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Monds LA, Topp L, Pados J, Holmes J, Lintzeris N. The DACRIN data project: A process for harmonising data collection for clinical research in alcohol and other drugs services in New South Wales. Drug Alcohol Rev 2023; 42:1422-1426. [PMID: 37095636 DOI: 10.1111/dar.13671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 03/23/2023] [Accepted: 03/31/2023] [Indexed: 04/26/2023]
Abstract
INTRODUCTION Standardised data collection processes allow for harmonisation and comparison of data across different studies and services. This project aimed to develop a 'core dataset' to serve as the default collection when designing future studies and evaluations, building upon data routinely collected in clinical alcohol and other drugs (AOD) settings in NSW, Australia. METHODS A working group was established, comprising clinicians, researchers, data managers and consumers from public sector and non-government organisation AOD services in the NSW Drug and Alcohol Clinical Research and Improvement Network. A series of Delphi meetings occurred to reach consensus on the data items to be included in the core dataset for three domains: demographics, treatment activity and substance use variables. RESULTS There were 20-40 attendees at each meeting. An initial consensus criterion of having received >70% of the vote was established. Given the difficulty in reaching consensus for most items, subsequently, this was changed to eliminate items that received <5 votes, after which the item receiving the most votes would be selected. DISCUSSIONS AND CONCLUSIONS This important process received considerable interest and buy-in across the NSW AOD sector. Ample opportunity for discussion and voting was provided for the three domains of interest, allowing participants to contribute their expertise and experience to inform decisions. As such, we believe the core dataset includes the best options currently available to collect data for these domains in the NSW AOD context, and potentially more broadly. This foundational study may inform other attempts to harmonise data across AOD services.
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Affiliation(s)
- Lauren A Monds
- Specialty of Addiction Medicine, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
- Drug and Alcohol Clinical Research and Improvement Network, NSW Health, Sydney, Australia
- Drug and Alcohol Services, Northern Sydney Local Health District, Sydney, Australia
| | - Libby Topp
- Drug and Alcohol Clinical Research and Improvement Network, NSW Health, Sydney, Australia
- Drug and Alcohol Services, Illawarra Shoalhaven Local Health District, Wollongong, Australia
| | - Jade Pados
- Drug and Alcohol Clinical Research and Improvement Network, NSW Health, Sydney, Australia
- Drug and Alcohol Services, Illawarra Shoalhaven Local Health District, Wollongong, Australia
| | - Jennifer Holmes
- Drug and Alcohol Clinical Research and Improvement Network, NSW Health, Sydney, Australia
- Centre for Alcohol and Other Drugs, NSW Ministry of Health, Sydney, Australia
| | - Nicholas Lintzeris
- Specialty of Addiction Medicine, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
- Drug and Alcohol Clinical Research and Improvement Network, NSW Health, Sydney, Australia
- Drug and Alcohol Services, South Eastern Sydney Local Health District, Sydney, Australia
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Abbasizanjani H, Torabi F, Bedston S, Bolton T, Davies G, Denaxas S, Griffiths R, Herbert L, Hollings S, Keene S, Khunti K, Lowthian E, Lyons J, Mizani MA, Nolan J, Sudlow C, Walker V, Whiteley W, Wood A, Akbari A. Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration. BMC Med Inform Decis Mak 2023; 23:8. [PMID: 36647111 PMCID: PMC9842203 DOI: 10.1186/s12911-022-02093-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 12/21/2022] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND The CVD-COVID-UK consortium was formed to understand the relationship between COVID-19 and cardiovascular diseases through analyses of harmonised electronic health records (EHRs) across the four UK nations. Beyond COVID-19, data harmonisation and common approaches enable analysis within and across independent Trusted Research Environments. Here we describe the reproducible harmonisation method developed using large-scale EHRs in Wales to accommodate the fast and efficient implementation of cross-nation analysis in England and Wales as part of the CVD-COVID-UK programme. We characterise current challenges and share lessons learnt. METHODS Serving the scope and scalability of multiple study protocols, we used linked, anonymised individual-level EHR, demographic and administrative data held within the SAIL Databank for the population of Wales. The harmonisation method was implemented as a four-layer reproducible process, starting from raw data in the first layer. Then each of the layers two to four is framed by, but not limited to, the characterised challenges and lessons learnt. We achieved curated data as part of our second layer, followed by extracting phenotyped data in the third layer. We captured any project-specific requirements in the fourth layer. RESULTS Using the implemented four-layer harmonisation method, we retrieved approximately 100 health-related variables for the 3.2 million individuals in Wales, which are harmonised with corresponding variables for > 56 million individuals in England. We processed 13 data sources into the first layer of our harmonisation method: five of these are updated daily or weekly, and the rest at various frequencies providing sufficient data flow updates for frequent capturing of up-to-date demographic, administrative and clinical information. CONCLUSIONS We implemented an efficient, transparent, scalable, and reproducible harmonisation method that enables multi-nation collaborative research. With a current focus on COVID-19 and its relationship with cardiovascular outcomes, the harmonised data has supported a wide range of research activities across the UK.
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Affiliation(s)
- Hoda Abbasizanjani
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health and Life Science, Swansea University, Swansea, UK.
| | - Fatemeh Torabi
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health and Life Science, Swansea University, Swansea, UK
| | - Stuart Bedston
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health and Life Science, Swansea University, Swansea, UK
| | - Thomas Bolton
- British Heart Foundation Data Science Centre, Health Data Research UK, London, UK
| | - Gareth Davies
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health and Life Science, Swansea University, Swansea, UK
| | - Spiros Denaxas
- British Heart Foundation Data Science Centre, Health Data Research UK, London, UK
- Institute of Health Informatics, University College London, London, UK
| | - Rowena Griffiths
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health and Life Science, Swansea University, Swansea, UK
| | - Laura Herbert
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health and Life Science, Swansea University, Swansea, UK
| | | | - Spencer Keene
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Emily Lowthian
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health and Life Science, Swansea University, Swansea, UK
| | - Jane Lyons
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health and Life Science, Swansea University, Swansea, UK
| | - Mehrdad A Mizani
- British Heart Foundation Data Science Centre, Health Data Research UK, London, UK
| | - John Nolan
- British Heart Foundation Data Science Centre, Health Data Research UK, London, UK
| | - Cathie Sudlow
- British Heart Foundation Data Science Centre, Health Data Research UK, London, UK
| | - Venexia Walker
- Department of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - William Whiteley
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - Angela Wood
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Ashley Akbari
- Population Data Science, Swansea University Medical School, Faculty of Medicine, Health and Life Science, Swansea University, Swansea, UK
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Tong G, Guo G. Meta-Analysis in Sociological Research: Power and Heterogeneity. SOCIOLOGICAL METHODS & RESEARCH 2022; 51:566-604. [PMID: 35754525 PMCID: PMC9231456 DOI: 10.1177/0049124119882479] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Meta-analysis is a statistical method that combines quantitative findings from previous studies. It has been increasingly used to obtain more credible results in a wide range of scientific fields. Combining the results of relevant studies allows researchers to leverage study similarities while modeling potential sources of between-study heterogeneity. This paper provides a review of the core methodologies of meta-analysis that we consider most relevant to sociological research. After developing the foundation of the fixed-effects and random-effects models of meta-analysis, this paper illustrates the utility of the method with regression coefficients reported from two sets of social science studies. We explain the various steps of the process including constructing the meta-sample from primary studies; estimating the fixed- and random-effects models; analyzing the source of heterogeneity across studies; assessing publication bias. We conclude with a discussion of steps that could be taken to strengthen the development of meta-analysis in sociological research, which will eventually increase the credibility of sociological inquiry via a knowledge-cumulative process.
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Affiliation(s)
| | - Guang Guo
- University of North Carolina at Chapel Hill
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4
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Gurugubelli VS, Fang H, Shikany JM, Balkus SV, Rumbut J, Ngo H, Wang H, Allison JJ, Steffen LM. A review of harmonization methods for studying dietary patterns. SMART HEALTH (AMSTERDAM, NETHERLANDS) 2022; 23:100263. [PMID: 35252528 PMCID: PMC8896407 DOI: 10.1016/j.smhl.2021.100263] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/11/2023]
Abstract
Data harmonization is the process by which each of the variables from different research studies are standardized to similar units resulting in comparable datasets. These data may be integrated for more powerful and accurate examination and prediction of outcomes for use in the intelligent and smart electronic health software programs and systems. Prospective harmonization is performed when researchers create guidelines for gathering and managing the data before data collection begins. In contrast, retrospective harmonization is performed by pooling previously collected data from various studies using expert domain knowledge to identify and translate variables. In nutritional epidemiology, dietary data harmonization is often necessary to construct the nutrient and food databases necessary to answer complex research questions and develop effective public health policy. In this paper, we review methods for effective data harmonization, including developing a harmonization plan, which common standards already exist for harmonization, and defining variables needed to harmonize datasets. Currently, several large-scale studies maintain harmonized nutrient databases, especially in Europe, and steps have been proposed to inform the retrospective harmonization process. As an example, data harmonization methods are applied to several U.S longitudinal diet datasets. Based on our review, considerations for future dietary data harmonization include user agreements for sharing private data among participating studies, defining variables and data dictionaries that accurately map variables among studies, and the use of secure data storage servers to maintain privacy. These considerations establish necessary components of harmonized data for smart health applications which can promote healthier eating and provide greater insights into the effect of dietary patterns on health.
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Affiliation(s)
| | - Hua Fang
- University of Massachusetts Dartmouth, 285 Old Westport Rd, North Dartmouth, 02747, Massachusetts, USA
- Department of Quantitative Health Sciences, University of Massachusetts Medical School, 55 N Lake Ave, Worcester, 01655, Massachusetts, USA
- Corresponding author. Tel.: +0-508-910-6411;
| | - James M Shikany
- Division of Preventive Medicine, University of Alabama at Birmingham, 1720 University Blvd, Birmingham, 35294, Alabama, USA
| | - Salvador V Balkus
- University of Massachusetts Dartmouth, 285 Old Westport Rd, North Dartmouth, 02747, Massachusetts, USA
| | - Joshua Rumbut
- University of Massachusetts Dartmouth, 285 Old Westport Rd, North Dartmouth, 02747, Massachusetts, USA
- Department of Quantitative Health Sciences, University of Massachusetts Medical School, 55 N Lake Ave, Worcester, 01655, Massachusetts, USA
| | - Hieu Ngo
- University of Massachusetts Dartmouth, 285 Old Westport Rd, North Dartmouth, 02747, Massachusetts, USA
| | - Honggang Wang
- University of Massachusetts Dartmouth, 285 Old Westport Rd, North Dartmouth, 02747, Massachusetts, USA
| | - Jeroan J Allison
- Department of Quantitative Health Sciences, University of Massachusetts Medical School, 55 N Lake Ave, Worcester, 01655, Massachusetts, USA
| | - Lyn M. Steffen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, 55455, Minnesota, USA
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Ni MY, Canudas-Romo V, Shi J, Flores FP, Chow MSC, Yao XI, Ho SY, Lam TH, Schooling CM, Lopez AD, Ezzati M, Leung GM. Understanding longevity in Hong Kong: a comparative study with long-living, high-income countries. Lancet Public Health 2021; 6:e919-e931. [PMID: 34774201 DOI: 10.1016/s2468-2667(21)00208-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 08/17/2021] [Accepted: 08/24/2021] [Indexed: 01/19/2023]
Abstract
BACKGROUND Since 2013, Hong Kong has sustained the world's highest life expectancy at birth-a key indicator of population health. The reasons behind this achievement remain poorly understood but are of great relevance to both rapidly developing and high-income regions. Here, we aim to compare factors behind Hong Kong's survival advantage over long-living, high-income countries. METHODS Life expectancy data from 1960-2020 were obtained for 18 high-income countries in the Organisation for Economic Co-operation and Development from the Human Mortality Database and for Hong Kong from Hong Kong's Census and Statistics Department. Causes of death data from 1950-2016 were obtained from WHO's Mortality Database. We used truncated cross-sectional average length of life (TCAL) to identify the contributions to survival differences based on 263 million deaths overall. As smoking is the leading cause of premature death, we also compared smoking-attributable mortality between Hong Kong and the high-income countries. FINDINGS From 1979-2016, Hong Kong accumulated a substantial survival advantage over high-income countries, with a difference of 1·86 years (95% CI 1·83-1·89) for males and 2·50 years (2·47-2·53) for females. As mortality from infectious diseases declined, the main contributors to Hong Kong's survival advantage were lower mortality from cardiovascular diseases for both males (TCAL difference 1·22 years, 95% CI 1·21-1·23) and females (1·19 years, 1·18-1·21), cancer for females (0·47 years, 0·45-0·48), and transport accidents for males (0·27 years, 0·27-0·28). Among high-income populations, Hong Kong recorded the lowest cardiovascular mortality and one of the lowest cancer mortalities in women. These findings were underpinned by the lowest absolute smoking-attributable mortality in high-income regions (39·7 per 100 000 in 2016, 95% CI 34·4-45·0). Reduced smoking-attributable mortality contributed to 50·5% (0·94 years, 0·93-0·95) of Hong Kong's survival advantage over males in high-income countries and 34·8% (0·87 years, 0·87-0·88) of it in females. INTERPRETATION Hong Kong's leading longevity is the result of fewer diseases of poverty while suppressing the diseases of affluence. A unique combination of economic prosperity and low levels of smoking with development contributed to this achievement. As such, it offers a framework that could be replicated through deliberate policies in developing and developed populations globally. FUNDING Early Career Scheme (RGC ECS Grant #27602415), Research Grants Council, University Grants Committee of Hong Kong.
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Affiliation(s)
- Michael Y Ni
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong Special Administrative Region, China; Healthy High Density Cities Lab, HKUrbanLab, The University of Hong Kong, Hong Kong Special Administrative Region, China.
| | - Vladimir Canudas-Romo
- School of Demography, College of Arts and Social Sciences, The Australian National University, Canberra, ACT, Australia
| | - Jian Shi
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Francis P Flores
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Mathew S C Chow
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Xiaoxin I Yao
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Orthopedics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Sai Yin Ho
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Tai Hing Lam
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - C Mary Schooling
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; School of Public Health and Health Policy, City University of New York, New York, NY, USA
| | - Alan D Lopez
- Melbourne School of Population and Global Health, The University of Melbourne, VIC, Australia
| | - Majid Ezzati
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK; Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK; Regional Institute for Population Studies, University of Ghana, Legon, Ghana
| | - Gabriel M Leung
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health (D(2)4H), Hong Kong Science Park, Hong Kong Special Administrative Region, China
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Amadou A, Freisling H, Jenab M, Tsilidis KK, Trichopoulou A, Boffetta P, Van Guelpen B, Mokoroa O, Wilsgaard T, Kee F, Schöttker B, Ordóñez-Mena JM, Männistö S, Söderberg S, Vermeulen RCH, Quirós JR, Liao LM, Sinha R, Kuulasmaa K, Brenner H, Romieu I. Prevalent diabetes and risk of total, colorectal, prostate and breast cancers in an ageing population: meta-analysis of individual participant data from cohorts of the CHANCES consortium. Br J Cancer 2021; 124:1882-1890. [PMID: 33772152 PMCID: PMC8144608 DOI: 10.1038/s41416-021-01347-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 02/28/2021] [Accepted: 03/04/2021] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND We investigated whether associations between prevalent diabetes and cancer risk are pertinent to older adults and whether associations differ across subgroups of age, body weight status or levels of physical activity. METHODS We harmonised data from seven prospective cohort studies of older individuals in Europe and the United States participating in the CHANCES consortium. Cox proportional hazard regression was used to estimate the associations of prevalent diabetes with cancer risk (all cancers combined, and for colorectum, prostate and breast). We calculated summary risk estimates across cohorts using pooled analysis and random-effects meta-analysis. RESULTS A total of 667,916 individuals were included with an overall median (P25-P75) age at recruitment of 62.3 (57-67) years. During a median follow-up time of 10.5 years, 114,404 total cancer cases were ascertained. Diabetes was not associated with the risk of all cancers combined (hazard ratio (HR) = 0.94; 95% confidence interval (CI): 0.86-1.04; I2 = 63.3%). Diabetes was positively associated with colorectal cancer risk in men (HR = 1.17; 95% CI: 1.08-1.26; I2 = 0%) and a similar HR in women (1.13; 95% CI: 0.82-1.56; I2 = 46%), but with a confidence interval including the null. Diabetes was inversely associated with prostate cancer risk (HR = 0.81; 95% CI: 0.77-0.85; I2 = 0%), but not with postmenopausal breast cancer (HR = 0.96; 95% CI: 0.89-1.03; I2 = 0%). In exploratory subgroup analyses, diabetes was inversely associated with prostate cancer risk only in men with overweight or obesity. CONCLUSIONS Prevalent diabetes was positively associated with colorectal cancer risk and inversely associated with prostate cancer risk in older Europeans and Americans.
