Dietary patterns related to attention and physiological function in high-altitude migrants.

Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Original Publication: London : Nature Publishing Group, copyright 2011-

Altitude* ; Attention*/physiology ; Transients and Migrants*/psychology ; Diet*; Humans ; Male ; Young Adult ; Tibet ; Adult ; Feeding Behavior ; Surveys and Questionnaires ; Alcohol Drinking ; Dietary Patterns

High altitude exposure negatively affects human attentional function. However, no studies have explored the regulation of attentional and physiological functions from a dietary perspective. A total of 116 Han Chinese students from Tibet University who were born and raised in a plain area and had been living in Tibet for > 2 years were recruited. All participants were male migrants. A food frequency questionnaire, complete blood count, and attention network test were performed on the participants. Pearson's correlation was applied to assess the reliability and validity of the food frequency questionnaire. Principal component analysis was utilized to extract dietary patterns. A linear mixed model was employed to account for individual differences. The results showed that the five main dietary patterns were coarse grain, alcohol, meat, protein, and snacking dietary patterns. Furthermore, individuals who adhered to the coarse grain dietary pattern and had high mean corpuscular hemoglobin showed better attentional performance. Individuals with high alcohol consumption and systemic immune-inflammation index levels exhibited worse attentional performance. These findings imply that high-altitude migrants should include more coarse grains in their daily diet and avoid excessive alcohol consumption to improve attention.
(© 2024. The Author(s).)

