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Inomata S, Lu Y, Matsuyama S, Murakami Y, Tsuji I. Association between education and disability-free life expectancy among Japanese older people: The Ohsaki Cohort 2006 study. Arch Gerontol Geriatr 2024; 125:105466. [PMID: 38749086 DOI: 10.1016/j.archger.2024.105466] [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: 01/22/2024] [Revised: 04/28/2024] [Accepted: 04/29/2024] [Indexed: 07/13/2024]
Abstract
BACKGROUND Higher education level is associated with longer disability-free life expectancy (DFLE). However, evidence is scarce regarding factors that can contribute to eliminating inequality in DFLE according to education level. This study aimed to clarify the association between education and DFLE and estimate whether DFLE in people with lower education may increase to the same level as that in people with higher education through social participation. METHODS We analyzed data from 13,849 Japanese people aged 65 years and older who participated in a 13-year prospective study. At baseline, we collected information on education levels (low, middle, or high) and social participation. DFLE was defined as the average duration people expect to live without disability. To calculate DFLE for each education level group, the multistate life table method was employed using a Markov model. RESULTS At the age of 65 years, DFLE (95 % confidence interval [CI]) in women with low education was 21.3 years (20.8-21.8) without social participation and 24.3 (23.8-24.9) with social participation. In the middle education group, DFLE was 22.1 (21.6-22.6) without social participation and 25.0 (24.6-25.5) with social participation. In the high education group, DFLE was 22.1 (21.5-22.8) without social participation and 25.5 (25.0-26.0) with social participation. Similar results were found for men. CONCLUSIONS DFLE in people with low or middle education with social participation was almost the same as that in those with high education with social participation, suggesting the possibility that disparities in DFLE by education level could be offset by promoting social participation in older adults.
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Affiliation(s)
- Shiori Inomata
- Division of Epidemiology, Department of Health Informatics and Public Health, School of Public Health, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yukai Lu
- Division of Epidemiology, Department of Health Informatics and Public Health, School of Public Health, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Sanae Matsuyama
- Division of Epidemiology, Department of Health Informatics and Public Health, School of Public Health, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yoshitaka Murakami
- Department of Medical Statistics, Faculty of Medicine, Toho University, Tokyo, Japan
| | - Ichiro Tsuji
- Division of Epidemiology, Department of Health Informatics and Public Health, School of Public Health, Tohoku University Graduate School of Medicine, Sendai, Japan.
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Das P, Saha S, Das T, Das P, Roy TB. Assessing the modifiable and non-modifiable risk factors associated with multimorbidity in reproductive aged women in India. BMC Public Health 2024; 24:676. [PMID: 38439011 PMCID: PMC10910662 DOI: 10.1186/s12889-024-18186-6] [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: 11/21/2023] [Accepted: 02/22/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND Reproductive span is the foundation of every woman's health in later life. India is currently facing a growing burden of multiple morbidities among the women in their reproductive age group which may further increase over the coming decades. The purpose of the present study aimed to identify different modifiable and non-modifiable risk factors affecting multimorbidity among the women in reproductive age group in Indian context. METHODS Secondary data were obtained from the Demography and Health Survey (DHS), conducted in India during 2019-2021. A total of 671,967 women aged 15-49 years were selected for this present study. Descriptive, association studies and multinominal logistic regression analyses were performed to accomplish the objectives. RESULTS Currently, 6.3% of total study participant's reproductive age group women suffered from multimorbidity in India. Never consuming protein, fruits, vegetables and milk increase the chances of developing multimorbidity. Consumption of fried foods, aerated drinks and addiction towards tobacco and alcohol also has a greater influence on the prevalence of multimorbidity. The prevalence of multimorbidity is sharply increased with increasing age and Body Mass Index (BMI). Regionally, the prevalence of multimorbidity was found more among the women hailed from eastern and north-eastern India. CONCLUSION To reduce the risk of developing multimorbidity, targeted interventions are needed in the form of educating every woman concerning the importance of having minimum health-related knowledge, maintaining healthy lifestyle, weight management and having proper and balanced diet.
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Affiliation(s)
- Priya Das
- Department of Geography, University of Gour Banga, 732101, Malda, West Bengal, India
| | - Subhadeep Saha
- Department of Geography, Raiganj University, 733134, Uttar Dinajpur, West Bengal, India
| | - Tanu Das
- Department of Geography, Raiganj University, 733134, Uttar Dinajpur, West Bengal, India
| | - Partha Das
- Department of Geography, Raiganj University, 733134, Uttar Dinajpur, West Bengal, India
| | - Tamal Basu Roy
- Department of Geography, Raiganj University, 733134, Uttar Dinajpur, West Bengal, India.