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Affiliation(s)
- Amina Amadou
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, Lyon, France
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, Lyon, France.
| | - Mazda Jenab
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, Lyon, France
| | - Konstantinos K Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | | | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY, USA
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
| | - Bethany Van Guelpen
- Department of Radiation Sciences, Oncology Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Olatz Mokoroa
- Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain
| | - Tom Wilsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Frank Kee
- Institute for Health Sciences Risk and Inequality, Centre for Public Health, Belfast, UK
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - José M Ordóñez-Mena
- Nuffield Department of Primary Care Health Sciences, Radcliffe Observatory Quarter, Woodstock Road, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Satu Männistö
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Stefan Söderberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Roel C H Vermeulen
- Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | | | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Kari Kuulasmaa
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Isabelle Romieu
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, Lyon, France
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Simon ST, Mandair D, Tiwari P, Rosenberg MA. Prediction of Drug-Induced Long QT Syndrome Using Machine Learning Applied to Harmonized Electronic Health Record Data. J Cardiovasc Pharmacol Ther 2021; 26:335-340. [PMID: 33682475 DOI: 10.1177/1074248421995348] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND Drug-induced QT prolongation is a potentially preventable cause of morbidity and mortality, however there are no widespread clinical tools utilized to predict which individuals are at greatest risk. Machine learning (ML) algorithms may provide a method for identifying these individuals, and could be automated to directly alert providers in real time. OBJECTIVE This study applies ML techniques to electronic health record (EHR) data to identify an integrated risk-prediction model that can be deployed to predict risk of drug-induced QT prolongation. METHODS We examined harmonized data from the UCHealth EHR and identified inpatients who had received a medication known to prolong the QT interval. Using a binary outcome of the development of a QTc interval >500 ms within 24 hours of medication initiation or no ECG with a QTc interval >500 ms, we compared multiple machine learning methods by classification accuracy and performed calibration and rescaling of the final model. RESULTS We identified 35,639 inpatients who received a known QT-prolonging medication and an ECG performed within 24 hours of administration. Of those, 4,558 patients developed a QTc > 500 ms and 31,081 patients did not. A deep neural network with random oversampling of controls was found to provide superior classification accuracy (F1 score 0.404; AUC 0.71) for the development of a long QT interval compared with other methods. The optimal cutpoint for prediction was determined and was reasonably accurate (sensitivity 71%; specificity 73%). CONCLUSIONS We found that deep neural networks applied to EHR data provide reasonable prediction of which individuals are most susceptible to drug-induced QT prolongation. Future studies are needed to validate this model in novel EHRs and within the physician order entry system to assess the ability to improve patient safety.
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Affiliation(s)
- Steven T Simon
- Division of Cardiology, 12225University of Colorado School of Medicine, Aurora, CO, USA
| | - Divneet Mandair
- Department of Medicine, 12225University of Colorado School of Medicine, Aurora, CO, USA
| | - Premanand Tiwari
- Colorado Center for Personalized Medicine, 12225University of Colorado School of Medicine, Aurora, CO, USA
| | - Michael A Rosenberg
- Division of Cardiology, 12225University of Colorado School of Medicine, Aurora, CO, USA.,Colorado Center for Personalized Medicine, 12225University of Colorado School of Medicine, Aurora, CO, USA
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8
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Onyeaghala G, Lintelmann AK, Joshu CE, Lutsey PL, Folsom AR, Robien K, Platz EA, Prizment AE. Adherence to the World Cancer Research Fund/American Institute for Cancer Research cancer prevention guidelines and colorectal cancer incidence among African Americans and whites: The Atherosclerosis Risk in Communities study. Cancer 2020; 126:1041-1050. [PMID: 31873947 PMCID: PMC7021569 DOI: 10.1002/cncr.32616] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 09/27/2019] [Accepted: 10/01/2019] [Indexed: 12/22/2022]
Abstract
BACKGROUND Adherence to the World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) cancer prevention recommendations is associated with colorectal cancer (CRC) risk in whites, but only 1 previous study has reported on this link in African Americans. This study assessed the association between the 2018 WCRF/AICR guidelines and CRC incidence in African Americans (26.5%) and whites (73.5%) in the Atherosclerosis Risk in Communities prospective cohort (n = 13,822). METHODS A total of 368 incident CRC cases (268 among whites and 100 among African Americans) were identified between the baseline (1987) and 2012. A baseline adherence score was created for 7 WCRF/AICR guidelines (each contributing 0, 0.5, or 1 point to the score, with higher scores corresponding to greater adherence). Adherence scores were also categorized as tertiles (0.0-3.0, 3.5-4.0, and 4.5-7.0). Cox proportional hazards regression was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for the total cohort and with stratification by race. RESULTS After adjustments for age, sex, race, center, smoking, education, intake of aspirin, calcium, total calories, diabetes status, and, in women, hormone replacement therapy, greater adherence was associated with decreased CRC risk. The HRs per 1-unit increment in score were 0.88 (95% CI, 0.80-0.97) for the whole cohort, 0.89 (95% CI, 0.73-1.09) for African Americans, and 0.88 (95% CI, 0.77-0.99) for whites. Similar associations between higher adherence scores and decreased cancer risk were observed for men and women and for colon cancer but not for rectal cancer. CONCLUSIONS Greater adherence to the cancer prevention recommendations appears to be associated with decreased CRC risk for both African Americans and whites.
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Affiliation(s)
- Guillaume Onyeaghala
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Anna K Lintelmann
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Corrine E Joshu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - Pamela L Lutsey
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Aaron R Folsom
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
| | - Kimberly Robien
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington, DC
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland
| | - Anna E Prizment
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota
- Masonic Cancer Center, University of Minnesota, Minneapolis, Minnesota
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Filatova S, Gyllenberg D, Sillanmäki L, Suominen A, Hinkka-Yli-Salomäki S, Kaljonen A, Kerkelä M, Keski-Säntti M, Ristikari T, Lagström H, Hurtig T, Miettunen J, Surcel HM, Veijola J, Gissler M, Sourander A. The Finnish psychiatric birth cohort consortium (PSYCOHORTS) - content, plans and perspectives. Nord J Psychiatry 2019; 73:357-364. [PMID: 31271336 DOI: 10.1080/08039488.2019.1636135] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Background: Psychiatric disorders tend to be developmental, and longitudinal settings are required to examine predictors of psychiatric phenomena. Replicating and combining data and results from different birth cohorts, which are a source of reliable data, can make research even more valuable. The Finnish Psychiatric Birth Cohort Consortium (PSYCOHORTS) project combines birth cohorts in Finland. Aim: The aim of this paper is to introduce content, plans and perspectives of the PSYCOHORTS project that brings together researchers from Finland. In addition, we illustrate an example of data harmonization using available data on causes of death. Content: PSYCOHORTS includes eight Finnish birth cohorts. The project has several plans: to harmonize different data from birth cohorts, to incorporate biobanks into psychiatric birth cohort research, to apply multigenerational perspectives, to integrate longitudinal patterns of marginalization and inequality in mental health, and to utilize data in health economics research. Data on causes of death, originally obtained from Finnish Cause of Death register, were harmonized across the six birth cohorts using SAS macro facility. Results: Harmonization of the cause of death data resulted in a total of 21,993 observations from 1965 to 2015. For example, the percentage of deaths due to suicide and the sequelae of intentional self-harm was 14% and alcohol-related diseases, including accidental poisoning by alcohol, was 13%. Conclusions: PSYCOHORTS lays the foundation for complex examinations of psychiatric disorders that is based on compatible datasets, use of biobanks and multigenerational approach to risk factors, and extensive data on marginalization and inequality.
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Affiliation(s)
- S Filatova
- a Centre for Child Psychiatry, University of Turku , Turku , Finland
| | - D Gyllenberg
- a Centre for Child Psychiatry, University of Turku , Turku , Finland.,b National Institute of Health and Welfare , Helsinki , Finland.,c Department of Adolescent Psychiatry, University of Helsinki and Helsinki University Central Hospital , Helsinki , Finland
| | - L Sillanmäki
- a Centre for Child Psychiatry, University of Turku , Turku , Finland
| | - A Suominen
- a Centre for Child Psychiatry, University of Turku , Turku , Finland.,d Turku University Central Hospital , Turku , Finland
| | | | - A Kaljonen
- e Department of Biostatistics, Faculty of Medicine, University of Turku , Finland
| | - M Kerkelä
- b National Institute of Health and Welfare , Helsinki , Finland.,f Medical Research Center, University of Oulu and University Hospital of Oulu , Finland
| | - M Keski-Säntti
- b National Institute of Health and Welfare , Helsinki , Finland
| | - T Ristikari
- b National Institute of Health and Welfare , Helsinki , Finland
| | - H Lagström
- g Department of Public Health, University of Turku and Turku University Hospital , Turku , Finland
| | - T Hurtig
- h Research Unit of Clinical Neuroscience, Psychiatry University of Oulu , Finland.,i PEDEGO Research Unit, Child Psychiatry, University of Oulu , Finland.,j Clinic of Child Psychiatry, University Hospital of Oulu , Finland
| | - J Miettunen
- k Centre for Life Course Health Research, University of Oulu , Finland
| | - H-M Surcel
- l Biobank Borealis, University of Oulu , Finland.,m Faculty of Medicine, University of Oulu , Finland
| | - J Veijola
- f Medical Research Center, University of Oulu and University Hospital of Oulu , Finland.,n University Hospital of Oulu , Finland
| | - M Gissler
- a Centre for Child Psychiatry, University of Turku , Turku , Finland.,b National Institute of Health and Welfare , Helsinki , Finland.,o Department of Neurobiology, Care Sciences and Society, Karolinska Institute , Stockholm , Sweden
| | - A Sourander
- a Centre for Child Psychiatry, University of Turku , Turku , Finland.,p INVEST Research Flagship, University of Turku , Finland.,q Turku University Hospital , Turku , Finland
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10
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Hosseinpour-Niazi S, Bakhshi B, Betru E, Mirmiran P, Darand M, Azizi F. Prospective study of total and various types of vegetables and the risk of metabolic syndrome among children and adolescents. World J Diabetes 2019; 10:362-375. [PMID: 31231459 PMCID: PMC6571485 DOI: 10.4239/wjd.v10.i6.362] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 05/09/2019] [Accepted: 05/14/2019] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Data available on the association between consumption of various types of vegetables and metabolic syndrome (MetS) remain inconsistent.
AIM To investigate the association between the intake of various types of vegetables and MetS among children and adolescents and MetS.
METHODS The Tehran Lipid and Glucose Study cohort included 424 children and adolescents initially free of MetS. At the 3.6 year follow-up, 47 new cases of MetS were identified. A 168-item semi-quantitative food-frequency questionnaire was used to collect information about total and various types of vegetables consumed, including allium-, green leafy-, fruity-, root-, stalk-, starchy-, potatoes, and cabbage. MetS was defined according to the Cook et al[32] criteria.
RESULTS The median (interquartile range) of total vegetable consumption was 217 (146-344) g/d. After adjustment for demographic characteristics and dietary intake, higher total- (≥ 350 g/d) and higher allium vegetable consumption (≥ 30 g/d) in the fourth quartile were significantly and inversely associated with risk of MetS compared to the first quartile. Consumption of green leafy vegetables in the third (21.4-38.3 g/d) versus the first quartile (≤ 13.5 g/d) demonstrated a significant inverse association with lower risk of MetS in children and adolescents; associations for other types of vegetables consumed were not significant.
CONCLUSION Consumption of vegetables, especially allium and green leafy vegetables, in sufficient amounts may be beneficial in reducing the risk of MetS among children and adolescents.
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Affiliation(s)
- Somayeh Hosseinpour-Niazi
- Nutrition and Endocrine Research center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran 19395-4763, Iran
| | - Bahar Bakhshi
- Nutrition and Endocrine Research center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran 19395-4763, Iran
| | - Ekbal Betru
- Nutrition and Endocrine Research center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran 19395-4763, Iran
| | - Parvin Mirmiran
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran 19395-4763, Iran
| | - Mina Darand
- Nutrition and Endocrine Research center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran 19395-4763, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran 19395-4763, Iran
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11
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Harville EW, Jacobs M, Shu T, Breckner D, Wallace M. Comparison of reproductive history gathered by interview and by vital records linkage after 40 years of follow-up: Bogalusa Babies. BMC Med Res Methodol 2019; 19:114. [PMID: 31164081 PMCID: PMC6549375 DOI: 10.1186/s12874-019-0758-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Accepted: 05/21/2019] [Indexed: 11/17/2022] Open
Abstract
Background To examine the consistency and likely degree of bias in a study of cardiovascular health, linked with reproductive data over 40 years. Methods Linkage of vital statistics data of births to female Bogalusa Heart Study participants was compared to interviewing of female participants. The characteristics of participants, the agreement, and demographic, study-related, and medical predictors of discrepancy were analyzed, using kappa statistics, mean and median differences, and logistic regression. Results Overall, 3944 (66.7%) of participants were located by one or both sources. The strongest predictor of either linkage or interview was recent and/or frequent participation in the parent study. Agreement between the two sources was generally good (kappa > 0.9 for birthweight and 0.8 for gestational age). Black race, older age, and time since pregnancy were associated with greater discrepancy in reporting of outcomes, but cardiovascular risk factors generally were not. Conclusions Combining information from multiple sources to increase sample size and outcome ascertainment may be valid, which will increase population health sciences’ ability to leverage the many existing, large-scale sources to answer previously unexplored questions, even those that the data were not initially collected to answer. Electronic supplementary material The online version of this article (10.1186/s12874-019-0758-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Emily W Harville
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, Epidemiology #8318, 1440 Canal ST STE 2000, New Orleans, LA, 70112, USA.
| | - Marni Jacobs
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, Epidemiology #8318, 1440 Canal ST STE 2000, New Orleans, LA, 70112, USA.,Division of Biostatistics and Study Methodology, Children's National Health System, Washington, DC, 20010, USA
| | - Tian Shu
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, Epidemiology #8318, 1440 Canal ST STE 2000, New Orleans, LA, 70112, USA
| | - Dorothy Breckner
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, Epidemiology #8318, 1440 Canal ST STE 2000, New Orleans, LA, 70112, USA
| | - Maeve Wallace
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, Epidemiology #8318, 1440 Canal ST STE 2000, New Orleans, LA, 70112, USA.,Department of Global Community Health and Behavior, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
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12
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Raina P, Gilsing A, Freisling H, van den Heuvel E, Sohel N, Jenab M, Ferrari P, Tjønneland A, Benetou V, Picavet S, Eriksson S, Schöttker B, Brenner H, Saum KU, Perna L, Wilsgaard T, Trichopoulou A, Boffetta P, Griffith LE. The Combined Effect of Cancer and Cardiometabolic Conditions on the Mortality Burden in Older Adults. J Gerontol A Biol Sci Med Sci 2019; 74:366-372. [PMID: 29562321 DOI: 10.1093/gerona/gly053] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND The number of older people living with cancer and cardiometabolic conditions is increasing, but little is known about how specific combinations of these conditions impact mortality. METHODS A total of 22,692 participants aged 65 years and older from four international cohorts were followed-up for mortality for an average of 10 years (8,596 deaths). Data were harmonized across cohorts and mutually exclusive groups of disease combinations were created for cancer, myocardial infarction (MI), stroke, and diabetes at baseline. Cox proportional hazards models for all-cause mortality were used to estimate the age- and sex-adjusted hazard ratio and rate advancement period (RAP) (in years). RESULTS At baseline, 23.6% (n = 5,116) of participants reported having one condition and 4.2% (n = 955) had two or more conditions. Data from all studies combined showed that the RAP increased with each additional condition. Diabetes advanced the rate of dying by the most years (5.26 years; 95% confidence interval [CI], 4.53-6.00), but the effect of any single condition was smaller than the effect of disease combinations. Some combinations had a significantly greater impact on the period by which the rate of death was advanced than others with the same number of conditions, for example, 10.9 years (95% CI, 9.4-12.6) for MI and diabetes versus 6.4 years (95% CI, 4.3-8.5) for cancer and diabetes. CONCLUSIONS Combinations of cancer and cardiometabolic conditions accelerate mortality rates in older adults differently. Although most studies investigating mortality associated with multimorbidity used disease counts, these provide little guidance for managing complex patients as they age.
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Affiliation(s)
- Parminder Raina
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
- McMaster Institute for Research on Aging, McMaster University, Hamilton, Canada
- Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Canada
| | - Anne Gilsing
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
- McMaster Institute for Research on Aging, McMaster University, Hamilton, Canada
- Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Canada
| | - Heinz Freisling
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Edwin van den Heuvel
- Department of Mathematics and Computer Science, Eindhoven University of Technology, The Netherlands
| | - Nazmul Sohel
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
- McMaster Institute for Research on Aging, McMaster University, Hamilton, Canada
- Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Canada
| | - Mazda Jenab
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | - Pietro Ferrari
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), Lyon, France
| | | | - Vassiliki Benetou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Susan Picavet
- Centre for Nutrition, Prevention and Health Services National Institute of Public Health and the Environment, The Netherlands
| | - Sture Eriksson
- Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå University, Sweden
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Network Ageing Research, University of Heidelberg, Germany
- Institute of Health Care and Social Sciences, FOM University, Essen, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Network Ageing Research, University of Heidelberg, Germany
- Institute of Health Care and Social Sciences, FOM University, Essen, Germany
| | - Kai-Uwe Saum
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Network Ageing Research, University of Heidelberg, Germany
- Institute of Health Care and Social Sciences, FOM University, Essen, Germany
| | - Laura Perna
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Network Ageing Research, University of Heidelberg, Germany
- Institute of Health Care and Social Sciences, FOM University, Essen, Germany
| | - Tom Wilsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Paolo Boffetta
- Hellenic Health Foundation, Athens, Greece
- Institute for Translational Epidemiology and Tisch Cancer Institute Icahn School of Medicine at Mount Sinai, New York, USA
| | - Lauren E Griffith
- Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada
- McMaster Institute for Research on Aging, McMaster University, Hamilton, Canada
- Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Canada
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13
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Benet M, Albang R, Pinart M, Hohmann C, Tischer CG, Annesi-Maesano I, Baïz N, Bindslev-Jensen C, Lødrup Carlsen KC, Carlsen KH, Cirugeda L, Eller E, Fantini MP, Gehring U, Gerhard B, Gori D, Hallner E, Kull I, Lenzi J, McEachan R, Minina E, Momas I, Narduzzi S, Petherick ES, Porta D, Rancière F, Standl M, Torrent M, Wijga AH, Wright J, Kogevinas M, Guerra S, Sunyer J, Keil T, Bousquet J, Maier D, Anto JM, Garcia-Aymerich J. Integrating Clinical and Epidemiologic Data on Allergic Diseases Across Birth Cohorts: A Harmonization Study in the Mechanisms of the Development of Allergy Project. Am J Epidemiol 2019; 188:408-417. [PMID: 30351340 DOI: 10.1093/aje/kwy242] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Accepted: 10/16/2018] [Indexed: 12/27/2022] Open
Abstract
The numbers of international collaborations among birth cohort studies designed to better understand asthma and allergies have increased in the last several years. However, differences in definitions and methods preclude direct pooling of original data on individual participants. As part of the Mechanisms of the Development of Allergy (MeDALL) Project, we harmonized data from 14 birth cohort studies (each with 3-20 follow-up periods) carried out in 9 European countries during 1990-1998 or 2003-2009. The harmonization process followed 6 steps: 1) organization of the harmonization panel; 2) identification of variables relevant to MeDALL objectives (candidate variables); 3) proposal of a definition for each candidate variable (reference definition); 4) assessment of the compatibility of each cohort variable with its reference definition (inferential equivalence) and classification of this inferential equivalence as complete, partial, or impossible; 5) convocation of a workshop to agree on the reference definitions and classifications of inferential equivalence; and 6) preparation and delivery of data through a knowledge management portal. We agreed on 137 reference definitions. The inferential equivalence of 3,551 cohort variables to their corresponding reference definitions was classified as complete, partial, and impossible for 70%, 15%, and 15% of the variables, respectively. A harmonized database was delivered to MeDALL investigators. In asthma and allergy birth cohorts, the harmonization of data for pooled analyses is feasible, and high inferential comparability may be achieved. The MeDALL harmonization approach can be used in other collaborative projects.
