Unveiling COVID-19’s Influence on Diet-Related Lifestyle: Insights from Google Trends Query Volumes

Current Nutrition & Food Science Pub Date : 2024-05-13 DOI:10.2174/0115734013300417240430115211

Patricia Micheal, Nagaveni Shivshetty, Jyoti Mukerjee, V. G. Poosarla, Ajay Kumar Oli

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Abstract

This study aimed to showcase the particular lifestyle and behavioural pattern changes during the pandemic using Google Trends (GT). The pandemic hit by the Coronavirus Disease 2019 (COVID-19) globally has brought basic living into the context of surprise. Since the lockdown and social restrictions, the population has faced many changes in their daily routine. To demonstrate how COVID-19 affects eating habits and lifestyle in India. The purpose of the study was to demonstrate how COVID-19 has affected eating habits and lifestyle in India. A retrospective analysis was carried out with the aid of Google Trend Relative Search Volume (RSV) data obtained for interest areas, such as COVID-19 cases, symptoms, preference of medicines, choice of nutrients, reduced physical activity, and watching varied Over-the-top media service (OTT) platforms as the source of entertainment; these were the variables that were taken into consideration to derive correlation coefficient values. There was a strong positive correlation found between zinc and vitamin C, zinc and vitamin D, and vitamin C and D, which was 0.83, 0.78, and 0.72, respectively. Symmetrical observation has been observed in Netflix and Amazon Prime as 0.81; a notable negative correlation was found between COVID-19 and gym as -0.32. This study can be used as a checkpoint list for future predictions and past timelines and how they have a cohabitant role in the spread of the epidemic and its line of mitigation strategies. NIL

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揭示 COVID-19 对饮食相关生活方式的影响：从谷歌趋势查询量中获得的启示

本研究旨在利用谷歌趋势（GT）展示大流行期间生活方式和行为模式的特殊变化。2019 年冠状病毒病（COVID-19）在全球范围内的大流行使人们的基本生活变得令人吃惊。该研究旨在说明 COVID-19 如何影响印度人的饮食习惯和生活方式。研究借助谷歌趋势相对搜索量（RSV）数据对相关领域进行了回顾性分析，这些领域包括 COVID-19 病例、症状、对药物的偏好、对营养素的选择、体育锻炼的减少以及观看各种作为娱乐来源的 OTT 平台；这些都是得出相关系数的考虑变量。锌与维生素 C、锌与维生素 D、维生素 C 与维生素 D 之间的相关系数分别为 0.83、0.78 和 0.72。在 Netflix 和 Amazon Prime 中也观察到了对称性，相关系数为 0.81；在 COVID-19 和健身房之间发现了显著的负相关，相关系数为-0.32。这项研究可用作未来预测和过去时间表的检查点清单，以及它们在流行病传播及其缓解策略中的共同作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Current Nutrition & Food Science

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