scholarly journals Biopsychosocial Correlates of Cognitive Function Among Korean Older Adults: History of Hypertension and Diabetes

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 970-970
Author(s):  
Kyuyoung Cho ◽  
Hye Won Chai

Abstract Based on biopsychosocial perspectives on health, this study examined risk and protective factors of cognitive function among Korean older adults. Specifically, we focused on comparing the role of these factors based on the respondents' history of having hypertension or diabetes. This study used 2009 Korean National Health Insurance Service data that included a sample of older adults who maintained qualification for health insurance and medical aid in 2002 (n=26,242). Cognitive function was measured using KDSQ-C and biopsychosocial factors included metabolic syndrome, drinking, smoking, and walking. The sample was divided into two groups based on their medical history, and thus four sets of linear regression models were analyzed to explore the associations between biopsychosocial factors and cognitive functioning. Among individuals with a history of hypertension, metabolic syndrome, drinking, and walking were associated with cognitive functioning. For those without a history of hypertension, only drinking and walking were associated with cognitive functioning. For diabetes, smoking and walking were associated with cognitive functioning among older adults with a history of diabetes. For those without a history of diabetes, drinking and walking were associated with cognitive functioning. In sum, metabolic syndrome was a particularly significant correlate of cognitive function among Korean older adults with a history of hypertension. Walking was a consistently significant factor regardless of medical history. These results highlight the importance of considering medical history of chronic conditions such as hypertension and diabetes in identifying factors associated with older adults' cognitive function and further developing tailored prevention programs for cognitive decline.

2020 ◽  
Author(s):  
YEO JIN KIM ◽  
Sang Mi Kim ◽  
Dae Hyun Jeong ◽  
Sang-Kyu Lee ◽  
Moo-Eob Ahn ◽  
...  

Abstract BackgroundMetabolic syndrome is a cluster of conditions that occur together, increasing the risk of cardiovascular disease. However, the relationshipbetween metabolic syndrome and dementia has remained controversial. Using nationwide population cohort data, we investigated the associationbetween metabolic syndrome and dementia,according to the dementia type.MethodsWe analyzed data of 84,144 individuals,in the aged group of more than 60 years,between January 1, 2009,to December 31, 2009, at Gangwon province by using the information of the(Korean) National Health Insurance Service. After eight years of gap, in 2017, we investigated the relationship between metabolic syndrome and dementia. We classified Dementia either as dementia of the Alzheimer type (AD) or vascular dementia (VD). AD and VD were defined according to criteria in the International Classification of Disease, Tenth Revision, Clinical Modification codes.ResultsMetabolic syndrome was associated with AD, while it was not associated with VD. All five components of metabolic syndrome were associated with AD, independently. However, among components of metabolic syndrome, only the high glucose level was associated with VD. Body Mass Index (BMI), fasting glucose and smoking were also associated with AD. A history of the previous stroke was associated with both AD and VD.ConclusionsMetabolic syndrome was associated with AD, while was not associated with VD. VD was associated only with several risk factors that could affect the vascular state rather than a metabolic syndrome. We suggested that the effect of metabolic syndrome on dementia would be different depending on the type of dementia.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S483-S483
Author(s):  
Aparna Vadlamani ◽  
Jennifer Albrecht

Abstract Patient reported history of comorbid illness may be the only information available to the treatment team during an acute injury admission. Nevertheless, acute injury, particularly traumatic brain injury (TBI) which affects cognition, may decrease the patient’s ability to accurately report medical history. Thus, the objective of this study was to evaluate the accuracy of patient-reported comorbid illness burden compared to the patient’s Medicare administrative claims. Records of older adults treated for TBI at an urban level 1 trauma center 2006-2010 were linked to their Medicare administrative. Comorbidities were recorded in Medicare claims based on ICD9 codes and were reported in the trauma registry (TR) based on patient medical history recorded by a physician or nurse. Prevalence of each of the following comorbidities was calculated using information from the TR and claims: Alzheimer’s disease and related dementias, chronic kidney disease, COPD, heart failure, diabetes, depression, stroke, and hypertension. Sensitivity of each patient-reported comorbidity was calculated using Medicare claims as the gold standard. We identified patient factors associated with accurate self-report using logistic regression. Among 408 older adults with TBI that linked to their Medicare claims, prevalence of each comorbidity was higher in Medicare claims compared to the TR, except for hypertension. Sensitivity for detecting these comorbidities using the TR ranged from 2% to 68%, with the highest sensitivity observed for hypertension. Older age and race were predictors of less accurate reported medical history. Reconciling self-reported patient history of these comorbidities with those reported in claims can better inform decisions regarding treatment.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S453-S453
Author(s):  
Rebecca Robbins ◽  
Amanda Sonnega ◽  
Robert W Turner II ◽  
Girardin Jean-Louis ◽  
Kenneth Langa

