A Natural Experiment Evaluating the Effect of a Minimum Wage Increase on Obesity and Diet-Related Outcome
评估最低工资增长对肥胖和饮食相关结果影响的自然实验
基本信息
- 批准号:10379361
- 负责人:
- 金额:$ 58.85万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-08-23 至 2025-03-31
- 项目状态:未结题
- 来源:
- 关键词:AffectAmericanBehavioralBlack PopulationsBody mass indexBusinessesChronic DiseaseCitiesCommunitiesCountyDietEconomic PolicyEmployeeExpenditureFoodFood Assistance ProgramsGovernmentHealthHealth FoodHealthcareHeightHispanicHispanic PopulationsHourHouseholdHousingIndividualLawsLinkLow incomeMeasurementMeasuresMediatingMediator of activation proteinMinnesotaNatural experimentNorth CarolinaNot Hispanic or LatinoObesityOutcomeParticipantPersonal SatisfactionPhysical activityPoliciesPopulationPositioning AttributeProspective StudiesQuasi-experimentRecreationReduce health disparitiesReportingResearchRiskRisk FactorsS-nitro-N-acetylpenicillamineSchoolsSleepSpecial Supplemental Nutrition Program for Women, Infants, and ChildrenStep TestsStressSurveysTestingTimeTransportationUnited StatesUnited States Department of AgricultureUniversitiesWagesWeightcohortcostdesignethnic minorityfood insecurityfood securityfruits and vegetableshealth equityhigh riskimprovedmembernutritionobesity preventionobesity riskpopulation healthpreemptprimary outcomeprospectivepsychosocialracial and ethnicsugarsweetened beverage
项目摘要
Minimum wage laws are increasingly being recognized as a possible policy lever for improving
population health and health equity, with the potential for implementation at the local, state, and national levels.
On June 30, 2017, Minneapolis, Minnesota became the 40th local jurisdiction to set the minimum wage above
the state level. The city will incrementally increase the minimum wage to $15 an hour by July 1, 2022 for all
firms with greater than 100 employees; minimum wage in smaller firms will increase to $13.50 during this time
period. The ordinance is expected to increase wages among the 71,000 workers likely to be affected, who are
disproportionately non-Hispanic black and Hispanic workers. The available evidence suggests that minimum
wage laws may be associated with a range of health outcomes. This includes obesity, as increasing wages can
improve food security and reduce cost constraints for purchasing healthier foods. However, existing studies
linking wages and weight have design weaknesses that limit causal inference and the ability to identify causal
mechanisms. This study, which has a prospective quasi-experimental design with a strong counterfactual
condition, is the next step for testing whether and how an increase in minimum wage results in improved
obesity-related outcomes among low-wage workers. Throughout the 4.5-year implementation of the
Minneapolis minimum wage ordinance, we will follow a cohort of low-wage workers (those earning less than
$10 an hour at baseline) in a natural experiment, using a difference-in-difference design to compare a panel of
obesity-related measures in a cohort of low-wage workers in Minneapolis (n = 400) and similar workers in a
matched control community (n = 400), Raleigh, NC. The control city has a statewide preemption law which
prohibits local minimum wage increases. Measures for all individuals will be collected at baseline (T0) and after
5 incremental wage increases (T1-T5) through June 2022. The study aims to test the difference in change in
body mass index (BMI, the primary outcome) between individuals in the two conditions, as assessed by
anthropometric height-weight measurements. We will also test the difference in change in the two conditions
for a range of nutrition-related outcomes, including purchases of healthier and less healthy foods (measured by
food purchase receipts), food insecurity (measured by a 6-item USDA measure), and participation in
government food assistance programs (measured by participant survey). Finally, we will test other behavioral
and psychosocial mechanisms through which wages might affect obesity, and explore spending changes in
household health-related expenses over time. Minimum wage laws are a potential upstream approach to
prevent obesity, and these policies may be uniquely positioned to reduce health disparities because they
intervene on a population (lower-income, high racial/ethnic minority) at the highest risk for poor health. This
natural experiment offers a time-sensitive opportunity to test policy effects and contribute a rare health-oriented
perspective to the national discourse around the effects of an economic policy.
最低工资法越来越被认为是一种可能的政策杠杆
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Examining Changes in Food Security, Perceived Stress, and Dietary Intake in a Cohort of Low-Wage Workers Experiencing an Increase in Hourly Wage.