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Affiliation(s)
- Marta Benet
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
| | | | - Mariona Pinart
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
- Hospital del Mar Research Institute, Barcelona, Spain
| | - Cynthia Hohmann
- Institute for Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Christina G Tischer
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
| | - Isabella Annesi-Maesano
- Epidemiology of Allergic and Respiratory Diseases Department, Institut Pierre Louis d’Epidémiologie et de Santé Publique, Institut National de la Santé et de la Recherche Médicale, Paris, France
- Saint-Antoine Medical School, Université Pierre et Marie Curie, Paris, France
| | - Nour Baïz
- Epidemiology of Allergic and Respiratory Diseases Department, Institut Pierre Louis d’Epidémiologie et de Santé Publique, Institut National de la Santé et de la Recherche Médicale, Paris, France
- Saint-Antoine Medical School, Université Pierre et Marie Curie, Paris, France
| | - Carsten Bindslev-Jensen
- Odense Research Center for Anaphylaxis, Department of Dermatology and Allergy Center, Odense University Hospital, Odense, Denmark
| | - Karin C Lødrup Carlsen
- Department of Paediatric Allergy and Pulmonology, Division of Paediatric and Adolescent Medicine, Faculty of Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Kai-Hakon Carlsen
- Department of Paediatric Allergy and Pulmonology, Division of Paediatric and Adolescent Medicine, Faculty of Medicine, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Lourdes Cirugeda
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
| | - Esben Eller
- Odense Research Center for Anaphylaxis, Department of Dermatology and Allergy Center, Odense University Hospital, Odense, Denmark
| | - Maria Pia Fantini
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum–University of Bologna, Bologna, Italy
| | - Ulrike Gehring
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | | | - Davide Gori
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum–University of Bologna, Bologna, Italy
| | - Eva Hallner
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - Inger Kull
- Sachs’ Children and Youth Hospital, South General Hospital Stockholm, Stockholm, Sweden
- Department of Clinical Science and Education, Karolinska Institutet, Stockholm, Sweden
| | - Jacopo Lenzi
- Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum–University of Bologna, Bologna, Italy
| | - Rosemary McEachan
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom
| | | | - Isabelle Momas
- Université Paris Descartes, Sorbonne Paris Cité, EA 4064 Epidémiologie Environnementale, Paris, France
- Mairie de Paris, Direction de l’Action Sociale de l’Enfance et de la Santé, Cellule Cohorte, Paris, France
| | - Silvia Narduzzi
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Emily S Petherick
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Daniela Porta
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - Fanny Rancière
- Université Paris Descartes, Sorbonne Paris Cité, EA 4064 Epidémiologie Environnementale, Paris, France
| | - Marie Standl
- Institute of Epidemiology I, Helmholtz Zentrum München–German Research Center for Environmental Health, Neuherberg, Germany
| | - Maties Torrent
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
- Servei de Salut de les Illes Balears, Area de Salut de Menorca, Spain
| | - Alet H Wijga
- Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - John Wright
- Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, United Kingdom
| | - Manolis Kogevinas
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
- Hospital del Mar Research Institute, Barcelona, Spain
- National School of Public Health, Athens, Greece
| | - Stefano Guerra
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
- Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona
| | - Jordi Sunyer
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
- Hospital del Mar Research Institute, Barcelona, Spain
| | - Thomas Keil
- Institute for Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Jean Bousquet
- Contre les Maladies Chroniques pour un Vieillissement Actif en France, European Innovation Partnership on Active and Healthy Ageing Reference Site, Montpellier, France
- Institut National de la Santé et de la Recherche Médicale, Unité Mixte de Recherche 1168
| | | | - Josep M Anto
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
- Hospital del Mar Research Institute, Barcelona, Spain
| | - Judith Garcia-Aymerich
- ISGlobal
- Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Consorcio Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Barcelona, Spain
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14
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Gào X, Wilsgaard T, Jansen EHJM, Holleczek B, Zhang Y, Xuan Y, Anusruti A, Brenner H, Schöttker B. Pre‐diagnostic derivatives of reactive oxygen metabolites and the occurrence of lung, colorectal, breast and prostate cancer: An individual participant data meta‐analysis of two large population‐based studies. Int J Cancer 2019; 145:49-57. [DOI: 10.1002/ijc.32073] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2018] [Revised: 11/21/2018] [Accepted: 11/30/2018] [Indexed: 01/04/2023]
Affiliation(s)
- Xīn Gào
- Division of Clinical Epidemiology and Aging ResearchGerman Cancer Research Center Heidelberg Germany
- Network Aging ResearchHeidelberg University Heidelberg Germany
| | - Tom Wilsgaard
- Department of Community MedicineUniversity of Tromsø – The Arctic University of Norway Tromsø Norway
| | - Eugène HJM Jansen
- Centre for Health ProtectionNational Institute of Public Health and the Environment Bilthoven The Netherlands
| | | | - Yan Zhang
- Division of Clinical Epidemiology and Aging ResearchGerman Cancer Research Center Heidelberg Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) Heidelberg Germany
| | - Yang Xuan
- Division of Clinical Epidemiology and Aging ResearchGerman Cancer Research Center Heidelberg Germany
- Network Aging ResearchHeidelberg University Heidelberg Germany
| | - Ankita Anusruti
- Division of Clinical Epidemiology and Aging ResearchGerman Cancer Research Center Heidelberg Germany
- Network Aging ResearchHeidelberg University Heidelberg Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging ResearchGerman Cancer Research Center Heidelberg Germany
- Network Aging ResearchHeidelberg University Heidelberg Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) Heidelberg Germany
- German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT)Division of Preventive Oncology Heidelberg Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging ResearchGerman Cancer Research Center Heidelberg Germany
- Network Aging ResearchHeidelberg University Heidelberg Germany
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15
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Association of serum markers of oxidative stress with myocardial infarction and stroke: pooled results from four large European cohort studies. Eur J Epidemiol 2018; 34:471-481. [PMID: 30406496 DOI: 10.1007/s10654-018-0457-x] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Accepted: 10/23/2018] [Indexed: 12/13/2022]
Abstract
Oxidative stress contributes to endothelial dysfunction and is involved in the pathogenesis of myocardial infarction (MI) and stroke. However, associations of biomarkers of oxidative stress with MI and stroke have not yet been addressed in large cohort studies. A nested case-control design was applied in four population-based cohort studies from Germany, Czech Republic, Poland and Lithuania. Derivatives of reactive oxygen metabolites (d-ROMs) levels, as a proxy for the reactive oxygen species burden, and total thiol levels (TTL), as a proxy for the reductive capacity, were measured in baseline serum samples of 476 incident MI cases and 454 incident stroke cases as well as five controls per case individually matched by study center, age and sex. Statistical analyses were conducted with multi-variable adjusted conditional logistic regression models. d-ROMs levels were associated with both MI (odds ratio (OR), 1.21 [95% confidence interval (CI) 1.05-1.40] for 100 Carr units increase) and stroke (OR, 1.17 [95% CI 1.01-1.35] for 100 Carr units increase). TTL were only associated with stroke incidence (OR, 0.79 [95% CI 0.63-0.99] for quartiles 2-4 vs. quartile 1). The observed relationships were stronger with fatal than with non-fatal endpoints; association of TTL with fatal MI was statistically significant (OR, 0.69 [95% CI 0.51-0.93] for 100 μmol/L-increase). This pooled analysis of four large population-based cohorts suggests an important contribution of an imbalanced redox system to the etiology of mainly fatal MI and stroke events.
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Benetou V, Orfanos P, Feskanich D, Michaëlsson K, Pettersson-Kymmer U, Byberg L, Eriksson S, Grodstein F, Wolk A, Jankovic N, de Groot LCPGM, Boffetta P, Trichopoulou A. Mediterranean diet and hip fracture incidence among older adults: the CHANCES project. Osteoporos Int 2018; 29:1591-1599. [PMID: 29656347 DOI: 10.1007/s00198-018-4517-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Accepted: 03/28/2018] [Indexed: 12/29/2022]
Abstract
UNLABELLED The association between adherence to Mediterranean diet (MD) and hip fracture incidence is not yet established. In a diverse population of elderly, increased adherence to MD was associated with lower hip fracture incidence. Except preventing major chronic diseases, adhering to MD might have additional benefits in lowering hip fracture risk. INTRODUCTION Hip fractures constitute a major public health problem among older adults. Latest evidence links adherence to Mediterranean diet (MD) with reduced hip fracture risk, but still more research is needed to elucidate this relationship. The potential association of adherence to MD with hip fracture incidence was explored among older adults. METHODS A total of 140,775 adults (116,176 women, 24,599 men) 60 years and older, from five cohorts from Europe and the USA, were followed-up for 1,896,219 person-years experiencing 5454 hip fractures. Diet was assessed at baseline by validated, cohort-specific, food-frequency questionnaires, and hip fractures were ascertained through patient registers or telephone interviews/questionnaires. Adherence to MD was evaluated by a scoring system on a 10-point scale modified to be applied also to non-Mediterranean populations. In order to evaluate the association between MD and hip fracture incidence, cohort-specific hazard ratios (HR), adjusted for potential confounders, were estimated using Cox proportional-hazards regression and pooled estimates were subsequently derived implementing random-effects meta-analysis. RESULTS A two-point increase in the score was associated with a significant 4% decrease in hip fracture risk (pooled adjusted HR 0.96; 95% confidence interval (95% CI) 0.92-0.99, pheterogeneity = 0.446). In categorical analyses, hip fracture risk was lower among men and women with moderate (HR 0.93; 95% CI 0.87-0.99) and high (HR 0.94; 95% CI 0.87-1.01) adherence to the score compared with those with low adherence. CONCLUSIONS In this large sample of older adults from Europe and the USA, increased adherence to MD was associated with lower hip fracture incidence.
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Affiliation(s)
- V Benetou
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, 75 Mikras Asias street, 115 27, Athens, Greece.
| | - P Orfanos
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, 75 Mikras Asias street, 115 27, Athens, Greece
- Hellenic Health Foundation, Athens, Greece
| | - D Feskanich
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - K Michaëlsson
- Department of Surgical Sciences, Section of Orthopedics, Uppsala University, Uppsala, Sweden
| | - U Pettersson-Kymmer
- Department of Pharmacology and Clinical Neurosciences and Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - L Byberg
- Department of Surgical Sciences, Section of Orthopedics, Uppsala University, Uppsala, Sweden
| | - S Eriksson
- Department of Community Medicine, Umeå University, Umeå, Sweden
| | - F Grodstein
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA
| | - A Wolk
- Department of Surgical Sciences, Section of Orthopedics, Uppsala University, Uppsala, Sweden
- Institute of Environmental Medicine, Division of Nutritional Epidemiology, Karolinska Institutet, Stockholm, Sweden
| | - N Jankovic
- Center of Clinical Epidemiology, Institute of Medical Informatics, Biometry, and Epidemiology, Faculty of Medicine, University Duisburg-Essen, Essen, Germany
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - L C P G M de Groot
- Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - P Boffetta
- Institute for Translational Epidemiology and Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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17
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Ordóñez-Mena JM, Walter V, Schöttker B, Jenab M, O'Doherty MG, Kee F, Bueno-de-Mesquita B, Peeters PHM, Stricker BH, Ruiter R, Hofman A, Söderberg S, Jousilahti P, Kuulasmaa K, Freedman ND, Wilsgaard T, Wolk A, Nilsson LM, Tjønneland A, Quirós JR, van Duijnhoven FJB, Siersema PD, Boffetta P, Trichopoulou A, Brenner H. Impact of prediagnostic smoking and smoking cessation on colorectal cancer prognosis: a meta-analysis of individual patient data from cohorts within the CHANCES consortium. Ann Oncol 2018; 29:472-483. [PMID: 29244072 PMCID: PMC6075220 DOI: 10.1093/annonc/mdx761] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Background Smoking has been associated with colorectal cancer (CRC) incidence and mortality in previous studies and might also be associated with prognosis after CRC diagnosis. However, current evidence on smoking in association with CRC prognosis is limited. Patients and methods For this individual patient data meta-analysis, sociodemographic and smoking behavior information of 12 414 incident CRC patients (median age at diagnosis: 64.3 years), recruited within 14 prospective cohort studies among previously cancer-free adults, was collected at baseline and harmonized across studies. Vital status and causes of death were collected for a mean follow-up time of 5.1 years following cancer diagnosis. Associations of smoking behavior with overall and CRC-specific survival were evaluated using Cox regression and standard meta-analysis methodology. Results A total of 5229 participants died, 3194 from CRC. Cox regression revealed significant associations between former [hazard ratio (HR) = 1.12; 95 % confidence interval (CI) = 1.04-1.20] and current smoking (HR = 1.29; 95% CI = 1.04-1.60) and poorer overall survival compared with never smoking. Compared with current smoking, smoking cessation was associated with improved overall (HR<10 years = 0.78; 95% CI = 0.69-0.88; HR≥10 years = 0.78; 95% CI = 0.63-0.97) and CRC-specific survival (HR≥10 years = 0.76; 95% CI = 0.67-0.85). Conclusion In this large meta-analysis including primary data of incident CRC patients from 14 prospective cohort studies on the association between smoking and CRC prognosis, former and current smoking were associated with poorer CRC prognosis compared with never smoking. Smoking cessation was associated with improved survival when compared with current smokers. Future studies should further quantify the benefits of nonsmoking, both for cancer prevention and for improving survival among CRC patients, in particular also in terms of treatment response.
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Affiliation(s)
- J M Ordóñez-Mena
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Network Aging Research, University of Heidelberg, Heidelberg, Germany; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - V Walter
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - B Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Network Aging Research, University of Heidelberg, Heidelberg, Germany; Institute of Health Care and Social Sciences, FOM University, Essen, Germany
| | - M Jenab
- International Agency for Research on Cancer (IARC), Lyon, France
| | - M G O'Doherty
- UKCRC Centre of Excellence for Public Health, Queens University of Belfast, Belfast, UK
| | - F Kee
- UKCRC Centre of Excellence for Public Health, Queens University of Belfast, Belfast, UK
| | - B Bueno-de-Mesquita
- Department of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands; Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands; Division of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, UK; Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - P H M Peeters
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - B H Stricker
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - R Ruiter
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA
| | - S Söderberg
- Department of Public Health and Clinical Medicine, Cardiology, and Heart Center, Umeå University, Umeå, Sweden
| | - P Jousilahti
- National Institute for Health and Welfare (THL), Helsinki, Finland
| | - K Kuulasmaa
- National Institute for Health and Welfare (THL), Helsinki, Finland
| | - N D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, USA
| | - T Wilsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - A Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - L M Nilsson
- Nutritional Research, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden; Arcum, Arctic Research Centre at Umeå University, Umeå, Sweden
| | - A Tjønneland
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - J R Quirós
- Public Health Directorate, Asturias, Spain
| | | | - P D Siersema
- Department of Gastroenterology and Hepatology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - P Boffetta
- Hellenic Health Foundation, Athens, Greece; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, USA
| | - A Trichopoulou
- Hellenic Health Foundation, Athens, Greece; WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - H Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
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18
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Lövheim H, Olsson J, Weidung B, Johansson A, Eriksson S, Hallmans G, Elgh F. Interaction between Cytomegalovirus and Herpes Simplex Virus Type 1 Associated with the Risk of Alzheimer’s Disease Development. J Alzheimers Dis 2018; 61:939-945. [DOI: 10.3233/jad-161305] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Hugo Lövheim
- Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå University, Umeå, Sweden
- Department of Public Health and Caring Sciences, Geriatric Medicine, Uppsala University, Uppsala, Sweden
| | - Jan Olsson
- Department of Clinical Microbiology, Virology, Umeå University, Umeå, Sweden
| | - Bodil Weidung
- Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå University, Umeå, Sweden
- Department of Public Health and Caring Sciences, Geriatric Medicine, Uppsala University, Uppsala, Sweden
| | - Anders Johansson
- Department of Odontology, Umeå University, Umeå, Sweden
- Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - Sture Eriksson
- Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå University, Umeå, Sweden
- Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - Göran Hallmans
- Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - Fredrik Elgh
- Department of Clinical Microbiology, Virology, Umeå University, Umeå, Sweden
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19
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Lachman S, Boekholdt SM, Luben RN, Sharp SJ, Brage S, Khaw KT, Peters RJG, Wareham NJ. Impact of physical activity on the risk of cardiovascular disease in middle-aged and older adults: EPIC Norfolk prospective population study. Eur J Prev Cardiol 2018; 25:200-208. [PMID: 29161890 PMCID: PMC5757406 DOI: 10.1177/2047487317737628] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Accepted: 09/27/2017] [Indexed: 12/02/2022]
Abstract
Background There is broad consensus that regular physical activity yields major health benefits. However, current guidelines on physical activity are mainly aimed at middle-aged adults. It is unclear whether physical activity also translates into cardiovascular health benefits in older adults. Therefore, we aimed to compare the association between different levels of physical activity and the risk of cardiovascular disease (CVD) in elderly to middle-aged individuals. Methods We analysed data from the EPIC Norfolk prospective population study. Cox proportional hazards models were used to analyse the association between physical activity levels and time to CVD events in three age categories (<55, 55-65 and >65 years). Interaction between age categories and physical activity levels was assessed. Results Analyses were based on 24,502 study participants aged 39-79 years. A total of 5240 CVD events occurred during 412,954 person-years follow-up (median follow-up was 18.0 years). Among individuals aged over 65 years, hazard ratios for CVD were 0.86 (95% confidence interval (CI) 0.78-0.96), 0.87 (95% CI 0.77-0.99) and 0.88 (95% CI 0.77-1.02) in moderately inactive, moderately active and active people, respectively, compared to inactive people. Among people aged 55-65 and less than 55 years, the associations were directionally similar, but not statistically significant. The interaction term between physical activity levels and age categories was not significant ( P = 0.38). Conclusion The inverse association between physical activity and the risk of CVD was significant in elderly and comparable with middle-aged individuals. In addition, we observed that modest levels of physical activity confer benefits in terms of CVD risk, compared to being completely inactive.
