糖尿病家族史和三高聚集与糖尿病患病的关系

目的 了解糖尿病家族史和三高聚集与糖尿病患病的关系,为制定适宜的糖尿病防治策略提供参考依据。方法 2019年10月至2020年4月采用多阶段随机抽样的方法,在江苏省南通市海门区随机抽取8981名18周岁以上常住居民,进行问卷调查和体格检查,采用t检验、x2检验、多因素非条件logistic回归研究糖尿病家族史和三高聚集对糖尿病患病的影响。结果 江苏省南通市海门区18周岁以上常住居民最终纳入8350名,糖尿病患病率11.2%,标化患病率5.4%。在调整了性别、年龄、文化程度、职业、总静态时间等混杂因素后,多因素非条件logistic回归分析结果显示,有糖尿病家族史者糖尿病患病风险是无家族史者的3.43倍（OR=3.43,95%CI=2.86～4.11）,超重肥胖者糖尿病患病风险是非超重肥胖者的1.60倍（OR=1.60,95%CI=1.39～1.83）,高三酰甘油血症者糖尿病患病风险是非患者的4.99倍（OR=4.99,95%CI=4.17～5.98）,高血压患者糖尿病患病风险是非患者的3.14倍（OR=3.14,95%CI=2.73～3.62）。当家族史合并1高时,以家族史合并高三酰甘油血症人群的糖尿病患病风险最高（OR=4.60,95%CI=4.01～5.29）,当家族史合并2高时,以家族史合并高三酰甘油血症、超重肥胖人群的糖尿病患病风险最高（OR=4.67,95%CI=4.08～5.37）,当家族史合并3高时,糖尿病患病风险达到最高（OR=5.72,95%CI=5.14～6.42）。结论 家族史合并危险因素聚集越多,糖尿病患病风险越高,应及时做好干预工作。     

阻塞性睡眠呼吸暂停对2型糖尿病患病影响的遗传修饰作用

目的采用多基因遗传风险评分探讨阻塞性睡眠呼吸暂停(obstructive sleep apnea,OSA)对2型糖尿病患病影响的遗传修饰作用,为对2型糖尿病进行精准化的预防和控制提供理论依据。方法研究对象选自2011—2012年建立的基于北京市房山社区的心脑血管慢性病队列,最终共纳入5 144名研究对象,收集其一般人口学资料、行为生活方式、既往病史、体检检查等信息,使用Berlin量表采集其OSA临床特征信息,对2型糖尿病相关的26个单核苷酸多态性位点进行基因型检测,并采用加权遗传风险评分计算研究对象的遗传风险。使用SAS 9.4软件采用多因素logistic回归模型分析OSA风险、糖尿病遗传风险评分与2型糖尿病患病的关联和联合作用。结果 (1)在调整了年龄、性别、受教育程度、婚姻状态、体质指数、体育锻炼、饮酒和吸烟等因素后,OSA高风险人群相较于OSA低风险人群具有更高的糖尿病患病风险(OR=1.381,95%CI:1.193～1.599,P0.01);高糖尿病遗传风险人群比低糖尿病遗传风险人群有着更高的糖尿病患病风险(OR=1.587,95%CI:1.309～1.925,P0.01)。(2)在中、高糖尿病遗传风险的人群中OSA高风险能够显著增加糖尿病的患病风险(中风险人群:调整后OSA高风险的OR值为1.439,95%CI为1.170～1.769,P0.01;高风险人群:调整后OSA高风险的OR值为1.422,95%CI为1.073～1.885,P0.05)。低糖尿病遗传风险人群中,OSA风险高低对糖尿病患病的影响差异无统计学意义(P0.05)。(3)进一步分析两因素联合作用,高遗传风险与OSA高风险之间存在联合作用,能够显著增加糖尿病的患病风险(调整后OR=2.331,95%CI:1.758～3.090,P0.01)。结论 OSA高风险对2型糖尿病患病的影响存在遗传个体差异,OSA高风险和高遗传风险评分具有联合作用,能够显著提高2型糖尿病的患病风险。     

