Residential green space structures are associated with a lower risk of bipolar disorder: A nationwide population-based study in Taiwan

被引:11
|
作者
Chang, Hao-Ting [1 ]
Wu, Chih-Da [2 ,3 ]
Wang, Jung-Der [4 ]
Chen, Po-See [5 ,6 ,7 ]
Su, Huey-Jen [1 ]
机构
[1] Natl Cheng Kung Univ, Coll Med, Dept Environm & Occupat Hlth, Tainan 70101, Taiwan
[2] Natl Cheng Kung Univ, Coll Engn, Dept Geomat, Tainan 70101, Taiwan
[3] Natl Hlth Res Inst, Natl Inst Environm Hlth Sci, Miaoli 350, Taiwan
[4] Natl Cheng Kung Univ, Coll Med, Dept Publ Hlth, Tainan 70101, Taiwan
[5] Natl Cheng Kung Univ, Natl Cheng Kung Univ Hosp, Coll Med, Dept Psychiat, Tainan 70101, Taiwan
[6] Natl Cheng Kung Univ, Coll Med, Inst Behav Med, Tainan 70101, Taiwan
[7] Natl Cheng Kung Univ Hosp, Dou Liou Branch, Dept Psychiat, Touliu 64000, Yunlin, Taiwan
关键词
Green space structures; Greenness index; Bipolar disorder; Incidence; Frailty models; STRESSFUL LIFE EVENTS; MENTAL-HEALTH; PSYCHIATRIC-DISORDERS; LAND-COVER; ENVIRONMENT; AREAS; SCHIZOPHRENIA; PREVALENCE; MORTALITY; PROSPECT;
D O I
10.1016/j.envpol.2020.115864
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Although many researchers have identified the potential psychological benefits offered by greenness, the association between green space structures and mental disorders is not well understood. The purpose of this study was to identify associations between green space structures and the incidence of bipolar disorder. To this end, we investigated 1,907,776 individuals collected from Taiwan's National Health Insurance Research Database. After a follow-up investigation from 2005 to 2016, among those with no history of bipolar disorder, 20,548 individuals were further found to be diagnosed with bipolar disorder. A geographic information system and landscape index were used to quantify three indices of green space structures: mean patch area (area and edge), mean fractal dimension index (shape), and mean proximity index (proximity). Additionally, greenness indices, the normalized difference vegetation index, and the enhanced vegetation index were used to confirm the association between greenness and incidence of bipolar disorder. These five indices were used to represent the individual's exposure according to the township of the hospital that they most frequently visited with symptoms of the common cold. Spearman's correlation analysis was performed to select variables by considering their collinearity. Subsequently, the frailty model for each index was used to examine the specific associations between those respective indices and the incidence of bipolar disorder by adjusting for related risk factors, such as socioeconomic status, metabolic syndrome, and air pollution. A negative association was identified between the mean patch area and the mean proximity index, and the incidence of bipolar disorder. In contrast, a positive association was found between the mean fractal dimension index and the incidence of bipolar disorder. We observed similar results in sensitivity testing and subgroup analysis. Exposure to green spaces with a larger area, greater proximity, lower complexity, and greener area may reduce the risk of bipolar disorder. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Risk of obstructive sleep apnea in patients with bipolar disorder: A nationwide population-based cohort study in Taiwan
    Chang, En-Ting
    Chen, Shih-Fen
    Chiang, Jen-Huai
    Wang, Ling-Yi
    Hsu, Chung-Y
    Shen, Yu-Chih
    PSYCHIATRY AND CLINICAL NEUROSCIENCES, 2019, 73 (04) : 163 - 168
  • [2] Association of asthma and bipolar disorder: A nationwide population-based study in Taiwan
    Lin, Tzu-Chin
    Lee, Charles Tzu-Chi
    Lai, Te-Jen
    Lee, Chun-Te
    Lee, Kang-Yun
    Chen, Vincent Chin-Hung
    Stewart, Robert
    JOURNAL OF AFFECTIVE DISORDERS, 2014, 168 : 30 - 36
  • [3] Bipolar disorder and the risk of fracture: A nationwide population-based cohort study
    Su, Jian-An
    Cheng, Bi-Hua
    Huang, Yin-Cheng
    Lee, Chuan-Pin
    Yang, Yao-Hsu
    Lu, Mong-Liang
    Hsu, Chung-Yao
    Lee, Yena
    McIntyre, Roger S.
    Lin, Tzu Chin
    Chen, Vincent Chin-Hung
    JOURNAL OF AFFECTIVE DISORDERS, 2017, 218 : 246 - 252
  • [4] Increased risk of gout among patients with bipolar disorder: A nationwide population-based study
    Chung, Kuo-Hsuan
    Huang, Chung-Chien
    Lin, Herng-Ching
    PSYCHIATRY RESEARCH, 2010, 180 (2-3) : 147 - 150
  • [5] Risk of hyperglycemic crisis episode in diabetic patients with bipolar disorder: A nationwide population-based cohort study
    Tsai, Chia-Lun
    Yang, Yu-Cih
    Chen, Shih-Fen
    Hsu, Chung-Y
    Shen, Yu-Chih
    JOURNAL OF AFFECTIVE DISORDERS, 2019, 257 : 281 - 286
  • [6] A Population-Based, Nationwide Longitudinal Study of Bipolar Disorder With Incident Dementia in Taiwan
    Lin, Shen-Hsiung
    Cheng, Chih-Ming
    Tsai, Shih-Jen
    Tsai, Chia-Fen
    Bai, Ya-Mei
    Su, Tung-Ping
    Li, Cheng-Ta
    Lin, Wei-Chen
    Chen, Tzeng-Ji
    Chen, Mu-Hong
    AMERICAN JOURNAL OF GERIATRIC PSYCHIATRY, 2020, 28 (05): : 530 - 541
  • [7] Risk of hypertension in patients with bipolar disorder in Taiwan: A population-based study
    Chien, I-Chia
    Lin, Ching-Heng
    Chou, Yiing-Jenq
    Chou, Pesus
    COMPREHENSIVE PSYCHIATRY, 2013, 54 (06) : 687 - 693
  • [8] Increased risk of bipolar disorder in patients with scabies: A nationwide population-based matched-cohort study
    Lin, Chien-Yu
    Chang, Fung-Wei
    Yang, Jing-Jung
    Chang, Chun-Hung
    Yeh, Chia-Lun
    Lei, Wei-Te
    Huang, Chun-Fa
    Liu, Jui-Ming
    Hsu, Ren-Jun
    PSYCHIATRY RESEARCH, 2017, 257 : 14 - 20
  • [9] A population-based study of the risk of schizophrenia and bipolar disorder associated with parent-child separation during development
    Paksarian, D.
    Eaton, W. W.
    Mortensen, P. B.
    Merikangas, K. R.
    Pedersen, C. B.
    PSYCHOLOGICAL MEDICINE, 2015, 45 (13) : 2825 - 2837
  • [10] Risk of bipolar disorder in patients with endometriosis: A nationwide population-based cohort study
    Chen, Shih-Fen
    Yang, Yu-Cih
    Hsu, Chung-Y
    Shen, Yu-Chih
    JOURNAL OF AFFECTIVE DISORDERS, 2020, 270 : 36 - 41