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Affiliation(s)
- Sangeeta Lachman
- Department of Cardiology, Academic Medical Centre, Amsterdam, the Netherlands
| | | | - Robert N Luben
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | | | - Soren Brage
- Medical Research Council Epidemiology Unit, Cambridge, UK
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Ron JG Peters
- Department of Cardiology, Academic Medical Centre, Amsterdam, the Netherlands
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20
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Bamia C, Orfanos P, Juerges H, Schöttker B, Brenner H, Lorbeer R, Aadahl M, Matthews CE, Klinaki E, Katsoulis M, Lagiou P, Bueno-de-Mesquita HBA, Eriksson S, Mons U, Saum KU, Kubinova R, Pajak A, Tamosiunas A, Malyutina S, Gardiner J, Peasey A, de Groot LC, Wilsgaard T, Boffetta P, Trichopoulou A, Trichopoulos D. Self-rated health and all-cause and cause-specific mortality of older adults: Individual data meta-analysis of prospective cohort studies in the CHANCES Consortium. Maturitas 2017; 103:37-44. [PMID: 28778331 DOI: 10.1016/j.maturitas.2017.06.023] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2016] [Revised: 05/27/2017] [Accepted: 06/08/2017] [Indexed: 10/19/2022]
Abstract
OBJECTIVES To evaluate, among the elderly, the association of self-rated health (SRH) with mortality, and to identify determinants of self-rating health as "at-least-good". STUDY DESIGN Individual data on SRH and important covariates were obtained for 424,791 European and United States residents, ≥60 years at recruitment (1982-2008), in eight prospective studies in the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES). In each study, adjusted mortality ratios (hazard ratios, HRs) in relation to SRH were calculated and subsequently combined with random-effect meta-analyses. MAIN OUTCOME MEASURES All-cause, cardiovascular and cancer mortality. RESULTS Within the median 12.5 years of follow-up, 93,014 (22%) deaths occurred. SRH "fair" or "poor" vs. "at-least-good" was associated with increased mortality: HRs 1.46 (95% CI 1·23-1.74) and 2.31 (1.79-2.99), respectively. These associations were evident: for cardiovascular and, to a lesser extent, cancer mortality, and within-study, within-subgroup analyses. Accounting for lifestyle, sociodemographic, somatometric factors and, subsequently, for medical history explained only a modest amount of the unadjusted associations. Factors favourably associated with SRH were: sex (males), age (younger-old), education (high), marital status (married/cohabiting), physical activity (active), body mass index (non-obese), alcohol consumption (low to moderate) and previous morbidity (absence). CONCLUSION SRH provides a quick and simple tool for assessing health and identifying groups of elders at risk of early mortality that may be useful also in clinical settings. Modifying determinants of favourably rating health, e.g. by increasing physical activity and/or by eliminating obesity, may be important for older adults to "feel healthy" and "be healthy".
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Affiliation(s)
- Christina Bamia
- National and Kapodistrian University of Athens, Medical School, Department of Hygiene, Epidemiology and Medical Statistics, WHO Collaborating Center for Nutrition and Health, 115 27 Athens, Greece; Hellenic Health Foundation, 115 27, Athens, Greece.
| | - Philippos Orfanos
- National and Kapodistrian University of Athens, Medical School, Department of Hygiene, Epidemiology and Medical Statistics, WHO Collaborating Center for Nutrition and Health, 115 27 Athens, Greece; Hellenic Health Foundation, 115 27, Athens, Greece
| | | | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany; Network Aging Research, Heidelberg University, 69115, Heidelberg, Germany
| | - Roberto Lorbeer
- Institute for Community Medicine, University Medicine, Ernst Moritz Arndt University Greifswald, 17475 Greifswald, Germany; Institute of Clinical Radiology, Ludwig-Maximilians-University Hospital, 80336 Munich, Germany
| | - Mette Aadahl
- Research Centre for Prevention and Health, Center for Health, The Capital Region of Denmark, 2600 Glostrup, Denmark
| | - Charles E Matthews
- National Cancer Institute, Division of Cancer Epidemiology and Genetics, Nutritional Epidemiology Branch, Bethesda, MD, 20892-9704, USA
| | | | | | - Pagona Lagiou
- National and Kapodistrian University of Athens, Medical School, Department of Hygiene, Epidemiology and Medical Statistics, WHO Collaborating Center for Nutrition and Health, 115 27 Athens, Greece; Hellenic Health Foundation, 115 27, Athens, Greece; Department of Epidmiology, Harvard School of Public Health, Boston, MA 02115, USA
| | - H B As Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), 3720 BA Bilthoven, The Netherlands; Department of Gastroenterology and Hepatology, University Medical Centre, 3508 GA Utrecht, The Netherlands; Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, W2 1 PG London, United Kingdom; Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, 50603, Kuala Lumpur, Malaysia
| | - Sture Eriksson
- Umeå University, Department of Geriatrics, SE 90185 Umeå, Sweden
| | - Ute Mons
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Kai-Uwe Saum
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Ruzena Kubinova
- National Institute of Public Health, Šrobarova 48, 10042 Prague 10, Czech Republic
| | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Faculty of Health Sciences, 31-137 Krakow, Poland
| | - Abdonas Tamosiunas
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukilėlių av. 17, Kaunas LT-50161, Lithuania
| | - Sofia Malyutina
- Institute of Internal and Preventive Medicine, 630089, Novosibirsk, Russia; Novosibirsk State Medical University, 630091, Novosibirsk, Russia
| | - Julian Gardiner
- Department of Epidemiology and Public Health, University College London, WC1E 6BT, UK
| | - Anne Peasey
- Department of Epidemiology and Public Health, University College London, WC1E 6BT, UK
| | - Lisette Cpgm de Groot
- Division of Human Nutrition, Wageningen University, P.O. Box 8129, NL-6700 EV Wageningen, The Netherlands
| | - Tom Wilsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, 9037 Tromsø, Norway
| | - Paolo Boffetta
- Hellenic Health Foundation, 115 27, Athens, Greece; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Antonia Trichopoulou
- National and Kapodistrian University of Athens, Medical School, Department of Hygiene, Epidemiology and Medical Statistics, WHO Collaborating Center for Nutrition and Health, 115 27 Athens, Greece; Hellenic Health Foundation, 115 27, Athens, Greece
| | - Dimitrios Trichopoulos
- Hellenic Health Foundation, 115 27, Athens, Greece; Department of Epidmiology, Harvard School of Public Health, Boston, MA 02115, USA; Bureau of Epidemiologic Research, Academy of Athens, 115 27Athens, Greece
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21
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Mons U, Müezzinler A, Schöttker B, Dieffenbach AK, Butterbach K, Schick M, Peasey A, De Vivo I, Trichopoulou A, Boffetta P, Brenner H. Leukocyte Telomere Length and All-Cause, Cardiovascular Disease, and Cancer Mortality: Results From Individual-Participant-Data Meta-Analysis of 2 Large Prospective Cohort Studies. Am J Epidemiol 2017; 185:1317-1326. [PMID: 28459963 DOI: 10.1093/aje/kww210] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Accepted: 04/27/2016] [Indexed: 12/13/2022] Open
Abstract
We studied the associations of leukocyte telomere length (LTL) with all-cause, cardiovascular disease, and cancer mortality in 12,199 adults participating in 2 population-based prospective cohort studies from Europe (ESTHER) and the United States (Nurses' Health Study). Blood samples were collected in 1989-1990 (Nurses' Health Study) and 2000-2002 (ESTHER). LTL was measured by quantitative polymerase chain reaction. We calculated z scores for LTL to standardize LTL measurements across the cohorts. Cox proportional hazards regression models were used to calculate relative mortality according to continuous levels and quintiles of LTL z scores. The hazard ratios obtained from each cohort were subsequently pooled by meta-analysis. Overall, 2,882 deaths were recorded during follow-up (Nurses' Health Study, 1989-2010; ESTHER, 2000-2015). LTL was inversely associated with age in both cohorts. After adjustment for age, a significant inverse trend of LTL with all-cause mortality was observed in both cohorts. In random-effects meta-analysis, age-adjusted hazard ratios for the shortest LTL quintile compared with the longest were 1.23 (95% confidence interval (CI): 1.04, 1.46) for all-cause mortality, 1.29 (95% CI: 0.83, 2.00) for cardiovascular mortality, and 1.10 (95% CI: 0.88, 1.37) for cancer mortality. In this study population with an age range of 43-75 years, we corroborated previous evidence suggesting that LTL predicts all-cause mortality beyond its association with age.
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Affiliation(s)
- Ute Mons
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Aysel Müezzinler
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Aida Karina Dieffenbach
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- German Cancer Consortium, Heidelberg, Germany
| | - Katja Butterbach
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Matthias Schick
- Genomics and Proteomics Core Facility, German Cancer Research Center, Heidelberg, Germany
| | - Anne Peasey
- Department of Epidemiology and Public Health, Faculty of Population Health Sciences, University College London, London, United Kingdom
| | - Immaculata De Vivo
- Channing Laboratory, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, Massachusetts
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- Department of Hygiene, Epidemiology and Medical Statistics, Medical School, University of Athens, Athens, Greece
| | - Paolo Boffetta
- Hellenic Health Foundation, Athens, Greece
- Institute for Translational Epidemiology and Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Network Aging Research, University of Heidelberg, Heidelberg, Germany
- German Cancer Consortium, Heidelberg, Germany
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22
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Dietary supplement use in the older population of Iceland and association with mortality. Br J Nutr 2017; 117:1463-1469. [PMID: 28606218 DOI: 10.1017/s0007114517001313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Dietary supplements are often used by the elderly to improve their nutritional status. However, intake above the recommended dietary levels may be detrimental, and uncertainty exists on the potential health benefits of supplementation in this population. The aim of this study was to describe supplement use among Icelandic older adults and to assess its association with total mortality and CVD-related mortality. This study used data from the Age Gene/Environment Susceptibility-Reykjavik study, which recruited 5764 participants aged 66-98 years in 2002-2006. Intake of vitamins and minerals from dietary supplements was estimated from interviews. Hazard ratios (HR) for mortality were estimated in multivariate analyses with follow-up ending in 2009. The results showed that most (77 %) of the participants used supplements. Overall, the consumption of vitamins and minerals from supplements was moderate although 22 and 14 % of users exceeded the upper recommended intake levels for vitamin B6 and Zn, respectively. Supplement users followed in general a healthier lifestyle than non-users. There were 1221 deaths including 525 CVD-related deaths during the follow-up period. When comparing multivitamin users with non-users in multivariable models, no associations with total mortality (HR 0·91; 95 % CI: 0·77, 1·08) or CVD-related mortality (HR 0·91; 95 % CI 0·70, 1·18) were observed. In conclusion, users of supplements generally lead healthier lifestyles than non-users and supplements did not confer any added advantage or harm relative to mortality risk. However, the intake of vitamin B6 and Zn from dietary supplements exceeded the recommended daily intake for almost a quarter of the supplement users.
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23
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Freisling H, Arnold M, Soerjomataram I, O'Doherty MG, Ordóñez-Mena JM, Bamia C, Kampman E, Leitzmann M, Romieu I, Kee F, Tsilidis K, Tjønneland A, Trichopoulou A, Boffetta P, Benetou V, Bueno-de-Mesquita HB, Huerta JM, Brenner H, Wilsgaard T, Jenab M. Comparison of general obesity and measures of body fat distribution in older adults in relation to cancer risk: meta-analysis of individual participant data of seven prospective cohorts in Europe. Br J Cancer 2017; 116:1486-1497. [PMID: 28441380 PMCID: PMC5520086 DOI: 10.1038/bjc.2017.106] [Citation(s) in RCA: 80] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2016] [Revised: 03/03/2017] [Accepted: 03/27/2017] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND We evaluated the associations of anthropometric indicators of general obesity (body mass index, BMI), an established risk factor of various cancer, and body fat distribution (waist circumference, WC; hip circumference, HC; and waist-to-hip ratio, WHR), which may better reflect metabolic complications of obesity, with total obesity-related and site-specific (colorectal and postmenopausal breast) cancer incidence. METHODS This is a meta-analysis of seven prospective cohort studies participating in the CHANCES consortium including 18 668 men and 24 751 women with a mean age of 62 and 63 years, respectively. Harmonised individual participant data from all seven cohorts were analysed separately and alternatively for each anthropometric indicator using multivariable Cox proportional hazards models. RESULTS After a median follow-up period of 12 years, 1656 first-incident obesity-related cancers (defined as postmenopausal female breast, colorectum, lower oesophagus, cardia stomach, liver, gallbladder, pancreas, endometrium, ovary, and kidney) had occurred in men and women. In the meta-analysis of all studies, associations between indicators of adiposity, per s.d. increment, and risk for all obesity-related cancers combined yielded the following summary hazard ratios: 1.11 (95% CI 1.02-1.21) for BMI, 1.13 (95% CI 1.04-1.23) for WC, 1.09 (95% CI 0.98-1.21) for HC, and 1.15 (95% CI 1.00-1.32) for WHR. Increases in risk for colorectal cancer were 16%, 21%, 15%, and 20%, respectively per s.d. of BMI, WC, HC, and WHR. Effect modification by hormone therapy (HT) use was observed for postmenopausal breast cancer (Pinteraction<0.001), where never HT users showed an ∼20% increased risk per s.d. of BMI, WC, and HC compared to ever users. CONCLUSIONS BMI, WC, HC, and WHR show comparable positive associations with obesity-related cancers combined and with colorectal cancer in older adults. For postmenopausal breast cancer we report evidence for effect modification by HT use.
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Affiliation(s)
- Heinz Freisling
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69008 Lyon, France
| | - Melina Arnold
- Section of Cancer Surveillance, International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69008 Lyon, France
| | - Isabelle Soerjomataram
- Section of Cancer Surveillance, International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69008 Lyon, France
| | - Mark George O'Doherty
- UKCRC Centre of Excellence for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, University Road, Belfast BT7 1NN, UK
| | - José Manuel Ordóñez-Mena
- Network Aging Research (NAR), Heidelberg University, Bergheimer Straße 20, 69115 Heidelberg, Germany
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120 Heidelberg, Germany
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Woodstock Rd, Oxford OX2 6GG, UK
| | - Christina Bamia
- Hellenic Health Foundation, 13 Kaisareias & Alexandroupoleos, Athens 115 27, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept. of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Mikras Asias 75, Athens 115 27, Greece
| | - Ellen Kampman
- Department Agrotechnology and Food Sciences, Division of Human Nutrition, Wageningen University, PO Box 17, 6700AA Wageningen, The Netherlands
| | - Michael Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Franz-Josef-Strauß-Allee 11, 93053 Regensburg, Germany
| | - Isabelle Romieu
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69008 Lyon, France
| | - Frank Kee
- UKCRC Centre of Excellence for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen’s University Belfast, University Road, Belfast BT7 1NN, UK
| | - Konstantinos Tsilidis
- Hellenic Health Foundation, 13 Kaisareias & Alexandroupoleos, Athens 115 27, Greece
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, University Campus, 45110 Ioannina, Greece
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Strandboulevarden 49, DK 2100 Copenhagen Ø Denmark
| | - Antonia Trichopoulou
- Hellenic Health Foundation, 13 Kaisareias & Alexandroupoleos, Athens 115 27, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept. of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Mikras Asias 75, Athens 115 27, Greece
| | - Paolo Boffetta
- Hellenic Health Foundation, 13 Kaisareias & Alexandroupoleos, Athens 115 27, Greece
- Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029-5674, USA
| | - Vassiliki Benetou
- Hellenic Health Foundation, 13 Kaisareias & Alexandroupoleos, Athens 115 27, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Dept. of Hygiene, Epidemiology and Medical Statistics, Medical School, National and Kapodistrian University of Athens, Mikras Asias 75, Athens 115 27, Greece
| | - H B(as) Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), PO Box 1, 3720 BA Bilthoven, The Netherlands
- Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - José María Huerta
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Ronda de Levante, 11, 30008, Murcia, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fernández Almagro, 3-5, Madrid 28029, Spain
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120 Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Im Neuenheimer Feld 581, 69120 Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120 Heidelberg, Germany
| | - Tom Wilsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, 9037 Tromsø, Norway
| | - Mazda Jenab
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC-WHO), 150 Cours Albert Thomas, 69008 Lyon, France
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Papadimitriou N, Tsilidis KK, Orfanos P, Benetou V, Ntzani EE, Soerjomataram I, Künn-Nelen A, Pettersson-Kymmer U, Eriksson S, Brenner H, Schöttker B, Saum KU, Holleczek B, Grodstein FD, Feskanich D, Orsini N, Wolk A, Bellavia A, Wilsgaard T, Jørgensen L, Boffetta P, Trichopoulos D, Trichopoulou A. Burden of hip fracture using disability-adjusted life-years: a pooled analysis of prospective cohorts in the CHANCES consortium. Lancet Public Health 2017; 2:e239-e246. [PMID: 29253489 DOI: 10.1016/s2468-2667(17)30046-4] [Citation(s) in RCA: 146] [Impact Index Per Article: 20.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Revised: 02/21/2017] [Accepted: 02/22/2017] [Indexed: 02/06/2023]
Abstract
BACKGROUND No studies have estimated disability-adjusted life-years (DALYs) lost due to hip fractures using real-life follow-up cohort data. We aimed to quantify the burden of disease due to incident hip fracture using DALYs in prospective cohorts in the CHANCES consortium, and to calculate population attributable fractions based on DALYs for specific risk factors. METHODS We used data from six cohorts of participants aged 50 years or older at recruitment to calculate DALYs. We applied disability weights proposed by the National Osteoporosis Foundation and did a series of sensitivity analyses to examine the robustness of DALY estimates. We calculated population attributable fractions for smoking, body-mass index (BMI), physical activity, alcohol intake, type 2 diabetes and parity, use of hormone replacement therapy, and oral contraceptives in women. We calculated summary risk estimates across cohorts with pooled analysis and random-effects meta-analysis methods. FINDINGS 223 880 men and women were followed up for a mean of 13 years (SD 6). 7724 (3·5%) participants developed an incident hip fracture, of whom 413 (5·3%) died as a result. 5964 DALYs (27 per 1000 individuals) were lost due to hip fractures, 1230 (20·6%) of which were in the group aged 75-79 years. 4150 (69·6%) DALYs were attributed to disability. Current smoking was the risk factor responsible for the greatest hip fracture burden (7·5%, 95% CI 5·2-9·7) followed by physical inactivity (5·5%, 2·1-8·5), history of diabetes (2·8%, 2·1-4·0), and low to average BMI (2·0%, 1·4-2·7), whereas low alcohol consumption (0·01-2·5 g per day) and high BMI had a protective effect. INTERPRETATION Hip fracture can lead to a substantial loss of healthy life-years in elderly people. National public health policies should be strengthened to reduce hip fracture incidence and mortality. Primary prevention measures should be strengthened to prevent falls, and reduce smoking and a sedentary lifestyle. FUNDING European Community's Seventh Framework Programme.
