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空气质量改善与肺功能下降减缓:在SAPALDIA队列中肥胖的影响
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作者 tamara schikowski Emmanuel Schaffner +11 位作者 Flurina Meier Harish C.Phuleria Andrea Vierktter Christian Schindler Susi Kriemler Elisabeth Zemp Ursula Krmer Pierre-Olivier Bridevaux Thierry Rochat Joel Schwartz Nino Künzli Nicole Probst-Hensch 《环境与职业医学》 CAS 北大核心 2013年第12期962-962,共1页
[背景]假设随着年龄的增长,空气污染和肥胖通过致炎特性加速肺功能减退。[目的]先前公布的以人口为基础的SAPALDIA队列研究中,空气质量改善与肺部健康之间是否存在关联。本文探讨肥胖是否会改变这一关联。[方法]使用校正的混合模型分析... [背景]假设随着年龄的增长,空气污染和肥胖通过致炎特性加速肺功能减退。[目的]先前公布的以人口为基础的SAPALDIA队列研究中,空气质量改善与肺部健康之间是否存在关联。本文探讨肥胖是否会改变这一关联。[方法]使用校正的混合模型分析,评估在10年的随访期间,平均身体质量指数(BMI)和空气动力学直径≤10μm的颗粒物变化(PM10;ΔPM10)与肺功能减退之间的关联。[结果]共获得4664人的肺功能数据和完整信息。与低或正常平均BMI者相比,高平均BMI者年龄相关的肺功能减退,其FVC(用力肺活量)指标下降得更快,而FEV1/FVC(1秒用力呼气量/FVC)和FEF25-75(在25%~75%肺活量时的用力呼气流量)下降的速度较慢。在低和正常BMI者中,空气质量改善与随着时间推移的FEV1/FVC、FEF25-75、FEF25-75/FVC下降减缓相关,但在超重或肥胖者中无相关性。这种减缓作用在ΔFEF25-75/FVC上最为明显:在低或正常体质量者中,PM10每下降10μg/m3,ΔFEF25-75/FVC下降分别为30%和22%。[结论]上述研究结果指出并列考虑空气污染暴露和肥胖对健康的影响的重要性。今后需要进一步研究所观察到的相互作用的机制。 展开更多
关键词 肺功能减退 空气污染 质量改善 队列研究 肥胖者 身体质量指数 用力肺活量 用力呼气流量
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Accelerometry‑assessed sleep clusters and obesity in adolescents and young adults:a longitudinal analysis in GINIplus/LISA birth cohorts 被引量:1
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作者 Mingming Wang Claudia Flexeder +4 位作者 Carla PHarris Sara Kress tamara schikowski Annette Peters Marie Standl 《World Journal of Pediatrics》 2025年第1期48-61,共14页
Background Some studies have revealed various sleep patterns in adolescents and adults using multidimensional objective sleep parameters.However,it remains unknown whether these patterns are consistent from adolescenc... Background Some studies have revealed various sleep patterns in adolescents and adults using multidimensional objective sleep parameters.However,it remains unknown whether these patterns are consistent from adolescence to young adulthood and how they relate to long-term obesity.Methods Seven-day accelerometry was conducted in German Infant Study on the influence of Nutrition Intervention PLUS environmental and genetic influences on allergy development(GINIplus)and Influence of Lifestyle factors on the development of the Immune System and Allergies in East and West Germany(LISA)birth cohorts during the 15-year and 20-year follow-ups,respectively.Five sleep clusters were identified by k-means cluster analysis using 12 sleep characteristics at each follow-up.Adjusted linear and logistic regression models using generalized estimating equations were examined.Further,the interaction effects with time of follow-ups and polygenic risk scores(PRS)for body mass index(BMI)were tested.Results Five sleep clusters were classified consistently in both adolescence(n=1347,aged 14.3–16.4 years)and young adulthood(n=1262,aged 19.5–22.4 years).Adolescents in the“good sleep”,“delayed sleep phase”,and“fragmented sleep”clusters displayed greater stability transitioning into young adulthood,while those in the“sleep irregularity and variability”,and“prolonged sleep latency”clusters showed lower stability(n=636).Compared to the“good sleep”cluster,the“prolonged sleep latency”cluster exhibited associations with higher BMI[β=0.56,95%confidence interval(CI)=(0.06,1.05)]and increased odds of overweight/obesity[Odds ratio=1.55,95%CI=(1.02,2.34)].No significant PRS-sleep cluster interaction was found for BMI or overweight/obesity.Among males only,the“delayed sleep phase”,“sleep irregularity and variability”and“fragmented sleep”clusters showed stronger associations with overweight/obesity as age increased.Conclusion Adolescents and young adults shared five consistent sleep patterns,with the“prolonged sleep latency”pattern linked to higher BMI and overweight/obesity. 展开更多
关键词 ACCELEROMETRY Adolescents OBESITY Sleep clusters Young adults
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