Association Between Lipid Accumulation Product and Cognitive Function in Hypertensive Patients With Normal Weight: Insight From the China H-type Hypertension Registry Study

Xie, Yanyou; Li, Junpei; Yu, Guotao; Zhou, Xinlei; Zhou, Wei; Zhu, Lingjuan; Wang, Tao; Huang, Xiao; Bao, Huihui; Cheng, Xiaoshu

doi:10.3389/fneur.2021.732757

Cited by 5 publications

(5 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To our knowledge, this is the first report on the threshold effect of plasma tHcy levels on MMSE scores in hypertensive populations, which might be attributed to geographic regional differences and higher levels of plasma tHcy in this crowd ( 28 – 30 ). A hypertensive population with higher tHcy levels was relatively common in China ( 28 ).…”

Section: Discussionmentioning

confidence: 77%

Threshold effect of plasma total homocysteine levels on cognitive function among hypertensive patients in China: A cross-sectional study

Wang

Chen

et al. 2022

Front. Neurol.

Self Cite

View full text Add to dashboard Cite

BackgroundIncreased plasma total homocysteine (tHcy) is an influencing factor of cognitive impairment in the general population. However, studies on the relationship between the risk of cognitive impairment and plasma tHcy levels in patients with hypertension are limited. This study aimed to explore the association between plasma tHcy levels and cognitive function assessed by MMSE scores among hypertensive patients in China.MethodsA total of 9,527 subjects from the Chinese Hypertension Registry Study participated in this study. Plasma tHcy levels were quantified by high-performance liquid chromatography using a fluorescence detector. Cognitive assessment was performed using the Mini-Mental State Examination (MMSE). Linear regression models, two piecewise linear regression models, and smoothing curve fitting were applied to determine the relationship between plasma tHcy levels and cognitive function.ResultsThis analysis included 9,527 Chinese hypertensive adults. Based on the results of linear regression models, a negative relationship was identified between plasma tHcy levels and MMSE scores [beta coefficient (β) per standard deviation (SD) increase: −0.26, 95% confidence interval (CI) −0.35, −0.16, P < 0.001]. The fully adjusted smooth curve fitting presented a nonlinear between plasma tHcy levels and MMSE scores. The threshold effect analysis showed that the inflection point of tHcy was about 27.1 μmol/L. The effect size [β (95% CI)] per SD increase in plasma tHcy concentrations on MMSE scores was −0.93 (−1.24, −0.6) on the left side and −0.07 (−0.24, 0.10) on the right side of the inflection point (P-value for log-likelihood ratio (LLR) test was <0.001). Moreover, subgroup analyses revealed that sex could influence the negative association between plasma tHcy levels and MMSE scores up to a specific threshold (P-value for interaction <0.001). Linear regression models indicated that there was an enhanced inverse association between tHcy levels and MMSE scores in female patients with tHcy concentrations less than 26.9 μmol/L compared to male patients with tHcy concentrations less than 32.0 μmol/L.ConclusionsPlasma tHcy levels had a threshold effect on MMSE scores among hypertensive patients in China. Increased plasma tHcy levels were independently inversely associated with cognitive decline among hypertensive patients with tHcy concentrations <27.1 μmol/L.

show abstract

Section: Discussionmentioning

confidence: 77%

Threshold effect of plasma total homocysteine levels on cognitive function among hypertensive patients in China: A cross-sectional study

Wang

Chen

et al. 2022

Front. Neurol.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Hypertension was de ned as systolic blood pressure ≥ 140mmHg or diastolic blood pressure ≥ 90mmHg or the use of antihypertensive medication (10).…”

Section: De Nition Of Hypertensionmentioning

confidence: 99%

“…It is a highly sensitive cognitive screening tool that detects and discriminates patients with cognitive impairment from cognitively normal individuals. The MMSE has a total score of 30, with higher scores indicating better cognitive function (10).…”

Section: Cognitive Function Assessmentmentioning

confidence: 99%

Physical Activity, Sleep Disorders, and Type of Work in the Prevention of Mild Cognitive Impairment in Patients with Hypertension

Zhang

Jiao

Wang

et al. 2023

Preprint

View full text Add to dashboard Cite

Background Hypertensive patients are likelier to have mild cognitive impairment (MCI). This study aimed to explore physical activity level, sleep disorders, and type of work that influenced intervention effects on mild cognitive impairment in hypertensive patients and to establish a decision tree model to analyze their predictive significance on the incidence of MCI in hypertensive patients. Methods We performed a retrospective analysis of clinical data from 733 hypertensive patients, consisting of 356 males and 377 females with a mean age of 67.72 ± 10.79 years. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), and sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Moreover, we obtained information on the patients' type of work through a questionnaire and their level of physical activity through the International Physical Activity Questionnaire (IPAQ). Statistical analysis was performed using various methods, including T-test, Mann-Whitney U test, χ2 test, logistic regression, and decision tree. Finally, the ROC curve was plotted to evaluate the predictive ability of the decision tree model. Results The logistic regression analysis results indicate that sleep disorder is a significant risk factor for MCI in hypertension patients. Mental workers and those who perform manual and mental workers work exhibit protective effects against MCI. Compared to low-intensity and moderate physical activity, high-intensity physical activity protects against MCI in hypertension patients. The importance of predictors in the decision tree model was ranked as follows: physical activity level (54%), type of work (27%), and sleep disorders (19%). The area under the ROC curves the decision tree model predicted was 0.719 (95% CI: 0.677–0.761, p ＜0.001). Conclusion The probability of MCI is the largest in hypertensive patients with low-intensity activities or less. Sleep disorders is a risk factor for MCI in hypertensive patients. Hypertensive patients who engage in mental work and high-intensity physical activity effectively mitigate the onset of MCI in hypertensive patients.

show abstract

“…Lipid accumulation product (LAP), an index calculated from waist circumference and TG levels, represents fat overaccumulation in the body and has been shown to be related to cardiovascular diseases. In a study of 5542 Chinese hypertensive patients with normal weight, higher LAP was associated with better Mini-Mental State Examination (MMSE) score, indicating a positive correlation between LAP and cognitive function ( Xie et al, 2021 ). This phenomenon was explained as leptin produced by adipose tissue could promote neurogenesis and synaptogenesis ( Marwarha and G.G., 2012 ).…”

Section: Humanmentioning

confidence: 99%

The effect of lipid metabolism on age-associated cognitive decline: Lessons learned from model organisms and human

Wu,

Liu,

Yang

et al. 2023

IBRO Neuroscience Reports

View full text Add to dashboard Cite

Association Between Lipid Accumulation Product and Cognitive Function in Hypertensive Patients With Normal Weight: Insight From the China H-type Hypertension Registry Study

Cited by 5 publications

References 31 publications

Threshold effect of plasma total homocysteine levels on cognitive function among hypertensive patients in China: A cross-sectional study

Threshold effect of plasma total homocysteine levels on cognitive function among hypertensive patients in China: A cross-sectional study

Physical Activity, Sleep Disorders, and Type of Work in the Prevention of Mild Cognitive Impairment in Patients with Hypertension

The effect of lipid metabolism on age-associated cognitive decline: Lessons learned from model organisms and human

Contact Info

Product

Resources

About