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Understanding global dementia burden: Ageing and dairy supply as key predictors of total, male and female dementia incidence

dc.contributor.authorYou, Wenpeng
dc.contributor.authorHenneberg, Maciej
dc.contributor.authorFeng, Shuhuan
dc.date.accessioned2026-07-06T06:24:55Z
dc.date.available2026-07-06T06:24:55Z
dc.date.issued2026-05-15
dc.identifier.issn1898-6773
dc.identifier.urihttp://hdl.handle.net/11089/58753
dc.description.abstractIntroductionDementia incidence is rising worldwide, driven largely by population ageing and demographic transition. Although dietary factors have been proposed as modifiable contributors, the role of dairy consumption remains unclear, with inconsistent findings across regions, populations, and product types. Study aim This study examined whether total dairy supply independently predicts dementia incidence at the population level after accounting for key demographic and socioeconomic indicators. Materials and methodsA global ecological analysis was conducted using data from 204 countries. Variables included dairy supply, dementia incidence (total, male, and female), ageing, gross domestic product adjusted for purchasing power parity (GDP PPP), Biological State Index, and urbanisation. Statistical analyses included Pearson and Spearman correlations, partial correlations, principal component analysis, and multivariable linear regression. Enter models were treated as the primary analyses, while stepwise regression was used as an exploratory model-reduction approach. ResultsDairy supply showed significant positive correlations with total dementia incidence (r = 0.54, p < 0.001) and with both male and female dementia incidence (r = 0.53, p < 0.001). Ageing showed the strongest associations across all outcomes (r = 0.73–0.78). In the primary multivariable models, ageing remained the strongest independent predictor of total, male, and female dementia incidence. After adjustment, dairy supply remained an independent predictor, with modest effect sizes for total (β = 0.209, p < 0.001), male (β = 0.190, p = 0.001), and female (β = 0.223, p < 0.001) dementia incidence. Urbanisation and genetic vulnerability were associated with dementia incidence at the bivariate level but were not independent predictors in the adjusted models. Exploratory stepwise analyses showed a similar pattern.ConclusionsAgeing remained the strongest global predictor of dementia incidence, while dairy supply showed an additional independent association. These findings suggest that nutritional transitions may interact with demographic ageing to shape global dementia patterns worldwide.en
dc.language.isoen
dc.publisherWydawnictwo Uniwersytetu Łódzkiegopl
dc.relation.ispartofseriesAnthropological Review;2en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectdairy supplyen
dc.subjectecological studyen
dc.subjectageingen
dc.subjectsocioeconomic developmenten
dc.subjectbiological state indexen
dc.subjecturbanisationen
dc.subjectglobal nutritional transitionen
dc.titleUnderstanding global dementia burden: Ageing and dairy supply as key predictors of total, male and female dementia incidenceen
dc.typeArticle
dc.page.number15-40
dc.contributor.authorAffiliationYou, Wenpeng - School of Medicine, Adelaide University, Adelaide, SA, Australiaen
dc.contributor.authorAffiliationHenneberg, Maciej - School of Medicine, Adelaide University, Adelaide, SA, Australiaen
dc.contributor.authorAffiliationFeng, Shuhuan - China Organic Food Certification Center, Beijing, Chinaen
dc.identifier.eissn2083-4594
