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Background

Dietary patterns are crucial for maintaining cognitive health among older people and can be modified through lifestyle interventions. We investigated the associations between dietary patterns, changes in these patterns over time, and cognitive function.

Methods

This cohort study utilized data from the Chinese Longitudinal Healthy Longevity Survey conducted between 2005 and 2014. The sample included 7472 participants (mean age: 81.45 ± 10.88 years). Dietary patterns were derived using cluster analysis. Cognitive function was assessed using the Mini‐Mental State Examination (MMSE). The relationships between dietary patterns/changes, MMSE scores, changes in MMSE scores, and cognitive impairment were analyzed using the generalized estimating equation method, linear regression, and logistic regression.

Results

Cluster analysis identified three major dietary patterns: balanced diet, relatively balanced diet, and unbalanced diet. Mean MMSE scores decreased from 24.71 ± 7.24 in 2005 to 22.22 ± 9.29 in 2008, then increased to 24.10 ± 7.76 in 2014. Participants who adhered to balanced diet patterns exhibited significantly higher MMSE scores (1.56; 95% confidence interval: 1.34, 1.78) than those who followed unbalanced diet patterns. This association was particularly prominent among older individuals, women, individuals with no education, and underweight individuals. Participants with relatively balanced or balanced diets showed a significantly lower risk of cognitive impairment (adjusted odds ratio (OR) = 0.72, 95% CI: 0.65, 0.80; OR = 0.47, 95% CI: 0.42, 0.53, respectively) than those with unbalanced diets. Transitioning from an unhealthy diet to a healthy diet was associated with a smaller decline in MMSE scores and reduced risk of cognitive impairment.

Conclusions

These findings emphasize the importance of balanced or relatively balanced diets in preserving cognitive health in older individuals. These patterns relate to better MMSE scores and reduced cognitive impairment risk. Shifting from unhealthy to healthy diets is linked to improved MMSE scores and lower cognitive impairment risk. These results underscore the importance of dietary interventions in mitigating cognitive decline in older adults. Further research is warranted to understand the underlying mechanisms and develop targeted strategies for promoting healthy dietary habits in this population.


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Association of dietary patterns with cognitive function in older people: Results from the Chinese longitudinal healthy longevity survey

Show Author's information Haiqing Zheng1,Huixian Li1,Lingcong Kong1Xueli Zhang2Yunfei Gao2Lianting Hu1( )Xianwen Shang3( )Huiying Liang1 ( )
Medical Big Data Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
Medical Research Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China

Haiqing Zheng and Huixian Li contributed equally to this work.

Abstract

Background

Dietary patterns are crucial for maintaining cognitive health among older people and can be modified through lifestyle interventions. We investigated the associations between dietary patterns, changes in these patterns over time, and cognitive function.

Methods

This cohort study utilized data from the Chinese Longitudinal Healthy Longevity Survey conducted between 2005 and 2014. The sample included 7472 participants (mean age: 81.45 ± 10.88 years). Dietary patterns were derived using cluster analysis. Cognitive function was assessed using the Mini‐Mental State Examination (MMSE). The relationships between dietary patterns/changes, MMSE scores, changes in MMSE scores, and cognitive impairment were analyzed using the generalized estimating equation method, linear regression, and logistic regression.

Results

Cluster analysis identified three major dietary patterns: balanced diet, relatively balanced diet, and unbalanced diet. Mean MMSE scores decreased from 24.71 ± 7.24 in 2005 to 22.22 ± 9.29 in 2008, then increased to 24.10 ± 7.76 in 2014. Participants who adhered to balanced diet patterns exhibited significantly higher MMSE scores (1.56; 95% confidence interval: 1.34, 1.78) than those who followed unbalanced diet patterns. This association was particularly prominent among older individuals, women, individuals with no education, and underweight individuals. Participants with relatively balanced or balanced diets showed a significantly lower risk of cognitive impairment (adjusted odds ratio (OR) = 0.72, 95% CI: 0.65, 0.80; OR = 0.47, 95% CI: 0.42, 0.53, respectively) than those with unbalanced diets. Transitioning from an unhealthy diet to a healthy diet was associated with a smaller decline in MMSE scores and reduced risk of cognitive impairment.

