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Living alone and mental health: a longitudinal study

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Living alone has become a common phase in the lifecourse ... Married people enjoy better mental health than other demographic groups (Lillard & Panis, 1996) ... – PowerPoint PPT presentation

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Title: Living alone and mental health: a longitudinal study


1
Living alone and mental health a longitudinal
study
  • Zhiqiang Feng, Peteke Feijten, Paul Boyle
  • Longitudinal Studies Centre for Scotland
  • School of Geography and Geosciences
  • University of St Andrews
  • Scotland, UK

2
Introduction
  • Living alone has become a common phase in the
    lifecourse with one person households now making
    up a third of all households in Britain
  • This is a rising trend in western societies
  • Proportion of 16-59 year olds living alone in
    Britain has trebled from 5 in 1971 to 16 in
    2002

3
Proportion of households and people in one
person households
Source Social Trends No 36, 2006, ONS
4
Introduction
  • Increase of people who live alone has many
    social, economic and policy implications
  • The trends are regarded as symbolic of excessive
    individualism (Bauman 1995).
  • Also optimistically as a democratisation of
    personal life

5
Introduction
  • Increase of living alone leads to more housing
    demand, more poverty, social inequality, care
    demand, decrease of fertility
  • And health problems which are not widely
    researched.

6
Does living alone matter?
  • Living alone is a type of social isolation
  • Social isolation may be detrimental to
    individuals mental health
  • Faris, (1934)
  • Any form of isolation that cuts the person off
    from intimate social relations for an extended
    period of time may lead to this form of mental
    disorder.

7
Does living alone matter?
  • People living alone are less likely to develop
    close personal relationship and the same level of
    commitment to other people than people who living
    together
  • Persons living alone much less likely to be
    engaged in mutual obligations and mutual
    reinforcement of a primary type, particularly on
    a daily basis

8
Does living alone matter?
  • Persons living alone less likely involve
    emotional gratification and personal
    satisfaction.
  • Although individually people living alone may be
    better off they are worse off because of pooling
    effects for people living as a family
  • Living alone more likely to have pathological
    behaviour, smoking, drinking

9
Does living alone matter?
  • However, social integration involves not only
    benefits but costs
  • Social relations can be a source of emotional,
    physical, and financial tension (House, et al
    1988)
  • At an extreme, of all social ties, family
    relations are most likely to be negative and
    damaging to individual well-being.

10
Does living alone matter?
  • Marriage has been shown to have protective
    effects on peoples health
  • Married people enjoy better mental health than
    other demographic groups (Lillard Panis, 1996)

11
Previous studies
  • Supportive
  • Smith et al 2005 Rogers et al 2000 Denton
    Walters, 1999 Hughes Waite 2002 Joutsenniemi
    et al 2006
  • Unsupportive
  • Hughes Gove 1981 Denton Walters 1999

12
What will this study do?
  • This research focuses on the effect of living
    alone on mental health
  • Longitudinal data

13
Research questions
  • Does living alone affect mental health?
  • Does living alone affect mental health
    independent of marital status?
  • Does the transition into living alone affect
    mental health?
  • Are there gender differences in the effect of
    living alone?

14
Data
  • British Household Panel Survey (BHPS)
  • A national representative sample
  • Prospective samples-interviewees are followed
    annually from 1991
  • All household members over 16 are interviewed
  • 1991-2003, 5000 households and 10000 people

15
Measurement of mental health
  • General Health Questionnaire (GHQ)
  • 12 questions like
  • Have you recently
  • Lost much sleep over worry?
  • Felt constantly under strain?
  • Felt you could not overcome your difficulties?
  • Been feeling unhappy and depressed?
  • Been losing confidence in yourself?
  • Been thinking of yourself as a worthless person?

16
Measurement of mental health
  • We use the caseness method, each response is
    coded 0, and 1
  • Total 12 items end up with 0 to 12
  • A dichotomous variable is constructed with a
    threshold of 4
  • Individuals aged 16 to 64 are included in our
    study

17
Proportion of poor mental health by gender and
living arrangements
Source BHPS 1991-2003
18
Proportion of living alone by gender and age
Source BHPS 1991-2003
19
Modelling issues
  • Longitudinal data allow us to
  • Control unobserved heterogeneity
  • Ability to cope with stress
  • Childhood experience
  • Study transitions between different living
    arrangements