dc.referencesAbu Hatab, A., Cavinato, M. E. R., & Lagerkvist, C. J. (2019). Urbanization, livestock systems and food security in developing countries: A systematic review of the literature. Food Security, 11(2), 279–299. https://doi.org/10.1007/s12571-019-00906-1en
dc.referencesAllender, S., Foster, C., Hutchinson, L., & Arambepola, C. (2008). Quantification of urbanization in relation to chronic diseases in developing countries: a systematic review [Review]. J Urban Health, 85(6), 938–951. https://doi.org/10.1007/s11524-008-9325-4en
dc.referencesAnderson, R. C., & Alpass, F. M. (2024). Effectiveness of dairy products to protect against cognitive decline in later life: A narrative review. Frontiers in Nutrition, 11, 1366949. https://doi.org/10.3389/fnut.2024.1366949en
dc.referencesAsia-Pacific Economic Cooperation. (2015). Member Economies-Asia-Pacific Economic Cooperation. http://www.apec.org [Accessed 26 November 2015]en
dc.referencesAsia Cooperation Dialogue. (2018). Member Countries. http://www.acddialogue.com [Accessed 18 October 2025]en
dc.referencesAtaei Kachouei, A., Singar, S., Wood, A., Flatt, J. D., Rosenkranz, S. K., Rosenkranz, R. R., & Akhavan, N. S. (2025). Cardiovascular Risk Factors, Alzheimer’s Disease, and the MIND Diet: A Narrative Review from Molecular Mechanisms to Clinical Outcomes. Nutrients, 17(14), 2328. https://doi.org/10.3390/nu17142328en
dc.referencesBalances, F. N. F. (2013). Description of Utilization Variables. Food and Agriculture Organization of the United Nations: Rome, Italy, 1–22.en
dc.referencesBeam, C. R., Kaneshiro, C., Jang, J. Y., Reynolds, C. A., Pedersen, N. L., & Gatz, M. (2018). Differences between women and men in incidence rates of dementia and Alzheimer’s disease. Journal of Alzheimer’s Disease, 64(4), 1077–1083. https://doi.org/10.3233/JAD-180141en
dc.referencesCámara, M., Giner, R. M., González-Fandos, E., López-García, E., Mañes, J., Portillo, M. P., Rafecas, M., Domínguez, L., & Martínez, J. A. (2021). Food-based dietary guidelines around the world: a comparative analysis to update AESAN scientific committee dietary recommendations. Nutrients, 13(9), 3131. https://doi.org/10.3390/nu13093131en
dc.referencesCambois, E., Duthé, G., & Meslé, F. (2023). Global trends in life expectancy and healthy life expectancy. In Oxford Research Encyclopedia of Global Public Health.en
dc.referencesCamfield, D. A., Owen, L., Scholey, A. B., Pipingas, A., & Stough, C. (2011). Dairy constituents and neurocognitive health in ageing. British Journal Of Nutrition, 106(2), 159–174. https://doi.org/10.1017/S0007114511000158en
dc.referencesChen, H., Dhana, K., Huang, Y., Huang, L., Tao, Y., Liu, X., Van Lent, D. M., Zheng, Y., Ascherio, A., & Willett, W. (2023). Association of the Mediterranean dietary approaches to stop hypertension intervention for neurodegenerative delay (MIND) diet with the risk of dementia. Journal of the American Medical Association Psychiatry, 80(6), 630–638. https://doi.org/10.1001/jamapsychiatry.2023.0800en
dc.referencesCipriani, G., Danti, S., Picchi, L., Nuti, A., & Fiorino, M. D. (2020). Daily functioning and dementia. Dementia & Neuropsychologia, 14(2), 93–102. https://doi.org/10.1590/1980-57642020dn14-020001en
dc.referencesComerford, K. B., Miller, G. D., Boileau, A. C., Masiello Schuette, S. N., Giddens, J. C., & Brown, K. A. (2021). Global review of dairy recommendations in food-based dietary guidelines. Frontiers in Nutrition, 8, 671999. https://doi.org/10.3389/fnut.2021.671999en
dc.referencesCuijpers, P., Griffin, J. W., & Furukawa, T. A. (2021). The lack of statistical power of subgroup analyses in meta-analyses: a cautionary note. Epidemiology and Psychiatric Sciences, 30, e78. https://doi.org/10.1017/S2045796021000664en