北京市海淀区居民睡眠时间与糖尿病患病的相关性研究

目的 分析北京市海淀区18～79岁成年人睡眠时间与糖尿病患病之间的相关性。 方法 数据来源于2019年北京市海淀区成人慢性病及其危险因素监测,采用logistic回归分析睡眠时间和糖尿病的关联,采用限制性立方样条法分析睡眠时间和糖尿病患病风险的剂量-反应关系。 结果 调查人群糖尿病患病率为15.6%,平均睡眠时间为（7.24±1.15）h。经过多因素调整后,与睡眠时间7～9 h相比,睡眠时间≤7 h者的糖尿病患病风险增加56%（OR = 1.56,95%CI: 1.31～1.86）,而睡眠时间≥9 h者的糖尿病患病风险并未明显增加（OR = 1.13,95%CI: 0.78～1.60)。限制性立方样条法结果显示,睡眠时间与糖尿病患病的关联强度呈“U”型分布（非线性检验χ2 = 31.259,P＜0.001）,睡眠时间约为7h时,糖尿病患病风险最低。 结论 北京市海淀区成年人睡眠时间过短可能会增加糖尿病患病风险。     

江苏省成年居民不同膳食模式对糖尿病前期患病影响

目的了解江苏省成年居民不同膳食模式对糖尿病前期患病影响,为采用合理膳食模式干预糖尿病患病提供参考依据。方法采用多阶段整群随机抽样方法于2014年5月—2015年12月在江苏省抽取1 865名成年非糖尿病居民进行问卷调查、体格检查和实验室检测;采用因子分析法建立膳食模式,并应用logistic回归模型分析不同膳食模式对糖尿病前期患病的影响。结果江苏省1 865名成年非糖尿病居民中,患糖尿病前期者315例,糖尿病前期患病率为16.9%;因子分析得到动物型膳食、健康型膳食、传统型膳食和淀粉类植物型膳食4种膳食模式,累积方差贡献率为54.000%;多因素logistic回归分析结果显示,在调整了性别、年龄、居住地、吸烟情况、饮酒情况、父母是否患糖尿病、体质指数、是否高血压、是否血脂异常等混杂因素后,健康型膳食是江苏省成年居民糖尿病前期患病的保护因素,因子得分处于T3水平居民糖尿病前期患病风险为因子得分处于T1水平居民的0.689倍(OR=0.689,95%CI=0.481~0.986,P=0.042),因子得分处于T4水平居民糖尿病前期患病风险为因子得分处于T1水平居民的0.518倍(OR=0.518,95%CI=0.356~0.756,P=0.001)。结论健康型膳食模式可降低江苏省成年居民糖尿病前期患病风险。     

上海市35岁及以上居民膳食模式对2型糖尿病患病的影响

【目的】了解上海市35岁及以上居民膳食模式对2型糖尿病患病情况的影响。【方法】资料来自2013年上海市慢性病及行为危险因素监测结果,选择新确诊2型糖尿病居民和非糖尿病居民作为研究对象,采用因子分析法建立膳食模式,并应用logistic回归模型分析不同膳食模式对糖尿病患病情况的影响。【结果】采用因子分析得到上海市35岁及以上居民有5种膳食模式:动植物蛋白模式、奶蛋果蔬模式、果汁饮料模式、高脂高盐模式和谷蔬猪肉模式,高脂高盐模式的糖尿病患病率最高。调整混杂因素后,用logistic回归分析比较谷蔬猪肉膳食模式与其它膳食模式的糖尿病患病风险,高脂高盐模式的患病风险更高(OR=1.307,95%CI:1.088～1.571)。【结论】控油控盐、均衡的膳食模式对降低2型糖尿病患病风险有积极作用,应因地制宜地调整膳食结构和饮食习惯,预防和控制糖尿病的发生。     

