1 When I’m 104: The Determinants of Healthy Longevity Among the Oldest-Old in China Dennis A. Ahlburg Carlson School of Management University of Minnesota.

Slides:

Advertisements

Similar presentations

An introduction to ELSA Paola Zaninotto Department of Epidemiology and Public Health

Advertisements

Fertility history and health in later life: A study among older women and men in the British Household Panel Survey Sanna Read and Emily Grundy Centre.

Saving Lives: Our Healthier Nation 1999 The main targets were: Cancer – to reduce the death rate in under 75s by at least 20% Coronary Heart Disease and.

Wellbeing Watch: a monitor of health, wealth and happiness in the Hunter Shanthi Ramanathan.

Part 24 – Statistical Tests:3 Statistics and Data Analysis Professor William Greene Stern School of Business IOMS Department Department of Economics.

Case-Control Studies (Retrospective Studies). What is a cohort?

Mortality of the Oldest Old in China: the Impacts of Socioeconomic Status and Leisure Activities Rongjun Sun Department of Sociology Cleveland State University.

Risk of Low Birth Weight Associated with Family Poverty in Korea Bong Joo Lee Se Hee Lim Department of Social Welfare, Seoul National University. A Paper.

The Social Consequences of Economic Inequality for Canadian Children: A Review of the Canadian Literature.

Eating Disorders. Anorexia Nervosa An eating disorder that makes people lose more weight than is considered healthy for their age and height. People with.

Self perceived health in Ukraine: results of a cross sectional survey Dr Anna Gilmore EUROPEAN CENTRE ON HEALTH OF SOCIETIES IN TRANSITION London School.

Discrimination of Family Environment among Parents of Children with Diabetes and Parents of Children with Autism Kotrsotsiou, E., Dragioti, E., Kitta,

1 James P. Smith Childhood Health and the Effects on Adult SES Outcomes.

Smoking, Drinking and Obesity Hung-Hao Chang* David R. Just Biing-Hwan Lin National Taiwan University Cornell University ERS, USDA Present at National.

Copyright © 2009 Pearson Addison-Wesley. All rights reserved. Chapter 8 Human Capital: Education and Health in Economic Development.

Facing the Challenge The Impact of Recession & Unemployment on Men’s Health in Ireland June 2011 Prepared by Nexus Research for the Institute of Public.

Successful Ageing of the Oldest Old in China Du Peng Gerontology Institute, Renmin University of China.

Katy L. Gordon, BSN, RN What are the Statistics? Centers for Disease Control (2009). Adult obesity: Obesity rises among adults.

HEALTH STATUS OF ELDERLY IN SAGE COUNTRIES : ISSUES 12 TH Global Conference on Ageing Hyderabad June 11-13, 2014 Dr Somayajulu V ULIMIRI CEO and Executive.

Examining tobacco use and health in Glace Bay and Kings County, Nova Scotia Marcie D. Smith & Dr. Peter MacIntyre University College of Cape Breton.

RESILIENCE RESOURCES CONTRIBUTE TO BETTER HEALTH OUTCOMES AMONG RHEUMATOIC ARTHRITIS PATIENTS Kate E. Murray, B.A., Brendt P. Parrish, B.S., Mary C. Davis,

Measuring Years of Healthy Life: Use of Summary Measures in The Healthy People Initiative Ritu Tuteja, MPH National Center for Health Statistics.

Gender Differences in Longevity Predictors: Effects of Early-Life and Midlife Conditions on Exceptional Longevity Leonid A. Gavrilov Natalia S. Gavrilova.

1 International Comparative Data for Research and Policy on Aging James P. Smith.

Pattern of Diabetes Emergencies among adult Yemeni Diabetic Patients Dr. Zayed Atef Faculty of Medicine Sana’a University.

Health Trends SSP Executive 18 th December. How long we can expect to live for has increased both nationally and in Salford LE in Salford (years)

2009 PRC Community Health Survey COMMUNITY HEALTH A Data-Driven Approach to Identifying Community Needs Presentation of County-Level Findings Major Sponsors:

Global Population Aging and Human Capital Futures Dr. Natalia S. Gavrilova, Ph.D. Dr. Leonid A. Gavrilov, Ph.D. Center on Aging NORC and the University.

Measuring Community Health: What the data from Spartanburg tell us Kathleen Brady, PhD University of South Carolina Upstate September 10, 2015.

Measurement of Disability and Linkages with Welfare, Employment and Schooling: The Case of Uzbekistan Kinnon Scott Cem Mete June 2007.

