学生静态行为对视力变化值影响的多重线性回归分析(n=4 969)
Table 1. Multiple linear regression of sedentary behaviors with changes of visiual acvcity among primary school students(n=4 969)
静态行为/(h·d-1) 左眼视力变化值 右眼视力变化值 β值(β值95%CI) P值 β值(β值95%CI) P值 放学后做作业 模型1 -0.012(-0.021~-0.002) 0.017 -0.011(-0.020~-0.001) 0.034 模型2 -0.012(-0.023~-0.002) 0.022 -0.007(-0.017~0.004) 0.210 看电视 模型1 -0.010(-0.026 ~ 0.006) 0.231 -0.003(-0.020~0.013) 0.686 模型2 -0.004(-0.021 ~ 0.014) 0.661 0.000(-0.018~0.018) 0.981 用电脑/玩游戏 模型1 -0.026(-0.046~-0.005) 0.013 -0.021(-0.041~0.000) 0.055 模型2 -0.021(-0.043~0.002) 0.075 -0.013(-0.036~0.010) 0.268 往返交通 模型1 0.019(-0.002~0.040) 0.071 0.004(-0.018~0.025) 0.736 模型2 0.015(-0.007~0.037) 0.179 0.000(-0.023~0.022) 0.983 静态行为总时长 模型1 -0.008(-0.015~-0.001) 0.018 -0.007(-0.014~-0.001) 0.032 模型2 -0.007(-0.015~0.000) 0.053 -0.005(-0.012~0.003) 0.206 视屏时间 模型1 -0.012(-0.023~-0.001) 0.033 -0.007(-0.018~0.004) 0.194 模型2 -0.008(-0.020~0.004) 0.211 -0.004(-0.016~0.009) 0.544 注: 模型1未进行调整; 模型2调整基线年龄、性别、父母文化程度、家庭人均月收入、父母是否近视、户外活动时间、睡眠时间。 表 2 小学生静态行为时间与新发视力不良关联的Logistic回归分析(n=2 390)
Table 2. Logistic regression of sedentary behaviors with poon vision among primary school students(n=2 390)
静态行为/(h·d-1) OR值(OR值95%CI) P值 放学后做作业 模型1 1.13(1.04~1.23) 0.00 模型2 1.16(1.05~1.27) 0.00 看电视 模型1 0.94(0.82~1.07) 0.33 模型2 0.93(0.80~1.08) 0.34 用电脑/玩游戏 模型1 1.03(0.84~1.20) 0.97 模型2 1.09(0.90~1.32) 0.40 往返交通 模型1 0.89(0.75~1.07) 0.22 模型2 0.97(0.80~1.18) 0.75 静态行为总时长 模型1 1.03(0.98~1.09) 0.25 模型2 1.06(1.00~1.13) 0.06 视屏时间 模型1 0.97(0.88~1.06) 0.52 模型2 0.98(0.89~1.09) 0.82 注: 模型1未进行调整; 模型2调整基线年龄、性别、父母文化程度、家庭人均月收入、父母是否近视、户外活动时间、睡眠时间。 -
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