scispace - formally typeset
Search or ask a question
Journal ArticleDOI

Inequalities in non-communicable diseases and effective responses

TL;DR: Effective actions to reduce NCD inequalities include equitable early childhood development programmes and education; removal of barriers to secure employment in disadvantaged groups; comprehensive strategies for tobacco and alcohol control and for dietary salt reduction that target low socioeconomic status groups.
About: This article is published in The Lancet.The article was published on 2013-02-16 and is currently open access. It has received 544 citations till now. The article focuses on the topics: Socioeconomic status & Health care.

Summary (2 min read)

Introduction

  • Non-communicable diseases (NCDs) cause 35 million of the 53 million annual deaths worldwide; more than three-quarters of these deaths occur in low-income and middle-income countries.
  • The scarcity of similar worldwide evidence for NCDs creates diffi culties in formulation and implementation of actions that reduce NCD inequalities, and in assessment of how these actions might help to decrease the total NCD burden.
  • See Comment page 509 Reduction of dietary salt intake by regulation, well-designed public education, and mass media campaigns that target disadvantaged and marginalised social groups, and perhaps negotiated voluntary actions by food manufacturers .
  • In examples the authors refer specifi cally to cancers, cardiovascular diseases, diabetes, and chronic respiratory diseases—four disease groups that together account for more than 80% of NCD deaths and are included in global goals.

NCD outcomes

  • Studies in high-income countries, especially those outside Asia, have shown that NCD mortality is higher in people with low education, income, or social class;8–17 those in marginalised ethnic groups ;18–21 and those living in poor and deprived communities.
  • 22–25 These socioeconomic gradients are generally smaller, and for some diseases even reversed, in southern Europe and Asia.9,10,49,50 Figure 3 shows age-standardised cancer and cardiovascular disease death rates in the lowest and highest quintiles of community socioeconomic status in Eng land, Japan, New Zealand, and South Korea—four countries with complete death registration and medical certifi cation of cause of death.
  • Nonetheless, the more pro-equity policies and programmes seem to have helped to reduce health inequalities compared with their peak in the 1990s.
  • By contrast with New Zealand’s eff orts to reduce health inequalities, recent policy choices could worsen health inequalities between Canada’s indigenous population (the First Nations) and other groups.

NCD risk factors

  • The socioeconomic patterns of major NCD risk factors show similarities and important diff erences across countries on the basis of region and stage of economic development.
  • By contrast with smoking, concentration of serum total cholesterol and body-mass index had positive associations with education in low-income countries and, for men, in middle-income countries,62–64 whereas in high-income countries, both risk factors were inversely associated with education in women but neither risk factor had an association with education in men (fi gure 5).
  • Investigators have studied how risk factor inequalities change over time in the same community or country.
  • Thus, equitable reductions in risk factor exposure are essential to reduce social inequalities in NCD outcomes.

NCD healthcare

  • People in low-income and middle-income countries have less access to NCD care and treatment, especially to primary care, which can eff ectively reduce some NCD risk factors and prevent advanced-stage disease and complications at relatively low cost by early detection and treatment.
  • Low access to treatment leads to poor prognosis and survival in patients with NCDs in developing countries.
  • Patients with cancer in high-income countries have up to twice the survival rate of those in middle-income countries, and survival rates are even lower in India and Africa.
  • Vol 381 February 16, 2013 lower blood pressure and lipids,38 whereas, with the possible exception of anti platelet treatment, coverage is systematically lower in low-income and middle-income countries, and is as low as 5% for statins.

NCD health care

  • Inequalities also exist in fi nancial and physical access to health care, and health-care use and quality, based on individual and community characteristics.
  • Further reduction of global inequalities will need actions and targets that focus on countries where NCD mortality and risk factors are presently highest—ie, generally low-income and middle-income countries.
  • Past work into the causes of health inequalities has drawn attention to the roles of environmental, political, and psychosocial factors; health behaviours and proximal risk factors; and health-care access and quality.
  • Social policies and programmes that improve opportunities and capabilities for economic productivity and social participation, and facilitate healthy lifestyles and environments, are essential to improve health and reduce inequalities.
  • Even when such data are collected, data quality and comparability issues will need to be addressed, as has been done for the measurement of health outcomes and risk factors.

Contributors

  • MDC, Y-HK, PA, TB, CK, JWL, MGM, and ME helped to identify relevant studies.
  • ME oversaw the research and wrote the fi rst draft of the report.
  • MDC, Y-HK, PA, TB, CK, and JWL helped to write specifi c sections of the article.
  • All authors provided input into the fi nal report.