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Affiliation(s)
- Nikos Papadimitriou
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Konstantinos K Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece; Hellenic Health Foundation, Athens, Greece; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
| | - Philippos Orfanos
- Hellenic Health Foundation, Athens, Greece; WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece
| | - Vassiliki Benetou
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece
| | - Evangelia E Ntzani
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece; Center for Evidence-Based Medicine, Department of Health Services, Policy and Practice, School of Public Health, Brown University, RI, USA
| | | | - Annemarie Künn-Nelen
- Department of Health Economics and Management, University of Wuppertal, Wuppertal, Germany; Research Centre for Education and the Labour Market, Maastricht University, Maastricht, Netherlands
| | | | - Sture Eriksson
- Department of Biobank Research, Umeå University, Umeå, Sweden
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Preventive Oncology, National Center for Tumor Diseases, German Cancer Research Center (DKFZ), Heidelberg, Germany; German Cancer Consortium, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Network Aging Research, University of Heidelberg, Heidelberg, Germany; Institute of Health Care and Social Management, FOM University of Applied Sciences, Essen, Germany
| | - Kai-Uwe Saum
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Francine D Grodstein
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston MA, USA
| | - Diane Feskanich
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston MA, USA
| | - Nicola Orsini
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Andrea Bellavia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Tom Wilsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Lone Jørgensen
- Department of Health and Care Sciences, UiT The Arctic University of Norway, Tromsø, Norway; Department of Clinical Therapeutic Services, University Hospital of Northern Norway, Tromsø, Norway
| | - Paolo Boffetta
- Hellenic Health Foundation, Athens, Greece; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Dimitrios Trichopoulos
- Hellenic Health Foundation, Athens, Greece; Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA; Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece; WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, School of Medicine, Athens, Greece
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25
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Berendsen AA, Kang JH, van de Rest O, Jankovic N, Kampman E, Kiefte-de Jong JC, Franco OH, Ikram MA, Pikhart H, Nilsson LM, Brenner H, Boffetta P, Rafnsson SB, Gustafson D, Kyrozis A, Trichopoulou A, Feskens EJ, Grodstein F, de Groot LC. Association of Adherence to a Healthy Diet with Cognitive Decline in European and American Older Adults: A Meta-Analysis within the CHANCES Consortium. Dement Geriatr Cogn Disord 2017; 43:215-227. [PMID: 28324877 PMCID: PMC5447176 DOI: 10.1159/000464269] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/18/2017] [Indexed: 01/09/2023] Open
Abstract
AIM To examine the association between a healthy diet, assessed by the Healthy Diet Indicator (HDI), and cognitive decline in older adults. METHODS Data from 21,837 participants aged ≥55 years from 3 cohorts (Survey in Europe on Nutrition and the Elderly, a Concerted Action [SENECA], Rotterdam Study [RS], Nurses' Health Study [NHS]) were analyzed. HDI scores were based on intakes of saturated fatty acids, polyunsaturated fatty acids, mono- and disaccharides, protein, cholesterol, fruits and vegetables, and fiber. The Telephone Interview for Cognitive Status in NHS and Mini-Mental State Examination in RS and SENECA were used to assess cognitive function from multiple repeated measures. Using multivariable-adjusted, mixed linear regression, mean differences in annual rates of cognitive decline by HDI quintiles were estimated. RESULTS Multivariable-adjusted differences in rates in the highest versus the lowest HDI quintile were 0.01 (95% CI -0.01, 0.02) in NHS, 0.00 (95% CI -0.02, 0.01) in RS, and 0.00 (95% CI -0.05, 0.05) in SENECA with a pooled estimate of 0.00 (95% CI -0.01, 0.01), I2 = 0%. CONCLUSIONS A higher HDI score was not related to reduced rates of cognitive decline in European and American older adults.
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Affiliation(s)
- Agnes A.M. Berendsen
- Division of Human Nutrition, Wageningen University & Research, Wageningen, The Netherlands,*Agnes A.M. Berendsen, Division of Human Nutrition, Wageningen University & Research, PO Box 17, NL-6700 AA Wageningen (The Netherlands), E-Mail
| | - Jae H. Kang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital/Harvard Medical School, Boston, MA, USA
| | - Ondine van de Rest
- Division of Human Nutrition, Wageningen University & Research, Wageningen, The Netherlands
| | - Nicole Jankovic
- Centre of Clinical Epidemiology, Institute for Medical Informatics, Biometry and Epidemiology, Faculty of Medicine, University Duisburg-Essen, Essen, Germany
| | - Ellen Kampman
- Division of Human Nutrition, Wageningen University & Research, Wageningen, The Netherlands
| | - Jessica C. Kiefte-de Jong
- Department of Epidemiology, Erasmus MC, Rotterdam,Global Public Health, Leiden University College, Leiden, The Netherlands
| | | | | | - Hynek Pikhart
- Research Department of Epidemiology and Public Health, University College London, London, UK
| | - Lena Maria Nilsson
- Public Health and Clinical Medicine, Nutritional Research, and Arcum, Arctic Research Centre at Umeå University, Umeå, Sweden
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany,Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Paolo Boffetta
- Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Snorri Bjorn Rafnsson
- Research Department of Epidemiology and Public Health, University College London, London, UK,Centre for Primary Health and Social Care, Faculty of Social Sciences and Humanities, London Metropolitan University, London, UK
| | - Deborah Gustafson
- NeuroPsychiatric Epidemiology Unit, Institute for Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden,Department of Neurology, SUNY-Downstate Medical Center, Brooklyn, NY, USA
| | - Andreas Kyrozis
- Hellenic Health Foundation, National and Kapodistrian University of Athens, Athens, Greece,1st Department of Neurology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Antonia Trichopoulou
- Hellenic Health Foundation, National and Kapodistrian University of Athens, Athens, Greece
| | - Edith J.M. Feskens
- Division of Human Nutrition, Wageningen University & Research, Wageningen, The Netherlands
| | - Francine Grodstein
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital/Harvard Medical School, Boston, MA, USA,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard, MA, USA
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26
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Katsoulis M, Benetou V, Karapetyan T, Feskanich D, Grodstein F, Pettersson-Kymmer U, Eriksson S, Wilsgaard T, Jørgensen L, Ahmed LA, Schöttker B, Brenner H, Bellavia A, Wolk A, Kubinova R, Stegeman B, Bobak M, Boffetta P, Trichopoulou A. Excess mortality after hip fracture in elderly persons from Europe and the USA: the CHANCES project. J Intern Med 2017; 281:300-310. [PMID: 28093824 DOI: 10.1111/joim.12586] [Citation(s) in RCA: 213] [Impact Index Per Article: 30.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Hip fractures are associated with diminished quality of life and survival especially amongst the elderly. OBJECTIVE All-cause mortality after hip fracture was investigated to assess its magnitude. METHODS A total of 122 808 participants from eight cohorts in Europe and the USA were followed up for a mean of 12.6 years, accumulating 4273 incident hip fractures and 27 999 deaths. Incident hip fractures were assessed through telephone interviews/questionnaires or national inpatient/fracture registries, and causes of death were verified with death certificates. Cox proportional hazards models and the time-dependent variable methodology were used to assess the association between hip fracture and mortality and its magnitude at different time intervals after the injury in each cohort. We obtained the effect estimates through a random-effects meta-analysis. RESULTS Hip fracture was positively associated with increased all-cause mortality; the hazard ratio (HR) in the fully adjusted model was 2.12, 95% confidence interval (CI) 1.76-2.57, after adjusting for potential confounders. This association was stronger amongst men [HR: 2.39, 95% CI: 1.72-3.31] than amongst women [HR: 1.92, 95% CI: 1.54-2.39], although this difference was not significant. Mortality was higher during the first year after the hip fracture [HR: 2.78, 95% CI: 2.12-3.64], but it remained elevated without major fluctuations after longer time since hip fracture [HR (95% CI): 1.89 (1.50-2.37) after 1-4 years; 2.15 (1.81-2.55) after 4-8 years; 1.79 (1.57-2.05) after 8 or more years]. CONCLUSION In this large population-based sample of older persons across eight cohorts, hip fracture was associated with excess short- and long-term all-cause mortality in both sexes.
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Affiliation(s)
| | - V Benetou
- School of Medicine, Department of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Athens, Greece
| | | | - D Feskanich
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - F Grodstein
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - U Pettersson-Kymmer
- Department of Pharmacology and Clinical Neurosciences and Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - S Eriksson
- Faculty of Medicine, Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå University, Umeå, Sweden
| | - T Wilsgaard
- Department of Community Medicine, UIT The Arctic University of Norway, Tromsø, Norway
| | - L Jørgensen
- Department of Health and Care Sciences, UIT The Arctic University of Norway, Tromsø, Norway
| | - L A Ahmed
- Department of Health and Care Sciences, UIT The Arctic University of Norway, Tromsø, Norway.,Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, UAE
| | - B Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - H Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - A Bellavia
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - A Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - R Kubinova
- National Institute of Public Health, Prague, Czech Republic
| | - B Stegeman
- Department of Epidemiology and Public Health, University College London, London, UK
| | - M Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
| | - P Boffetta
- Hellenic Health Foundation, Athens, Greece.,Institute for Translational Epidemiology and Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Alcoholic beverage preference and diabetes incidence across Europe: the Consortium on Health and Ageing Network of Cohorts in Europe and the United States (CHANCES) project. Eur J Clin Nutr 2017; 71:659-668. [DOI: 10.1038/ejcn.2017.4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2016] [Revised: 11/25/2016] [Accepted: 12/28/2016] [Indexed: 12/12/2022]
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28
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Fortier I, Raina P, Van den Heuvel ER, Griffith LE, Craig C, Saliba M, Doiron D, Stolk RP, Knoppers BM, Ferretti V, Granda P, Burton P. Maelstrom Research guidelines for rigorous retrospective data harmonization. Int J Epidemiol 2017; 46:103-105. [PMID: 27272186 PMCID: PMC5407152 DOI: 10.1093/ije/dyw075] [Citation(s) in RCA: 85] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/16/2016] [Indexed: 12/26/2022] Open
Abstract
Background It is widely accepted and acknowledged that data harmonization is crucial: in its absence, the co-analysis of major tranches of high quality extant data is liable to inefficiency or error. However, despite its widespread practice, no formalized/systematic guidelines exist to ensure high quality retrospective data harmonization. Methods To better understand real-world harmonization practices and facilitate development of formal guidelines, three interrelated initiatives were undertaken between 2006 and 2015. They included a phone survey with 34 major international research initiatives, a series of workshops with experts, and case studies applying the proposed guidelines. Results A wide range of projects use retrospective harmonization to support their research activities but even when appropriate approaches are used, the terminologies, procedures, technologies and methods adopted vary markedly. The generic guidelines outlined in this article delineate the essentials required and describe an interdependent step-by-step approach to harmonization: 0) define the research question, objectives and protocol; 1) assemble pre-existing knowledge and select studies; 2) define targeted variables and evaluate harmonization potential; 3) process data; 4) estimate quality of the harmonized dataset(s) generated; and 5) disseminate and preserve final harmonization products. Conclusions This manuscript provides guidelines aiming to encourage rigorous and effective approaches to harmonization which are comprehensively and transparently documented and straightforward to interpret and implement. This can be seen as a key step towards implementing guiding principles analogous to those that are well recognised as being essential in securing the foundational underpinning of systematic reviews and the meta-analysis of clinical trials.
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Affiliation(s)
- Isabel Fortier
- Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Parminder Raina
- McMaster University, Department of Clinical Epidemiology and Biostatistics, Hamilton, ON, Canada
| | - Edwin R Van den Heuvel
- Eindhoven University of Technology, Department of Mathematics and Computer Science, Eindhoven, The Netherlands
| | - Lauren E Griffith
- McMaster University, Department of Clinical Epidemiology and Biostatistics, Hamilton, ON, Canada
| | - Camille Craig
- Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Matilda Saliba
- Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Dany Doiron
- Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Ronald P Stolk
- University Medical Center Groningen, Department of Epidemiology, Groningen, Groningen, The Netherlands
| | - Bartha M Knoppers
- McGill University, Centre of Genomics and Policy, Montreal, Montrreal, QC, Canada
| | - Vincent Ferretti
- Ontario Institute for Cancer Research, MaRS Centre, Toronto, ON, Canada
| | - Peter Granda
- University of Michigan, Inter-university Consortium for Political and Social Research (ICPSR), Ann Arbor, MI, USA
| | - Paul Burton
- University of Bristol, D2K Research Group, School of Social and Community Medicine, Bristol, UK
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Lövheim H, Elgh F, Johansson A, Zetterberg H, Blennow K, Hallmans G, Eriksson S. Plasma concentrations of free amyloid β cannot predict the development of Alzheimer's disease. Alzheimers Dement 2017; 13:778-782. [PMID: 28073031 DOI: 10.1016/j.jalz.2016.12.004] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Accepted: 12/01/2016] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Biomarkers that identify individuals at risk of Alzheimer's disease (AD) development would be highly valuable. Plasma concentration of amyloid β (Aβ)-central in the pathogenesis of AD-is a logical candidate, but studies to date have produced conflicting results on its utility. METHODS Plasma samples from 339 preclinical AD cases (76.4% women, mean age 61.3 years) and 339 age- and sex-matched dementia-free controls, taken an average of 9.4 years before AD diagnosis, were analyzed using Luminex xMAP technology and INNO-BIA plasma Aβ form assays to determine concentrations of free plasma Aβ40 and Aβ42. RESULTS Plasma concentrations of free Aβ40 and Aβ42 did not differ between preclinical AD cases and dementia-free controls, in the full sample or in subgroups defined according to sex and age group (<60 and ≥ 60 years). The interval between sampling and AD diagnosis did not affect the results. Aβ concentrations did not change in the years preceding AD diagnosis among individuals for whom longitudinal samples were available. DISCUSSION Plasma concentrations of free Aβ could not predict the development of clinical AD, and Aβ concentrations did not change in the years preceding AD diagnosis in this sample. These results indicate that free plasma Aβ is not a useful biomarker for the identification of individuals at risk of developing clinical AD.
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Affiliation(s)
- Hugo Lövheim
- Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå University, Umeå, Sweden.
| | - Fredrik Elgh
- Department of Clinical Microbiology, Virology, Umeå University, Umeå, Sweden
| | - Anders Johansson
- Department of Odontology, Umeå University, Umeå, Sweden; Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Göran Hallmans
- Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden; Department of Biobank Research, Umeå University, Umeå, Sweden
| | - Sture Eriksson
- Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå University, Umeå, Sweden; Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
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30
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Jankovic N, Geelen A, Winkels RM, Mwungura B, Fedirko V, Jenab M, Illner AK, Brenner H, Ordóñez-Mena JM, Kiefte de Jong JC, Franco OH, Orfanos P, Trichopoulou A, Boffetta P, Agudo A, Peeters PH, Tjønneland A, Hallmans G, Bueno-de-Mesquita HB, Park Y, Feskens EJ, de Groot LC, Kampman E. Adherence to the WCRF/AICR Dietary Recommendations for Cancer Prevention and Risk of Cancer in Elderly from Europe and the United States: A Meta-Analysis within the CHANCES Project. Cancer Epidemiol Biomarkers Prev 2017; 26:136-144. [PMID: 27793797 PMCID: PMC5225095 DOI: 10.1158/1055-9965.epi-16-0428] [Citation(s) in RCA: 55] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2016] [Revised: 09/16/2016] [Accepted: 09/23/2016] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND It is unknown whether dietary recommendations for cancer prevention are applicable to the elderly. We analyzed WCRF/AICR recommendations in cohorts of European and U.S. adults ages 60 years and above. METHODS Individual participant data meta-analysis included 362,114 participants (43% women), from seven prospective cohort studies, free from cancer at enrollment. The WCRF/AICR diet score was based on: (i) energy-dense foods and sugary drinks, (ii) plant foods, (iii) red and processed meat, and (iv) alcoholic drinks. Cox proportional hazards regression was used to examine the association between the diet score and cancer risks. Adjusted, cohort-specific HRs were pooled using random-effects meta-analysis. Risk advancement periods (RAP) were calculated to quantify the time period by which the risk of cancer was postponed among those adhering to the recommendations. RESULTS After a median follow-up of 11 to 15 years across cohorts, 70,877 cancer cases were identified. Each one-point increase in the WCRF/AICR diet score [range, 0 (no) to 4 (complete adherence)] was significantly associated with a lower risk of total cancer [HR, 0.94; 95% confidence interval (CI), 0.92-0.97], cancers of the colorectum (HR, 0.84; 95% CI, 0.80-0.89) and prostate (HR, 0.94; 95% CI, 0.92-0.97), but not breast or lung. Adherence to an additional component of the WCRF/AICR diet score significantly postponed the incidence of cancer at any site by 1.6 years (RAP, -1.6; 95% CI, -4.09 to -2.16). CONCLUSIONS Adherence to WCRF/AICR dietary recommendations is associated with lower risk of cancer among older adults. IMPACT Dietary recommendations for cancer prevention are applicable to the elderly. Cancer Epidemiol Biomarkers Prev; 26(1); 136-44. ©2016 AACR.
