The impact of environmental pollution on the physical health of middle-aged and older adults in China

Exposure profiles, determinants, and health risks of chemicals in personal care products among healthy older adults from the China BAPE study

Personal care products (PCPs) are ubiquitously present in the environment, and the associated health risks have been increasingly concerned worldwide. However, knowledge regarding exposure assessments of older adults to these chemicals and their health risks remains largely limited. In the present study, five repeated surveys involving 76 healthy older adults in Jinan, Shandong Province, were performed to quantify urinary exposure levels of 14 chemicals in PCPs. Moreover, influencing factors and health risks associated with exposure to these chemicals were thoroughly analyzed. Our findings revealed that methyl paraben (MeP) was the predominant chemical in PCP in the urine of the elderly, with a median concentration of 16.17 μg/L. Dietary intake, particularly fish and milk products, along with exposure to ambient PM2.5, were identified as the primary sources of certain chemicals in PCPs. Additionally, an increased physical activity was associated with decreased concentrations of benzophenone-2 (BP-2) within the body. Risk assessment demonstrated that chemicals in PCPs currently posed minimal health risks to the elderly. Our findings provide substantial references for mitigating the health risks of these chemical exposures in healthy older adults, ultimately safeguarding their overall and physical well-being.

Associations of phenols, parabens, and phthalates with biological aging: stratified analyses by chronological age and lifestyle in NHANES 2005-2010

Humans are widely exposed to phenols, parabens, and phthalates with health risks, while the effects of these chemicals on biological aging remain unclear. Among 3,441 adults in the National Health and Nutrition Examination Survey 2005-2010, phenol, paraben, and phthalate concentrations were measured and phenotypic age acceleration (PhenoAgeAccel) was calculated. Linear regression and weighted quantile sum (WQS) regression were used to evaluate the associations of single and mixed chemicals with PhenoAgeAccel. Stratified analyses by chronological age and lifestyle were also performed. Individual phthalates were positively associated with PhenoAgeAccel. The WQS model found the positive relationship between mixed chemicals with PhenoAgeAccel (β = 0.175, 95%CI: 0.001, 0.349). The adverse impacts of phenols and phthalates on biological aging were stronger in older participants with significant interactions. Adherence to healthier lifestyle might partly reduce the positive relationships of phenols and phthalates with biological aging, especially among older adults, which is expected to be a viable intervention in the future.

Geographical characteristics and influencing factors of the health level of older adults in the Yangtze River Economic Belt, China, from 2010 to 2020

The health of older adults is crucial for the overall health of the entire life cycle. Based on population sampling survey data and census data from 131 prefecture level units in the Yangtze River Economic Belt (YREB) during 2010-2020, this study used exploratory spatial data analysis, geographical detector, stepwise regression analysis, and GTWR model to analyze the spatiotemporal pattern and influencing factors of the health level of older adults in the YREB. The results show that the health level of older adults in the YREB slightly increased from 2010 to 2020, with the most significant improvement in the upstream region and the most significant decline in the midstream region. The older adults' health level in the YREB displays a gradient decreasing pattern of the downstream, midstream, and upstream regions. The health level of older adults in the YREB is influenced by a combination of natural and social environment factors. Areas with lower altitude and moderate humidity climates are more conducive to the health of older adults. The increase in influencing factors such as population migration rate, per capita GDP, average years of education, per capita housing construction area, per capita park green area, and green coverage rate in built-up areas is conducive to improving the health level of older adults, while lower number of health institutions per 1,000 people and higher household support rate are not conducive to improving the health level of older adults. In addition, over time, the health-promoting effect of natural environmental factors is enhanced from 2010 to 2020, and the influence of annual precipitation on shaping the spatial pattern of older adults' health level became more obvious. Although the promoting effect of population migration on the health level of older adults tends to weaken, it remains the primary factor affecting the spatiotemporal differentiation of older adults' health level in the YREB. The impact of social development on the health level of older adults has changed from a positive health effect (improvement) to a negative health effect (loss). The health-promoting effect of living environment factors is enhanced. The health-inhibitory effect of household support rate increased, and showed a gradient decreasing pattern from downstream to midstream to upstream. The findings of this study can provide a more in-depth understanding of the spatiotemporal pattern of the health level of older adults in the YREB and the factors influencing it, improve the health level of older adults in the region, and promote the development of healthy and active aging in the YREB, and improve the human health. At the same time, this study also supplements the related research on aging and the health level of the elderly. Firstly, it can provide reference for the research on the health of old adults in other countries and regions around the world. Secondly, it can also provide a basis for research on aging and the health of old adults in cities and counties under YREB.

Can the implementation of the smart city pilot policy improve the social adaptive health and mental health of middle-aged and elderly people? Evidence from China

With the accelerating pace of population aging in China and the implementation of the smart city pilot policy, whether the middle-aged and elderly population can integrate and adapt to this "smart" society has become an urgent problem that needs to be solved. In this context, exploring the impact of smart city pilot policies on the social adaptation health and mental health of middle-aged and elderly people has become a top priority for China to implement a national strategy to actively respond to population aging. Thus, based on panel data from the China Health and Retirement Longitudinal Study (CHARLS) for the years 2011, 2013, and 2015, this study employs the difference-in-differences (DID) method to investigate whether the smart city pilot policy can improve the social adaptive health and mental health of middle-aged and elderly people and to explore in depth the mechanism of its influence. The study finds that compared with non-pilot cities, the social adaptive health and mental health of middle-aged and elderly people in smart cities improve by 0.6% and 2.2%, respectively. The mechanism effect study shows that the smart city pilot policy can improve the mental health of the middle-aged and the elderly through the use of Information and Communication Technology (ICT) and the enhancement of human capital. Furthermore, for the social adaptive health of middle-aged and elderly individuals, the smart city pilot policy can only make improvements through the enhancement of human capital. Heterogeneity analysis shows that the effect of smart city pilot policies on social adaptive health is more pronounced in the middle-aged group than in the elderly group.

