2008-21 年美国按种族和民族、年龄、性别和地点划分的福利差异:利用人类发展指数进行的分析

Laura Dwyer-Lindgren, Parkes Kendrick, Mathew M Baumann, Zhuochen Li, Chris Schmidt, Dillon O Sylte, Farah Daoud, Wichada La Motte-Kerr, Robert W Aldridge, Catherine Bisignano, Simon I Hay, Ali H Mokdad, Christopher J L Murray
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In this study of the USA, we aimed to adapt the HDI framework to measure the HDI at an individual level to examine disparities in the distribution of wellbeing by race and ethnicity, sex, age, and geographical location.<h3>Methods</h3>We used individual-level data on adults aged 25 years and older from the 2008–21 American Community Survey (ACS) Public Use Microdata Sample. We extracted information on race and ethnicity, age, sex, location (Public Use Microdata Areas), educational attainment, and household income and size. We merged these data with estimated life tables by race and ethnicity, sex, age, location (county), and year, generated using Bayesian small-area estimation models applied to death certificate data from the National Vital Statistics System. For each individual in the ACS, we used these combined data to estimate years of education, household consumption, and expected lifespan; converted each of these three features into an index using a percentile score; and calculated the HDI as the geometric mean of these three indices. Finally, we grouped individuals into yearly HDI deciles.<h3>Findings</h3>Years of education, household consumption, and expected lifespan—and thus the HDI—varied considerably among adults in the USA during the 2008–21 period. For most race and ethnicity and sex groups, the mean HDI increased gradually from 2008 to 2019, then declined in 2020 due to declines in expected lifespan, although there were systematic differences in the distribution of the HDI by race and ethnicity and sex. In the lowest HDI decile, there was over-representation (ie, &gt;10% of the total population of a given race and ethnicity and sex group) of American Indian and Alaska Native (AIAN) males (50% [SE 0·2] in decile, mean annual population in decile 0·37 million [SE 0·002]), Black males (40% [&lt;0·1], 4·67 million [0·006]), AIAN females (23% [0·1], 0·19 million [0·001]), Latino males (21% [&lt;0·1], 3·27 million [0·006]), Black females (14% [&lt;0·1], 1·86 million [0·004]), and Latina females (13% [&lt;0·1], 2·07 million [0·006]). Given differences in total population size, however, White males were the largest population group in the lowest decile (27% [&lt;0·1] of the lowest decile, 5·87 million [0·012]), followed by Black males (22% [&lt;0·1]) and Latino males (15% [&lt;0·1]). 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引用次数: 0

摘要

背景人类发展指数(HDI)--一个包含人口预期寿命、教育和收入的综合指标--被广泛用于评估和比较国家层面的人类发展和福祉,但并不考虑国家内部的不平等。在这项关于美国的研究中,我们旨在调整人类发展指数框架,以衡量个人层面的人类发展指数,从而研究不同种族和民族、性别、年龄和地理位置在福祉分布方面的差异。方法我们使用了 2008-21 年美国社区调查(ACS)公共使用微数据样本中 25 岁及以上成年人的个人层面数据。我们提取了有关种族和民族、年龄、性别、地点(公共使用微数据区)、教育程度以及家庭收入和规模的信息。我们将这些数据与按种族和民族、性别、年龄、地点(县)和年份分列的估计生命表合并,这些估计生命表是使用贝叶斯小区域估计模型生成的,该模型适用于国家生命统计系统的死亡证明数据。对于 ACS 中的每个人,我们使用这些综合数据来估算教育年限、家庭消费和预期寿命;使用百分位数将这三个特征中的每个特征转换成指数;并将这三个指数的几何平均数作为人类发展指数来计算。最后,我们将个人按每年的人类发展指数十分位数分组。研究结果2008-21 年间,美国成年人的受教育年限、家庭消费和预期寿命,以及人类发展指数差异很大。对于大多数种族、民族和性别群体而言,人类发展指数的平均值在 2008 年至 2019 年期间逐渐上升,然后在 2020 年由于预期寿命的下降而下降,尽管不同种族、民族和性别的人类发展指数分布存在系统性差异。在人类发展指数最低的十分位数中,美国印第安人和阿拉斯加原住民(AIAN)男性(十分位数中占 50%[SE 0-2],十分位数中的年平均人口为 0-3700 万[SE 0-002])、黑人男性(40%[<;0-1],4-6,700 万[0-006])、亚裔女性(23% [0-1],0-1900 万[0-001])、拉丁裔男性(21% [<0-1],3-2700 万[0-006])、黑人女性(14% [<0-1],1-8600 万[0-004])和拉丁裔女性(13% [<0-1],2-0700 万[0-006])。然而,鉴于总人口规模的差异,白人男性是最低十分位数中最大的人口群体(占最低十分位数的 27% [<0-1],5-87 百万 [0-012]),其次是黑人男性(22% [<0-1])和拉丁裔男性(15% [<0-1])。不同年龄组的这些模式存在明显差异:例如,就 25-44 岁年龄组而言,与 85 岁及以上年龄组(22%[1-1],0-0100 万[<0-001];和 20%[0-3],0-0300 万[<0-001])相比,人类发展指数最低十分位数中亚裔男性(66%[0-2]十分位数,0-2200 万[0-001])和黑人男性(46%[<0-1],2-5200 万[0-005])所占比例更高。相比之下,在最低十分位数中,亚裔女性在 25-44 岁年龄组中所占比例偏低(2%[<0-1],0-06 万[<0-001]),但在 85 岁及以上年龄组中所占比例偏高(25%[0-3],0-03 万[<0-001])。人类发展指数最低十分位数的 25-44 岁年龄组主要是男性(76% [<0-1],6-44 百万 [0-009]),而 85 岁及以上年龄组主要是女性(71% [0-1],0-42 百万 [0-002])。在人类发展指数最高的十分位数中,白种男性在各年龄段人口构成中的变化尤为显著,在 25-44 岁年龄组中占 5%(0-1;0-3 900 万 [0-001]),但在 85 岁及以上年龄组中占 49%(0-2;0-2900 万 [0-001])。从 2012 年到 2021 年,生活在人类发展指数最低十分位数的人口比例因地区不同而有很大差异,生活在美国南半部大部分地区、阿巴拉契亚和铁锈地带各州的人口中,处于人类发展指数最低十分位数的人口比例过高。这些差距并不是一成不变的,但改善也不是必然的,在 COVID-19 大流行等危机面前,取得的成果可能转瞬即逝。为了缩小这些差距,我们需要采取持续行动,确保每个人都能接受高质量的教育、获得足够的收入和健康长寿的机会,并应重点关注情况最差的人群和地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disparities in wellbeing in the USA by race and ethnicity, age, sex, and location, 2008–21: an analysis using the Human Development Index

