Suppr超能文献

COVID-19 期间及随后封锁期间波兰成年人的饮食和生活方式改变:一项横断面在线调查 PLifeCOVID-19 研究。

Dietary and Lifestyle Changes During COVID-19 and the Subsequent Lockdowns among Polish Adults: A Cross-Sectional Online Survey PLifeCOVID-19 Study.

机构信息

Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (SGGW-WULS), 159C Nowoursynowska Street, 02-787 Warsaw, Poland.

出版信息

Nutrients. 2020 Aug 3;12(8):2324. doi: 10.3390/nu12082324.

Abstract

The present study aimed to identify patterns of dietary changes during the COVID-19 pandemic and their associations with sociodemographics, body mass index (BMI) before pandemic, and lifestyle changes in Polish adults and to examine the effects of lockdowns on dietary-lifestyle changes. This study used a cross-sectional online survey to collect data. The -means algorithm was used to determine of patterns of dietary changes, and logistic regression analyses were performed. During the study period, 43% of respondents decreased physical activity (PA), 49%-increased screen time, and 34%-increased food consumption. Among the three dietary changes patterns, two opposite patterns were found: Prohealthy (28% participants) and Unhealthy (19% participants).The adherence to the Prohealthy pattern was negatively associated with age, but positively with being overweight (aOR 1.31) or obese before pandemic (aOR 1.64). Residing in a macroeconomic region with GDP > 100% decreased adherence to the Prohealthy (aOR 0.73) but increased adherence to the Unhealthy pattern (aOR 1.47). Adults over 40 years old, those living with children, unemployed, those living in a region with a higher GDP, and those not consuming homemade meals could be more exposed to unhealthy behaviors. From a public health perspective, enhancing the message "to be active" during the compulsory isolation period should be prioritized.

摘要

本研究旨在确定波兰成年人在 COVID-19 大流行期间的饮食变化模式,并探讨这些变化模式与社会人口统计学、大流行前的体重指数(BMI)和生活方式改变之间的关系,同时还研究了封锁对饮食-生活方式改变的影响。本研究采用横断面在线调查收集数据。使用 -means 算法确定饮食变化模式,并进行逻辑回归分析。在研究期间,43%的受访者减少了体育锻炼,49%-增加了屏幕时间,34%-增加了食物摄入量。在三种饮食变化模式中,发现了两种相反的模式:健康促进(28%的参与者)和不健康(19%的参与者)。健康促进模式的坚持与年龄呈负相关,但与大流行前超重(aOR 1.31)或肥胖(aOR 1.64)呈正相关。居住在国内生产总值(GDP)超过 100%的宏观经济区域,会降低对健康模式的坚持(aOR 0.73),但会增加对不健康模式的坚持(aOR 1.47)。40 岁以上的成年人、与儿童同住的成年人、失业者、居住在 GDP 较高地区的成年人以及不食用自制餐的成年人,可能更容易出现不健康行为。从公共卫生的角度来看,在强制性隔离期间,应优先强调“保持活跃”的信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/207c/7468840/491c468aef40/nutrients-12-02324-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验