沧州农村地区老年人群体质量指数和腰围与高血压的相关性研究

目的探讨沧州农村地区老年人群体质量指数和腰围与高血压患病率的关系。方法按照整体随机抽样方法,对沧州某农村地区年龄60⁸9岁1560例居民进行问卷调查、医学体检,根据高血压诊断标准分为高血压组868例和非高血压组692例。以不同体质量指数及腰围分层,比较高血压患病率及相关危险因素。结果高血压组超重(33.6%vs 10.8%)、肥胖(38.8%vs 9.7%)、腹型肥胖(36.6%vs 19.4%)、超重伴腹型肥胖(23.3%vs6.1%)检出率明显高于非高血压组(P<0.01)。而腰围异常老年人群患高血压风险度是腰围正常者的2.41倍(95%CI:1.90689岁1560例居民进行问卷调查、医学体检,根据高血压诊断标准分为高血压组868例和非高血压组692例。以不同体质量指数及腰围分层,比较高血压患病率及相关危险因素。结果高血压组超重(33.6%vs 10.8%)、肥胖(38.8%vs 9.7%)、腹型肥胖(36.6%vs 19.4%)、超重伴腹型肥胖(23.3%vs6.1%)检出率明显高于非高血压组(P<0.01)。而腰围异常老年人群患高血压风险度是腰围正常者的2.41倍(95%CI:1.906³.042,P=0.000)。相关因素分析发现,不良饮食习惯、吸烟、饮酒为该地区老年人群超重或肥胖的高危因素。结论沧州农村地区老年人群超重和肥胖形势严峻,体质量指数和腰围与高血压关系密切,不良生活习惯为其高危因素,改善不良饮食结构是高血压等慢性疾病防治的根本。     

老年人体质量指数与左心室质量的关系

左心室肥厚作为多种心血管疾病的危险因素多年来受到人们的广泛关注,而高血压病等作为左心室肥厚的原因,已得到证实。但肥胖是否为左心室肥厚的独立危险因素,目前报道较少,研究它与左心室肥厚之间的关系意义较大,本文通过测量老年人体质量指数和左心室质量指标,探讨老年人体质量指数与左心室质量的关系。1　对象和方法1.1　对象　选择1995～1997年住院患者64例,男39例,女25例,年龄60～74岁,平均675岁。均因非心血管疾病住院。结合病史、体征及心脏彩色多普勒超声检查,排除高血压病、心脏瓣膜病、心肌病、肺心病、冠心病等疾患,踏车运动试验…     

老年人体质量指数、腰围与血压关系的探讨

目的 探讨老年人血压与体质量指数（BMI）和腰围（WC）的关系。方法 入选2010年1月至2014年12月期间在解放军总医院门诊部干部诊疗科接受查体的离退休老干部449例,按BMI将研究对象分为BMI正常组、超重组和肥胖组。按WC将研究对象分为WC正常组和腹型肥胖组,对其基本情况和血压情况进行记录分析。结果 在超重组、肥胖组和腹型肥胖组中,男性和女性间检出率差异无统计学意义（P＞0.05）。超重者和肥胖者的24h平均收缩压（SBP24h）、24h平均舒张压（DBP24h）以及高血压检出率均显著高于正常BMI者;腹型肥胖者上述指标也显著高于WC正常者。相关分析证实BMI和WC与SBP24h、DBP24h均显著正相关。结论 本研究证实老年人群中BMI和WC与血压的正相关性,提示体质量管理在高血压防治中的重要性。     

老年人体重指数与高血压,脑梗塞相关性的研究

老年人体重指数与高血压、脑梗塞相关性的研究黄松青杨勇丽向爱平江成葵谭杰总后武汉后方基地汉口赵家条干休所门诊部（４３００１０）表１３组ＢＭＩ与血糖、血脂（ｍｍｏｌ／Ｌ）结果比较（ｘ±ｓ）低ＢＭＩ组（ｎ＝４０）高ＢＭＩ组（ｎ＝１５１）正常ＢＭＩ组（ｎ＝１...     