Conclusions

These findings emphasize the importance of balanced or relatively balanced diets in preserving cognitive health in older individuals. These patterns relate to better MMSE scores and reduced cognitive impairment risk. Shifting from unhealthy to healthy diets is linked to improved MMSE scores and lower cognitive impairment risk. These results underscore the importance of dietary interventions in mitigating cognitive decline in older adults. Further research is warranted to understand the underlying mechanisms and develop targeted strategies for promoting healthy dietary habits in this population.

Keywords: cognitive function, cluster analysis, older people, dietary patterns, mini‐mental state examination

References(49)

[1]

Jia L, Du Y, Chu L, Zhang Z, Li F, Lyu D, et al. Prevalence, risk factors, and management of dementia and mild cognitive impairment in adults aged 60 years or older in China: a cross‐sectional study. Lancet Public Health. 2020;5(12):e661–71. https://doi.org/10.1016/S2468-2667(20)30185-7

[2]

Boyle PA, Wang T, Yu L, Wilson RS, Dawe R, Arfanakis K, et al. To what degree is late life cognitive decline driven by age‐related neuropathologies? Brain. 2021;144(7):2166–75. https://doi.org/10.1093/brain/awab092

[3]

Livingston G, Huntley J, Sommerlad A, Ames D, Ballard C, Banerjee S, et al. Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. Lancet. 2020;396(10248):413–46. https://doi.org/10.1016/S0140-6736(20)30367-6

[4]

Dhana K, Franco OH, Ritz EM, Ford CN, Desai P, Krueger KR, et al. Healthy lifestyle and life expectancy with and without Alzheimer's dementia: population based cohort study. BMJ. 2022;377: e068390. https://doi.org/10.1136/bmj-2021-068390

[5]

Scarmeas N, Anastasiou CA, Yannakoulia M. Nutrition and prevention of cognitive impairment. Lancet Neurol. 2018;17(11):1006–15. https://doi.org/10.1016/S1474-4422(18)30338-7

[6]

Scott TM, Rasmussen HM, Chen O, Johnson EJ. Avocado consumption increases macular pigment density in older adults: a randomized, controlled trial. Nutrients. 2017;9(9):919. https://doi.org/10.3390/nu9090919

[7]

Chen H, Liu S, Ge B, Zhou D, Li M, Li W, et al. Effects of folic acid and vitamin B12 supplementation on cognitive impairment and inflammation in patients with Alzheimer's disease: a randomized, single‐blinded, placebo‐controlled trial. J Prev Alzheimers Dis. 2021;8(3):249–56. https://doi.org/10.14283/jpad.2021.22

[8]

Valls‐Pedret C, Sala‐Vila A, Serra‐Mir M, Corella D, de la Torre R, Martinez‐Gonzalez MA, et al. Mediterranean diet and age‐related cognitive decline: a randomized clinical trial. JAMA Intern Med. 2015;175(7):1094–1103. https://doi.org/10.1001/jamainternmed.2015.1668

[9]

Trichopoulou A, Kyrozis A, Rossi M, Katsoulis M, Trichopoulos D, La Vecchia C, et al. Mediterranean diet and cognitive decline over time in an elderly Mediterranean population. Eur J Nutr. 2015;54(8):1311–21. https://doi.org/10.1007/s00394-014-0811-z

[10]

van de Rest O, Berendsen AA, Haveman‐Nies A, de Groot LC. Dietary patterns, cognitive decline, and dementia: a systematic review. Adv Nutr. 2015;6(2):154–68. https://doi.org/10.3945/an.114.007617

[11]

