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20-05-2020 | Original Paper

Using the theory of planned behavior to identify key beliefs underlying heat adaptation behaviors in elderly populations

Authors: Pierre Valois, Denis Talbot, David Bouchard, Jean-Sébastien Renaud, Maxime Caron, Magalie Canuel, Natacha Arrambourg

Published in: Population and Environment | Issue 4/2020

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Abstract

As the literature on heat tolerance suggests that the elderly are generally more heat-intolerant and suffer more from the substantial impacts of excessive heat on human health, exacerbated by their higher rate of chronic diseases, it is important to learn how to better protect this vulnerable population. Moreover, many studies have shown that, despite their vulnerability, the elderly do not necessarily perceive themselves as being at risk or see heat waves as a danger to their health. This lower risk perception could hinder their adoption of adaptive behavior. Thus, using the theory of planned behavior and the health belief model, this study aimed at developing a more thorough understanding of what motivates older people from the province of Quebec, Canada, to adopt pro-adaptive behaviors to protect themselves from the heat, to better predict and explain their self-reported heat adaptation behaviors, and to identify their most important beliefs. In this quantitative study, a telephone sample of 1002 persons was used to explore the decision-making process of seniors in a way that led us to illustrate specific variables that could be targeted for awareness raising. All three variables of the theory of planned behavior (i.e., attitude, perceived social pressure, and perceived behavioral control) had a statistically significant impact on intention to adapt, while intention itself was linked to adoption of adaptive behaviors. This shows that increasing elderly people’s intention to adapt can have a positive impact on their adaptation to heat, which could help prevent this at-risk population from suffering the dangerous effects of heat waves.

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The study was reviewed and approved by the Laval University Human Research Ethics Committee.

Abrahamson, V., Wolf, J., Lorenzoni, I., Fenn, B., Kovats, S., Wilkinson, P., et al. (2009). Perceptions of heatwave risks to health: interview-based study of older people in London and Norwich, UK. Journal of Public Health, 31(1), 119–126. https://doi.org/10.1093/pubmed/fdn102.CrossRef

Ajzen, I. (1985). From intentions to actions: a theory of planned behavior. In J. Kuhl & J. Beckman (Eds.), Action-control: from cognition to behavior (pp. 11–39). Heidelberg: Springer.CrossRef

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T.CrossRef

Ajzen, I. (2005). Attitudes, personality, and behavior. McGraw-Hill Education (UK).

Ajzen, I. (2012). The theory of planned behavior. In P. A. M. Lange, A. W. Kruglanski, & E. T. Higgins (Eds.), Handbook of theories of social psychology (Vol. 1, pp. 438–459). London: Sage.CrossRef

Ajzen, I., Joyce, N., Sheikh, S., & Cote, N. G. (2011). Knowledge and the prediction of behavior: the role of information accuracy in the theory of planned behavior. Basic and Applied Social Psychology, 33(2), 101–117. https://doi.org/10.1080/01973533.2011.568834.CrossRef

Anderson, B. G., & Bell, M. L. (2009). Weather-related mortality: how heat, cold, and heat waves affect mortality in the United States. Epidemiology (Cambridge, Mass.), 20(2), 205–213. https://doi.org/10.1097/EDE.0b013e318190ee08.CrossRef

Anderson, G. B., & Bell, M. L. (2011). Heat waves in the United States: mortality risk during heat waves and effect modification by heat wave characteristics in 43 U.S. communities. Environmental Health Perspectives, 119(2), 210–218. https://doi.org/10.1289/ehp.1002313.CrossRef

Armitage, C. J., Reid, J. C., & Spencer, C. P. (2013). Changes in cognition and behaviour: a causal analysis of single-occupancy car use in a rural community. Transportmetrica A: Transport Science, 9(1), 1–10. https://doi.org/10.1080/18128602.2010.509706.CrossRef

Bakhsh, K., Rauf, S., & Zulfiqar, F. (2018). Adaptation strategies for minimizing heat wave induced morbidity and its determinants. Sustainable Cities and Society, 41, 95–103. https://doi.org/10.1016/j.scs.2018.05.021.CrossRef

Bamberg, S., & Möser, G. (2007). Twenty years after Hines, Hungerford, and Tomera: a new meta-analysis of psycho-social determinants of pro-environmental behaviour. Journal of Environmental Psychology, 27(1), 14–25. https://doi.org/10.1016/j.jenvp.2006.12.002.CrossRef

Bandalos, D. L., & Finney, S. J. (2001). Item parceling issues in structural equation modeling. In New developments and techniques in structural equation modeling (pp. 269–296). Mahwah: Lawrence Erlbaum Associates Publishers.