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3
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Rippin HL, Maximova K, Loyola E, Breda J, Wickramasinghe K, Ferreira-Borges C, Berdzuli N, Hajihosseini M, Novik I, Pisaryk V, Sturua L, Akmatova A, Obreja G, Mustafo SA, Ekinci B, Erguder T, Shukurov S, Hagverdiyev G, Andreasyan D, Bychkov S, Rakovac I. Suboptimal Intake of Fruits and Vegetables in Nine Selected Countries of the World Health Organization European Region. Prev Chronic Dis 2023; 20:E104. [PMID: 37972606 PMCID: PMC10684282 DOI: 10.5888/pcd20.230159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023] Open
Abstract
The objective of this study was to characterize fruit and vegetable consumption in 9 selected countries of the World Health Organization (WHO) European Region. We analyzed data on fruit and vegetable intake and participant sociodemographic characteristics for 30,455 adults in 9 Eastern European and Central Asian countries via standardized STEPS survey methodology. Fruit and vegetable consumption across all countries was suboptimal, with a high percentage of populations not meeting the WHO-recommended intake of at least 5 servings (400 g) per day. Strengthened implementation of evidence-based policies to increase intake of fruit and vegetables is needed to reduce the burden of and disparities in NCDs.
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Affiliation(s)
- Holly L Rippin
- World Health Organization European Office for the Prevention and Control of Non-Communicable Diseases, Division of Country Health Programmes, World Health Organization Regional Office for Europe, Marmovej, Copenhagen, Denmark
| | - Katerina Maximova
- MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Ontario, Canada
| | - Enrique Loyola
- World Health Organization European Office for the Prevention and Control of Non-Communicable Diseases, Division of Country Health Programmes, World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | - Joao Breda
- Division of Country Health Policies and Systems, World Health Organization Greece, Athens, Greece
| | - Kremlin Wickramasinghe
- World Health Organization European Office for the Prevention and Control of Non-Communicable Diseases, Division of Country Health Programmes, World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | - Carina Ferreira-Borges
- World Health Organization European Office for the Prevention and Control of Non-Communicable Diseases, Division of Country Health Programmes, World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | - Nino Berdzuli
- World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | | | - Irina Novik
- Republican Scientific and Practical Center of Medical Technologies, Informatization, Management and Economics of Public Health, Minsk, Belarus
| | - Vital Pisaryk
- Republican Scientific and Practical Center of Medical Technologies, Informatization, Management and Economics of Public Health, Minsk, Belarus
| | - Lela Sturua
- National Center for Disease Control and Public Health of Georgia, Tbilisi, Georgia
| | - Ainura Akmatova
- Department of Public Health, Ministry of Health, Bishkek, Kyrgyzstan
| | - Galina Obreja
- Department of Social Medicine and Management, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Republic of Moldova
| | - Saodat Azimzoda Mustafo
- State Research Institute of Gastroenterology, Ministry of Health and Social Protection of Population, Dushanbe, Republic of Tajikistan
| | - Banu Ekinci
- Department of Chronic Disease and Elderly Health, General Directorate of Public Health of Ministry of Health of Turkey, Ankara, Turkey
| | - Toker Erguder
- World Health Organization Country Office in Turkey, Ankara, Turkey
| | - Shukhrat Shukurov
- Central Project Implementation Bureau of the Health-3 Project, Tashkent, Uzbekistan
| | | | - Diana Andreasyan
- National Institute of Health, Ministry of Health, Yerevan, Armenia
| | - Sergei Bychkov
- World Health Organization European Office for the Prevention and Control of Non-Communicable Diseases, Division of Country Health Programmes, World Health Organization Regional Office for Europe, Copenhagen, Denmark
| | - Ivo Rakovac
- World Health Organization European Office for the Prevention and Control of Non-Communicable Diseases, Division of Country Health Programmes, World Health Organization Regional Office for Europe, Copenhagen, Denmark
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Barros MBDA, Medina LDPB, Lima MG, Sousa NFDS, Malta DC. Changes in prevalence and in educational inequalities in Brazilian health behaviors between 2013 and 2019. CAD SAUDE PUBLICA 2022; 38Suppl 1:e00122221. [PMID: 35857955 DOI: 10.1590/0102-311x00122221] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 04/28/2022] [Indexed: 11/22/2022] Open
Abstract
Considering the relevance of health behaviors for chronic diseases prevalence and mortality and the increase in income concentration observed in the world and in Brazil, this study aimed to evaluate the changes in the prevalence and in the educational inequalities of Brazilian adult health behaviors between 2013 and 2019. We analyzed data of 49,025 and 65,803 adults (18-59 years of age) from the Brazilian National Health Survey (PNS), 2013 and 2019. Prevalence of health behaviors (smoking, alcohol intake, diet, physical activity and sedentarism) were estimated for three educational strata, for both surveys. Prevalence ratios (PR) between year of survey and between educational strata were estimated by Poisson regression models. Significant reductions were found in the prevalence of smoking, physical inactivity, sedentarism, insufficient consumption of fruits, and the excessive consumption of sweetened beverages. However, an increase was observed in alcohol consumption and binge drinking; vegetable consumption remained stable. Contrasting the favorable change in some behaviors, inequalities among schooling strata remained very high in 2019, specially for smoking (PR = 2.82; 95%CI: 2.49-3.20), passive smoking (PR = 2.88; 95%CI: 2.56-3.23) and physical inactivity (PR = 2.02; 95%CI: 1.92-2.13). There was a significant increase in the educational inequality regarding physical inactivity (21%), insufficient intake of fruit (8%) and in the frequent consumption of sweetened beverages (32%). The persistence and enlargement of inequalities highlight the behaviors and social segments that should be special targets for policies and programs focused in promoting healthy lifestyles.
