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Original Scholarship - Empirical Papers

Associations of neighbourhood attributes with depression in mid-age and older adults: the moderating role of traffic-related air pollution and neighbourhood socioeconomic status

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Received 18 Jan 2024, Accepted 13 May 2024, Published online: 24 May 2024

References

  • Aiken, L.S. and West, S.G., 1991. Multiple regression: testing and interpreting interactions. Newbury Park, CA: Sage.
  • Anenberg, S.C., et al., 2022. Long-term trends in urban NO2 concentrations and associated paediatric asthma incidence: estimates from global datasets. The lancet planetary health, 6 (1), e49–e58. doi:10.1016/S2542-5196(21)00255-2.
  • Annerstedt, M., et al., 2012. Green qualities in the neighbourhood and mental health – results from a longitudinal cohort study in Southern Sweden. BMC public health, 12 (1), 337. doi:10.1186/1471-2458-12-337.
  • Anstey, K. J., et al., 2015. Association of cognitive function with glucose tolerance and trajectories of glucose tolerance over 12 years in the AusDiab study. Alzheimer’s research & therapy, 7 (1), 48. doi:10.1186/s13195-015-0131-4.
  • Astell-Burt, T. and Feng, X., 2019. Association of urban green space with mental health and general health among adults in Australia. JAMA network open, 2 (7). e198209-e198209. doi:10.1001/jamanetworkopen.2019.8209.
  • Australian Bureau of Statistics (ABS), 2011. Census of population and housing: mesh block counts, 2011, cat. no. 2074. Canberra: Australian Bureau of Statistics.
  • Barnett, A., et al., 2018. Relationships between the neighborhood environment and depression in older adults: a systematic review and meta-analysis. International psychogeriatrics, 30 (8), 1153–1176. doi:10.1017/S104161021700271X.
  • Barnett, A., et al., 2020. Objective neighbourhood attributes as correlates of neighbourhood dissatisfaction and the mediating role of neighbourhood perceptions in older adults from culturally and physically diverse urban environments. Cities, 107. doi:10.1016/j.cities.2020.102879.
  • Bigarella, L.G., et al., 2022. Exercise for depression and depressive symptoms in older adults: an umbrella review of systematic reviews and meta-analyses. Aging & mental health, 26 (8), 1503–1513. doi:10.1080/13607863.2021.1951660.
  • Bonnell, L.N., et al., 2022. Urban-rural differences in mental and physical health among primary care patients with multiple chronic conditions: A secondary analysis from a randomized clinical trial. International journal of environmental research and public health, 19 (23). doi:10.3390/ijerph192315580.
  • Cai, H., et al., 2023. Global prevalence of depression in older adults: A systematic review and meta-analysis of epidemiological surveys. Asian journal of psychiatry, 80, 1–9. doi:10.1016/j.ajp.2022.103417.
  • Cao, Z., et al., 2023. Urbanites’ mental health undermined by air pollution. Nature sustainability, 6 (4), 470–478. doi:10.1038/s41893-022-01032-1.
  • Cerin, E., 2019. Building the evidence for an ecological model of cognitive health. Health & place, 60, 102206. doi:10.1016/j.healthplace.2019.102206.
  • Cerin, E., et al., and Council on, E. & Physical Activity - Older Adults working, g, 2017. The neighbourhood physical environment and active travel in older adults: a systematic review and meta-analysis. The international journal of behavioral nutrition and physical activity, 14 (1), 15. doi:10.1186/s12966-017-0471-5.
  • Cerin, E., et al., 2021. From urban neighbourhood environments to cognitive health: a cross-sectional analysis of the role of physical activity and sedentary behaviours. BMC public health, 21 (1), 2320. doi:10.1186/s12889-021-12375-3.
  • Cerin, E., et al., 2023. Do neighbourhood traffic-related air pollution and socio-economic status moderate the associations of the neighbourhood physical environment with cognitive function? Findings from the AusDiab study. Science of the total environment, 858, 160028. doi:10.1016/j.scitotenv.2022.160028.
  • Chen, Y.R., et al., 2022. The association between street connectivity and depression among older Japanese adults: the JAGES longitudinal study. Scientific reports, 12 (1), 13533. doi:10.1038/s41598-022-17650-w.
  • Cramm, J.M. and Nieboer, A.P., 2015. Social cohesion and belonging predict the well-being of community-dwelling older people. BMC geriatrics, 15 (1), 30. doi:10.1186/s12877-015-0027-y.
  • Crossman, S. and Li, O., 2015. Surface hydrology polygons (National). Canberra: Geoscience Australia.
  • Dunstan, D.W., et al., 2002. The Australian diabetes, obesity and lifestyle study (AusDiab) - methods and response rates. Diabetes research and clinical practice, 57 (2), 119–129. doi:10.1016/S0168-8227(02)00025-6.
