1
|
Hébert HL, Pascal MM, Smith BH, Wynick D, Bennett DL. Big data, big consortia, and pain: UK Biobank, PAINSTORM, and DOLORisk. Pain Rep 2023; 8:e1086. [PMID: 38225956 PMCID: PMC10789453 DOI: 10.1097/pr9.0000000000001086] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 05/17/2023] [Accepted: 05/20/2023] [Indexed: 01/17/2024] Open
Abstract
Chronic pain (CP) is a common and often debilitating disorder that has major social and economic impacts. A subset of patients develop CP that significantly interferes with their activities of daily living and requires a high level of healthcare support. The challenge for treating physicians is in preventing the onset of refractory CP or effectively managing existing pain. To be able to do this, it is necessary to understand the risk factors, both genetic and environmental, for the onset of CP and response to treatment, as well as the pathogenesis of the disorder, which is highly heterogenous. However, studies of CP, particularly pain with neuropathic characteristics, have been hindered by a lack of consensus on phenotyping and data collection, making comparisons difficult. Furthermore, existing cohorts have suffered from small sample sizes meaning that analyses, especially genome-wide association studies, are insufficiently powered. The key to overcoming these issues is through the creation of large consortia such as DOLORisk and PAINSTORM and biorepositories, such as UK Biobank, where a common approach can be taken to CP phenotyping, which allows harmonisation across different cohorts and in turn increased study power. This review describes the approach that was used for studying neuropathic pain in DOLORisk and how this has informed current projects such as PAINSTORM, the rephenotyping of UK Biobank, and other endeavours. Moreover, an overview is provided of the outputs from these studies and the lessons learnt for future projects.
Collapse
Affiliation(s)
- Harry L. Hébert
- Chronic Pain Research Group, Division of Population Health and Genomics, Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom
| | - Mathilde M.V. Pascal
- Neural Injury Group, Nuffield Department of Clinical Neuroscience, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| | - Blair H. Smith
- Chronic Pain Research Group, Division of Population Health and Genomics, Ninewells Hospital & Medical School, University of Dundee, Dundee, United Kingdom
| | - David Wynick
- Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - David L.H. Bennett
- Neural Injury Group, Nuffield Department of Clinical Neuroscience, John Radcliffe Hospital, University of Oxford, Oxford, United Kingdom
| |
Collapse
|
2
|
Wang Z, Deng Y, Gao S, Lin Z, Zheng Z, Fang Q, Zhan M, Sun T, Huang G, Geng X. Association of urinary phthalate metabolites with all-cause and cardiovascular disease mortality among adults with diabetes mellitus: National Health and Nutrition Examination Survey 2005-2014. Front Public Health 2023; 11:1178057. [PMID: 37325320 PMCID: PMC10268004 DOI: 10.3389/fpubh.2023.1178057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 05/12/2023] [Indexed: 06/17/2023] Open
Abstract
Background The study regarding phthalate metabolites and mortality among diabetes mellitus (DM) is limited. We aimed to examine the association of urinary phthalate metabolites with all-cause and cardiovascular disease (CVD) mortality among adults with DM. Methods This study included 8,931 adults from the National Health and Nutrition Examination Survey (NHANES) from 2005-2006 to 2013-2014. Mortality data were linked to National Death Index public access files through December 31, 2015. Cox proportional hazard models were used to estimate hazard ratios (HR) and 95% confidences (CIs) for mortality. Results We identified 1,603 adults with DM [mean ± SE age, 47.08 ± 0.30 years; 50.5% (833) were men]. Mono-(carboxynonyl) phthalate (MCNP), mono-2-ethyl-5-carboxypentyl phthalate (MECPP), and the sum of Di (2-ethylhexyl) phthalate (DEHP) metabolites (∑DEHP) were positively associated with DM (MCNP: OR = 1.53, 95%CI = 1.16-2.01; MECPP: OR = 1.17, 95% CI = 1.03-1.32; ∑DEHP: OR = 1.14, 95% CI = 1.00-1.29). Among DM patients, mono-(3-carboxypropyl) phthalate (MCPP) was associated with a 34% (HR 1.34, 95% CI 1.12-1.61) increased risk of all-cause mortality while the HRs (95%CI) of CVD mortality were 2.02 (1.13-3.64) for MCPP, 2.17 (1.26-3.75) for mono-(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP), 2.47 (1.43-4.28) for mono-(2-ethyl-5-oxohexyl) phthalate (MEOHP), 2.65 (1.51-4.63) for MECPP, and 2.56 (1.46-4.46) for ∑DEHP, respectively. Conclusion This study is an academic exploration of the association between urinary phthalate metabolites and mortality among adults with DM, suggesting that exposure to phthalates might be associated with an increased risk of all-cause and CVD mortality in DM. These findings suggest that patients with DM should carefully use plastics products.
