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Wan B, Peng-Li D, Chen J, Xu P, Sun D, Chen Q, Li J, Wang M, Zheng S, Fan L, Wu X, Hu J, Chen J, Wang Z. The effect of secondhand smoke exposure on self-satisfaction and perceived freedom of life choice. JOURNAL OF AMERICAN COLLEGE HEALTH : J OF ACH 2024; 72:439-445. [PMID: 35157562 DOI: 10.1080/07448481.2022.2039157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 07/05/2021] [Accepted: 11/28/2021] [Indexed: 06/14/2023]
Abstract
Objective: The present study aims to examine whether secondhand smoke exposure (SHSE) in university students can affect three indices of self-satisfaction related to depression as indiced by appearance, weight, and freedom of life choice. Participants: We collected data from 740 nonsmoking students in the summer of 2018, of which 57.84% were exposed to secondhand smoke. Methods: Depressive symptoms, SHSE, smoking status, weight satisfaction, appearance satisfaction, and freedom of life choice were self-reported via a questionnaire. Results: The generalized linear analyses revealed that SHSE was linked to lower scores of perceived freedom of life choice but not significantly associated with weight nor appearance satisfaction. The mediation analyses indicated that perceived freedom of life choice fully mediated the association between SHSE and depressive symptoms. Conclusions: These findings shed light on the importance of SHSE and its effects on mental health in university students. Preventive strategies should therefore locally target university campuses.
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Affiliation(s)
- Bin Wan
- School of Public Health, Sun Yat-sen University, Guangzhou, China
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Danni Peng-Li
- Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Beijing China & Aarhus Denmark, Sino-Danish Center for Education and Research, Beijing, China
- Department of Food Science, Aarhus University, Aarhus, Denmark
| | - Juan Chen
- School of Public Health, Peking University, Beijing, China
| | - Peilin Xu
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Dong Sun
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Qi Chen
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jinyue Li
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Mengxin Wang
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Shuyu Zheng
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Liwei Fan
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Xusen Wu
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Junqiu Hu
- School of Nursing, Sun Yat-sen University, Guangzhou, China
| | - Jiajie Chen
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zengjian Wang
- School of Psychology, South China Normal University, Guangzhou, China
- Key Laboratory of Brain, Cognition and Education Sciences, South China Normal University, Ministry of Education, Guangzhou, China
- Center for Studies of Psychological Application, South China Normal University, Guangzhou, China
- Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
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Shi J, Huang J, Guo M, Tian L, Wang J, Wong TW, Webster C, Leung GM, Ni MY. Contributions of residential traffic noise to depression and mental wellbeing in Hong Kong: A prospective cohort study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 338:122641. [PMID: 37813145 DOI: 10.1016/j.envpol.2023.122641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 09/25/2023] [Accepted: 09/26/2023] [Indexed: 10/11/2023]
Abstract
Prior studies on the association between traffic noise and mental health have been mostly conducted in settings with lower population densities. However, evidence is lacking in high population-density settings where traffic noise is more pervasive and varies by topography and the vertical elevation of the residential unit. This study aimed to assess the mental health impact of residential traffic noise in one of the world's most urbanised populations. Data were analysed from 13,401 participants aged ≥15 years in a prospective cohort in Hong Kong from 2009 to 2014. Residential traffic noise level was estimated using 3D-geocoding and validated models that accounted for sound propagation in a highly vertical landscape. The 24-h day-night exposure to traffic noise, denoted as Ldn, was estimated with a 10-dB(A) penalty for night hours. Probable depression and mental wellbeing were assessed using the Patient Health Questionnaire-9 and the Short Form Health Questionnaire SF-12v2, respectively. Mixed effect regressions with random intercepts were used to examine the association between traffic noise and mental health outcomes. Residential road traffic noise (for each increment of 10 A-weighted decibels [dB(A)] 24-h average exposure) was associated with probable depression (odds ratio (OR) = 1.17, 95% CI: 1.05, 1.31), and poorer mental wellbeing (mean difference = -0.19, 95% CI: 0.31, -0.06), adjusting for sociodemographics, smoking, body mass index, self-reported health, proximity to green space, and neighbourhood characteristics (average household income, population density, and Gini coefficient). The results were robust to further adjustment for air pollution. In stratified analyses, residential traffic noise was associated with probable depression and poorer mental wellbeing among students and individuals aged 15-34 years. Residential traffic noise was associated with probable depression and poorer mental wellbeing in a highly urbanised setting. As traffic noise is increasing in urban settings, the public health impact of noise pollution could be substantial.