dc.referencesDelgado, C. L. (2003). Rising consumption of meat and milk in developing countries has created a new food revolution. The Journal of Nutrition, 133(11), 3907S–3910S. https://doi.org/10.1093/jn/133.11.3907Sen
dc.referencesDeng, Z., Xie, D., Cai, J., Jiang, J., Pan, D., Liao, H., Liu, X., Xu, Y., Li, H., & Shen, Q. (2023). Different types of milk consumption and the risk of dementia: analysis from a large-scale cohort study. Clinical Nutrition, 42(10), 2058–2067. https://doi.org/10.1016/j.clnu.2023.08.019en
dc.referencesEllouze, I., Sheffler, J., Nagpal, R., & Arjmandi, B. (2023). Dietary patterns and Alzheimer’s disease: An updated review linking nutrition to neuroscience. Nutrients, 15(14), 3204. https://doi.org/10.3390/nu15143204en
dc.referencesFabiani, R., La Porta, G., Li Cavoli, L., Rosignoli, P., & Chiavarini, M. (2023). Adherence to data-driven dietary patterns and lung cancer risk: a systematic review and dose-response meta-analysis. Nutrients, 15(20), 4406. https://doi.org/10.3390/nu15204406en
dc.referencesFAO. (2025). FAOSTAT-Food Balance Sheet. Food and Agriculture Organization of the United Nations, FAOSTAT. Rome: FAO. http://faostat3.fao.org/ [Accessed 26 August 2025]en
dc.referencesFekete, M., Varga, P., Ungvari, Z., Fekete, J. T., Buda, A., Szappanos, Á., Lehoczki, A., Mózes, N., Grosso, G., & Godos, J. (2025). The role of the Mediterranean diet in reducing the risk of cognitive impairment, dementia, and Alzheimer’s disease: a meta-analysis. Geroscience, 1–20. https://doi.org/10.1007/s11357-024-01488-3en
dc.referencesFu, J., Tan, L.-J., Lee, J. E., & Shin, S. (2022). Association between the mediterranean diet and cognitive health among healthy adults: A systematic review and meta-analysis. Frontiers in Nutrition, 9, 946361. https://doi.org/10.3389/fnut.2022.946361en
dc.referencesGao, T., Li, Y., Niu, L., Wang, Z., Li, S., Niu, Y., Li, Y., Meng, Y., Gao, X., & Xu, X. (2025a). Dairy products intake and its association with cognitive function in older adults: a systematic review and dose-response meta-analysis. Clinical Nutrition. https://doi.org/10.1016/j.clnu.2025.09.020en
dc.referencesGao, Y., Liu, Y., Ma, T., Liang, Q., Sun, J., Wu, X., Song, Y., Nie, H., Huang, J., & Mu, G. (2025b). Fermented dairy products as precision modulators of gut microbiota and host health: mechanistic insights, clinical evidence, and future directions. Foods, 14(11), 1946. https://doi.org/10.3390/foods14111946en
dc.referencesGaziano, T. A., Bitton, A., Anand, S., Abrahams-Gessel, S., & Murphy, A. (2010). Growing epidemic of coronary heart disease in low-and middle-income countries. Current Problems in Cardiology, 35(2), 72–115. https://doi.org/10.1016/j.cpcardiol.2009.10.002en
dc.referencesGhosh, A., Gao, L., Thakur, A., Siu, P. M., & Lai, C. W. (2017). Role of free fatty acids in endothelial dysfunction. Journal of Biomedical Science, 24(1), 50. https://doi.org/10.1186/s12929-017-0357-5en
dc.referencesGiebel, C., Readman, M. R., Godfrey, A., Gray, A., Carton, J., & Polden, M. (2025). Geographical inequalities in dementia diagnosis and care: A systematic review. International Psychogeriatrics, 37(3), 100051. https://doi.org/10.1016/j.inpsyc.2025.100051en