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Zhan Y, Han Y, Fang Y. Socioeconomic Disparities in Disability-Free Life Expectancy and Life Expectancy Among Older Chinese Adults From a 7-Year Prospective Cohort Study. Int J Public Health 2022; 67:1604242. [PMID: 35872709 PMCID: PMC9302194 DOI: 10.3389/ijph.2022.1604242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Accepted: 05/25/2022] [Indexed: 11/29/2022] Open
Abstract
Objectives: We examined the magnitude and determinants of socioeconomic disparities in disability-free life expectancy and life expectancy at age 65 (DFLE65 and LE65) in China. Methods: Data from Chinese Longitudinal Healthy Longevity Survey collected during 2011–2018 (8,184 participants aged ≥65) were used. Socioeconomic status (SES) was measured by economic status (ES), and education, respectively. Multistate Markov models and microsimulations were fitted to estimate DFLE65 and LE65. Results: LE65 between high- and low-ES groups differed by 2.20 years for males and 2.04 years for females. The DFLE65 disparity in ES was 1.51 and 1.29 years for males and females, respectively. Not undergoing physical examinations, inadequate fruit/vegetable intake, and stress contributed to 35.10% and 57.36% of DFLE65 disparity in ES, as well as 26.36% and 42.65% of LE65 disparity for males and females, respectively. These disparities in education and ES were of a similar magnitude, while the above factors contributed little to education disparity. Conclusion: Socioeconomic disparities in DFLE65 and LE65 existed in China. Physical examination, fruit/vegetable intake and stress partly explained these disparities.
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Affiliation(s)
- Yuanyuan Zhan
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
- Center for Aging and Health Research, School of Public Health, Xiamen University, Xiamen, China
| | - Yaofeng Han
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
- Center for Aging and Health Research, School of Public Health, Xiamen University, Xiamen, China
| | - Ya Fang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, China
- Center for Aging and Health Research, School of Public Health, Xiamen University, Xiamen, China
- *Correspondence: Ya Fang,
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Ridoutt B, Baird D, Hendrie GA. Diets with Higher Vegetable Intake and Lower Environmental Impact: Evidence from a Large Australian Population Health Survey. Nutrients 2022; 14:1517. [PMID: 35406130 PMCID: PMC9002518 DOI: 10.3390/nu14071517] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 03/30/2022] [Accepted: 04/02/2022] [Indexed: 12/21/2022] Open
Abstract
Increasing the consumption of vegetables is a public health nutrition priority in Australia. This must be achieved in the context of lowering dietary environmental impacts. In this study, a subgroup of 1700 Australian adult daily diets having a higher diet-quality score and a lower environmental impact score was isolated from Australian Health Survey data. These diets were primarily distinguished by their lower content of energy-dense/nutrient-poor discretionary foods. Among these diets, those with higher levels of vegetable intake were characterized by greater variety of vegetables eaten, lower intake of bread and cereal foods, and higher intake of red meat. These diets also had a greater likelihood of achieving recommended intakes for a range of vitamins and minerals. These findings highlighted the importance of considering the total diet in developing strategies to promote healthy and sustainable food consumption, as well as the need to understand the interrelationships between foods that exist in a local cultural context. As vegetables are usually eaten with other foods, higher vegetable consumption in Australia could be supported by encouraging more regular consumption of the types of meals that include larger quantities of vegetables. Our results showed that this was possible while also substantially lowering total dietary environmental impacts.
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Affiliation(s)
- Bradley Ridoutt
- Commonwealth Scientific and Industrial Research Organisation (CSIRO) Agriculture and Food, Clayton, VIC 3169, Australia
- Department of Agricultural Economics, University of the Free State, Bloemfontein 9300, South Africa
| | - Danielle Baird
- CSIRO Health and Biosecurity, Adelaide, SA 5000, Australia; (D.B.); (G.A.H.)
| | - Gilly A. Hendrie
- CSIRO Health and Biosecurity, Adelaide, SA 5000, Australia; (D.B.); (G.A.H.)
