Mall Leinsalu

ORCID: 0000-0003-4453-4760
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About
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Research Areas
  • Health disparities and outcomes
  • Global Health Care Issues
  • Employment and Welfare Studies
  • Food Security and Health in Diverse Populations
  • Obesity, Physical Activity, Diet
  • Health Promotion and Cardiovascular Prevention
  • Global Cancer Incidence and Screening
  • Climate Change and Health Impacts
  • Global Public Health Policies and Epidemiology
  • Smoking Behavior and Cessation
  • Chronic Disease Management Strategies
  • Global Maternal and Child Health
  • Alcohol Consumption and Health Effects
  • Homelessness and Social Issues
  • Substance Abuse Treatment and Outcomes
  • Insurance, Mortality, Demography, Risk Management
  • Global Health Workforce Issues
  • Healthcare Systems and Reforms
  • Suicide and Self-Harm Studies
  • Child Nutrition and Water Access
  • Mental Health Treatment and Access
  • Obesity and Health Practices
  • Retirement, Disability, and Employment
  • Psychological Well-being and Life Satisfaction
  • Air Quality and Health Impacts

Södertörn University
2015-2025

National Institute for Health Development
2016-2025

University of Latvia
2020

University of Helsinki
2020

Social Change and Development
2019

National Institutes of Health
2008-2014

Max Planck Institute for Demographic Research
2011

Centre for Health Equity Studies
2011

Karolinska Institutet
2011

Stockholm University
2011

Marie Ng Tom Fleming Margaret S. Robinson Blake Thomson Nicholas Graetz and 95 more Christopher Margono Erin C Mullany Stan Biryukov Cristiana Abbafati Semaw Ferede Abera Jerry Abraham Niveen M E Abu-Rmeileh Tom Achoki Fadia AlBuhairan Zewdie Aderaw Alemu Rafael Alfonso Mohammed K. Ali Raghib Ali Nelson Alvis‐Guzmán Walid Ammar Palwasha Anwari Amitava Banerjee Sı́món Barquera Sanjay Basu Derrick Bennett Zulfiqar A Bhutta Jed D Blore Norberto L. Cabral Ismael Campos‐Nonato Jung‐Chen Chang Rajiv Chowdhury Karen Courville Michael H Criqui David K Cundiff Kaustubh Dabhadkar Lalit Dandona Adrian Davis Anand Dayama Samath D Dharmaratne Eric L. Ding Adnan M Durrani Alireza Esteghamati Farshad Farzadfar Derek F J Fay Valery L. Feigin Abraham D Flaxman Mohammad H Forouzanfar Atsushi Goto Mark Green Tarun Gupta Nima Hafezi‐Nejad Graeme J. Hankey Heather Harewood Rasmus Havmoeller Simon I Hay Lucía Hernández Abdullatif Husseini Bulat Idrisov Nayu Ikeda Farhad Islami Eiman Jahangir Simerjot K Jassal Sun Ha Jee Mona Jeffreys Jost B. Jonas Edmond K. Kabagambe Shams Eldin Ali Hassan Khalifa André Pascal Kengne Yousef Khader Young‐Ho Khang Daniel Kim Ruth W Kimokoti Jonas M Kinge Yoshihiro Kokubo Soewarta Kosen Gene F. Kwan Taavi Lai Mall Leinsalu Li Y Xiaofeng Liang Shiwei Liu Giancarlo Logroscino Paulo A. Lotufo Yuan Lu Jixiang Ma Nana Kwaku Mainoo George A. Mensah Tony R. Merriman Ali H. Mokdad Joanna Moschandreas Mohsen Naghavi Aliya Naheed Devina Nand K M Venkat Narayan Erica L. Nelson Marian L. Neuhouser Muhammad Imran Nisar Takayoshi Ohkubo Samuel Oti Andrea Pedroza-Tobías

10.1016/s0140-6736(14)60460-8 article EN The Lancet 2014-05-28

Comparisons among countries can help to identify opportunities for the reduction of inequalities in health. We compared magnitude mortality and self-assessed health 22 all parts Europe.We obtained data on according education level occupational class from census-based studies. Deaths were classified cause, including common causes, such as cardiovascular disease cancer; causes related smoking; alcohol use; amenable medical intervention, tuberculosis hypertension. Data health, smoking, obesity...

