Metabolically healthy obesity increases the prevalence of stroke in adults aged 40 years or older: Result from the China National Stroke Screening survey

Ge, Liang; Liu, Mengying; Zheng, Guowei; Yu, Hongxiang; Ya-ge, Shi; Zhang, Yihe; Wang, Hao; Li, Yapeng; Xu, Yuming; Lu, Jie

doi:10.1016/j.ypmed.2021.106551

Cited by 4 publications

(3 citation statements)

References 33 publications

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“…Based on previously published studies [18,[21][22][23], indicators affecting the association between obese phenotype and CAP were considered covariates. In this respect, demographic characteristics (e.g., age), history of CVD (e.g., coronary atherosclerotic heart disease and myocardial infarction), lifestyle habits (e.g., smoking and alcohol drinking habits, and circadian rhythms), and some clinical biomarkers were collected by trained physicians and nurses to minimize bias.…”

Section: Covariatesmentioning

confidence: 99%

Association between obese phenotypes and risk of carotid artery plaque among chinese male railway drivers

et al. 2022

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Background China has the world’s highest rail transportation network density, and the prevalence of obesity among railway workers in China is more than twice that of adults in the world. Carotid artery plaque (CAP) is a simple and noninvasive predictor of early atherosclerosis, while the association between different obese phenotypes and CAP risk among Chinese male railway drivers is unclear. Methods This cross-sectional study was performed among 8,645 Chinese male railway drivers. Obese phenotypes were assessed based on the obesity status (the body mass index ≥ 28 kg/m2 as obesity vs. < 28 kg/m2 as non-obesity) and metabolic status (metabolically healthy vs. metabolically unhealthy). Metabolically unhealthy was defined as the presence of at least one dysfunction, including elevated blood pressure, elevated fasting blood glucose, elevated triglyceride, and reduced high-density-lipoprotein cholesterol. Four obese phenotypes were defined based on the body mass index and metabolic status, i.e., metabolically healthy non-obesity (MHNO), metabolically healthy obesity (MHO), metabolically unhealthy obesity (MUO), and metabolically unhealthy non-obesity (MUNO). Multivariable logistic regression was employed to estimate the association between different obese phenotypes and the risk of CAP. Subgroup analysis was performed to examine the variation of the association by age, circadian rhythm disorders, and history of smoking and drinking. Results The prevalence of CAP among male railway drivers in MHO, MUO, MUNO, and MHNO was 8.75%, 18.67%, 17.82%, and 5.36%, respectively. Compared to those with MHNO, an increased risk for CAP was observed among those with MHO (OR = 2.18, 95% CI: 0.82, 5.10), MUO (OR = 1.78, 95% CI:1.44, 2.21), and MUNO (OR = 2.20, 95% CI: 1.67, 2.89). The subgroup analysis showed that both of the metabolically unhealthy groups (MUNO and MUO) aged < 45 years were prone to a higher risk of CAP (for the MUNO group, OR = 4.27, 95% CI:2.71, 7.10; for the MUO group, OR = 4.00, 95%CI: 2.26, 7.17). Conclusion The obese phenotypes are associated with CAP risk in male railway drivers, especially those with metabolically unhealthy conditions aged < 45 years.

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Section: Covariatesmentioning

confidence: 99%

Association between obese phenotypes and risk of carotid artery plaque among chinese male railway drivers

et al. 2022

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“…Compared with MHO and MUO, people with the MUNO phenotype are often ignored because of their normal body size, but in fact, the risks of insulin resistance, chronic kidney disease, and long-term cardiovascular and cerebrovascular diseases in this phenotype of people are higher than those in the MHO population who are metabolically healthy but obese (50)(51)(52). Furthermore, it is noteworthy that a study including 1950 normal weight subjects of different ethnic groups in different countries found that the prevalence of MUNO phenotype was significantly higher in Asians than in Caucasians (53).…”

Section: Discussionmentioning

confidence: 99%

Chinese famine exposure in early life and metabolic obesity phenotype in middle age: Results from the China health and retirement longitudinal study

Yi²,

Shan³

et al. 2022

Front. Endocrinol.