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7
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Pereira GA, Gomes Domingos AL, Aguiar ASD. Relationship between food consumption and improvements in circulating melatonin in humans: an integrative review. Crit Rev Food Sci Nutr 2022; 62:670-678. [DOI: 10.1080/10408398.2020.1825924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Gabriela Amorim Pereira
- Faculty of Medicine, Department of Collective Health, Federal University of Juiz de Fora, Juiz de Fora, Brazil
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8
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Welsh J, Bishop K, Booth H, Butler D, Gourley M, Law HD, Banks E, Canudas-Romo V, Korda RJ. Inequalities in life expectancy in Australia according to education level: a whole-of-population record linkage study. Int J Equity Health 2021; 20:178. [PMID: 34344367 PMCID: PMC8330008 DOI: 10.1186/s12939-021-01513-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 07/14/2021] [Indexed: 11/17/2022] Open
Abstract
Background Life expectancy in Australia is amongst the highest globally, but national estimates mask within-country inequalities. To monitor socioeconomic inequalities in health, many high-income countries routinely report life expectancy by education level. However in Australia, education-related gaps in life expectancy are not routinely reported because, until recently, the data required to produce these estimates have not been available. Using newly linked, whole-of-population data, we estimated education-related inequalities in adult life expectancy in Australia. Methods Using data from 2016 Australian Census linked to 2016-17 Death Registrations, we estimated age-sex-education-specific mortality rates and used standard life table methodology to calculate life expectancy. For men and women separately, we estimated absolute (in years) and relative (ratios) differences in life expectancy at ages 25, 45, 65 and 85 years according to education level (measured in five categories, from university qualification [highest] to no formal qualifications [lowest]). Results Data came from 14,565,910 Australian residents aged 25 years and older. At each age, those with lower levels of education had lower life expectancies. For men, the gap (highest vs. lowest level of education) was 9.1 (95 %CI: 8.8, 9.4) years at age 25, 7.3 (7.1, 7.5) years at age 45, 4.9 (4.7, 5.1) years at age 65 and 1.9 (1.8, 2.1) years at age 85. For women, the gap was 5.5 (5.1, 5.9) years at age 25, 4.7 (4.4, 5.0) years at age 45, 3.3 (3.1, 3.5) years at 65 and 1.6 (1.4, 1.8) years at age 85. Relative differences (comparing highest education level with each of the other levels) were larger for men than women and increased with age, but overall, revealed a 10–25 % reduction in life expectancy for those with the lowest compared to the highest education level. Conclusions Education-related inequalities in life expectancy from age 25 years in Australia are substantial, particularly for men. Those with the lowest education level have a life expectancy equivalent to the national average 15–20 years ago. These vast gaps indicate large potential for further gains in life expectancy at the national level and continuing opportunities to improve health equity. Supplementary Information The online version contains supplementary material available at 10.1186/s12939-021-01513-3.
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Affiliation(s)
- J Welsh
- Research School of Population Health, Australian National University, Building 62, Mills Rd, ACT, 2601, Acton, Australia.
| | - K Bishop
- Research School of Population Health, Australian National University, Building 62, Mills Rd, ACT, 2601, Acton, Australia
| | - H Booth
- School of Demography, Australian National University, Acton, Australia
| | - D Butler
- Research School of Population Health, Australian National University, Building 62, Mills Rd, ACT, 2601, Acton, Australia
| | - M Gourley
- Australian Institute of Health and Welfare, Canberra, Australia
| | - H D Law
- Research School of Population Health, Australian National University, Building 62, Mills Rd, ACT, 2601, Acton, Australia
| | - E Banks
- Research School of Population Health, Australian National University, Building 62, Mills Rd, ACT, 2601, Acton, Australia
| | - V Canudas-Romo
- School of Demography, Australian National University, Acton, Australia
| | - R J Korda
- Research School of Population Health, Australian National University, Building 62, Mills Rd, ACT, 2601, Acton, Australia
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9
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Li QX, Yuan S, Yu Z, Larsson SC, He QQ. Association of food expenditure with life expectancy in the United States, 2001-2014. Nutrition 2021; 91-92:111310. [PMID: 34353683 DOI: 10.1016/j.nut.2021.111310] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 04/20/2021] [Accepted: 04/22/2021] [Indexed: 11/24/2022]
Abstract
OBJECTIVES A healthy diet is associated with reduced risk for premature death; however, data on the association between food expenditure and life expectancy are scarce. The aim of this study was to determine the association of expenditure on food groups with life expectancy in men and women. METHODS This study used data from 1548 counties, representing >90% of the population of the United States from 2001 through the end of 2014. Multivariable adjusted Bayesian generalized linear models were used to assess the association of county-level expenditure on nine groups of individual food and combined healthy and unhealthy foods, and a constructed healthy diet score with life expectancy at 40 y of age by sex. RESULTS A 1-unit increase in the healthy diet score based on food expenditure was associated with a 0.07 y (95% confidence interval [CI], 0.05-0.10), 0.04 y (95% CI, 0.02-0.07), and 0.06 y (95% CI, 0.04-0.08) increase in county-level life expectancy among men alone, women alone, and men and women combined, respectively. Increasing expenditure on whole grains (estimate of per 1% increase 0.07; 95% CI, 0.03-0.11), fresh fruit and vegetables (0.06; 95% CI, 0.02-0.09), and dairy products (0.05; 95% CI, 0.03-0.07), as well as reducing expenditure on sugar-sweetened beverages (-0.02; 95% CI, -0.04 to -0.01) and processed red meat (-0.05; 95% CI, -0.08 to -0.02) showed a positive association with increased county-level life expectancy. CONCLUSIONS These findings may inform a nutritional measure against premature death and stagnation of increase in life expectancy.
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Affiliation(s)
- Qing-Xiao Li
- Department of Applied Economics, University of Minnesota, St Paul, MN, USA
| | - Shuai Yuan
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Zhixiu Yu
- Department of Economics, University of Minnesota, Minneapolis, MN, USA
| | - Susanna C Larsson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Qi-Qiang He
- School of Health Sciences, Wuhan University, Wuhan, China.