老年人高血压、2型糖尿病和高脂血症与体质量指数的关系

超重和肥胖是高血压与2型糖尿病的危险因素,为了进一步探讨肥胖在老年人中与高血压、2型糖尿病的关系,本文对我院1045例健康体检的老年病人的体质量指数(BMI)与高血压、2型糖尿病、胆固醇(TC)和甘油三酯(TG)进行了观察。1对象与方法1.1对象海军总医院2002年对某机关健康体检的1045人,其中男964人,女81人,年龄65~91岁,平均(72.03±4.67)岁。1.2方法1.2.1血压的测量:均在医院门诊进行,被检查者到医院后休息半小时以上,然后进行血压的测量,用汞柱血压计坐位测量血压。血压值采用Korotkoff第Ⅰ音为收缩压,第Ⅴ音为舒张压,若声音持续不消失,…     

老年人体质量指数和体成分与认知功能的相关性

目的 探讨老年人群体质量指数(BMI)、体成分与认知功能的相关性。方法 选择2021年1月至12月火箭军特色医学中心营养门诊就诊的老年人391例作为研究对象。采用蒙特利尔认知评估(MoCA)量表进行认知评估,分为正常组(≥26分)、轻度组(17～26分)和中重度组(≤17分)。测量身高和体质量并计算BMI,采用多频节段生物电阻抗法得到体成分指标,分析BMI和体成分与认知功能的相关性。以认知功能障碍(CI)诊断分级为因变量,BMI、相关人体成分为自变量,校正生活方式、基础疾病等混杂因素,进行多因素logistic回归分析。采用SPSS 25.0软件进行数据分析。根据数据类型,组间比较分别采用LSD-t检验、方差分析及χ²检验。结果 正常组、轻度组和中重度组间BMI、体脂率(PBF)、腰臀比(WHR)比较,差异均有统计学意义(均P<0.05)。正常组、轻度组和中重度组间BFM、VFA均随认知功能障碍程度的增加而呈现升高趋势[(22.45±4.97)和(26.97±5.54)和(31.10±3.45)kg,(104.42±26.73)和(125.57±29.58)...     

湖北地区居民腰围和体质量指数与高血压的相关性研究

目的探讨湖北地区居民腰围及体质量指数(BMI)与高血压之间的相关性。方法采用分层多阶段随机抽样的方法,于2013年1月至2014年1月对湖北地区5个城区及5个乡村年龄15岁居民20 539例进行调查研究。通过体格检查、问卷调查的方式收集调查对象的个人基本情况及腰围等资料。结果男性及女性在高血压发病情况上差异有统计学意义(P0.05)。≥60岁3个不同年龄组(60~69,70~79,80~89岁)研究对象在高血压发病率上随年龄增加而逐渐升高,且差异有统计学意义(P0.05)。高血压组超重、肥胖、腹型肥胖、超重伴腹型肥胖发生率均高于非高血压组。两组人群在超重、肥胖、腹型肥胖、超重伴腹型肥胖发生率上差异有统计学意义(P0.05)。收缩压、年龄、基础代谢、身体脂肪率、内脏脂肪指数、性别均为BMI的危险因素;对于男性,舒张压、基础代谢、身体脂肪率、内脏脂肪指数为中心性肥胖的危险因素,年龄为中心性肥胖的保护因素;对于女性,舒张压、年龄、基础代谢、身体脂肪率、内脏脂肪指数为中心性肥胖的危险因素。结论湖北地区居民超重及肥胖形势严峻,腰围及BMI与高血压关系密切。     

体质量指数与结直肠癌相关性的研究现状

结直肠癌(colorectal cancer,CRC)是消化系统常见的严重危害人们健康的杀手,全球每年约有120万新发病例,其中中国约有13万.随着我国社会经济发展和饮食结构的改变,CRC的发病率和死亡率呈逐年上升趋势,且平均发病年龄低于西方国家约20岁,居所有恶性肿瘤中的第2位,在中国发达地区已经接近西方发达国家.CRC的发病是多种因素综合作用的结果,近四分之一的CRC患者可以通过良好的生活习惯来避免患病.目前全球有2/3的成年人正在与超重和肥胖做斗争.近期大量研究表明,高体质量指数(body mass index,BMI)与结直肠癌的发病具有一定关系.本文就BMI与CRC相关性的研究现状作一综述.     