糖尿病家族史和血脂异常对糖尿病患病风险的交互作用

  目的  探讨糖尿病家族史与血脂异常对糖尿病患病风险的交互作用。  方法  利用2018年江苏省南通市崇川区“国家慢性病综合防控示范区建设”项目调查的13 382名居民数据,其中血糖信息获得3 209份。Logistic回归模型分析糖尿病家族史、血脂异常与糖尿病患病的关系,使用相加模型评估二者交互作用对糖尿病患病风险的影响,并探讨二者交互作用的性别差异。  结果  本研究糖尿病患病率17.3%,标化患病率12.9%,糖尿病阳性家族史占8.8%,血脂异常者占7.6%。调整年龄、吸烟、饮酒及高脂饮食等混杂因素后,糖尿病家族史与血脂异常对糖尿病患病风险存在协同作用,家族史和血脂异常共同存在时,男、女性人群患病风险分别是二者均不存在者的15.24倍(95% CI:4.57~50.82)和9.84倍(95% CI:4.58~21.12)。男性相对超危险度比(the relative excess risk due to interaction, RERI)为6.59,归因交互作用(the attributable proportion due to interaction, AP)为43.2%,交互作用指数(the synergy index, S)为1.86,纯因子归因交互作用百分比AP%×(AB)为46.3%;女性RERI为4.22,AP%为42.9%,S为1.91,AP×(AB)%为47.7%。  结论  糖尿病家族史和血脂异常对糖尿病患病风险存在协同作用,且男性人群的交互作用可能大于女性。     

上海市杨浦区居民打鼾与糖尿病的相关性调查研究

目的探讨上海市杨浦地区成年人打鼾、打鼾频次和鼾声强度与糖尿病的患病关系,为制定糖尿病预防控制措施和策略提供科学依据。方法选取2017年国家心血管病中心在上海市杨浦区开展的"心血管病高危人群早期筛查与综合干预"项目,以社区为单位,对35～75岁居民进行问卷调查、体格检查和实验室检测,对其中资料完整的11 100人进行数据分析。结果研究人群自报打鼾4 414人,打鼾比例为39.77%,打鼾人群的糖尿病患病率为22.90%,高于非打鼾人群的16.95%。多因素logistic回归分析结果显示,男性打鼾与糖尿病患病风险差异无统计学意义(OR=1.07,95%CI:0.90～1.27),女性打鼾能显著增加糖尿病的患病风险(OR=1.24,95%CI:1.10～1.40);女性中,与不打鼾相比,打鼾1～2次/周及每天打鼾人群的糖尿病风险增加29.00%(OR=1.29,95%CI:1.05～1.57)和23.00%(OR=1.23,95%CI:1.04～1.46),并且打鼾声音强度越大,糖尿病的患病风险越大,与不打鼾相比,鼾声比交谈声大(OR=1.50,95%CI:1.19～1.88)和鼾声非常大(OR=1.78,95%CI:1.25～2.53)人群均能增加糖尿病患病风险。结论男性中,打鼾与糖尿病风险无统计学关联;女性中,打鼾、打鼾频次高和打鼾声音大均能够增加糖尿病的患病风险。     

Ⅱ型糖尿病危险因素管理项目预期投资回报率分析

目的：通过分析Ⅱ型糖尿病危险因素管理项目的预期投资回报率（Return-on-Investment ROI），证明在短期内（1年）项目在降低人群患病风险的同时，可以取得积极的经济投资回报。方法：先后两次收集未患Ⅱ型糖尿病的7600人的健康信息，运用糖尿病患病风险评价模型对健康数据进行处理，并按照风险等级进行分组，期间开展健康行为改善的指导。通过观察样本人群糖尿病患病风险的变化情况，并参考相关的医疗费用标准，计算项目的预期投资回报率。结果：经过健康行为改善指导，样本人群Ⅱ型糖尿病绝对患病风险由86．2697降至72．5747，可干预患病风险由59．9837降至44．9260；项目的整体预期投资回报率是1．79：1；不同危险等级的3组人群中，高危组预期投资回报率为5．18 ：1，中危组为0．91 ：1，低危组为0．30 ：1。结论：短期内，Ⅱ型糖尿病危险因素管理项目能够降低人群患病风险，同时也能够取得积极的预期投资回报。     