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Kiaghadi A, Rifai HS, Dawson CN. The presence of Superfund sites as a determinant of life expectancy in the United States. Nat Commun 2021; 12:1947. [PMID: 33850131 PMCID: PMC8044172 DOI: 10.1038/s41467-021-22249-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Accepted: 02/26/2021] [Indexed: 02/01/2023] Open
Abstract
Superfund sites could affect life expectancy (LE) via increasing the likelihood of exposure to toxic chemicals. Here, we assess to what extent such presence could alter the LE independently and in the context of sociodemographic determinants. A nationwide geocoded statistical modeling at the census tract level was undertaken to estimate the magnitude of impact. Results showed a significant difference in LE among census tracts with at least one Superfund site and their neighboring tracts with no sites. The presence of a Superfund site could cause a decrease of -0.186 ± 0.027 years in LE. This adverse effect could be as high as -1.22 years in tracts with Superfund sites and high sociodemographic disadvantage. Specific characteristics of Superfund sites such as being prone to flooding and the absence of a cleanup strategy could amplify the adverse effect. Furthermore, the presence of Superfund sites amplifies the negative influence of sociodemographic factors at lower LEs.
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Affiliation(s)
- Amin Kiaghadi
- Civil and Environmental Engineering, University of Houston, Houston, TX, USA
- Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, USA
| | - Hanadi S Rifai
- Civil and Environmental Engineering, University of Houston, Houston, TX, USA.
| | - Clint N Dawson
- Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, USA
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11
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Valverde JR, Mackenbach J, Bopp M, Brønnum-Hansen H, Deboosere P, Kalediene R, Kovács K, Leinsalu M, Martikainen P, Regidor E, Strand BH, Nusselder W. Determinants of educational inequalities in disability-free life expectancy between ages 35 and 80 in Europe. SSM Popul Health 2021; 13:100740. [PMID: 33598526 PMCID: PMC7868628 DOI: 10.1016/j.ssmph.2021.100740] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 10/31/2020] [Accepted: 01/16/2021] [Indexed: 01/01/2023] Open
Abstract
Socioeconomic inequalities in disability-free life expectancy (DFLE) exist across all European countries, yet the driving determinants of these differences are not completely known. We calculated the impact on educational inequalities in DFLE of equalizing the distribution of eight risk factors for mortality and disability using register-based mortality data and survey data from 15 European countries for individuals between 35 and 80 years old. From the selected risk factors, the ones that contribute the most to the educational inequalities in DFLE are low income, high body-weight, smoking (for men), and manual occupation of the father. Potentially large reductions in inequalities can be achieved in Eastern European countries, where educational inequalities in DFLE are also the largest. Disability-free life expectancy is lower among low than the high educated in Europe. Over-all, the risk factor contributing most to the inequality was low income. Other important contributors are high body-weight, smoking and father's manual occupation. Size of inequality and contribution of risk factors vary importantly between countries.
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Affiliation(s)
| | - Johan Mackenbach
- Department of Public Health, Erasmus Medical Center, Rotterdam, Netherlands
| | - Matthias Bopp
- Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland
| | - Henrik Brønnum-Hansen
- Department of Public Health, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Patrick Deboosere
- Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium
| | | | - Katalin Kovács
- Hungarian Demographic Research Institute, Budapest, Hungary
| | - Mall Leinsalu
- Department of Epidemiology and Biostatistics, National Institute for Health Development, Tallinn, Estonia
| | | | - Enrique Regidor
- Department of Public Health & Maternal and Child Health, Faculty of Medicine, Universidad Complutense de Madrid y CIBER Epidemiologia y Salud Publica, Madrid, Spain
| | | | - Wilma Nusselder
- Department of Public Health, Erasmus Medical Center, Rotterdam, Netherlands
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12
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Fruit, vegetable, and legume intake and the risk of all-cause, cardiovascular, and cancer mortality: A prospective study. Clin Nutr 2021; 40:4316-4323. [PMID: 33581953 DOI: 10.1016/j.clnu.2021.01.016] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 01/06/2021] [Accepted: 01/09/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND & AIMS Although fruits and vegetable consumption has been shown to be associated with lower risks of mortality, cancers, and cardiovascular disease (CVD), there are limited data from China on the shape of the association. This study aimed to quantify the relationship between levels of fruit, vegetable, and legume consumption with the risk of major CVD, CVD mortality, cancer incidence, cancer mortality, and all-cause mortality. METHODS In the baseline survey, participants attended 1 of 115 (45 urban and 70 rural) communities from 12 provinces to complete a standardized questionnaire, and undergo a physical examination