Collapse
Affiliation(s)
- Zhihong Wang
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Precision Medical Center, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Jinan University, Zhuhai, China
| | - Yao Deng
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Precision Medical Center, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Jinan University, Zhuhai, China
| | - Sikang Gao
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zefang Lin
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Precision Medical Center, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Jinan University, Zhuhai, China
| | - Zhixiong Zheng
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Precision Medical Center, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Jinan University, Zhuhai, China
| | - Qin Fang
- Department of Medical Affairs, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Jinan University, Zhuhai, China
| | - Meixiao Zhan
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Precision Medical Center, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Jinan University, Zhuhai, China
| | - Taoping Sun
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Precision Medical Center, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Jinan University, Zhuhai, China
| | - Guomin Huang
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Precision Medical Center, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Jinan University, Zhuhai, China
| | - Xuyang Geng
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Precision Medical Center, Zhuhai People’s Hospital, Zhuhai Hospital Affiliated with Jinan University, Jinan University, Zhuhai, China
| |
Collapse
|
3
|
Rangel T, Pham S, Senger B, Daratha K, Fitzgerald C, Mallo R, Daratha K. Pharmacologic Pain Management Trends among Adults Hospitalized with Cellulitis: An Evidence-Based Practice Project. Pain Manag Nurs 2022; 24:222-228. [PMID: 36220690 DOI: 10.1016/j.pmn.2022.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 08/15/2022] [Accepted: 09/07/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND Nurses commonly administer opioids, following "as needed" order sets, to patients hospitalized for acute pain conditions like cellulitis. Practice guidelines recommend limiting opioid administration for acute pain management. At two hospitals in the Pacific Northwest, an opioid stewardship committee was formed to align with best practice. AIMS The main objective was to describe changes to inpatient rates of opioid and non-opioid administration following implementation of evidence-based opioid stewardship efforts. DESIGN Observational, retrospective, evidence-based practice project. SETTINGS One 200-bed and one 680-bed hospital in Washington State. PARTICIPANTS/SUBJECTS Data were included from patients aged 18 years or older hospitalized for cellulitis. METHODS Demographic and pain-related data were extracted from the electronic health record (n = 4,523 encounters) guided by the symptom management framework. The proportion of patients receiving opioid or non-opioid medications before and after implementation of evidence-based practice opioid stewardship interventions was calculated descriptively. A logistic regression tested factors related to administration of an opioid medication. RESULTS The proportion of patients receiving an opioid decreased following opioid stewardship efforts while those receiving non-opioid analgesics remained stable. Factors significantly influencing inpatient opioid administration were: average inpatient pain score, pre-hospital opioid prescription, length of stay, and year of hospitalization. CONCLUSIONS Analgesic administration treating painful, acute cellulitis at two hospitals in the Pacific Northwest included opioid and non-opioid medications. The proportion of patients receiving opioids decreased following best practice opioid stewardship actions. Opportunities may exist for nurses to collaborate with providers to improve inpatient analgesic administration practices.
