目的:探索睡眠时长与单次访视内血压变异性间的关系。方法:使用2015年至2018年美国国家健康和营养调查(national health and nutrition examination survey,NHANES)数据库的数据集。排除标准为年龄<20岁、相关睡眠和血压数据缺失及...目的:探索睡眠时长与单次访视内血压变异性间的关系。方法:使用2015年至2018年美国国家健康和营养调查(national health and nutrition examination survey,NHANES)数据库的数据集。排除标准为年龄<20岁、相关睡眠和血压数据缺失及妊娠期妇女。最终纳入了10006名参与者,并按照睡眠时间长短,将参与者分为短(<7h)、中(7~8小时)、长(>8h)三个睡眠时间组。采用Logistic回归模型,分析不同睡眠时长与血压变异水平的关系。结果:在进行变量调整后结果显示,收缩期变异系数(coefficient of variation,CV)(OR=1.21,95%CI:1.97~1.50,P=0.09)、收缩期标准差(standard deviation,SD)(OR=1.24,95%CI:1.00~1.53,P=0.05)、脉压差(pulse pressure,PP)(OR=1.36,95%CI:1.19~1.92,P=0.001)与短睡眠时间相关。舒张期CV(OR=1.14,95%CI:0.98~1.33,P=0.09)、舒张期白大衣效应(white coat effect,WCE)(OR=1.24,95%CI:1.02~1.50,P=0.03)、PP(OR=1.36,95%CI:1.15~1.62,P=0.001)、平均动脉压(mean arterial pressure,MAP)(OR=1.37,95%CI:1.15~1.62,P=0.001)、收缩期WCE(OR=1.23,95%CI:0.96~1.57,P=0.09)、收缩期最大绝对差(maximum absolute difference,MAD)(OR=1.26,95%CI:0.95~1.66,P=0.097)、收缩期AR23(OR=1.25,,95%CI:0.96~1.62,P=0.093)与长睡眠时间相关。结论:异常睡眠时长与血压变异高相关,这将为血压监测和管理提供新思路。展开更多
目的通过对基于国家健康和营养检查调查(NHANES)数据库在肝脏疾病领域相关研究进行文献计量学统计及可视化分析,分析近20年该领域的热点和挖掘趋势。方法基于Web of Science核心数据库合集(WoSCC)以及CiteSpace分析软件,对1998年12月至2...目的通过对基于国家健康和营养检查调查(NHANES)数据库在肝脏疾病领域相关研究进行文献计量学统计及可视化分析,分析近20年该领域的热点和挖掘趋势。方法基于Web of Science核心数据库合集(WoSCC)以及CiteSpace分析软件,对1998年12月至2022年12月发表文献进行计量学可视化分析,分析内容为发表文章的年度分布、被引情况、关键词的共现、聚类、时间线图和国家、机构、基金等。结果通过对313篇基于NHANES数据库的肝脏疾病领域文献进行可视化分析显示,该领域的发文量呈逐年递增,美国是发文量及中心性居首,伊诺瓦卫生系统为发文量最多的机构,美国卫生部人类服务部是资助该领域最多的基金资助机构,对关键词共现、聚类、时间线图分析提示非酒精性脂肪性肝病、代谢相关脂肪性肝病(MAFLD)、肝纤维化、代谢综合征方面为研究热门。结论代谢性肝病、病毒性肝炎和肝纤维化是肝病的主要研究热点。流行病学调查、危险因素评估和诊断方法是主要的分析方法。营养干预和肝病预防是未来的研究方向。机器学习在数据挖掘中具有广泛的适用性。展开更多
Introduction: There has been an interest to explore whether serum leptin plays any role in the pathogenesis of chronic liver disease. We conducted a case-control study to evaluate the relationship between unexplained ...Introduction: There has been an interest to explore whether serum leptin plays any role in the pathogenesis of chronic liver disease. We conducted a case-control study to evaluate the relationship between unexplained elevations in ALT and serum leptin in NHANES III participants. Methods: A total of 6343 adults who had fasting serum leptin and ALT measured as part of NHANES III constituted our study group. From this database, we have constructed cohorts of patients with unexplained elevations in ALT according to published criteria and compared their serum leptin levels to matched controls without liver disease and matched controls with hepatitis C. Leptin was also compared between patients with unexplained elevations in ALT with and without metabolic syndrome. Results: Serum leptin in 288 patients with unexplained elevations in ALT was 13.3 ±9.9 ng/mL and was not significantly different than 720 controls without liver disease (13.6 ±11.9 ng/mL, P = 0.6). Serum leptin in another group of patients with unexplained elevations in