between 2005 and 2009, and were followed up till 2017 (for the current analysis). Diet was assessed through in-person interviews by using validated food-frequency questionnaires. The clinical outcomes were adjudicated centrally by trained physicians using standardized definitions. Cox frailty models were used to explore the associations between fruit, vegetable, and legume consumption with the risk of all-cause, CVD, and cancer mortality. RESULTS A total of 41 243 participants were eligible for inclusion in the analyses. The average combined average daily intake of fruit, vegetable, and legume was 2.97 [standard deviation (SD) 1.22] servings per day. During a median follow-up of 8.9 years [interquartile range (IQR) 6.7-9.9 years], we recorded 1893 major CVDs, 794 cancer events, and 1324 deaths, with 411 CVD deaths and 429 cancer deaths. In the models adjusted for age, sex, and center (random effect), a higher total intake of fruit, vegetable, and legume was inversely associated with CVD mortality, cancer incidence, cancer mortality, and all-cause mortality. After adjusting for additional covariates, the associations were evidently attenuated and only the association with all-cause mortality (hazard ratio [HR] trend 0.92, 95% CI 0.86-0.98, p trend = 0.021) remained significant, with a non-significant trend for major CVD (HR trend 1.02, 95% CI 0.97-1.08, p trend = 0.449), CVD mortality (HR trend 0.94, 95% CI 0.84-1.06, p trend = 0.301), cancer incidence (HR trend 0.97, 95% CI 0.89-1.06, p trend = 0.540), or cancer mortality (HR trend 0.92, 95% CI 0.82-1.04, p trend = 0.174). Compared with the reference group, the risk of all-cause mortality was the lowest for four to five servings of total daily intake of fruit, vegetable, and legume (HR 0.73, 95% CI 0.55-0.97), and did not show a further decrease for the higher intake group. Separately, fruit intake was associated with a lower risk of all-cause mortality (HR trend 0.92, 95% CI 0.86-0.99, p trend = 0.020) and legume intake was associated with a lower risk of major CVD (HR trend 0.95, 95% CI 0.90-0.99, p trend = 0.028) and all-cause mortality (HR trend 0.94, 95% CI 0.89-0.99, p trend = 0.020) in the fully adjusted models. CONCLUSIONS This prospective study suggests that Chinese people with daily consumption of four to five servings (equivalent to 500-625 g/day) of fruit, vegetable, and legume demonstrated the lowest mortality, which conveys an encouraging message to the public that lifestyle modification to increase fruit, vegetable, and legume intakes may have greater beneficial effects on reducing all-cause mortality.
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Ronda-Pérez E, Campos-Mora J, de Juan A, Gea T, Reid A, Caballero P. Differences in the Prevalence of Fruit and Vegetable Consumption in Spanish Workers. Nutrients 2020; 12:nu12123848. [PMID: 33339303 PMCID: PMC7766638 DOI: 10.3390/nu12123848] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 12/10/2020] [Accepted: 12/14/2020] [Indexed: 11/16/2022] Open
Abstract
The present study aims to examine the differences in daily fruit and vegetable consumption in the working population in Spain. A cross-sectional study was conducted, using data from the 2017 National Health Survey (n = 10,700 workers aged between 18 and 65 years). The daily consumption of fruit and vegetables was evaluated using two items included in a food frequency questionnaire. Occupations were classified into the 17 main groups of the National Classification of Occupations of 2011 (CNO-11). The prevalence (P) of daily fruit and vegetable consumption was calculated in relation to sociodemographic characteristics, health behaviors, work-related characteristics and occupations. Logistic regression analysis was performed to examine the association, with simple and adjusted Odds Ratio (aOR). The P of daily consumption of fruit and vegetables in workers was 60% for fruit and 40% for vegetables. After adjusting for sociodemographic characteristics and health behaviors, workers working night or rotating shifts had a lower consumption of fruits (aOR:0.9; p < 0.05), and those working on temporary contracts had a lower consumption of vegetables (aOR:0.8; p < 0.05). Engineers, scientists, health care workers and teachers had the highest fruit consumption (74.5%) and the highest vegetable consumption (55.1%). The lowest consumption of fruits was presented by the military (42.3%) and unskilled workers in the service sector (45.8%), and the lowest consumption of vegetables was presented by skilled construction workers (25.5%). These findings could aid in workplace health promotion and could be used in future studies to evaluate the impact of the activities adopted.
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Affiliation(s)
- Elena Ronda-Pérez
- Department of Community Nursing, Preventive Medicine and Public Health and History of Science, University of Alicante, 03690 Alicante, Spain;
- CIBER de Epidemiología y Salud Pública (CIBERESP), 28029 Madrid, Spain
- Correspondence: ; Tel.: +34-965-903-919
| | - Julia Campos-Mora
- Preventive Medicine and Public Health Service, University Hospital of Alicante, 03010 Alicante, Spain; (J.C.-M.); (A.d.J.); (T.G.)
| | - Alba de Juan
- Preventive Medicine and Public Health Service, University Hospital of Alicante, 03010 Alicante, Spain; (J.C.-M.); (A.d.J.); (T.G.)
| | - Teresa Gea
- Preventive Medicine and Public Health Service, University Hospital of Alicante, 03010 Alicante, Spain; (J.C.-M.); (A.d.J.); (T.G.)
