Medical psychology: Where psychology meets physiology - PowerPoint PPT Presentation

1 / 53
About This Presentation
Title:

Medical psychology: Where psychology meets physiology

Description:

M. Marmot: Status syndrome, Times Books,2004: British civic servants ... Marmot M : The social pattern of heath and disease In.Health and Social ... – PowerPoint PPT presentation

Number of Views:719
Avg rating:3.0/5.0
Slides: 54
Provided by: kop7
Category:

less

Transcript and Presenter's Notes

Title: Medical psychology: Where psychology meets physiology


1
Medical psychologyWhere psychology meets
physiology?
  • Psychosocial factors influencing health
  • September 5, 2006
  • Professor Maria Kopp,MD, PhD
  • Institute of Behavioural Sciences
  • www.behsci.sote.hu

2
CentralEastern European legacy
  • In the twentieth century, Hungarian born
    scientists, such as
  • Sándor Ferenczi,
  • Franz Alexander,
  • Hans Selye,
  • Michael Bálint,
  • significantly contributed to laying the
    foundations of psycho-social attitude in medicine

3
What is stress and how does it influence disease?
  • Stress theory Hans Selye- General adaptation
    syndrome
  • In widest sense in the process of
    interrelationship between person and his/her
    environment those situations which need new
    behavioural responses
  • Harmful or protective?

4
General adaptation Theory of János Selye
  • The three phases of stress
  • alarm reaction,
  • resistance phase and,
  • the third, physiologically most harmful phase,
    exhaustion- chronic stress!
  • Kopp MS, Réthelyi J Where psychology meets
    physiology chronic stress, morbidity and
    mortality,Brain Research Bulletin, 2004,
    62,351-367

5
Evolutionary model of stress
  • Stress responses act as triggers for the adaptive
    modification of the structure and the function of
    the brain.
  • Stress responses serve to adjust in the physical,
    emotional and personality development in a
    self-optimising manner,
  • in accordance with the ever-changing requirements
    of the external world.

6
Modern stress concept central importance of lack
of perceived control
  • Elements of stress
  • 1. An aversive stimulus event-
  • life events- stressors
  • change in routine
  • situations of monotony
  • 2. A specific physiological and psychological
    response- stress responses-
  • discrepancy between psycological and
    physiological responses

7
Person and environment
  • 3.Special type of transaction between the person
    and the environment
  • feelings of threat, harm or loss
  • For example low socio-economic status for men or
    women, consequently
  • mortality differences in middle aged population

8
Aggregate mortality according to low versus high
education(Mackenbach et al, 1999)
9
Status syndrome
  • M. Marmot Status syndrome, Times Books,2004
    British civic servants
  • In 1992-96 10 years difference between
  • the highest educational group- 78 years life
    expectancy and
  • the lowest - 68 years life expectancy 1.5-times
    higher myocardial infarct mortality after
    controling for smoking and alcohol consumption

10
Morbidity and mortality crisis in the
transforming societies
  • The morbidity and mortality crisis of the
    transforming Central and Eastern European
    countries is an extraordinary natural experiment
    to understand better the importance of
    psychosocial factors in health,
  • Because the existing explanatory models are not
    able to explain these rapid changes in the health
    status of these populations.

11
Characteristics of the Central-Eastern-European
(CEE) health paradox
  • In the 60-ies the mortality rates were better for
    example in Hungary than in some Western-European
    countries
  • In the last decades while mortality rates
    declined in Western Europe, in CEE countries this
    tendency reversed, especially among middle-aged
    men
  • Paradoxical features
  • The health status worsened during economic
    development
  • Why are middle aged men most vulnerable?
  • Why is the life expectancy relatively better
    after 65 years of age?

12
Characteristics of health crisis in Hungary
  • Since the late 1980s, the mortality rates among
    45-64 year old men in Hungary has risen to higher
    levels than they were in the 1930s,
  • Large gender difference in mortality rates.
  • Large regional differences in the 20 Hungarian
    counties and in the 150 subregions

13
Mortality rate in 1000 men in corresponding age
groups in the Hungarian population (Demographic
Yearbook, 2004)
14
Growing polarization of the socio-economic
situation between 1960 and 2002
  • Until 1960, practically no income inequality,
    there were no mortality differences between
    socio-economic strata.
  • Since that time increasing disparities in
    socio-economic conditions have been accompanied
    by a widening socio-economic gradient in
    mortality, especially among men.