ALT and hepatitis C controls was also not significantly different (8.0 ±4.8 vs. 8.8 ±7.4 ng/mL, respectively, P = 0.5). There was no independent relationship between the presence of metabolic syndrome and serum leptin in individuals with unexplained elevations in ALT (P = 0.8). Conclusions: Individuals with unexplained elevations in ALT did not have higher levels of serum leptin than the matched controls. As unexplained elevations in ALT may signify the presence of non-alcoholic fatty liver disease in NHANES III participants, our data provide indirect evidence against a role for serum leptin in the pathogenesis of nonalcoholic fatty liver disease.展开更多
目的探索美国成年人的膳食模式和高尿酸血症(hyperuricemia,HUA)之间的关系。方法本研究基于美国国家健康和营养调查(National Health and Nutrition Examination Survey,NHANES)2007-2018年人群数据开展研究。按纳入排除标准,最终纳入2...目的探索美国成年人的膳食模式和高尿酸血症(hyperuricemia,HUA)之间的关系。方法本研究基于美国国家健康和营养调查(National Health and Nutrition Examination Survey,NHANES)2007-2018年人群数据开展研究。按纳入排除标准,最终纳入25526名美国成年居民。采用主成分分析提取调查对象的膳食模式,利用限制立方样条(restricted cubic spline,RCS)回归模型检测各膳食模式因子得分与HUA之间可能的线性或非线性依赖关系。采用3个节点的RCS进行建模分析,调整了所有混杂因素。将膳食模式因子得分四分位后,以最低四分位为参考,采用多因素logistic回归分析不同的膳食模式与HUA患病风险的关系。logistic回归模型中协变量包括年龄、性别、种族、教育程度、家庭收入贫困率、体质量指数(body mass index,BMI)、吸烟、饮酒、身体活动、膳食补充剂使用、健康饮食指数、总能量和高嘌呤食物摄入。结果利用主成分分析共提取出3种膳食模式,分别为脂肪-加工谷物-奶酪-添加糖(fat-processed-grains-cheese-added sugars,FPCS)模式、油-蔬菜-坚果-全谷物(oil-vegetables-nuts-whole grains,OVNW)模式和油-白薯-饮料-海产品(oil-white potatoes-drink-seafood,OPDS)模式。RCS分析表明,FPCS模式得分与HUA患病风险呈线性关系(P-线性<0.001),FPCS模式得分越高,HUA患病率降低。OVNW模式得分与HUA患病风险呈线性关系(P-线性<0.001),OVNW模式得分越高,HUA患病率降低。OPDS模式得分与HUA患病风险呈线性关系(P-线性<0.001)。OPDS模式得分越高,HUA患病率增加。在多因素logistic回归中,FPCS和OVNW模式与HUA患病风险呈负相关(Q4:OR=0.74,95%CI:0.62~0.87)和(Q4:OR=0.76,95%CI:0.66~0.87)。而OPDS模式与HUA患病风险呈正相关(Q4:OR=1.54,95%CI:1.41~1.70)。结论FPCS和OVNW模式与美国成人HUA患病风险的降低有关,而OPDS模式与HUA患病风险增加有关。展开更多
美国国家健康与营养调查(NHANES,National Health and Nutrition Examination Survey)是一项旨在评估美国成人和儿童健康和营养状况的研究计划,该调查的独特之处在于它结合了访谈和体检。NHANES是国家卫生统计中心(NCHS,National center...美国国家健康与营养调查(NHANES,National Health and Nutrition Examination Survey)是一项旨在评估美国成人和儿童健康和营养状况的研究计划,该调查的独特之处在于它结合了访谈和体检。NHANES是国家卫生统计中心(NCHS,National center for Health Statistics)的主要计划,是国家营养监测的基石,为营养和健康政策的制定提供了大量数据。NHANES项目信息及调查数据会在网站上及时更新且向公众免费开放。本文通过介绍NHANES项目相关内容及数据提取方法,方便需要的研究者快速高效地获取自己需要地数据。展开更多
文摘目的通过对基于国家健康和营养检查调查(NHANES)数据库在肝脏疾病领域相关研究进行文献计量学统计及可视化分析,分析近20年该领域的热点和挖掘趋势。方法基于Web of Science核心数据库合集(WoSCC)以及CiteSpace分析软件,对1998年12月至2022年12月发表文献进行计量学可视化分析,分析内容为发表文章的年度分布、被引情况、关键词的共现、聚类、时间线图和国家、机构、基金等。结果通过对313篇基于NHANES数据库的肝脏疾病领域文献进行可视化分析显示,该领域的发文量呈逐年递增,美国是发文量及中心性居首,伊诺瓦卫生系统为发文量最多的机构,美国卫生部人类服务部是资助该领域最多的基金资助机构,对关键词共现、聚类、时间线图分析提示非酒精性脂肪性肝病、代谢相关脂肪性肝病(MAFLD)、肝纤维化、代谢综合征方面为研究热门。结论代谢性肝病、病毒性肝炎和肝纤维化是肝病的主要研究热点。流行病学调查、危险因素评估和诊断方法是主要的分析方法。营养干预和肝病预防是未来的研究方向。机器学习在数据挖掘中具有广泛的适用性。