Yassine HN, Samieri C, Livingston G, Glass K, Wagner M, Tangney C, et al. Nutrition state of science and dementia prevention: recommendations of the nutrition for dementia prevention working group. Lancet Healthy Longev. 2022;3(7):e501–12. https://doi.org/10.1016/s2666-7568(22)00120-9

[12]

Qin B, Adair LS, Plassman BL, Batis C, Edwards LJ, Popkin BM, et al. Dietary patterns and cognitive decline among Chinese older adults. Epidemiology. 2015;26(5):758–68. https://doi.org/10.1097/EDE.0000000000000338

[13]

Richard EL, Laughlin GA, Kritz‐Silverstein D, Reas ET, Barrett‐Connor E, McEvoy LK. Dietary patterns and cognitive function among older community‐dwelling adults. Nutrients. 2018;10(8):1088. https://doi.org/10.3390/nu10081088

[14]

McEvoy CT, Hoang T, Sidney S, Steffen LM, Jacobs DR, Jr., Shikany JM, et al. Dietary patterns during adulthood and cognitive performance in midlife: the CARDIA study. Neurology. 2019;92(14):e1589–99. https://doi.org/10.1212/WNL.0000000000007243

[15]

Moustafa B, Trifan G, Isasi CR, Lipton RB, Sotres‐Alvarez D, Cai J, et al. Association of mediterranean diet with cognitive decline among diverse hispanic or latino adults from the hispanic community health study/study of latinos. JAMA Netw Open. 2022;5(7):e2221982. https://doi.org/10.1001/jamanetworkopen.2022.21982

[16]

Zeng Y, Feng Q, Hesketh T, Christensen K, Vaupel JW. Survival, disabilities in activities of daily living, and physical and cognitive functioning among the oldest‐old in China: a cohort study. Lancet. 2017;389(10079):1619–29. https://doi.org/10.1016/S0140-6736(17)30548-2

[17]

Zhao WH, Huang ZP, Zhang X, He L, Willett W, Wang JL, et al. Food frequency questionnaire for Chinese children aged 12‐17 Years: validity and reliability. Biomed Environ Sci. 2010;23: 1–38. https://doi.org/10.1016/S0895-3988(11)60014-7

[18]
Thorndike RL. Who belongs to your family? 1953. Available on: https://www.ncbi.nlm.nih.gov/pubmed/16398278. accessed on 1 April 2023.
[19]

Katzman R, Zhang MY, Ouang Ya Q, Wang ZY, Liu WT, Yu E, et al. A Chinese version of the Mini‐Mental State Examination; impact of illiteracy in a Shanghai dementia survey. J Clin Epidemiol. 1988;41(10):971–8. https://doi.org/10.1016/0895-4356(88)90034-0

[20]

Zhang Z, Gu D, Hayward MD. Childhood nutritional deprivation and cognitive impairment among older Chinese people. Soc Sci Med. 2010;71(5):941–9. https://doi.org/10.1016/j.socscimed.2010.05.013

[21]

Zhang MY, Katzman R, Salmon D, Jin H, Cai GJ, Wang ZY, et al. The prevalence of dementia and Alzheimer's disease in Shanghai, China: impact of age, gender, and education. Ann Neurol. 1990;27(4):428–37. https://doi.org/10.1002/ana.410270412

[22]

Crum RM, Anthony JC, Bassett SS, Folstein MF. Population‐based norms for the Mini‐Mental State Examination by age and educational level. JAMA. 1993;269(18):2386–91. https://doi.org/10.1001/jama.269.18.2386

[23]

Wu SC, Leu SY, Li CY. Incidence of and predictors for chronic disability in activities of daily living among older people in Taiwan. J Am Geriatr Soc. 1999;47(9):1082–6. https://doi.org/10.1111/j.1532-5415.1999.tb05231.x

[24]

Twisk JWR. Applied longitudinal data analysis for epidemiology: a practical guide. Cambridge: Cambridge University Press; 2003.