Abstract Prior studies suggest that sleep difficulties (e.g., trouble falling asleep) may be associated with cognitive impairment. We used a large, nationally representative longitudinal survey of adults over the age of 50 in the US to examine the relationship between sleep difficulties and cognitive functioning. Generalized estimation equation (GEE) linear regression models were used to analyze data from the 2004-2014 waves of the Health and Retirement Study. We examined sleep difficulties and cognitive functioning within participants and across time (n=17,642). Sleep difficulty was measured as trouble falling asleep, nocturnal awakenings, and waking too early scored as 1= rarely/never, 2=sometimes, and 3=most of the time. A summary score indicated cognitive functioning (range 0-27). Models controlled for age, gender, race/ethnicity, marital status, education, chronic medical conditions, depressive symptoms, and body mass index (BMI). Compared to those with no sleep difficulties, those who reported difficulty falling asleep [“sometimes” OR=0.83,95%CI:0.71-0.96 and “most of the time” OR=0.79,95%CI: 0.64-0.98] and waking too early [“most of the time” OR=0.79,95%CI: 0.63-0.98] had worse cognitive functioning. Compared to those with no sleep difficulties, those who reported nocturnal awakenings [“most of the time” OR=1.29,95%CI:1.08-1.54] had higher cognitive functioning. Over time, lower cognitive function was more likely among those reporting difficulty falling asleep (OR=0.73,95%CI:0.54-0.97), nocturnal awakenings (OR=0.77,95%CI:0.61-0.97) and waking too early (OR=0.65,95%CI: 0.47-0.88). In this nationally representative, longitudinal sample of older US adults, we found that over time lower cognitive function was more likely among those who reported difficulty falling asleep, nocturnal awakenings, and waking too early.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Karen D. Mumme ◽  
Pamela R. von Hurst ◽  
Cathryn A. Conlon ◽  
Beatrix Jones ◽  
Crystal F. Haskell-Ramsay ◽  
...  

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Min-Kyung Lee ◽  
Kyungdo Han ◽  
Hyuk-Sang Kwon

Abstract Background Metabolic syndrome is associated with an increased risk of diabetes. This study investigated the associations between the number of metabolic syndrome components and diabetes risk by age, sex and BMI. Methods Data for 19,475,643 participants ≥ 20 years old with no history of diabetes were obtained between 2009 and 2012 and were accessed using the South Korean National Health Insurance Service. Metabolic syndrome was defined according to the modified criteria of the National Cholesterol Education Program Adult Treatment Panel III. We assessed the risk of diabetes according to the number of metabolic syndrome components after stratifying the study participants into groups by age (20–39, 46–64, ≥ 65 years), sex, and BMI (below or above 25). Results During an average of 5.13 years of follow-up, the incidence rates of diabetes increased with the number of metabolic syndrome components. Age and BMI gradually increased with the number of metabolic syndrome components. The multivariable-adjusted hazard ratios (HRs) for incident diabetes were 1.401, 1.862, 2.47, 3.164 and 4.501 for participants with one through five components, respectively, compared with those without metabolic syndrome components. The risk of diabetes was 1.79-, 2.18-, and 3.05-times higher for participants ≥ 65 years; 2.57-, 3.45-, and 5.18-times higher for participants 40–64 years; and 2.55-, 3.89-, and 6.31-times higher for participants 20–39 years of age with three through five components, respectively, compared to those with no components. There was no difference in the risk of diabetes between men and women. The HRs were 5.63 for participants with a BMI ≥ 25 and 3.98 for those with a BMI < 25 among individuals with five components. Conclusions The risk of diabetes was more strongly associated with the number of metabolic syndrome components among younger adults. In addition, the risk of diabetes across the number of metabolic syndrome components was greater in participants with a BMI ≥ 25.


2013 ◽  
Vol 26 (6) ◽  
pp. 735-743 ◽  
Author(s):  
Joanne Feeney ◽  
Yumiko Kamiya ◽  
Ian H. Robertson ◽  
Rose Anne Kenny

Author(s):  
Chan Joo Lee ◽  
Ji-Yeon Lee ◽  
Kyungdo Han ◽  
Da Hye Kim ◽  
Hanna Cho ◽  
...  

There are inconsistent results on the impacts of controlling blood pressure (BP) on the risk of dementia. We investigated the association between BP and risk of dementia subtypes by antihypertensive treatment and comorbidities. Using the Korean National Health Insurance Service-Health Screening Database from 2009 to 2012, a total of 4 522 447 adults aged 60+ years without a history of dementia were analyzed and followed up for a mean of 5.4 years. Individuals were classified according to their baseline systolic BP (SBP) and diastolic BP; SBP 130 to <140 mm Hg and diastolic BP 80 to <90 mm Hg were used as reference groups. The risk of overall dementia and probable Alzheimer disease was significantly higher in the SBP≥160 and lower SBP groups. These U-shaped associations were consistent regardless of antihypertensive use or comorbidities. The risk of probable vascular dementia (VaD) was not higher among lower SBP groups and increased gradually as SBP increased. Although there was a linear association between SBP and the risk of probable VaD in individuals not taking antihypertensives or without comorbidities, there was a U-shaped association in individuals taking antihypertensives or with comorbidities. Patterns of association between diastolic BP and risk of probable Alzheimer disease or probable VaD were similar to those with SBP, except for the risk of probable VaD in individuals taking antihypertensives. In conclusion, risks of probable Alzheimer disease and probable VaD were different among lower BP groups. Although the risk of dementia appears higher in people with lower BP receiving antihypertensives, this finding may be affected by comorbidities.