Social Support and Quality of Life: China’s Oldest Old Zhenchao Qian Min Zhou The Ohio State University Presented at the workshop on “Determinants.

Quality Of Life, Health And Well Being Of Highly Active Individuals Louisa Raisbeck, Jeanne Johnston, Joel Stager, Francoise Benay Human Performance Laboratory,

Medea Chikava M.D., Ph.D THE UNIVERSITY Of GEORGIA Social Services Actions for Prevention Of Digestive Disorders Among Adolescents Medea Chikava M.D.,

Al wakeel J, Bayoumi M, Al Ghonaim M, Al Harbi A, Al Swaida A, Mashraqy A.

6 th Meeting of the Task Force on Health Expectancies 2 nd June 2008 Carol Jagger and Clare Gillies, University of Leicester Validating the GALI Question.

Poverty and Health Jennifer Madans, Kimberly Lochner, and Diane Makuc National Center for Health Statistics Centers for Disease Control and Prevention.

Unearthing the True Prevalence of Anxiety Within a Typical DGH Cohort of IBD Patients: Is it Time We Considered Routinely Screening for Anxiety? N. Swart.

A Study on DETERMINANTS OF HEALTHY LONGEVITY IN CHINA A. Introduction of Chinese longitudinal survey on Healthy Longevity; B. Some Results of the Data.

Chapter 18 The Aging Network. Copyright © 2005 by Thomson Delmar Learning. ALL RIGHTS RESERVED.2 U.S. Life Expectancy Selected Years,

Healthy People 2010 Focus Area 6: Disability and Secondary Conditions Progress Review November 16, 2006.

“Insuring Consumption against illness” Paul Gertler and John Gruber American Economic Review (2002) Presented by Osea Giuntella Getrler-Gruber(2002)- presented.

Trends in Functional Status and Disability among the Elderly Ellen Kramarow Jennifer Akerblom NCHS Data Users Conference July 2004 U.S. DEPARTMENT OF HEALTH.

Sociodemographic Effects on Task- specific ADL Functioning at the Oldest-old Ages Danan Gu 1 and Qin Xu 2 1. Public Policy, Duke University, China.

Predictors of Asthma in Young Children Does Reporting Source Affect Our Conclusions? Jane E. Miller Jane E. Miller, Ph.D. Institute for Health, Health.

Scientific Institute of Public Health Unit of Epidemiology REVES HEALTH EXPECTANCIES IN BELGIUM RESULTS FROM THE 2001 CENSUS H. Van Oyen (ISP) S.

IntroductionHypotheses Jianjun Ji, Justine Cornelius & John Hilgendorf  Sociology  University of Wisconsin-Eau Claire  Research on the physical health.

Gender difference in the effects of self- rated health on mortality among the oldest-old in China Jiajian Chen 1 Zheng Wu 2 1 East-West Center, Honolulu,

Social-economic Differentials of the Dying Risk of the oldest- old Chinese Liu, Guiping Max-Planck-Institute for Demographic Research.

Whose Life is it Anyway? Proxy v. Self reported quality of life in Childhood Cancer Survivors Penney Upton.

2002 Turkey Disability Survey. Purpose of Disability Survey The aim of this survey is to collect data on  Number of disabled people,  The proportion.

Higher levels of self-reported physical activity and aerobic fitness are associated with lower incidence of coronary heart disease and all-cause mortality.

Childhood Obesity and Early Chronic Diseases MaryJane Fuhrer Angela Romano.

ASSOCIATION OF RELIGIOUS PARTICIPATION WITH HEALTH AND SURVIVAL AMONG THE OLDEST OLD IN CHINA Zeng Yi, Danan Gu, Linda George.

Dyadic Patterns of Parental Perceptions of Health- Related Quality of Life Gustavo R. Medrano & W. Hobart Davies University of Wisconsin-Milwaukee Pediatric.

The American Family 50 years of change. Change… The American family has undergone tremendous change in the last 50 years. Some argue that family life.

Sources of Increasing Differential Mortality among the Aged by Socioeconomic Status Barry Bosworth, Gary Burtless and Kan Zhang T HE B ROOKINGS I NSTITUTION.

HOW ARE PRIORITY ISSUES FOR AUSTRALIA’S HEALTH IDENTIFIED? HEALTH PRIORITIES IN AUSTRALIA.

The Impact of Economic Factors on Mortality and Health at Oldest-Old Ages in China Zhong Zhao China Center for Economic Research Peking University August.