Stobdan, T. et al. Attributes of Seabuckthorn (Hippophae rhamnoides L.) to Meet Nutritional requirements in high Altitude. Def. Sci. J.60, 226–230 (2010). (PMID: 10.14429/dsj.60.344)
Luks, A. M., Swenson, E. R. & Bärtsch, P. Acute high-altitude sickness. Eur. Respir Rev.26 https://doi.org/10.1183/16000617.0096-2016 (2017).
Virués-Ortega, J., Buela-Casal, G., Garrido, E. & Alcázar, B. Neuropsychological functioning associated with high-altitude exposure. Neuropsychol. Rev.14, 197–224. https://doi.org/10.1007/s11065-004-8159-4 (2004). (PMID: 10.1007/s11065-004-8159-415796116)
Virués-Ortega, J., Garrido, E., Javierre, C. & Kloezeman, K. C. Human behaviour and development under high-altitude conditions. Dev. Sci.9, 400–410. https://doi.org/10.1111/j.1467-7687.2006.00505.x (2006). (PMID: 10.1111/j.1467-7687.2006.00505.x16764613)
Su, R. et al. The effects of long-term high-altitude exposure on cognition: a meta-analysis. Neurosci. Biobehav. Rev.161 https://doi.org/10.1016/j.neubiorev.2024.105682 (2024).
Kolb, J. C., Ainslie, P. N., Ide, K. & Poulin, M. J. Protocol to measure acute cerebrovascular and ventilatory responses to isocapnic hypoxia in humans. Respir Physiol. Neurobiol.141, 191–199. https://doi.org/10.1016/j.resp.2004.04.014 (2004). (PMID: 10.1016/j.resp.2004.04.01415239969)
Peltonen, J. E. et al. Cerebral and muscle tissue oxygenation in acute hypoxic ventilatory response test. Respir Physiol. Neurobiol.155, 71–81. https://doi.org/10.1016/j.resp.2006.03.008 (2007). (PMID: 10.1016/j.resp.2006.03.00816697712)
Schwingshackl, L. & Hoffmann, G. Diet quality as assessed by the healthy eating Index, the alternate healthy eating Index, the Dietary approaches to stop hypertension score, and health outcomes: a systematic review and meta-analysis of cohort studies. J. Acad. Nutr. Diet.115, 780–800e785. https://doi.org/10.1016/j.jand.2014.12.009 (2015). (PMID: 10.1016/j.jand.2014.12.00925680825)
O’Neil, A. et al. Relationship between diet and mental health in children and adolescents: a systematic review. Am. J. Public. Health. 104, e31–42. https://doi.org/10.2105/ajph.2014.302110 (2014). (PMID: 10.2105/ajph.2014.302110252080084167107)
Michael, D. et al. Minerals and Trace Elements intakes and Food Consumption Patterns of Young Children Living in Rural Areas of Tibet Autonomous Region, P.R. China: a cross-sectional survey. Healthcare. 5, 12. https://doi.org/10.3390/healthcare5010012 (2017). (PMID: 10.3390/healthcare5010012)
Zhou, C. et al. Food consumption and dietary patterns of local adults living on the Tibetan Plateau: results from 14 countries along the Yarlung Tsangpo River. Nutrients. 13 https://doi.org/10.3390/nu13072444 (2021).
Pun, M. et al. Effects on cognitive functioning of Acute, Subacute and repeated exposures to high Altitude. Front. Physiol.9, 1131. https://doi.org/10.3389/fphys.2018.01131 (2018). (PMID: 10.3389/fphys.2018.01131302467876111975)
Dykiert, D. et al. The effects of high altitude on choice reaction time mean and intra-individual variability: results of the Edinburgh Altitude Research Expedition of 2008. Neuropsychology. 24, 391–401. https://doi.org/10.1037/a0018502 (2010). (PMID: 10.1037/a001850220438216)
Posner, M. I. & Petersen, S. E. The attention system of the human brain. Annu. Rev. Neurosci.13, 25–42. https://doi.org/10.1146/annurev.ne.13.030190.000325 (1990). (PMID: 10.1146/annurev.ne.13.030190.0003252183676)
Singh, S. B. et al. Effect of chronic hypobaric hypoxia on components of the human event related potential. Indian J. Med. Res.120, 94–99 (2004). (PMID: 15347858)
Miranda, A. R., Cortez, M. V., Scotta, A. V. & Soria, E. A. Dietary Intake of Polyphenols Enhances Executive/Attentional Functioning and memory with an improvement of the milk lipid Profile of Postpartum women from Argentina. J. Intell.10 https://doi.org/10.3390/jintelligence10020033 (2022).
Bourre, J. M. Effects of nutrients (in food) on the structure and function of the nervous system: update on dietary requirements for brain. Part 1: micronutrients. J. Nutr. Health Aging. 10, 377–385 (2006). (PMID: 17066209)
Holloway, C. J. et al. A high-fat diet impairs cardiac high-energy phosphate metabolism and cognitive function in healthy human subjects. Am. J. Clin. Nutr.93, 748–755. https://doi.org/10.3945/ajcn.110.002758 (2011). (PMID: 10.3945/ajcn.110.00275821270386)
Bourre, J. M. Effects of nutrients (in food) on the structure and function of the nervous system: update on dietary requirements for brain. Part 2: macronutrients. J. Nutr. Health Aging. 10, 386–399 (2006). (PMID: 17066210)
Hu, F. B. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr. Opin. Lipidol.13, 3–9. https://doi.org/10.1097/00041433-200202000-00002 (2002). (PMID: 10.1097/00041433-200202000-0000211790957)
Jacques, P. F. & Tucker, K. L. Are dietary patterns useful for understanding the role of diet in chronic disease? Am. J. Clin. Nutr.73, 1–2. https://doi.org/10.1093/ajcn/73.1.1 (2001). (PMID: 10.1093/ajcn/73.1.111124739)