检查一群经历小时工资增长的低工资工人的粮食安全、感知压力和膳食摄入量的变化。
- DOI:10.1177/15248399221128005
- 发表时间:2024
- 期刊:
- 影响因子:1.9
- 作者:Chapman,LeahElizabeth;Berkowitz,SethA;Ammerman,Alice;DeMarco,Molly;Ng,ShuWen;Zimmer,Catherine;Caspi,CaitlinE
- 通讯作者:Caspi,CaitlinE
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Caitlin Eicher Caspi其他文献
Caitlin Eicher Caspi的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Caitlin Eicher Caspi', 18)}}的其他基金
A Natural Experiment Evaluating the Effect of a Minimum Wage Increase on Obesity and Diet-Related Outcome
评估最低工资增长对肥胖和饮食相关结果影响的自然实验
- 批准号:
10306872 - 财政年份:2020
- 资助金额:
$ 58.85万 - 项目类别:
A natural experiment evaluating the effect of a minimum wage increase on obesity and diet-related outcome
一项自然实验,评估最低工资增长对肥胖和饮食相关结果的影响
- 批准号:
9914257 - 财政年份:2018
- 资助金额:
$ 58.85万 - 项目类别:
A multi-component intervention in the hunger relief network to improve diet among adults experiencing food insecurity
对饥饿救济网络进行多方面干预,以改善经历粮食不安全的成年人的饮食
- 批准号:
10291727 - 财政年份:2017
- 资助金额:
$ 58.85万 - 项目类别:
A multi-component intervention in the hunger relief network to improve diet among adults experiencing food insecurity
对饥饿救济网络进行多方面干预,以改善经历粮食不安全的成年人的饮食
- 批准号:
9895471 - 财政年份:2017
- 资助金额:
$ 58.85万 - 项目类别:
相似海外基金
Cognitive Behavioral Faith-based Depression Intervention For African American Adults (CB-FAITH): An Effectiveness And Implementation Trial
非裔美国成年人基于认知行为信仰的抑郁干预 (CB-FAITH):有效性和实施试验
- 批准号:
10714464 - 财政年份:2023
- 资助金额:
$ 58.85万 - 项目类别:
Factors and Training Approaches that Enhance the Integration of American Indian Culture into Tele-Behavioral Substance Use/Substance Use Disorders Treatment.
促进美洲印第安人文化融入远程行为药物使用/药物使用障碍治疗的因素和培训方法。
- 批准号:
10441963 - 财政年份:2021
- 资助金额:
$ 58.85万 - 项目类别:
Culturally Re-Centering Contingency Management and Behavioral Economics to Increase Engagement with American Indian Young Adults
在文化上重新定位应急管理和行为经济学,以增加与美国印第安年轻人的参与
- 批准号:
10483131 - 财政年份:2020
- 资助金额:
$ 58.85万 - 项目类别:
Culturally Re-Centering Contingency Management and Behavioral Economics to Increase Engagement with American Indian Young Adults
在文化上重新定位应急管理和行为经济学,以增加与美国印第安年轻人的参与
- 批准号:
10267772 - 财政年份:2020
- 资助金额:
$ 58.85万 - 项目类别:
Improving the representativeness of American Indian Tribal Behavioral Risk Factor Surveillance System (TBRFSS) by machine learning and propensity score based data integration approach A1
通过机器学习和基于倾向评分的数据集成方法提高美洲印第安人部落行为风险因素监测系统(TBRFSS)的代表性A1
- 批准号:
10063407 - 财政年份:2020
- 资助金额:
$ 58.85万 - 项目类别:
Culturally Re-Centering Contingency Management and Behavioral Economics to Increase Engagement with American Indian Young Adults
在文化上重新定位应急管理和行为经济学,以增加与美国印第安年轻人的参与
- 批准号:
10680447 - 财政年份:2020
- 资助金额:
$ 58.85万 - 项目类别:
Improving the representativeness of American Indian Tribal Behavioral Risk Factor Surveillance System (TBRFSS) by machine learning and propensity score based data integration approach A1
通过机器学习和基于倾向评分的数据集成方法提高美洲印第安人部落行为风险因素监测系统(TBRFSS)的代表性A1
- 批准号:
10271402 - 财政年份:2020
- 资助金额:
$ 58.85万 - 项目类别:
US-South American Initiative for Genetic-Neural-Behavioral Interactions in Human Neurodegenerative Research
美国-南美人类神经退行性研究中遗传-神经-行为相互作用倡议
- 批准号:
10391560 - 财政年份:2019
- 资助金额:
$ 58.85万 - 项目类别:
Integrating Microenterprise and Behavioral Economics for HIV Prevention in African-American Young Adults
整合微型企业和行为经济学预防非洲裔美国年轻人的艾滋病毒
- 批准号:
10024671 - 财政年份:2019
- 资助金额:
$ 58.85万 - 项目类别:
US-South American Initiative for Genetic-Neural-Behavioral Interactions in Human Neurodegenerative Research
美国-南美人类神经退行性研究中遗传-神经-行为相互作用倡议
- 批准号:
10219627 - 财政年份:2019
- 资助金额:
$ 58.85万 - 项目类别:














{{item.name}}会员




