Preston, S.H., The changing relation between mortality and level of economic development, Populat. Stud., 1975, vol. 29, no. 2, pp. 231–248. https://doi.org/10.1080/00324728.1975.10410201

Article  CAS  Google Scholar 

Bloom, D.E. and Canning, D., Commentary: The Preston curve 30 years on: Still sparking fires, Int. J. Epidemiol., 2007, vol. 36, no. 3, pp. 498–499. https://doi.org/10.1093/ije/dym079

Article  PubMed  Google Scholar 

Prados de la Escosura, L., Health, income, and the Preston curve: A long view, Econom. Hum. Biol., 2023, vol. 48, p. 101212.https://doi.org/10.1016/j.ehb.2022.101212

Article  Google Scholar 

Zaitseva, N., Onishchenko, G., Popova, A.Y., Kleyn, S., Kiryanov, D., and Glukhikh, M., Social and economic determinants and potential for growth in life expectancy of the population in the Russian Federation taking into account regional differentiation, Health Risk Anal., 2019, no. 4, pp. 14–29. https://doi.org/10.21668/health.risk/2019.4.02.eng

Magnan, S., Gold, M., and Isham, G., Healthier people: Setting targets for life expectancy and health care expenditures, Am. J. Public Health, 2020, vol. 110, no. 12, pp. 1733–1734. https://doi.org/10.2105/ajph.2020.305976

Article  PubMed  PubMed Central  Google Scholar 

Zheng, Y., Xue, T., Zhao, H., and Lei, Y., Increasing life expectancy in China by achieving its 2025 air quality target, Environ. Sci. Ecotechnol., 2022, vol. 12, 100203. https://doi.org/10.1016/j.ese.2022.100203

Article  CAS  PubMed  PubMed Central  Google Scholar 

Shanahan, L. and Copeland, W.E., A deadly drop in rankings: How the United States was left behind in global life expectancy trends, Am. J. Public Health, 2023, vol. 113, no. 9, pp. 961–963. https://doi.org/10.2105/ajph.2023.307367

Article  PubMed  PubMed Central  Google Scholar 

Golubev, A.G., Where does the Preston curve lead us?, Adv. Gerontol., 2019, vol. 9, no. 2, pp. 115–125. https://doi.org/10.1134/S2079057019020103

Article  Google Scholar 

Shkolnikov, V.M., Andreev, E.M., Tursun-zade, R., and Leon, D.A., Patterns in the relationship between life expectancy and gross domestic product in Russia in 2005–2013: A cross-sectional analysis, Lancet Public Health, 2019, vol. 4, no. 4, pp. e181–e188. https://doi.org/10.1016/S2468-2667(19)30036-2

Article  PubMed  PubMed Central  Google Scholar 

Wang, S., Luo, K., Liu, Y., Zhang, S., Lin, X., Ni, R., et al., Economic level and human longevity: Spatial and temporal variations and correlation analysis of per capita GDP and longevity indicators in China, Arch. Gerontol. Geriatr., 2015, vol. 61, no. 1, pp. 93–102. https://doi.org/10.1016/j.archger.2015.03.004

Article  PubMed  Google Scholar 

Edwards, R.B., Mining away the Preston curve, World Development, 2016, vol. 78, no. 1, pp. 22–36. https://doi.org/10.1016/j.worlddev.2015.10.013

Article  Google Scholar 

Lutz, W. and Kebede, E., Education and health: Redrawing the Preston curve, Populat. Develop. Rev., 2018, vol. 44, no. 2, pp. 343–361. https://doi.org/10.1111/padr.12141

Article  Google Scholar 

Freeman, T., Gesesew, H.A., Bambra, C., Giugliani, E.R.J., Popay, J., Sanders, D., et al., Why do some countries do better or worse in life expectancy relative to income? An analysis of Brazil, Ethiopia, and the United States of America, Int. J. Equity Health., 2020, vol. 19, no. 1, p. 202. https://doi.org/10.1186/s12939-020-01315-z

Article  PubMed  PubMed Central  Google Scholar 

Salehnia, N., Karimi Alavijeh, N., and Hamidi, M., Analyzing the impact of energy consumption, the democratic process, and government service delivery on life expectancy: Evidence from a global sample, Environ. Sci. Pollut. Res., 2022, vol. 29, no. 24, pp. 36967–36984. https://doi.org/10.1007/s11356-021-18180-0

Article  Google Scholar 

Mimi, M.B., Kibria, M.G., and Selim, M.M.I., How do economic, health, environmental and demographic factors affect life expectancy?—A novel attempt for developed and developing economies, Int. J. Sustain. Develop. World Ecol., 2024, vol. 31, no. 7, pp. 776–791. https://doi.org/10.1080/13504509.2024.2335269

Article  Google Scholar 

Matus, J.C., A comparison of country’s cultural dimensions and health outcomes, Healthcare (Basel, Switzerland), 2021, vol. 9, no. 12, p. 1654. https://doi.org/10.3390/healthcare9121654

Article  PubMed  Google Scholar 

Golubev, A.G., Greenhouse gases, culture traditions and life expectancy: History and geography, Biosfera, 2012, vol. 4, no. 4, pp. 474–487. www.researchgate.net/publication/271542447_Greenhouse_ga-ses_culture_traditions_and_life_expectancy_history_and_ geography.

