Combined Effect of Ambient Temperature and Relative Humidity on Skin Aging Phenotypes in the Era of Climate Change: Results From an Indian Cohort Study
Publication: Dermatitis®
Abstract
Abstract: Background: There is no doubt that global warming, with its extreme heat events, is having an increasing impact on human health. Heat is not independent of ambient temperature but acts synergistically with relative humidity (RH) to increase the risk of several diseases, such as cardiovascular and pulmonary diseases. Although the skin is the organ in direct contact with the environment, it is currently unknown whether skin health is similarly affected.
Objective: While mechanistic studies have demonstrated the mechanism of thermal aging, this is the first epidemiological study to investigate the effect of long-term exposure to heat index (HI) as a combined function of elevated ambient temperature and RH on skin aging phenotypes in Indian women.
Methods: The skin aging phenotypes of 1510 Indian women were assessed using the Score of Intrinsic and Extrinsic Skin Aging (SCINEXA™) scoring tool. We used data on ambient temperature and RH, combined into an HI with solar ultraviolet radiation (UVR), and air pollution (particulate matter <2.5 µm [PM2.5]; nitrogen dioxide [NO2]) from secondary data sources with a 5-year mean residential exposure window. An adjusted ordinal multivariate logistic regression model was used to assess the effects of HI on skin aging phenotypes.
Results: HI increased pigmentation such as hyperpigmented macula on the forehead (odds ratios [OR]: 1.31, 95% confidence interval [CI]: 1.12, 1.54) and coarse wrinkles such as crow’s feet (OR: 1.17, 95% CI: 1.05, 1.30) and under-eye wrinkles (OR: 1.3, 95% CI: 1.15, 1.47). These associations were robust to the confounding effects of solar UVR and age. Prolonged exposure to extreme heat, as indicated by high HI, contributes to skin aging phenotypes.
Conclusion: Thus, ambient temperature and RH are important factors in assessing the skin aging exposome.
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REFERENCES
1. World Medical Association. World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human subjects. Bull World Health Organ. 2001;79(4):373–374.
2. IPCC. 2021: Climate change 2021: The physical science basis. In: Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. (Masson-Delmotte V, Zhai P, Pirani A, Connors SL, Péan C, Berger S. & Zhou B. eds.) Cambridge University Press: Cambridge, United Kingdom and New York, NY, USA; 2021.
3. IPCC. 2022: Summary for policymakers. In: Climate Change 2022: Impacts, Adaptation and Vulnerability, Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. (Pörtner HO, Roberts DC, Okem A. eds.) Cambridge University Press: Cambridge, UK and New York, NY, USA; 2022; pp. 3–33.
4. Watts N, Amann M, Arnell N, et al. The 2020 report of the Lancet countdown on health and climate change: Responding to converging crises. Lancet. 2021;397(10269):129–170.
5. Rocque RJ, Beaudoin C, Ndjaboue R, et al. Health effects of climate change: An overview of systematic reviews. BMJ Open. 2021;11(6):e046333.
6. Romanello M, Di Napoli C, Drummond P, et al. The 2022 report of the Lancet countdown on health and climate change: Health at the mercy of fossil fuels. Lancet. 2022;400(10363):1619–1654.
7. Singh N, Mhawish A, Ghosh S, et al. Attributing mortality from temperature extremes: A time series analysis in Varanasi, India. Sci Total Environ. 2019;665:453–464.
8. Fischer EM, Schär C. Consistent geographical patterns of changes in high-impact European heatwaves. Nat Geosci. 2010;3(6):398–403.
9. Matthews TK, Wilby RL, Murphy C. Communicating the deadly consequences of global warming for human heat stress. Proc Natl Acad Sci U S A. 2017;114(15):3861–3866.
10. Rothfusz LP. The heat index equation (or, more than you ever wanted to know about heat index). Tech. Attachment, SR/SSD 90-23. NWS S. Reg. Headquarters: Forth Worth, TX. 1990. Available from: https://www.weather.gov/media/ffc/ta_htindx.PDF [Last accessed: April 25, 2023].
11. Sun Q, Miao C, Hanel M, et al. Global heat stress on health, wildfires, and agricultural crops under different levels of climate warming. Environ Int. 2019;128:125–136.
12. Li J, Chen YD, Gan TY, et al. Elevated increases in human-perceived temperature under climate warming. Nat Clim Change. 2018;8(1):43–47.
13. Heo S, Bell ML, Lee J-T. Comparison of health risks by heat wave definition: Applicability of wet-bulb globe temperature for heat wave criteria. Environ Res. 2019;168:158–170.