Bandura, A. (2004). Health promotion by social cognitive means. Health Education & Behavior, 31(2), 143–164. https://doi.org/10.1177/1090198104263660.CrossRef

Basu, R., & Samet, J. M. (2002). Relation between elevated ambient temperature and mortality: a review of the epidemiologic evidence. Epidemiologic Reviews, 24(2), 190–202. https://doi.org/10.1093/epirev/mxf007.CrossRef

Bélanger, D., Séguin, J., & Canada (Eds.). (2008). Human health in a changing climate: a Canadian assessment of vulnerabilities and adaptive capacity. Ottawa: Health Canada.

Bélanger, D., Gosselin, P., Valois, P., & Abdous, B. (2014). Perceived adverse health effects of heat and their determinants in deprived neighbourhoods: a cross-sectional survey of nine cities in Canada. International Journal of Environmental Research and Public Health, 11(11), 11028–11053. https://doi.org/10.3390/ijerph111111028.CrossRef

Bichard, E., & Kazmierczak, A. (2012). Are homeowners willing to adapt to and mitigate the effects of climate change? Climatic Change, 112(3–4), 633–654. https://doi.org/10.1007/s10584-011-0257-8.CrossRef

Blachère, J.-C., & Perreault, S. (2011). Médicaments du système nerveux central et canicules: rapport et recommandations. Direction de la santé environnementale et de la toxicologie, Institut national de santé publique du Québec.

Bloom, D. E., Canning, D., & Lubet, A. (2015). Global population aging: facts, challenges, solutions & perspectives. Daedalus, 144(2), 80–92. https://doi.org/10.1162/DAED_a_00332.CrossRef

Bustinza, R., Lebel, G., Dubé, M., & Institut national de santé publique du Québec, & Direction de la santé environnementale et de la toxicologie. (2017). Évaluation de la performance des avertissements de chaleur extrême émis par le système SUPREME au Québec de 2010 à 2016: changements extrêmes. Montréal: Institut national de santé publique du Québec http://www.santecom.qc.ca/Bibliothequevirtuelle/INSPQ/9782550792178.pdf. Accessed 24 January 2020.

Byrne, B. M. (2012). Internationalizing courses in testing and assessment. In F. T. L. Leong, W. E. Pickren, M. M. Leach, & A. J. Marsella (Eds.), Internationalizing the psychology curriculum in the United States (pp. 131–155). New York: Springer.

Canada, & Department of National Health and Welfare. (2011). Communicating the health risks of extreme heat events: toolkit for public health and emergency management officials. Ottawa: Health Canada.

Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14(3), 464–504. https://doi.org/10.1080/10705510701301834.CrossRef

Cheng, J., Xu, Z., Bambrick, H., Su, H., Tong, S., & Hu, W. (2018). Heatwave and elderly mortality: an evaluation of death burden and health costs considering short-term mortality displacement. Environment International, 115, 334–342. https://doi.org/10.1016/j.envint.2018.03.041.CrossRef

Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255. https://doi.org/10.1207/S15328007SEM0902_5.CrossRef

Conner, M., & Norman, P. (2005). Predicting health behaviour. Maidenhead, Berkshire: Open University Press.

D’Ippoliti, D., Michelozzi, P., Marino, C., de’Donato, F., Menne, B., Katsouyanni, K., et al. (2010). The impact of heat waves on mortality in 9 European cities: results from the EuroHEAT project. Environmental Health, 9, 37. https://doi.org/10.1186/1476-069X-9-37.CrossRef

de Leeuw, A., Valois, P., Ajzen, I., & Schmidt, P. (2015). Using the theory of planned behavior to identify key beliefs underlying pro-environmental behavior in high-school students: implications for educational interventions. Journal of Environmental Psychology, 42, 128–138. https://doi.org/10.1016/j.jenvp.2015.03.005.CrossRef