Hirokawa, K., Kasuga, A., Gøndo, Y., Honjo, K., and Taras, V., Hofstede’s cultural values and birth rate and longevity: A national-level analysis, J. Adult Develop., 2024, vol. 31, no. 2, pp. 87–98. https://doi.org/10.1007/s10804-023-09457-4

Article  Google Scholar 

Pianka, E.R., On r- and K-selection, Am. Naturalist., 1970, vol. 104, no. 940, pp. 592–597. https://doi.org/10.1086/282697

Article  Google Scholar 

Sæther, B.-E., Visser, M.E., Grøtan, V., and Engen, S., Evidence for r- and K-selection in a wild bird population: A reciprocal link between ecology and evolution, Proc. Roy. Soc. B: Biol. Sci., 2016, vol. 283, no. 1829, p. 20152411. https://doi.org/10.1098/rspb.2015.2411

Hofstede, G., Dimensionalizing cultures: The Hofstede model in context, Online Readings in Psychology and Culture, 2011, vol. 2, no. 1, p. 8. https://scholarworks.gvsu.edu/orpc/vol2/iss1/8/?&ei=9owuVLrgCIfXaqzngIgJ&sa=U.

Article  Google Scholar 

Hofstede, G. and McCrae, R.R., Personality and culture revisited: Linking traits and dimensions of culture, Cross-Cultural Res., 2004, vol. 38, no. 1, pp. 52–88. https://doi.org/10.1177/1069397103259443

Article  Google Scholar 

Maleki, A. and de Jong, M., A proposal for clustering the dimensions of national culture, Cross-Cultural Res., 2014, vol. 48, no. 2, pp. 107–143. https://doi.org/10.1177/1069397113510268

Article  Google Scholar 

Tarabar, D., Does national culture change as countries develop? Evidence from generational cleavages, J. Institut. Econ., 2018, vol. 15, no. 3, pp. 397–412. https://doi.org/10.1017/S1744137418000280

Article  Google Scholar 

Minkov, M. and Kaasa, A., Do dimensions of culture exist objectively? A validation of the revised Minkov–Hofstede model of culture with World Values Survey items and scores for 102 countries, J. Int. Manag., 2022, vol. 28, no. 44, p. 100971. https://doi.org/10.1016/j.intman.2022.100971

Article  Google Scholar 

Pasin, G.L., Szekely, A., Eriksson, K., Guido, A., di Sorrentino, E.P., and Andrighetto, G., Evidence from 43 countries that disease leaves cultures unchanged in the short-term, Sci. Rep., 2024, vol. 14, no. 1, p. 6502. https://doi.org/10.1038/s41598-023-33155-6

Article  CAS  PubMed  PubMed Central  Google Scholar 

Kim, S., ppcor: An R package for a fast calculation to semi-partial correlation coefficients, Commun. Stat. Appl. Methods, 2015, vol. 22, no. 6, pp. 665–674. https://doi.org/10.1038/s41598-023-33155-6

Article  CAS  PubMed  PubMed Central  Google Scholar 

Rocha, P., Cultural correlates of personality: A global perspective with insights from 22 nations, Cross-Cultural Res., 2024, 10693971241264363. https://doi.org/10.1177/10693971241264363

Kyriopoulos, I., Vandoros, S., and Kawachi, I., State-level economic uncertainty and cardiovascular disease deaths: Evidence from the United States, Eur. J. Epidemiol., 2023, vol. 38, no. 11, pp. 1175–1183. https://doi.org/10.1007/s10654-023-01076-3

Article  PubMed  PubMed Central  Google Scholar 

Lawrie, S.I., Eom, K., Moza, D., Gavreliuc, A., and Kim, H.S., Cultural variability in the association between age and well-being: The role of uncertainty avoidance, Psychol. Sci., 2020, vol. 31, no. 1, pp. 51–64. https://doi.org/10.1177/0956797619887348

Article  PubMed  Google Scholar 

Pruchno, R., Sands, L.P., Cartwright, F.P., Rose, M., and Zhu, X., Subjective successful aging predicts probability of mortality over 9 years among adults aged 50–74, Gerontologist, 2023, vol. 64, no. 7, gnad148. https://doi.org/10.1093/geront/gnad148

Gaygisiz, E., Cultural values and governance quality as correlates of road traffic fatalities: A nation level analysis, Accid. Anal. Prev., 2010, vol. 42, no. 6, pp. 1894–1901. https://doi.org/10.1016/j.aap.2010.05.010

Article  PubMed  Google Scholar 

Tam, L.M., Hocker, K., David, T., and Williams, E.M., The influence of social dynamics on biological aging and the health of historically marginalized populations: A biopsychosocial model for health disparities, Int. J. Environ. Res. Publ. Health, 2024, vol. 21, no. 5, p. 554. https://doi.org/10.3390/ijerph21050554

Article  Google Scholar 

Golubev, A.G., The issue of the feasibility of a general theory of aging. III. Theory and practice of aging, Adv. Gerontol., 2012, vol. 2, no. 2, pp. 109–119. https://doi.org/10.1134/S207905701206001X

Article  Google Scholar 

Golubev, A., An underappreciated peculiarity of late-life human mortality kinetics assessed through the lens of a generalization of the Gompertz–Makeham law, Biogerontology, 2024, vol. 25, no. 3, pp. 479–490. https://doi.org/10.1007/s10522-023-10079-2

Article  CAS  PubMed  Google Scholar 

Kamp, B., Gibaja, J.J., San Martin, J., and Turiel, I., Adoption of measures to mitigate the impact of COVID-19: In search of a Hofstedian explanation for patterns among individual countries and country clusters, Safety Sci., 2023, vol. 157, no. 3, p. 105902. https://doi.org/10.1016/j.ssci.2022.105902

Article  Google Scholar 

Wursten, H. and Jacobs, C., The 6 culture clusters and healthcare, J. Intercult. Manag. Ethics, 2019, vol. 2, no