14. Engebretsen KA, Johansen JD, Kezic S, et al. The effect of environmental humidity and temperature on skin barrier function and dermatitis. J Eur Acad Dermatol Venereol. 2016;30(2):223–249.
15. Hieda DS, da Costa Carvalho LA, de Mello BV, et al. Air particulate matter induces skin barrier dysfunction and water transport alteration on a reconstructed human epidermis model. J Invest Dermatol. 2020;140(12):2343–2352.e3.
16. Biniek K, Levi K, Dauskardt RH. Solar UV radiation reduces the barrier function of human skin. Proc Natl Acad Sci U S A. 2012;109(42):17111–17116.
17. Hüls A, Vierkötter A, Gao W, et al. Traffic-related air pollution contributes to development of facial lentigines: Further epidemiological evidence from Caucasians and Asians. J Invest Dermatol. 2016;136(5):1053–1056.
18. Hüls A, Sugiri D, Fuks K, et al. Lentigine formation in Caucasian women–interaction between particulate matter and solar UVR. J Invest Dermatol. 2019;139(4):974–976.
19. Vierkötter A, Schikowski T, Ranft U, et al. Airborne particle exposure and extrinsic skin aging. J Invest Dermatol. 2010;130(12):2719–2726.
20. Krutmann J, Liu W, Li L, et al. Pollution and skin: From epidemiological and mechanistic studies to clinical implications. J Dermatol Sci. 2014;76(3):163–168.
21. Fuks KB, Hüls A, Sugiri D, et al. Tropospheric ozone and skin aging: Results from two German cohort studies. Environ Int. 2019;124:139–144.
22. Krutmann J, Bouloc A, Sore G, et al. The skin aging exposome. J Dermatol Sci. 2017;85(3):152–161.
23. Krutmann J, Schikowski T, Morita A, et al. Environmentally-induced (extrinsic) skin aging: Exposomal factors and underlying mechanisms. J Invest Dermatol. 2021;141(4S):1096–1103.
24. Seo JY, Chung JH. Thermal aging: A new concept of skin aging. J Dermatol Sci Supplement. 2006;2(1):S13–S22.
25. Grandl J, Hu H, Bandell M, et al. Pore region of TRPV3 ion channel is specifically required for heat activation. Nat Neurosci. 2008;11(9):1007–1013.
26. Bollmeyer C, Keller JD, Ohlwein C, et al. Towards a high‐resolution regional reanalysis for the European CORDEX domain. Quart J Royal Meteoro Soc. 2015;141(686):1–15.
27. Yang P, Feng J, Luo J, et al. A critical role for TRP channels in the skin. In: Neurobiology of TRP Channels. (Emir TLR eds.) CRC Press/Taylor & Francis: Boca Raton, FL; 2017; pp. 95–111.
28. Singh S, Mall RK, Singh N. Changing spatio‐temporal trends of heat wave and severe heat wave events over India: An emerging health hazard. Int J Climatol. 2021;41:E1831–E1845.
29. NCRB (National Crime Records Bureau). Accidental deaths & suicides in India, 2016. Ministry of Home Affairs, Government of India: New Delhi. Available from: https://www.ncrb.gov.in/accidental-deaths-suicides-in-india-year-wise.html?year=2016&keyword= [Last accessed: April 25, 2023].
30. Vierkötter A, Ranft U, Krämer U, et al. The SCINEXA: A novel, validated score to simultaneously assess and differentiate between intrinsic and extrinsic skin ageing. J Dermatol Sci. 2009;53(3):207–211.
31. Tschachler E, Morizot F. Ethnic differences in skin aging. In: Skin Aging. (Gilchrest BA, Krutmann J. eds.) Springer: Berlin, Heidelberg, Germany; 2006; pp. 23–31.
32. Li M, Vierkötter A, Schikowski T, et al. Epidemiological evidence that indoor air pollution from cooking with solid fuels accelerates skin aging in Chinese women. J Dermatol Sci. 2015;79(2):148–154.
33. Peng F, Xue CH, Hwang S, et al. Exposure to fine particulate matter associated with senile lentigo in Chinese women: A cross‐sectional study. J Eur Acad Dermatol Venereol. 2017;31(2):355–360.
34. Bazin R, Flament F. Skin Aging Atlas, Volume. 2, Asian Type. Med’Com: Paris, France; 2010.
35. CDS (Climate Data Store). ECMWF reanalysis v5 (ERA5). Copernicus Climate Change Service, Programme of the European Union, Copernicus and ECMWF. 2022. Available from: https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5 [Last accessed: July 25, 2022].