[25]

Sun K, Hu H, Yang C, Wang L, Ai Y, Dong X, et al. Dietary intake is positively associated with cognitive function of a Chinese older adults sample. J Nutr Health Aging. 2018;22(7):805–10. https://doi.org/10.1007/s12603-018-1048-y

[26]

Chuang SY, Lo YL, Wu SY, Wang PN, Pan WH. Dietary patterns and foods associated with cognitive function in Taiwanese older adults: the cross‐sectional and longitudinal studies. J Am Med Dir Assoc. 2019;20(5):544–50. https://doi.org/10.1016/j.jamda.2018.10.017

[27]

Gu Y, Nieves JW, Stern Y, Luchsinger JA, Scarmeas N. Food combination and Alzheimer disease risk: a protective diet. Arch Neurol. 2010;67(6):699–706. https://doi.org/10.1001/archneurol.2010.84

[28]

Ozawa M, Ninomiya T, Ohara T, Doi Y, Uchida K, Shirota T, et al. Dietary patterns and risk of dementia in an elderly Japanese population: the Hisayama Study. Am J Clin Nutr. 2013;97(5):1076–82. https://doi.org/10.3945/ajcn.112.045575

[29]

Pereira PM, Vicente AF. Meat nutritional composition and nutritive role in the human diet. Meat Sci. 2013;93(3):586–92. https://doi.org/10.1016/j.meatsci.2012.09.018

[30]

Huang Q, Jiang H, Zhang J, Jia X, Huang F, Wang H, et al. Dietary patterns are associated with multi‐dimensional cognitive functions among adults aged 55 and older in China. Front Nutr. 2022;9:806871. https://doi.org/10.3389/fnut.2022.806871

[31]

Wade AT, Davis CR, Dyer KA, Hodgson JM, Woodman RJ, Keage HAD, et al. A mediterranean diet with fresh, lean pork improves processing speed and mood: cognitive findings from the MedPork randomised controlled trial. Nutrients. 2019;11(7):1521. https://doi.org/10.3390/nu11071521

[32]

Hooda J, Shah A, Zhang L. Heme, an essential nutrient from dietary proteins, critically impacts diverse physiological and pathological processes. Nutrients. 2014;6(3):1080–102. https://doi.org/10.3390/nu6031080

[33]

Ngabirano L, Samieri C, Feart C, Gabelle A, Artero S, Duflos C, et al. Intake of meat, fish, fruits, and vegetables and long‐term risk of dementia and Alzheimer's disease. J Alzheimers Dis. 2019;68(2):711–22. https://doi.org/10.3233/JAD-180919

[34]

Samieri C, Morris MC, Bennett DA, Berr C, Amouyel P, Dartigues JF, et al. Fish intake, genetic predisposition to alzheimer disease, and decline in global cognition and memory in 5 cohorts of older persons. Am J Epidemiol. 2018;187(5):933–40. https://doi.org/10.1093/aje/kwx330

[35]

Zhang Y, Chen J, Qiu J, Li Y, Wang J, Jiao J. Intakes of fish and polyunsaturated fatty acids and mild‐to‐severe cognitive impairment risks: a dose‐response meta‐analysis of 21 cohort studies. Am J Clin Nutr. 2016;103(2):330–40. https://doi.org/10.3945/ajcn.115.124081

[36]

Qin B, Plassman BL, Edwards LJ, Popkin BM, Adair LS, Mendez MA. Fish intake is associated with slower cognitive decline in Chinese older adults. J Nutr. 2014;144(10):1579–85. https://doi.org/10.3945/jn.114.193854

[37]

Dobreva I, Marston L, Mukadam N. Which components of the Mediterranean diet are associated with dementia? A UK Biobank cohort study. GeroScience. 2022;44(5):2541–54. https://doi.org/10.1007/s11357-022-00615-2