体质量指数与左心房大小的相关性研究

目的:肥胖是心房纤颤(房颤)的一个危险因素,但是这种联系的机制还不清楚。本研究旨在评价在窦性心律个体,其体质量指数(BMI)是否是左心房大小的独立决定因素。方法:连续观察18岁以上来我院行经胸超声心动图检查的非心血管病患者180例,均符合窦性心律、左心室收缩功能正常且无瓣膜病及其它心脏病等,记录其年龄、性别,并测量身高及体质量。应用二维及M型超声心动图技术测量左心房大小、左心室功能及左心室后壁厚度(LVPW)。结果:入选者平均年龄(45.54±13.33)岁,体质量指数(24.75±3.65)kg/m2,其中57.2%为男性,BMI是左心房大小的重要预测因子(P<0.001),独立于左心室舒张末内径和左心室后壁厚度。BMI<25 kg/m2者平均左心房面积是(14.16±2.49)cm2,BMI≥25 kg/m2者平均左心房面积是(15.77±2.88)cm2(P<0.001)。结论:在非心血管病者中,肥胖与左心房增大相关,而且独立于左心室大小和左心室后壁厚度。这可能至少部分地有助于解释肥胖人群房颤发生率的增高。     

不同体质量指数对非高血压人群进展为高血压病的影响

目的 探讨不同体质量指数（body mass index,BMI）对非高血压人群进展为高血压病的影响。方法 选择参加年度体检并完成至少2次的体检者,根据基线BMI分为低体质量组（BMI<18.5）、正常体质量组（18.5≤BMI<24）、超重组（24≤BMI<28）和肥胖组（BMI≥28）,比较各组的临床特点及高血压病发病率的差异。进一步根据基线不同血压水平将体检者分为正常血压组和正常高值组两个亚组,采用多因素COX回归分析基线不同血压下BMI对高血压进展的影响。结果 基线入选非高血压者23 665人,平均随访3.6年后,共有2 502人进展为高血压病。低体质量组、正常体质量组、超重组和肥胖组的高血压病发病率分别为2.80%、6.41%、17.88%和27.84%,从低体质量组到肥胖组呈递增趋势（P<0.01）。多因素Cox回归分析结果显示,在校正其他混杂因素后,高血压发病风险从正常体质量组到肥胖组依次升高。其中超重组、肥胖组的高血压发病风险分别是正常体质量组的1.22倍（95%CI 1.12~1.34,P<0.01）、1.35倍（95%CI 1.19~1.53,P<0.01）。无论在正常血压组还是正常高值组,这种高血压发病风险从正常体质量组到肥胖组依次升高的趋势均存在。结论 随基线BMI的增加,高血压病发病率和发病风险升高。     

Changes in body mass index in a Finnish population between 1972 and 1982

Population-based data on changes in body mass index are scarce. We have examined about 9700 people aged 30-59 years in two provinces of East Finland in 1972, 1977 and 1982. The age adjusted mean value of body mass index (kg m-2) in 1972 was 26.0 +/- 3.4 in men and 26.9 +/- 4.7 in women, increasing with age. During the 10-year follow-up the mean body mass index increased in men to 26.5 +/- 3.6 (P less than 0.001). In women we found a decrease in mean body mass index to 26.4 +/- 4.9 (P less than 0.001). The increase trend in body mass with age remained in women, while in men the age trend increased from survey to survey. The proportion of obese men also increased while in younger women a decrease was observed. The results of this study show the association between changes in physical activity, education etc. and the observed changes in the body mass index.     