文摘Introduction: There has been an interest to explore whether serum leptin plays any role in the pathogenesis of chronic liver disease. We conducted a case-control study to evaluate the relationship between unexplained elevations in ALT and serum leptin in NHANES III participants. Methods: A total of 6343 adults who had fasting serum leptin and ALT measured as part of NHANES III constituted our study group. From this database, we have constructed cohorts of patients with unexplained elevations in ALT according to published criteria and compared their serum leptin levels to matched controls without liver disease and matched controls with hepatitis C. Leptin was also compared between patients with unexplained elevations in ALT with and without metabolic syndrome. Results: Serum leptin in 288 patients with unexplained elevations in ALT was 13.3 ±9.9 ng/mL and was not significantly different than 720 controls without liver disease (13.6 ±11.9 ng/mL, P = 0.6). Serum leptin in another group of patients with unexplained elevations in ALT and hepatitis C controls was also not significantly different (8.0 ±4.8 vs. 8.8 ±7.4 ng/mL, respectively, P = 0.5). There was no independent relationship between the presence of metabolic syndrome and serum leptin in individuals with unexplained elevations in ALT (P = 0.8). Conclusions: Individuals with unexplained elevations in ALT did not have higher levels of serum leptin than the matched controls. As unexplained elevations in ALT may signify the presence of non-alcoholic fatty liver disease in NHANES III participants, our data provide indirect evidence against a role for serum leptin in the pathogenesis of nonalcoholic fatty liver disease.
文摘目的探索美国成年人的膳食模式和高尿酸血症(hyperuricemia,HUA)之间的关系。方法本研究基于美国国家健康和营养调查(National Health and Nutrition Examination Survey,NHANES)2007-2018年人群数据开展研究。按纳入排除标准,最终纳入25526名美国成年居民。采用主成分分析提取调查对象的膳食模式,利用限制立方样条(restricted cubic spline,RCS)回归模型检测各膳食模式因子得分与HUA之间可能的线性或非线性依赖关系。采用3个节点的RCS进行建模分析,调整了所有混杂因素。将膳食模式因子得分四分位后,以最低四分位为参考,采用多因素logistic回归分析不同的膳食模式与HUA患病风险的关系。logistic回归模型中协变量包括年龄、性别、种族、教育程度、家庭收入贫困率、体质量指数(body mass index,BMI)、吸烟、饮酒、身体活动、膳食补充剂使用、健康饮食指数、总能量和高嘌呤食物摄入。结果利用主成分分析共提取出3种膳食模式,分别为脂肪-加工谷物-奶酪-添加糖(fat-processed-grains-cheese-added sugars,FPCS)模式、油-蔬菜-坚果-全谷物(oil-vegetables-nuts-whole grains,OVNW)模式和油-白薯-饮料-海产品(oil-white potatoes-drink-seafood,OPDS)模式。RCS分析表明,FPCS模式得分与HUA患病风险呈线性关系(P-线性<0.001),FPCS模式得分越高,HUA患病率降低。OVNW模式得分与HUA患病风险呈线性关系(P-线性<0.001),OVNW模式得分越高,HUA患病率降低。OPDS模式得分与HUA患病风险呈线性关系(P-线性<0.001)。OPDS模式得分越高,HUA患病率增加。在多因素logistic回归中,FPCS和OVNW模式与HUA患病风险呈负相关(Q4:OR=0.74,95%CI:0.62~0.87)和(Q4:OR=0.76,95%CI:0.66~0.87)。而OPDS模式与HUA患病风险呈正相关(Q4:OR=1.54,95%CI:1.41~1.70)。结论FPCS和OVNW模式与美国成人HUA患病风险的降低有关,而OPDS模式与HUA患病风险增加有关。
文摘美国国家健康与营养调查(NHANES,National Health and Nutrition Examination Survey)是一项旨在评估美国成人和儿童健康和营养状况的研究计划,该调查的独特之处在于它结合了访谈和体检。NHANES是国家卫生统计中心(NCHS,National center for Health Statistics)的主要计划,是国家营养监测的基石,为营养和健康政策的制定提供了大量数据。NHANES项目信息及调查数据会在网站上及时更新且向公众免费开放。本文通过介绍NHANES项目相关内容及数据提取方法,方便需要的研究者快速高效地获取自己需要地数据。