Acknowledgments

  • The author alone is responsible for the views expressed in this publication and they do not necessarily represent the decisions, policy, or views of WHO.
  • The authors thank June Atkinson and Peter Hambly for data, analysis, and methods related to mortality in England and New Zealand; Jorge Duarte for analysis of risk factors in Colombia; and Robert Beaglehole, Ruth Bonita, Pascal Bovet, Shah Ebrahim, Christopher Millett, participants in The Lancet Non-Communicable Disease Series review meetings, and anonymous reviewers for valuable comments on earlier drafts.
  • ME is supported by a Strategic Award from the UK Medical Research Council and by the National Institute for Health Research Comprehensive Biomedical Research Centre at Imperial College Healthcare NHS Trust.
  • Analysis of data from England was done by the Small Area Health Statistics Units, funded by the Health Protection Agency in England as part of the Medical Research Council–Health Protection Agency Centre for Environment and Health at Imperial College London.

Did you find this useful? Give us your feedback

Figures (2)
Citations
More filters
Journal ArticleDOI
Christina Fitzmaurice1, Christina Fitzmaurice2, Daniel Dicker2, Daniel Dicker1, Amanda W Pain2, Hannah Hamavid2, Maziar Moradi-Lakeh2, Michael F. MacIntyre3, Michael F. MacIntyre2, Christine Allen2, Gillian M. Hansen2, Rachel Woodbrook2, Charles D.A. Wolfe2, Randah R. Hamadeh4, Ami R. Moore5, A. Werdecker6, Bradford D. Gessner, Braden Te Ao, Brian J. McMahon7, Chante Karimkhani8, Chuanhua Yu9, Graham S Cooke10, David C. Schwebel11, David O. Carpenter12, David M. Pereira13, Denis Nash, Dhruv S. Kazi14, Diego De Leo15, Dietrich Plass16, Kingsley N. Ukwaja17, George D. Thurston, Kim Yun Jin18, Edgar P. Simard19, Edward J Mills20, Eun-Kee Park21, Ferrán Catalá-López22, Gabrielle deVeber, Carolyn C. Gotay23, Gulfaraz Khan24, H. Dean Hosgood25, Itamar S. Santos26, Janet L Leasher27, Jasvinder A. Singh28, James Leigh12, Jost B. Jonas29, Juan R. Sanabria30, Justin Beardsley31, Justin Beardsley32, Kathryn H. Jacobsen33, Ken Takahashi34, Richard C. Franklin, Luca Ronfani35, Marcella Montico36, Luigi Naldi36, Marcello Tonelli, Johanna M. Geleijnse37, Max Petzold38, Mark G. Shrime39, Mark G. Shrime40, Mustafa Z. Younis41, Naohiro Yonemoto42, Nicholas J K Breitborde, Paul S. F. Yip43, Farshad Pourmalek44, Paulo A. Lotufo24, Alireza Esteghamati27, Graeme J. Hankey45, Raghib Ali46, Raimundas Lunevicius33, Reza Malekzadeh47, Robert P. Dellavalle45, Robert G. Weintraub48, Robert G. Weintraub49, Robyn M. Lucas50, Robyn M. Lucas51, Roderick J Hay52, David Rojas-Rueda, Ronny Westerman, Sadaf G. Sepanlou53, Sandra Nolte, Scott B. Patten54, Scott Weichenthal37, Semaw Ferede Abera55, Seyed-Mohammad Fereshtehnejad56, Ivy Shiue57, Tim Driscoll58, Tim Driscoll59, Tommi J. Vasankari29, Ubai Alsharif, Vafa Rahimi-Movaghar54, Vasiliy Victorovich Vlassov45, W. S. Marcenes60, Wubegzier Mekonnen61, Yohannes Adama Melaku62, Yuichiro Yano56, Al Artaman63, Ismael Campos, Jennifer H MacLachlan41, Ulrich O Mueller, Daniel Kim53, Matias Trillini64, Babak Eshrati65, Hywel C Williams66, Kenji Shibuya67, Rakhi Dandona68, Kinnari S. Murthy69, Benjamin C Cowie69, Azmeraw T. Amare, Carl Abelardo T. Antonio70, Carlos A Castañeda-Orjuela71, Coen H. Van Gool, Francesco Saverio Violante, In-Hwan Oh72, Kedede Deribe73, Kjetil Søreide62, Kjetil Søreide74, Luke D. Knibbs75, Luke D. Knibbs76, Maia Kereselidze77, Mark Green78, Rosario Cardenas79, Nobhojit Roy80, Taavi Tillmann57, Yongmei Li81, Hans Krueger82, Lorenzo Monasta24, Subhojit Dey36, Sara Sheikhbahaei, Nima Hafezi-Nejad45, G Anil Kumar45, Chandrashekhar T Sreeramareddy69, Lalit Dandona83, Haidong Wang2, Haidong Wang69, Stein Emil Vollset2, Ali Mokdad75, Ali Mokdad84, Joshua A. Salomon2, Rafael Lozano41, Theo Vos2, Mohammad H. Forouzanfar2, Alan D. Lopez2, Christopher J L Murray50, Mohsen Naghavi2 
University of Washington1, Institute for Health Metrics and Evaluation2, Iran University of Medical Sciences3, King's College London4, Arabian Gulf University5, University of North Texas6, Auckland University of Technology7, Alaska Native Tribal Health Consortium8, Columbia University9, Wuhan University10, Imperial College London11, University of Alabama at Birmingham12, University at Albany, SUNY13, City University of New York14, University of California, San Francisco15, Griffith University16, Environment Agency17, New York University18, Southern University College19, Emory University20, University of Ottawa21, Kosin University22, University of Toronto23, University of British Columbia24, United Arab Emirates University25, Albert Einstein College of Medicine26, University of São Paulo27, Nova Southeastern University28, University of Sydney29, Heidelberg University30, Case