Skip to content
2000
Volume 22, Issue 4
  • ISSN: 1567-2050
  • E-ISSN: 1875-5828

Abstract

Introduction

The mechanisms underlying the relationship between obesity and cognitive function remain unclear, particularly among older adults, where reliable evidence is limited. This study aimed to explore whether the relationship between obesity and cognitive function is mediated by sleep quality and blood pressure (BP) in older Chinese adults.

Methods

We conducted an observational study using data from a cluster randomized controlled trial (RCT) with 5 follow-up periods involving older adults in rural China. The trial took place in Sichuan, China, from May 2021 to May 2023. Telephone Interview for Cognitive Status (TICS-10) was used to assess the participants’ cognitive function. Additionally, linear mixed-effects models and mediation analyses were performed.

Results

The mean age of participants was 70.89, and 225 out of 506 participants were males. Weight, waist circumference (WC), and hip circumference (HC) were positively associated with cognitive function, while compared to normal/underweight participants, participants with overweight had a significant association with cognitive function. Sleep quality mediated the association between weight and cognitive function ( = 0.01, (95% CI: 0.00 to 0.01), < 0.001), accounting for a mediating effect proportion of 4.04% (95% CI: 2.19% to 8.00%). Diastolic blood pressure (DBP) mediated the association between overweight ( = 0.02, (95% CI: 0.00 to 0.05), < 0.001), HC ( = 0.01, (95% CI: 0.00 to 0.01), = 0.02), and WC ( = 0.01, (95% CI: 0.00, 0.01), <0.001) and cognitive function, explaining approximately 4.46% (95% CI: 0.41% to 12.00%), 7.16% (95% CI: 0.36%, 17.00%), and 9.60% (95% CI: 1.11%, 25.00%) mediating proportion of the total effect, respectively.

Discussion

Our study highlights the potential mediating roles of sleep quality and DBP in the relationship between obesity and cognitive function. The findings contribute to understanding the obesity-cognition link in older adults, particularly in rural settings. However, limitations, such as self-reported sleep measures and unmeasured confounders, warrant caution. Further research is needed to clarify the underlying mechanisms and inform targeted interventions.

Conclusion

Our study demonstrates a significant positive association between weight, body mass index (BMI), HC, and WC and cognitive function in older adults. These findings suggest that maintaining a moderately high level of overweight may be protective against cognitive decline in this population. Additionally, the study also provides insights into optimizing cognitive function through factors, such as sleep and BP management.

Loading

Article metrics loading...

/content/journals/car/10.2174/0115672050381084250528160239
2025-05-29
2025-12-28
Loading full text...

Full text loading...

