Introduction
The relationship between variability in cardiometabolic and inflammatory parameters
and cognitive changes is unknown. This study investigates the association of visit-to-visit
variability in BMI, mean arterial pressure, total cholesterol, triglycerides, HbA1c,
high-sensitivity C-reactive protein, ferritin, and fibrinogen with cognitive decline.
Methods
This population-based cohort study included 2,260 individuals (mean age=63.0 [SD=7.5]
years) free of cognitive diseases who underwent ≥3 clinical measurements from 2004
to 2019. Variability was expressed as variability independent of the mean across visits.
Participants were divided on the basis of quartiles of variability score, a scoring
system generated to explore the composite effect of parameter variability (range=0−24),
where 0 points were assigned for Quartile 1, 1 point was assigned for Quartile 2,
2 points were assigned for Quartile 3, and 3 points were assigned for Quartile 4,
each for the variability of 8 parameters measured as variability independent of the
mean. Linear mixed models evaluated the longitudinal associations with cognitive decline
in memory and verbal fluency. All analyses were conducted in 2020−2021.
Results
Higher BMI, mean arterial pressure, total cholesterol, HbA1c, and ferritin variability
were linearly associated with cognitive decline irrespective of their mean values.
In addition, participants in the highest quartile of variability score had a significantly
worse cognitive decline rate in memory (−0.0224 points/year, 95% CI= −0.0319, −0.0129)
and verbal fluency (−0.0088 points/year, 95% CI= −0.0168, −0.0008) than those in the
lowest quartile.
Conclusions
A higher variability in cardiometabolic and inflammatory parameters was significantly
associated with cognitive decline. Stabilizing these parameters may serve as a target
to preserve cognitive functioning.
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to American Journal of Preventive MedicineAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
REFERENCES
- The global burden of neurological disorders: translating evidence into policy.Lancet Neurol. 2020; 19: 255-265https://doi.org/10.1016/S1474-4422(19)30411-9
- Dementia prevention, intervention, and care: 2020 report of the Lancet Commission.Lancet. 2020; 396: 413-446https://doi.org/10.1016/S0140-6736(20)30367-6
- Patterns of cognitive decline prior to dementia in persons with mild cognitive impairment.J Alzheimers Dis. 2015; 47: 901-913https://doi.org/10.3233/JAD-142910
- Cardiometabolic dysregulation and cognitive decline: potential role of depressive symptoms.Br J Psychiatry. 2018; 212: 96-102https://doi.org/10.1192/bjp.2017.26
- Inflammation in the pathophysiology and therapy of cardiometabolic disease.Endocr Rev. 2019; 40: 1080-1091https://doi.org/10.1210/er.2019-00002
- Association of body mass index with risk of cognitive impairment and dementia: a systematic review and meta-analysis of prospective studies.Neurosci Biobehav Rev. 2020; 115: 189-198https://doi.org/10.1016/j.neubiorev.2020.05.012
- Is pulse pressure useful in predicting risk for coronary heart disease? The Framingham Heart Study.Circulation. 100. 1999: 354-360https://doi.org/10.1161/01.cir.100.4.354
- A U-shaped association between blood pressure and cognitive impairment in Chinese elderly.J Am Med Dir Assoc. 2017; 18 (193.e7–193.e13)https://doi.org/10.1016/j.jamda.2016.11.011
- Triglycerides cross the blood–brain barrier and induce central leptin and insulin receptor resistance.Int J Obes (Lond). 2018; 42: 391-397https://doi.org/10.1038/ijo.2017.231
- Outcome age-based prediction of successful cognitive aging by total cholesterol.Alzheimers Dement. 2018; 14: 952-960https://doi.org/10.1016/j.jalz.2018.01.009
- Higher visit-to-visit low-density lipoprotein cholesterol variability is associated with lower cognitive performance, lower cerebral blood flow, and greater white matter hyperintensity load in older subjects.Circulation. 2016; 134: 212-221https://doi.org/10.1161/CIRCULATIONAHA.115.020627
- High-sensitivity C-reactive protein and cognitive decline: the English Longitudinal Study of Ageing.Psychol Med. 2018; 48: 1381-1389https://doi.org/10.1017/S0033291717003130
- Association between serum ferritin and cognitive function in early childhood.J Pediatr. 2020; 217: 189-191.e2https://doi.org/10.1016/j.jpeds.2019.09.051