20
Modelling issues
  • Fixed effect logistic models for models of being
    alone
  • Logistic models for effects of transition into
    living alone (excluding never married or never
    cohabiting)
  • Control for age, household income, urban rural
    areas of residence, education, employment status,
    smoking, number of friends, and region of
    residence

21
Model 1 - Odds ratios by marital status
Men Women Married 1
1 Widowed 2.052 (1.142-3.688) 2.407
(1.682-3.446) Divorced 1.193
(0.912-1.561) 1.009 (0.834-1.222) Separated 3.28
1 (2.470-4.358) 1.913 (1.540-2.378) Never
Married 1.124 (0.934-1.353) 0.991 (0.835-1.175
) N 2460 3098 Observation 22307
27181 Log-likelihood -8239.5
-10798.2 plt0.05 plt0.01 95 confidence
intervals in bracket
22
Model 2 Odds ratio by living arrangements
  • Men Women
  • Living together 1 1
  • Living alone 1.229 (1.056-1.431) 1.053
    (0.900-1.231)
  • N 2460 3098
  • Observation 22307 27186
  • Log-likelihood -8274.9 -10829.2
  • plt0.05 plt0.01
  • 95 confidence intervals in bracket

23
Model 3 Odds ratios by marital status and living
arrangements
  • Men Women
  • Married 1 1
  • Widowed 2.438 (1.297-4.582) 2.497 (1.727-3.
    609)
  • Divorced 1.148 (0.839-1.569) 1.027 (0.845-1.
    249)
  • Separated 3.320 (2.397-4.600) 1.941 (1.558-
    2.418)
  • Never Married 1.172 (0.945-1.454) 1.006 (0.84
    5-1.199)
  • Living together 1 1
  • Living alone 0.924 (0.758-1.125) 0.930 (0.786
    -1.100)
  • N 2294 3098
  • Observation 20240 27181
  • Log-likelihood -7486.1 -10797.0
  • plt0.05 plt0.01
  • 95 confidence intervals in bracket

24
Model 4 Odds ratios by marital status and living
arrangements
  • Men Women
  • Married together 1 1
  • Married alone 1.434 (0.608-3.384) 0.610
    (0.270-1.379)
  • Widowed together 2.975 (1.092-8.100)
    2.645 (1.686-4.148)
  • Widowed alone 2.068 (1.026-4.168) 2.193
    (1.415-3.400)
  • Divorced together 1.444 (0.929-2.242) 1.063
    (0.862-1.311)
  • Divorced alone 0.978 (0.709-1.350) 0.858
    (0.623-1.181)
  • Separated together 4.281 (2.542-7.208)
    1.917 (1.505-2.443)
  • Separated alone 2.843 (2.024-3.993)
    1.847 (1.190-2.866)
  • Never married together 1.130 (0.905-1.412)
    0.981 (0.821-1.173)
  • Never married alone 1.142 (0.894-1.459)
    1.004 (0.789-1.279)
  • N 2295 3098
  • Observation 20244 27185
  • Log-likelihood -7485.7 -10797
  • plt0.05 plt0.01
  • 95 confidence intervals in bracket

25
Model 5 Odds ratios by transitions between living
arrangements
  • Men Women
  • Married together 1 1
  • Married to wid/div/sep 5.812 (3.596-9.392)
    4.525 (3.425-5.977)
  • together
  • Married to wid/div/sep 6.034 (4.155-8.763)
    7.881 (4.724-13.146)
  • alone
  • N 3474 3568
  • Observations 19268 18630
  • Log likelihood -6630.9 -8168.2
  • plt0.05 plt0.01
  • 95 confidence intervals in bracket

26
Proportion of people with poor mental health by
transition of living arrangements
Source BHPS 1991-2003
27
Conclusions
  • Being living alone tends to negatively affects
    mental status for men but not women
  • Being living alone does not have independent
    effects on mental health from marital status
  • Transition into living alone has strong effects
    on mental health and increases risks of mental
    disorders in short-term

28
Future studies
  • Better methodologies in tackling endogeneity
    using SEM modelling or 2SLS
  • Dynamic panel models taking account of state
    dependency
  • Increase sample size by incorporating more data
    from the latest waves
  • More analysis of duration effects

29
Acknowledgements
  • The BHPS data are made available through the UK
    Data Archive and were collected by the ESRC
    Research Centre on Micro-social Change at the
    University of Essex, now incorporated within
    Institute for Social Economic Research.
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