dc.referencesGong, J., Harris, K., Lipnicki, D. M., Castro-Costa, E., Lima-Costa, M. F., Diniz, B. S., Xiao, S., Lipton, R. B., Katz, M. J., Wang, C., Preux, P-M., Guerchet, M., Gbessemehlan, A., Ritchie, K., Ancelin, M-L., Skoog, I., Najar, J., Rydberg Sterner, T., Scarmeas, N., Yannakoulia, M., Kosmidis, M. H., Guaita, A., Rolandi, E., Davin, A., Gureje, O., Trompet, S., Gussekloo, J., Riedel-Heller, S., Pabst, A., Röhr, S., Shahar, S., Devinder Kaur Ajit Singh, Nurul Fatin Malek Rivan, Martin van Boxtel, Sebastian Köhler, Mary Ganguli, Chang, C-C., Jacobsen, E., Haan, M., Ding, D., Zhao, Q., Xiao, Z., Narazaki, K., Chen, T., Chen, S., Pin Ng, T., Gwee, X., Numbers, K., Mather, K. A., Scazufca, M., Lobo, A., De-la-Cámara, C., Lobo, E., Sachdev, P. S., Brodaty, H., Hackett, M. L., Peters, S. A. E., Woodward, M., for the Cohort Studies of Memory in an International Consortium (COSMIC) (2023). Sex differences in dementia risk and risk factors: individual‐participant data analysis using 21 cohorts across six continents from the COSMIC consortium. Alzheimer’s & Dementia, 19(8), 3365–3378. https://doi.org/10.1002/alz.12962en
dc.referencesHan, S.-L., Liu, D.-C., Tan, C.-C., Tan, L., & Xu, W. (2023). Male-and female-specific reproductive risk factors across the lifespan for dementia or cognitive decline: a systematic review and meta-analysis. BMC Medicine, 21(1), 457. https://doi.org/10.1186/s12916-023-03159-0en
dc.referencesHuque, H., Eramudugolla, R., Chidiac, B., Ee, N., Ehrenfeld, L., Matthews, F. E., Peters, R., & Anstey, K. J. (2023). Could country-level factors explain sex differences in dementia incidence and prevalence? A systematic review and meta-analysis. Journal of Alzheimer’s Disease, 91(4), 1231–1241. https://doi.org/10.3233/JAD-220724en
dc.referencesIHME. (2023). GBD Results. Institute for Health Metrics and Evaluation. https://vizhub.healthdata.org/gbd-results/ [Accessed 12 September 2025]en
dc.referencesJacobs Jr, D. R., & Steffen, L. M. (2003). Nutrients, foods, and dietary patterns as exposures in research: a framework for food synergy. The American Journal of Clinical Nutrition, 78(3), 508S–513S. https://doi.org/10.1093/ajcn/78.3.508sen
dc.referencesKasselman, L. J., Peltier, M. R., De Leon, J., & Reiss, A. B. (2024). Cognitive function and the consumption of probiotic foods: a national health and nutrition examination survey study. Nutrients, 16(21), 3631. https://doi.org/10.3390/nu16213631en
dc.referencesKim, J., Basak, J. M., & Holtzman, D. M. (2009). The role of apolipoprotein E in Alzheimer’s disease. Neuron, 63(3), 287–303. https://doi.org/10.1016/j.neuron.2009.06.026en
dc.referencesLee, J., Fu, Z., Chung, M., Jang, D.-J., & Lee, H.-J. (2018). Role of milk and dairy intake in cognitive function in older adults: a systematic review and meta-analysis. Nutrition Journal, 17(1), 82. https://doi.org/10.1186/s12937-018-0387-1en
dc.referencesLi, H., Li, S., Yang, H., Zhang, Y., Zhang, S., Ma, Y., Hou, Y., Zhang, X., Niu, K., & Borné, Y. (2022). Association of ultraprocessed food consumption with risk of dementia: a prospective cohort study. Neurology, 99(10), e1056–e1066. https://doi.org/10.1212/WNL.0000000000200871en
dc.referencesLourida, I., Hannon, E., Littlejohns, T. J., Langa, K. M., Hyppönen, E., Kuźma, E., & Llewellyn, D. J. (2019). Association of lifestyle and genetic risk with incidence of dementia. Journal of the American Medical Association, 322(5), 430–437. https://doi.org/10.1001/jama.2019.9879en
dc.referencesLourida, I., Soni, M., Thompson-Coon, J., Purandare, N., Lang, I. A., Ukoumunne, O. C., & Llewellyn, D. J. (2013). Mediterranean diet, cognitive function, and dementia: a systematic review. Epidemiology, 24(4), 479–489. https://doi.org/10.1097/EDE.0b013e3182944410en
dc.referencesMollalo, A., Kramer, M., Cutty, M., & Hoseini, B. (2025). Systematic review and meta-analysis of rural-urban disparities in Alzheimer’s disease dementia prevalence. The Journal of Prevention of Alzheimer’s Disease, 100305. https://doi.org/10.1016/j.tjpad.2025.100305en
