Heterogeneous Effects of Volunteering on Frailty in Later Life: A Panel Quantile Regression Approach

被引:1
|
作者
Han, Sae Hwang [1 ,2 ]
Park, Narae [3 ]
机构
[1] Univ Texas Austin, Dept Human Dev & Family Sci, Austin, TX 78712 USA
[2] Univ Texas Austin, Populat Res Ctr, Austin, TX 78712 USA
[3] Korea Univ, FOUR R&E Ctr Econ BK21, Dept Econ, Seoul, South Korea
关键词
Health and Retirement Study; Health disparities; Helping behaviors; Population health; OLDER-ADULTS; HEALTH; BENEFITS; RESOURCES; WORK;
D O I
10.1093/geronb/gbae033
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Objectives Decades of research indicate that volunteering is associated with better health for the volunteer beyond the selection effects based on health. However, little is known about potential heterogeneity in health outcomes associated with volunteering in the context of good or poor health. This study addresses this gap by focusing on the frailty index (FI) to investigate the volunteering-health nexus across the population frailty distribution ranging from fit to frail.Methods Using nationally representative data from the Health and Retirement Study (person N = 34,986; 198,218 person-wave observations), we estimated unconditional quantile regression models with panel fixed effects to estimate changes in FI associated with changes in the share of volunteers in the population across the frailty distribution observed across the study period (1998-2020).Results Our findings demonstrated that the volunteering-FI association was heterogeneous across the frailty distribution. The association was the most potent at the higher end of the frailty distribution, suggesting that efforts to promote volunteering may yield greater benefits for older adults experiencing high levels of frailty.Discussion The current study findings provide unique and compelling evidence in support of earlier calls for considering volunteering as a public health intervention. The study findings are discussed in the context of population health outcomes and health disparities.
引用
收藏
页数:8
相关论文
共 50 条
  • [21] Financial globalization and income inequality nexus: panel quantile regression approach
    Kebede, Jeleta Gezahegne
    Tawiah, Vincent
    JOURNAL OF ECONOMIC STUDIES, 2021, : 73 - 95
  • [22] The heterogeneous effects of socioeconomic determinants on PM2.5 concentrations using a two-step panel quantile regression
    Yan, Dan
    Ren, Xiaohang
    Kong, Ying
    Ye, Bin
    Liao, Zangyi
    APPLIED ENERGY, 2020, 272
  • [23] Quantile regression for general spatial panel data models with fixed effects
    Dai, Xiaowen
    Yan, Zhen
    Tian, Maozai
    Tang, ManLai
    JOURNAL OF APPLIED STATISTICS, 2020, 47 (01) : 45 - 60
  • [24] A quantile regression approach to the analysis of the quality of life determinants in the elderly
    Broccoli, S.
    Cavrini, G.
    Zoli, M.
    STATISTICA, 2005, 65 (04) : 419 - 436
  • [25] The Effects of Personality Traits on Wages: A Quantile Regression Approach
    Girtz, Robert
    ECONOMICS BULLETIN, 2015, 35 (04): : 2174 - 2183
  • [26] A quantile regression approach for estimating panel data models using instrumental variables
    Harding, Matthew
    Lamarche, Carlos
    ECONOMICS LETTERS, 2009, 104 (03) : 133 - 135
  • [27] The relationship between fiscal federalism and fiscal discipline: panel quantile regression approach
    Olaide, Kayode
    Uwilingiye, Josine
    Simo-Kengne, Beatrice D.
    HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS, 2025, 12 (01):
  • [28] Semiparametric Approach to a Random Effects Quantile Regression Model
    Kim, Mi-Ok
    Yang, Yunwen
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2011, 106 (496) : 1405 - 1417
  • [29] The nonlinear relationship between poverty and financial globalisation: A panel quantile regression approach
    Singh, Sunny Kumar
    Sharma, Prateek
    Sharma, Swati
    WORLD ECONOMY, 2024, 47 (02): : 664 - 708
  • [30] Debiased inference on heterogeneous quantile treatment effects with regression rank scores
    Giessing, Alexander
    Wang, Jingshen
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2024, 85 (05) : 1561 - 1588