  • Engelniederhammer, A., Papastefanou, G., and Xiang, L., 2019. Crowding density in urban environment and its effects on emotional responding of pedestrians: Using wearable device technology with sensors capturing proximity and psychophysiological emotion responses while walking in the street. Journal of human behavior in the social environment, 29 (5), 630–646. doi:10.1080/10911359.2019.1579149.
  • Ewald, B., Knibbs, L., and Marks, G., 2021. Opportunity to reduce paediatric asthma in New South Wales through nitrogen dioxide control. Australian and New Zealand journal of public health, 45 (4), 400–402. doi:10.1111/1753-6405.13111.
  • Gascon, M., et al., 2018. Long-term exposure to residential green and blue spaces and anxiety and depression in adults: a cross-sectional study. Environmental research, 162, 231–239. doi:10.1016/j.envres.2018.01.012.
  • Gifford, R., 2007. The consequences of living in high-rise buildings. Architectural science review, 50 (1), 2–17. doi:10.3763/asre.2007.5002.
  • Gonzales-Inca, C., et al., 2022. Residential greenness and risks of depression: longitudinal associations with different greenness indicators and spatial scales in a Finnish population cohort. Health & place, 74, 102760. doi:10.1016/j.healthplace.2022.102760.
  • Gruebner, O., et al., 2017. Cities and mental health. Deutsches Ärzteblatt international, 114 (8), 121–127. doi:10.3238/arztebl.2017.0121.
  • Guo, Y., et al., 2020. Association of neighbourhood social and physical attributes with depression in older adults in Hong Kong: a multilevel analysis. Journal of epidemiology and community health, 74 (2), 120–129. doi:10.1136/jech-2019-212977.
  • Honey-Roses, J. and Zapata, O., 2023. Green spaces with fewer people improve self-reported affective experience and mood. International journal of environmental research and public health, 20 (2), 1219. 20(2. doi:10.3390/ijerph20021219.
  • Kenny, G.P., et al., 2017. Hyperthermia and cardiovascular strain during an extreme heat exposure in young versus older adults. Temperature (Austin), 4 (1), 79–88. doi:10.1080/23328940.2016.1230171.
  • King, T.L., et al., 2015. Does the presence and mix of destinations influence walking and physical activity? International journal of behavioral nutrition and physical activity, 12 (1), 115. doi:10.1186/s12966-015-0279-0.
  • Knibbs, L.D., et al., 2014. A national satellite-based land-use regression model for air pollution exposure assessment in Australia. Environmental research, 135, 204–211. doi:10.1016/j.envres.2014.09.011.
  • Lee, S., et al., 2022. The association between tree canopy cover over streets and elderly pedestrian falls: a health disparity study in urban areas. Social science and medicine, 306, 115169. doi:10.1016/j.socscimed.2022.115169.
  • Leslie, E. and Cerin, E., 2008. Are perceptions of the local environment related to neighbourhood satisfaction and mental health in adults? Preventive medicine, 47 (3), 273–278. doi:10.1016/j.ypmed.2008.01.014.
  • Li, B., et al., 2022. Stress induced microglial activation contributes to depression. Pharmacological research, 179, 106145. doi:10.1016/j.phrs.2022.106145.
  • Lin, C. and Wu, L., 2021. Green and blue space availability and self-rated health among seniors in China: Evidence from a National Survey. International journal of environmental research and public health, 18 (2), 545. doi:10.3390/ijerph18020545.
  • Manaugh, K. and Kreider, T., 2013. What is mixed use? Presenting an interaction method for measuring land use mix. Journal of transport and land use, 6 (1), 63–72. doi:10.5198/jtlu.v6i1.291.
  • Mohebbi, M., et al., and on behalf of the ASPREE Investigator Group, 2019. Prevalence of depressive symptoms and its associated factors among healthy community-dwelling older adults living in Australia and the United States. International journal of geriatric psychiatry, 34 (8), 1208–1216. doi:10.1002/gps.5119.
  • Murrin, E., et al., 2023. Does physical activity mediate the associations between blue space and mental health? A cross-sectional study in Australia. BMC public health, 23 (1), 203. doi:10.1186/s12889-023-15101-3.
  • Nguyen, L., et al., 2020. Where do people interact in high-rise apartment buildings? Exploring the influence of personal and neighborhood characteristics. International journal of environmental research and public health, 17 (13), 4619. 17(13. doi:10.3390/ijerph17134619.
  • Patria, B., 2022. The longitudinal effects of education on depression: finding from the Indonesian national survey. Frontiers in public health, 10, 1–7. doi:10.3389/fpubh.2022.1017995.