Qian, G. et al. Systemic lupus erythematosus patients in the low-latitude plateau of China: altitudinal influences. Lupus. 23, 1537–1545. https://doi.org/10.1177/0961203314544186 (2014). (PMID: 10.1177/096120331454418625059490)
Rimoldi, S. F. et al. Systemic vascular dysfunction in patients with chronic mountain sickness. Chest. 141, 139–146. https://doi.org/10.1378/chest.11-0342 (2012). (PMID: 10.1378/chest.11-034221700688)
Zhang, R. et al. Correlation between RBC changes and coagulation parameters in high altitude population. Hematology. 24, 325–330. https://doi.org/10.1080/16078454.2019.1568658 (2019). (PMID: 10.1080/16078454.2019.156865830669960)
Zhong, R. et al. Adaption to high altitude: an evaluation of the storage quality of suspended red blood cells prepared from the whole blood of tibetan plateau migrants. PLoS One. 10, e0144201. https://doi.org/10.1371/journal.pone.0144201 (2015). (PMID: 10.1371/journal.pone.0144201266371154670121)
Wu, T. et al. Hemoglobin levels in Qinghai-Tibet: different effects of gender for tibetans vs. Han. J. Appl. Physiol. (1985). https://doi.org/10.1152/japplphysiol.01034.2002 (2005). (PMID: 10.1152/japplphysiol.01034.200216166234)
Caris, A. & Santos, R. Performance and altitude: is there anything that nutrition can do for it. Nutrition. 60, 35–40. https://doi.org/10.1016/j.nut.2018.09.030 (2019). (PMID: 10.1016/j.nut.2018.09.03030529882)
Pham, K., Parikh, K. & Heinrich, E. C. Hypoxia and inflammation: insights from high-Altitude Physiology. Front. Physiol.12, 676782. https://doi.org/10.3389/fphys.2021.676782 (2021). (PMID: 10.3389/fphys.2021.676782341221458188852)
Wang, S., Melnyk, J. P., Tsao, R. & Marcone, M. How natural dietary antioxidants in fruits, vegetables and legumes promote vascular health. Food Res. Int.44, 14–22 (2011). (PMID: 10.1016/j.foodres.2010.09.028)
Zhang, N., Du, S. & Ma, G. Current lifestyle factors that increase risk of T2DM in China. Eur. J. Clin. Nutr.71, 832–838. https://doi.org/10.1038/ejcn.2017.41 (2017). (PMID: 10.1038/ejcn.2017.4128422119)
Rooze, S. et al. Growth, nutritional status, and signs of rickets in 0–5-year-old children in a Kashin–Beck disease endemic area of Central Tibet. Eur. J. Pediatr.171, 1185–1191. https://doi.org/10.1007/s00431-012-1699-3 (2012). (PMID: 10.1007/s00431-012-1699-322354482)
Wang, Z., Dang, S. & Yan, H. Nutrient intakes of rural tibetan mothers: a cross-sectional survey. BMC Public. Health. 10, 1–8. https://doi.org/10.1186/1471-2458-10-801 (2010). (PMID: 10.1186/1471-2458-10-801)
Hu, F. B. et al. Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am. J. Clin. Nutr.69, 243–249. https://doi.org/10.1093/ajcn/69.2.243 (1999). (PMID: 10.1093/ajcn/69.2.2439989687)
Randall, E., Marshall, J., Graham, S. & Brasure, J. Patterns in food use and their associations with nutrient intakes. Am. J. Clin. Nutr.52, 739–745. https://doi.org/10.1093/ajcn/52.4.739 (1990). (PMID: 10.1093/ajcn/52.4.7392403067)
Evensen, J., Edwards, C. G., Thompson, S. V. & Holscher, H. D. & Khan, N. A. relationship between whole grain consumption and selective attention. FASEB J.31, 636.28-636.28 (2017).
Zhu, A., Yuan, C., Pretty, J. & Ji, J. S. Plant-based dietary patterns and cognitive function: a prospective cohort analysis of elderly individuals in China (2008–2018). Brain Behav.12, e2670. https://doi.org/10.1002/brb3.2670 (2022). (PMID: 10.1002/brb3.2670358332409392533)
Rajaram, S., Jones, J. & Lee, G. J. Plant-based dietary patterns, Plant Foods, and Age-Related Cognitive decline. Adv. Nutr.10, S422–s436. https://doi.org/10.1093/advances/nmz081 (2019). (PMID: 10.1093/advances/nmz081317285026855948)
Katsiardanis, K. et al. Cognitive impairment and dietary habits among elders: the Velestino Study. J. Med. Food. 16, 343–350. https://doi.org/10.1089/jmf.2012.0225 (2013). (PMID: 10.1089/jmf.2012.022523514229)
Tangney, C. C. et al. Adherence to a Mediterranean-type dietary pattern and cognitive decline in a community population. Am. J. Clin. Nutr.93, 601–607. https://doi.org/10.3945/ajcn.110.007369 (2011). (PMID: 10.3945/ajcn.110.00736921177796)
Paknahad, Z., Sheklabadi, E., Derakhshan, Y., Bagherniya, M. & Chitsaz, A. The effect of the Mediterranean diet on cognitive function in patients with Parkinson’s disease: a randomized clinical controlled trial. Complement. Ther. Med.50, 102366. https://doi.org/10.1016/j.ctim.2020.102366 (2020). (PMID: 10.1016/j.ctim.2020.10236632444045)
Chen, Y. et al. The cross-sectional association between mean corpuscular volume level and cognitive function in Chinese over 45 years old: evidence from the China Health and Retirement Longitudinal Study. PLoS One. 15, e0243227. https://doi.org/10.1371/journal.pone.0243227 (2020). (PMID: 10.1371/journal.pone.0243227332707887714155)
Jonassaint, C. R. et al. Lower hemoglobin is associated with poorer cognitive performance and smaller brain volume in older adults. J. Am. Geriatr. Soc.62, 972–973. https://doi.org/10.1111/jgs.12810 (2014). (PMID: 10.1111/jgs.12810248289254292910)