Dosman, D. M., Adamowicz, W. L., & Hrudey, S. E. (2001). Socioeconomic determinants of health and food safety-related risk perceptions. Risk Analysis: An International Journal, 21(2), 307. https://doi.org/10.1111/0272-4332.212113.CrossRef

Doyal, L. (2001). Sex, gender, and health: the need for a new approach. BMJ, 323(7320), 1061–1063. https://doi.org/10.1136/bmj.323.7320.1061.CrossRef

Duncanson, K., Burrows, T., Holman, B., & Collins, C. (2013). Parents’ perceptions of child feeding: a qualitative study based on the theory of planned behavior. Journal of Developmental and Behavioral Pediatrics, 34(4), 227–236. https://doi.org/10.1097/DBP.0b013e31828b2ccf.CrossRef

Estrada, F., Tol, R. S. J., & Botzen, W. J. W. (2017). Global economic impacts of climate variability and change during the 20th century. PLoS One, 12(2), e0172201. https://doi.org/10.1371/journal.pone.0172201.CrossRef

Fishbein, M., & Ajzen, I. (2010). Predicting and changing behavior: the reasoned action approach. New York: Psychology Press. http://ariane.ulaval.ca/cgi-bin/recherche.cgi?qu=a1887684. Accessed 23 Apr 2019.

Flynn, J., Slovic, P., & Mertz, C. K. (1994). Gender, race, and perception of environmental health risks. Risk Analysis, 14(6), 1101–1108. https://doi.org/10.1111/j.1539-6924.1994.tb00082.x.CrossRef

Gabriel, K. M. A., & Endlicher, W. R. (2011). Urban and rural mortality rates during heat waves in Berlin and Brandenburg, Germany. Environmental Pollution, 159(8–9), 2044–2050. https://doi.org/10.1016/j.envpol.2011.01.016.CrossRef

Gardner, K. J., & Qualter, P. (2011). Factor structure, measurement invariance and structural invariance of the MSCEIT V2.0. Personality and Individual Differences, 51(4), 492–496. https://doi.org/10.1016/j.paid.2011.05.004.CrossRef

Gérardin, V., & McKenney, D. (2001). Une classification climatique du Québec à partir de modèles de distribution spatiale de données climatiques mensuelles : vers une définition des bioclimats du Québec. Direction du patrimoine écologique et du développement durable, ministère de l’Environnement, Québec.

Gifford, R., & Nilsson, A. (2014). Personal and social factors that influence pro-environmental concern and behaviour: a review. International Journal of Psychology, 49(3), 141–157. https://doi.org/10.1002/ijop.12034.CrossRef

Gifford, R. M., Todisco, T., Stacey, M., Fujisawa, T., Allerhand, M., Woods, D. R., & Reynolds, R. M. (2019). Risk of heat illness in men and women: a systematic review and meta-analysis. Environmental Research, 171, 24–35. https://doi.org/10.1016/j.envres.2018.10.020.CrossRef

Giguère, M. (2009). Urban Heat Island mitigation strategies. INSPQ: Institut national de santé publique Québec. https://www.inspq.qc.ca/pdf/publications/1513_UrbanHeatIslandMitigationStrategies.pdf. Accessed 31 Jul 2018.

Glass, K., Tait, P. W., Hanna, E. G., & Dear, K. (2015). Estimating risks of heat strain by age and sex: a population-level simulation model. International Journal of Environmental Research and Public Health, 12(5), 5241–5255. https://doi.org/10.3390/ijerph120505241.CrossRef

Guberman, N. (2002). L’analyse différenciée selon les sexes et les politiques québécoises pour les personnes âgées en perte d’autonomie. Lien social et Politiques, 47, 155–169. https://doi.org/10.7202/000349ar.CrossRef

Guo, Y., Gasparrini, A., Li, S., Sera, F., Vicedo-Cabrera, A. M., de Sousa Zanotti Stagliorio Coelho, M., et al. (2018). Quantifying excess deaths related to heatwaves under climate change scenarios: a multicountry time series modelling study. PLoS Medicine, 15(7), e1002629. https://doi.org/10.1371/journal.pmed.1002629.CrossRef

Hancock, G. R., & Mueller, R. O. (Eds.). (2013). Structural equation modeling: a second course (2nd ed.). Charlotte: Information Age Publishing, Inc..