Hypertension ◽  
2017 ◽  
Vol 70 (suppl_1) ◽  
Author(s):  
Eun Joo Cho ◽  
Sungha Park ◽  
Hae Young Lee ◽  
Ki Chul Sung ◽  
Wook Bum Pyun ◽  
...  

Background: Population based study demonstrated that obesity (defined as increased body mass index, BMI) is important predictor for developing hypertension and diabetes mellitus (DM), which have been well known major cardiovascular (CV) risk factors. Increased waist circumference (WC) representative of central obesity is focused as main factor for developing CV disease and its major risks. This study was to evaluate obesity as a predictor for new onset of hypertension and DM within 1-year in previously normotensives or normoglycemic subjects. Methods: The Korean National Health Insurance Service - National Sample Cohort (NHIS-NSC) established data about BMI and WC with medical, social and familial histories in 2009 and have been followed up for 1 years. Among total 349257 subjects with age more than 20 year-old, 95124 (normotensive group: 75.2% of population were 25-55 year-old, 54121(56.9%) male) of normotensives for evaluate new hypertension and 120501 (normoglycemic group: 83.6% of population were 25-65 year-old, 67183 (55.8%) male) normoglycemic subjects for evaluate new DM were analyzed. Results: During 1-year follow-up period, 3773 (3.97%) new hypertension in normotensive group and 1594 (1.32%) new DM in normoglycemic group were developed. Binary logistic regression analysis revealed that BMI was the predictor (Exp(B)=1.18, Sig<0.001) for new onset hypertension with age (Exp(B)=1.31, Sig<0.001), sex (Exp(B)=0.664, Sig<0.001), dyslipidemia and family history of hypertension. For new onset DM, WC (Exp(B)=1.04, Sig<0.001), age (Exp(B)=1.26, Sig<0.001), sex Exp(B)=0.664, Sig<0.001) and family history of DM (Exp(B)=1.76, Sig<0.001) were the independent predictors. Conclusion: Increase of BMI is independent predictor for new onset hypertension and increase of WC is independent predictor for new onset DM within 1-year. Obesity type might affects development of different major CV risks and hence, obesity itself is the important risk factor for CV disease.


2018 ◽  
Vol 120 (5) ◽  
pp. 517-527 ◽  
Author(s):  
Ontefetse Ntlholang ◽  
Kevin McCarroll ◽  
Eamon Laird ◽  
Anne M. Molloy ◽  
Mary Ward ◽  
...  

AbstractPrevious reports investigating adiposity and cognitive function in the population allude to a negative association, although the relationship in older adults is unclear. The aim of this study was to investigate the association of adiposity (BMI and waist:hip ratio (WHR)) with cognitive function in community-dwelling older adults (≥60 years). Participants included 5186 adults from the Trinity Ulster Department of Agriculture ageing cohort study. Neuropsychological assessment measures included the Mini-Mental State Examination (MMSE), Frontal Assessment Battery (FAB) and Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Multi-variable linear regression models were used to assess the association between adiposity and cognitive function adjusting for insulin resistance, inflammation and cerebrovascular disease. The mean ages were 80·3 (sd6·7), 71·0 (sd7·3) and 70·2 (sd6·3) years on the cognitive, bone and hypertensive cohorts, respectively. In the cognitive cohort, BMI was positively associated with immediate and delay memory, visuospatial/constructional ability, language and MMSE, and negatively with FAB (log-transformed), whereas WHR was negatively associated with attention. In the bone cohort, BMI was not associated with any cognitive domain, whereas WHR was negatively associated with visuospatial/constructional ability, attention and MMSE. In the hypertensive cohort, BMI was not associated with any cognitive domain, whereas WHR was negatively associated with immediate and delayed memory, visuospatial/constructional ability, language and MMSE and positively with FAB (log-transformed). In the cognitive and bone cohorts, the association of WHR and attention disappeared by further controlling for C-reactive protein and HbA1C. In this study of older adults, central adiposity was a stronger predictor of poor cognitive performance than BMI. Older adults could benefit from targeted public health strategies aimed at reducing obesity and obeseogenic risk factors to avoid/prevent/slow cognitive dysfunction.


Sign in / Sign up

Export Citation Format

Share Document