Dry, M. J., Burns, N. R., Nettelbeck, T., Farquharson, A. L. & White, J. M. Dose-related effects of alcohol on cognitive functioning. PLoS One. 7, e50977. https://doi.org/10.1371/journal.pone.0050977 (2012). (PMID: 10.1371/journal.pone.0050977232098403510176)
Abrahao, K. P., Salinas, A. G. & Lovinger, D. M. Alcohol and the brain: neuronal molecular targets, synapses, and circuits. Neuron. 96, 1223–1238. https://doi.org/10.1016/j.neuron.2017.10.032 (2017). (PMID: 10.1016/j.neuron.2017.10.032292680936566861)
Bjork, J. M. & Gilman, J. M. The effects of acute alcohol administration on the human brain: insights from neuroimaging. Neuropharmacology. 84, 101–110. https://doi.org/10.1016/j.neuropharm.2013.07.039 (2014). (PMID: 10.1016/j.neuropharm.2013.07.03923978384)
Oken, B. S., Salinsky, M. C. & Elsas, S. M. Vigilance, alertness, or sustained attention: physiological basis and measurement. Clin. Neurophysiol.117, 1885–1901. https://doi.org/10.1016/j.clinph.2006.01.017 (2006). (PMID: 10.1016/j.clinph.2006.01.017165812922865224)
Koelega, H. S. Alcohol and vigilance performance: a review. Psychopharmacol. (Berl). 118, 233–249. https://doi.org/10.1007/bf02245951 (1995). (PMID: 10.1007/bf02245951)
Davidson, D., Camara, P. & Swift, R. Behavioral effects and pharmacokinetics of low-dose intravenous alcohol in humans. Alcohol Clin. Exp. Res.21, 1294–1299 (1997). (PMID: 10.1111/j.1530-0277.1997.tb04451.x9347092)
Magrys, S. A. & Olmstead, M. C. Alcohol intoxication alters cognitive skills mediated by frontal and temporal brain regions. Brain Cogn.85, 271–276. https://doi.org/10.1016/j.bandc.2013.12.010 (2014). (PMID: 10.1016/j.bandc.2013.12.01024487348)
Dougherty, D. M., Marsh, D. M., Moeller, F. G., Chokshi, R. V. & Rosen, V. C. Effects of moderate and high doses of alcohol on attention, impulsivity, discriminability, and response bias in immediate and delayed memory task performance. Alcohol Clin. Exp. Res.24, 1702–1711 (2000). (PMID: 10.1111/j.1530-0277.2000.tb01972.x11104118)
Xiao, Y. et al. Systemic Immune-inflammation index is Associated with Cerebral Small Vessel Disease Burden and Cognitive Impairment. Neuropsychiatr Dis. Treat.19, 403–413. https://doi.org/10.2147/ndt.S401098 (2023). (PMID: 10.2147/ndt.S401098368522579960781)
Jin, Z. et al. The associations of two novel inflammation indexes, SII and SIRI with the risks for Cardiovascular diseases and all-cause mortality: a ten-year Follow-Up study in 85,154 individuals. J. Inflamm. Res.14, 131–140. https://doi.org/10.2147/jir.S283835 (2021). (PMID: 10.2147/jir.S283835335006497822090)
Xia, Y. et al. Systemic Immune inflammation index (SII), system inflammation response index (SIRI) and risk of all-cause Mortality and Cardiovascular Mortality: a 20-Year Follow-Up Cohort Study of 42,875 US adults. J. Clin. Med.12 https://doi.org/10.3390/jcm12031128 (2023).
Wei, M. Y., Levine, D. A., Zahodne, L. B., Kabeto, M. U. & Langa, K. M. Multimorbidity and Cognitive decline over 14 years in older americans. J. Gerontol. Biol. Sci. Med. Sci.75, 1206–1213. https://doi.org/10.1093/gerona/glz147 (2020). (PMID: 10.1093/gerona/glz147)
Hong, X. et al. Reproducibility and validity of dietary patterns identified using factor analysis among Chinese populations. Br. J. Nutr.116, 842–852. https://doi.org/10.1017/s000711451600249x (2016). (PMID: 10.1017/s000711451600249x27405825)
Su, R. et al. Intensity-dependent acute aerobic exercise: Effect on reactive control of attentional functions in acclimatized lowlanders at high altitude. Physiol. Behav.250, 113785. https://doi.org/10.1016/j.physbeh.2022.113785 (2022). (PMID: 10.1016/j.physbeh.2022.11378535346735)
Zhang, D. et al. Competition among the attentional networks due to resource reduction in tibetan indigenous residents: evidence from event-related potentials. Sci. Rep.8, 610. https://doi.org/10.1038/s41598-017-18886-7 (2018). (PMID: 10.1038/s41598-017-18886-7293304425766594)
Candemir, M., Kiziltunç, E., Nurkoç, S. & Şahinarslan, A. Relationship between systemic Immune-inflammation index (SII) and the severity of stable coronary artery disease. Angiology. 72, 575–581. https://doi.org/10.1177/0003319720987743 (2021). (PMID: 10.1177/000331972098774333685239)
Wang, X. et al. Association of Dietary Inflammatory Potential with Blood Inflammation: The Prospective Markers on Mild Cognitive Impairment. Nutrients14, doi: (2022). https://doi.org/10.3390/nu14122417.
Bland, J. M. & Altman, D. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 327, 307–310. https://doi.org/10.1016/S0140-6736(86)90837-8 (1986). (PMID: 10.1016/S0140-6736(86)90837-8)
Ding, Y. et al. Reproducibility and relative validity of a semi-quantitative food frequency questionnaire for the Chinese lactating mothers. Nutr. J.20, 1–12. https://doi.org/10.1186/s12937-021-00678-5 (2021). (PMID: 10.1186/s12937-021-00678-5)