| | - Alison Reid
- School of Public Health, Curtin University, 6102 Perth, Australia;
| | - Pablo Caballero
- Department of Community Nursing, Preventive Medicine and Public Health and History of Science, University of Alicante, 03690 Alicante, Spain;
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Vineis P, Avendano-Pabon M, Barros H, Bartley M, Carmeli C, Carra L, Chadeau-Hyam M, Costa G, Delpierre C, D'Errico A, Fraga S, Giles G, Goldberg M, Kelly-Irving M, Kivimaki M, Lepage B, Lang T, Layte R, MacGuire F, Mackenbach JP, Marmot M, McCrory C, Milne RL, Muennig P, Nusselder W, Petrovic D, Polidoro S, Ricceri F, Robinson O, Stringhini S, Zins M. Special Report: The Biology of Inequalities in Health: The Lifepath Consortium. Front Public Health 2020; 8:118. [PMID: 32478023 PMCID: PMC7235337 DOI: 10.3389/fpubh.2020.00118] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 03/24/2020] [Indexed: 12/16/2022] Open
Abstract
Funded by the European Commission Horizon 2020 programme, the Lifepath research consortium aimed to investigate the effects of socioeconomic inequalities on the biology of healthy aging. The main research questions included the impact of inequalities on health, the role of behavioral and other risk factors, the underlying biological mechanisms, the efficacy of selected policies, and the general implications of our findings for theories and policies. The project adopted a life-course and comparative approach, considering lifetime effects from childhood and adulthood, and pooled data on up to 1.7 million participants of longitudinal cohort studies from Europe, USA, and Australia. These data showed that socioeconomic circumstances predicted mortality and functional decline as strongly as established risk factors currently targeted by global prevention programmes. Analyses also looked at socioeconomically patterned biological markers, allostatic load, and DNA methylation using richly phenotyped cohorts, unraveling their association with aging processes across the life-course. Lifepath studies suggest that socioeconomic circumstances are embedded in our biology from the outset-i.e., disadvantage influences biological systems from molecules to organs. Our findings have important implications for policy, suggesting that (a) intervening on unfavorable socioeconomic conditions is complementary and as important as targeting well-known risk factors, such as tobacco and alcohol consumption, low fruit and vegetable intake, obesity and a sedentary lifestyle, and that (b) effects of preventive interventions in early life integrate interventions in adulthood. The report has an executive summary that refers to the different sections of the main paper.
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Affiliation(s)
- Paolo Vineis
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Mauricio Avendano-Pabon
- Department of Social Sciences, Health and Medicine, King's College London, London, United Kingdom
| | - Henrique Barros
- EPIUnit – Institute of Public Health University of Porto, Porto, Portugal
| | - Mel Bartley
- Department of Epidemiology & Public Health, University College London, London, United Kingdom
| | - Cristian Carmeli
- Center for Primary Care and Public Health (UNISANTE), University of Lausanne, Lausanne, Switzerland
| | | | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Giuseppe Costa
- Department of Clinical Science & Biology, Turin University Medical School, Turin, Italy
| | - Cyrille Delpierre
- UMR LEASP, Université de Toulouse III, UPS, Inserm, Toulouse, France
| | | | - Silvia Fraga
- EPIUnit – Institute of Public Health University of Porto, Porto, Portugal
| | - Graham Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
| | - Marcel Goldberg
- UMS 011 Inserm - UVSQ ≪ Cohortes épidémiologiques en population ≫, Villejuif, France
| | | | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Benoit Lepage
- UMR LEASP, Université de Toulouse III, UPS, Inserm, Toulouse, France
| | - Thierry Lang
- UMR LEASP, Université de Toulouse III, UPS, Inserm, Toulouse, France
| | - Richard Layte
- Department of Sociology, School of Social Sciences and Philosophy, Trinity College Dublin, Dublin, Ireland
| | - Frances MacGuire
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Johan P. Mackenbach
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Michael Marmot
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Cathal McCrory
- Department of Medical Gerontology, Trinity College Dublin, Dublin, Ireland
| | - Roger L. Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
| | - Peter Muennig
- Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Wilma Nusselder
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Dusan Petrovic
- Center for Primary Care and Public Health (UNISANTE), University of Lausanne, Lausanne, Switzerland
| | - Silvia Polidoro
- Molecular Epidemiology and Exposomics Unit, Italian Institute for Genomic Medicine, Turin, Italy
| | - Fulvio Ricceri
- Department of Clinical Science & Biology, Turin University Medical School, Turin, Italy
- Department of Epidemiology, ASL TO3, Turin, Italy
| | - Oliver Robinson
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Silvia Stringhini
- Unit of Population Epidemiology, Division of Primary Care, Geneva University Hospitals, Geneva, Switzerland
| | - Marie Zins
- UMS 011 Inserm - UVSQ ≪ Cohortes épidémiologiques en population ≫, Villejuif, France
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Eating and healthy ageing: a longitudinal study on the association between food consumption, memory loss and its comorbidities. Int J Public Health 2020; 65:571-582. [PMID: 32052084 DOI: 10.1007/s00038-020-01337-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 01/13/2020] [Accepted: 02/01/2020] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVES To explore the longitudinal association between food groups and memory loss and comorbid heart disease and diabetes (both Type 1 and 2) for people living in New South Wales, Australia. METHODS We assessed 139,096 adults (aged 45 years and over) from the 45 and Up Study who completed both baseline (2006-2009) and follow-up (2012-2015) surveys. Mixed linear and generalized estimating equation models were used to examine the longitudinal associations. RESULTS High consumption of fruit, vegetable and protein-rich food associated with lower odds of memory loss. High consumption of fruit and vegetables also associated with lower odds of comorbid heart disease (p ≤ 0.001). People who aged ≥ 80 years with low consumption of cereals had the highest odds of memory loss and comorbid heart disease than people in other age groups (p < 0.01). CONCLUSIONS The results highlighted the longitudinal association of fruit and vegetable in relation to memory loss and comorbid heart disease. Age effects on cereals consumption which have an influence on memory loss and comorbid heart disease.
