Research article
Ambient air pollution and the health-related quality of life of older adults: Evidence from Shandong China

https://doi.org/10.1016/j.jenvman.2023.117619Get rights and content

Highlights

  • Ambient air pollution was associated with lower HRQoL among older adults in China.

  • Long term air pollution was associated with increased prevalence of pain and anxiety.

  • The reduced HRQoL effects was exacerbated by higher socioeconomic status.

Abstract

Ambient air pollution is a major public health concern impacting all aspects of human health. There is a lack of studies on the impact of ambient air pollution on health-related quality of life (HRQoL) of older Chinese adults. Our study answers two questions: How concentrations of ambient air pollutants are associated with HRQoL among older adults in China and, second, what are the possible mechanisms through which ambient air pollution affects HRQoL. From the 2018 National Health Service Survey, we sampled 5717 aged 65 years or older residents for the eastern province of Shandong, China. Data on individual exposures to PM2.5 and PM10 (particulate matter with diameter less than or equal to 2.5 μm and 10 μm) and sulfur dioxide (SO2) were collected from the ChinaHighAirPollutants (CHAP) datasets. Mixed-effects Tobit regression models and mixed-effects ordered Probit regression models were employed to examine the associations of long-term exposure to ambient air pollution with the European Quality of Life 5 Dimensions 3 Level Version (EQ-5D-3L) scale comprising mobility, self-care, usual activities, pain/discomfort, and anxiety/depression. Socioeconomic, demographic and behavioral factors relating to HRQoL were also examined. The results show that for each 1 μg/m3 increase, EQ-5D-3L scores fell 0.002 for PM2.5; 0.001 for PM10 and 0.002 for SO2. Long term exposure to PM2.5, PM10 and SO2 were also associated with increased prevalence of pain/discomfort and anxiety/depression. The reduced HRQoL effects of ambient air pollution were exacerbated by higher socioeconomic status (affluent, urban and higher level of education). Our findings suggested that HRQoL of older Chinese adults was not only associated with demographic, socioeconomic, and health-related factors, but also negatively correlated with air pollution, especially through increased pain/discomfort and anxiety/depression. The paper proposes policy recommendations.

Introduction

Accounting for over four million worldwide premature deaths annually, ambient air pollution is a major public health challenge (Collaborators, 2020; Shaddick et al., 2020; WHO, 2018). Numerous epidemiological studies observed a consistent association between long-term exposure to ambient air pollution and a range of chronic health effects, including respiratory diseases (Guarnieri and Balmes, 2014; Kurt et al., 2016), pulmonary diseases (Jiang et al., 2016), cardiovascular diseases (Brook et al., 2010; Hamanaka and Mutlu, 2018; Newby et al., 2015), mental disorders (Calderon-Garciduenas et al., 2002; Genc et al., 2012) and premature mortality (WHO, 2021). Older-aged people were found to be affected disproportionately to younger people by ambient air pollution (Simoni et al., 2015; Tibuakuu et al., 2018; Yin et al., 2020, 2021). While evidence of adverse health effects from long-term exposure to ambient air pollution among older adults is rapidly accumulating, most research focuses primarily on objective measures of health, such as mortality and morbidity (Hwang et al., 2020; Yamazaki et al., 2005). Such objective measures mainly assess the physical dimensions of health, failing to provide a complete picture of the burden of air pollution on older adults, including mental and social well-being, and not merely the absence of disease or infirmity (Dominick et al., 2002; WHO, 1946). Alternative indicators of the adverse health effects of air pollution on older adults, such as health-related quality of life (HRQoL), are necessary to assess the long-term health exposures to ambient air pollution. We address this research gap for China.

HRQoL is widely accepted as a valid and comprehensive measure of health status (Brown et al., 2013). HRQoL refers to a person's perception of his or her physical, mental, emotional and social functioning and wellbeing over time (Romero et al., 2013). It is usually assessed through a set of indicators across HRQoL's multiple domains. Since the early 1970s, various HRQoL metrics have been developed, including the Rand 36-Item Short Form Survey (SF-36) and the European Quality of Life 5 Dimension scale (EQ-5D), depending on the setting, such as clinical trials, healthcare system evaluation, health planning, and health insurance reimbursement decision-making (McHorney, 1999). In the field of environmental health, HRQoL has also been confirmed as an important measure of adverse health effects of air pollution (American Thoracic Society, 2000), linking the impact of ambient air pollution on individuals' multiple health domains (American Thoracic Society, 2000; Yamazaki et al., 2005). As HRQoL measures are generally independent of disease status, they enable us to measure health effects of air pollution across different populations. In addition, the use of preference-based measures of HRQoL facilitate the cost-benefits evaluation of alternative environmental policies targeting different air pollutants (American Thoracic Society, 2000; McHorney, 1999; Romero et al., 2013; Yamazaki et al., 2005).

