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Pang P, Zhou X, Hu Y, Zhang Y, He B, Xu G. Time-series analysis of meteorological factors and emergency department visits due to dog/cat bites in Jinshan area, China. PeerJ 2024; 12:e16758. [PMID: 38250715 PMCID: PMC10800098 DOI: 10.7717/peerj.16758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 12/13/2023] [Indexed: 01/23/2024] Open
Abstract
Background Meteorological factors play an important role in human health. Clarifying the occurrence of dog and cat bites (DCBs) under different meteorological conditions can provide key insights into the prevention of DCBs. Therefore, the objective of the study was to explore the relationship between meteorological factors and DCBs and to provide caution to avoid the incidents that may occur by DCBs. Methods In this study, data on meteorological factors and cases of DCBs were retrospectively collected at the Shanghai Climate Center and Jinshan Hospital of Fudan University, respectively, in 2016-2020. The distributed lag non-linear and time series model (DLNM) were used to examine the effect of meteorological elements on daily hospital visits due to DCBs. Results A total of 26,857 DCBs were collected ranging from 1 to 39 cases per day. The relationship between ambient temperature and DCBs was J-shaped. DCBs were positively correlated with daily mean temperature (rs = 0.588, P < 0.01). The relative risk (RR) of DCBs was associated with high temperature (RR = 1.450; 95% CI [1.220-1.722]). Female was more susceptible to high temperature than male. High temperature increased the risk of DCBs. Conclusions The extremely high temperature increased the risk of injuries caused by DCBs, particularly for females. These data may help to develop public health strategies for potentially avoiding the occurrence of DCBs.
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Affiliation(s)
- Pei Pang
- Department of Medical Affairs, Jinshan Hospital, Fudan University, Shanghai, China
| | - Xiaoyong Zhou
- Department of Medical Affairs, Jinshan Hospital, Fudan University, Shanghai, China
- Emergency Department, Jinshan Hospital, Fudan University, Shanghai, China
| | - Yabin Hu
- Key Lab of Health Technology Assessment, National Health Commission of the People’s Republic of China, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, China
| | - Yin Zhang
- Shanghai Meteorological Service Center, Shanghai, China
| | - Baoshi He
- Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China
| | - Guoxiong Xu
- Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, China
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Bundo M, Preisig M, Merikangas K, Glaus J, Vaucher J, Waeber G, Marques-Vidal P, Strippoli MPF, Müller T, Franco O, Vicedo-Cabrera AM. How ambient temperature affects mood: an ecological momentary assessment study in Switzerland. Environ Health 2023; 22:52. [PMID: 37430261 DOI: 10.1186/s12940-023-01003-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 06/28/2023] [Indexed: 07/12/2023]
Abstract
BACKGROUND Recent research has suggested that an increase in temperature can negatively affect mental health and increase hospitalization for mental illness. It is not clear, however, what factors or mechanisms mediate this association. We aimed to (1) investigate the associations between ambient temperatures and bad daily mood, and (2) identify variables affecting the strength of these associations (modifiers) including the time, the day of the week and the year of the mood rating, socio-demographic characteristics, sleep quality, psychiatric disorders and the personality trait neuroticism in the community. METHODS Data stemmed from the second follow-up evaluation of CoLaus|PsyCoLaus, a prospective cohort study conducted in the general population of Lausanne (Switzerland). The 906 participants rated their mood level four times a day during seven days using a cell phone app. Mixed-effects logistic regression was used to determine the association between daily maximum temperature and mood level. Participant ID was inserted as a random effect in the model, whereas the time of the day, the day of the week and the year were inserted as fixed effects. Models were controlled for several confounders (socio-demographic characteristics, sleep quality, weather parameters and air pollutants). Stratified analyses were conducted based on socio-demographic characteristics, sleep quality, presence of psychiatric disorders or a high neuroticism. RESULTS Overall, the probability of having a bad mood for the entire day decreased by 7.0% (OR: 0.93: 95% CI 0.88, 0.99) for each 5 °C increase in maximum temperature. A smaller and less precise effect (-3%; OR: 0.97: 95% CI 0.91, 1.03) was found when controlling for sunshine duration. A higher association was found in participants with bipolar disorder (-23%; OR: 0.77: 95% CI 0.51, 1.17) and in participants with a high neuroticism (-13%; OR: 0.87 95% CI 0.80, 0.95), whereas the association was reversed for participants with anxiety (20%; OR: 1.20: 95% CI 0.90, 1.59), depression (18%; OR: 1.18 95% CI 0.94, 1.48) and schizophrenia (193%; OR: 2.93 95% CI 1.17, 7.73). CONCLUSIONS According to our findings, rising temperatures may positively affect mood in the general population. However, individuals with certain psychiatric disorders, such as anxiety, depression, and schizophrenia, may exhibit altered responses to heat, which may explain their increased morbidity when exposed to high temperatures. This suggests that tailored public health policies are required to protect this vulnerable population.
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Grants
- 801076 European Union's Horizon 2020 research and innovation programme
- 3200B0-105993, 3200B0-118308, 33CSCO-122661, 33CS30-139468, 33CS30-148401, 33CS30_177535 and 3247730_204523 GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, the Swiss National Science Foundation
- 3200B0-105993, 3200B0-118308, 33CSCO-122661, 33CS30-139468, 33CS30-148401, 33CS30_177535 and 3247730_204523 GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, the Swiss National Science Foundation
- 3200B0-105993, 3200B0-118308, 33CSCO-122661, 33CS30-139468, 33CS30-148401, 33CS30_177535 and 3247730_204523 GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, the Swiss National Science Foundation
- 3200B0-105993, 3200B0-118308, 33CSCO-122661, 33CS30-139468, 33CS30-148401, 33CS30_177535 and 3247730_204523 GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, the Swiss National Science Foundation
- 3200B0-105993, 3200B0-118308, 33CSCO-122661, 33CS30-139468, 33CS30-148401, 33CS30_177535 and 3247730_204523 GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, the Swiss National Science Foundation
- 3200B0-105993, 3200B0-118308, 33CSCO-122661, 33CS30-139468, 33CS30-148401, 33CS30_177535 and 3247730_204523 GlaxoSmithKline, the Faculty of Biology and Medicine of Lausanne, the Swiss National Science Foundation
- 2018DRI01 Swiss Personalized Health Network
- 2018DRI01 Swiss Personalized Health Network
- 2018DRI01 Swiss Personalized Health Network
- 2018DRI01 Swiss Personalized Health Network
- 2018DRI01 Swiss Personalized Health Network
- 2018DRI01 Swiss Personalized Health Network
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Affiliation(s)
- Marvin Bundo
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Oeschger Center for Climate Change Research, University of Bern, Bern, Switzerland
- Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Martin Preisig
- Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Center, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | | | - Jennifer Glaus
- Department of Psychiatry, Division of Child and Adolescent Psychiatry, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Julien Vaucher
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), and University of Lausanne, Lausanne, Switzerland
- Department of Medicine and Specialties, Internal Medicine, Fribourg Hospital and University of Fribourg, Fribourg, Switzerland
| | - Gérard Waeber
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), and University of Lausanne, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital (CHUV), and University of Lausanne, Lausanne, Switzerland
| | - Marie-Pierre F Strippoli
- Department of Psychiatry, Psychiatric Epidemiology and Psychopathology Research Center, Lausanne University Hospital and University of Lausanne, Prilly, Switzerland
| | - Thomas Müller
- Translational Research Center (TRC), University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
- Privatclinic Meiringen, Bern, Switzerland
| | - Oscar Franco
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - 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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