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Affiliation(s)
- Nicole Jankovic
- Department Agrotechnology and Food Sciences, Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands.
- Institute for Medical Informatics, Biometry and Epidemiology, Centre of Clinical Epidemiology, Faculty of Medicine, University Duisburg-Essen, Essen, Germany
| | - Anouk Geelen
- Department Agrotechnology and Food Sciences, Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - Renate M Winkels
- Department Agrotechnology and Food Sciences, Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - Blaise Mwungura
- Department Agrotechnology and Food Sciences, Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - Veronika Fedirko
- Department of Epidemiology, Rollins School of Public Health, Winship Cancer Institute, Emory University, Atlanta, Georgia
| | - Mazda Jenab
- Department Nutritional Epidemiology, International Agency for Research on Cancer, Lyon, France
| | - Anne K Illner
- Department of Nutrition & Health Sciences, Institut Polytechnique LaSalle Beauvais, Beauvais, France
- Department of Dietary Exposure Assessment, Section of Nutrition and Metabolism, International Agency for Research on Cancer, Lyon, France
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - José M Ordóñez-Mena
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jessica C Kiefte de Jong
- Department of Epidemiology, Erasmus Medical Centre Rotterdam, University Medical Centre Rotterdam, Rotterdam, The Netherlands
- Global Public Health, Leiden University College, The Hague, The Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus Medical Centre Rotterdam, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Philippos Orfanos
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, University of Athens, Athens, Greece
- Hellenic Health Foundation, Athens, Greece
| | - Antonia Trichopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, University of Athens, Athens, Greece
- Hellenic Health Foundation, Athens, Greece
| | - Paolo Boffetta
- Hellenic Health Foundation, Athens, Greece
- The Tisch Cancer Institute and Institute for Translational Epidemiology, Mount Sinai School of Medicine, New York, New York
| | - Antonio Agudo
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO-IDIBELL), Barcelona, Spain
| | - Petra H Peeters
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | | | - Göran Hallmans
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - H Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom
- Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Yikyung Park
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, Missouri
| | - Edith J Feskens
- Department Agrotechnology and Food Sciences, Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - Lisette C de Groot
- Department Agrotechnology and Food Sciences, Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - Ellen Kampman
- Department Agrotechnology and Food Sciences, Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
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31
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Lövheim H, Elgh F, Johansson A, Zetterberg H, Blennow K, Hallmans G, Eriksson S. Withdrawn: Plasma concentrations of free amyloid-β cannot predict the development of Alzheimer's disease. Alzheimers Dement 2016:S1552-5260(16)32896-5. [PMID: 27693182 DOI: 10.1016/j.jalz.2016.08.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 08/26/2016] [Indexed: 11/16/2022]
Abstract
The Publisher regrets that this article is an accidental duplication of an article that has already been published, DOI of original article: http://dx.doi.org/10.1016/j.jalz.2016.12.004. The duplicate article has therefore been withdrawn. The full Elsevier Policy on Article Withdrawal can be found at http://www.elsevier.com/locate/withdrawalpolicy.
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Affiliation(s)
- Hugo Lövheim
- Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå University, Umeå, Sweden
| | - Fredrik Elgh
- Department of Clinical Microbiology, Virology, Umeå University, Umeå, Sweden
| | - Anders Johansson
- Department of Odontology, Umeå University, Umeå, Sweden; Department of Biobank Research, Umeå University, Umeå, Sweden; Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Göran Hallmans
- Department of Biobank Research, Umeå University, Umeå, Sweden; Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
| | - Sture Eriksson
- Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå University, Umeå, Sweden; Department of Biobank Research, Umeå University, Umeå, Sweden; Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden
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32
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Arnold M, Freisling H, Stolzenberg-Solomon R, Kee F, O'Doherty MG, Ordóñez-Mena JM, Wilsgaard T, May AM, Bueno-de-Mesquita HB, Tjønneland A, Orfanos P, Trichopoulou A, Boffetta P, Bray F, Jenab M, Soerjomataram I. Overweight duration in older adults and cancer risk: a study of cohorts in Europe and the United States. Eur J Epidemiol 2016; 31:893-904. [PMID: 27300353 PMCID: PMC5920679 DOI: 10.1007/s10654-016-0169-z] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Accepted: 05/28/2016] [Indexed: 01/22/2023]
Abstract
Recent studies have shown that cancer risk related to overweight and obesity is mediated by time and might be better approximated by using life years lived with excess weight. In this study we aimed to assess the impact of overweight duration and intensity in older adults on the risk of developing different forms of cancer. Study participants from seven European and one US cohort study with two or more weight assessments during follow-up were included (n = 329,576). Trajectories of body mass index (BMI) across ages were estimated using a quadratic growth model; overweight duration (BMI ≥ 25) and cumulative weighted overweight years were calculated. In multivariate Cox models and random effects analyses, a longer duration of overweight was significantly associated with the incidence of obesity-related cancer [overall hazard ratio (HR) per 10-year increment: 1.36; 95 % CI 1.12-1.60], but also increased the risk of postmenopausal breast and colorectal cancer. Additionally accounting for the degree of overweight further increased the risk of obesity-related cancer. Risks associated with a longer overweight duration were higher in men than in women and were attenuated by smoking. For postmenopausal breast cancer, increased risks were confined to women who never used hormone therapy. Overall, 8.4 % of all obesity-related cancers could be attributed to overweight at any age. These findings provide further insights into the role of overweight duration in the etiology of cancer and indicate that weight control is relevant at all ages. This knowledge is vital for the development of effective and targeted cancer prevention strategies.
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Affiliation(s)
- Melina Arnold
- Section of Cancer Surveillance, International Agency for Research on Cancer, 150 Cours Albert Thomas, 69008, Lyon, France.
| | - Heinz Freisling
- Section of Nutrition and Metabolism, Dietary Exposure Assessment Group, International Agency for Research on Cancer, 150 Cours Albert Thomas, 69008, Lyon, France
| | - Rachael Stolzenberg-Solomon
- Division of Cancer Epidemiology and Genetics, Nutritional Epidemiology Branch, National Cancer Institute (NCI/DCEG), 9609 Medical Center Drive, Bethesda, MD, 20892, USA
| | - Frank Kee
- UKCRC Centre of Excellence for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, University Road, Belfast, BT7 1NN, Northern Ireland, UK
| | - Mark George O'Doherty
- UKCRC Centre of Excellence for Public Health, School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, University Road, Belfast, BT7 1NN, Northern Ireland, UK
| | - José Manuel Ordóñez-Mena
- Network Aging Research (NAR), Heidelberg University, Bergheimer Straße 20, 69115, Heidelberg, Germany
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Tom Wilsgaard
- Department of Community Medicine, The Arctic University of Norway, 9037, Tromsø, Norway
| | - Anne Maria May
- Juliu Center for Health Sciences and Primary Care, Epidemiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Hendrik Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), PO Box 1, 3720 BA, Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Huispost Str. 6.131, 3508 GA, Utrecht, The Netherlands
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, UK
- Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Anne Tjønneland
- Danish Cancer Society Research Center, Strandboulevarden 49, 2100, Copenhagen Ø, Denmark
| | - Philippos Orfanos
- Hellenic Health Foundation, 13 Kaisareias & Alexandroupoleos, 115 27, Athens, Greece
| | - Antonia Trichopoulou
- Hellenic Health Foundation, 13 Kaisareias & Alexandroupoleos, 115 27, Athens, Greece
- Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Mikras Asias 75, 115 27, Athens, Greece
| | - Paolo Boffetta
- Hellenic Health Foundation, 13 Kaisareias & Alexandroupoleos, 115 27, Athens, Greece
- Institute for Translational Epidemiology and Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1128, New York, NY, 10029-6574, USA
| | - Freddie Bray
- Section of Cancer Surveillance, International Agency for Research on Cancer, 150 Cours Albert Thomas, 69008, Lyon, France
| | - Mazda Jenab
- Section of Nutrition and Metabolism, Nutritional Epidemiology Group, International Agency for Research on Cancer, 150 Cours Albert Thomas, 69008, Lyon, France
| | - Isabelle Soerjomataram
- Section of Cancer Surveillance, International Agency for Research on Cancer, 150 Cours Albert Thomas, 69008, Lyon, France
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Benetou V, Orfanos P, Feskanich D, Michaëlsson K, Pettersson-Kymmer U, Eriksson S, Grodstein F, Wolk A, Bellavia A, Ahmed LA, Boffeta P, Trichopoulou A. Fruit and Vegetable Intake and Hip Fracture Incidence in Older Men and Women: The CHANCES Project. J Bone Miner Res 2016; 31:1743-52. [PMID: 27061845 DOI: 10.1002/jbmr.2850] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Revised: 03/22/2016] [Accepted: 04/07/2016] [Indexed: 12/20/2022]
Abstract
The role of fruit and vegetable intake in relation to fracture prevention during adulthood and beyond is not adequately understood. We investigated the potential association between fruit and vegetable intake and hip fracture incidence in a large sample of older adults from Europe and the United States. A total of 142,018 individuals (116,509 women) aged ≥60 years, from five cohorts, were followed up prospectively for 1,911,482 person-years, accumulating 5552 hip fractures. Fruit and vegetable intake was assessed by validated, cohort-specific, food-frequency questionnaires (FFQ). Ηip fractures were ascertained through national patient registers or telephone interviews/questionnaires. Adjusted hazard ratios (HRs) derived by Cox proportional hazards regression were estimated for each cohort and subsequently pooled using random effects meta-analysis. Intake of ≤1 serving/day of fruit and vegetables combined was associated with 39% higher hip fracture risk (pooled adjusted HR, 1.39; 95% confidence interval [CI], 1.20 to 1.58) in comparison with moderate intake (>3 and ≤5 servings/day) (pfor heterogeneity = 0.505), whereas higher intakes (>5 servings/day) were not associated with lower risk in comparison with the same reference. Associations were more evident among women. We concluded that a daily intake of 1 or <1 servings of fruits and vegetables was associated with increased hip fracture risk in relation to moderate daily intakes. Older adults with such low fruit and vegetable consumption may benefit from raising their intakes to moderate amounts in order to reduce their hip fracture risk. © 2016 American Society for Bone and Mineral Research.
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Affiliation(s)
- Vassiliki Benetou
- Department of Hygiene, Epidemiology, and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Hellenic Health Foundation, Athens, Greece
| | - Philippos Orfanos
- Department of Hygiene, Epidemiology, and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Hellenic Health Foundation, Athens, Greece
| | - Diane Feskanich
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Karl Michaëlsson
- Department of Surgical Sciences, Section of Orthopedics, Uppsala University, Uppsala, Sweden
| | - Ulrika Pettersson-Kymmer
- Department of Pharmacology and Clinical Neurosciences, Umeå University, Umeå, Sweden.,Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Sture Eriksson
- Department of Community Medicine, Umeå University, Umeå, Sweden
| | - Francine Grodstein
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Alicja Wolk
- Institute of Environmental Medicine, Division of Nutritional Epidemiology, Karolinska Institute, Stockholm, Sweden
| | - Andrea Bellavia
- Institute of Environmental Medicine, Division of Nutritional Epidemiology, Karolinska Institute, Stockholm, Sweden
| | - Luai A Ahmed
- Department of Health and Care Sciences, Faculty of Health Sciences, UiT-the Arctic University of Norway, Tromsø, Norway.,Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Paolo Boffeta
- Institute for Translational Epidemiology and Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Antonia Trichopoulou
- Department of Hygiene, Epidemiology, and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Hellenic Health Foundation, Athens, Greece
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34
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Sluik D, Jankovic N, O’Doherty MG, Geelen A, Schöttker B, Rolandsson O, Kiefte-de Jong JC, Ferrieres J, Bamia C, Fransen HP, Boer JMA, Eriksson S, Martínez B, Huerta JM, Kromhout D, de Groot LCPGM, Franco OH, Trichopoulou A, Boffetta P, Kee F, Feskens EJM. Alcoholic Beverage Preference and Dietary Habits in Elderly across Europe: Analyses within the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES) Project. PLoS One 2016; 11:e0161603. [PMID: 27548323 PMCID: PMC4993358 DOI: 10.1371/journal.pone.0161603] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 08/08/2016] [Indexed: 01/04/2023] Open
Abstract
Introduction The differential associations of beer, wine, and spirit consumption on cardiovascular risk found in observational studies may be confounded by diet. We described and compared dietary intake and diet quality according to alcoholic beverage preference in European elderly. Methods From the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES), seven European cohorts were included, i.e. four sub-cohorts from EPIC-Elderly, the SENECA Study, the Zutphen Elderly Study, and the Rotterdam Study. Harmonized data of 29,423 elderly participants from 14 European countries were analyzed. Baseline data on consumption of beer, wine, and spirits, and dietary intake were collected with questionnaires. Diet quality was assessed using the Healthy Diet Indicator (HDI). Intakes and scores across categories of alcoholic beverage preference (beer, wine, spirit, no preference, non-consumers) were adjusted for age, sex, socio-economic status, self-reported prevalent diseases, and lifestyle factors. Cohort-specific mean intakes and scores were calculated as well as weighted means combining all cohorts. Results In 5 of 7 cohorts, persons with a wine preference formed the largest group. After multivariate adjustment, persons with a wine preference tended to have a higher HDI score and intake of healthy foods in most cohorts, but differences were small. The weighted estimates of all cohorts combined revealed that non-consumers had the highest fruit and vegetable intake, followed by wine consumers. Non-consumers and persons with no specific preference had a higher HDI score, spirit consumers the lowest. However, overall diet quality as measured by HDI did not differ greatly across alcoholic beverage preference categories. Discussion This study using harmonized data from ~30,000 elderly from 14 European countries showed that, after multivariate adjustment, dietary habits and diet quality did not differ greatly according to alcoholic beverage preference.
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Affiliation(s)
- Diewertje Sluik
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
- * E-mail:
| | - Nicole Jankovic
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
- Centre of Clinical Epidemiology, Institute for Medical Informatics, Biometry and Epidemiology, Faculty of Medicine, University Duisburg-Essen, Essen, Germany
| | - Mark G. O’Doherty
- UKCRC Centre of Excellence for Public Health, Queens University Belfast, Belfast, Northern Ireland
| | - Anouk Geelen
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Institute of Health Care and Social Sciences, FOM University, Essen, Germany
| | - Olov Rolandsson
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Jessica C. Kiefte-de Jong
- Global Public Health, Leiden University College, the Hague, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jean Ferrieres
- Department of Cardiology, Toulouse University School of Medicine, Toulouse, France
| | - Christina Bamia
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Heidi P. Fransen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jolanda M. A. Boer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Sture Eriksson
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Begoña Martínez
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs.Granada, Hospitales Universitaios de Granada/Universidad de Granada, Granada, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - José María Huerta
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
| | - Daan Kromhout
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
| | | | - Oscar H. Franco
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Paolo Boffetta
- Hellenic Health Foundation, Athens, Greece
- Icahn School of Medicine, Mount Sinai School of Medicine, New York, United States of America
| | - Frank Kee
- UKCRC Centre of Excellence for Public Health, Queens University Belfast, Belfast, Northern Ireland
| | - Edith J. M. Feskens
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
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Fruit and vegetable intake and risk of incident of type 2 diabetes: results from the consortium on health and ageing network of cohorts in Europe and the United States (CHANCES). Eur J Clin Nutr 2016; 71:83-91. [PMID: 27530474 DOI: 10.1038/ejcn.2016.143] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Revised: 06/30/2016] [Accepted: 07/11/2016] [Indexed: 01/04/2023]
Abstract
BACKGROUND/OBJECTIVES There is limited information to support definitive recommendations concerning the role of diet in the development of type 2 Diabetes mellitus (T2DM). The results of the latest meta-analyses suggest that an increased consumption of green leafy vegetables may reduce the incidence of diabetes, with either no association or weak associations demonstrated for total fruit and vegetable intake. Few studies have, however, focused on older subjects. SUBJECTS/METHODS The relationship between T2DM and fruit and vegetable intake was investigated using data from the NIH-AARP study and the EPIC Elderly study. All participants below the age of 50 and/or with a history of cancer, diabetes or coronary heart disease were excluded from the analysis. Multivariate logistic regression analysis was used to calculate the odds ratio of T2DM comparing the highest with the lowest estimated portions of fruit, vegetable, green leafy vegetables and cabbage intake. RESULTS Comparing people with the highest and lowest estimated portions of fruit, vegetable or green leafy vegetable intake indicated no association with the risk of T2DM. However, although the pooled OR across all studies showed no effect overall, there was significant heterogeneity across cohorts and independent results from the NIH-AARP study showed that fruit and green leafy vegetable intake was associated with a reduced risk of T2DM OR 0.95 (95% CI 0.91,0.99) and OR 0.87 (95% CI 0.87,0.90) respectively. CONCLUSIONS Fruit and vegetable intake was not shown to be related to incident T2DM in older subjects. Summary analysis also found no associations between green leafy vegetable and cabbage intake and the onset of T2DM. Future dietary pattern studies may shed light on the origin of the heterogeneity across populations.