Although the association between ambient air pollution and HRQoL is important for public health decision-making, surprisingly few researchers have quantified this relationship, especially for older populations. Using 3395 observations based on the SF-36 questionnaire, a Japanese ecological study found that higher concentrations of nitrogen oxides (NOx) were correlated with lower scores in the “vitality” domain of SF-36 (Yamazaki et al., 2005). A small field study from Korea concluded that short-term exposure to fine particles (PM2.5 and PM10), nitrogen dioxide (NO2), and ozone (O3) causes respiratory symptoms leading to HRQoL deterioration (Hwang et al., 2020). A recent study, also from Korea, suggested an increase in the concentrations of PM10, NO2, carbon monoxide (CO), and sulfur dioxide (SO2) were significantly associated with reduced overall HRQoL scores (Nakao et al., 2018). Regarding asthma-rhinitis, a large cross-sectional study in Europe found exposure to air pollution and lower greenness was associated with lower HRQoL scores in the domain of mental wellbeing irrespective of the asthma-rhinitis status (Siroux et al., 2021). Generally, existing studies have found evidence of adverse effects of air pollution on HRQoL. However, all studies were carried out in developed countries and most of them assessed only short-term effects. No study has explored the association between the long-term exposure to ambient air pollution and HRQoL in China.

We address this gap in the literature by using the three-level three-level EQ-5D (EQ-5D-3L) to measure HRQoL for older-age Chinese, examining the relationship between long-term exposures to ambient air pollutants and HRQoL. Our findings provide new empirical evidence for policy makers to guide their public health and environmental strategies to improve the quality of life for older populations. Specifically, we ask: were concentrations of ambient air pollutants associated with HRQoL among older adults in China? And, second, what were the possible mechanisms through which ambient air pollution affected HRQoL?

Section snippets

Study area and study population

HRQoL data were retrieved from the Sixth Health Service Survey (SHSS) in Shandong province, China. An eastern coastal province with a population over 100 million, Shandong is a highly industrialized province, ranked third in GDP among all provinces and autonomous regions in China. Like other provinces across China, the population of Shandong is rapidly aging, with the number of people aged over 60 years 15.07 million in 2018, accounting for over 15% of total population (Shandong Provincial

Descriptive statistics

Table 1 presents the general characteristics of respondents for the whole sample and by sex. The average age of the study population was 71.85, with 72.28% in the age group of 65–74, 23.28% in the age group 76–84 and 4.44% in the age group of 85 years or older. There was no significant difference in the average age between males and females (p = 0.318). Most (85.88%) men were married, but significantly fewer women (74.57%) (p < 0.001). More than half of the respondents (51.72%) live in rural

Discussion

Although ambient air pollutants adversely affect objective health outcomes, our study investigated the association between ambient air pollutants and subjective health outcomes for older Chinese adults, aged ≥65 years. We found that increasing concentrations of PM2.5, PM10, and SO2 were significantly correlated with lower EQ-5D-3L scores after controlling for demographic, socioeconomic and health-related confounding factors. Our results are consistent with previous Korean and Japanese studies

Conclusions

We used mixed-effects Tobit and ordered Probit regressions to investigate the association between ambient air pollutants and the HRQoL for older adults in China. Our findings suggested that older adults’ quality of life was not only associated with sociodemographic, socioeconomic, and health-related factors, but also negatively correlated with air pollution through pain/discomfort and anxiety/depression. Targeted and effective health intervention policies should be designed to reduce such

Credit author statement

Jialong Tan: Project administration, Conceptualization, Methodology, Writing- Original draft, Writing – review & editing. Jing Bai: Software, Writing- Original draft. Nuo Chen: Data curation, Writing- Original draft. Peizhe Yan: Writing- Original draft. Xinyu Ma: Visualization, Software. Meiling Ren: Writing- Original draft. Elizabeth Maitland: Writing- Reviewing and Editing. Stephen Nicholas: Writing- Reviewing and Editing. Wenjing Cheng: Writing- Original draft. Xue Leng: Writing- Original

Declaration of competing interest

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Jian Wang reports financial support was provided by Taikang Yicai Public Health and Epidemic Control Fund.