- Fibrinogen links vascular pathology to cognitive decline.Nat Rev Neurol. 2019; 15: 187https://doi.org/10.1038/s41582-019-0154-8
- Association of visit-to-visit variability in blood pressure with cognitive function in old age: prospective cohort study.BMJ. 2013; 347: f4600https://doi.org/10.1136/bmj.f4600
- Blood pressure variability and the risk of dementia: a nationwide cohort study.Hypertension. 2020; 75: 982-990https://doi.org/10.1161/HYPERTENSIONAHA.119.14033
- Visit-to-visit variations in fasting plasma glucose and HbA1c associated with an increased risk of Alzheimer disease: Taiwan Diabetes Study.Diabetes Care. 2017; 40: 1210-1217https://doi.org/10.2337/dc16-2238
- Variability in metabolic parameters and risk of dementia: a nationwide population-based study.Alzheimers Res Ther. 2018; 10: 110https://doi.org/10.1186/s13195-018-0442-3
- Decline in weight and incident mild cognitive impairment: Mayo Clinic Study of Aging [published correction appears in JAMA Neurol. 2017;74(3):364].JAMA Neurol. 2016; 73: 439-446https://doi.org/10.1001/jamaneurol.2015.4756
- Eicosanoids and renal damage in cardiometabolic syndrome.Expert Opin Drug Metab Toxicol. 2008; 4: 165-174https://doi.org/10.1517/17425255.4.2.165
- Combining modifiable risk factors and risk of dementia: a systematic review and meta-analysis.BMJ Open. 2019; 9e022846https://doi.org/10.1136/bmjopen-2018-022846
- The separate and combined effects of adiposity and cardiometabolic dysfunction on the risk of recurrent cardiovascular events and mortality in patients with manifest vascular disease.Heart. 2014; 100: 1421-1429https://doi.org/10.1136/heartjnl-2014-305490
- Cohort profile: the English Longitudinal Study of Ageing.Int J Epidemiol. 2013; 42: 1640-1648https://doi.org/10.1093/ije/dys168
- Cognitive function and cardiometabolic-inflammatory risk factors among older Indians and Americans.J Am Geriatr Soc. 2020; 68: S36-S44https://doi.org/10.1111/jgs.16734
- Evaluating lifestyle and health-related characteristics of older adults with co-occurring depressive symptoms and cardiometabolic abnormalities.Int J Geriatr Psychiatry. 2016; 31: 66-75https://doi.org/10.1002/gps.4290
- Adjusting ferritin concentrations for inflammation: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia (BRINDA) project.Am J Clin Nutr.106. 2017: 359S-371Shttps://doi.org/10.3945/ajcn.116.141762
- Systemic inflammation during midlife and cognitive change over 20 years: the ARIC Study.Neurology. 2019; 92: e1256-e1267https://doi.org/10.1212/WNL.0000000000007094
- Visit-to-visit blood pressure variability is associated with cognitive decline and incident dementia: the S.AGES Cohort.Hypertension. 2020; 76: 1280-1288https://doi.org/10.1161/HYPERTENSIONAHA.119.14553
- Prognostic significance of visit-to-visit variability, maximum systolic blood pressure, and episodic hypertension.Yearbook of Cardiology. 2011; 2011: 6-8https://doi.org/10.1016/j.ycar.2011.01.063
- A Toolbox for Nonlinear Regression in R: The Package nlstools.J Stat Softw. 2015; 66: 1-21https://doi.org/10.18637/jss.v066.i05
- Visit-to-visit blood pressure variability-what is the current challenge?.Am J Hypertens. 2017; 30: 112-114https://doi.org/10.1093/ajh/hpw124
- Cardiovascular risk factors and cognitive decline in adults aged 50 and over: a population-based cohort study.Age Ageing. 2013; 42: 338-345https://doi.org/10.1093/ageing/afs166
- Taking up physical activity in later life and healthy ageing: the English Longitudinal Study of Ageing.Br J Sports Med. 2014; 48: 239-243https://doi.org/10.1136/bjsports-2013-092993
- A revised CES-D measure of depressive symptoms and a DSM-based measure of major depressive episodes in the elderly.Int Psychogeriatr. 1999; 11: 139-148https://doi.org/10.1017/s1041610299005694
- Higher visit-to-visit total cholesterol variability is associated with lower cognitive function among middle-aged and elderly Chinese men.Sci Rep. 2020; 10: 15555https://doi.org/10.1038/s41598-020-72601-7
- Cholesterol variability and the risk of mortality, myocardial infarction, and stroke: a nationwide population-based study.Eur Heart J. 2017; 38: 3560-3566https://doi.org/10.1093/eurheartj/ehx585
- Visit-to-visit cholesterol variability correlates with coronary atheroma progression and clinical outcomes.Eur Heart J. 2018; 39: 2551-2558https://doi.org/10.1093/eurheartj/ehy209