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Tsilidis KK, Papadimitriou N, Capothanassi D, Bamia C, Benetou V, Jenab M, Freisling H, Kee F, Nelen A, O'Doherty MG, Scott A, Soerjomataram I, Tjønneland A, May AM, Ramón Quirós J, Pettersson-Kymmer U, Brenner H, Schöttker B, Ordóñez-Mena JM, Karina Dieffenbach A, Eriksson S, Bøgeberg Mathiesen E, Njølstad I, Siganos G, Wilsgaard T, Boffetta P, Trichopoulos D, Trichopoulou A. Burden of Cancer in a Large Consortium of Prospective Cohorts in Europe. J Natl Cancer Inst 2016; 108:djw127. [DOI: 10.1093/jnci/djw127] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Accepted: 04/06/2016] [Indexed: 11/13/2022] Open
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Ordóñez-Mena JM, Schöttker B, Mons U, Jenab M, Freisling H, Bueno-de-Mesquita B, O’Doherty MG, Scott A, Kee F, Stricker BH, Hofman A, de Keyser CE, Ruiter R, Söderberg S, Jousilahti P, Kuulasmaa K, Freedman ND, Wilsgaard T, de Groot LCPGM, Kampman E, Håkansson N, Orsini N, Wolk A, Nilsson LM, Tjønneland A, Pająk A, Malyutina S, Kubínová R, Tamosiunas A, Bobak M, Katsoulis M, Orfanos P, Boffetta P, Trichopoulou A, Brenner H. Quantification of the smoking-associated cancer risk with rate advancement periods: meta-analysis of individual participant data from cohorts of the CHANCES consortium. BMC Med 2016; 14:62. [PMID: 27044418 PMCID: PMC4820956 DOI: 10.1186/s12916-016-0607-5] [Citation(s) in RCA: 101] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2016] [Accepted: 03/18/2016] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Smoking is the most important individual risk factor for many cancer sites but its association with breast and prostate cancer is not entirely clear. Rate advancement periods (RAPs) may enhance communication of smoking related risk to the general population. Thus, we estimated RAPs for the association of smoking exposure (smoking status, time since smoking cessation, smoking intensity, and duration) with total and site-specific (lung, breast, colorectal, prostate, gastric, head and neck, and pancreatic) cancer incidence and mortality. METHODS This is a meta-analysis of 19 population-based prospective cohort studies with individual participant data for 897,021 European and American adults. For each cohort we calculated hazard ratios (HRs) for the association of smoking exposure with cancer outcomes using Cox regression adjusted for a common set of the most important potential confounding variables. RAPs (in years) were calculated as the ratio of the logarithms of the HRs for a given smoking exposure variable and age. Meta-analyses were employed to summarize cohort-specific HRs and RAPs. RESULTS Overall, 140,205 subjects had a first incident cancer, and 53,164 died from cancer, during an average follow-up of 12 years. Current smoking advanced the overall risk of developing and dying from cancer by eight and ten years, respectively, compared with never smokers. The greatest advancements in cancer risk and mortality were seen for lung cancer and the least for breast cancer. Smoking cessation was statistically significantly associated with delays in the risk of cancer development and mortality compared with continued smoking. CONCLUSIONS This investigation shows that smoking, even among older adults, considerably advances, and cessation delays, the risk of developing and dying from cancer. These findings may be helpful in more effectively communicating the harmful effects of smoking and the beneficial effect of smoking cessation.
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Affiliation(s)
- José Manuel Ordóñez-Mena
- />Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
- />Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120 Heidelberg, Germany
| | - Ben Schöttker
- />Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
- />Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120 Heidelberg, Germany
| | - Ute Mons
- />Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120 Heidelberg, Germany
| | - Mazda Jenab
- />International Agency for Research on Cancer (IARC), Lyon, France
| | - Heinz Freisling
- />International Agency for Research on Cancer (IARC), Lyon, France
| | - Bas Bueno-de-Mesquita
- />Department of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- />Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- />Division of Epidemiology and Biostatistics, the School of Public Health, Imperial College London, London, United Kingdom
- />Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Mark G. O’Doherty
- />UKCRC Centre of Excellence for Public Health, Queens University of Belfast, Belfast, UK
| | - Angela Scott
- />UKCRC Centre of Excellence for Public Health, Queens University of Belfast, Belfast, UK
| | - Frank Kee
- />UKCRC Centre of Excellence for Public Health, Queens University of Belfast, Belfast, UK
| | - Bruno H. Stricker
- />Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Albert Hofman
- />Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Rikje Ruiter
- />Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Stefan Söderberg
- />Department of Public Health and Clinical Medicine, Cardiology, and Heart Center, Umeå University, Umeå, Sweden
| | - Pekka Jousilahti
- />National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Kari Kuulasmaa
- />National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Neal D. Freedman
- />Nutritional Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, MD USA
| | - Tom Wilsgaard
- />Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | | | - Ellen Kampman
- />Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
| | - Niclas Håkansson
- />Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Nicola Orsini
- />Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Alicja Wolk
- />Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Lena Maria Nilsson
- />Nutritional Research, Department of Public Health and Clinical Medicine, and Arcum, Arctic Research Centre at Umeå University, Umeå, Sweden
| | - Anne Tjønneland
- />Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Andrzej Pająk
- />Jagiellonian University Medical College, Faculty of Health Sciences, Krakow, Poland
| | - Sofia Malyutina
- />Institute of Internal and Preventive Medicine, Novosibirsk, Russia
| | - Růžena Kubínová
- />National Institute of Public Health, Prague, Czech Republic
| | - Abdonas Tamosiunas
- />Institute of Cardiology of Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Martin Bobak
- />Department Epidemiology and Public Health, University College London, London, UK
| | | | - Philippos Orfanos
- />University of Athens, Medical School, Department of Hygiene, Epidemiology and Medical Statistics, Athens, Greece
| | - Paolo Boffetta
- />Hellenic Health Foundation, Athens, Greece
- />Institute for Translational Epidemiology and Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Antonia Trichopoulou
- />Hellenic Health Foundation, Athens, Greece
- />University of Athens, Medical School, Department of Hygiene, Epidemiology and Medical Statistics, Athens, Greece
| | - Hermann Brenner
- />Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
- />Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120 Heidelberg, Germany
- />German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- />Division of Preventive Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - on behalf of the Consortium on Health and Ageing: Network of Cohorts in Europe and the United States (CHANCES)
- />Network Aging Research (NAR), Heidelberg University, Heidelberg, Germany
- />Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, D-69120 Heidelberg, Germany
- />International Agency for Research on Cancer (IARC), Lyon, France
- />Department of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- />Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- />Division of Epidemiology and Biostatistics, the School of Public Health, Imperial College London, London, United Kingdom
- />Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- />UKCRC Centre of Excellence for Public Health, Queens University of Belfast, Belfast, UK
- />Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- />Department of Public Health and Clinical Medicine, Cardiology, and Heart Center, Umeå University, Umeå, Sweden
- />National Institute for Health and Welfare (THL), Helsinki, Finland
- />Nutritional Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, Rockville, MD USA
- />Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
- />Division of Human Nutrition, Wageningen University, Wageningen, The Netherlands
- />Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- />Nutritional Research, Department of Public Health and Clinical Medicine, and Arcum, Arctic Research Centre at Umeå University, Umeå, Sweden
- />Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
- />Jagiellonian University Medical College, Faculty of Health Sciences, Krakow, Poland
- />Institute of Internal and Preventive Medicine, Novosibirsk, Russia
- />National Institute of Public Health, Prague, Czech Republic
- />Institute of Cardiology of Lithuanian University of Health Sciences, Kaunas, Lithuania
- />Department Epidemiology and Public Health, University College London, London, UK
- />Hellenic Health Foundation, Athens, Greece
- />University of Athens, Medical School, Department of Hygiene, Epidemiology and Medical Statistics, Athens, Greece
- />Institute for Translational Epidemiology and Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY USA
- />German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
- />Division of Preventive Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
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O'Doherty MG, Cairns K, O'Neill V, Lamrock F, Jørgensen T, Brenner H, Schöttker B, Wilsgaard T, Siganos G, Kuulasmaa K, Boffetta P, Trichopoulou A, Kee F. Effect of major lifestyle risk factors, independent and jointly, on life expectancy with and without cardiovascular disease: results from the Consortium on Health and Ageing Network of Cohorts in Europe and the United States (CHANCES). Eur J Epidemiol 2016; 31:455-68. [PMID: 26781655 PMCID: PMC4901087 DOI: 10.1007/s10654-015-0112-8] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Accepted: 12/13/2015] [Indexed: 12/26/2022]
Abstract
Seldom have studies taken account of changes in lifestyle habits in the elderly, or investigated their impact on disease-free life expectancy (LE) and LE with cardiovascular disease (CVD). Using data on subjects aged 50+ years from three European cohorts (RCPH, ESTHER and Tromsø), we used multi-state Markov models to calculate the independent and joint effects of smoking, physical activity, obesity and alcohol consumption on LE with and without CVD. Men and women aged 50 years who have a favourable lifestyle (overweight but not obese, light/moderate drinker, non-smoker and participates in vigorous physical activity) lived between 7.4 (in Tromsø men) and 15.7 (in ESTHER women) years longer than those with an unfavourable lifestyle (overweight but not obese, light/moderate drinker, smoker and does not participate in physical activity). The greater part of the extra life years was in terms of “disease-free” years, though a healthy lifestyle was also associated with extra years lived after a CVD event. There are sizeable benefits to LE without CVD and also for survival after CVD onset when people favour a lifestyle characterized by salutary behaviours. Remaining a non-smoker yielded the greatest extra years in overall LE, when compared to the effects of routinely taking physical activity, being overweight but not obese, and drinking in moderation. The majority of the overall LE benefit is in disease free years. Therefore, it is important for policy makers and the public to know that prevention through maintaining a favourable lifestyle is “never too late”.
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Affiliation(s)
- Mark G O'Doherty
- UKCRC Centre of Excellence for Public Health for Northern Ireland, Queens University Belfast, Belfast, BT12 6BA, Northern Ireland, UK.
| | - Karen Cairns
- Centre for Statistical Science and Operational Research (CenSSOR), Queen's University Belfast, Belfast, BT7 1NN, Northern Ireland, UK
| | - Vikki O'Neill
- UKCRC Centre of Excellence for Public Health for Northern Ireland, Queens University Belfast, Belfast, BT12 6BA, Northern Ireland, UK
| | - Felicity Lamrock
- UKCRC Centre of Excellence for Public Health for Northern Ireland, Queens University Belfast, Belfast, BT12 6BA, Northern Ireland, UK.,Centre for Statistical Science and Operational Research (CenSSOR), Queen's University Belfast, Belfast, BT7 1NN, Northern Ireland, UK
| | - Torben Jørgensen
- Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark.,Institute of Public Health, University of Copenhagen, Copenhagen, Denmark.,Faculty of Medicine, University of Aalborg, Aalborg, Denmark
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Tom Wilsgaard
- Department of Community Medicine, University of Tromsø, 9037, Tromsø, Norway
| | - Galatios Siganos
- Department of Community Medicine, University of Tromsø, 9037, Tromsø, Norway
| | - Kari Kuulasmaa
- Department of Health, National Institute for Health and Welfare (THL), 00271, Helsinki, Finland
| | - Paolo Boffetta
- The Tisch Cancer Institute and Institute for Translational Epidemiology, Mount Sinai School of Medicine, New York, NY, 10029, USA.,Hellenic Health Foundation, Kaisareias 13 & Alexandroupoleos str., 115 27, Athens, Greece
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Kaisareias 13 & Alexandroupoleos str., 115 27, Athens, Greece.,Department of Hygiene, Epidemiology and Medical Statistics, Medical School, University of Athens, Mikras Asias 75 st, 115 27, Athens, Greece
| | - Frank Kee
- UKCRC Centre of Excellence for Public Health for Northern Ireland, Queens University Belfast, Belfast, BT12 6BA, Northern Ireland, UK
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La Vecchia C. Commentary The Importance of Cost Estimation for Molecular Epidemiology Studies. J Epidemiol 2016; 26:513-514. [PMID: 27374139 PMCID: PMC5037247 DOI: 10.2188/jea.je20160078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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40
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Schöttker B, Brenner H, Jansen EHJM, Gardiner J, Peasey A, Kubínová R, Pająk A, Topor-Madry R, Tamosiunas A, Saum KU, Holleczek B, Pikhart H, Bobak M. Evidence for the free radical/oxidative stress theory of ageing from the CHANCES consortium: a meta-analysis of individual participant data. BMC Med 2015; 13:300. [PMID: 26666526 PMCID: PMC4678534 DOI: 10.1186/s12916-015-0537-7] [Citation(s) in RCA: 78] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2015] [Accepted: 11/26/2015] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The free radical/oxidative stress theory of ageing has received considerable attention, but the evidence on the association of oxidative stress markers with mortality is sparse. METHODS We measured derivatives of reactive oxygen metabolite (D-ROM) levels as a proxy for the reactive oxygen species concentration and total thiol levels (TTL) as a proxy for the redox control status in 10,622 men and women (age range, 45-85 years), from population-based cohorts from Germany, Poland, Czech Republic, and Lithuania, of whom 1,702 died during follow-up. RESULTS Both oxidative stress markers were significantly associated with all-cause mortality independently from established risk factors (including inflammation) and from each other in all cohorts. Regarding cause-specific mortality, compared to low D-ROM levels (≤ 340 Carr U), very high D-ROM levels (>500 Carr U) were strongly associated with both cardiovascular (relative risk (RR), 5.09; 95 % CI, 2.67-9.69) and cancer mortality (RR, 4.34; 95 % CI, 2.31-8.16). TTL was only associated with CVD mortality (RR, 1.30; 95 % CI, 1.15-1.48, for one-standard-deviation-decrease). The strength of the association of TTL with CVD mortality increased with age of the participants (RR for one-standard-deviation-decrease in those aged 70-85 years was 1.65; 95 % CI, 1.22-2.24). CONCLUSIONS In these four population-based cohort studies from Central and Eastern Europe, the oxidative stress serum markers D-ROM and TTL were independently and strongly associated with all-cause and CVD mortality. In addition, D-ROM levels were also strongly associated with cancer mortality. This study provides epidemiological evidence supporting the free radical/oxidative stress theory of ageing and suggests that d-ROMs and TTL are useful oxidative stress markers associated with premature mortality.
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Affiliation(s)
- Ben Schöttker
- Division of Clinical Epidemiology and Ageing Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany. .,Network Aging Research, University of Heidelberg, Bergheimer Strasse 20, 69120, Heidelberg, Germany.
| | - Hermann Brenner
- Division of Clinical Epidemiology and Ageing Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.,Network Aging Research, University of Heidelberg, Bergheimer Strasse 20, 69120, Heidelberg, Germany
| | - Eugène H J M Jansen
- Laboratory for Health Protection Research, National Institute for Public Health and the Environment, PO Box 1, 3720, BA, Bilthoven, The Netherlands
| | - Julian Gardiner
- Department Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 6BT, Great Britain
| | - Anne Peasey
- Department Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 6BT, Great Britain
| | | | - Andrzej Pająk
- Jagiellonian University Medical College, Faculty of Health Sciences, Krakow, Poland
| | - Roman Topor-Madry
- Jagiellonian University Medical College, Faculty of Health Sciences, Krakow, Poland
| | - Abdonas Tamosiunas
- Institute of Cardiology of Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Kai-Uwe Saum
- Division of Clinical Epidemiology and Ageing Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany
| | - Bernd Holleczek
- Saarland Cancer Registry, Präsident Baltz-Strasse 5, 66119, Saarbrücken, Germany
| | - Hynek Pikhart
- Department Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 6BT, Great Britain
| | - Martin Bobak
- Department Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, WC1E 6BT, Great Britain
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Jansen E, Ruskovska T. Serum Biomarkers of (Anti)Oxidant Status for Epidemiological Studies. Int J Mol Sci 2015; 16:27378-90. [PMID: 26580612 PMCID: PMC4661890 DOI: 10.3390/ijms161126032] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2015] [Revised: 10/30/2015] [Accepted: 11/02/2015] [Indexed: 12/14/2022] Open
Abstract
In this review, we disclose a selection of serum/plasma biomarkers of (anti)oxidant status related to nutrition, which can be used for measurements in large-scale epidemiological studies. From personal experience, we have come to the following proposal of a set of biomarkers for nutritional intake, (anti)oxidant status, and redox status. We have selected the individual antioxidant vitamins E and A, and the carotenoids which can be measured in large series by HPLC. In addition, vitamin C was selected, which can be measured by an auto-analyzer or HPLC. As a biomarker for oxidative stress, the ROM assay (reactive oxygen metabolites) was selected; for the redox status, the total thiol assay; and for the total antioxidant status the BAP assay (biological antioxidant potential). All of these biomarkers can be measured in large quantities by an auto-analyzer. Critical points in biomarker validation with respect to blood sampling, storage conditions, and measurements are discussed. With the selected biomarkers, a good set is presented for use in the risk assessment between nutrition and (chronic) diseases in large-scale epidemiological studies. Examples of the successful application of these biomarkers in large international studies are presented.
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Affiliation(s)
- Eugène Jansen
- Centre for Health Protection, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands.
| | - Tatjana Ruskovska
- Faculty of Medical Sciences, Goce Delcev University, 2000 Stip, Macedonia.
