34
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Current situation and progress toward the 2030 health-related Sustainable Development Goals in China: A systematic analysis

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The Sustainable Development Goals (SDGs), adopted by all United Nations (UN) member states in 2015, established a set of bold and ambitious health-related targets to achieve by 2030. Understanding China’s progress toward these targets is critical to improving population health for its 1.4 billion people.

          Methods and findings

          We used estimates from the Global Burden of Disease (GBD) Study 2016, national surveys and surveillance data from China, and qualitative data. Twenty-eight of the 37 indicators included in the GBD Study 2016 were analyzed. We developed an attainment index of health-related SDGs, a scale of 0–100 based on the values of indicators. The projection model is adjusted based on the one developed by the GBD Study 2016 SDG collaborators.

          We found that China has achieved several health-related SDG targets, including decreasing neonatal and under-5 mortality rates and the maternal mortality ratios and reducing wasting and stunting for children. However, China may only achieve 12 out of the 28 health-related SDG targets by 2030. The number of target indicators achieved varies among provinces and municipalities. In 2016, among the seven measured health domains, China performed best in child nutrition and maternal and child health and reproductive health, with the attainment index scores of 93.0 and 91.8, respectively, followed by noncommunicable diseases (NCDs) (69.4), road injuries (63.6), infectious diseases (63.0), environmental health (62.9), and universal health coverage (UHC) (54.4). There are daunting challenges to achieve the targets for child overweight, infectious diseases, NCD risk factors, and environmental exposure factors. China will also have a formidable challenge in achieving UHC, particularly in ensuring access to essential healthcare for all and providing adequate financial protection. The attainment index of child nutrition is projected to drop to 80.5 by 2025 because of worsening child overweight. The index of NCD risk factors is projected to drop to 38.8 by 2025. Regional disparities are substantial, with eastern provinces generally performing better than central and western provinces. Sex disparities are clear, with men at higher risk of excess mortality than women. The primary limitations of this study are the limited data availability and quality for several indicators and the adoption of "business-as-usual" projection methods.

          Conclusion

          The study found that China has made good progress in improving population health, but challenges lie ahead. China has substantially improved the health of children and women and will continue to make good progress, although geographic disparities remain a great challenge. Meanwhile, China faced challenges in NCDs, mental health, and some infectious diseases. Poor control of health risk factors and worsening environmental threats have posed difficulties in further health improvement. Meanwhile, an inefficient health system is a barrier to tackling these challenges among such a rapidly aging population. The eastern provinces are predicted to perform better than the central and western provinces, and women are predicted to be more likely than men to achieve these targets by 2030. In order to make good progress, China must take a series of concerted actions, including more investments in public goods and services for health and redressing the intracountry inequities.

          Abstract

          Shenglan Tang and colleagues report China's current situation and projected achievement of the health related sustainable development goals by 2030.

          Author summary

          Why was the study done?
          • China has made impressive progress in the Millennium Development Goals (MDGs) era, which ended in 2015.

          • Despite China’s success in achieving the MDGs, it faces formidable challenges in achieving many targets in the health-related Sustainable Development Goals (SDGs), which have a 2030 target date.

          • Understanding China’s current situation and progress toward achieving these goals is critical to the development of practical solutions for improving population health for its 1.4 billion people in the SDG era.

          What did the researchers do and find?
          • We conducted an analysis of progress toward the health-related SDGs using data from the Global Burden of Disease (GBD) Study 2016, national surveys, surveillance data from China, and qualitative study results.

          • We developed an index of the attainment of the health-related SDGs, using a scale of 0–100 based on the absolute values of indicators.

          • We adjusted the projection model developed by the GBD 2016 SDG collaborators to produce sex-specific estimates, stratified by province, and explore sex and regional disparities. Around 120 key informants were purposively approached for thematic interviews.

          • This research found that China has achieved several health-related SDG targets, especially on child nutrition and maternal and child health and reproductive health. Nevertheless, China may only achieve 12 out of the 28 selected health-related SDG targets by 2030.

          • There are daunting challenges ahead for China in achieving the targets for child overweight, infectious diseases, noncommunicable disease risk factors, environmental exposure factors, and universal health coverage.

          • Regional disparities were substantial, with eastern coastal provinces generally performing better than central and western provinces in most of the indicators. Sex disparities were clear, with men at higher risk of excess mortality than women.

          What do these findings mean?
          • To achieve the targets of the health-related SDGs, China must take a series of concerted actions, including increased investment in public goods and services for health, addressing the regional inequities, and tackling the emerging new health challenges to ensure that no one is left behind.

          • In those areas where China has already achieved the SDG targets, the government should synthesize the experiences and good practices that can be applied to the regions/provinces that need to catch up to the level of health development witnessed in developed regions/provinces.

          • The Chinese government needs to examine the root causes of the challenges in achieving the health-related SDGs and develop an action plan to address these causes. The plan should prioritize key policy interventions for target populations and mobilize adequate resources to tackle these health challenges.

          • It is important to address common problems by tackling cross-cutting issues in advancing the health-related SDGs, such as strengthening the enforcement of laws and regulations, establishing effective organizational structures, and human resources development.

          Related collections

          Most cited references32

          • Record: found
          • Abstract: found
          • Article: not found

          Constructions of masculinity and their influence on men's well-being: a theory of gender and health.

          Men in the United States suffer more severe chronic conditions, have higher death rates for all 15 leading causes of death, and die nearly 7 yr younger than women. Health-related beliefs and behaviours are important contributors to these differences. Men in the United States are more likely than women to adopt beliefs and behaviours that increase their risks, and are less likely to engage in behaviours that are linked with health and longevity. In an attempt to explain these differences, this paper proposes a relational theory of men's health from a social constructionist and feminist perspective. It suggests that health-related beliefs and behaviours, like other social practices that women and men engage in, are a means for demonstrating femininities and masculinities. In examining constructions of masculinity and health within a relational context, this theory proposes that health behaviours are used in daily interactions in the social structuring of gender and power. It further proposes that the social practices that undermine men's health are often signifiers of masculinity and instruments that men use in the negotiation of social power and status. This paper explores how factors such as ethnicity, economic status, educational level, sexual orientation and social context influence the kind of masculinity that men construct and contribute to differential health risks among men in the United States. It also examines how masculinity and health are constructed in relation to femininities and to institutional structures, such as the health care system. Finally, it explores how social and institutional structures help to sustain and reproduce men's health risks and the social construction of men as the stronger sex.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Policy: Map the interactions between Sustainable Development Goals.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016