- Greater low-density lipoprotein cholesterol variability increases the risk of cardiovascular events in patients with type 2 diabetes mellitus.Endocr Pract. 2019; 25: 918-925https://doi.org/10.4158/EP-2019-0002
- Association between visit-to-visit variability of HbA1c and cognitive decline: a pooled analysis of two prospective population-based cohorts.Diabetologia. 2020; 63: 85-94https://doi.org/10.1007/s00125-019-04986-8
- Fasting glucose variability in young adulthood and cognitive function in middle age: the Coronary Artery Risk Development in Young Adults (CARDIA) Study.Diabetes Care. 2018; 41: 2579-2585https://doi.org/10.2337/dc18-1287
- Serum hepcidin levels, iron dyshomeostasis and cognitive loss in Alzheimer's disease.Aging Dis. 2017; 8: 215-227https://doi.org/10.14336/AD.2016.0811
- Correlation of iron in the hippocampus with MMSE in patients with Alzheimer's disease.J Magn Reson Imaging. 2009; 29: 793-798https://doi.org/10.1002/jmri.21730
- Body weight variability in midlife and risk for dementia in old age.Neurology. 2013; 80: 1677-1683https://doi.org/10.1212/WNL.0b013e3182904cee
- Body weight variability increases dementia risk among older adults: a nationwide population-based cohort study.Front Endocrinol (Lausanne). 2020; 11: 291https://doi.org/10.3389/fendo.2020.00291
- Executive summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III).JAMA. 2001; 285: 2486-2497https://doi.org/10.1001/jama.285.19.2486
- Obesity: preventing and managing the global epidemic: report of a WHO consultation (WHO technical report series 894).WHO, Geneva, Switzerland2000https://www.who.int/nutrition/publications/obesity/WHO_TRS_894/en/(Published)Date accessed: May 4, 2021
- Role of insulin resistance in human disease (syndrome X): an expanded definition.Annu Rev Med. 1993; 44: 121-131https://doi.org/10.1146/annurev.me.44.020193.001005
- Role of endothelial dysfunction in atherosclerosis.Circulation. 109. 2004: III27-III32https://doi.org/10.1161/01.CIR.0000131515.03336.f8
- Cholesterol in human atherosclerotic plaque is a marker for underlying disease state and plaque vulnerability.Lipids Health Dis. 2010; 9: 61https://doi.org/10.1186/1476-511X-9-61
- Association between circulating hemostatic measures and dementia or cognitive impairment: systematic review and meta-analyzes.J Thromb Haemost. 2011; 9: 1475-1482https://doi.org/10.1111/j.1538-7836.2011.04403.x
- Intermittent high glucose enhances apoptosis related to oxidative stress in human umbilical vein endothelial cells: the role of protein kinase C and NAD(P)H-oxidase activation.Diabetes. 2003; 52: 2795-2804https://doi.org/10.2337/diabetes.52.11.2795
- Constant and intermittent high glucose enhances endothelial cell apoptosis through mitochondrial superoxide overproduction.Diabetes Metab Res Rev. 2006; 22: 198-203https://doi.org/10.1002/dmrr.613
- Iron (III) induces aggregation of hyperphosphorylated tau and its reduction to iron (II) reverses the aggregation: implications in the formation of neurofibrillary tangles of Alzheimer's disease [published correction appears in J Neurochem. 2003;86(6):1568].J Neurochem. 2002; 82: 1137-1147https://doi.org/10.1046/j.1471-4159.2002.t01-1-01061.x
- Weight cycling during growth and beyond as a risk factor for later cardiovascular diseases: the “repeated overshoot” theory [published correction appears in Int J Obes (Lond). 2010;34(7):1230].Int J Obes (Lond). 2006; 30: S58-S66https://doi.org/10.1038/sj.ijo.0803520
- Association between weight fluctuation and fasting insulin concentration in Japanese men.Int J Obes Relat Metab Disord. 2003; 27: 478-483https://doi.org/10.1038/sj.ijo.0802221
- Personality and obesity across the adult lifespan.J Pers Soc Psychol. 2011; 101: 579-592https://doi.org/10.1037/a0024286
- Metabolic cardiovascular syndrome and risk of dementia in Japanese-American elderly men. The Honolulu-Asia Aging Study.Arterioscler Thromb Vasc Biol. 2000; 20: 2255-2260https://doi.org/10.1161/01.atv.20.10.2255
- Postprandial plasma glucose excursions and cognitive functioning in aged type 2 diabetics.Neurology. 2006; 67: 235-240https://doi.org/10.1212/01.wnl.0000224760.22802.e8
- Summary of the evidence on modifiable risk factors for cognitive decline and dementia: a population-based perspective.Alzheimers Dement. 2015; 11: 718-726https://doi.org/10.1016/j.jalz.2015.05.016
Article Info
Publication History
Published online: June 15, 2021
Identification
Copyright
© 2021 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.