Background

The Human Development Index (HDI)—a composite metric encompassing a population's life expectancy, education, and income—is used widely for assessing and comparing human development and wellbeing at the country level, but does not account for within-country inequality. In this study of the USA, we aimed to adapt the HDI framework to measure the HDI at an individual level to examine disparities in the distribution of wellbeing by race and ethnicity, sex, age, and geographical location.

Methods

We used individual-level data on adults aged 25 years and older from the 2008–21 American Community Survey (ACS) Public Use Microdata Sample. We extracted information on race and ethnicity, age, sex, location (Public Use Microdata Areas), educational attainment, and household income and size. We merged these data with estimated life tables by race and ethnicity, sex, age, location (county), and year, generated using Bayesian small-area estimation models applied to death certificate data from the National Vital Statistics System. For each individual in the ACS, we used these combined data to estimate years of education, household consumption, and expected lifespan; converted each of these three features into an index using a percentile score; and calculated the HDI as the geometric mean of these three indices. Finally, we grouped individuals into yearly HDI deciles.

Findings

Years of education, household consumption, and expected lifespan—and thus the HDI—varied considerably among adults in the USA during the 2008–21 period. For most race and ethnicity and sex groups, the mean HDI increased gradually from 2008 to 2019, then declined in 2020 due to declines in expected lifespan, although there were systematic differences in the distribution of the HDI by race and ethnicity and sex. In the lowest HDI decile, there was over-representation (ie, >10% of the total population of a given race and ethnicity and sex group) of American Indian and Alaska Native (AIAN) males (50% [SE 0·2] in decile, mean annual population in decile 0·37 million [SE 0·002]), Black males (40% [<0·1], 4·67 million [0·006]), AIAN females (23% [0·1], 0·19 million [0·001]), Latino males (21% [<0·1], 3·27 million [0·006]), Black females (14% [<0·1], 1·86 million [0·004]), and Latina females (13% [<0·1], 2·07 million [0·006]). Given differences in total population size, however, White males were the largest population group in the lowest decile (27% [<0·1] of the lowest decile, 5·87 million [0·012]), followed by Black males (22% [<0·1]) and Latino males (15% [<0·1]). There were notable differences in these patterns by age group: for example, for the 25–44 years age group, the lowest HDI decile had even greater over-representation of AIAN males (66% [0·2] in decile, 0·22 million [0·001]) and Black males (46% [<0·1], 2·52 million [0·005]) than the 85 years and older age group (22% [1·1], <0·01 million [<0·001]; and 20% [0·3], 0·03 million [<0·001]). By contrast, the lowest decile had an under-representation of Asian females (2% [<0·1], 0·06 million [<0·001]) in the 25–44 years age group, but an over-representation in the 85 years and older age group (25% [0·3], 0·03 million [<0·001]). The lowest HDI decile for the 25–44 years age group was primarily male (76% [<0·1], 6·44 million [0·009]) whereas for age 85 years and older it was predominantly female (71% [0·1], 0·42 million [0·002]). In the highest HDI decile, shifts in the composition of the population by age were particularly large for White males, who made up 5% (0·1; 0·39 million [0·001]) of this decile in the 25–44 years age group, but 49% (0·2; 0·29 million [0·001]) in the 85 years and older age group. From 2012 to 2021, the proportion of the population living in the lowest HDI decile varied substantially by location, and a disproportionately high share of the population living in locations in much of the southern half of the USA, Appalachia, and Rust Belt states were in the lowest HDI decile.

Interpretation

Substantial disparities in wellbeing exist within the USA and are heavily influenced by race and ethnicity (due to racism), sex, age, and geographical location. These disparities are not immutable, but improvement is not a given, and gains can be fleeting in the face of a crisis such as the COVID-19 pandemic. Sustained action to ensure that everyone has meaningful access to a high-quality education, the means to earn a sufficient income, and the opportunity to live a long and healthy life is needed to reduce these disparities and should focus on the populations and locations that are worst off.

Funding

State of Washington and National Institute on Minority Health and Health Disparities.
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