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Affiliation(s)
- Jian Shi
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; School of Nursing, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianxiang Huang
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Hong Kong SAR, China; Urban Systems Institute, The University of Hong Kong, Hong Kong SAR, China
| | - Mengdi Guo
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Hong Kong SAR, China; Department of Architecture, School of Architecture, Tianjin University, Tianjin, China
| | - Linwei Tian
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Urban Systems Institute, The University of Hong Kong, Hong Kong SAR, China
| | - Jennifer Wang
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Tze Wai Wong
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Chris Webster
- Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Hong Kong SAR, China; Urban Systems Institute, The University of Hong Kong, Hong Kong SAR, China; Institute for Data Science, The University of Hong Kong, Hong Kong SAR, China
| | - Gabriel M Leung
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science Park, Hong Kong SAR, China
| | - Michael Y Ni
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China; Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Hong Kong SAR, China; Urban Systems Institute, The University of Hong Kong, Hong Kong SAR, China; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China.
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Vencloviene J, Beresnevaite M, Cerkauskaite S, Lopatiene K, Grizas V, Benetis R. The effects of weather on depressive symptoms in patients after cardiac surgery. PSYCHOL HEALTH MED 2023; 28:682-692. [PMID: 36203385 DOI: 10.1080/13548506.2022.2132411] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/10/2022]
Abstract
Patients with cardiovascular disease have depression more often than the general population does. The aim of the study was to detect the associations between the psychological state and weather variables in patients who underwent coronary artery bypass grafting or valve surgery. The prospective study was performed during 2008-2012 in Kaunas, Lithuania. The psychological state of 233 patients was assessed by using the Symptom Checklist-90-Revised instrument. The assessment was carried out at 1.5 months, 1 year, and 2 years after the surgery. A sample of 531 measurements of psychological states was used. To investigate the relationships between psychological scores and daily weather variables, a mixed linear model was used adjusting for sex, the type of surgery, age, the marital status, the presence of arterial hypertension, diabetes, major depressive disorders, dysthymic disorders, agoraphobia, smoking before surgery, and myocardial infarction in the anamnesis. The mean somatisation score and air temperature on the second day prior to the survey were found to have a negative correlation in the multivariate model. Lower mean scores of anxiety and depression were linked to hotter days (air temperature >16.25°C on the second day) that did not occur in July or August. During colder days (air temperature <0.35°C), a higher mean score of anxiety and phobic anxiety was observed. A higher mean score of somatizations, depression, and anxiety was seen on the second day after the day with wind speed ≤2.85 kt and on the day after the day with relative humidity <66%. Both a decrease and an increase in daily atmospheric pressure were associated with a higher depression score. Our results confirm that among patients after open heart surgery, psychosomatic complaints are related to some weather changes. The obtained results can help to determine the complexity of weather patterns linked to poorer psychological health.
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Affiliation(s)
- Jone Vencloviene
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.,Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | | | - Sonata Cerkauskaite
- Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.,Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Kristina Lopatiene
- Department of Orthodontics, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Vytautas Grizas
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Rimantas Benetis
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania.,Clinic of Cardiac, Thoracic and Vascular Surgery, Lithuanian University of Health Sciences, Kaunas, Lithuania
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Zhou H, Peng-Li D, Chen J, Sun D, Wan B. Early life climate and adulthood mental health: how birth seasonality influences depressive symptoms in adults. BMC Public Health 2023; 23:209. [PMID: 36721129 PMCID: PMC9887737 DOI: 10.1186/s12889-023-15145-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Revised: 12/11/2022] [Accepted: 01/27/2023] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Early life in-utero can have long-term influence on the mental health status of individuals in adulthood, such as depression. Age, gender, socio-economic status, education, and geography are demographic factors shown to be particularly vulnerable towards the development of depressive symptoms. In addition, climate risks on depression include sunlight, rain, and temperature. However, whether climate factors in early life have a long-term influence on depression related to demographic vulnerability remains unknown. Here, the present study explored the association between birth seasonality and adulthood depressive symptoms. METHODS We employed data from the project of Chinese Labour-forces Dynamic Survey (CLDS) 2016, containing the epidemiological data of depressive symptoms with a probability proportional to size cluster and random cluster sampling method in 29 provinces of China. A final sample size of 16,185 participants was included. Birth seasonality included spring (March, April, and May), summer (June, July, and August), autumn (September, October, and November), and winter (December, January, and February). RESULTS We found that born in Autumn peaked lowest rate of having depressive symptoms (16.8%) and born in Summer (vs. Autumn) had a significant higher ratio (OR = 1.14, 95%CI = 1.02, 1.29) when controlling for demographic variables. In addition, demographic odds ratio of having depressive symptoms differed between people born in different seasons, particular for age and geography. CONCLUSION Our findings suggest that birth seasonality influences the sensitive link of depressive symptoms with age and geography. It implicates early life climate environment may play a role in the development of adulthood depressive symptoms.