Harlan, S. L., & Ruddell, D. M. (2011). Climate change and health in cities: impacts of heat and air pollution and potential co-benefits from mitigation and adaptation. Current Opinion in Environment Sustainability, 3, 126–134. https://doi.org/10.1016/j.cosust.2011.01.001.CrossRef

Hattis, D., Ogneva-Himmelberger, Y., & Ratick, S. (2012). The spatial variability of heat-related mortality in Massachusetts. Applied Geography, 33, 45–52. https://doi.org/10.1016/j.apgeog.2011.07.008.CrossRef

Hayduk, L., Cummings, G., Boadu, K., Pazderka-Robinson, H., & Boulianne, S. (2007). Testing! Testing! One, two, three—testing the theory in structural equation models! Personality and Individual Differences, 42(5), 841–850. https://doi.org/10.1016/j.paid.2006.10.001.CrossRef

Henderson, S. B., Wan, V., & Kosatsky, T. (2013). Differences in heat-related mortality across four ecological regions with diverse urban, rural, and remote populations in British Columbia, Canada. Health & Place, 23, 48–53. https://doi.org/10.1016/j.healthplace.2013.04.005.CrossRef

Herrmann, A., & Sauerborn, R. (2018). General practitioners’ perceptions of heat health impacts on the elderly in the face of climate change—a qualitative study in Baden-Württemberg, Germany. International Journal of Environmental Research and Public Health, 15(5), 843. https://doi.org/10.3390/ijerph15050843.CrossRef

Hess, J. J., Saha, S., & Luber, G. (2014). Summertime acute heat illness in U.S. Emergency Departments from 2006 through 2010: Analysis of a nationally representative sample. Environmental Health Perspectives, 122(11), 1209–1215. https://doi.org/10.1289/ehp.1306796.CrossRef

Hines, J. M., Hungerford, H. R., & Tomera, A. N. (1987). Analysis and synthesis of research on responsible environmental behavior: a meta-analysis. The Journal of Environmental Education, 18(2), 1–8. https://doi.org/10.1080/00958964.1987.9943482.CrossRef

Hox, J. J., & Bechger, T. M. (1998). An introduction to structural equation modeling.

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118.CrossRef

Hwang, Y. (2012). Social diffusion of campaign effects: campaign-generated interpersonal communication as a mediator of antitobacco campaign effects. Communication Research, 39(1), 120–141. https://doi.org/10.1177/0093650210389029.CrossRef

INSPQ. (2006). Vagues de chaleur, îlot thermique urbain et santé: Examen des initiatives actuelles d’adaptation aux changements climatiques au Québec (p. 15).

IPCC. (2014). Climate change 2014: impacts, adaptation, and vulnerability. Part A: global and sectoral aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge and New York: Cambridge University Press.

Johnson, J. L., Greaves, L., & Repta, R. (2009). Better science with sex and gender: facilitating the use of a sex and gender-based analysis in health research. International Journal for Equity in Health, 8(1), 14. https://doi.org/10.1186/1475-9276-8-14.CrossRef

Kalkstein, A. J., & Sheridan, S. C. (2007). The social impacts of the heat-health watch/warning system in Phoenix, Arizona: assessing the perceived risk and response of the public. International Journal of Biometeorology, 52(1), 43–55. https://doi.org/10.1007/s00484-006-0073-4.CrossRef

Kellens, W., Zaalberg, R., Neutens, T., Vanneuville, W., & De Maeyer, P. (2011). An analysis of the public perception of flood risk on the Belgian coast. Risk Analysis: An International Journal, 31(7), 1055–1068. https://doi.org/10.1111/j.1539-6924.2010.01571.x.CrossRef

Kim, H. S., Bigman, C. A., Leader, A. E., Lerman, C., & Cappella, J. N. (2012). Narrative health communication and behavior change: the influence of exemplars in the news on intention to quit smoking. The Journal of Communication, 62(3), 473–492. https://doi.org/10.1111/j.1460-2466.2012.01644.x.CrossRef

Kinney, P. L., O’Neill, M. S., Bell, M. L., & Schwartz, J. (2008). Approaches for estimating effects of climate change on heat-related deaths: challenges and opportunities. Environmental Science & Policy, 11(1), 87–96. https://doi.org/10.1016/j.envsci.2007.08.001.CrossRef

Kline, R. (2011). Principles and practice of structural equation modeling (3rd ed.). New York: Guildford Publications.

Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford Publications.

Klinenberg, E. (2002). Heat wave. A social autopsy of disaster in Chicago. https://doi.org/10.7208/chicago/9780226026718.001.0001.

Klöckner, C. A. (2013). A comprehensive model of the psychology of environmental behaviour—a meta-analysis. Global Environmental Change, 23(5), 1028–1038. https://doi.org/10.1016/j.gloenvcha.2013.05.014.CrossRef

Kovats, R. S., & Hajat, S. (2008). Heat stress and public health: a critical review. Annual Review of Public Health, 29, 41–55. https://doi.org/10.1146/annurev.publhealth.29.020907.090843.CrossRef

Krieger, N. (2003). Genders, sexes, and health: what are the connections—and why does it matter? International Journal of Epidemiology, 32(4), 652–657. https://doi.org/10.1093/ije/dyg156.CrossRef

Lebel, G., Dubé, M., & Bustinza, R. (2019). Surveillance des impacts des vagues régionales de chaleur extrême sur la santé au Québec à l’été 2018. Publication INSPQ.

Lee, J., Little, T. D., & Preacher, K. J. (2011). Methodological issues in using structural equation models for testing differential item functioning. In E. Davidov, P. Schmidt, & J. Billiet (Eds.), Cross-cultural analysis: methods and applications (pp. 55–85). Routledge.

Lemal, M., & Van den Bulck, J. (2010). Testing the effectiveness of a skin cancer narrative in promoting positive health behavior: a pilot study. Preventive Medicine, 51(2), 178–181. https://doi.org/10.1016/j.ypmed.2010.04.019.CrossRef

Li, M., Gu, S., Bi, P., Yang, J., & Liu, Q. (2015). Heat waves and morbidity: current knowledge and further direction—a comprehensive literature review. International Journal of Environmental Research and Public Health, 12(5), 5256–5283. https://doi.org/10.3390/ijerph120505256.CrossRef

Liu, T., Xu, Y. J., Zhang, Y. H., Yan, Q. H., Song, X. L., Xie, H. Y., et al. (2013). Associations between risk perception, spontaneous adaptation behavior to heat waves and heatstroke in Guangdong Province, China. BMC Public Health, 13(1), 913. https://doi.org/10.1186/1471-2458-13-913.CrossRef

Lowe, D., Ebi, K. L., & Forsberg, B. (2011). Heatwave early warning systems and adaptation advice to reduce human health consequences of heatwaves. International Journal of Environmental Research and Public Health, 8(12), 4623. https://doi.org/10.3390/ijerph8124623.CrossRef

Lundborg, P., & Andersson, H. (2008). Gender, risk perceptions, and smoking behavior. Journal of Health Economics, 27(5), 1299–1311. https://doi.org/10.1016/j.jhealeco.2008.03.003.CrossRef

Lundborg, P., & Lindgren, B. (2004). Do they know what they are doing? Risk perceptions and smoking behaviour among Swedish teenagers. Journal of Risk and Uncertainty, 28(3), 261–286. https://doi.org/10.1023/B:RISK.0000026098.84109.62.CrossRef

Ma, W., Zeng, W., Zhou, M., Wang, L., Rutherford, S., Lin, H., et al. (2015). The short-term effect of heat waves on mortality and its modifiers in China: an analysis from 66 communities. Environment International, 75, 103–109. https://doi.org/10.1016/j.envint.2014.11.004.CrossRef

Macintyre, H. L., Heaviside, C., Taylor, J., Picetti, R., Symonds, P., Cai, X.-M., & Vardoulakis, S. (2018). Assessing urban population vulnerability and environmental risks across an urban area during heatwaves—implications for health protection. Science of the Total Environment, 610–611, 678–690. https://doi.org/10.1016/j.scitotenv.2017.08.062.CrossRef

Marks, R., Allegrante, J. P., & Lorig, K. (2005). A review and synthesis of research evidence for self-efficacy-enhancing interventions for reducing chronic disability: implications for health education practice (part I). Health Promotion Practice, 6(1), 37–43. https://doi.org/10.1177/1524839904266790.CrossRef

Marsh, H. W. (2007). Application of confirmatory factor analysis and structural equation modeling in sport and exercise psychology. In Handbook of sport psychology (3rd ed., pp. 774–798). Hoboken.