dc.referencesMorris, M. C., Tangney, C. C., Wang, Y., Sacks, F. M., Barnes, L. L., Bennett, D. A., & Aggarwal, N. T. (2015). MIND diet slows cognitive decline with aging. Alzheimer’s & Dementia, 11(9), 1015–1022. https://doi.org/10.1016/j.jalz.2015.04.011en
dc.referencesMosconi, L., Murray, J., Tsui, W., Li, Y., Davies, M., Williams, S., Pirraglia, E., Spector, N., Osorio, R., & Glodzik, L. (2014). Mediterranean diet and magnetic resonance imaging-assessed brain atrophy in cognitively normal individuals at risk for Alzheimer’s disease. The Journal of Prevention of Alzheimer’s Disease, 1(1), 23.en
dc.referencesMurray, C. J., & Frenk, J. (2008). Health metrics and evaluation: strengthening the science. The Lancet, 371(9619), 1191–1199. https://doi.org/10.1016/S0140-6736(08)60526-7en
dc.referencesNichols, E., Steinmetz, J. D., Vollset, S. E., Fukutaki, K., Chalek, J., Abd-Allah, F., Abdoli, A., Abualhasan, A., Abu-Gharbieh, E., & Akram, T. T. (2022). Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019. The Lancet Public Health, 7(2), e105–e125. https://doi.org/10.1016/S2468-2667(21)00249-8en
dc.referencesNorwitz, N. G., Saif, N., Ariza, I. E., & Isaacson, R. S. (2021). Precision nutrition for Alzheimer’s prevention in ApoE4 carriers. Nutrients, 13(4), 1362. https://doi.org/10.3390/nu13041362en
dc.referencesOECD. (2015). List of OECD Member countries. http://www.oecd.org [Accessed 20 October 2025]en
dc.referencesO’Shea, D. M., Zhang, A. S., Rader, K., Shakour, R. L., Besser, L., & Galvin, J. E. (2024). APOE ε4 carrier status moderates the effect of lifestyle factors on cognitive reserve. Alzheimer’s & Dementia, 20(11), 8062–8073. https://doi.org/10.1002/alz.14304en
dc.referencesOtaegui-Arrazola, A., Amiano, P., Elbusto, A., Urdaneta, E., & Martínez-Lage, P. (2014). Diet, cognition, and Alzheimer’s disease: food for thought. European Journal of Nutrition, 53(1), 1–23. https://doi.org/10.1007/s00394-013-0561-3en
dc.referencesPongutta, S. (2025). Undernutrition and Overnutrition in Thailand: A Double Burden. In Handbook of Public Health Nutrition: International, National, and Regional Perspectives (pp. 1–36). Springer.en
dc.referencesSmith, S., Ralston, J., & Taubert, K. (2012). Urbanization and cardiovascular disease. Raising heart-healthy children in today’s cities The World Heart Federation. https://world-heart-federation.org/wp-content/uploads/2017/05/FinalWHFUrbanizationLoResWeb.pdf [Accessed 24 December 2024]en
dc.referencesSouthern African Development Community. (2015). Southern African Development Community: Member States. http://www.sadc.int [Accessed 18 October 2015]en
dc.referencesStocker, H., Möllers, T., Perna, L., & Brenner, H. (2018). The genetic risk of Alzheimer’sen
dc.referencesdisease beyond APOE ε4: systematic review of Alzheimer’s genetic risk scores. Translational Psychiatry, 8(1), 166. https://doi.org/10.1038/s41398-018-0221-8en
dc.referencesSuzuki, T., Osuka, Y., Kojima, N., Sasai, H., Nakamura, K., Oba, C., Sasaki, M., & Kim, H. (2024). Association between the Intake/Type of Cheese and Cognitive Function in Community-Dwelling Olderen
dc.referencesWomen in Japan: A Cross-Sectional Cohort Study. Nutrients, 16(16), 2800. https://doi.org/10.3390/nu16162800en
dc.referencesTalukdar, D., Seenivasan, S., Cameron, A. J., & Sacks, G. (2020). The association between national income and adult obesity prevalence: Empirical insights into temporal patterns and moderators of the association using 40 years of data across 147 countries. PLoS One, 15(5), e0232236. https://doi.org/10.1371/journal.pone.0232236en
dc.referencesTan, B. L., & Norhaizan, M. E. (2019). Effect of high-fat diets on oxidative stress, cellular inflammatory response and cognitive function. Nutrients, 11(11), 2579. https://doi.org/10.3390/nu11112579en