15
Trends in the other CEE countries
  • Similar trends in Poland and in Czech Republic,
    but the improvement had started much earlier and
    it was more considerable,
  • Dramatic health crisis in Russia, Ukraine and in
    the Baltic countries
  • Common features health crisis among middle aged
    men

16
Life expectancy of men in 1965 and 1992
Marmot M The social pattern of heath and
disease In.Health and Social Organization, Edited
by D Blane, E Brunner, R Wilkinson
Michael
17
Life expectancy of women in 1965 and 1992
18
Mortality rates of middle aged (45-64) Hungarian
men and women in 2001
19
Special experimental model
  • The paradoxical features of premature mortality
    and morbidity in Central-Eastern-European
    countries might be regarded as
  • a special experimental model to understand the
    health consequences of sudden societal changes
  • that is those processes where psychology meets
    physiology, which is the central question of
    health psychology

20
What can explain the opposite changes in
East-West life expectancy?
  • In the 1970s no differences in Austrian and
    Hungarian life expectancy
  • Life expectancy in Hungary today
  • Male 68.2, female 76.5 years,
  • Life expectancy in neighbouring Austria
  • Male 75.9- they live 7.7 years longer,
  • Female 81.7- they live 5.2 years longer

21
Gender differences
  • Although men and women share the same
    socio-economic circumstances, there are
    significant gender differences in worsening
    mortality rates.
  • What is the explanation for the increased
    vulnerability of middle aged men during this
    period of rapid economic change?

22
Possible explanations
  • This deterioration cannot be ascribed to
    defficiencies in health care,because
  • during these years there was a significant
    decrease in infant and old age mortality and
    improvements in other dimensions of health care.
  • Between 1960 and 1989 there was a constant
    increase in the gross domestic product in
    Hungary. Worsening material situation cannot be
    the explanation

23
Paradox of old age mortality
  • Above 65 years the male life expectancy is
    similar to the Western patterns
  • What could be the explanation?
  • The influence of medical care is most important
    for the ageing population and around birth
  • In middle aged population the psychological
    factors would be fundamental in successful coping

24
National representative surveys in the Hungarian
population
  • The samples represent the Hungarian population
    above age 18 according to gender, age and county
  • Hungarostudy 1983 more than 6000 persons
  • Hungarostudy 1988 20.902 persons
  • Hungarostudy 1995 12.463 persons

25
Latest surveys Hungarostudy 2002 and follow up
in progress
  • 12,643 persons were interviewed in their homes,
    they represented the population above age 18
    according to age and sex and 150 subregions
  • The refusal rate was 17,7 for the full sample,
    although there were significant differences,
    depending on settlements
  • About 6.500 persons agreed to participate in a
    follow up study- now in progress

26
Socio-economic factors
  • Education,
  • Income,
  • Subjective socioeconomic status (Nancy Adler)
  • Acces to car
  • Employment
  • Marital status
  • Housing environment
  • Family environment
  • Childhood experiences
  • Self-rated socioeconomic changes

27
Hungarostudy indicators, health psychology
  • Shortened Beck Depression Score
  • WHO Wellbeing Questionnaire (Bech,1996)
  • Hostility score (Cook-Medley, 1954)
  • Self-efficacy score (Schwarzer, 1992)
  • Vital exhaustion score (Appels, 1988)
  • Type D Personality Questionnaire(Dennolet, 2000)
  • Hospital Anxiety Score
  • Hopelessness Score (Beck, 2000)

28
Further psychological indicators
  • Ways of coping (Folkman, Lazarus, 1980)
  • Purposes in Life(Crumbaugh, Maholick,1964)
  • Anomie score
  • TCI shortened cooperativeness and sensation
    seeking
  • Dysfunctional attitudes
  • (Weissman,1979)
  • Social support (Caldwell,1987)
  • Marital stress questionnaire
  • Stress and coping (Rahe,2002)
  • Meaning in life (Rahe,2002)
  • Life events