2010 World Programme on Population and Housing Censuses Workshop on Civil Registration and Vital Statistics in the UNESCWA Region Cairo, Egypt, December.

Future challenges Cont.. Challenges for healthier people Increasing the span of healthy life Not life expectancy Reduce health disparities Social and.

Self-rated Health and Mortality Risk in the Oldest Old in China Chinese Longitudinal Healthy Longevity Study Liu Yuzhi, Li Qiang Institute of Population.

The benefits of outdoor activities for older people’s wellbeing. Jemma Hawkins University of Wales Institute Cardiff

Distribution of health and Illness Social Class. Aims & Objectives Analyse data that demonstrates health inequality (class, gender, ethnicity) Analyse.

Chapter 8 Adolescents, Young Adults, and Adults. Introduction Adolescents and young adults (10-24) Adolescence generally regarded as puberty to maturity.

Sociology Capstone: The Relationship Between Parents’ Socioeconomic Status and Childhood Obesity Ashley Langdon.

The American Family 50 years of change.

Rabia Khalaila, RN, MPH, PHD Director, Department of Nursing

Perceived Caregiver Stress in Alzheimer’s disease and Mild Cognitive Impairment Vikas Dhikav, Pinki Mishra, Arjun Kumar Singhal*, Dolly Prajapati**, Kuljeet.

Socioeconomic Differentials in Mortality among the Oldest Old in China

Concepts of Development

Presentation transcript:

1 When I’m 104: The Determinants of Healthy Longevity Among the Oldest-Old in China Dennis A. Ahlburg Carlson School of Management University of Minnesota USA Eric Jensen Department of Economics College of William and Mary USA Ruyan Liao Carlson School of Management University of Minnesota USA

2 Aims:  Analysis of different Health Measures.  Analysis of determinants of health.

3 “defining health is a daunting task’’ (Miller, 2001) “[health status] reduces to a single statistic or two only with great difficulty.” (Murray, 2000)

4 Measures Used:  Self-reported health (bad, so-so, good, very-good)  Disease status (severe = two or more conditions, mild = one condition, well = no chronic conditions)  ADL status (severely disabled = 3 or more ADL, mildly disabled = 1 or 2 ADL, Active = no ADL)  Self-reported quality of life (bad, so-so, good, very- good)  Interviewer rating (very ill, moderately ill, relatively healthy, surprisingly healthy)  Illness (bedridden, some serious illness, no illness)

5 Table 1: Distribution of Health Measures

6

7

8  Are these measures reliable?  Are they valid?

9 Self-reported health :  Related to objective measures  Is a good predictor of mortality  Not related to ADL’s  Not comparable across individuals Measurement error in most measures Measures may be endogenous

10 Table 2: Correlation Matrix and the Factor Analysis of the Six Health Measures Correlation Matrix ADL statusDiseasesSelf healthSelf q-o-lIntrvr healthillness ADL status Diseases0.1956** Self health0.2541**0.1892** Self q-o-l0.0285** ** Intrvr health0.5393**0.2627**0.4244**0.1829** Illness0.2927**0.1537**0.1599**0.0368**0.3696** Note: ** means significant at 1% level. Are the measures related?

11 Table 2 cont: Correlation Matrix and the Factor Analysis of the Six Health Measures (Principal factors; 2 factors retained) FactorEigenvalueDifferenceProportionCumulative

12 Factor loadings 12uniqueness ADL status Disease Status Self-reported health Self-reported quality of life Interviewer health rating Illnesses

13 No single factor “health” So, correlations are low…

14 What determines health?  Work: type, duartion  Childhood: SES, health, healthcare, parity  Demography: age, sex, marriage, parents  Geography: region of birth, urban/rural  Human capital: education  Lifestyle: smoke, drink, exercise  Personality

15 Results  Physical labor: positive ADL, self-report, interviewer.  Health of farmers (ADL, disease, illness) better.  Healthcare in childhood is very important.  Children of farmers have better health (ADL, disease).  Age negative on ADL, but positive on quality of life.  Males positive except on quality of life.  Education positive on self-reported health.  “Good” marriage → + self-reported health.  Smoking, drinking are not related to health.  Exercise associated with better health.  A positive personality makes you healthier.

16 Conclusions  Health is a multidimensional concept  Modest support for impact of work on health  Childhood has effects on health at advanced ages  Exercise, a positive outlook, and a happy marriage make you healthier!