江苏省成人脂质蓄积指数与高血压和糖尿病患病风险关系的研究

目的 探讨成人脂质蓄积指数（lipid accumulation product,LAP）与高血压、糖尿病患病风险的关系。方法 利用江苏省2013年成人慢性病及其危险因素监测数据进行分析,采用方差分析和多因素Logistic回归模型研究LAP与血压、血糖、高血压和糖尿病患病风险的关系,利用受试者工作特征（receiver operating characteristics,ROC）曲线评估LAP、体重指数（body mass index,BMI）和腰围（waist circumference,WC）对高血压、糖尿病罹患风险的预测作用。结果 不同LAP组间血压、血糖水平差异均有统计学意义（均有P<0.05）。男性和女性的高血压、糖尿病患病风险均随着LAP水平升高而增加（均有P<0.05）,与低LAP水平组相比,男性和女性高LAP水平组的高血压患病风险分别增加3.65倍（95%CI:3.74~5.78）和3.52倍（95%CI:3.70~5.53）,糖尿病患病风险分别增加2.71倍（95%CI:2.83~4.87）和3.37倍（95%CI:3.32~5.77）。在女性中,ROC曲线分析显示,LAP预测高血压和糖尿病风险的曲线下面积（area under curve,AUC）值为0.70和0.69,均高于BMI和WC（均有P<0.05）。结论 LAP与血压、血糖密切相关,高血压、糖尿病患病风险随着LAP的增加而升高。     

贵州省苗族人群锰暴露与糖尿病前期及糖尿病的关联分析

目的 探讨贵州省30~79岁苗族人群尿锰水平与糖尿病前期及糖尿病的关联性。方法 采用多阶段、分层整群抽样方法,排除未收集尿液者后,对贵州省30~79岁3 722名苗族人群进行问卷调查、体格检查。利用电感耦合等离子体质谱法检测苗族人群尿液中锰的浓度,采用二元logistic回归分析尿锰水平与糖尿病前期及糖尿病患病风险之间的关联。结果 贵州省30~79岁苗族人群糖尿病前期检出率为38.47%,糖尿病患病率为9.38%。Logistic回归分析结果显示:与第一分位（Q1）相比,尿锰浓度第三分位Q3（OR=1.363,95%CI:1.123~1.656）和第四分位Q4（OR=1.417,95%CI:1.167~1.720）与糖尿病前期患病风险呈正相关,未发现尿锰水平与糖尿病患病风险之间存在关联。亚组分析显示,女性（OR=1.792,95%CI:1.341~2.239）、患高血压（OR=2.132,95%CI:1.363~3.334）人群尿锰浓度越高,糖尿病前期风险越大。结论 贵州省30~79岁苗族人群尿锰浓度升高与糖尿病前期患病风险增加有关,未发现尿锰浓度与糖尿病患病风险存在关联性。     

Low-, medium- and high-glycaemic index carbohydrates and risk of type 2 diabetes in men

Findings on dietary glycaemic index (GI) and glycaemic load (GL) as risk factors for type 2 diabetes have been controversial. We examined the associations of dietary GI and GL and the associations of substitution of lower-GI carbohydrates for higher-GI carbohydrates with diabetes risk in a cohort of Finnish men. The cohort consisted of 25?943 male smokers aged 50-69 years. Diet was assessed, at baseline, using a validated diet history questionnaire. During a 12-year follow-up, 1098 incident diabetes cases were identified from a national register. Cox proportional hazard modelling was used to estimate the risk of diabetes, and multivariate nutrient density models were used to examine the effects of substitution of different carbohydrates. Dietary GI and GL were not associated with diabetes risk; multivariate relative risk (RR) for highest v. lowest quintile for GI was 0·87 (95?% CI 0·71, 1·07) and for GL 0·88 (95?% CI 0·65, 1·17). Substitution of medium-GI carbohydrates for high-GI carbohydrates was inversely associated with diabetes risk (multivariate RR for highest v. lowest quintile 0·75, 95?% CI 0·59, 0·96), but substitution of low-GI carbohydrates for medium- or high-GI carbohydrates was not associated with the risk. In conclusion, dietary GI and GL were not associated with diabetes risk, and substitutions of lower-GI carbohydrates for higher-GI carbohydrates were not consistently associated with a lower diabetes risk. The associations of dietary GI and GL with diabetes risk should be interpreted by considering nutritional correlates, as foods may have different properties that affect risk.     