29
Social capital measures
  • Social capital defined as the assets and
    resources available to individuals through civic
    participation appears to be a potential
    determinant of population health status
  • Social trust
  • Reciprocity
  • Participation in civic organizations
  • Low anomie
  • Low competitiveness- rivalry
  • Chicago collective efficacy (Neighbourhood
    cohesion)
  • Religious involvement

30
Work stress variables
  • Job security
  • Control at work
  • Social support at work
  • Working hours per week days and weekend
  • Troubles with work as life event
  • Income as job related reward
  • Satisfaction with work situation
  • Satisfaction with boss
  • Unemployment

31
Health behaviour, lifestyle and other confounding
factors
  • Religious involvement
  • Suicidal behaviour
  • Womens health- factors related to pregnancy and
    birth
  • ethnical factors
  • Smoking
  • Alcohol (AUDIT)
  • Drug consumption
  • Physical activity
  • Body weight and height- BMI
  • Sleep complaints

32
Significance of chronic stress-depressive
symptomatology
  • Based on the data of our national representative
    surveys, we found that the worse socioeconomic
    situation is linked to higher morbidity and
    mortality rates in Hungary as well,
  • however, higher morbidity rates are connected to
    relatively poor socioeconomic situations mainly
    through the mediation of depressive symptoms,
  • in broader sense through chronic stress

33
Depressive symptomatology (BDI) severity
categories in the Hungarian population
34
(No Transcript)
35
Low income, depression and morbidity
  • In 1988 depression mediated between low income
    and self-rated morbidity among men,
  • while among women low income was not
    significantly connected neither to depression,
    nor with self reported morbidity.
  • In 1995 low income became directly connected to
    morbidity both in men and women,
  • but the mediating effect of depression between
    low income and morbidity remained more important
    among men than among women.

36
Why are men more susceptible to relative income
inequality?
  • 1.Income inequality is much higher among men.
  • 2. Men are more susceptible to loss of status
    than women. Animal experiments have shown males
    to be more sensitive than females to loss of
    dominance position, that is loss of position in
    hierarchy. In animal studies social rank is the
    best predictor of quality of life and health
    among males.

37
Depression and chronic stress
  • A self-destructive circle develops from the
    enduring relatively disadvantageous socioeconomic
    situation and depressive symptoms,
  • This circle resulting in chronic stress, might
    play a significant role in the increase of
    morbidity and mortality rates in the lower
    socioeconomic groups of the population.
  • Kopp MS, Réthelyi J (2004) Where psychology meets
    physiologychronic stress and premature
    mortality- the Central-Eastern-European health
    paradox, Brain Research Bulletin ,62,351-367.

38
Ecological level analysespositive psychology
determinants of mid-aged mortality
differencesbased onnational representative
survey data and national statistical mortality
data
  • For 20 counties and 150 subregions

39
Mortality rates of middle aged men and depression
scores in 2002
40
What is behind depression?
  • Depressive symptomatology is the best measure of
    chronic stress,
  • What is behind?

41
Determinants of middle aged mortality in the
150 Hungarian subregions
  • Socio-economic status (education and income),
    social capital (social distrust) and collective
    efficacy (neigborhood cohesion) explained a
    considerable part of the sub-regional variance
    in middle aged mortality rates,
  • Competitive attitude was a significant predictor
    of mortality only among men, while religious
    involvement was a significant protective factor
    only among women.
  • Skrabski Á, Kopp MS, Kawachi I (2004) Social
    capital and collective efficacy in
    Hungarycross-sectional associations with middle
    aged female and male mortality rates, J
    Epidemiology and Community Health ,30, 65-70.

42
Amos structural model for male mortality
(CFI0.99,CMIN/Df3.02)

43
Interaction between male and female health
  • It is an interesting finding that the most
    important social capital variables of the
    opposite sex seem to influence the mortality for
    the other sex
  • Civic support perceived by men is a protective
    factor for women, while the amount of reciprocity
    perceived by women seems to be a significant
    predictor of male health.
  • Skrabski ,Á, Kopp MS, Kawachi I.(2003) Social
    capital in a changing societycross sectional
    associations with middle aged female and male
    mortality rates, J Epidemiology and Community
    Health 57, 2, 114-119.