Millsap, E. (2011). Statistical methods for studying measurement invariance. Abingdon: Taylor and Francis.

Montanaro, E. A., & Bryan, A. D. (2014). Comparing theory-based condom interventions: health belief model versus theory of planned behavior. Health Psychology, 33(10), 1251. https://doi.org/10.1037/a0033969.CrossRef

Mora, C., Dousset, B., Caldwell, I. R., Powell, F. E., Geronimo, R. C., Bielecki, C. R., et al. (2017). Global risk of deadly heat. Nature Climate Change, 7, 501–506. https://doi.org/10.1038/nclimate3322.CrossRef

Muthén, L. K., & Muthén, B. O. (1998). Mplus: the comprehensive modeling program for applied researchers: user’s guide (version 1.0.). Los Angeles: Muthén & Muthén.

Muthén, L. K., & Muthén, B. O. (2015). Mplus user’s guide (7th ed.). Los Angeles: Muthén & Muthén.

Oke, T. R. (1982). The energic basis of Urban Heat Island. Journal of the Royal Meteorological Society, 108(455), 1–24.

Raykov, T., & Marcoulides, G. A. (2004). Using the delta method for approximate interval estimation of parameter functions in SEM. Structural Equation Modeling, 11(4), 621–637. https://doi.org/10.1207/s15328007sem1104_7.CrossRef

Rey, G., Fouillet, A., Bessemoulin, P., Frayssinet, P., Dufour, A., Jougla, E., & Hémon, D. (2009). Heat exposure and socio-economic vulnerability as synergistic factors in heat-wave-related mortality. European Journal of Epidemiology, 24(9), 495–502. https://doi.org/10.1007/s10654-009-9374-3.CrossRef

Richard, L., Kosatsky, T., & Renouf, A. (2011). Correlates of hot day air-conditioning use among middle-aged and older adults with chronic heart and lung diseases: the role of health beliefs and cues to action. Health Education Research, 26(1), 77–88. https://doi.org/10.1093/her/cyq072.CrossRef

Rimal, R. N. (2000). Closing the knowledge-behavior gap in health promotion: the mediating role of self-efficacy. Health Communication, 12(3), 219–237. https://doi.org/10.1207/S15327027HC1203_01.CrossRef

Robine, J.-M., Cheung, S. L. K., Le Roy, S., Van Oyen, H., Griffiths, C., Michel, J.-P., & Herrmann, F. R. (2008). Death toll exceeded 70,000 in Europe during the summer of 2003. Comptes Rendus Biologies, 331(2), 171–178. https://doi.org/10.1016/j.crvi.2007.12.001.CrossRef

Rosenstock, I. M. (1974). The health belief model and preventive health behavior. Health Education & Behavior, 2(4), 354–386. https://doi.org/10.1177/109019817400200405.CrossRef

Sampson, N. R., Gronlund, C. J., Buxton, M. A., Catalano, L., White-Newsome, J. L., Conlon, K. C., et al. (2013). Staying cool in a changing climate: reaching vulnerable populations during heat events. Global Environmental Change, 23(2), 475–484. https://doi.org/10.1016/j.gloenvcha.2012.12.011.CrossRef

Sautory, O. (1993). La macro CALMAR: Redressement d’un échantillon par calage sur marges (No. F9310) (pp. 1–51). Paris: Direction des Statistiques Démographiques et Sociales.

Schmeltz, M. T., Sembajwe, G., Marcotullio, P. J., Grassman, J. A., Himmelstein, D. U., & Woolhandler, S. (2015). Identifying individual risk factors and documenting the pattern of heat-related illness through analyses of hospitalization and patterns of household cooling. PLoS One, 10(3), e0118958. https://doi.org/10.1371/journal.pone.0118958.CrossRef

Sheeran, P. (2002). Intention–behavior relations: a conceptual and empirical review. European Review of Social Psychology, 12(1), 1–36. https://doi.org/10.1080/14792772143000003.CrossRef

Sheridan, S., & Dolney, T. (2003). Heat, mortality, and level of urbanization: measuring vulnerability across Ohio, USA. Climate Research, 24, 255–265. https://doi.org/10.3354/cr024255.CrossRef

Sterling, S. (2011). Transformative learning and sustainability: sketching the conceptual ground. Learning and Teaching in Higher Education, 5, 17–33.