  • Pearce, J., et al., 2018. Life course of place: A longitudinal study of mental health and place. Transactions of the institute of British geographers, 43 (4), 555–572. doi:10.1111/tran.12246.
  • PSMA Australia Limited, 2012. PSMA street network. PSMA Australia Limited.
  • Qiu, X., et al., 2023. Association of long-term exposure to air pollution with late-life depression in older adults in the US. JAMA network open, 6 (2), e2253668. doi:10.1001/jamanetworkopen.2022.53668.
  • Radloff, L.S., 1977. The CES-D scale: A self-report depression scale for research in the general population. Applied psychological measurement, 1 (3), 385–401. doi:10.1177/014662167700100306.
  • Reid, C.E., et al., 2017. Is all urban green space the same? A comparison of the health benefits of trees and grass in New York City. International journal of environmental research and public health, 14 (11), 1411. doi:10.3390/ijerph14111411.
  • Saarloos, D., et al., 2011. The built environment and depression in later life: The health in men study. The American journal of geriatric psychiatry, 19 (5), 461–470. doi:10.1097/JGP.0b013e3181e9b9bf.
  • Saelens, B.E., Sallis, J.F., and Frank, L.D., 2003. Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures. Annals of behavioral medicine, 25 (2), 80–91. doi:10.1207/S15324796ABM2502_03.
  • Schlax, J., et al., 2019. Income and education predict elevated depressive symptoms in the general population: results from the Gutenberg health study. BMC public health, 19 (1), 430. doi:10.1186/s12889-019-6730-4.
  • Sharifi, A., 2019. Resilient urban forms: a review of literature on streets and street networks. Building and environment, 147, 171–187. doi:10.1016/j.buildenv.2018.09.040.
  • Sheather S., 2009. A modern approach to regression with R. New York, NY: Springer.
  • Soloveva, M.V., et al., 2023. Characteristics of urban neighbourhood environments and cognitive age in mid-age and older adults. Health & place, 83, 1–8. doi:10.1016/j.healthplace.2023.103077.
  • Strak, M., et al., 2021. Long term exposure to low level air pollution and mortality in eight European cohorts within the ELAPSE project: pooled analysis. BMJ: British medical journal, 374, 1–11. doi:10.1136/bmj.n1904.
  • Sundquist, K., Frank, G., and Sundquist, J., 2004. Urbanisation and incidence of psychosis and depression: follow-up study of 4.4 million women and men in Sweden. British journal of psychiatry, 184 (4), 293–298. doi:10.1192/bjp.184.4.293.
  • Van Buuren, S. and Groothuis-Oudshoorn, K., 2011. mice: Multivariate imputation by chained equations in R. Journal of statistical software, 45 (3), 1–67. doi:10.18637/jss.v045.i03.
  • Vigo, D., Thornicroft, G., and Atun, R., 2016. Estimating the true global burden of mental illness. The lancet psychiatry, 3 (2), 171–178. doi:10.1016/S2215-0366(15)00505-2.
  • Wood, S. N., 2017. Generalised additive models: an introduction with R. 2nd ed. Boca Raton, FL: Chapman & Hall/CRC.
  • World Health Organisation, 2021. Ambient (outdoor) air pollution. Available from: https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health (Accessed 3 April 2024).
  • World Health Organisation, 2023. Mental health of older adults. Available from: https://www.who.int/news-room/fact-sheets/detail/mental-health-of-older-adults (Accessed 18 March 2024).
  • Yang, C., et al., 2022. Association of NO(2) with daily hospital admissions for mental disorders: Investigation of the modification effects of green spaces and long-term NO(2) exposure. Journal of psychiatric research, 156, 698–704. doi:10.1016/j.jpsychires.2022.11.014.
  • Yue, Y., Yang, D., and Van Dyck, D., 2022. Urban greenspace and mental health in Chinese older adults: associations across different greenspace measures and mediating effects of environmental perceptions. Health & place, 76, 102856. doi:10.1016/j.healthplace.2022.102856.
  • Zhang, R., et al., 2022. The relationship between built environment and mental health of older adults: mediating effects of perceptions of community cohesion and community safety and the moderating effect of income. Frontiers in public health, 10, 881169. doi:10.3389/fpubh.2022.881169.
  • Zhang, C.J.P., et al., 2018. Cross-sectional associations of objectively assessed neighbourhood attributes with depressive symptoms in older adults of an ultra-dense urban environment: the Hong Kong ALECS study. BMJ open, 8 (3), e020480. doi:10.1136/bmjopen-2017-020480.
  • Zhang, X., Miller-Hooks, E., and Denn, K., 2015. Assessing the role of network topology in transportation network resilience. Journal of transport geography, 46, 35–45. doi:10.1016/j.jtrangeo.2015.05.006.