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16
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Vineis P, Avendano-Pabon M, Barros H, Bartley M, Carmeli C, Carra L, Chadeau-Hyam M, Costa G, Delpierre C, D'Errico A, Fraga S, Giles G, Goldberg M, Kelly-Irving M, Kivimaki M, Lepage B, Lang T, Layte R, MacGuire F, Mackenbach JP, Marmot M, McCrory C, Milne RL, Muennig P, Nusselder W, Petrovic D, Polidoro S, Ricceri F, Robinson O, Stringhini S, Zins M. Special Report: The Biology of Inequalities in Health: The Lifepath Consortium. Front Public Health 2020. [PMID: 32478023 DOI: 10.3389/fpubh.2020.00118/full] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023] Open
Abstract
Funded by the European Commission Horizon 2020 programme, the Lifepath research consortium aimed to investigate the effects of socioeconomic inequalities on the biology of healthy aging. The main research questions included the impact of inequalities on health, the role of behavioral and other risk factors, the underlying biological mechanisms, the efficacy of selected policies, and the general implications of our findings for theories and policies. The project adopted a life-course and comparative approach, considering lifetime effects from childhood and adulthood, and pooled data on up to 1.7 million participants of longitudinal cohort studies from Europe, USA, and Australia. These data showed that socioeconomic circumstances predicted mortality and functional decline as strongly as established risk factors currently targeted by global prevention programmes. Analyses also looked at socioeconomically patterned biological markers, allostatic load, and DNA methylation using richly phenotyped cohorts, unraveling their association with aging processes across the life-course. Lifepath studies suggest that socioeconomic circumstances are embedded in our biology from the outset-i.e., disadvantage influences biological systems from molecules to organs. Our findings have important implications for policy, suggesting that (a) intervening on unfavorable socioeconomic conditions is complementary and as important as targeting well-known risk factors, such as tobacco and alcohol consumption, low fruit and vegetable intake, obesity and a sedentary lifestyle, and that (b) effects of preventive interventions in early life integrate interventions in adulthood. The report has an executive summary that refers to the different sections of the main paper.
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Affiliation(s)
- Paolo Vineis
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Mauricio Avendano-Pabon
- Department of Social Sciences, Health and Medicine, King's College London, London, United Kingdom
| | - Henrique Barros
- EPIUnit - Institute of Public Health University of Porto, Porto, Portugal
| | - Mel Bartley
- Department of Epidemiology & Public Health, University College London, London, United Kingdom
| | - Cristian Carmeli
- Center for Primary Care and Public Health (UNISANTE), University of Lausanne, Lausanne, Switzerland
| | | | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Giuseppe Costa
- Department of Clinical Science & Biology, Turin University Medical School, Turin, Italy
| | - Cyrille Delpierre
- UMR LEASP, Université de Toulouse III, UPS, Inserm, Toulouse, France
| | | | - Silvia Fraga
- EPIUnit - Institute of Public Health University of Porto, Porto, Portugal
| | - Graham Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
| | - Marcel Goldberg
- UMS 011 Inserm - UVSQ ≪ Cohortes épidémiologiques en population ≫, Villejuif, France
| | | | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Benoit Lepage
- UMR LEASP, Université de Toulouse III, UPS, Inserm, Toulouse, France
| | - Thierry Lang
- UMR LEASP, Université de Toulouse III, UPS, Inserm, Toulouse, France
| | - Richard Layte
- Department of Sociology, School of Social Sciences and Philosophy, Trinity College Dublin, Dublin, Ireland
| | - Frances MacGuire
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Johan P Mackenbach
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Michael Marmot
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Cathal McCrory
- Department of Medical Gerontology, Trinity College Dublin, Dublin, Ireland
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, VIC, Australia
| | - Peter Muennig
- Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Wilma Nusselder
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Dusan Petrovic
- Center for Primary Care and Public Health (UNISANTE), University of Lausanne, Lausanne, Switzerland
| | - Silvia Polidoro
- Molecular Epidemiology and Exposomics Unit, Italian Institute for Genomic Medicine, Turin, Italy
| | - Fulvio Ricceri
- Department of Clinical Science & Biology, Turin University Medical School, Turin, Italy
- Department of Epidemiology, ASL TO3, Turin, Italy
| | - Oliver Robinson
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Silvia Stringhini
- Unit of Population Epidemiology, Division of Primary Care, Geneva University Hospitals, Geneva, Switzerland
| | - Marie Zins
- UMS 011 Inserm - UVSQ ≪ Cohortes épidémiologiques en population ≫, Villejuif, France
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