References

  1. OrganizationW.H. 2024 Progress report on the global action plan for healthy lives and well-being for all aligning for country impact.2024Available from: https://www.who.int/initiatives/sdg3-global-action-plan/progress-and-impact/progress-reports/2024
  2. XuS. WenS. YangY. HeJ. YangH. QuY. ZengY. ZhuJ. FangF. SongH. Association between body composition patterns, cardiovascular disease, and risk of neurodegenerative disease in the UK biobank.Neurology20241034e20965910.1212/WNL.000000000020965939047204
    [Google Scholar]
  3. NationsU. Improve support for rising numbers living with dementia, urges WHO.2021Available from: https://news.un.org/en/story/2021/09/1098922
  4. Crous-BouM. MinguillónC. GramuntN. MolinuevoJ.L. Alzheimer’s disease prevention: from risk factors to early intervention.Alzheimers Res. Ther.2017917110.1186/s13195‑017‑0297‑z28899416
    [Google Scholar]
  5. ZhangS. ZhenK. SuQ. ChenY. LvY. YuL. The effect of aerobic exercise on cognitive function in people with Alzheimer’s disease: A systematic review and meta-analysis of randomized controlled trials.Int. J. Environ. Res. Public Health202219231570010.3390/ijerph19231570036497772
    [Google Scholar]
  6. ChowdharyN. BarbuiC. AnsteyK.J. KivipeltoM. BarberaM. PetersR. ZhengL. KulmalaJ. StephenR. FerriC.P. JoanetteY. WangH. Comas-HerreraA. AlessiC. Suharya DyK. MwangiK.J. PetersenR.C. MotalaA.A. MendisS. PrabhakaranD. Bibi Mia SorefanA. DiasA. GouiderR. ShaharS. Ashby-MitchellK. PrinceM. DuaT. Reducing the risk of cognitive decline and dementia: WHO recommendations.Front. Neurol.20221276558410.3389/fneur.2021.76558435082745
    [Google Scholar]
  7. MedawarE. WitteA.V. Impact of obesity and diet on brain structure and function: a gut–brain–body crosstalk.Proc. Nutr. Soc.202281430631610.1017/S002966512200278636345149
    [Google Scholar]
  8. UchidaK. SugimotoT. TangeC. NishitaY. ShimokataH. SajiN. KurodaY. MatsumotoN. KishinoY. OnoR. AkisueT. OtsukaR. SakuraiT. Association between abdominal adiposity and cognitive decline in older adults: A 10-year community-based study.J. Nutr. Health Aging202428310017510.1016/j.jnha.2024.10017538308924
    [Google Scholar]
  9. EmmerzaalT.L. KiliaanA.J. GustafsonD.R. 2003-2013: a decade of body mass index, Alzheimer’s disease, and dementia.J. Alzheimers Dis.201443373975510.3233/JAD‑14108625147111
    [Google Scholar]
  10. ZengZ. HuangK. CenY. JinW. ShenY. XiongL. MaoF. HongG. LuoY. LuoX. Elevated visceral adiposity index linked to improved cognitive function in middle-aged and elderly Chinese: evidence from the China health and retirement longitudinal study.Front. Aging Neurosci.202315127023910.3389/fnagi.2023.127023937927334
    [Google Scholar]
  11. TalaeiM. FengL. BarrenetxeaJ. YuanJ.M. PanA. KohW.P. Adiposity, weight change, and risk of cognitive impairment: The Singapore Chinese health study.J. Alzheimers Dis.202074131932910.3233/JAD‑19105232039850
    [Google Scholar]
  12. MagderS. The meaning of blood pressure.Crit. Care201822125710.1186/s13054‑018‑2171‑130305136
    [Google Scholar]
  13. AloscoM.L. SpitznagelM.B. CohenR. SweetL.H. JosephsonR. HughesJ. RosneckJ. GunstadJ. Obesity and cognitive dysfunction in heart failure: The role of hypertension, type 2 diabetes, and physical fitness.Eur. J. Cardiovasc. Nurs.201514433434110.1177/147451511453533124829294
    [Google Scholar]
  14. GotheN.P. EhlersD.K. SalernoE.A. FanningJ. KramerA.F. McAuleyE. Physical activity, sleep and quality of life in older adults: Influence of physical, mental and social well-being.Behav. Sleep Med.202018679780810.1080/15402002.2019.169049331713442
    [Google Scholar]