脂质蓄积指数和体重指数与糖尿病关系比较的前瞻性研究

目的 探讨基线脂质蓄积指数(LAP)与体重指数(BMI)不同水平与随访糖尿病(DM)发病的关系.方法 运用前瞻性研究方法 ,以江苏省多代谢异常和代谢综合征(MS)防治队列研究人群为研究对象,分析并比较基线LAP和BMI不同水平与DM的关系,计算LAP、BMI、腰围(WC)、腰臀比(WHR)对预测随访DM的ROC曲线下面积.结果与BMI相比,不论男女DM发病人数及累计患病率随LAP水平增高而增加的趋势更为明显;调整年龄、DM一般危险因素后,相对危险度(RR)分别随BMI水平和LAP水平增加而增高,但后者更具有统计学意义(P<0.05);4种肥胖指标中,预测随访DM的ROC曲线下面积从大到小依次为LAP、WHR、WC、BMI.结论 高LAP比高BMI更容易导致DM;相对于体重增加,DM的形成可能与体内脂质蓄积关系更为密切.     

Diet Quality and Body Mass Index Are Associated with Health Care Resource Use in Rural Older Adults

Health care resource consumption is a growing concern. The aim of this study was to examine the associations between diet quality and body mass index with health care resource use (HRU) in a cohort of advanced age. Participants in the Geisinger Rural Aging Study (n=5,993) were mailed demographic and dietary questionnaires in 2009. Of those eligible, 2,995 (50%; 1,267 male, 1,728 female; mean age 81.4±4.4 years) provided completed surveys. Multivariate negative binomial models were used to estimate relative risk and 95% CI of HRU outcomes with diet quality as assessed by the Dietary Screening Tool score and body mass index determined from self-reported height and weight. Poor diet quality was associated with a 20% increased risk for emergency room (ER) visits. Fruit and vegetable consumption was grouped into quintiles of intake, with the highest quintile serving as the reference group in analyses. The three lowest fruit and vegetable quintiles were associated with increased risk for ER visits (23% to 31%); the lowest quintile increased risk for inpatient visits (27%). Obesity increased risk of outpatient visits; however, individuals with class I obesity were less likely than normal-weight individuals to have ER visits (relative risk=0.84; 95% CI 0.70 to 0.99). Diets of greater quality, particularly with greater fruit and vegetable intake, are associated with favorable effects on HRU outcomes among older adults. Overweight and obesity are associated with increased outpatient HRU and, among obese individuals, with decreased ER visits. These findings suggest that BMI and diet quality beyond age 74 years continue to affect HRU measures.     

Different kinds of vegetable oils in relation to individual cardiovascular risk factors among Iranian women

