Please wait a minute...
文章检索
预防医学  2017, Vol. 29 Issue (12): 1193-1198    DOI: 10.19485/j.cnki.issn1007-0931.2017.12.002
  论著 本期目录 | 过刊浏览 | 高级检索 |
农村代谢综合征患者强化生活方式干预效果评价
喻森海1,潘飞霞2,顾杭杰1,瞿琼1,翟利君1,郭灿安1,徐春晓3,周丹2,杨敏4,朱益民2
1.杭州市萧山区戴村镇社区卫生服务中心,浙江 杭州 311261;
2.浙江大学公共卫生学院;
3.浙江省疾病预防控制中心;
4.浙江大学医学营养学与食品卫生研究所
Effectiveness evaluation of intensive lifestyle intervention on rural residents with metabolic syndrome
YU Sen-hai,PAN Fei-xia,GU Hang-jie,QU Qiong,ZHAI Li-jun,GUO Can-an,XU Chun-xiao,ZHOU Dan,YANG Min,ZHU Yi-min
Xiao Shan District Dai Village Community Health Service Center,Hangzhou,Zhejiang,311261,China
全文: PDF(614 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 目的 评价强化生活方式对农村代谢综合征(MS)患者的干预效果。方法 从MS横断面调查研究中纳入253例MS患者,不完全随机分成干预组(182例)和常规管理组(71例)。干预组采用合理膳食、规律运动及健康教育为重点的强化生活方式进行干预;常规管理组按慢性病管理工作规范和程序进行管理。干预6个月后比较干预前后MS患者体格指标及代谢相关生化指标差异。结果 两组MS患者体格指标和代谢相关生化指标基线水平差异均无统计学意义(P>0.05)。干预6个月后,干预组和常规管理组MS患病率分别为67.14%和60.95%,差异无统计学意义(P>0.05)。干预组体重、BMI、腰围分别下降3.11 kg、1.50 kg/m2、4.29 cm,常规管理组分别下降1.23 kg、0.47 kg/m2、1.22 cm,差异均有统计学意义(P<0.01)。干预组尿酸(UA)、三酰甘油(TG)分别减少14.30 μmol/L、0.01 mmol/L,常规管理组分别增加18.17 μmol/L、0.41 mmol/L,差异均有统计学意义(P<0.05)。干预组高密度脂蛋白胆固醇(HDL-C)增加0.02 mmol/L,常规管理组减少0.10 mmol/L,差异有统计学意义(P<0.01)。干预组中高依从性组体重、BMI分别减少3.93 kg、1.40 kg/m2,低依从性组分别减少2.80 kg、1.00 kg/m2;高依从性组体脂率(BF%)减少2.27%,低依从性组增加1.01%,差异均有统计学意义(P<0.05)。结论 强化生活方式干预可有效改善农村居民MS代谢组分异常状况。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
喻森海
潘飞霞
顾杭杰
瞿琼
翟利君
郭灿安
徐春晓
周丹
杨敏
朱益民
关键词 代谢综合征生活方式依从性    
AbstractObjective To evaluate the effectiveness of intensive lifestyle intervention on rural residents with metabolic syndrome (MS). Methods A total of 253 patients with MS selected from cross-sectional survey were divided into intensive lifestyle intervention and conventional management group incomplete randomly. Aimed to control weight,patients in the intervention group were treated with dietary control and exercise guidance. Besides,their compliances were assessed. In conventional management group,patients were disposed according to chronic disease management specification. Anthropometric measurements and biochemical markers detection were carried out in both groups at baseline and at the end of 6 months. Results These main anthropometric measurements and biochemical markers have no significant difference between the intervention group and conventional management group at the baseline (P>0.05). After 6 months intensive lifestyle modification,the prevalence of MS did not significantly differ between the two groups:it was 67.14% in the intervention group and 60.95% in the conventional management group(P>0.05).In the intervention group,the body weight,BMI and the waist circumference were decreased by 3.11 kg,1.50 kg/m2,4.29 cm,respectively,and 1.23 kg,0.47 kg/m2,1.22 cm in the conventional management group. The changes were significantly larger in the intervention group than in the conventional management group (P<0.01).Uric acid,triglyceride were decreased by 14.30 μmol/L,0.01 mmol/L,respectively,in the intervention group and in the conventional management group they were increased by 18.17 μmol/L and 0.41 mmol/L conversely. While the high density lipoprotein cholesterol was increased by 0.02 mmol/L,it was decreased by 0.10 mmol/L in the conventional management group (P<0.01). Body weight and BMI decreased by 3.93kg and 1.40 kg/m2 in the high compliance group,compared to low compliance group,there was statistically difference with regard to this change between the two groups (P<0.05). While the body fat% was decreased by 2.27%,and it was increased by 1.01% in the conventional management group (P<0.05). Conclusion For rural residents,the beneficial effects of intensive lifestyle intervention are improving metabolic risk factors. The compliance is the main factor of the effects of intervention.
