目的采用PRECEDE(predisposing,reinforcing,enabling constructs in educational diagnosis and evaluation)模式分析影响初产妇母乳喂养率的相关因素。方法选取产科2013年1月-2015年12月收治的260例住院分娩初产妇为研究对象,根据PREC...目的采用PRECEDE(predisposing,reinforcing,enabling constructs in educational diagnosis and evaluation)模式分析影响初产妇母乳喂养率的相关因素。方法选取产科2013年1月-2015年12月收治的260例住院分娩初产妇为研究对象,根据PRECEDE模式设计量表对所有产妇进行评估。记录产妇的PRECEDE评分与产后6个月内纯母乳喂养率,对影响母乳喂养的因素进行单因素分析,并进行logistic回归分析。结果 260例初产妇出院时及产后1~6个月母乳喂养率分别为80.76%、77.31%、72.69%、63.84%、56.15%、49.62%、36.92%。倾向因素中母乳喂养知识、母乳喂养态度、理想喂养方式,强化因素中社会环境认同、家庭成员支持是影响纯母乳喂养的因素。结论医护人员应加强初产妇产后喂养知识和技能的培训,鼓励产妇进行纯母乳喂养,以提高初产妇母乳喂养率。展开更多
Hydrothermal condition is mismatched in arid and semi-arid regions,particularly in Central Asia(including Kazakhstan,Kyrgyzstan,Tajikistan,Uzbekistan,and Turkmenistan),resulting many environmental limitations.In this ...Hydrothermal condition is mismatched in arid and semi-arid regions,particularly in Central Asia(including Kazakhstan,Kyrgyzstan,Tajikistan,Uzbekistan,and Turkmenistan),resulting many environmental limitations.In this study,we projected hydrothermal condition in Central Asia based on bias-corrected multi-model ensembles(MMEs)from the Coupled Model Intercomparison Project Phase 6(CMIP6)under four Shared Socioeconomic Pathway and Representative Concentration Pathway(SSP-RCP)scenarios(SSP126(SSP1-RCP2.6),SSP245(SSP2-RCP4.5),SSP460(SSP4-RCP6.0),and SSP585(SSP5-RCP8.5))during 2015-2100.The bias correction and spatial disaggregation,water-thermal product index,and sensitivity analysis were used in this study.The results showed that the hydrothermal condition is mismatched in the central and southern deserts,whereas the region of Pamir Mountains and Tianshan Mountains as well as the northern plains of Kazakhstan showed a matched hydrothermal condition.Compared with the historical period,the matched degree of hydrothermal condition improves during 2046-2075,but degenerates during 2015-2044 and 2076-2100.The change of hydrothermal condition is sensitive to precipitation in the northern regions and the maximum temperatures in the southern regions.The result suggests that the optimal scenario in Central Asia is SSP126 scenario,while SSP585 scenario brings further hydrothermal contradictions.This study provides scientific information for the development and sustainable utilization of hydrothermal resources in arid and semi-arid regions under climate change.展开更多
文摘目的采用PRECEDE(predisposing,reinforcing,enabling constructs in educational diagnosis and evaluation)模式分析影响初产妇母乳喂养率的相关因素。方法选取产科2013年1月-2015年12月收治的260例住院分娩初产妇为研究对象,根据PRECEDE模式设计量表对所有产妇进行评估。记录产妇的PRECEDE评分与产后6个月内纯母乳喂养率,对影响母乳喂养的因素进行单因素分析,并进行logistic回归分析。结果 260例初产妇出院时及产后1~6个月母乳喂养率分别为80.76%、77.31%、72.69%、63.84%、56.15%、49.62%、36.92%。倾向因素中母乳喂养知识、母乳喂养态度、理想喂养方式,强化因素中社会环境认同、家庭成员支持是影响纯母乳喂养的因素。结论医护人员应加强初产妇产后喂养知识和技能的培训,鼓励产妇进行纯母乳喂养,以提高初产妇母乳喂养率。
基金supported by the Strategic Priority Research Program of Chinese Academy of Sciences,Pan-Third Pole Environment Study for a Green Silk Road(Pan-TPE)of China(XDA2004030202)Shanghai Cooperation and the Organization Science and Technology Partnership of China(2021E01019)。
文摘Hydrothermal condition is mismatched in arid and semi-arid regions,particularly in Central Asia(including Kazakhstan,Kyrgyzstan,Tajikistan,Uzbekistan,and Turkmenistan),resulting many environmental limitations.In this study,we projected hydrothermal condition in Central Asia based on bias-corrected multi-model ensembles(MMEs)from the Coupled Model Intercomparison Project Phase 6(CMIP6)under four Shared Socioeconomic Pathway and Representative Concentration Pathway(SSP-RCP)scenarios(SSP126(SSP1-RCP2.6),SSP245(SSP2-RCP4.5),SSP460(SSP4-RCP6.0),and SSP585(SSP5-RCP8.5))during 2015-2100.The bias correction and spatial disaggregation,water-thermal product index,and sensitivity analysis were used in this study.The results showed that the hydrothermal condition is mismatched in the central and southern deserts,whereas the region of Pamir Mountains and Tianshan Mountains as well as the northern plains of Kazakhstan showed a matched hydrothermal condition.Compared with the historical period,the matched degree of hydrothermal condition improves during 2046-2075,but degenerates during 2015-2044 and 2076-2100.The change of hydrothermal condition is sensitive to precipitation in the northern regions and the maximum temperatures in the southern regions.The result suggests that the optimal scenario in Central Asia is SSP126 scenario,while SSP585 scenario brings further hydrothermal contradictions.This study provides scientific information for the development and sustainable utilization of hydrothermal resources in arid and semi-arid regions under climate change.