A prospective study of body mass index and the risk of developing hypertension in men

BACKGROUND: Although obesity is known to increase the risk of hypertension, few studies have prospectively evaluated body mass index (BMI) across the range of normal weight and overweight as a primary risk factor. METHODS: In this prospective cohort, we evaluated the association between BMI and risk of incident hypertension. We studied 13,563 initially healthy, nonhypertensive men who participated in the Physicians' Health Study. We calculated BMI from self-reported weight and height and defined hypertension as self-reported systolic blood pressure (BP) > or = 140 mm Hg, diastolic BP > or = 90 mm Hg, or new antihypertensive medication use. RESULTS: After a median 14.5 years, 4920 participants developed hypertension. Higher baseline BMI, even within the "normal" range, was consistently associated with increased risk of hypertension. Compared to participants in the lowest BMI quintile (<22.4 kg/m(2)), the relative risks (95% confidence interval) of developing hypertension for men with a BMI of 22.4 to 23.6, 23.7 to 24.7, 24.8 to 26.4, and >26.4 kg/m(2) were 1.20 (1.09-1.32), 1.31 (1.19-1.44), 1.56 (1.42-1.72), and 1.85 (1.69-2.03), respectively (P for trend, <.0001). Further adjustment for diabetes, high cholesterol, and baseline BP did not substantially alter these results. We found similar associations using other BMI categories and after excluding men with smoking history, those who developed hypertension in the first 2 years, and those with diabetes, obesity, or high cholesterol at baseline. CONCLUSIONS: In this large cohort, we found a strong gradient between higher BMI and increased risk of hypertension, even among men within the "normal" and mildly "overweight" BMI range. Approaches to reduce the risk of developing hypertension may include prevention of overweight and obesity.     

体质量指数与老年阻塞性睡眠呼吸暂停低通气综合征严重程度的相关性

目的 探讨体质量指数(BMI)与老年阻塞性睡眠呼吸暂停低通气综合征(OSAHS)严重程度的相关性.方法 回顾性分析2015年1月至2017年10月在解放军总医院、北京大学国际医院和甘肃中医药大学附属医院经标准多导睡眠监测诊断为OSAHS的609例老年患者(≥60岁)的病例资料.按BMI水平将研究对象分为体重正常组(n=...     

Beyond body mass index

Body mass index (BMI) is the cornerstone of the current classification system for obesity and its advantages are widely exploited across disciplines ranging from international surveillance to individual patient assessment. However, like all anthropometric measurements, it is only a surrogate measure of body fatness. Obesity is defined as an excess accumulation of body fat, and it is the amount of this excess fat that correlates with ill‐health. We propose therefore that much greater attention should be paid to the development of databases and standards based on the direct measurement of body fat in populations, rather than on surrogate measures. In support of this argument we illustrate a wide range of conditions in which surrogate anthropometric measures (especially BMI) provide misleading information about body fat content. These include: infancy and childhood; ageing; racial differences; athletes; military and civil forces personnel; weight loss with and without exercise; physical training; and special clinical circumstances. We argue that BMI continues to serve well for many purposes, but that the time is now right to initiate a gradual evolution beyond BMI towards standards based on actual measurements of body fat mass.     

低体质量指数与老年危重患者术后并发症风险的相关性分析

目的评估老年患者术前体质量指数(BMI)与术后并发症发生风险的关系。方法本研究为对前期多中心随机对照研究中安慰剂组患者资料的二次分析。共纳入350例非心脏手术后入重症监护室(ICU)的老年患者(≥65岁)。主要终点是术后并发症发生情况。采用logistic回归模型分析术前BMI分级与术后并发症风险的关系。结果 350例患者中有35.1%(123例)发生术后并发症。logistic多因素回归分析显示,与正常体质量(BMI 18.5~23.9 kg/m~2)患者相比,体质量过低(BMI18.5 kg/m2)伴随术后并发症风险增加(OR=2.210,95%CI 1.069~4.570,P=0.032);而超重和肥胖(BMI≥24.0 kg/m2)对术后并发症风险无明显影响(OR=0.820,95%CI 0.497~1.354,P=0.438)。结论对于在全身麻醉下非心脏手术后入ICU的老年患者,体质量过低伴随术后并发症风险增加。     