Collapse
Affiliation(s)
- Teresa Rangel
- Providence Health Care, Professional Development Department, Spokane, Washington.
| | - Sydney Pham
- Providence Sacred Heart Medical Center, Spokane, Washington
| | - Brenda Senger
- Gonzaga University, School of Human Physiology and Nursing, Spokane, Washington
| | - Kristopher Daratha
- Providence Health Care, Professional Development Department, Spokane, Washington
| | - Cynthia Fitzgerald
- Providence Health Care, Professional Development Department, Spokane, Washington
| | - Rebecca Mallo
- Providence Sacred Heart Medical Center, Spokane, Washington
| | - Kenneth Daratha
- Providence Health Care, Providence Medical Research Center, Spokane, Washington
| |
Collapse
|
4
|
Carvalho-E-Silva AP, Harmer AR, Ferreira ML, Ferreira PH. The effect of the anti-diabetic drug metformin on musculoskeletal pain: A cross-sectional study with 21,889 individuals from the UK biobank. Eur J Pain 2021; 25:1264-1273. [PMID: 33561890 DOI: 10.1002/ejp.1747] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Although there is growing evidence of metformin's pleiotropic effects, including possible effects on pain, there is a lack of studies investigating the association of metformin with the prevalence of musculoskeletal pain among a large cohort with type 2 diabetes cohort. METHODS Cross-sectional analyses were conducted with UK Biobank data from 21,889 participants with type 2 diabetes. Type 2 diabetes, metformin use and musculoskeletal (back, knee, hip and neck/shoulder) pain were self-reported. Participants reported musculoskeletal pain that had interfered with their usual activities in the last month (recent pain), and for more than 3 months (chronic pain). We performed logistic regression analyses for recent and chronic pain for each site and for multisite pain among participants with diabetes who did or did not take metformin. RESULTS Participants using metformin had lower odds of musculoskeletal pain for back [recent OR 0.91, 95%CI 0.85 to 0.97; chronic OR 0.87, 95%CI 0.81 to 0.93], knee [recent OR 0.91, 95%CI 0.85 to 0.97; chronic OR 0.87, 95%CI 0.81 to 0.94] and neck/shoulder regions [chronic OR 0.92, 95%CI 0.85 to 0.99] but not hip pain. Participants using metformin also had lower odds of reporting chronic multisite musculoskeletal pain. The associations were generally stronger among women. CONCLUSIONS People with diabetes taking metformin were less likely to report back, knee, neck/shoulder and multisite musculoskeletal pain than those not taking metformin. Therefore, when treating these patients, clinicians should be aware that metformin may contribute to fewer reports of musculoskeletal pain. These effects should be investigated in future studies. SIGNIFICANCE People with type 2 diabetes taking metformin are less likely to present with musculoskeletal pain than those not taking metformin. Metformin may have a protective effect for musculoskeletal pain, which appears to be stronger among women than men.
Collapse
Affiliation(s)
- Ana Paula Carvalho-E-Silva
- Musculoskeletal Health Research Group, Faculty of Medicine and Health, School of Health Sciences, The University of Sydney, Sydney, NSW, Australia.,Institute of Bone and Joint Research, The Kolling Institute, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia
| | - Alison R Harmer
- Musculoskeletal Health Research Group, Faculty of Medicine and Health, School of Health Sciences, The University of Sydney, Sydney, NSW, Australia
| | - Manuela L Ferreira
- Institute of Bone and Joint Research, The Kolling Institute, Sydney Medical School, The University of Sydney, Sydney, NSW, Australia
| | - Paulo H Ferreira
- Musculoskeletal Health Research Group, Faculty of Medicine and Health, School of Health Sciences, The University of Sydney, Sydney, NSW, Australia.,Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
| |
Collapse
|
5
|
BMI influences relationships among health factors for adults with persistent pain who use prescription opioids. Nurs Outlook 2020; 68:440-448. [PMID: 32402394 DOI: 10.1016/j.outlook.2020.03.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 03/13/2020] [Accepted: 03/21/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Long-term use of prescription opioids for pain results in negative health outcomes. Overweight and pain are related, and adults with either condition commonly report poor sleep quality, high levels of depression, low levels of self-efficacy, and high pain interference and intensity. Insufficient research exists regarding how weight may influence pain outcomes in the context of common symptoms. PURPOSE To investigate how body mass index (BMI) influences relationships between health factors and pain outcomes among adults with pain prescribed opioids. METHODS The sample included 226 adults. Linear regression models tested relationships among variables and outcomes of pain intensity and pain interference. FINDINGS BMI significantly strengthened relationships between health factors and pain interference but not pain intensity. DISCUSSION Adults with persistent pain suffer worsened pain interference in the context of increased weight status. Nurses should consider addressing BMI as part of a holistic pain management care plan.
