共查询到18条相似文献,搜索用时 171 毫秒
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目的 探讨高血压队列人群中BMI和全死因死亡风险的关系。方法 研究对象为河南省某农村地区高血压队列人群,应用Cox风险比例回归模型计算基线时不同BMI水平人群随访期间的全死因死亡比例HR值及其95% CI,并采用限制性立方样条模型拟合BMI与全死因死亡风险的剂量-反应关系。结果 5 461名高血压队列人群累积随访31 048.38人年,平均随访6年,随访期间死亡589人。控制潜在的混杂因素后,以基线正常体重组(18.5 kg/m2 < BMI < 24.0 kg/m2)为参照,低体重组(BMI<18.5 kg/m2)、超重组(24.0 kg/m2 < BMI < 28.0 kg/m2)和肥胖组(BMI≥28 kg/m2)人群发生死亡的HR值(95% CI)分别为0.83(0.37~1.87)、0.81(0.67~0.97)和0.72(0.56~0.91)。限制性立方样条模型分析结果显示,在高血压队列人群中,基线BMI和全死因死亡风险关联强度呈现倒“S”形非线性剂量反应关系(非线性检验P<0.001)。结论 超重和肥胖可能是高血压人群死亡风险的保护因素,与“肥胖悖论”一致。 相似文献
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目的 分析中国成年人BMI与主要慢性病发病及全死因死亡风险的关联。方法 本研究基于中国慢性病前瞻性研究,基线时测量研究对象的身高、体重和腰围。分析中剔除基线现患冠心病、脑卒中、恶性肿瘤、COPD和糖尿病者,纳入428 113名研究对象。使用Cox比例风险回归模型分析BMI和腰围与主要慢性病(包括心血管疾病、恶性肿瘤、COPD、2型糖尿病)发病及全死因死亡的关联。结果 在平均10年随访期间,共有131 454人发生≥ 1种上述慢性病,26 892人死亡。主要慢性病发病风险随BMI增加而升高,与正常体重(18.5 ≤ BMI<24.0 kg/m2)者相比,超重(24.0 ≤ BMI < 28.0 kg/m2)和肥胖(BMI > 28.0 kg/m2)者的风险比分别为1.26(95% CI:1.24~1.27)和1.59(95% CI:1.57~1.62)。BMI过低或过高均与全死因死亡风险升高有关。腰围与主要慢性病发病及全死因死亡风险呈正向关联。按照中国人群体重标准,将体重控制在正常范围可以减少约12%主要慢性病发病。结论 一般性肥胖和中心性肥胖是中国成年人主要慢性病发病的危险因素。 相似文献
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目的 探讨BMI水平及其变化与高血压发病的风险,为高血压防控提供参考依据。 方法 本研究使用数据来源于2010年建立、2016—2020年随访的贵州省自然人群队列,采用Cox比例风险模型分析4 540例调查对象BMI水平及分类、BMI增量及变化情况以及不同变化情况下相同增量与高血压发病间的关系,计算风险比(HR)和95%CI。结果 4 540名调查对象随访总人年(PYs)为31 490.74年,中位随访时间为6.50年。在随访期间1 010名调查对象发生了高血压,发病密度为32.07/1 000 PYs。高血压发病风险随着BMI值的升高而增加(HR = 1.052,95%CI:1.031~1.073),BMI≥22.20 kg/m2即与高血压发病相关。超重(HR = 1.223,95%CI:1.031~1.451)、肥胖(HR = 1.941,95%CI:1.478~2.549)人群发病风险高于BMI正常人群。BMI增加1~2.9 kg/m2、≥3 kg/m2时,高血压发病风险分别增加31.0%、95.0%。持续超重肥胖、正常BMI转为超重肥胖的人群高血压发病风险较保持正常BMI的人群分别增加2.220倍、2.034倍。保持正常BMI和正常BMI转为超重肥胖的人群,当BMI增量≥3 kg/m2时,高血压发病风险分别较BMI增量相对稳定(-1 ~0.9 kg/m2)人群增加了1.824倍、2.922倍。 结论 BMI水平及其变化与高血压发病密切相关,保持正常的BMI水平且不出现较大增幅(≥3 kg/m2)是预防高血压必要和有效的措施。 相似文献
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摘要:目的 探讨体质指数与三阴型乳腺癌预后的关系。方法 收集2003-2010年四川省肿瘤医院收治的三阴型乳腺癌患者101例,根据体质指数值(BMI)分为正常组(<24 kg/m2)和超重肥胖组(≥24 kg/m2),采用χ2检验比较两组间的临床病理特征差异;用Cox比例风险回归分析BMI与总生存和无病生存风险比(HR)。合并2000-2014年关于肥胖与三阴型乳腺癌预后的研究文献6篇,共4446名病例,采用RevMan 5.0软件进行数据分析,计算合并风险比(HR合并)及其95%CI。结果 本次随访研究发现正常组和超重肥胖组患者的总生存和无病生存风险无统计学意义(HROS=0.632,POS=0.0.501;HRDFS=0.934,PDFS=0.873);Meta分析结果显示,肥胖与三阴型乳腺癌的HROS合并=1.02,95%CI:0.97~1.08;HRDFS合并=1.01,95%CI:0.96~1.07。结论 现有的研究尚不支持BMI改变三阴型乳腺癌预后的假设,但尚存在随访期短,人群代表性局限的问题。 相似文献
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目的:定量评价孕前体重指数及孕期体重指数增加情况对我国北方孕妇妊娠结局的影响。方法:收集2007~2009年在沈阳3家医院分娩的3741名单胎妊娠初产妇,按照孕前体重指数(BMI)分为4组:低体重组(BMI18.5kg/m2)、正常体重组(18.5kg/m2≤BMI24kg/m2)、超重组(24kg/m2≤BMI28kg/m2)和肥胖组(BMI≥28kg/m2)。按照孕期BMI增加情况分为3组:A组(BMI增加4)、B组(BMI增加4~6)、C组(BMI增加6)。Logistic回归评估不良妊娠结局的危险度,结果用RR和95%CI表示。结果:①和正常体重组相比,孕前低体重、超重和肥胖组的孕妇患子痫前期的RR分别为0.53(95%CI0.29~0.97)、2.84(95%CI2.05~3.94)和5.35(95%CI3.47~8.49);患妊娠期糖尿病的RR分别为0.35(95%CI0.16~0.78)、3.40(95%CI2.44~4.75)和4.95(95%CI2.91~7.06);剖宫产和出生大于胎龄儿(LGA)的风险也随孕前体重的增加而增加。②和B组相比,C组增加了子痫前期(RR1.85,95%CI1.40~2.44)、妊娠期糖尿病(RR1.39,95%CI1.05~1.86)、剖宫产(RR1.37,95%CI1.15~1.63)及出生LGA(RR1.98,95%CI1.44~2.73)的相对危险性,但降低了出生SGA的风险。A组降低了子痫前期、剖宫产和出生LGA的风险,但增加了早产(34周)和出生SGA的风险。结论:孕前体重指数过高及孕期体重指数增加过度可以明显增加孕妇子痫前期、妊娠期糖尿病和剖宫产的风险。应加强健康教育,适度控制孕期体重,合理营养减少肥胖,对预防妊娠并发症,改善妊娠结局是有必要的。 相似文献
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Corrada MM Kawas CH Mozaffar F Paganini-Hill A 《American journal of epidemiology》2006,163(10):938-949