Acknowledgments

We are grateful to Dr. Jing Wei, University of Maryland, College Park, for his valuable suggestions. This work was supported by Taikang Yicai Public Health and Epidemic Control Fund.

References (78)

  • X. Liu et al.

    How polycentric is urban China and why? A case study of 318 cities

    Landsc. Urban Plann.

    (2016)
  • M. Tainio et al.

    Air pollution, physical activity and health: a mapping review of the evidence

    Environ. Int.

    (2021)
  • J. Wei et al.

    The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China

    Environ. Int.

    (2021)
  • W. Xu et al.

    Spatiotemporal variation and socioeconomic drivers of air pollution in China during 2005-2016

    J. Environ. Manag.

    (2019)
  • B.Y. Yang et al.

    Global association between ambient air pollution and blood pressure: a systematic review and meta-analysis

    Environ. Pollut.

    (2018)
  • H. Yin et al.

    Population ageing and deaths attributable to ambient PM2.5 pollution: a global analysis of economic cost

    Lancet Planet. Health

    (2021)
  • P. Yin et al.

    The effect of air pollution on deaths, disease burden, and life expectancy across China and its provinces, 1990-2017: an analysis for the Global Burden of Disease Study 2017

    Lancet Planet. Health

    (2020)
  • Y. Zeng et al.

    Ambient air pollution exposure and risk of depression: a systematic review and meta-analysis of observational studies

    Psychiatr. Res.

    (2019)
  • Z. Zhang et al.

    Exposure to ambient particulate matter air pollution, blood pressure and hypertension in children and adolescents: a national cross-sectional study in China

    Environ. Int.

    (2019)
  • S. Zheng et al.

    Housing-choice hindrances and urban spatial structure: evidence from matched location and location-preference data in Chinese cities

    J. Urban Econ.

    (2006)
  • L. Zhuo et al.

    Time trade-off value set for EQ-5D-3L based on a nationally representative Chinese population survey

    Value Health

    (2018)
  • S.D. Adar et al.

    Ambient coarse particulate matter and human health: a systematic review and meta-analysis

    Curr Environ Health Rep

    (2014)
  • What constitutes an adverse health effect of air pollution?

    Am. J. Respir. Crit. Care Med.

    (2000)
  • J.R. Balmes et al.

    Symptomatic bronchoconstriction after short-term inhalation of sulfur dioxide

    Am. Rev. Respir. Dis.

    (1987)
  • R.D. Brook et al.

    Particulate matter air pollution and cardiovascular disease: an update to the scientific statement from the American Heart Association

    Circulation

    (2010)
  • D.S. Brown et al.

    Using health-related quality of life and quality-adjusted life expectancy for effective public health surveillance and prevention

    Expert Rev. Pharmacoecon. Outcomes Res.

    (2013)
  • L. Calderon-Garciduenas et al.

    Air pollution and brain damage

    Toxicol. Pathol.

    (2002)
  • L. Calderon-Garciduenas et al.

    DNA damage in nasal and brain tissues of canines exposed to air pollutants is associated with evidence of chronic brain inflammation and neurodegeneration

    Toxicol. Pathol.

    (2003)
  • I.M. Chapman

    Obesity paradox during aging

    Interdiscipl. Top Gerontol.

    (2010)
  • Y. Choi et al.

    The effect of subjective and objective social class on health-related quality of life: new paradigm using longitudinal analysis

    Health Qual. Life Outcome

    (2015)
  • G.B.D.R.F. Collaborators

    Global burden of 87 risk factors in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019

    Lancet

    (2020)
  • D.A. Davis et al.

    Prenatal exposure to urban air nanoparticles in mice causes altered neuronal differentiation and depression-like responses

    PLoS One

    (2013)
  • A.R. Daykin et al.

    Analyzing ordered responses: a review of the ordered probit model

    Understand. Stat.: Statistical Issues in Psychology, Education, and the Social Sciences

    (2002)
  • Report on the State of the Environment in Shandong Province 2013

    (2014)
  • Report on the State of the Environment in Shandong Province 2014

    (2015)
  • Report on the State of the Environment in Shandong Province 2015

    (2016)
  • Report on the State of the Environment in Shandong Province 2016

    (2017)
  • Report on the State of the Environment in Shandong Province 2017

    (2018)
  • K.L. Dominick et al.

    Relationship of health-related quality of life to health care utilization and mortality among older adults

    Aging Clin. Exp. Res.

    (2002)
  • Cited by (4)

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