Key wordsMetabolic syndrome    Lifestyle intervention    Compliance
         
中图分类号:  R589  
基金资助:“十二五”国家科技支撑项目(2012BAIO2B03);浙江省重点科技创新团队(2010R50050-13);萧山代谢综合征强化生活方式干预方案评价(2014215)
通信作者: 杨敏,E-mail:ymin36@zju.edu.cn   
作者简介: 喻森海,本科,副主任医师,主要从事社区基本医疗和公共卫生服务工作;潘飞霞,硕士,主要从事慢性病流行病学、分子流行病学研究(前两名作者为共同第一作者)
引用本文:   
喻森海,潘飞霞,顾杭杰,瞿琼,翟利君,郭灿安,徐春晓,周丹,杨敏,朱益民. 农村代谢综合征患者强化生活方式干预效果评价[J]. 预防医学, 2017, 29(12): 1193-1198.
YU Sen-hai,PAN Fei-xia,GU Hang-jie,QU Qiong,ZHAI Li-jun,GUO Can-an,XU Chun-xiao,ZHOU Dan,YANG Min,ZHU Yi-min. Effectiveness evaluation of intensive lifestyle intervention on rural residents with metabolic syndrome. Preventive Medicine, 2017, 29(12): 1193-1198.
链接本文:  
http://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn1007-0931.2017.12.002      或      http://www.zjyfyxzz.com/CN/Y2017/V29/I12/1193
[1] XIAO J,WU C L,GAO Y X,et al. Prevalence of metabolic syndrome and its risk factors among rural adults in Nantong,China[J]. Sci Rep,2016,6:38089.
[2] ARYAL N,WASTI S P. The prevalence of metabolic syndrome in South Asia:a systematic review[J]. International Journal of Diabetes in Developing Countries,2016(3):255-262.
[3] XI B,HE D,HU Y,et al. Prevalence of metabolic syndrome and its influencing factors among the Chinese adults:the China Health and Nutrition Survey in 2009[J]. Prev Med,2013,57(6):867-871.
[4] WEN J P,YANG J A,SHI Y,et al. Comparisons of different metabolic syndrome definitions and associations with coronary heart disease,stroke,and peripheral arterial disease in a rural Chinese population[J]. Plos one ,2015(5):e0126832.
[5] GU D,REYNOLDS K,WU X,et al. Prevalence of the metabolic syndrome and overweight among adults in China[J]. Lancet,2005,365(9468):1398-1405.
[6] TREVISAN M,LIU J,BAHSAS F B,et al. Syndrome X and mortality:a population-based study. Risk Factor and Life Expectancy Research Group[J]. Am J Epidemiol,1998,148(10):958-966.
[7] KASSI E,PERVANIDOU P,KALTSAS G,et al. Metabolic syndrome:definitions and controversies[J]. BMC Med,2011,9:48.
[8] YAMAOKA K,TANGO T. Effects of lifestyle modification on metabolic syndrome:a systematic review and meta-analysis[J]. BMC Med,2012,10:138.
[9] LIN C H,CHIANG S L,TZENG W C,et al. Systematic review of impact of lifestyle-modification programs on metabolic risks and patient-reported outcomes in adults with metabolic syndrome[J]. Worldviews Evid Based Nurs,2014,11(6):361-368.
[10]WATANABE M,YOKOTSUKA M,YAMAOKA K,et al. Effects of a lifestyle modification programme to reduce the number of risk factors for metabolic syndrome:a randomised controlled trial[J]. Public Health Nutr,2017,20(1):142-153.
[11]MULè G,CALCATERRA I,NARDI E,et al. Metabolic syndrome in hypertensive patients:An unholy alliance[J]. World J Cardiol,2014,6(9):890-907.
[12]HAGHIGHATDOOST F,AMINI M,FEIZI A,et al. Are body mass index and waist circumference significant predictors of diabetes and prediabetes risk:Results from a population based cohort study[J]. World Journal of Diabetes,2017,8(7):365-373.
[13]YING X,JIANG Y,QIN G,et al. Association of body mass index,waist circumference,and metabolic syndrome with serum cystatin C in a Chinese population[J]. Medicine (Baltimore),2017,96(10):e6289.
[14]ORCHARD T J,TEMPROSA M,GOLDBERG R,et al. The effect of metformin and intensive lifestyle intervention on the metabolic syndrome:the Diabetes Prevention Program randomized trial[J]. Ann Intern Med,2005,142(8):611-619.