              Summary Background Detailed assessments of mortality patterns, particularly age-specific mortality, represent a crucial input that enables health systems to target interventions to specific populations. Understanding how all-cause mortality has changed with respect to development status can identify exemplars for best practice. To accomplish this, the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) estimated age-specific and sex-specific all-cause mortality between 1970 and 2016 for 195 countries and territories and at the subnational level for the five countries with a population greater than 200 million in 2016. Methods We have evaluated how well civil registration systems captured deaths using a set of demographic methods called death distribution methods for adults and from consideration of survey and census data for children younger than 5 years. We generated an overall assessment of completeness of registration of deaths by dividing registered deaths in each location-year by our estimate of all-age deaths generated from our overall estimation process. For 163 locations, including subnational units in countries with a population greater than 200 million with complete vital registration (VR) systems, our estimates were largely driven by the observed data, with corrections for small fluctuations in numbers and estimation for recent years where there were lags in data reporting (lags were variable by location, generally between 1 year and 6 years). For other locations, we took advantage of different data sources available to measure under-5 mortality rates (U5MR) using complete birth histories, summary birth histories, and incomplete VR with adjustments; we measured adult mortality rate (the probability of death in individuals aged 15–60 years) using adjusted incomplete VR, sibling histories, and household death recall. We used the U5MR and adult mortality rate, together with crude death rate due to HIV in the GBD model life table system, to estimate age-specific and sex-specific death rates for each location-year. Using various international databases, we identified fatal discontinuities, which we defined as increases in the death rate of more than one death per million, resulting from conflict and terrorism, natural disasters, major transport or technological accidents, and a subset of epidemic infectious diseases; these were added to estimates in the relevant years. In 47 countries with an identified peak adult prevalence for HIV/AIDS of more than 0·5% and where VR systems were less than 65% complete, we informed our estimates of age-sex-specific mortality using the Estimation and Projection Package (EPP)-Spectrum model fitted to national HIV/AIDS prevalence surveys and antenatal clinic serosurveillance systems. We estimated stillbirths, early neonatal, late neonatal, and childhood mortality using both survey and VR data in spatiotemporal Gaussian process regression models. We estimated abridged life tables for all location-years using age-specific death rates. We grouped locations into development quintiles based on the Socio-demographic Index (SDI) and analysed mortality trends by quintile. Using spline regression, we estimated the expected mortality rate for each age-sex group as a function of SDI. We identified countries with higher life expectancy than expected by comparing observed life expectancy to anticipated life expectancy on the basis of development status alone. Findings Completeness in the registration of deaths increased from 28% in 1970 to a peak of 45% in 2013; completeness was lower after 2013 because of lags in reporting. Total deaths in children younger than 5 years decreased from 1970 to 2016, and slower decreases occurred at ages 5–24 years. By contrast, numbers of adult deaths increased in each 5-year age bracket above the age of 25 years. The distribution of annualised rates of change in age-specific mortality rate differed over the period 2000 to 2016 compared with earlier decades: increasing annualised rates of change were less frequent, although rising annualised rates of change still occurred in some locations, particularly for adolescent and younger adult age groups. Rates of stillbirths and under-5 mortality both decreased globally from 1970. Evidence for global convergence of death rates was mixed; although the absolute difference between age-standardised death rates narrowed between countries at the lowest and highest levels of SDI, the ratio of these death rates—a measure of relative inequality—increased slightly. There was a strong shift between 1970 and 2016 toward higher life expectancy, most noticeably at higher levels of SDI. Among countries with populations greater than 1 million in 2016, life expectancy at birth was highest for women in Japan, at 86·9 years (95% UI 86·7–87·2), and for men in Singapore, at 81·3 years (78·8–83·7) in 2016. Male life expectancy was generally lower than female life expectancy between 1970 and 2016, and the gap between male and female life expectancy increased with progression to higher levels of SDI. Some countries with exceptional health performance in 1990 in terms of the difference in observed to expected life expectancy at birth had slower progress on the same measure in 2016. Interpretation Globally, mortality rates have decreased across all age groups over the past five decades, with the largest improvements occurring among children younger than 5 years. However, at the national level, considerable heterogeneity remains in terms of both level and rate of changes in age-specific mortality; increases in mortality for certain age groups occurred in some locations. We found evidence that the absolute gap between countries in age-specific death rates has declined, although the relative gap for some age-sex groups increased. Countries that now lead in terms of having higher observed life expectancy than that expected on the basis of development alone, or locations that have either increased this advantage or rapidly decreased the deficit from expected levels, could provide insight into the means to accelerate progress in nations where progress has stalled. Funding Bill & Melinda Gates Foundation, and the National Institute on Aging and the National Institute of Mental Health of the National Institutes of Health.
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: Funding acquisitionRole: InvestigationRole: Project administrationRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: SupervisionRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: SupervisionRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: SupervisionRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: SupervisionRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: SupervisionRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: VisualizationRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: MethodologyRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Data curationRole: Writing – review & editing
                Role: Formal analysisRole: Writing – review & editing
                Role: Formal analysisRole: InvestigationRole: Writing – review & editing
                Role: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                19 November 2019
                November 2019
                : 16
                : 11
                : e1002975
                Affiliations
                [1 ] Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China
                [2 ] Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
                [3 ] Research Department of Social Development, Development Research Center, State Council of People's Republic China, Beijing, China
                [4 ] School of Public Health, Fudan University, Shanghai, China
                [5 ] Institute for Health Sciences, Kunming Medical University, Kunming, Yunnan, China
                [6 ] School of Public Health and Management, Chongqing Medical University, Chongqing, China
                [7 ] School of Health Sciences, Wuhan University, Wuhan, Hubei, China
                [8 ] School of Political Science and Public Administration, Wuhan University, Wuhan, Hubei, China
                [9 ] School of Public Health, Kunming Medical University, Kunming, Yunnan, China
                [10 ] National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
                [11 ] Faculty of Clinical Sciences and International Public Health, Liverpool School of Tropical Medicine, Liverpool, United Kingdom
                [12 ] Center of Health Human Resource Development, National Health Commission, Beijing, China
                [13 ] Institute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, United States of America
                [14 ] Environment Research Center, Duke Kunshan University, Kunshan, Jiangsu, China
                University College London, UNITED KINGDOM
                Author notes

                I have read the journal's policy and the authors of this manuscript have the following competing interests: CW provides paid consultant services to HealthKeeperS, a health data analytics company in China; GY is the founder and director of the Center for Policy Impact in Global Health, which received funding from the Bill & Melinda Gates Foundation during the period of this study.