36. TEMIS (Tropospheric Emission Monitoring Internet Service). UV station data based on operational TEMIS satellite ozone data. Time series of UV data 2020. Tropospheric Emission Monitoring Internet Service, Royal Netherlands Meteorological Institute (KNMI) and European Space Agency. Available from: https://www.temis.nl/uvradiation/UVarchive/stations_uv.php [Last accessed: April 25, 2023].
37. Dey S, Purohit B, Balyan P, et al. A satellite-based high-resolution (1-km) ambient PM2. 5 database for India over two decades (2000–2019): Applications for air quality management. Remote Sens. 2020;12(23):3872.
38. Hart W, Albarracín D, Eagly AH, et al. Feeling validated versus being correct: A meta-analysis of selective exposure to information. Psychol Bull. 2009;135(4):555–588.
39. Shukla K, Dadheech N, Kumar P, et al. Regression-based flexible models for photochemical air pollutants in the national capital territory of megacity Delhi. Chemosphere. 2021;272:129611.
40. Quandt SA, Wiggins MF, Chen H, et al. Heat index in migrant farmworker housing: Implications for rest and recovery from work-related heat stress. Am J Public Health. 2013;103(8):e24–e26.
41. Luo M, Lau N-C. Characteristics of summer heat stress in China during 1979–2014: Climatology and long-term trends. Clim Dyn. 2019;53(9–10):5375–5388.
42. NOAA (National Oceanic and Atmospheric Administration). The heat index equation. National Oceanic and Atmospheric Administration/National Weather Service, National Centers for Environmental Prediction, Weather Prediction Center. University Research Court, College Park: Maryland. Available from: https://www.wpc.ncep.noaa.gov/html/heatindex_equation.shtml [Last accessed: April 25, 2023].
43. Khamis H. Measures of association: How to choose? J Diagn Med Sonogr. 2008;24(3):155–162.
44. Fioletov V, Kerr JB, Fergusson A. The UV index: Definition, distribution and factors affecting it. Can J Public Health. 2010;101(4):I5–I9.
45. R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing: Vienna, Austria. 2021. Available from: https://www.R-project.org/
46. Kamyotra J, Saha D, Tyagi S, et al. Guidelines for the Measurement of Ambient Air Pollutants, Volume. II. Central Pollution Control Board-Ministry of Environment & Forests: Delhi, India; 2011.
47. World Bank Group. Climate change knowledge portal. Available from: https://climateknowledgeportal.worldbank.org/sub-page-types/country-summary/climate-data-historical-1 [Last accessed: April 25, 2023].
48. WHO (World Health Organization). National air quality standards. SWISS TPH. 2019. Available from: https://worldhealthorg.shinyapps.io/AirQualityStandards [Last accessed: April 25, 2023].
49. Lipa K, Zając N, Owczarek W, et al. Does smoking affect your skin? Postepy Dermatol Alergol. 2021;38(3):371–376.
50. Sanches Silveira JE, Myaki Pedroso DM. UV light and skin aging. Rev Environ Health. 2014;29(3):243–254.
51. Singh T, Siderius C, Van der Velde Y. When do Indians feel hot? Internet searches indicate seasonality suppresses adaptation to heat. Environ Res Lett. 2018;13(5):054009.
52. Robinson PJ. On the definition of a heat wave. J Appl Meteor. 2001;40(4):762–775.
53. Sherwood SC, Huber M. An adaptability limit to climate change due to heat stress. Proc Natl Acad Sci U S A. 2010;107(21):9552–9555.
54. Pal JS, Eltahir EA. Future temperature in southwest Asia projected to exceed a threshold for human adaptability. Nat Clim Change. 2016;6(2):197–200.
55. Chen Z, Seo JY, Kim YK, et al. Heat modulation of tropoelastin, fibrillin-1, and matrix metalloproteinase-12 in human skin in vivo. J Invest Dermatol. 2005;124(1):70–78.
56. Kim MS, Kim YK, Lee DH, et al. Acute exposure of human skin to ultraviolet or infrared radiation or heat stimuli increases mast cell numbers and tryptase expression in human skin in vivo. Br J Dermatol. 2009;160(2):393–402.
57. Cho S, Lee MJ, Kim MS, et al. Infrared plus visible light and heat from natural sunlight participate in the expression of MMPs and type I procollagen as well as infiltration of inflammatory cell in human skin in vivo. J Dermatol Sci. 2008;50(2):123–133.
58. Brennan M, Bhatti H, Nerusu KC, et al. Matrix metalloproteinase‐1 is the major collagenolytic enzyme responsible for collagen damage in UV‐irradiated human skin. Photochem Photobiol. 2003;78(1):43–48.
59. Lan CCE. Effects and interactions of increased environmental temperature and UV radiation on photoageing and photocarcinogenesis of the skin. Exp Dermatol. 2019;28 Suppl 1:23–27.
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