10.1056/nejmsa0707519 article EN New England Journal of Medicine 2008-06-04

BackgroundSocioeconomic inequalities in longevity have been found all European countries. We aimed to assess which determinants make the largest contribution these inequalities.MethodsWe did an international comparative study of risk factors for shorter life expectancy Europe. collected register-based mortality data and survey-based factor from 15 calculated partial expectancies between ages 35 years 80 by education gender determined effect on changing prevalence eight factors—father with a...

10.1016/s2468-2667(19)30147-1 article EN cc-by The Lancet Public Health 2019-10-01

Unfavorable health trends among the lowly educated have recently been reported from United States. We analyzed by education in European countries, paying particular attention to possibility of recent trend interruptions, including interruptions related impact 2008 financial crisis. collected and harmonized data on mortality ca 1980 2014 for 17 countries covering 9.8 million deaths self-reported morbidity 2002 27 350,000 survey respondents. used interrupted time-series analyses study changes...

10.1073/pnas.1800028115 article EN cc-by Proceedings of the National Academy of Sciences 2018-06-04

Background Over the last decades of 20th century, a widening gap in death rates between upper and lower socioeconomic groups has been reported for many European countries. For most countries, it is unknown whether this continued into first decade 21st century. Methods We collected harmonised data on mortality by educational level among men women aged 30–74 years all countries with available data: Finland, Sweden, Norway, Denmark, England Wales, Belgium, France, Switzerland, Spain, Italy,...

10.1136/jech-2014-204319 article EN Journal of Epidemiology & Community Health 2014-06-25

Socioeconomic inequalities in alcohol-related mortality have been documented several European countries, but it is unknown whether the magnitude of these differs between countries and increase or decrease over time.We collected harmonized data on from four causes (alcoholic psychosis, dependence, abuse; alcoholic cardiomyopathy; liver cirrhosis; accidental poisoning by alcohol) age, sex, education level, occupational class 20 populations 17 different both for a recent period previous points...

10.1371/journal.pmed.1001909 article EN cc-by PLoS Medicine 2015-12-01

Reducing socioeconomic inequalities in cancer is a priority for the public health agenda. A systematic assessment and benchmarking of across many countries over time Europe not yet available.

10.1016/j.lanepe.2022.100551 article EN cc-by-nc-nd The Lancet Regional Health - Europe 2022-11-28

This study compared differences in total and cause-specific mortality by educational level among women with those men 7 countries: the United States, Finland, Norway, Italy, Czech Republic, Hungary, Estonia.National data were obtained for period ca. 1980 to 1990. Age-adjusted rate ratios comparing a broad lower-educational group upper-educational calculated Poisson regression analysis.Total ranged from 1.09 Republic 1.31 States Estonia. Higher rates lower-educated found most causes of death,...

10.2105/ajph.89.12.1800 article EN American Journal of Public Health 1999-12-01

Background: Recently a scale was introduced to quantify the implementation of tobacco control policies at country level. Our study used this examine potential impact these on quit ratios in European countries. Special attention given smoking cessation among lower educational groups. Methods: Cross-sectional data were derived from national health surveys 18 In analyses we distinguished between country, sex, two age groups (25–39 and 40–59 years) Age-standardised calculated as total...

10.1136/tc.2007.024265 article EN Tobacco Control 2008-05-15

To investigate the phenomenon of alcohol poisoning in Russia and countries European part former Soviet Union period 1970-2002.Four time points were chosen spanning late post-Soviet periods. Data relating to deaths collected at each point for region-Belarus, Estonia, Latvia, Lithuania, Ukraine. Age-standardized death rates from subsequently calculated total population separately men women.In 1970, this region exceptionally high comparative terms. Rates continued rise all countries, only...