The authors explored the relation of body mass index (BMI; weight (kg)/height (m)(2)) and weight change to all-cause mortality in the elderly, using data from a large, population-based California cohort study, the Leisure World Cohort Study. They estimated relative risks of mortality associated with self-reported BMI at study entry, BMI at age 21 years, and weight change between age 21 and study entry. Participants were categorized as underweight (BMI <18.5), normal weight (BMI 18.5-24.9), overweight (BMI 25-29.9), or obese (BMI >or=30). Of 13,451 participants aged 73 years (on average) at study entry (1981-1985), 11,203 died during 23 years of follow-up (1981-2004). Relative to normal weight, being underweight (relative risk (RR) = 1.51, 95% confidence interval (CI): 1.38, 1.65) or obese (RR = 1.25, 95% CI: 1.13, 1.38) at study entry was associated with increased mortality. People who were either overweight or obese at age 21 also had increased mortality (RR = 1.17, 95% CI: 1.09, 1.25). Participants who lost weight between age 21 and study entry had increased mortality regardless of their BMI category at age 21. Obesity was significantly associated with increased mortality only among persons under age 75 years and among never or past smokers. This study highlights the influence on older-age mortality risk of being overweight or obese in young adulthood and underweight or obese in later life. 相似文献
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OBJECTIVE: To evaluate the risk of all-cause and cardiovascular disease (CVD) mortality associated with each outcome of the NIH obesity treatment algorithm and to examine the effects of cardiorespiratory fitness on the risk of mortality associated with these outcomes. RESEARCH METHODS AND PROCEDURES: The NIH obesity treatment algorithm was applied to 18,666 men (20 to 64 years of age) from the Aerobics Center Longitudinal Study in Dallas, TX, examined between 1979 and 1995. Risk of all-cause and CVD mortality was assessed using Cox proportional hazards regression. RESULTS: A total of 7029 men (37.7%) met the criteria for needing weight loss treatment [overweight (BMI = 25 to 29.9 kg/m2 or WC > 102 cm) with > or =2 CVD risk factors or obese (BMI > or = 30 kg/m2)]. Mortality surveillance through 1996 identified 435 deaths (151 from CVD) during 191,364 man-years of follow-up. Compared with the normal weight reference group, the hazard ratios (95% confidence interval) for death from all causes were 0.63 (0.45 to 0.88), 1.23 (0.98 to 1.54), 1.05 (0.60 to 1.85), and 1.71 (1.64 to 2.31) for men who were overweight with <2 CVD risk factors, overweight with > or = 2 CVD risk factors, obese with <2 CVD risk factors, and obese with > or =2 CVD risk factors, respectively. Corresponding hazard ratios for CVD mortality were 0.72 (0.38 to 1.37), 1.67 (1.12 to 2.50), 1.69 (0.67 to 4.30), and 3.31 (2.07 to 5.30). Including physical fitness as a covariate significantly attenuated all risk estimates. DISCUSSION: The NIH obesity treatment algorithm is useful in identifying men at increased risk of premature mortality; however, including an assessment of fitness would help improve risk stratification among all groups of patients. 相似文献
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