Western Reserve University31, Cancer Treatment Centers of America32, University of Oxford33, George Mason University34, James Cook University35, University of Trieste36, University of Calgary37, Wageningen University and Research Centre38, University of the Witwatersrand39, University of Gothenburg40, Harvard University41, Jackson State University42, University of Arizona43, University of Hong Kong44, Tehran University of Medical Sciences45, University of Western Australia46, Aintree University Hospitals NHS Foundation Trust47, Veterans Health Administration48, University of Colorado Denver49, University of Melbourne50, Royal Children's Hospital51, Australian National University52, University of Marburg53, Charité54, Health Canada55, College of Health Sciences, Bahrain56, Karolinska Institutet57, Northumbria University58, University of Edinburgh59, National Research University – Higher School of Economics60, Queen Mary University of London61, Addis Ababa University62, Northwestern University63, Northeastern University64, Mario Negri Institute for Pharmacological Research65, Arak University of Medical Sciences66, University of Nottingham67, University of Tokyo68, Public Health Foundation of India69, University of Groningen70, University of the Philippines Manila71, University of Bologna72, Kyung Hee University73, Brighton and Sussex Medical School74, University of Bergen75, Stavanger University Hospital76, University of Queensland77, National Centre for Disease Control78, University of Sheffield79, Universidad Autónoma Metropolitana80, University College London81, Genentech82, Universiti Tunku Abdul Rahman83, Norwegian Institute of Public Health84
TL;DR: To estimate mortality, incidence, years lived with disability, years of life lost, and disability-adjusted life-years for 28 cancers in 188 countries by sex from 1990 to 2013, the general methodology of the Global Burden of Disease 2013 study was used.
Abstract: Importance Cancer is among the leading causes of death worldwide. Current estimates of cancer burden in individual countries and regions are necessary to inform local cancer control strategies. Objective To estimate mortality, incidence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs) for 28 cancers in 188 countries by sex from 1990 to 2013. Evidence Review The general methodology of the Global Burden of Disease (GBD) 2013 study was used. Cancer registries were the source for cancer incidence data as well as mortality incidence (MI) ratios. Sources for cause of death data include vital registration system data, verbal autopsy studies, and other sources. The MI ratios were used to transform incidence data to mortality estimates and cause of death estimates to incidence estimates. Cancer prevalence was estimated using MI ratios as surrogates for survival data; YLDs were calculated by multiplying prevalence estimates with disability weights, which were derived from population-based surveys; YLLs were computed by multiplying the number of estimated cancer deaths at each age with a reference life expectancy; and DALYs were calculated as the sum of YLDs and YLLs. Findings In 2013 there were 14.9 million incident cancer cases, 8.2 million deaths, and 196.3 million DALYs. Prostate cancer was the leading cause for cancer incidence (1.4 million) for men and breast cancer for women (1.8 million). Tracheal, bronchus, and lung (TBL) cancer was the leading cause for cancer death in men and women, with 1.6 million deaths. For men, TBL cancer was the leading cause of DALYs (24.9 million). For women, breast cancer was the leading cause of DALYs (13.1 million). Age-standardized incidence rates (ASIRs) per 100 000 and age-standardized death rates (ASDRs) per 100 000 for both sexes in 2013 were higher in developing vs developed countries for stomach cancer (ASIR, 17 vs 14; ASDR, 15 vs 11), liver cancer (ASIR, 15 vs 7; ASDR, 16 vs 7), esophageal cancer (ASIR, 9 vs 4; ASDR, 9 vs 4), cervical cancer (ASIR, 8 vs 5; ASDR, 4 vs 2), lip and oral cavity cancer (ASIR, 7 vs 6; ASDR, 2 vs 2), and nasopharyngeal cancer (ASIR, 1.5 vs 0.4; ASDR, 1.2 vs 0.3). Between 1990 and 2013, ASIRs for all cancers combined (except nonmelanoma skin cancer and Kaposi sarcoma) increased by more than 10% in 113 countries and decreased by more than 10% in 12 of 188 countries. Conclusions and Relevance Cancer poses a major threat to public health worldwide, and incidence rates have increased in most countries since 1990. The trend is a particular threat to developing nations with health systems that are ill-equipped to deal with complex and expensive cancer treatments. The annual update on the Global Burden of Cancer will provide all stakeholders with timely estimates to guide policy efforts in cancer prevention, screening, treatment, and palliation.

