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Title: Marital Status, Health and Mortality: The Role of Living Arrangement


1
Marital Status, Health and Mortality The Role of
Living Arrangement
  • Paul Boyle, Peteke Feijten and Gillian Raab
  • University of St Andrews,
  • School of Geography Geosciences
  • Longitudinal Studies Centre - Scotland

2
Health differences between the married and
unmarried
  • Unmarried people are less healthy and more likely
    to die than their married counterparts.
  • This has been found for almost 150 years and in
    many countries
  • France Farr, 1858
  • Country-comparison by Hu Goldman, 1990
  • USA Gove, 1973 Waite, 1995 Lillard Panis,
    1996 Kaplan, 2006
  • UK Maxwell Harding, 1998 Breeze et al., 1999
    Gardner Oswald, 2004
  • Unmarried usually meant single, but nowadays
    many unmarried people are in consensual unions.

3
Why are married people healthier?
  • Selection
  • Healthy people are more likely to marry and stay
    married than unhealthy people
  • Causality
  • Married people have healthier behaviour because
    they
  • are cared for and corrected by their partner
  • feel the obligation of being a healthy
    spouse/parent
  • receive support from their partner in dealing
    with difficult situations
  • Married people have on average better material
    well-being (income, assets and wealth)
  • Married people have a more satisfying sex life

4
Marital status versus living arrangement
  • Are the differences found between married and
    unmarried people due to marital status, or merely
    due to the fact that married people have someone
    to live with?
  • Research question
  • How does living arrangement affect health
  • and death risk?

5
Hypotheses
  • Those who live alone are more likely to die than
    those who live with others.
  • Unmarried adults (never married, divorced or
    widowed) who live with others are no more likely
    to die than married adults who live with others.
  • Living with other adults is more protective than
    living with children.
  • Living arrangement in the past influences current
    health.

6
Data
  • Longitudinal Study of England and Wales
  • Sample LS members enumerated in census 1971,
    1981, 1991 and 2001 aged 20-64 in the census
    year (20-74 in 2001), not living in communal
    establishments, who are not lost in follow up.
  • Type of data used
  • census data on individual and household
    characteristics
  • death records

7
Dependent variables
8
Covariates
  • Gender (separate analyses for men and women)
  • Age
  • Living arrangement
  • Marital status
  • Living arrangement history
  • Social class
  • Economic activity status
  • Highest qualification
  • Tenure
  • Car access
  • Urban/rural indicator of place of residence

9
Definitions
  • Marital status
  • never married
  • married (includes re-married and separated)
  • divorced
  • widowed
  • Living arrangement
  • alone
  • with adults
  • with children
  • with adults and children
  • Living arrangement history
  • continually living with others
  • alone then with others
  • with others then alone
  • alone with others alone again
  • with others alone with others again

10
Method
  • Hypotheses 1-3
  • Logistic regression of death (0survived, 1died)
    in 10-year post census period, with individual
    and household characteristics in census year as
    covariates
  • Hypothesis 4
  • Logistic regression of poor health in 2001
    (0good/fair health, 1poor health), with
    individual and household characteristics in 2001
    and living arrangement history as covariates

11
H1 Those who live alone are more likely to die
than those who live with others.
12
H1 Those who live alone are more likely to die
than those who live with others.
13
H2 Unmarried adults (never married, divorced or
widowed) who live with others are no more likely
to die than married adults who live with others.
Source ONS Longitudinal Study of England and
Wales
14
H2 Unmarried adults (never married, divorced or
widowed) who live with others are no more likely
to die than married adults who live with others.
Source ONS Longitudinal Study of England and
Wales
15
H3 Living with other adults is more protective
than living with children.
Source ONS Longitudinal Study of England and
Wales
16
H3 Living with other adults is more protective
than living with children.
Source ONS Longitudinal Study of England and
Wales
17
H4 Living arrangement in the past influences
current health.
Source ONS Longitudinal Study of England and
Wales
18
H4 Living arrangement in the past influences
current health.
Source ONS Longitudinal Study of England and
Wales
19
Summary
  • Our findings confirm results from previous
    marital status studies.
  • In addition to that
  • We found that over the whole 1971-2001 period,
    living with others is associated with better
    health and lower death risk for men and women.
  • Yet, living arrangement cannot fully account for
    the protective effect of marriage for men,
    because married men living with others have a
    lower death risk than unmarried men living with
    others.
  • When we control for background characteristics
    (mainly socio-economic), effects of living
    arrangement and marital status disappear for
    women.
  • We found no support for our hypothesis that
    living arrangement history affects current health.

20
Discussion
  • The category Unmarried, living with others
    increasingly consists of unmarried cohabitors. Is
    this similar to being married in the way it
    relates to health?
  • What we found are associations. More
    sophisticated modelling could be used to
    distinguish selection from more causal mechanisms
    (e.g., simultaneous equation modelling like in
    Lillard Panis, 1996)

21
Acknowledgements
  • The permission of the Office for National
    Statistics to use the Longitudinal Study is
    gratefully acknowledged, as is the help provided
    by staff of the Centre for Longitudinal Study
    Information User Support (CeLSIUS). CeLSIUS is
    supported by the ESRC Census of Population
    Programme (Award Ref H 507 25 5179). The authors
    alone are responsible for the interpretation of
    the data. The clearance number of this
    presentation is 30056A.
  • The presentation of this research was made
    possible by an Overseas Conference Grant of the
    British Academy, whose support is gratefully
    acknowledged (grant nr OCG-47356).
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