  15. Mattey-MoraP.P. NelsonE.J. Sleep disturbances, obesity, and cognitive function in childhood: A mediation analysis.Curr. Dev. Nutr.2021510nzab11910.1093/cdn/nzab11934661044
    [Google Scholar]
  16. LiangF. FuJ. MooreJ.B. ZhangX. XuY. QiuN. WangY. LiR. Body mass index, waist circumference, and cognitive decline among Chinese older adults: A nationwide retrospective cohort study.Front. Aging Neurosci.20221473753210.3389/fnagi.2022.73753235330705
    [Google Scholar]
  17. LiN. WangY. DengQ. HuJ. ZhouJ. A multilevel physical activity intervention among Chinese rural older adults (stay active while aging): A study protocol for a clustered randomized controlled trial.Front. Public Health20221076045710.3389/fpubh.2022.76045735592074
    [Google Scholar]
  18. LiN. YeQ. DengQ. WangY. HuJ. LiX. LiuQ. JiangM. ZhaoX. ZhouJ. Physical activity intervention for leisure- time activity levels among older adults.JAMA Netw. Open202369e233319510.1001/jamanetworkopen.2023.3319537713199
    [Google Scholar]
  19. LarsenR.T. KorfitsenC.B. JuhlC.B. AndersenH.B. ChristensenJ. LangbergH. The MIPAM trial: a 12-week intervention with motivational interviewing and physical activity monitoring to enhance the daily amount of physical activity in community-dwelling older adults – a study protocol for a randomized controlled trial.BMC Geriatr.202020141210.1186/s12877‑020‑01815‑133081715
    [Google Scholar]
  20. BondocI. CochraneS.K. ChurchT.S. DahindenP. HettwerS. HsuF.C. StaffordR.S. PahorM. BufordT.W. Effects of a one-year physical activity program on serum C-terminal Agrin Fragment (CAF) concentrations among mobility-limited older adults.J. Nutr. Health Aging201519992292710.1007/s12603‑015‑0474‑326482694
    [Google Scholar]
  21. PahorM. BlairS.N. EspelandM. FieldingR. GillT.M. GuralnikJ.M. HadleyE.C. KingA.C. KritchevskyS.B. MaraldiC. MillerM.E. NewmanA.B. RejeskiW.J. RomashkanS. StudenskiS. Effects of a physical activity intervention on measures of physical performance: Results of the lifestyle interventions and independence for Elders Pilot (LIFE-P) study.J. Gerontol. A Biol. Sci. Med. Sci.200661111157116510.1093/gerona/61.11.115717167156
    [Google Scholar]
  22. LiuC.K. LengX. HsuF.C. KritchevskyS.B. DingJ. EarnestC.P. FerrucciL. GoodpasterB.H. GuralnikJ.M. LenchikL. PahorM. FieldingR.A. The impact of sarcopenia on a physical activity intervention: The lifestyle interventions and independence for elders pilot study (LIFE-P).J. Nutr. Health Aging2014181596410.1007/s12603‑013‑0369‑024402391
    [Google Scholar]
  23. TanakaS. YamagamiT. YamaguchiH. Effects of a group-based physical and cognitive intervention on social activity and quality of life for elderly people with dementia in a geriatric health service facility: A quasi-randomised controlled trial.Psychogeriatrics2021211717910.1111/psyg.12627
    [Google Scholar]
  24. GillT.M. BeaversD.P. GuralnikJ.M. PahorM. FieldingR.A. HauserM. ManiniT.M. MarshA.P. McDermottM.M. NewmanA.B. AlloreH.G. MillerM.E. The effect of intervening hospitalizations on the benefit of structured physical activity in promoting independent mobility among community-living older persons: Secondary analysis of a randomized controlled trial.BMC Med.20171516510.1186/s12916‑017‑0824‑628347337
    [Google Scholar]
  25. Shumway-CookA. BrauerS. WoollacottM. Predicting the probability for falls in community-dwelling older adults using the Timed Up & Go Test.Phys. Ther.200080989690310.1093/ptj/80.9.89610960937
    [Google Scholar]
  26. StathiA. WithallJ. GreavesC.J. ThompsonJ.L. TaylorG. Medina-LaraA. GreenC. BilzonJ. GrayS. Johansen-BergH. SextonC.E. WesternM.J. de KoningJ.L. BollenJ.C. MoorlockS.J. DemnitzN. SeagerP. GuralnikJ.M. Jack RejeskiW. FoxK.R. A community-based physical activity intervention to prevent mobility-related disability for retired older people (REtirement in ACTion (REACT)): study protocol for a randomised controlled trial.Trials201819122810.1186/s13063‑018‑2603‑x29665854
