Selfrated Health and Mortality Risk in the Oldest Old in China Chinese Longitudinal Healthy Longevit - PowerPoint PPT Presentation

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Selfrated Health and Mortality Risk in the Oldest Old in China Chinese Longitudinal Healthy Longevit

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Title: Selfrated Health and Mortality Risk in the Oldest Old in China Chinese Longitudinal Healthy Longevit


1
Self-rated Health and Mortality Risk in the
Oldest Old in China Chinese Longitudinal Healthy
Longevity Study
  • Liu Yuzhi, Li Qiang
  • Institute of Population Research,
    Center for Healthy Aging
  • and Family Studies, Peking University,
    Beijing, China

2
Introduction
Risk factors
e.g. Socio-demographic
characteristics Engagement with life
Functional ability Disease burden
3
Introduction
  • Many studies have suggested that self-rated
    health (SRH) is significantly associated with
    mortality risk in young people, adults and the
    young old (e.g. Benyamini Idler, 1999 Idler
    Benyamini, 1997). Moreover, early research have
    proposed that self-rated health reflect the
    effects of disease burden and functional ability
    on the mortality.
  • Several research have pointed out that that older
    persons reported weaker associations between
    self-rated health and mortality compared with
    younger (Ilder Angel, 1990 Strawbridge
    Wallhagen, 1999).
  • Meanwhile, previous studies have proposed that
    the oldest old (Fourth Age) is very different
    from the young old (Third Age e.g. Baltes
    Smith, 2003 Maier and Smith, 1999 Suzman, et
    al., 1992 Zeng et al., 2002).
  • However, few studies investigated the
    relationship between self-rated health and
    mortality in the oldest old (Cai, 2004).

4
Research Questions
  • Is there significant association between
    self-rated health and mortality risk in the
    Chinese oldest old?
  • Is there the gender differences of the
    predictability of self-rated health for
    mortality risk?
  • Is missing values (as the additional level) in
    self-rated health related to higher mortality
    risk?

5
Sample
Three waves of Chinese Longitudinal Healthy
Longevity Study. N7623 60.03 women 3 Age
cohort 8089 (n2962) 9099(n2651)100105
(n2010)
6
Models
  • Hazard model with piecewise linear baseline
    intensity

the logarithm of the force of mortality at
attained age x
the log-hazard baseline with nodes at 85, 90, 95,
and 100 years of age
Self-rated health, the only time-varying
variable in the model
the coefficients of self-rated health
covariates in the model
coefficients of covariates.
7
Measures
Self-rated health How do you rate your health
at present?
Central Variable
Sex Type of residence Years of schooling
Occupation before 60 years old Marital Status
Caregivers while serious illness.
Socio-demographic characteristics
Engagement with life Number of activities
including housework,
reading, watch TV, religious
activities et al.
Covariates
Self-reported ADL MMSE Vision Hearing Bedridde
n.
Functional ability
Self-reported Number of illness
8
Results
Piecewise-Linear Baseline Log-Harzard of
Mortality in the Oldest Old
Log-Hazard
Age
9
Results
Mortality risk associated with Self-rated health
in the oldest old
Note plt. 1 plt.05 plt.01.
10
Results

Self-rated Health
Mortality risk
Risk factors
e.g. Socio-demographic
characteristics Engagement with life
Functional ability Number of illness
11
Results
Mortality risk associated with self-rated health
by gender
Note plt.05 plt.01 plt.001.
Gender Pattern is similar as the total pattern.
No significant gender difference was found in our
sample.
12
Discussion
  • Self-rated health is a significant predictor of
    mortality risk in the oldest old in China with
    controls for socio-demographic characteristics,
    engagement with life, functional ability, and
    number of illness! Engagement with life and
    functional ability partly explain the
    relationship between self-rated health and
    mortality risk in the oldest old. The impact of
    number of illness can be negligible.
  • No gender difference on the relationship between
    self-rated health and mortality risk is founded
    in our sample.
  • Missing values in self-rated health is highly
    associated with mortality risk. And more,
    participants with incomplete data in the
    self-rated health have the highest mortality
    risks.

13
Follow-up Analyses
  • Covariates time-varying variables.

14
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