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      Elderly Health Inequality in China and its Determinants: A Geographical Perspective

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          Abstract

          Inter-regional health differences and apparent inequalities in China have recently received significant attention. By collecting health status data and individual socio-economic information from the 2015 fourth sampling survey of the elderly population in China (4th SSEP), this paper uses the geographical differentiation index to reveal the spatial differentiation of health inequality among Chinese provinces. We test the determinants of inequalities by multilevel regression models at the provincial and individual levels, and find three main conclusions: 1) There were significant health differences on an inter-provincial level. For example, provinces with a very good or good health rating formed a good health hot-spot region in the Yangtze River Delta, versus elderly people living in Gansu and Hainan provinces, who had a poor health status. 2) Nearly 2.4% of the health differences in the elderly population were caused by inter-provincial inequalities; access (or lack of access) to economic, medical and educational resources was the main reason for health inequalities. 3) At the individual level, inequalities in annual income served to deepen elderly health differences, and elderly living in less developed areas were more vulnerable to urban vs. rural-related health inequalities.

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          A systematic review of evidence for the added benefits to health of exposure to natural environments

          Background There is increasing interest in the potential role of the natural environment in human health and well-being. However, the evidence-base for specific and direct health or well-being benefits of activity within natural compared to more synthetic environments has not been systematically assessed. Methods We conducted a systematic review to collate and synthesise the findings of studies that compare measurements of health or well-being in natural and synthetic environments. Effect sizes of the differences between environments were calculated and meta-analysis used to synthesise data from studies measuring similar outcomes. Results Twenty-five studies met the review inclusion criteria. Most of these studies were crossover or controlled trials that investigated the effects of short-term exposure to each environment during a walk or run. This included 'natural' environments, such as public parks and green university campuses, and synthetic environments, such as indoor and outdoor built environments. The most common outcome measures were scores of different self-reported emotions. Based on these data, a meta-analysis provided some evidence of a positive benefit of a walk or run in a natural environment in comparison to a synthetic environment. There was also some support for greater attention after exposure to a natural environment but not after adjusting effect sizes for pretest differences. Meta-analysis of data on blood pressure and cortisol concentrations found less evidence of a consistent difference between environments across studies. Conclusions Overall, the studies are suggestive that natural environments may have direct and positive impacts on well-being, but support the need for investment in further research on this question to understand the general significance for public health.
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            Environmental Inequality in Exposures to Airborne Particulate Matter Components in the United States

            Background: Growing evidence indicates that toxicity of fine particulate matter ≤ 2.5 μm in diameter (PM2.5) differs by chemical component. Exposure to components may differ by population. Objectives: We investigated whether exposures to PM2.5 components differ by race/ethnicity, age, and socioeconomic status (SES). Methods: Long-term exposures (2000 through 2006) were estimated for 215 U.S. census tracts for PM2.5 and for 14 PM2.5 components. Population-weighted exposures were combined to generate overall estimated exposures by race/ethnicity, education, poverty status, employment, age, and earnings. We compared population characteristics for tracts with and without PM2.5 component monitors. Results: Larger disparities in estimated exposures were observed for components than for PM2.5 total mass. For race/ethnicity, whites generally had the lowest exposures. Non-Hispanic blacks had higher exposures than did whites for 13 of the 14 components. Hispanics generally had the highest exposures (e.g., 152% higher than whites for chlorine, 94% higher for aluminum). Young persons (0–19 years of age) had levels as high as or higher than other ages for all exposures except sulfate. Persons with lower SES had higher estimated exposures, with some exceptions. For example, a 10% increase in the proportion unemployed was associated with a 20.0% increase in vanadium and an 18.3% increase in elemental carbon. Census tracts with monitors had more non-Hispanic blacks, lower education and earnings, and higher unemployment and poverty than did tracts without monitors. Conclusions: Exposures to PM2.5 components differed by race/ethnicity, age, and SES. If some components are more toxic than others, certain populations are likely to suffer higher health burdens. Demographics differed between populations covered and not covered by monitors.
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              Serum vitamin D concentrations among elderly people in Europe.

              Vitamin D status decreases with age, mainly as a result of restricted sunlight exposure, reduced capacity of the skin to produce vitamin D, and reduced dietary vitamin D intake. We measured wintertime serum 25-hydroxyvitamin D [25(OH)D] concentrations in 824 elderly people from 11 European countries. 36% of men and 47% of women had 25(OH)D concentrations below 30 nmol/L. Users of vitamin D supplements and/or sunlamps had higher 25(OH)D (median 54 nmol/L) than non users (median 31 nmol/L). Surprisingly, lowest mean 25(OH)D concentrations were seen in southern European countries. Low 25(OH)D concentrations could largely be explained by attitudes towards sunlight exposure and factors of physical health status, after exclusion of users of vitamin D supplements or sunlamps. Problems with daily living activities and wearing clothes with long sleeves during periods of sunshine were strong predictors of low wintertime serum 25(OH)D concentrations. These findings show that free-living elderly Europeans, regardless of geographical location, are at substantial risk of inadequate vitamin D status during winter and that dietary enrichment or supplementation with vitamin D should be seriously considered during this season.
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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                16 August 2019
                August 2019
                : 16
                : 16
                : 2953
                Affiliations
                [1 ]School of Architecture, Tsinghua University, Beijing 100084, China
                [2 ]College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China
                [3 ]School of Public Administration, Renmin University of China, Beijing 100872, China
                [4 ]Department of City and Regional Planning, University of North Carolina at Chapel Hill, NC 27599-3140, USA
                [5 ]China Research Center on Aging, Beijing 100054, China
                Author notes
                [* ]Correspondence: litian262@ 123456126.com
                Author information
                https://orcid.org/0000-0003-1632-140X
                Article
                ijerph-16-02953
                10.3390/ijerph16162953
                6719074
                31426371
                9c7e5862-0b54-41cf-87c8-1042a339fb9f
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 07 June 2019
                : 31 July 2019
                Categories
                Article

                Public health
                elderly health,health inequality,geographical differentiation,multilevel regression

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