Stern, P. C. (2011). Contributions of psychology to limiting climate change. The American Psychologist, 66(4), 303–314. https://doi.org/10.1037/a0023235.CrossRef

Tairou, F., Bélanger, D., & Gosselin, P. (2010). Proposition d’indicateurs aux fins de vigie et de surveillance des troubles de la santé liés aux vagues de chaleur. INSPQ. https://www.inspq.qc.ca/pdf/publications/1079_IndicateursVigieSanteChaleur.pdf. Accessed 30 Jul 2018.

Tan, J., Zheng, Y., Tang, X., Guo, C., Li, L., Song, G., et al. (2010). The Urban Heat Island and its impact on heat waves and human health in Shanghai. International Journal of Biometeorology, 54(1), 75–84. https://doi.org/10.1007/s00484-009-0256-x.CrossRef

Thanakwang, K., & Soonthorndhada, K. (2011). Mechanisms by which social support networks influence healthy aging among Thai community-dwelling elderly. Journal of Aging and Health, 23(8), 1352–1378. https://doi.org/10.1177/0898264311418503.CrossRef

United Nations, Department of Economic and Social Affairs, Population Division. (2015). World population ageing 2015 (No. ST/ESA/SET. A/390) (p. 164). New York, NY: United Nations New York, NY.

Valois, P., Talbot, D., Carrier, M.-P., Renaud, J.-S., & Caron, M. (2016). Adaptation des personnes âgées à la chaleur l’été : identification des croyances dominantes. Québec: OQACC.

Valois, P., Talbot, D., Caron, M., Carrier, M.-P., Morin, A. J. S., Renaud, J.-S., et al. (2017). Development and validation of a behavioural index for adaptation to high summer temperatures among urban dwellers. International Journal of Environmental Research and Public Health, 14(7), e14070820. https://doi.org/10.3390/ijerph14070820.CrossRef

van den Putte, B., Yzer, M., Southwell, B. G., de Bruijn, G.-J., & Willemsen, M. C. (2011). Interpersonal communication as an indirect pathway for the effect of antismoking media content on smoking cessation. Journal of Health Communication, 16(5), 470–485. https://doi.org/10.1080/10810730.2010.546487.CrossRef

van Steen, Y., Ntarladima, A.-M., Grobbee, R., Karssenberg, D., & Vaartjes, I. (2018). Sex differences in mortality after heat waves: are elderly women at higher risk? International Archives of Occupational and Environmental Health. https://doi.org/10.1007/s00420-018-1360-1.

Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. https://doi.org/10.1177/109442810031002.CrossRef

Vandentorren, S., Bretin, P., Zeghnoun, A., Mandereau Bruno, L., Croisier, A., Cochet, C., et al. (2006). August 2003 heat wave in France: risk factors for death of elderly people living at home. European Journal of Public Health, 16(6), 583–591. https://doi.org/10.1093/eurpub/ckl063.CrossRef

Wang, C., Zhang, J., Cao, J., Hu, H., & Yu, P. (2019). The influence of environmental background on tourists’ environmentally responsible behaviour. Journal of Environmental Management, 231, 804–810. https://doi.org/10.1016/j.jenvman.2018.10.089.CrossRef

World Health Organization. (2018). Changement climatique et santé. World Health Organization. http://www.who.int/fr/news-room/fact-sheets/detail/climate-change-and-health. Accessed 7 August 2018.

Zoellner, J. M., Porter, K. J., Chen, Y., Hedrick, V. E., You, W., Hickman, M., & Estabrooks, P. A. (2017). Predicting sugar-sweetened behaviours with theory of planned behaviour constructs: outcome and process results from the SIPsmartER behavioural intervention. Psychology & Health, 32(5), 509–529. https://doi.org/10.1080/08870446.2017.1283038.CrossRef

Title: Using the theory of planned behavior to identify key beliefs underlying heat adaptation behaviors in elderly populations
Authors: Pierre Valois
Denis Talbot
David Bouchard
Jean-Sébastien Renaud
Maxime Caron
Magalie Canuel
Natacha Arrambourg
Publication date: 20-05-2020
Publisher: Springer Netherlands
Published in: Population and Environment / Issue 4/2020
Print ISSN: 0199-0039
Electronic ISSN: 1573-7810
DOI: https://doi.org/10.1007/s11111-020-00347-5

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