Depressive symptoms and metabolic syndrome components among older Chinese adults

Liu, Jinghong; Qian, Yufeng; Ma, Qiang; Sun, Hongpeng; Xu, Yong; Pan, Chen-Wei

doi:10.1186/s13098-020-00526-2

Cited by 16 publications

(9 citation statements)

References 46 publications

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“…Распространенность данной патологии увеличивается при старении у лиц обоих полов. В то же время, несмотря на то, что симптомы депрессии, наблюдаемые в пожилом возрасте, были связаны с компонентами МС (повышенным уровнем глюкозы в плазме натощак и диабетом), эта связь была менее выражена у женщин [30]. Нарушения сна также характерны для лиц старшей возрастной группы.…”

Section: факторы обусловливающие распространенность метаболического синдромаunclassified

Prevalence and biomarkers in metabolic syndrome

et al. 2021

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The prevalence of metabolic syndrome (MS) has a worldwide tendency to increase and depends on many components, which explains the complexity of diagnostics and approaches to the prevention and treatment of this pathology. Age, lifestyle, socioeconomic status, insulin resistance (IR), dyslipidemia, obesity and genetic predisposition are factors influencing the risk of developing and progression of MS. Features of the distribution and dysfunction of adipose tissue are important factors in the development of IR, with obesity, as well as the risk of the formation of cardiometabolic diseases and MS. Understanding of mechanisms is linked to advances in metabolic phenotyping. Metabolic phenotyping of obese persons is important for the development of important diseases in relation to the study of the pathophysiology of metabolic disorders, the possible concomitant disease and the search for innovative strategies for the prevention and treatment of MS. The understanding of MS mechanisms is associated with advances in metabolic phenotyping. Therefore, the relevance of further study of the pathophysiological mechanisms underlying various metabolic phenotypes of MS is one of the promising areas of modern scientific research. This review summarizes the current literature data on the prevalence of MS depending on gender, age, population, area of residence, education, level of physical activity, and many other parameters. Metabolic risks of MS development are detailed. Biological markers of MS are considered. The necessity of metabolic phenotyping of MS has been shown, which may have potential therapeutic value.

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Section: факторы обусловливающие распространенность метаболического синдромаunclassified

Prevalence and biomarkers in metabolic syndrome

et al. 2021

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“…The Weitang Geriatric Diseases Study is a communitybased study conducted in Weitang town located in Suzhou of China from August 2014 to January 2015. The detailed study protocol and some other findings have been reported in previous reports (7,8,9,10,11). In brief, invitation letters were sent to 6030 residents aged 60 years or older in the Weitang town based on official records.…”

Section: Study Populationmentioning

confidence: 99%

Platelet parameters in Chinese older adults with metabolic syndrome

Yang

Zhang

Ma³

et al. 2020

Endocrine Connections

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Purpose: We aimed to examine the associations of platelet parameters with the presence of metabolic syndrome in community-dwelling older Chinese adults. Methods: Study sample was from the Weitang Geriatric Diseases Study, which included 4338 individuals aged 60 years or above. The mean age of the participants was 68 years. Metabolic syndrome was defined based on the Adult Treatment Panel Ⅲ criteria. Platelet parameters were assessed using an automated hematology analyzer. Multiple logistic regression models were fitted to examine relationships between the platelet parameters and the presence of metabolic syndrome after adjusting for potential confounders. Results: The adjusted odds ratio (95% confidence interval) of metabolic syndrome for the highest quartile of platelet parameters (platelet count, mean platelet volume, plateletcrit, platelet distribution width, platelet larger cell ratio), when compared to the lowest quartile were 1.32 (1.06, 1.64), 1.00 (0.81, 1.24), 1.37 (1.10, 1.71),1.45 (1.14, 1.83), 1.11 (0.89, 1.39), respectively. Hypertension and diabetes modified the relationship between platelet distribution width and metabolic syndrome with the associations being significant in hypertensive and non-diabetic groups. The levels of platelet distribution width increased with the risk of metabolic syndrome in men but not in women. Conclusion: The levels of platelet count, plateletcrit and platelet distribution width increased in older adults with metabolic syndrome, suggesting that these parameters may be useful biomarkers for further risk appraisal of metabolic syndrome in aged population.

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“…Details of the baseline study have been described elsewhere. [15][16][17] In the baseline examinations, 6030 families who had an older adult aged 60 years or older based on local official records received an invitation letter, which explained the nature of the study and invited the older adults to participate. Exclusion criteria applied to those who had been living there shorter than six months, had migrated from the residing address, or had deceased.…”

Section: Study Design and Proceduresmentioning

confidence: 99%

<p>Metabolic Syndrome and 5-Year Incident Hyperuricemia Among Older Chinese Adults: A Community-Based Cohort Study</p>

Liu

Ma²,

et al. 2020

DMSO

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Background: There was a lack of studies focusing on older adults about the longitudinal association between metabolic syndrome (MetS) and hyperuricemia (HUA). We aimed to assess the association of baseline MetS and incident HUA among older Chinese adults, with a special focus on the associations between different combinations of MetS components and HUA. Methods: Data of 3247 Chinese adults aged 60 years or older included in a communitybased longitudinal cohort study were analyzed. Anthropometric examinations and collection of blood sample were conducted both at baseline and follow-up. HUA was defined as 7 mg/dl or above for men and 6 mg/dl or greater for women. MetS was assessed based on the National Cholesterol Education Program-Adult Treatment Panel III, and older adults with the presence of at least three of MetS components were considered as having MetS. Results: MetS and its components, including high blood pressure (BP), high body mass index, diabetes mellitus and high triglycerides, were significantly related to incident HUA. The association between high BP and incident HUA is strongest among the five MetS components. Among all combinations of MetS components, the group consisting of diabetes mellitus, high BP and high triglycerides had the highest odds for incident HUA (OR = 13.07, 95% CI = 4.95-34.54). Conclusion: MetS and its components, except for low high-density lipoprotein cholesterol, could increase the risk of HUA among community-dwelling older adults, and high BP may be the most important determinant.

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Depressive symptoms and metabolic syndrome components among older Chinese adults

Cited by 16 publications

References 46 publications

Prevalence and biomarkers in metabolic syndrome

Prevalence and biomarkers in metabolic syndrome

Platelet parameters in Chinese older adults with metabolic syndrome

<p>Metabolic Syndrome and 5-Year Incident Hyperuricemia Among Older Chinese Adults: A Community-Based Cohort Study</p>

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