    [Google Scholar]
  27. MorganG.S. HaaseA.M. CampbellR. Ben-ShlomoY. Physical ACtivity facilitation for Elders (PACE): study protocol for a randomised controlled trial.Trials20151619110.1186/s13063‑015‑0610‑825872500
    [Google Scholar]
  28. BatikO. PhelanE.A. WalwickJ.A. WangG. LoGerfoJ.P. Translating a community-based motivational support program to increase physical activity among older adults with diabetes at community clinics: A pilot study of Physical Activity for a Lifetime of Success (PALS).Prev. Chronic Dis.200851A1818082007
    [Google Scholar]
  29. BonnefoyM. BoutitieF. MercierC. GueyffierF. CarreC. GuetemmeG. RavisB. LavilleM. CornuC. Efficacy of a home-based intervention programme on the physical activity level and functional ability of older people using domestic services: A randomised study.J. Nutr. Health Aging201216437037710.1007/s12603‑011‑0352‑622499461
    [Google Scholar]
  30. RydwikE. FrändinK. AknerG. Effects of a physical training and nutritional intervention program in frail elderly people regarding habitual physical activity level and activities of daily living—A randomized controlled pilot study.Arch. Gerontol. Geriatr.201051328328910.1016/j.archger.2009.12.00120044155
    [Google Scholar]
  31. HeW. LiQ. YangM. JiaoJ. MaX. ZhouY. SongA. HeymsfieldS.B. ZhangS. ZhuS. Lower BMI cutoffs to define overweight and obesity in China.Obesity (Silver Spring)201523368469110.1002/oby.2099525645003
    [Google Scholar]
  32. HuJ. DengQ. YongC. PengJ. KongC. LiN. LiX. YeQ. LiuQ. WangY. ZhouJ. The relationship between mentally active sedentary behavior and cognitive function across different educational levels.Dement. Geriatr. Cogn. Disord.20245411910.1159/00053986338964292
    [Google Scholar]
  33. ZhangC. ZhangH. ZhaoM. LiZ. CookC.E. BuysseD.J. ZhaoY. YaoY. Reliability, validity, and factor structure of pittsburgh sleep quality index in community-based centenarians.Front. Psychiatry20201157353010.3389/fpsyt.2020.57353033110414
    [Google Scholar]
  34. WheltonP.K. CareyR.M. AronowW.S. ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: A report of the american college of cardiology/american heart association task force on clinical practice guidelines.Hypertension2018716e13e11510.1161/HYP.0000000000000065
    [Google Scholar]
  35. OgliariG. SabayanB. MariD. RossiP.D. LucchiT.A. de CraenA.J.M. WestendorpR.G.J. Age- and functional status–dependent association between blood pressure and cognition: The milan geriatrics 75+ cohort study.J. Am. Geriatr. Soc.20156391741174810.1111/jgs.1361626280562
    [Google Scholar]
  36. VaughanK. MillerW.C. Validity and reliability of the Chinese translation of the physical activity scale for the elderly (PASE).Disabil. Rehabil.201335319119710.3109/09638288.2012.69049822671717
    [Google Scholar]
  37. TingleyD. YamamotoT. HiroseK. KeeleL. ImaiK. Mediation: R package for causal mediation analysis.J. Stat. Softw.201459513810.18637/jss.v059.i05
    [Google Scholar]
  38. DyeL. BoyleN.B. ChampC. LawtonC. The relationship between obesity and cognitive health and decline.Proc. Nutr. Soc.201776444345410.1017/S002966511700201428889822
    [Google Scholar]
  39. MinaT. YewY.W. NgH.K. Adiposity impacts cognitive function in Asian populations: an epidemiological and Mendelian Randomization study.Lancet Reg. Health West. Pac.20233310071010.1016/j.lanwpc.2023.100710
    [Google Scholar]