2,375 citations

Journal ArticleDOI
TL;DR: Patterns of the epidemiological transition with a composite indicator of sociodemographic status, which was constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population, were quantified.

1,609 citations

Journal ArticleDOI
TL;DR: The Korea National Health and Nutrition Examination Survey (KNHANES) is a national surveillance system that has been assessing the health and nutritional status of Koreans since 1998 and collects information on socioeconomic status, health-related behaviours, quality of life, healthcare utilization, anthropometric measures, biochemical and clinical profiles for non-communicable diseases and dietary intakes.
Abstract: The Korea National Health and Nutrition Examination Survey (KNHANES) is a national surveillance system that has been assessing the health and nutritional status of Koreans since 1998. Based on the National Health Promotion Act, the surveys have been conducted by the Korea Centers for Disease Control and Prevention (KCDC). This nationally representative cross-sectional survey includes approximately 10 000 individuals each year as a survey sample and collects information on socioeconomic status, health-related behaviours, quality of life, healthcare utilization, anthropometric measures, biochemical and clinical profiles for non-communicable diseases and dietary intakes with three component surveys: health interview, health examination and nutrition survey. The health interview and health examination are conducted by trained staff members, including physicians, medical technicians and health interviewers, at a mobile examination centre, and dieticians' visits to the homes of the study participants are followed up. KNHANES provides statistics for health-related policies in Korea, which also serve as the research infrastructure for studies on risk factors and diseases by supporting over 500 publications. KCDC has also supported researchers in Korea by providing annual workshops for data users. KCDC has published the Korea Health Statistics each year, and microdata are publicly available through the KNHANES website (http://knhanes.cdc.go.kr).

1,364 citations

Journal ArticleDOI
28 Mar 2014-Science
TL;DR: It is found that disadvantaged children randomly assigned to treatment have significantly lower prevalence of risk factors for cardiovascular and metabolic diseases in their mid-30s, and the evidence is especially strong for males.
Abstract: High-quality early childhood programs have been shown to have substantial benefits in reducing crime, raising earnings, and promoting education. Much less is known about their benefits for adult health. We report on the long-term health effects of one of the oldest and most heavily cited early childhood interventions with long-term follow-up evaluated by the method of randomization: the Carolina Abecedarian Project (ABC). Using recently collected biomedical data, we find that disadvantaged children randomly assigned to treatment have significantly lower prevalence of risk factors for cardiovascular and metabolic diseases in their mid-30s. The evidence is especially strong for males. The mean systolic blood pressure among the control males is 143 millimeters of mercury (mm Hg), whereas it is only 126 mm Hg among the treated. One in four males in the control group is affected by metabolic syndrome, whereas none in the treatment group are affected. To reach these conclusions, we address several statistical challenges. We use exact permutation tests to account for small sample sizes and conduct a parallel bootstrap confidence interval analysis to confirm the permutation analysis. We adjust inference to account for the multiple hypotheses tested and for nonrandom attrition. Our evidence shows the potential of early life interventions for preventing disease and promoting health.

885 citations


Cites background from "Inequalities in non-communicable di..."

  • ...which are usually targeted to reduce Non-Communicable Diseases (105), were not significantly...

    [...]

References
More filters
Journal ArticleDOI
Rafael Lozano1, Mohsen Naghavi1, Kyle J Foreman2, Stephen S Lim1  +192 moreInstitutions (95)
TL;DR: The Global Burden of Diseases, Injuries, and Risk Factors Study 2010 aimed to estimate annual deaths for the world and 21 regions between 1980 and 2010 for 235 causes, with uncertainty intervals (UIs), separately by age and sex, using the Cause of Death Ensemble model.