Detrimental effects of trans-fats on lipid profiles, blood pressure and plasma glucose levels have been documented by short-term clinical trials with high doses of trans-fats, but limited observational studies have considered habitual consumption of partially hydrogenated vegetable oil (PHVO) and these outcome variables, particularly hypertension. We aimed to evaluate the association of PHVO and non-hydrogenated vegetable oils (non-HVO) intake with individual cardiovascular risk factors. In a cross-sectional study of 486 Iranian adult women, usual dietary intakes were assessed, and fasting plasma glucose (FPG), lipid profiles and blood pressure were measured. PHVO (commonly used for cooking in Iran) were considered as the PHVO category. Sunflower oil, maize oil, rapeseed oil, soyabean oil and olive oil were defined as the non-HVO category. Diabetes (FPG ≥ 1260 mg/l), dyslipidaemia (based on Adult Treatment Panel III) and hypertension (based on Joint National Committee VI) were defined. The presence of 'at least one risk factor' and 'at least two risk factors' of the three major risk factors for CVD (hypertension, dyslipidaemia and diabetes) was also evaluated. After controlling for age and other potential confounders, a high consumption of HVO was associated with a greater risk of having dyslipidaemia (OR for top v. bottom quintile 5·04; 95 % CI 2·70, 9·36), hypertension (OR for top v. bottom quintile 3·03; 95 % CI 1·55, 6·10), at least one (OR for top v. bottom quintile 8·52; 95 % CI 4·41, 16·41) and at least two risk factors (OR for top v. bottom quintile 3·60; 95 % CI 1·64, 7·74), while those in the top quintile of non-HVO consumption had lower odds for all these conditions. Further adjustment for dietary intakes had little impact on these associations. Even after additional adjustment for BMI, the positive association of HVO and the inverse association of non-HVO with the above-mentioned cardiovascular risk factors remained significant, except for the association between non-HVO and hypertension that became marginally significant. No overall significant associations were found between the consumption of HVO and non-HVO and diabetes. Higher intakes of PHVO were associated with a greater risk of individual cardiovascular risk factors, while those of non-HVO were associated with a reduced risk.     

Predictive performances of lipid accumulation product vs. adiposity measures for cardiovascular diseases and all-cause mortality, 8.6-year follow-up: Tehran lipid and glucose study

Background  

The body mass index (BMI) is the most commonly used marker for evaluating obesity related risks, however, central obesity measures have been proposed to be more informative. Lipid accumulation product (LAP) is an alternative continuous index of lipid accumulation, which is computed from waist circumference (WC, cm) and triglycerides (TGs, mmol/l): (WC-65) ×TG (men) and (WC-58) ×TG (women). We sought in this study to assess if LAP can outperform BMI, waist-to-height-ratio (WHtR), or waist-to-hip-ratio (WHpR) in identifying prevalent and predicting incident diabetes.     

2009年-2011年绍兴部分人群空腹血糖变化趋势调查

目的:通过连续三年(2009年-2011年)对本市健康体检成人FPG的调查及DM、IFG分组评估,了解本市成人血糖水平趋势性变化,为预防IFG、DM的发生及治疗提供参考依据。方法:2009年-2011年体检的健康人群(31992、30141、30533例)为调查对象,从18岁～95岁,按每10岁分7个年龄组,检测FPG水平,按WHO标准对其进行统计分析。结果:2009年-2011年,FPG高水平分别是男性(5.75 mmol/L、5.96 mmol/L、6.0 mmol/L)(P<0.01),女性(5.71 mmol/L、5.82 mmol/L、5.78 mmol/L)(P<0.01),男性和女性高水平血糖均在70岁～79岁年龄段。其中IFG发生率:男性3.62%(3.97%,2.82%,4.04%),女性1.76%(2.02%,1.45%,1.80%),男性高于女性(P<0.01);DM发生率:男性5.41%,女性3.00%,总检出率4.44%(4.19%、5.08%、4.09%)。结论:FPG水平随年龄增加而升高,在一定年龄达到高峰后基本稳定,同年龄男性比女性高;IFG、DM发生率男性比女性高。     

Serum uric acid and risk for development of hypertension and impaired fasting glucose or Type II diabetes in Japanese male office workers