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Müezzinler A, Mons U, Gellert C, Schöttker B, Jansen E, Kee F, O'Doherty MG, Kuulasmaa K, Freedman ND, Abnet CC, Wolk A, Håkansson N, Orsini N, Wilsgaard T, Bueno-de-Mesquita B, van der Schouw YT, Peeters PHM, de Groot LCPGM, Peters A, Orfanos P, Linneberg A, Pisinger C, Tamosiunas A, Baceviciene M, Luksiene D, Bernotiene G, Jousilahti P, Petterson-Kymmer U, Jansson JH, Söderberg S, Eriksson S, Jankovic N, Sánchez MJ, Veronesi G, Sans S, Drygas W, Trichopoulou A, Boffetta P, Brenner H. Smoking and All-cause Mortality in Older Adults: Results From the CHANCES Consortium. Am J Prev Med 2015; 49:e53-e63. [PMID: 26188685 DOI: 10.1016/j.amepre.2015.04.004] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2014] [Revised: 03/16/2015] [Accepted: 04/14/2015] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Smoking is known to be a major cause of death among middle-aged adults, but evidence on its impact and the benefits of smoking cessation among older adults has remained limited. Therefore, we aimed to estimate the influence of smoking and smoking cessation on all-cause mortality in people aged ≥60 years. METHODS Relative mortality and mortality rate advancement periods (RAPs) were estimated by Cox proportional hazards models for the population-based prospective cohort studies from Europe and the U.S. (CHANCES [Consortium on Health and Ageing: Network of Cohorts in Europe and the U.S.]), and subsequently pooled by individual participant meta-analysis. Statistical analyses were performed from June 2013 to March 2014. RESULTS A total of 489,056 participants aged ≥60 years at baseline from 22 population-based cohort studies were included. Overall, 99,298 deaths were recorded. Current smokers had 2-fold and former smokers had 1.3-fold increased mortality compared with never smokers. These increases in mortality translated to RAPs of 6.4 (95% CI=4.8, 7.9) and 2.4 (95% CI=1.5, 3.4) years, respectively. A clear positive dose-response relationship was observed between number of currently smoked cigarettes and mortality. For former smokers, excess mortality and RAPs decreased with time since cessation, with RAPs of 3.9 (95% CI=3.0, 4.7), 2.7 (95% CI=1.8, 3.6), and 0.7 (95% CI=0.2, 1.1) for those who had quit <10, 10 to 19, and ≥20 years ago, respectively. CONCLUSIONS Smoking remains as a strong risk factor for premature mortality in older individuals and cessation remains beneficial even at advanced ages. Efforts to support smoking abstinence at all ages should be a public health priority.
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Affiliation(s)
- Aysel Müezzinler
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Ute Mons
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Carolin Gellert
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Eugène Jansen
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Frank Kee
- UKCRC Centre of Excellence for Public Health, Queen's University Belfast, Belfast, Northern Ireland
| | - Mark G O'Doherty
- UKCRC Centre of Excellence for Public Health, Queen's University Belfast, Belfast, Northern Ireland
| | - Kari Kuulasmaa
- National Institute for Health and Welfare, Helsinki, Finland
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Christian C Abnet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Niclas Håkansson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Nicola Orsini
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Tom Wilsgaard
- Department of Community Medicine, UiT the Arctic University of Norway, Tromsø, Norway
| | - Bas Bueno-de-Mesquita
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands; Department of Gastroenterology and Hepatology, University Medical Center Utrecht, Utrecht, the Netherlands; Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; Department of Epidemiology, Julius Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Yvonne T van der Schouw
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Petra H M Peeters
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | | | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
| | - Philippos Orfanos
- Hellenic Health Foundation, Athens, Greece; Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Allan Linneberg
- Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark; Department of Clinical Experimental Research, Glostrup University Hospital, Glostrup, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Charlotta Pisinger
- Research Centre for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark
| | - Abdonas Tamosiunas
- Laboratory of Population Studies, Institute of Cardiology of Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Migle Baceviciene
- Laboratory of Population Studies, Institute of Cardiology of Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Dalia Luksiene
- Laboratory of Population Studies, Institute of Cardiology of Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Gailute Bernotiene
- Laboratory of Population Studies, Institute of Cardiology of Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | | | - Ulrika Petterson-Kymmer
- Department of Public Health and Clinical Medicine, Medicine, Skellefteå Research Unit, Cardiology, Umeå University, Umeå, Sweden; Department of Pharmacology and Clinical Neurosciences, Umeå University, Umeå, Sweden
| | - Jan Håkan Jansson
- Department of Public Health and Clinical Medicine, Medicine, Skellefteå Research Unit, Cardiology, Umeå University, Umeå, Sweden
| | - Stefan Söderberg
- Department of Public Health and Clinical Medicine, Medicine, Skellefteå Research Unit, Cardiology, Umeå University, Umeå, Sweden
| | - Sture Eriksson
- Department of Community Medicine and Rehabilitation, Geriatric Medicine, Umeå University, Umeå, Sweden
| | - Nicole Jankovic
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
| | - María-José Sánchez
- Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria de Granada (Granada.ibs), Granada, Spain; CIBER de Epidemiología y Salud Pública, Barcelona, Spain
| | - Giovanni Veronesi
- Department of Clinical and Experimental Medicine, Research Center in Epidemiology and Preventive Medicine, University of Insubria, Varese, Italy
| | - Susana Sans
- Institute of Health Studies, Barcelona, Spain
| | - Wojciech Drygas
- Department of Epidemiology, Cardiovascular Disease Prevention and Health Promotion, Institute of Cardiology, Warsaw, Poland
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece; Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Paolo Boffetta
- Hellenic Health Foundation, Athens, Greece; Tisch Cancer Institute and Institute for Translational Epidemiology, Mount Sinai School of Medicine, New York, New York
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
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Abstract
The Rotterdam Study is a prospective cohort study ongoing since 1990 in the city of Rotterdam in The Netherlands. The study targets cardiovascular, endocrine, hepatic, neurological, ophthalmic, psychiatric, dermatological, otolaryngological, locomotor, and respiratory diseases. As of 2008, 14,926 subjects aged 45 years or over comprise the Rotterdam Study cohort. The findings of the Rotterdam Study have been presented in over 1200 research articles and reports (see www.erasmus-epidemiology.nl/rotterdamstudy ). This article gives the rationale of the study and its design. It also presents a summary of the major findings and an update of the objectives and methods.
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Jansen E, Beekhof P, Cremers J, Weinberger B, Fiegl S, Toussaint O, Bernhard J, Gonos E, Capri M, Franceschi C, Sikora E, Moreno-Villanueva M, Breusing N, Grune T, Bürkle A, Dollé MET. Quality control data of physiological and immunological biomarkers measured in serum and plasma. Mech Ageing Dev 2015; 151:54-9. [PMID: 26166476 DOI: 10.1016/j.mad.2015.06.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2015] [Revised: 05/29/2015] [Accepted: 06/18/2015] [Indexed: 11/28/2022]
Abstract
In two work packages of the MARK-AGE project, 37 immunological and physiological biomarkers were measured in 3637 serum, plasma or blood samples in five batches during a period of 4 years. The quality of the serum and plasma samples was very good as judged by the low number of biomarker measurements (only 0.2%) that were rejected because of a high hemolysis, icteria or lipemia of the samples. Using quality control samples, day-to-day and batch variations were determined. The mean inter-assay variation of the five batches were all below 8%, with an average inter-assay coefficient of variation of all biomarkers of 4.0%. Also the precision of the measurements was very good, because all measurements were between 90% and 115% of the defined target values. A possible mix-up of samples was determined by comparison of the extreme testosterone levels of men and women. It was concluded that 3% of the sample identification could be mixed-up. Considering the complex procedure from collection to analysis, including preparation, handling, shipment and storage, of the samples in the MARK-AGE project, both the quality of the samples and the quality of the measurements are very good.
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Affiliation(s)
- Eugène Jansen
- Centre for Health Protection, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands.
| | - Piet Beekhof
- Centre for Health Protection, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands.
| | - Johannes Cremers
- Centre for Health Protection, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands.
| | - Birgit Weinberger
- Leopold-Franzens-Universität Innsbruck, Institute for Biomedical Aging Research, Rennweg 10, 6020 Innsbruck, Austria.
| | - Simone Fiegl
- Institute for Nutritional Sciences and Physiology, University for Health Sciences, Medical Informatics and Technology, Eduard Wallnoefer-Zentrum 1, 6060 Hall in Tirol, Austria.
| | - Olivier Toussaint
- Unit of Cellular Biochemistry and Biology, The University of Namur, Rue de Bruxelles 61, 5000 Namur, Belgium.
| | - Jürgen Bernhard
- BioTeSys GmbH, Schelztorstraße 54-56, 73,728 Esslingen, Germany.
| | - Efstathios Gonos
- National Hellenic Research Foundation (NHRF) Institute of Biological Research and Biotechnology, 48 Vas. Constantinou Ave., Athens 11635, Greece.
| | - Miriam Capri
- DIMES-Department of Experimental, Diagnostic and Specialty Medicine, CIG-Interdepartmentall Centre "L.Galvani", Alma Mater Studiorum, University of Bologna, 40,126 Bologna, Italy.
| | - Claudio Franceschi
- DIMES-Department of Experimental, Diagnostic and Specialty Medicine, CIG-Interdepartmentall Centre "L.Galvani", Alma Mater Studiorum, University of Bologna, 40,126 Bologna, Italy.
| | - Ewa Sikora
- Nencki Institute of Experimental Biology, Polish Academy of Sciences, St. Pasteura 302-093 Warsaw, Poland.
| | - María Moreno-Villanueva
- Molecular Toxicology, Department of Biology, Box 628, University of Konstanz, 78,457 Konstanz, Germany.
| | - Nicolle Breusing
- Institute of Nutritional Medicine (180c), University of Hohenheim, Fruwirthstraße 12, 70,599 Stuttgart, Germany.
| | - Tilman Grune
- German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Arthur-Scheunert-Allee 114-116, 14,558 Nuthetal, Germany.
| | - Alexander Bürkle
- Molecular Toxicology, Dept of Biology, Box 628, University of Konstanz, 78,457 Konstanz, Germany.
| | - Martijn E T Dollé
- Centre for Health Protection, National Institute for Public Health and the Environment, PO Box 1, 3720 BA Bilthoven, The Netherlands.
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Benetou V, Orfanos P, Feskanich D, Michaëlsson K, Pettersson-Kymmer U, Ahmed LA, Peasey A, Wolk A, Brenner H, Bobak M, Wilsgaard T, Schöttker B, Saum KU, Bellavia A, Grodstein F, Klinaki E, Valanou E, Papatesta EM, Boffetta P, Trichopoulou A. Education, marital status, and risk of hip fractures in older men and women: the CHANCES project. Osteoporos Int 2015; 26:1733-46. [PMID: 25820745 DOI: 10.1007/s00198-015-3054-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2014] [Accepted: 01/28/2015] [Indexed: 01/12/2023]
Abstract
UNLABELLED The role of socioeconomic status in hip fracture incidence is unclear. In a diverse population of elderly, higher education was found to be associated with lower, whereas living alone, compared to being married/cohabiting, with higher hip fracture risk. Educational level and marital status may contribute to hip fracture risk. INTRODUCTION The evidence on the association between socioeconomic status and hip fracture incidence is limited and inconsistent. We investigated the potential association of education and marital status with hip fracture incidence in older individuals from Europe and USA. METHODS A total of 155,940 participants (79 % women) aged 60 years and older from seven cohorts were followed up accumulating 6456 incident hip fractures. Information on education and marital status was harmonized across cohorts. Hip fractures were ascertained through telephone interviews/questionnaires or through record linkage with registries. Associations were assessed through Cox proportional hazard regression adjusting for several factors. Summary estimates were derived using random effects models. RESULTS Individuals with higher education, compared to those with low education, had lower hip fracture risk [hazard ratio (HR) = 0.84, 95 % confidence interval (CI) 0.72-0.95]. Respective HRs were 0.97 (95 % CI 0.82-1.13) for men and 0.75 (95 % CI 0.65-0.85) for women. Overall, individuals living alone, especially those aged 60-69 years, compared to those being married/cohabiting, tended to have a higher hip fracture risk (HR = 1.12, 95 % CI 1.02-1.22). There was no suggestion for heterogeneity across cohorts (P heterogeneity > 0.05). CONCLUSIONS The combined data from >150,000 individuals 60 years and older suggest that higher education may contribute to lower hip fracture risk. Furthermore, this risk may be higher among individuals living alone, especially among the age group 60-69 years, when compared to those being married/cohabiting.
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Affiliation(s)
- V Benetou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, University of Athens, 75 Mikras Asias Str, Athens, 115 27, Greece.
- Hellenic Health Foundation, Kaisareias 13 and Alexandroupoleos Str, Athens, 115 27, Greece.
| | - P Orfanos
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, University of Athens, 75 Mikras Asias Str, Athens, 115 27, Greece
- Hellenic Health Foundation, Kaisareias 13 and Alexandroupoleos Str, Athens, 115 27, Greece
| | - D Feskanich
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - K Michaëlsson
- Department of Surgical Sciences, Section of Orthopedics, Uppsala University, Uppsala, Sweden
| | - U Pettersson-Kymmer
- Department of Pharmacology and Clinical Neurosciences and Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - L A Ahmed
- Department of Health and Care Sciences, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - A Peasey
- Department of Epidemiology and Public Health, University College London, London, UK
| | - A Wolk
- Institute of Environmental Medicine, Division of Nutritional Epidemiology, Karolinska Institutet, Stockholm, Sweden
| | - H Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - M Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
| | - T Wilsgaard
- Department of Community Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway
| | - B Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - K-U Saum
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - A Bellavia
- Institute of Environmental Medicine, Division of Nutritional Epidemiology, Karolinska Institutet, Stockholm, Sweden
| | - F Grodstein
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - E Klinaki
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, University of Athens, 75 Mikras Asias Str, Athens, 115 27, Greece
| | - E Valanou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, University of Athens, 75 Mikras Asias Str, Athens, 115 27, Greece
| | - E-M Papatesta
- Hellenic Health Foundation, Kaisareias 13 and Alexandroupoleos Str, Athens, 115 27, Greece
| | - P Boffetta
- Hellenic Health Foundation, Kaisareias 13 and Alexandroupoleos Str, Athens, 115 27, Greece
- Institute for Translational Epidemiology and Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, USA
| | - A Trichopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, University of Athens, 75 Mikras Asias Str, Athens, 115 27, Greece
- Hellenic Health Foundation, Kaisareias 13 and Alexandroupoleos Str, Athens, 115 27, Greece
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Mons U, Müezzinler A, Gellert C, Schöttker B, Abnet CC, Bobak M, de Groot L, Freedman ND, Jansen E, Kee F, Kromhout D, Kuulasmaa K, Laatikainen T, O'Doherty MG, Bueno-de-Mesquita B, Orfanos P, Peters A, van der Schouw YT, Wilsgaard T, Wolk A, Trichopoulou A, Boffetta P, Brenner H. Impact of smoking and smoking cessation on cardiovascular events and mortality among older adults: meta-analysis of individual participant data from prospective cohort studies of the CHANCES consortium. BMJ 2015; 350:h1551. [PMID: 25896935 PMCID: PMC4413837 DOI: 10.1136/bmj.h1551] [Citation(s) in RCA: 299] [Impact Index Per Article: 33.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
OBJECTIVE To investigate the impact of smoking and smoking cessation on cardiovascular mortality, acute coronary events, and stroke events in people aged 60 and older, and to calculate and report risk advancement periods for cardiovascular mortality in addition to traditional epidemiological relative risk measures. DESIGN Individual participant meta-analysis using data from 25 cohorts participating in the CHANCES consortium. Data were harmonised, analysed separately employing Cox proportional hazard regression models, and combined by meta-analysis. RESULTS Overall, 503,905 participants aged 60 and older were included in this study, of whom 37,952 died from cardiovascular disease. Random effects meta-analysis of the association of smoking status with cardiovascular mortality yielded a summary hazard ratio of 2.07 (95% CI 1.82 to 2.36) for current smokers and 1.37 (1.25 to 1.49) for former smokers compared with never smokers. Corresponding summary estimates for risk advancement periods were 5.50 years (4.25 to 6.75) for current smokers and 2.16 years (1.38 to 2.39) for former smokers. The excess risk in smokers increased with cigarette consumption in a dose-response manner, and decreased continuously with time since smoking cessation in former smokers. Relative risk estimates for acute coronary events and for stroke events were somewhat lower than for cardiovascular mortality, but patterns were similar. CONCLUSIONS Our study corroborates and expands evidence from previous studies in showing that smoking is a strong independent risk factor of cardiovascular events and mortality even at older age, advancing cardiovascular mortality by more than five years, and demonstrating that smoking cessation in these age groups is still beneficial in reducing the excess risk.
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Affiliation(s)
- Ute Mons
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Aysel Müezzinler
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany Network Aging Research (NAR), University of Heidelberg, Heidelberg, Germany
| | - Carolin Gellert
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Martin Bobak
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Lisette de Groot
- Division of Human Nutrition, Wageningen University, Wageningen, Netherlands
| | | | - Eugène Jansen
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands
| | - Frank Kee
- UKCRC Centre of Excellence for Public Health, Queen's University Belfast, Belfast, UK
| | - Daan Kromhout
- Division of Human Nutrition, Wageningen University, Wageningen, Netherlands
| | - Kari Kuulasmaa
- National Institute for Health and Welfare (THL), Helsinki, Finland
| | - Tiina Laatikainen
- National Institute for Health and Welfare (THL), Helsinki, Finland Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland Hospital District of North Karelia, Joensuu, Finland
| | - Mark G O'Doherty
- UKCRC Centre of Excellence for Public Health, Queen's University Belfast, Belfast, UK
| | - Bas Bueno-de-Mesquita
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, Netherlands Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, Netherlands Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Philippos Orfanos
- Hellenic Health Foundation, Athens, Greece Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany German Center for Cardiovascular Disease Research (DZHK eV), partner-site Munich, Munich, Germany
| | - Yvonne T van der Schouw
- Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Tom Wilsgaard
- Department of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Antonia Trichopoulou
- Hellenic Health Foundation, Athens, Greece Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece
| | - Paolo Boffetta
- Hellenic Health Foundation, Athens, Greece Institute for Translational Epidemiology and Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
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