10.1093/eurpub/ckl275 article EN European Journal of Public Health 2007-02-27

The magnitude of socioeconomic inequalities in mortality differs importantly between countries, but these variations have not been satisfactorily explained. We explored the role behavioral and structural determinants variations, by using a dataset covering 17 European countries period 1970-2010, conducting multilevel multivariate regression analyses. Our results suggest that between-country current can partly be understood from smoking, excessive alcohol consumption, poverty. Also, with...

10.1016/j.healthplace.2017.07.005 article EN cc-by Health & Place 2017-07-21

Whereas it is well established that people with a lower socio-economic position have shorter average lifespan, less clear what the variability surrounding these averages is. We set out to examine whether educated groups face greater variation in lifespans addition having life expectancy, order identify entry points for policies reduce impact of on mortality.We used harmonized, census-based mortality data from 10 European countries construct tables by sex and educational level (low, medium,...

10.1093/ije/dyr146 article EN International Journal of Epidemiology 2011-10-03

Socioeconomic inequalities in mortality are a challenge for public health around the world, but appear to be resistant policy-making. We aimed identify European countries which have been more successful than others narrowing mortality, and factors associated with inequalities. collected harmonised data by educational level 15 over last 25 years, quantified changes using range of measures capturing different perspectives on inequality (e.g., 'relative' 'absolute' inequalities, 'attainment'...

10.1007/s10654-019-00580-9 article EN cc-by European Journal of Epidemiology 2019-11-15

Abstract Sleep problems are considered a core symptom of depression. However, there is little information about the comorbidity sleep and depression in low- middle-income countries (LMICs), whether with confer additional risk for decrements health compared to alone. This study thus examined association between associated an increased poorer 46 LMICs. Cross-sectional, community-based data from 237 023 adults aged ≥18 years World Health Survey (WHS) 2002–2004 were analyzed. Information on...

10.1038/s41598-019-48334-7 article EN cc-by Scientific Reports 2019-08-19

Background Having regained its political autonomy in 1991, Estonia experienced major changes political, economic, and social realities. We aimed to analyse mortality by education from 1989 2000 order assess the impact of recent Estonia, as well delayed effects pre-transitional developments.

10.1093/ije/dyg192 article EN International Journal of Epidemiology 2003-12-01

Background Post-communist transition has had a huge impact on mortality in Eastern Europe. We examined how educational inequalities changed between 1990 and 2000 Estonia, Lithuania, Poland Hungary.

10.1093/ije/dyn248 article EN International Journal of Epidemiology 2008-12-03

<h3>Background</h3> The magnitude of educational inequalities in mortality avoidable by medical care 16 European populations was compared, and the contribution to life expectancy Europe determined. <h3>Methods</h3> Mortality data were obtained for people aged 30–64 years. For each country, association between level education measured with use regression-based inequality indexes. Life table analysis used calculate causes death lower higher educated groups. <h3>Results</h3> Educational present...

10.1136/jech.2008.081737 article EN Journal of Epidemiology & Community Health 2009-10-14

Background Suicide has been decreasing over the past decade. However, we do not know whether socioeconomic inequality in suicide as well. Aims We assessed recent trends inequalities 15 European populations. Method The DEMETRIQ study collected and harmonised register-based data on mortality follow-up of population censuses, from 1991 2001, populations aged 35–79. Absolute relative according to education were computed more than 300 million person-years. Results In 1990s, people lowest...

10.1192/bjp.2017.32 article EN The British Journal of Psychiatry 2018-05-22

10.1016/s0277-9536(01)00221-0 article EN Social Science & Medicine 2002-09-01

Abstract Background Previous studies have reported large socioeconomic inequalities in mortality from conditions amenable to medical intervention, but it is unclear whether these can be attributed access or quality of health care, confounding influences such as background risk diseases. We therefore studied intervention vary between countries patterns which differ those observed for other (non-amenable) causes death. More specifically, we hypothesized that, compared non-amenable causes, are...

10.1186/1471-2458-12-346 article EN cc-by BMC Public Health 2012-05-11
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