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Objective: To explore the relationship between obesity status and death stratified by different multi-morbidity status in older adults in China. Methods: Data for older Chinese adults aged ≥65 years were from Chinese Longitudinal Healthy Longevity Survey (CLHLS). Multi-morbidity patterns based on 13 chronic conditions were explored using exploratory factor analysis. Cox models were used to examine relationships between obesity status and death stratified by disease count and multi-morbidity patterns at baseline, respectively. Besides, obesity status was defined by baseline body mass index and waist circumference. Results: A total of 6 272 participants were included in the analyses. Multi-morbidity including cardio-metabolic, sensory perception and other patterns were identified. For those without any chronic condition, compared with those without central obesity, central obesity was associated with a higher risk for death (HR=1.66, 95%CI:1.04-2.66). For those only with one chronic condition, compared with normal weight, underweight was associated with a higher risk for death (HR=1.41, 95%CI: 1.10-1.80). For those with multi-morbidity, compared with normal weight, underweight increased the risk for death (HR=1.19, 95%CI:1.05-1.34). Compared with those without central obesity, central obesity decreased the risk for death (HR=0.88, 95%CI:0.78-0.99). Conclusions: Relationships between obesity status and death varied by multi-morbidity status in older adults in China. Underweight and non-central obesity were associated with increased risks for death in older adults with only one chronic disease or multi-morbidity. Therefore, it is necessary to pay attention to multi-morbidity status in the management of obesity in older adults and provide effective targeted body weight management plan.
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Aged , Humans , Middle Aged , China/epidemiology , Multimorbidity , Obesity/epidemiology , Risk Factors , Waist CircumferenceABSTRACT
Objective The aim of this study was to investigate associations of overall obesity (OO) and abdominal obesity (AO) with brachial-ankle pulse wave velocity (baPWV) among type 2 diabetes(T2DM) patients. Methods A community-based study for T2DM patients was conducted in rural communities in Beijing．Every patient completed a questionnaire to collect demography, lifestyle and diseases history, and underwent physical examinations, baPWV assessments and blood biochemical tests. Multivariate linear regression was used to assess the relationship between obesity index and baPWV. Abnormal baPWV was defined as patients with baPWV≥1,700 cm/s. Logistic regression model was performed to explore the risk of abnormal baPWV after adjusting for poetential confounders step by step. Results A total of 2 048 T2DM patients were recruited. The average age was (59.2±8.3) years and total prevalence of abnormal baPWV was 49.7%. After multivariable adjustment, linear regression showed that there was a negative correlation between body mass index(BMI) and baPWV and a positive correlation between waist-to-hip ratio (WHR) and baPWV. Compared to normal weight group, those with BMI≥28 kg/m2 had lower risk of abnormal baPWV (OR=0.59, 95% CI: 0.44-0.78，P<0.001), but there was an increased risk of 46% among patients with obesity in WHR (OR=1.46, 95% CI:1.07-2.00，P=0.018). Compared to those without OO and AO, patients without OO but with AO had a 1.67-fold increasesd risk of abnormal baPWV (OR=1.67, 95% CI: 1.19-2.35，P=0.003). Conclusions Abdominal obesity is related with arterial stiffnening among T2DM patients, and it is critical to evaluate arterial stiffness of T2DM patients with abdmonal obesity and normal BMI in order to reduce future risk of cardiovascular diseases.
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Objective To explore the relationship between sleep duration and different ischemic stroke (IS) subtypes. Methods Participants in the study were recruited from rural communities in Beijing. The survey questionnaires, physical examination and biochemical tests were performed. Sleep duration was categorized into 5 groups, namely ≤5 hours/day, 6 hours/day (5.5-6.5 h/d), 7 hours/day (6.5-7.5 h/d), 8 hours/day (7.5-8.5 h/d) and ≥9 hours/day(≥8.5 h/d). Classification of ischemic stroke was based on Trial of org 10172 in acute stroke treatment(TOAST)classification. Logistic models were used to evaluate the associations between sleep duration and different IS subtypes. Results A total of 6 370 participants were recruited. The average age was (58.34±9.37) years old. Logistic regression analysis showed that after adjusting for age, sex, behavioral lifestyle, socioeconomic status and health status, compared to subjects with 7 hours/day, subjects with sleep duration ≤5 hours/day was significantly associated with increased risk of IS (OR=1.75, 95% CI: 1.42-2.15, P<0.001), large-artery atherosclerosis (OR=1.98, 95% CI:1.46-2.70, P<0.001), small-artery occlusion lacunar (OR=5.73, 95% CI:3.34-9.83, P<0.001) and stroke of undetermined etiology (OR=4.43, 95% CI:1.86-10.53, P=0.001). Subjects with sleep duration 8 hours/day and ≥9 hours/day was only found to be significantly associated with IS and large-artery atherosclerosis (P<0.05). Conclusions Short sleep duration is associated with increased risk of IS, large-artery atherosclerosis, small-artery occlusion lacunar and stroke of undetermined etiology. But long sleep duration is only associated with increased risk of IS and large-artery atherosclerosis.
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<p><b>AIM</b>To investigate the chemical constituents of the rhizome of Anemone raddeana Regel, so as to find new active compounds.</p><p><b>METHODS</b>The ethanol extracts of the rhizome of Anemone raddeana were obtained by silica column, HPLC. The structures of the compounds were elucidated by means of physico-chemical method and spectral analysis (IR, FAB-MS, 1HNMR, 13CNMR, DEPT, 1H-1H COSY, HMQC, HMBC).</p><p><b>RESULTS</b>Nine compounds were isolated and identified as 27-hydroxyolean-12(13)-en-28-oic acid-3-0-alpha-L-rhamnopyranosyl-(1-->2)-alpha-L-arabinopyranoside (1), eleutheroside K (2), Oleanolic acid-3-O-alpha-L-rhamnopyranosyl-(1-->2)-[beta-D- glucopyranosyl-(1-->4)]-alpha-L-arabinopyranoside (3), betulin (4), betulic acid (5), acetyloleamolic acid (6), evonymitol (7), oleamolic acid (8) and diosgenin (9).</p><p><b>CONCLUSION</b>Compound 1 is a new compound, named raddeanoside 12. Compounds 3-7 were isolated from this plant for the first time.</p>