dc.referencesThe United Nations Educational Scientific and Cultural Organization. (2014). UNESCO Regions-Latin America and the Caribbean. http://www.unesco.org [Accessed 11 September 2015]en
dc.referencesThe World Bank. (2015). Arab World | Data. The World Bank. http://data.worldbank.org/region/ARB [Accessed 20 October 2025]en
dc.referencesThe World Bank. (2018). Indicators | Data. https://data.worldbank.org/indicator [Accessed 21 October 2025]en
dc.referencesThe World Bank. (2022a). How does the World Bank classify countries? The World Bank. https://datahelpdesk.worldbank.org/knowledgebase/articles/378834-how-does-the-world-bank-classify-countries [Accessed 24 September 2025]en
dc.referencesThe World Bank. (2022b). Life expectancy at birth, total (years). https://data.worldbank.org/indicator/SP.DYN.LE00.IN [Accessed 5 September 2025]en
dc.referencesTownsend, R., Fairley, A., Gregory, S., Ritchie, C., Stevenson, E., & Shannon, O. M. (2024). Nutrition for dementia prevention: a state of the art update for clinicians. Age and Ageing, 53(Supplement_2), ii30–ii38. https://doi.org/10.1093/ageing/afae030en
dc.referencesTse, J. H. W., Law, Q. P. S., Tsang, J. T. Y., Suen, L. K. P., Tyrovolas, S., & Kwan, R. Y. C. (2025). The association between the MIND diet and cognitive health in middle-aged and older adults: A systematic review. The Journal of Nutrition, Health and Aging, 29(9), 100630. https://doi.org/10.1016/j.jnha.2025.100630en
dc.referencesUnited Nations Statistics Division. (2013). Composition of macro geographical (continental) regions, geographical sub-regions, and selected economic and other groupings. http://unstats.un.org [Accessed 3 October 2021]en
dc.referencesValencia‐Olvera, A. C., Maldonado Weng, J., Christensen, A., LaDu, M. J., & Pike, C. J. (2023). Role of estrogen in women’s Alzheimer’s disease risk as modified by APOE. Journal of Neuroendocrinology, 35(2), e13209. https://doi.org/10.1111/jne.13209en
dc.referencesVauzour, D., Camprubi-Robles, M., Miquel-Kergoat, S., Andres-Lacueva, C., Bánáti, D., Barberger-Gateau, P., Bowman, G. L., Caberlotto, L., Clarke, R., & Hogervorst, E. (2017). Nutrition for the ageing brain: towards evidence for an optimal diet. Ageing Research Reviews, 35, 222–240. https://doi.org/10.1016/j.arr.2016.09.010en
dc.referencesVilloz, F., Filippini, T., Ortega, N., Kopp-Heim, D., Voortman, T., Blum, M. R., Del Giovane, C., Vinceti, M., Rodondi, N., & Chocano-Bedoya, P. O. (2024). Dairy intake and risk of cognitive decline and dementia: a systematic review and dose-response meta-analysis of prospective studies. Advances in Nutrition, 15(1), 100160. https://doi.org/10.1016/j.advnut.2023.100160en
dc.referencesWade, A. T., Davis, C. R., Dyer, K. A., Hodgson, J. M., Woodman, R. J., Keage, H. A., & Murphy, K. J. (2020). A Mediterranean diet supplemented with dairy foods improves mood and processing speed in an Australian sample: results from the MedDairy randomized controlled trial. Nutritional Neuroscience, 23(8), 646–658. https://doi.org/10.1080/1028415X.2018.1543148en
dc.referencesWang, X., Piantadosi, S., Le-Rademacher, J., & Mandrekar, S. J. (2021). Statistical considerations for subgroup analyses. Journal of Thoracic Oncology, 16(3), 375–380. https://doi.org/10.1016/j.jtho.2020.12.008en
dc.referencesWHO. (2012). World Health Statistics 2012. World Health Organization. https://www.who.int/docs/default-source/gho-documents/world-health-statistic-reports/world-health-statistics-2012.pdf [Accessed 20 October 2025]en
dc.referencesWHO. (2015). World Fertility Data 2008: Data. http://www.un.org/esa/population/publications/WFD%202008/WP_WFD_2008/Data.html [Accessed 19 October 2025]en