44
Which are the protective factors for women?
  • Relative economic deprivation, rival attitude and
    social distrust are all less important risk
    factors for women
  • The socio-economic differences are less important
    regarding the middle aged female mortality
    differences.
  • Neighborhood cohesion, religious involvement and
    reciprocity were not so much influenced by sudden
    socio-economic changes, therefore the protective
    network of women remained relatively unchanged.

45
Differences in cognitive appraisal of the given
situations
  • Gender differences- values, i.e lower education,
    income, unemployment
  • For example
  • The risk of male cardiovascular mortality (OR)
    associated with low education was 4.0233
    (CI3.7789-4.2835, p.000)
  • The risk of female cardiovascular mortality (OR)
    associated with low education was 1.6074
    (CI1.4720- 1.6074, p.000)

46
Gender paradox of subjective social status
  • Female subjective social status influenced highly
    significantly the male mid-aged mortality
  • r for female SSS and male mid-aged mortality
    was -.597 p.000
  • That is, the subjective evaluation of the
    relative social deprivation by women might be an
    important risk factor for men as well
  • Kopp MS, Skrabski Á, Kawachi I, Adler NE (2005)
    Low socioeconomic staus of the opposite gender is
    a risk factor for middle aged mortality, J.
    Epidemiology and Community Health 59,675-678.

47
Correlations of male and female social status and
male mid aged mortality
Korrelációs együtthatók, középkoró férfiak
halálozása
48
Extremes of appraisal
  • Extraverts- high risk activities
  • Anxiety- ! Subjective experience
  • of loss of control in an emotionally negative
    situation
  • Normal anxiety? Evolution- avoidance behaviour

49
Pathological anxiety
  • if certain situations unrealistically produce
    enduring alarm reaction
  • and the feeling of lack of control
  • Examples
  • agoraphobia
  • special anxieties (simple phobias)
  • panic disorder

50
Cognitive restructuring- basis of cognitive
behavioural therapies
  • Coping
  • emotional ways of coping
  • problem solving ways of coping
  • support seeking
  • Social support- protective, medical importance
  • - Hostility, Cynicism- risk factor

51
The importance of ways of coping and social
support
  • Both the behavioural patterns and the cognitive
    feedback are characteristic of the person's
    conflict solving ability, the so-called coping
    strategy.
  • It is obvious from the model that the
    non-adaptive conflict solving strategies play an
    important role in resulting chronic stress
    situation and causing and maintaining physical
    symptoms and illnesses of psychological origin
  • The importance of social support.

52
The importance of positive psychology
  • Learned resourcefulness (Mihály
    CsikszentmihályiFlow)
  • The experience of the controllability of stress
    situations
  • The ability to deal successfully with stressors
    strengthens the self-esteem, self-efficacy and
    the problem solving, coping skills of the person.

53
References
  • Kopp MS, Réthelyi J (2004) Where psychology meets
    physiologychronic stress and premature
    mortality- the Central-Eastern-European health
    paradox, Brain Research Bulletin ,62,351-367.
  • Kopp MS, Skrabski Á, Réthelyi J, Kawachi I, Adler
    N (2004) Self Rated Health, Subjective Social
    Status and Middle- Aged Mortality in a Changing
    Society, Behavioral Medicine,30, 65-70.
  • Kopp MS (interview) (2000) Stress The invisible
    Hand in Eastern Europe s Death Rates, Science,
    288, 9.June 2000, 1732-1733.
  • Kopp MS, Skrabski Á, Szedmák S (2000)
    Psychosocial risk factors, inequality and
    self-rated morbidity in a changing society,
    Social Sciences and Medicine 51, 1350-1361.
  • Skrabski,Á.Kopp MS, Rózsa S, Réthelyi J, Rahe RH
    (2005)Life meaning an important correlate of
    health int he Hungarian population, International
    Journal of Behavioral Medicine, 12,2, 78-85.
  • Kopp MS, Skrabski Á, Kawachi I, Adler NE (2005)
    Low socioeconomic staus of the opposite gender is
    a risk factor for middle aged mortality, J.
    Epidemiology and Community Health, 59,675-678.
  • Kopp,M., Skrabski, Á., Szántó, Zs., Siegrist,
    J. Psychosocial determinants of premature
    cardiovascular mortality differences within
    Hungary, J ournal of Epidemiology Community
    Health (in press)
Write a Comment
User Comments (0)
About PowerShow.com