MHQ: constructing an aggregate metric of population mental wellbeing.

IF 3.2 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Jennifer Jane Newson, Oleksii Sukhoi, Tara C Thiagarajan
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引用次数: 0

Abstract

Background: According to the World Health Organization (WHO), mental health is 'a state of wellbeing in which the individual realizes his or her own abilities, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to his or her community'. Any population metric of mental health and wellbeing should therefore not only reflect the presence or absence of mental challenges but also a person's broad mental capacity and functioning across a range of cognitive, social, emotional and physical dimensions. However, while existing metrics of mental health typically emphasize ill health, existing metrics of wellbeing typically focus on happiness or life satisfaction, indirectly infer wellbeing from a selection of social and economic factors, or do not reflect a read out of the full spectrum of mental functioning that impacts people's everyday life and that spans the continuum from distress and the inability to function, through to the ability to function to one's full potential.

Methods: We present the Mental Health Quotient, or MHQ, a population metric of mental wellbeing that comprehensively captures mental functioning, and examine how it relates to functional productivity. We describe the 47-item assessment and the life impact rating scale on which the MHQ metric is based, as well as the rationale behind each step of the nonlinear algorithm used to construct the MHQ metric.

Results: We demonstrate a linear relationship between the MHQ metric and productive life function where movement on the scale from any point or in any direction relates to an equivalent shift in productive ability at the population level, a relationship that is not borne out using simple sum scores. We further show that this relationship is the same across all age groups. Finally, we demonstrate the potential for the types of insights arising from the MHQ metric, offering examples from the Global Mind Project, an initiative that aims to track and understand our evolving mental wellbeing, and since 2020 has collected responses from over 1 million individuals across 140 + countries.

Conclusion: The MHQ is a metric of mental wellbeing that aligns with the WHO definition and is amenable to large scale population monitoring.

MHQ:构建人口心理健康综合指标。
背景:根据世界卫生组织(WHO)的定义,心理健康是 "一种幸福的状态,在这种状态下,个人能够认识到自己的能力,能够应对正常的生活压力,能够富有成效地工作,能够为自己的社区做出贡献"。因此,任何精神健康和幸福的人口指标都不应仅仅反映是否存在精神挑战,还应反映一个人在认知、社会、情感和身体等方面的广泛精神能力和功能。然而,现有的心理健康指标通常强调的是健康状况不佳,而现有的幸福指标通常关注的是幸福感或生活满意度,从一些社会和经济因素中间接推断出幸福感,或者没有反映出影响人们日常生活的全部心理功能,这些心理功能跨越了从苦恼和无法发挥功能到能够充分发挥潜能的整个过程:我们介绍了心理健康商数(MHQ)--一种全面反映心理功能的人口心理健康指标,并研究了它与功能性生产力之间的关系。我们介绍了 47 个评估项目和作为 MHQ 指标基础的生活影响评级量表,以及用于构建 MHQ 指标的非线性算法每一步的原理:我们证明了 MHQ 指标与生产性生活功能之间的线性关系,即在量表上任何一点或任何方向的移动都与人口水平上生产性能力的等效移动有关,而简单的分数总和并不能证明这种关系。我们进一步证明,这种关系在所有年龄组中都是相同的。最后,我们以 "全球心智项目"(Global Mind Project)为例,展示了从心理健康素质指标中获得各类见解的潜力。"全球心智项目 "旨在跟踪和了解我们不断变化的心理健康状况,自 2020 年以来已收集了来自 140 多个国家 100 多万人的反馈:结论:心理健康调查表是一种与世界卫生组织的定义相一致的心理健康度量标准,可用于大规模人口监测。
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来源期刊
Population Health Metrics
Population Health Metrics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
6.50
自引率
0.00%
发文量
21
审稿时长
29 weeks
期刊介绍: Population Health Metrics aims to advance the science of population health assessment, and welcomes papers relating to concepts, methods, ethics, applications, and summary measures of population health. The journal provides a unique platform for population health researchers to share their findings with the global community. We seek research that addresses the communication of population health measures and policy implications to stakeholders; this includes papers related to burden estimation and risk assessment, and research addressing population health across the full range of development. Population Health Metrics covers a broad range of topics encompassing health state measurement and valuation, summary measures of population health, descriptive epidemiology at the population level, burden of disease and injury analysis, disease and risk factor modeling for populations, and comparative assessment of risks to health at the population level. The journal is also interested in how to use and communicate indicators of population health to reduce disease burden, and the approaches for translating from indicators of population health to health-advancing actions. As a cross-cutting topic of importance, we are particularly interested in inequalities in population health and their measurement.
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