dc.referencesWHO. (2025a). Dementia. World Health Organization. https://www.who.int/news-room/fact-sheets/detail/dementia [Accessed 12 October 2025]en
dc.referencesWHO. (2025b). WHO regional offices. http://www.who.int [Accessed 26 August 2025]en
dc.referencesWorld Bank. (2022). How does the World Bank classify countries? The World Bank. https://datahelpdesk.worldbank.org/knowledgebase/articles/378834-how-does-the-world-bank-classify-countries [Accessed 24 December 2024]en
dc.referencesXu Lou, I., Ali, K., & Chen, Q. (2023). Effect of nutrition in Alzheimer’s disease: A systematic review. Frontiers in Neuroscience, 17, 1147177. https://doi.org/10.3389/fnins.2023.1147177en
dc.referencesXu, Z., Yu, D., Yin, X., Zheng, F., & Li, H. (2017). Socioeconomic status is associated with global diabetes prevalence. Oncotarget, 8(27), 44434. https://doi.org/10.18632/oncotarget.17902en
dc.referencesYassine, H. N., & Finch, C. E. (2020). APOE alleles and diet in brain aging and Alzheimer’s disease. Frontiers in Aging Neuroscience, 12, 150. https://doi.org/10.3389/fnagi.2020.00150en
dc.referencesYassine, H. N., Samieri, C., Livingston, G., Glass, K., Wagner, M., Tangney, C., Plassman, B. L., Ikram, M. A., Voigt, R. M., & Gu, Y. (2022). Nutrition state of science and dementia prevention: recommendations of the Nutrition for Dementia Prevention Working Group. The Lancet Healthy Longevity, 3(7), e501–e512. https://doi.org/10.1016/S2666-7568(22)00120-9en
dc.referencesYou, W. (2025a). Birth rate as a determinant of dementia incidence: a comprehensive global analysis. American Journal of Alzheimer’s Disease & Other Dementias®, 40, 01–11. https://doi.org/10.1177/15333175241287677en
dc.referencesYou, W. (2025b). Dementia risk and gender equality: global insights into social determinants. Nursing & Health Sciences, 27(3), e70230. https://doi.org/10.1111/nhs.70230en
dc.referencesYou, W. (2025c). Global patterns linking total meat supply to dementia incidence: A population-based ecological study. AIMS Neuroscience. https://doi.org/10.3934/Neuroscience.2025012en
dc.referencesYou, W., & Feng, S. (2025). Diet and dementia worldwide: the role of meat fat, meat protein, and development indicators. Journal of Dementia and Alzheimer’s Disease, 2(4), 43. https://doi.org/10.3390/jdad2040043en
dc.referencesYou, W., & Henneberg, M. (2016a). Meat consumption providing a surplus energy in modern diet contributes to obesity prevalence: an ecological analysis. BMC Nutrition, 2(1), 1–11. https://doi.org/10.1186/s40795-016-0063-9en
dc.referencesYou, W., & Henneberg, M. (2016b). Meat in modern diet, just as bad as sugar, correlates with worldwide obesity: an ecological analysis. Journal of Nutrition & Food Sciences, 6(517), 4. https://doi.org/10.4172/2155-9600.1000517en
dc.referencesYou, W., Henneberg, R., & Henneberg, M. (2022). Healthcare services relaxing natural selection may contribute to increase of dementia incidence. Scientific Reports, 12(1), 1–10. https://doi.org/10.1038/s41598-022-12678-4en
dc.referencesYou, W., Koo, F. K., Ge, Y., & Sevastidis, J. (2025). Reevaluating the role of biological aging in dementia: A retrospective cross-sectional global analysis incorporating confounding factors. Geriatric Nursing, 63, 643–651. https://doi.org/10.1016/j.gerinurse.2025.04.023en
dc.contributor.authorEmailYou, Wenpeng - wenpeng.you@adelaide.edu.au
dc.contributor.authorEmailHenneberg, Maciej - maciej.henneberg@adelaide.edu.au
dc.contributor.authorEmailFeng, Shuhuan - fengshuhuan@ofcc.org.cn
dc.identifier.doi10.18778/1898-6773.89.2.02
dc.relation.volume89


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