Collapse
|
6
|
Chui PW, Gordon KS, Dziura J, Burg MM, Brandt CA, Sico JJ, Leapman MS, Cavanagh CE, Rosman L, Haskell S, Becker WC, Bastian LA. Association of prescription opioids and incident cardiovascular risk factors among post-9/11 Veterans. Prev Med 2020; 134:106036. [PMID: 32097753 DOI: 10.1016/j.ypmed.2020.106036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Revised: 02/16/2020] [Accepted: 02/21/2020] [Indexed: 11/15/2022]
Abstract
Reports indicate that long-term opioid therapy is associated with cardiovascular disease (CVD). Using VA electronic health record data, we measured the impact of opioid use on the incidence of modifiable CVD risk factors. We included Veterans whose encounter was between October 2001 to November 2014. We identified Veterans without CVD risk factors during our baseline period, defined as the date of first primary care visit plus 365 days. The main exposure was opioid prescriptions (yes/no, long-term (i.e. ≥90 days) vs no opioid, and long-term vs short-term (i.e. <90 days)), which was time-updated yearly from the end of the baseline period to February 2015. The main outcome measures were incident CVD risk factors (hypertension, dyslipidemia, diabetes, obesity, and current smoking). After excluding prevalent CVD risk factors, we identified 308,015 Veterans. During the first year of observation, 12,725 (4.1%) Veterans were prescribed opioids, including 2028 (0.6%) with long-term exposure. Compared to patients without opioid use, Veterans with opioid use were more likely to have CVD risk factors. Those with long-term exposure were at higher risk of having hypertension (adjusted average hazards ratio [HR] 1.45, 99% confidence interval [CI] 1.33-1.59), dyslipidemia (HR 1.45, 99% CI 1.35-156), diabetes (HR 1.30, 99% CI 1.07-1.57), current smoking status (HR 1.34, 99% CI 1.24-1.46), and obesity (HR 1.22, 99% CI 1.12-1.32). Compared to short-term exposure, long-term had higher risk of current smoking status (HR 1.12, 99% CI 1.01-1.24). These findings suggest potential benefit to screening and surveillance of CVD risk factors for patients prescribed opioids, especially long-term opioid therapy.
Collapse
Affiliation(s)
- Philip W Chui
- Pain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States of America; Yale School of Medicine, New Haven, CT, United States of America
| | - Kirsha S Gordon
- Yale School of Medicine, New Haven, CT, United States of America
| | - James Dziura
- Yale School of Medicine, New Haven, CT, United States of America
| | - Matthew M Burg
- Pain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States of America; Yale School of Medicine, New Haven, CT, United States of America
| | - Cynthia A Brandt
- Pain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States of America; Yale School of Medicine, New Haven, CT, United States of America
| | - Jason J Sico
- Pain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States of America; Yale School of Medicine, New Haven, CT, United States of America
| | - Michael S Leapman
- Pain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States of America; Yale School of Medicine, New Haven, CT, United States of America
| | - Casey E Cavanagh
- Pain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States of America; Yale School of Medicine, New Haven, CT, United States of America
| | - Lindsey Rosman
- Pain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States of America; Yale School of Medicine, New Haven, CT, United States of America
| | - Sally Haskell
- Pain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States of America; Yale School of Medicine, New Haven, CT, United States of America
| | - William C Becker
- Pain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States of America; Yale School of Medicine, New Haven, CT, United States of America
| | - Lori A Bastian
- Pain Research, Informatics, Multimorbidities, and Education (PRIME) Center, VA Connecticut Healthcare System, West Haven, CT, United States of America; Yale School of Medicine, New Haven, CT, United States of America.