XZ202301YD0032C The Science and Technology Project of Tibet Autonomous Region of China; XZ202201ZD0001G The Science and Technology Major Project of Tibetan Autonomous Region of China; XZ202201ZD0001G The Science and Technology Major Project of Tibetan Autonomous Region of China; XZ202201ZD0001G The Science and Technology Major Project of Tibetan Autonomous Region of China; XZ202201ZD0001G The Science and Technology Major Project of Tibetan Autonomous Region of China; 2023ZYJM001 Key research and development projects in Tibet Autonomous Region; 2023ZYJM001 Key research and development projects in Tibet Autonomous Region; 2023ZYJM001 Key research and development projects in Tibet Autonomous Region; 2023ZYJM001 Key research and development projects in Tibet Autonomous Region; LSKJ202309 Key Science and Technology Project of Lhasa, Tibet; LSKJ202309 Key Science and Technology Project of Lhasa, Tibet; 82360862 National Natural Science Fundation of China; 82360862 National Natural Science Fundation of China; U23A20476 National Natural Science Foundation Regional Innovation Development Joint fund project of China; 32260212 The National Natural Science Foundation of China

Keywords: Attention; High-altitude, dietary patterns; Migrants; Physiological function

Date Created: 20241007 Date Completed: 20241007 Latest Revision: 20241010

20241011

PMC11458811

10.1038/s41598-024-75313-4

39375516