[15]LIND L,ELMST?HL S,?RNL?V J. Change in body weight from age 20 years is a powerful determinant of the metabolic syndrome[J]. Metab Syndr Relat Disord,2017,15(3):112-117.
[16]MARKLUND M,MAGNUSDOTTIR O K,ROSQVIST F,et al. A dietary biomarker approach captures compliance and cardiometabolic effects of a healthy Nordic diet in individuals with metabolic syndrome[J]. J Nutr,2014,144(10):1642- 1649.
[17]O'MALLEY P G,KOWALCZYK C,BINDEMAN J,et al. The impact of cardiovascular risk factor case management on the metabolic syndrome in a primary prevention population:results from a randomized controlled trial[J]. J Cardiometab Syndr,2006,1(1):6-12.
[18]ILANNE-PARIKKA P,LAAKSONEN D E,ERIKSSON J G,et al. Leisure-time physical activity and the metabolic syndrome in the Finnish diabetes prevention study[J]. Diabetes Care,2010,33(7):1610-1617.
[19]田向阳. 中国农村健康教育与健康促进策略与模式研究[D]. 上海:复旦大学,2013.
[20]LIN Y H,CHU L L. The health promotion lifestyle of metabolic syndrome individuals with a diet and exercise programme[J]. Int J Nurs Pract,2014,20(2):142-148.
[1] 张红, 胡志明, 潘晓锋, 朱梦胜, 戴伟丽, 谢伊丽, 诸建方. 社区高血压患者Triangle分层分级管理效果评价[J]. 预防医学, 2023, 35(4): 350-354,358.
[2] 徐云辉, 应丹丹, 杨静. 中青年脑卒中患者功能锻炼依从性研究[J]. 预防医学, 2023, 35(2): 171-175.
[3] 王倩倩, 曲淑娜, 于绍轶, 张红杰. 脂质蓄积指数和内脏脂肪指数筛查中老年人群代谢综合征研究[J]. 预防医学, 2022, 34(9): 928-931.
[4] 郑沛, 卢丽微, 朱福乾, 戴曙杰. 永嘉县结直肠癌筛查结果分析[J]. 预防医学, 2022, 34(7): 727-731.
[5] 曹慧, 章丽英, 钱军. 产后盆底肌训练依从性的影响因素分析[J]. 预防医学, 2022, 34(7): 751-755.
[6] 张紫薇, 花语蒙, 陈阳阳, 马晓川, 韩冰洁, 刘爱萍. 鄂伦春自治旗男性老年人群生活方式危险因素与慢性病共病的关系[J]. 预防医学, 2022, 34(10): 1038-1042.
[7] 严海波, 于伟, 吴燕芬, 谢天胜. 柯桥区未接受抗病毒治疗HIV/AIDS病例调查[J]. 预防医学, 2021, 33(9): 910-912.
[8] 张海云, 张润松, 肖招英, 应锡钧, 施治文. 嵊州市HIV/AIDS病例HAART治疗依从性的影响因素研究[J]. 预防医学, 2021, 33(3): 277-279,283.
[9] 李媛媛, 苏银霞, 罗坤, 胡晓媛, 刘波, 王育珊, 姚华. 墨玉县维吾尔族居民冠心病患病现状及影响因素分析[J]. 预防医学, 2021, 33(12): 1265-1268,1272.
[10] 吴祎丹, 傅晓华, 朱晶, 吴香丽. 中心性肥胖不孕症患者生活方式干预效果评价[J]. 预防医学, 2021, 33(11): 1097-1099,1104.
[11] 金苓莉, 李修英, 吕慧娟, 孔利萍. 老年2型糖尿病患者饮食行为依从性及影响因素研究[J]. 预防医学, 2021, 33(11): 1175-1178.
[12] 贾成静, 沈郁, 苏丹婷, 王蒙, 黄李春, 胡崇高. 浙江省居民膳食烟酸摄入量与代谢综合征的关联研究[J]. 预防医学, 2021, 33(10): 973-976,982.
[13] 王岩, 王应昉, 陈凤, 许帅, 王欢. 铁西区老年人血脂异常及影响因素分析[J]. 预防医学, 2020, 32(9): 920-922.
[14] 李修英, 刘素贞, 吴清清. 18~59岁2型糖尿病患者饮食行为依从性及影响因素研究[J]. 预防医学, 2020, 32(7): 709-711.
[15] 陈馨仪,综述; 陈彬, 蒋健敏,审校. 移动信息技术在结核病患者治疗管理中的应用进展[J]. 预防医学, 2020, 32(6): 583-587.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed