汪云, 黄绯绯, 贾小芳, 张晓帆, 王惠君, 张兵, 王志宏. 中国四省中老年人不同类型休闲静坐行为与抑郁症状的关联[J]. 环境与职业医学, 2020, 37(12): 1141-1148. DOI: 10.13213/j.cnki.jeom.2020.20348
引用本文: 汪云, 黄绯绯, 贾小芳, 张晓帆, 王惠君, 张兵, 王志宏. 中国四省中老年人不同类型休闲静坐行为与抑郁症状的关联[J]. 环境与职业医学, 2020, 37(12): 1141-1148. DOI: 10.13213/j.cnki.jeom.2020.20348
WANG Yun, HUANG Fei-fei, JIA Xiao-fang, ZHANG Xiao-fan, WANG Hui-jun, ZHANG Bing, WANG Zhi-hong. Correlations between different types of leisure sedentary behaviors and depressive symptoms among middle-aged and elderly people in four provinces of China[J]. Journal of Environmental and Occupational Medicine, 2020, 37(12): 1141-1148. DOI: 10.13213/j.cnki.jeom.2020.20348
Citation: WANG Yun, HUANG Fei-fei, JIA Xiao-fang, ZHANG Xiao-fan, WANG Hui-jun, ZHANG Bing, WANG Zhi-hong. Correlations between different types of leisure sedentary behaviors and depressive symptoms among middle-aged and elderly people in four provinces of China[J]. Journal of Environmental and Occupational Medicine, 2020, 37(12): 1141-1148. DOI: 10.13213/j.cnki.jeom.2020.20348

中国四省中老年人不同类型休闲静坐行为与抑郁症状的关联

Correlations between different types of leisure sedentary behaviors and depressive symptoms among middle-aged and elderly people in four provinces of China

  • 摘要: 背景

    静坐行为与抑郁症状存在相关,国内有关研究还很不足。

    目的

    了解我国中老年居民主动思维休闲静坐行为(使用电脑、阅读)和被动思维休闲静坐行为(看电视)与抑郁症状的关联,为抑郁干预提供科学依据。

    方法

    研究资料来源于“神经系统疾病专病社区队列研究”2018—2019年基线调查数据,在中国选择4个省55岁及以上的中老年居民作为研究对象,通过问卷收集受访者回忆过去一年平均每天的休闲静坐时间(电视、电脑、阅读静坐时间),采用老年抑郁量表(GDS-30)评分方法评估抑郁症状。用多元线性回归分析不同类型休闲静坐时间与GDS-30评分的关系,采用多因素logistic回归分析不同类型休闲静坐时间与抑郁症状的检出风险。

    结果

    9 514名中老年人的GDS-30评分均值为(4.8±4.1)分,抑郁症状检出率为7.4%。调整了地区、年龄、性别、学历、家庭人均收入、赋闲、独居、现在吸烟、规律饮酒、膳食摄入状况、肥胖、疾病史、身体活动量、睡眠时间、其他静坐时间后,中老年人不同类型的休闲静坐时间与抑郁症状呈现不同的相关关系。对于电视静坐时间,与 < 2 h·d-1组相比,≥6 h·d-1组与更高的GDS-30评分相关,b为1.19(95% CI:0.62~1.75)。对于电脑静坐时间,与0 h·d-1组相比,>0~ < 2、≥2 h·d-1组与更低的GDS-30评分相关,b分别为-0.59(95% CI:-0.86~-0.33)和-0.84(95% CI:-1.23~-0.45)(P趋势 < 0.001);且与更低的抑郁症状检出风险相关,OR分别为0.64(95% CI:0.48~0.85)和0.60(95% CI:0.38~0.96)(P趋势 < 0.001)。对于阅读静坐时间,与0h·d-1组相比,>0~ < 1、≥1 h·d-1与更低的GDS-30评分相关,b分别为-0.63(95% CI:-1.01~-0.24)和-0.64(95% CI:-0.96~-0.22)(P趋势 < 0.001);与0 h·d-1组相比,≥1 h·d-1组与更低的抑郁症状检出风险相关,OR为0.60(95% CI:0.39~0.93)(P趋势=0.047)。对于休闲静坐总时间,与 < 3 h·d-1组相比,3~ < 6、≥6 h·d-1组与更低的GDS-30评分相关,b分别为-0.78(95% CI:-0.96~-0.60)和-0.42(95% CI:-0.73~-0.10)(P趋势 < 0.001);且与降低抑郁症状检出风险相关,OR分别为0.73(95% CI:0.60~0.88)和0.67(95% CI:0.47~0.94)(P趋势 < 0.001)。

    结论

    我国中老年人不同类型的休闲静坐行为与抑郁症状呈现不同的相关关系。高水平的主动思维静坐时间(电脑、阅读静坐时间)与抑郁评分和抑郁症状检出风险呈现负相关,但高水平的被动思维静坐时间(电视静坐时间)与抑郁评分呈正相关,休闲静坐总时间对于抑郁症状的影响与被动和主动思维静坐行为的占比分配有关系。

     

    Abstract: Background

    There is a correlation between sedentary behaviors and depressive symptoms, but domestic research in this field is still insufficient.

    Objective

    This investigation is designed to understand the relationships of mentally-active leisure sedentary behaviors (such as using computer and reading) or mentally-passive leisure sedentary behaviors (such as watching television) with depressive symptoms among middle-aged and elderly residents in China, and to provide a scientific basis for depression intervention.

    Methods

    Based on a baseline survey of "Community-based Cohort Study on Nervous System Diseases" conducted in 2018-2019, the middle-aged and elderly people aged 55 years and above were selected from four provinces in China as study subjects. The information on average daily leisure sedentary time (watching TV, using computer, and reading) in the past year was collected through questionnaires, and depressive symptoms were evaluated by the 30-item Geriatric Depression Scale (GDS-30). Multiple linear regression was used to analyze the associations between different types of leisure sedentary time and GDS-30 score. Multiple logistic regression was used to analyze the risks of depressive symptoms related to different types of leisure sedentary time.

    Results

    The mean GDS-30 score of selected 9514 middle-aged and elderly people was 4.8±4.1, and the positive rate of depressive symptoms was 7.4%. After adjusting for residence, age, gender, education, family income per capita, employment status, whether living alone, current smoking, regular drinking, dietary intake, obesity, disease history, physical activity, sleeping time, and other sedentary time, there were different correlations between different types of leisure sedentary time and depressive symptoms among the participants. For television related sedentary time, compared with the group of <2h·d-1, the group of ≥ 6h·d-1 was associated with a higher GDS-30 score, and the b was 1.19 (95%CI:0.62-1.75). For computer related sedentary time, compared with the group of 0 h·d-1, the groups of >0-<2 h·d-1 and ≥ 2 h·d-1 were associated with lower GDS-30 scores, with bs of -0.59(95%CI:-0.86﹣-0.33) and -0.84 (95%CI:-0.23﹣-0.45) (Ptrend<0.001), respectively, and were associated with lower risks of depressive symptoms, with ORs of 0.64 (95%CI:0.48-0.85) and 0.60 (95%CI:0.38-0.96) (Ptrend <0.001), respectively. For reading related sedentary time, compared with the group of 0 h·d-1, the groups of >0-<1 h·d-1 and ≥ 1 h·d-1 were associated with lower GDS-30 scores, with bs of -0.63(95%CI:-1.01﹣-0.24) and -0.64 (95%CI:-0.96﹣-0.22) (Ptrend<0.001), respectively; and compared with the group of 0h·d-1, the group of ≥ 1 h·d-1 was associated with a lower risk of depressive symptoms, with an OR of 0.60 (95% CI:0.39-0.93) (Ptrend=0.047). For total leisure sedentary time, compared with the group of <3h·d-1, the groups of 3-<6h·d-1 and ≥ 6h·d-1 were associated with lower GDS-30 scores, with bs of -0.78 (95%CI:-0.96﹣-0.60) and -0.42 (95%CI:-0.73﹣-0.10) (Ptrend<0.001), respectively, and were associated with lower risks of depressive symptoms, with ORs of 0.73 (95%CI:0.60-0.88) and 0.67 (95%CI:0.47-0.94) (Ptrend < 0.001), respectively.

    Conclusion

    There are varied correlations between different types of leisure sedentary behaviors and depressive symptoms among middle-aged and elderly people in China. Higher levels of mentally-active sedentary time (using computer or reading) are associated with lower depression scores and lower risks of depressive symptoms, but higher levels of mentally-passive sedentary time (watching TV) are associated with higher depression scores. The effect of total leisure sedentary time on depressive symptoms is correlated with the proportions of mentally-passive and mentally-active sedentary behaviors.

     

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