月经症状管理中的不平等现象:利用购物数据创新女性生殖健康研究

Poppy Taylor, A. Skatova, Laura D Howe, Abigail Fraser, Hannah Knight
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引用次数: 0

摘要

导言与背景月经影响着半数人口,但对其模式和管理的研究却远远不够。规律而正常的月经周期被认为是重要的生命体征,与月经相关的问题是生殖健康和更广泛健康问题的有力指标。本项目利用新颖的健康数据源--购物数据历史记录--研究个人如何管理痛经、经量强度、心理健康等月经症状,并探索这些管理策略中潜在的社会不平等。目标与方法我们提出了一个利用购物数据研究月经症状管理的概念框架。本研究的核心目标是加强我们对月经管理策略和其中潜在不平等现象的了解,同时评估购物数据在未来女性生殖健康研究中的实用性和可接受性。我们的研究重点是利用英国超市和药品零售商的会员卡数据,深入了解全国范围内的月经症状管理情况。我们将研究零售数据,以确定可能与月经管理相关的产品和购买模式,并进行调查,以便与购物数据建立联系。我们将咨询公众,调查他们对用于健康研究的购物数据的态度,并为解释数据中的模式提供信息。与 "数字足迹 "的相关性该项目有助于加深对将数字数据用于健康研究这一重要社会挑战的理解。我们对月经健康和其他女性生殖健康问题的实际应用进行了调查,以期实现有意义的变革。结论与影响通过分析购物行为,结合调查数据和地区级社会经济数据,我们旨在确定英国的哪些地区和个人特征会影响月经症状的发生风险,以及在高收入背景下控制这些症状的能力。我们的研究将有助于了解妇女和月经患者的月经管理策略以及相关的不平等现象。
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The role of inequalities in managing symptoms of menstruation: harnessing shopping data to innovate female reproductive health research
Introduction & BackgroundMenstruation affects half the population, yet its patterns and management are greatly under-researched. A regular and functioning menstrual cycle is considered an important vital sign and menstrual-related issues can be strong indicators of both reproductive and wider health issues. This project explores a novel health data source - shopping data history - to study how individuals manage menstrual symptoms such as pain, intensity of flow, mental health, and other issues, and explore potential social inequalities in these management strategies. Objectives & ApproachWe present a conceptual framework of studying management of menstruation symptoms using shopping data. The core objectives of this research are to enhance our understanding of menstrual management strategies and potential inequalities in these whilst evaluating the utility and acceptability of shopping data for future female reproductive health research. Our research will focus on harnessing loyalty card data from UK supermarkets and pharmaceutical retailers to provide insights into the management of menstrual symptoms at a national level. We will study retail data to identify products and patterns of purchasing which may be relevant to menstrual management and conduct surveys for linkage with shopping data. The public will be consulted to investigate attitudes towards shopping data for health research and inform interpretations of patterns in the data. Relevance to Digital FootprintsThis project contributes to advancing of understanding of using digital data for health research on an important societal challenge. We investigate the practical applications for menstrual health and other female reproductive health issues, with scope to enact meaningful change. Conclusions & ImplicationsBy analysing shopping behaviour, combined with survey data and area-level socioeconomic data, we aim to identify regions of the UK and individual characteristics which influence the risk of experiencing menstrual symptoms and ability to manage these within a high-income context. Our research will contribute to understanding of menstrual management strategies for women and people who menstruate, and associated inequalities.
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