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Affiliation(s)
- Hao Zhou
- grid.416271.70000 0004 0639 0580Stem Cell Transplantation Laboratory, Ningbo First Hospital, Ningbo, China
| | - Danni Peng-Li
- grid.9227.e0000000119573309Institute of Psychology, Chinese Academy of Sciences, Beijing, China ,grid.410726.60000 0004 1797 8419Sino-Danish College (SDC), University of Chinese Academy of Sciences, Beijing, China ,grid.7048.b0000 0001 1956 2722Department of Food Science, Aarhus University, Aarhus, Denmark
| | - Juan Chen
- grid.43169.390000 0001 0599 1243Department of Occupational and Environmental Health, School of Public Health, Xi’an Jiaotong University Health Science Center, Xi’an, China ,grid.11135.370000 0001 2256 9319School of Public Health, Peking University, Beijing, China
| | - Dong Sun
- grid.12981.330000 0001 2360 039XSchool of Public Health, Sun Yat-sen University, Guangzhou, China ,grid.11135.370000 0001 2256 9319School of Public Health, Peking University, Beijing, China
| | - Bin Wan
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. .,International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity (IMPRS NeuroCom), Leipzig, Germany. .,School of Public Health, Sun Yat-sen University, Guangzhou, China.
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Lee S, Salvador C, Tuel A, Vicedo-Cabrera AM. Exploring the association between precipitation and hospital admission for mental disorders in Switzerland between 2009 and 2019. PLoS One 2023; 18:e0283200. [PMID: 37093854 PMCID: PMC10124868 DOI: 10.1371/journal.pone.0283200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 03/03/2023] [Indexed: 04/25/2023] Open
Abstract
While several studies proved the relationship between increasing temperatures and poor mental health, limited evidence exists on the effect of other weather factors, such as precipitation. This study assessed the impact of precipitation on hospital admissions for mental disorders in Switzerland between 2009-2019. We defined different precipitation events based on the duration (daily precipitation ≥1mm for 2, 3, or 4 days; PP.2/PP.3/PP.4) and intensity (≥90th percentile for 2 consecutive days; PEP90.2). First, we conducted aggregated time-stratified case-crossover analysis in eight main Swiss cities with distributed lag models to assess the association up to 3 days after the exposure. Then, we pooled the estimates in each city using a multivariate random effects meta-analysis for all hospital admissions and by subgroups (sex, age, diagnosis). Evidence of an association between precipitation and hospital admission for mental disorders was not found in Switzerland (PP.2: 1.003[0.978-1.029]; PP.3: 1.005[0.985-1.026]; PP.4: 0.994[0.960-1.030]; PEP90.2: 1.000[0.953-1.050]). Although the results were highly uncertain, we found an indication of increasing risks of hospital admission with increasing intensity of precipitation in warmer seasons (PP.2: 1.001[0.971-1.032] vs PEP90.2: 1.014[0.955-1.078]), while the risks of hospital admission slightly increased by the duration in colder season (PP.2: 1.009[0.981-1.039]; PP.3: 1.008[0.980-1.036]; PP.4: 1.017[0.956-1.081]). Overall, risks tend to be higher in people aged < 65 years. Duration of the events may influence more than intensity in females, while opposite patterns were observed in males. Risks tended to be larger but still uncertain for schizophrenia, mood disorders, and adult personality disorders. An indication of a negative association was found in neurotic disorders and null risks in the remaining groups. Although our findings did not show a clear association between precipitation and mental disorders, further research is required to clarify the role of precipitation and the potential implications of climate change and extreme precipitation events on mental health.
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Affiliation(s)
- Sujung Lee
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
| | - Coral Salvador
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
- Environmental Physics Laboratory (EPhysLab), Centro de Investigación Mariña, Universidade de Vigo, Ourense, Spain
| | - Alexandre Tuel
- Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
- Institute of Geography, University of Bern, Bern, Switzerland
| | - Ana Maria Vicedo-Cabrera
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
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Abbasi H. The effect of climate change on depression in urban areas of western Iran. BMC Res Notes 2021; 14:155. [PMID: 33892805 PMCID: PMC8063425 DOI: 10.1186/s13104-021-05565-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 04/10/2021] [Indexed: 11/30/2022] Open
Abstract
Objective Human is accustomed to climatic conditions of the environment where they are born and live throughout their lifetime. The aim of this study is to examine mood swings and depression caused by sudden climate changes that have not yet given the humans a chance to adapt. Results Our results showed that depression could be affected by climate change and as a result, the behavior of climatic elements and trends has damaged mental health in the western regions of Iran. By investigating the trends and changes of climatic time series and their relationship with the rate of depression in urban areas of western Iran, it can be said that climate change is probably a mental health challenge for urban populations. Climate change is an important and worrying issue that makes the life difficult. Rapid climate changes in western Iran including rising air temperature, changes in precipitation, its regime, changes cloudiness and the amount of sunlight have a negative effects on health. The results showed that type of increasing or decreasing trend, as well as different climatic elements in various seasons did not have the same effect on the rate of depression in the studied areas.
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Affiliation(s)
- Hamed Abbasi
- Department of Geography, Lorestan University, 6815144316, Khorramabad, Iran.
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