| |
Collapse
|
7
|
Bigand T, Wilson M. Overeating during painful episodes among adults with chronic pain: A preliminary study. Appetite 2019; 137:99-103. [DOI: 10.1016/j.appet.2019.02.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 02/23/2019] [Accepted: 02/23/2019] [Indexed: 12/29/2022]
|
8
|
Dong R, Chen J, Zheng J, Zhang M, Zhang H, Wu M, Li S, Chen B. The role of oxidative stress in cardiometabolic risk related to phthalate exposure in elderly diabetic patients from Shanghai. ENVIRONMENT INTERNATIONAL 2018; 121:340-348. [PMID: 30243182 DOI: 10.1016/j.envint.2018.09.028] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Revised: 09/07/2018] [Accepted: 09/17/2018] [Indexed: 06/08/2023]
Abstract
The effect of human exposure to phthalates and consequent contribution to the development of cardiometabolic health problems is unknown. However, oxidative stress has been established as playing an important role in the pathogenesis of cardiometabolic outcomes. In this study, we aimed to explore whether exposure to phthalate metabolites could induce cardiometabolic risk by increasing oxidative stress in a diabetic population from Shanghai. We collected paired blood and urine samples from a total of 300 volunteers, and measured 10 phthalate metabolites in urine and biomarkers of oxidative stress from serum including glucose and lipid levels, and liver and kidney damage. The insulin resistance (IR) risk was assessed by the surrogate indices including homeostasis model assessment-insulin resistance (HOMA-IR) and triglyceride glucose (TyG). We used multivariable linear regression to assess the association between phthalates and these physiological parameters. Mediation and modification analyses were performed to identify the role that oxidative stress played in the underlying mechanisms. The results showed that most of the determined phthalate metabolites were positively associated with HOMA-IR, 8‑hydroxy‑2'‑deoxyguanosine (8-OHDG), and malondialdehyde (MDA). In the mediation analysis, only γ‑glutamiltransferase (GGT) was found to be a significant mediator of the association between phthalates and TyG. In the modification analysis, exposure to phthalates strengthened the association between oxidative stress (MDA and 8-OHDG) and HOMA-IR. Our findings demonstrate that exposure to phthalates might be positively associated with elevated IR and oxidative stress. The direct participation (mediation effect) of GGT might play an important mechanism in promoting IR.
Collapse
Affiliation(s)
- RuiHua Dong
- Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, People's Republic of China.
| | - JingSi Chen
- Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, People's Republic of China.
| | - JianHeng Zheng
- Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, People's Republic of China; Key Laboratory of State General Administration of Sport, Shanghai Research Institute of Sports Science, Shanghai 200030, People's Republic of China.
| | - MeiRu Zhang
- Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, People's Republic of China; Environmental Health & Occupational Health Department, Shanghai Xuhui Center for Disease Control and Prevention, Shanghai 200030, People's Republic of China.
| | - Han Zhang
- Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, People's Republic of China.
| | - Min Wu
- Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, People's Republic of China.
| | - ShuGuang Li
- Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, People's Republic of China.
| | - Bo Chen
- Key Laboratory of Public Health Safety of Ministry of Education, Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, People's Republic of China.
| |
Collapse
|