We examined the association of serum uric acid (SUA) with development of hypertension (blood pressure 140/90 mmHg and/or medication for hypertension) and impaired fasting glucose (IFG) (a fasting plasma glucose level 6.1–6.9 mmol/l) or Type II (non-insulin-dependent) diabetes (a fasting plasma glucose level 7.0 mmol/l and/or medication for diabetes) over a 6-year follow-up among 2310 Japanese male office workers aged 35–59 years who did not have hypertension, IFG, Type II diabetes, or past history of cardiovascular disease at study entry. After controlling for potential predictors of hypertension and diabetes, the relative risk for hypertension compared with quintile 1 of SUA level was 1.27 [95% confidence interval (CI): 1.00–1.62] for quintile 2, 1.34 (95% CI: 1.08–1.74) for quintile 3, 1.48 (95% CI: 1.18–1.89) for quintile 4, and 1.58 (95% CI: 1.26–1.99) for quintile 5 (p for trend <0.001). The respective multivariate-adjusted relative risks for IFG or Type II diabetes compared with quintile 1 of SUA level were 1.55 (95% CI: 0.95–2.63), 1.62 (95% CI: 0.98–2.67), 1.61 (95% CI: 1.01–2.58), and 1.78 (95% CI: 1.11–2.85) (p for trend = 0.030). The association between SUA level and risk for hypertension and IFG or Type II diabetes was stronger among men with a body mass index (BMI) <24.2 kg/m² than among men with a BMI 24.2 kg/m², although the absolute risk was greater in more obese men. These results indicate that SUA level is closely associated with an increased risk for hypertension and IFG or Type II diabetes.     

新疆伊犁州35~74岁人群膳食炎症指数与超重/肥胖的关系

  目的  分析膳食炎症指数(dietary inflammatory index,DⅡ)与超重/肥胖之间的关联,为研究肥胖的炎症机制提供科学依据。  方法  2019年1月―5月在新疆伊犁州霍城县招募35~74岁队列成员并完成基线调查,采用统一制定的调查问卷,收集研究对象一般人口特征、行为方式等信息。采用食物频率调查表(food frequency questionnaires,FFQ),调查研究对象膳食摄入情况,计算DⅡ,评估膳食的炎症潜能。  结果  研究对象2 241人,超重的检出率为38.51%,肥胖的检出率为32.04%;总研究对象DⅡ评分以正值为主,总体膳食属于促炎性膳食;调整年龄、民族、性别、文化程度、家庭收入后,Log-binomial回归分析模型结果显示DⅡ与超重及肥胖存在相关性,最大促炎组患超重及肥胖的风险是最大抗炎组的1.32倍(PR=1.32,95% CI:1.10~1.57,P=0.015),其中DⅡ与超重仅在Q1(最大抗炎)与Q4(最大促炎)组间发现相关性(PR=1.26,95% CI:1.09~1.47,P=0.002),DⅡ与肥胖在每组均存在相关性,随着DⅡ评分的增加,研究对象患肥胖的风险增加。  结论  膳食炎症指数与超重/肥胖之间存在相关性,膳食的肥胖效应可以从炎症的角度进行深入分析。     

5种肥胖指标对不同性别及年龄组高血压的预测效果比较

目的 比较不同肥胖指标对不同性别、年龄人群高血压风险的预测价值。方法 基于深圳市龙华区2018年社区居民健康调查数据,对体质指数（BMI）、腰围（WC）、腰围身高比（WHtR）、腰臀比（WHR）和人体肥胖指数（BAI）共5种肥胖指标进行标准化转换,根据Logistic回归分析所得OR值,比较各肥胖指标与高血压的相关性;根据受试者工作特征曲线（ROC）下面积（AUC）,判断各肥胖指标对高血压的预测价值,进而综合评价各肥胖指标对高血压的预测能力。结果 在调整混杂因素后,WC和WHtR与男性和女性高血压的相关性强于其他肥胖指标。WHtR对于男性和女性高血压的预测能力均强于其他肥胖指标,其AUC及95%CI分别为0.694（0.659~0.728）和0.763（0.732~0.794）,其截断值分别为0.51和0.50;女性中各肥胖指标预测高血压的AUC均大于男性,各肥胖指标对女性高血压有更高的预测价值。对男女进行年龄分层后,在男性中除WHR外各肥胖指标对于青年组（18~44岁）高血压的预测价值优于中年组（45~59岁）和老年组（60~80岁）;在女性中各肥胖指标对于高血压的预测价值随着年龄的增长而降低,依次为青年组>中年组>老年组。结论 在综合考虑性别和年龄后,中心型肥胖指标中的WHtR对高血压的预测能力优于WC、BMI、WHR和BAI。