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ObjectiveTo assess the association between early life exposure to famine and the risk of metabolic obesity phenotypes among adults in middle age.MethodsThe study selected two comparison groups. Comparison A consisted of a non-exposed group born between 1963-1965 from the China Health and Retirement Longitudinal Study (CHARLS) 2015 wave (N=862) and a fetal-exposed group born between 1959-1961 from the 2011 wave (N=507). Comparison B consisted of an early childhood-exposed group born between 1955-1957 from the 2011 wave (N=830) and a fetal-exposed group born between 1959-1961 from the 2015 wave (N=552). Multivariable logistic regressions were conducted to explore the associations between different periods of famine exposure and obesity, metabolic health status, and metabolic obesity phenotypes, with stratification by sex.ResultsCompared with the non-exposed group, participants exposed to famine in the fetal period had a significantly lower risk of overweight/obesity (OR: 0.78, 95%CI: 0.63-0.97) and a higher risk of metabolically unhealthy status (OR: 1.73, 95%CI: 1.34-2.23) and metabolically unhealthy non-obesity (MUNO) (OR: 2.12, 95%CI: 1.46-3.08) at the age of 50-52 years. In the sex-stratified analysis, males exposed to famine in the fetal period had a significantly lower risk of overweight/obesity (OR: 0.59, 95%CI: 0.43-0.80) and metabolically healthy obesity (MHO) (OR: 0.56, 95%CI: 0.37-0.85), while such associations were not found in females. Compared with the early childhood exposure group, participants in the fetal exposure group had a significantly lower risk of metabolic unhealthy status (OR: 0.65, 95%CI: 0.51-0.85) and MUNO (OR: 0.50, 95%CI: 0.35-0.72). Those associations were observed in both males and females.ConclusionExposure to famine in early life increased the risk of metabolically unhealthy status in adulthood. Different metabolic subtypes should be identified at an early stage and followed by classification, intervention, and treatment.

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“…Research has shown that as Body Mass Index (BMI) increases, the risk of stroke correspondingly increases [45] . This was demonstrated in a national survey study which revealed that people with metabolically healthy obesity were still at a higher risk of stroke than non-obese groups, although the risk was lower than those with metabolically unhealthy obesity [46] . These results indicate that obesity is an independent factor in the development of stroke [47] .…”

Section: Heart Strokementioning

confidence: 93%

Recapitulating The Etiology And Pathophysiology Of Obesity Epidemic: A Comprehensive Guide To Associated Biomarkers And Pharmacotherapy

Goel¹

2023

Journal of Pharmaceutical Negative Results

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Obesity or Adiposity is a worldwide common health problem that is related with an augmented risk of a number of medical conditions, morbidity and mortality. This mini review recapitulates the epidemiology, Etiology, associated comorbidities, biomarkers and available pharmacotherapy of obesity. The epidemiology of obesity is increasing in low-, middle- and high-income countries, with sociodemographic, behavioural, and genetic factors all playing a role. Comorbidities include hypertension, diabetes mellitus, stroke, coronary artery disease, and melanoma. Biomarkers associated with obesity include anthropometric markers, biochemical markers, hormonal markers, molecular biomarkers. Obesity related Oxidative stress is also discussed in this paper as per current findings from various clinical and preclinical data available up to January 2023.Treatment approaches range from lifestyle changes to pharmacotherapy and surgery. The available pharmacotherapy is either connected with precarious ill effects or overpriced, therefore, alternative therapies for obesity attenuation are required. Article under discussion provides an insight into oxidative stress attenuation, gene therapy via biomarkers regulation for combating obesity. Prevention strategies should include multidimensional approaches tailored to each nation

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Metabolically healthy obesity increases the prevalence of stroke in adults aged 40 years or older: Result from the China National Stroke Screening survey

Cited by 4 publications

References 33 publications

Association between obese phenotypes and risk of carotid artery plaque among chinese male railway drivers

Association between obese phenotypes and risk of carotid artery plaque among chinese male railway drivers

Chinese famine exposure in early life and metabolic obesity phenotype in middle age: Results from the China health and retirement longitudinal study

Recapitulating The Etiology And Pathophysiology Of Obesity Epidemic: A Comprehensive Guide To Associated Biomarkers And Pharmacotherapy

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Metabolically healthy obesity increases the prevalence of stroke in adults aged 40 years or older: Result from the China National Stroke Screening survey

Cited by 4 publications

References 33 publications

Association between obese phenotypes and risk of carotid artery plaque among chinese male railway drivers

Association between obese phenotypes and risk of carotid artery plaque among chinese male railway drivers

Chinese famine exposure in early life and metabolic obesity phenotype in middle age: Results from the China health and retirement longitudinal study

Recapitulating The Etiology And Pathophysiology Of Obesity Epidemic: A Comprehensive Guide To Associated Biomarkers And Pharmacotherapy

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Metabolically healthy obesity increases the prevalence of stroke in adults aged 40 years or older: Result from the China National Stroke Screening survey