11,809 citations

Journal ArticleDOI
TL;DR: The Commission on Social Determinants of Health (CSDH) as mentioned in this paper was created to marshal the evidence on what can be done to promote health equity and to foster a global movement to achieve it.

7,335 citations

Book
02 Nov 2002
TL;DR: In this article, a panel of experts documents this evidence and explores how persons of color experience the health care environment, examining how disparities in treatment may arise in health care systems and looking at aspects of the clinical encounter that may contribute to such disparities.
Abstract: Racial and ethnic disparities in health care are known to reflect access to care and other issues that arise from differing socioeconomic conditions. There is, however, increasing evidence that even after such differences are accounted for, race and ethnicity remain significant predictors of the quality of health care received. In Unequal Treatment, a panel of experts documents this evidence and explores how persons of color experience the health care environment. The book examines how disparities in treatment may arise in health care systems and looks at aspects of the clinical encounter that may contribute to such disparities. Patients’ and providers’ attitudes, expectations, and behavior are analyzed. How to intervene? Unequal Treatment offers recommendations for improvements in medical care financing, allocation of care, availability of language translation, community-based care, and other arenas. The committee highlights the potential of cross-cultural education to improve provider–patient communication and offers a detailed look at how to integrate cross-cultural learning within the health professions. The book concludes with recommendations for data collection and research initiatives. Unequal Treatment will be vitally important to health care policymakers, administrators, providers, educators, and students as well as advocates for people of color.

6,185 citations

Journal ArticleDOI
TL;DR: In this paper, the authors estimated trends and their uncertainties of mean BMI for adults 20 years and older in 199 countries and territories, and used a Bayesian hierarchical model to estimate mean BMI by age, country, and year.

3,664 citations

Related Papers (5)
Frequently Asked Questions (16)
Q1. What are the contributions in "Inequalities in non-communicable diseases and effective responses" ?

Within-country NCD inequalities in equalities have not received explicit attention in global NCD discussions this paper, and their interventions are large and reduction of these inequal ities will help to achieve the 

Social policies and programmes that improve opportunities and capabilities for economic productivity and social participation, and facilitate healthy lifestyles and environments, are essential to improve health and reduce inequalities. 

The most important are those that enhance early childhood development, improve access to highquality education, create home and school envir onments that facilitate good educational outcomes, and remove barriers to secure employment for disadvantaged groups. 

global and within-country inequalities in blood pressure mean that actions are needed to reduce salt intake in disadvantaged groups to help to reduce NCD inequalities. 

In high-income and even middle-income countries, data can be linked across multiple sources that incorporate information about socioeconomic status and place of residence, but implementation of safeguards is necessary to ensure confi dentiality and to overcome political and especially bureaucratic barriers. 

The Commission on Social Determinants of Health’s (CSDoH) recommendation of health equity in all policies, systems, and programmes aims to reduce NCD inequalities by equalising distributions of power, fi nan cial resources, education, housing, and other environ mental factors, nutrition, and health care. 

Social inequalities in risk factors account for more than half of inequalities in major NCDs, especially for cardiovascular diseases and lung cancer. 

A substantial amount of the world wide NCD burden is attributable to behavioural, dietary, environmental, and metabolic risk factors3–5—a fact that has attracted worldwide attention to NCDs as a major global health issue and has shown the need for improved prevention and treatment. 

careful assess ment of health inequalities in high-income countries indicates that welfare states, and their social policies, do not necessarily reduce health inequalities,98 partly because existing policies only partially redistribute income and wealth. 

The authors should measure the success and failure of their societies and governments by how quickly, how widely, and how well the authors take these actions, and how much they reduce health inequalities. 

As the debate about why inequalities arise and whether they are unjust continues, the authors should constantly recall that the existence, and persistence, of inequalities suggests failure to develop, enact, or implement policies and programmes that create healthy household and community environments, facilitate healthy lifestyles and diets, and deliver universal high-quality health care. 

Despite industry eff orts to portray taxes on harmful and unhealthy products as regressive, evidence suggests that groups with low socioeconomic status are responsive to price changes, leading to both health benefi ts and to a reduction in the relative tax burden. 

in South Korea, the mortality diff erential was very small at older ages, with a weak inverse relation for cardiovascular disease mortality. 

the data also show the importance of social, cultural, epidemiological, and health-care factors as determinants of health inequalities. 

Vol 381 February 16, 2013 589NCD inequalities are the most important source of inequalities in total mortality and life expectancy. 

On the premise that both progressive social policies and NCD prevention and treatment programmes are necessary to address NCD health inequalities, other key actions to reduce NCDs and NCD inequalities are described in the following paragraphs.