[38]

Chan R, Chan D, Woo J. A cross sectional study to examine the association between dietary patterns and cognitive impairment in older Chinese people in Hong Kong. J Nutr Health Aging. 2013;17(9):757–65. https://doi.org/10.1007/s12603-013-0348-5

[39]

Chen X, Huang Y, Cheng HG. Lower intake of vegetables and legumes associated with cognitive decline among illiterate elderly Chinese: a 3‐year cohort study. J Nutr Health Aging. 2012;16(6):549–52. https://doi.org/10.1007/s12603-012-0023-2

[40]

Gomez‐Pinilla F. Brain foods: the effects of nutrients on brain function. Nat Rev Neurosci. 2008;9(7):568–78. https://doi.org/10.1038/nrn2421

[41]

Collaborators GBDD, Sur PJ, Fay KA, Cornaby L, Ferrara G, Salama JS, et al. Health effects of dietary risks in 195 countries, 1990‐2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2019;393(10184):1958–72. https://doi.org/10.1016/S0140-6736(19)30041-8

[42]

Kumawat M, Sharma TK, Singh I, Singh N, Singh SK, Ghalaut VS, et al. Decrease in antioxidant status of plasma and erythrocytes from geriatric population. Dis Markers. 2012;33(6):303–8. https://doi.org/10.3233/DMA-2012-00938

[43]

Rajaram S, Jones J, Lee GJ. Plant‐based dietary patterns, plant foods, and age‐related cognitive decline. Adv Nutr. 2019;10(Suppl l_4):S422–36. https://doi.org/10.1093/advances/nmz081

[44]

Wang S, Meckling KA, Marcone MF, Kakuda Y, Tsao R. Synergistic, additive, and antagonistic effects of food mixtures on total antioxidant capacities. J Agric Food Chem. 2011;59(3):960–8. https://doi.org/10.1021/jf1040977

[45]

Nani A, Murtaza B, Sayed Khan A, Khan NA, Hichami A. Antioxidant and anti‐inflammatory potential of polyphenols contained in mediterranean diet in obesity: molecular mechanisms. Molecules. 2021;26(4):985. https://doi.org/10.3390/molecules26040985

[46]

Shannon OM, Ashor AW, Scialo F, Saretzki G, Martin‐Ruiz C, Lara J, et al. Mediterranean diet and the hallmarks of ageing. Eur J Clin Nutr. 2021;75(8):1176–92. https://doi.org/10.1038/s41430-020-00841-x

[47]

D'Amico D, Parrott MD, Greenwood CE, Ferland G, Gaudreau P, Belleville S, et al. Sex differences in the relationship between dietary pattern adherence and cognitive function among older adults: findings from the NuAge study. Nutr J. 2020;19(1):58. https://doi.org/10.1186/s12937-020-00575-3

[48]

Song Y, Zeng L, Gao J, Chen L, Sun C, Yan M, et al. Adherence to high dietary diversity and incident cognitive impairment for the oldest‐old: a community‐based, nationwide cohort study. Nutrients. 2022;14(21):4530. https://doi.org/10.3390/nu14214530

[49]

Soldan A, Pettigrew C, Zhu Y, Wang MC, Gottesman RF, DeCarli C, et al. Cognitive reserve and midlife vascular risk: cognitive and clinical outcomes. Ann Clin Transl Neurol. 2020;7(8):1307–17. https://doi.org/10.1002/acn3.51120

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Publication history

Received: 17 April 2023
Revised: 30 May 2023
Accepted: 14 June 2023
Published: 26 September 2023
Issue date: September 2023

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© 2023 The Authors. Tsinghua University Press.

Acknowledgements

ACKNOWLEDGMENTS

The authors would like to thank all the CLHLS participants sincerely. Huiying Liang was supported by the Excellent Young Scientists Fund (82122036). The funder played no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; or the decision to submit the manuscript for publication.

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This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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