  40. WangX. LuanD. XinS. LiuY. GaoQ. Association between individual components of metabolic syndrome and cognitive function in Northeast rural China.Am. J. Alzheimers Dis. Other Demen.2019347-850751210.1177/153331751986542831353917
    [Google Scholar]
  41. DongW. KanL. ZhangX. LiM. WangM. CaoY. Association between body mass index and cognitive impairment in Chinese older adults.Front. Public Health202311125510110.3389/fpubh.2023.125510137927863
    [Google Scholar]
  42. LiangZ. JinW. HuangL. ChenH. Association between diverse obesity indicators and sleep quality in elderly Chinese people: a National Study.Front. Nutr.202411145948010.3389/fnut.2024.145948039464685
    [Google Scholar]
  43. WestermannJ. LangeT. TextorJ. BornJ. System consolidation during sleep - a common principle underlying psychological and immunological memory formation.Trends Neurosci.2015381058559710.1016/j.tins.2015.07.00726442693
    [Google Scholar]
  44. MukherjeeU. SeharU. BrownellM. ReddyP.H. Mechanisms, consequences and role of interventions for sleep deprivation: Focus on mild cognitive impairment and Alzheimer’s disease in elderly.Ageing Res. Rev.202410010245710.1016/j.arr.2024.10245739154978
    [Google Scholar]
  45. HuangX. HuangY. ZhouH. HuangZ. Relationship between weight-adjusted-waist index and blood pressure as well as incident hypertension among middle-aged and elderly Chinese: A longitudinal study.Nutr. Metab. Cardiovasc. Dis.20243492095210610.1016/j.numecd.2024.06.00639003136
    [Google Scholar]
  46. DollS. PaccaudF. BovetP. BurnierM. WietlisbachV. Body mass index, abdominal adiposity and blood pressure: Consistency of their association across developing and developed countries.Int. J. Obes. Relat. Metab. Disord.2002261485710.1038/sj.ijo.0801854
    [Google Scholar]
  47. ShangS. LiP. DengM. JiangY. ChenC. QuQ. The age-dependent relationship between blood pressure and cognitive impairment: A cross-sectional study in a rural area of Xi’an, China.PLoS One2016117e015948510.1371/journal.pone.015948527438476
    [Google Scholar]
  48. DuanX. DangY. KangC. RongP. YanM. ZhangS. CuiJ. ZhaoY. ChenF. ZhouJ. WangD. PeiL. Associations between trajectories of cardiovascular risk factor change and cognitive impairment in Chinese elderly: A nationwide cohort study.Front. Aging Neurosci.202315108413610.3389/fnagi.2023.108413636845661
    [Google Scholar]
  49. GlynnR.J. BeckettL.A. HebertL.E. MorrisM.C. ScherrP.A. EvansD.A. Current and remote blood pressure and cognitive decline.JAMA1999281543844510.1001/jama.281.5.4389952204
    [Google Scholar]
  50. TianH. QiW. LiS. SunS. LiS. WuY. Pathways linking abdominal obesity to poor memory function: Explore the mediating role of hypertension and depressive symptoms.J. Affect. Disord.202129549249710.1016/j.jad.2021.08.09234509063
    [Google Scholar]
/content/journals/car/10.2174/0115672050381084250528160239
Loading
/content/journals/car/10.2174/0115672050381084250528160239
Loading

Data & Media loading...

Supplements

Supplementary material is available on the publisher’s website along with the published article. Supplementary Table : Association between adiposity-indicators and cognitive function: Sensitivity analysis excluding individuals aged >85 years. Supplementary Table : Mediating effects of adiposity-indicators and cognitive function when mediated by sleep quality: Sensitivity analysis excluding individuals aged >85 years. Supplementary Table : Mediating effects of adiposity-indicators and cognitive function when mediated by blood pressure: Sensitivity analysis excluding individuals aged >85 years.


  • Article Type:
    Research Article
Keyword(s): blood pressure; cognitive function; mediating effect; Obesity; older adults; sleep quality
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test