The challenge of population aging for mitigating deaths from PM2.5 air pollution in China

Estimating the health burden of air pollution against the background of population aging is of great significance for achieving the Sustainable Development Goal 3.9 which aims to substantially reduce the deaths and illnesses from air pollution. Here, we estimated spatiotemporal changes in deaths attributable to PM2.5 air pollution in China from 2000 to 2035 and examined the drivers. The results show that from 2019 to 2035, deaths were projected to decease 15.4% (6.6%-20.7%, 95% CI) and 8.4% (0.6%-13.5%) under the SSP1-2.6 and SSP5-8.5 scenario, respectively, but increase 10.4% (5.1%-20.5%) and 18.1% (13.0%-28.3%) under SSP2-4.5 and SSP3-7.0 scenarios. Population aging will be the leading contributor to increased deaths attributable to PM2.5 air pollution, which will counter the positive gains achieved by improvements in air pollution and healthcare. Region-specific measures are required to mitigate the health burden of air pollution and this requires long-term efforts and mutual cooperation among regions in China.

Climate Change and Aging Health in Developing Countries

The climate of the Earth has changed throughout history. Climate change negatively impacts human rights in a wide range of ways. The study aims to find out the impact of climate change on aging health in developing countries. The study found that public health will be devastated if climate change continues unabated. Countries that are least responsible for global warming are most susceptible to the effects of higher temperatures, such as death and disease. In low- and middle-income countries, disasters are more likely to happen to people aged 60 and over. Although climate change affects all of us, older people are especially at risk from it, as evidenced by a growing body of research. The study also offers countermeasures and suggestions to develop aging health in developing countries affected by climate change.

Interaction between N6-methyladenosine (m6A) modification and environmental chemical-induced diseases in various organ systems

A wide variety of chemicals are ubiquitous in the environment and thus exposure to these environmental chemicals poses a serious threat to public health. Particularly, environmental factors such as air pollution, heavy metals, and endocrine-disrupting chemicals (EDCs) can lead to diseases in various organ systems. Recent research in environmental epigenetics has demonstrated that N6-methyladenosine (m6A) modification is a key mechanism of environment-related diseases. m6A modification is the most abundant chemical modification in mRNAs, which can specifically regulate gene expression by affecting RNA translation, stability, processing, and nuclear export. In this review, we discussed how environmental chemicals affected m6A modification and mediated environment-related disease occurrence by classifying the diseases of various systems. Here, we conclude that environmental chemicals alter the levels of m6A and its modulators, which then participate in the occurrence of diseases in various systems by regulating gene expression and downstream signaling pathways such as METTL3/m6A ZBTB4/YTHDF2/EZH2, Foxo3a/FTO/m6A ephrin-B2/YTHDF2, and HIF1A/METTL3/m6A BIRC5/IGF2BP3/VEGFA. Considering the significant role of m6A and its modulators in response to environmental chemicals, they are expected to be used as biomarkers of environment-related diseases. Additionally, targeting m6A modulators using small molecule inhibitors and activators is expected to be a new method for the treatment of environment-related diseases. This review systematically and comprehensively clarifies the important role of m6A in diseases caused by environmental chemicals, thus establishing a scientific basis for the treatment of diseases in various organ systems.

Is air pollution politics or economics? Evidence from industrial heterogeneity

This paper checks the asymmetrical impact of Beijing's and Shanghai's air quality (AQ) on cross-industries stock returns (SR) by using the quantile-on-quantile (QQ) regression method. The major empirical findings as shown as followings. There are heterogeneous responses from SR to AQ within the same city. Different links are discovered for Beijing and Shanghai within the same industry. Air pollution does not have political or economic properties for all industries. Our research provides useful contributions compared with past literature. First of all, we distinguish whether air pollution is political or economic. Apart from psychology and physiology, government intervention and economic expectation are also important components in interpreting the influence from AQ to SR. Second, this study adequately considers the heterogeneity of industries. Industries differently react to the identical extrinsic shock, depending on the nature of their industry. Besides, the QQ approach captures quantile-varying relationship between variables, and does not need to consider structural fracture and time lag effects. The practical significance is that investors need to focus on national industrial policies, and avoiding biased decisions in stock market from air pollution.

Genetically engineered microorganisms for environmental remediation

In the recent era, the increasing persistence of hazardous contaminants is badly affecting the globe in many ways. Due to high environmental contamination, almost every second species on earth facing the worst issue in their survival. Advances in newer remediation approaches may help enhance bioremediation's quality, while conventional procedures have failed to remove hazardous compounds from the environment. Chemical and physical waste cleanup approaches have been used in current circumstances; however, these methods are costly and harmful to the environment. Thus, there has been a rise in the use of bioremediation due to an increase in environmental contamination, which led to the development of genetically engineered microbes (GEMs). It is safer and more cost-effective to use engineered microorganisms rather than alternative methods. GEMs are created by introducing a stronger protein into bacteria through biotechnology or genetic engineering to enhance the desired trait. Biodegradation of oil spills, halobenzoates naphthalenes, toluenes, trichloroethylene, octanes, xylenes etc. has been accomplished using GEMs such bacteria, fungus, and algae. Biotechnologically induced microorganisms are more powerful than naturally occurring ones and may degrade contaminants faster because they can quickly adapt to new pollutants they encounter or co-metabolize. Genetic engineering is a worthy process that will benefit the environment and ultimately the health of our people.