                Author information
                http://orcid.org/0000-0002-7365-0405
                http://orcid.org/0000-0002-1612-4759
                http://orcid.org/0000-0003-1967-6505
                http://orcid.org/0000-0003-1444-6815
                http://orcid.org/0000-0003-0966-8552
                http://orcid.org/0000-0003-2239-6117
                http://orcid.org/0000-0002-5643-6255
                http://orcid.org/0000-0002-0963-5155
                http://orcid.org/0000-0001-6852-2962
                http://orcid.org/0000-0001-5118-9294
                http://orcid.org/0000-0002-3707-7699
                http://orcid.org/0000-0002-5002-118X
                http://orcid.org/0000-0002-8390-7382
                http://orcid.org/0000-0001-5727-078X
                Article
                PMEDICINE-D-19-01787
                10.1371/journal.pmed.1002975
                6863528
                31743352
                1d53395e-c5a8-4d39-a2c3-70bd431ca902
                © 2019 Chen et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 19 May 2019
                : 23 October 2019
                Page count
                Figures: 2, Tables: 3, Pages: 33
                Funding
                Funded by: The Bill and Melinda Gates Foundation
                Award ID: OPP1148464
                Award Recipient :
                This research is funded by the Bill and Melinda Gates Foundation (PT: ST, OPP1148464, www.gatesfoundation.org). The funder played no role in study design, data collection, and analysis, the decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Death Rates
                People and Places
                Geographical Locations
                Asia
                China
                Medicine and Health Sciences
                Public and Occupational Health
                Global Health
                Medicine and Health Sciences
                Pediatrics
                Child Health
                Medicine and Health Sciences
                Public and Occupational Health
                Child Health
                Medicine and Health Sciences
                Infectious Diseases
                Bacterial Diseases
                Tuberculosis
                Medicine and Health Sciences
                Tropical Diseases
                Tuberculosis
                Biology and Life Sciences
                Nutrition
                Medicine and Health Sciences
                Nutrition
                Medicine and Health Sciences
                Health Care
                Health Care Policy
                Medicine and Health Sciences
                Health Care
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Socioeconomic Aspects of Health
                Custom metadata
                The data used for this study are mostly publicly available. Following date sources are publicly available through publications: China Health and Family Planning Statistical Yearbook 2017 (Beijing: Peking Union Medical College Press, 2017), China livelihood survey 2016 (Beijing: China Development Press, 2016), China residents’ nutrition and chronic diseases report 2015 (Beijing: People’s Medical Publishing House, 2016), China Cause of Death Surveillance Dataset 2016 (Beijing: China Science and Technology Press, 2017), and Report on chronic disease risk factor surveillance in China (2013) (Beijing: Military Medical Science Press, 2016). Some data can be obtained through online publication: 2015 China AIDS Response Progress Report ( https://www.unaids.org/sites/default/files/country/documents/CHN_narrative_report_2015.pdf), an Analysis Report of National Health Services Survey in China, 2013 ( http://www.moh.gov.cn/mohwsbwstjxxzx/s8211/201308/cecaaee775f849cea0186cd23a4fbcba.shtml), and Report on the State of the Ecology and Environment in China 2017 ( http://english.mep.gov.cn/Resources/Reports/soe/SOEE2017/201808/P020180801597738742758.pdf). National estimates from the Global Burden of Disease Study 2016 are available upon request from http://ghdx.healthdata.org/gbd-2016. Subnational estimates are planned to be released in the coming years. For further information regarding GBD study, please contact GBD team at http://ghdx.healthdata.org/contact. The lead author (ST) affirms that this manuscript is an honest, accurate, and transparent account of the study being reported; no important aspects of the study have been omitted.

                Medicine
                Medicine

                Comments

                Comment on this article