老年男性高血压与前列腺增生的相关性研究

目的探讨高血压与良性前列腺增生发生、发展的相关性。方法选择男性前列腺增生患者223例,根据欧洲高血压学会/欧洲心脏学会高血压治疗指南将患者分为血压正常组(正常组)66例和原发性高血压组(高血压组)157例。其中高血压组病程≤15年患者96例,>15年患者61例;杓型血压患者58例和非杓型血压患者99例。检测血压、血脂和前列腺特异性抗原(PSA)等;超声测量并计算前列腺体积;行24h动态血压监测。结果与正常组比较,高血压组全天平均收缩压、前列腺体积、前列腺体积年增长率明显升高(P<0.05)。前列腺体积与高血压病程和PSA呈正相关(r=0.18、r=0.56,P<0.05),前列腺体积年增长率与年龄、PSA及体质量指数呈正相关(r=-0.20、r=0.49、r=0.20,P<0.05)。高血压病程>15年及非杓型血压患者前列腺体积及前列腺体积年增长率明显高于高血压病程≤15年及杓型血压患者(P<0.05)。结论前列腺增生发生、发展与高血压密切相关。高血压病程及其血压昼夜节律对良性前列腺增生均有影响。     

Associations between body composition and cognitive function in an elderly Korean population: A cohort-based cross-sectional study

The prevalence of obesity as well as cognitive impairment increases with age. Previous studies showed that obesity is associated with an increased risk of cognitive impairment and dementia. Body composition changes occur as part of the aging process; therefore, the assessment of obesity in elderly populations should include body composition as well as body weight. This study investigated the relationship between body mass index (BMI), body composition, and cognitive function in a community-dwelling elderly Korean population.This cohort-based cross-sectional analysis included 2386 elderly participants aged between 70 and 84 years from the Korean Frailty and Aging Cohort Study for 2016 to 2017. To investigate the relationship between body composition and cognitive function in community-dwelling individuals, BMI and body composition, including total and trunk fat mass and fat-free mass, were measured by dual-energy X-ray absorptiometry. Fat mass index (FMI), trunk fat mass index (TFMI), and fat-free mass index (FFMI) were used to represent the body composition. A short form of the Korean version of the Consortium to Establish a Registry for Alzheimer disease was used to assess cognitive function. To evaluate the relationship between variables, simple and fully adjusted multivariable analyses were performed using generalized linear regression models.The mean ages were 76.8 years for males and 76.1 years for females. The BMI of male participants was significantly lower than that of females (23.9 ± 2.89 vs 24.7 ± 3.02 kg/m², P < .001). Among body composition parameters, the differences in FMI (6.44 ± 1.97 vs 9.29 ± 2.3 kg/m²), TFMI (3.68 ± 1.33 vs 5.03 ± 1.43 kg/m²), and FFMI (17.4 ± 1.64 vs 15.3 ± 1.39 kg/m²) were statistically significant. In linear regression analyses, BMI, FMI, and TFMI showed significant positive correlations with mini-mental state examination in the Korean version of the CERAD assessment packet; wordlist memory, recall, and recognition; and frontal assessment battery only in males. The significant positive correlations persisted even after fully adjusting for age, education periods, location of residence, depression, marriage, annual income, presence of diabetes mellitus, dyslipidemia, and hypertension. However, no significant correlations in either sex were observed between FFMI and cognitive functions in the fully adjusted models.In this study, BMI, and fat mass-related indexes including FMI and TFMI showed a positive linear correlation with cognitive functions but not FFMI. Moreover, the findings were significant only in men. Besides the difference between sexes, the results of this study showed a more apparent correlation in fat mass than in fat-free mass that comprises body weight.