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Risk and protective factors for mortality in a 35year follow up of 50,000 young men

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Anders Romelsj , professor of alcohol-and drug research, SoRAD, Stockholms ... limitation of outlets, home alcohol policy) and secondary prevention in health ... – PowerPoint PPT presentation

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Title: Risk and protective factors for mortality in a 35year follow up of 50,000 young men


1
Risk and protective factors for mortality in a
35-year follow up of 50,000 young men
  • Anders Romelsjö, professor of alcohol-and drug
    research, SoRAD, Stockholms universitet
    affiliated professor, Department of Public Health
    Sciences,Karolinska Institutet
  • Ingrid Davstad, PhD Student
  • Marlene Stenbacka, associate professor
  • Anders Leifman, statistician

2
Research questions
  • Does the impact of early social and behavioural
    factors on mortality decline over time?
  • Does moderate alcohol use reduce the risk of
    fatal myocardial infarction?

3
Material and methods
  • 49,411 men aged 18-20 years, took part in
    mandatory conscription 1.7 1969-30.6 1970
  • Data from questionnaire, health examination and
    psychological assessment at conscription linked
    to register data on mortality (and inpatient
    care) 1970-2004.
  • Bivariate and multivariate Cox regression
    analyses were done

4
Outcome and analysis
  • All-cause mortality 1970-2004 (n2, 671)
  • 1970-1987 (n868)
  • 1988-2004 (n1803)
  • Myocardial infarction (n137)
  • Alcohol-related (alcohol diagnoses) (n215)

5
Causes of death (n2,671). A majority avoidable?
  • Injuries 455 18
  • Suicide 443 17
  • Suicide, undetermined 106 4
  • Alcohol 215 8
  • Drugs 49 2
  • Liver cirrhosis 87 3
  • Tumours 540 21
  • Circulatory 416 16

6
Total mortality 1969-2004, multivariate Cox
regression. Statist. significant variables (HR)
13 november 2009
Namn Efternamn
6
7
Mortality 1969-87 1988-2004, multivariate Cox
regression.
  • About the same variables predicted death during
    1969-1987 (n868) and 1988-2004 (n1,803), with
    about the same HR
  • Thus, factors at young age (18-20 years) have a
    long-lasting impact on mortaility, in spite of
    possible positive changes in habits, which reduce
    increased HR
  • These wereAlcohol use gt280 grams/week (4 bottles
    of wine)
  • BMI gt30 (gt25 1988-2004) Smoking
  • Run away from home Truancy Lowest IQ-quartile
  • NOT drug use, poor health, social class, divorced
    parents, good emotional control, good social
    maturity.

8
Does alcohol protect from fatal myocardial
infarction? Bivariate analysis (HR)
9
Fatal myocardal infarction multivariate Cox
regression, HR 95 CI
10
Alcohol-related death bivariate Cox regression,
HR 95 CI
11
Summary
  • Early social and behavioural factors (incl. low
    social class, smoking, hazardous alcohol use,
    overweight, drug use) predict death also late in
    life among men.
  • No protective effect of alcohol for death or
    myocardial infarction death up to the age of 55
    years
  • The majority of deaths are potentially avoidable,
    related to life-style, social and behavioural
    factors.
  • Limitation No information about changes in
    habits.
  • Causal pathways (Fathers social class)
  • Prevention early in life (alcohol, obesity,
    behaviour, IQ etc)

12
Global burden of disease
  • Alcohol causes 3.2 of 55 million deaths/year and
    4 (58 million) DALYs year 2000 1.5 and 3.5 in
    year 1990. Higher figures for Europe (Rehm et al,
    WHO, 2004)
  • Reduction of alcohol-related problem is possible,
    mainly with restrictive availability policy (high
    taxes, limitation of outlets, home alcohol
    policy) and secondary prevention in health care)
    (Babor et al, WHO, 2003).

13
EU-perspective
  • 55 million heavy users (gt40 grams/day for men and
    20 grams for women
  • 195.000 alcohol-related deathsl
  • More than 25 of fatal trafic accidents are
    alcohol-related (about 10.000/year)
  • More than 25 of all deaths among young men are
    and 10 among young women are alcohol-related
    (injuries, suicide, homicide, 60 diseses)
  • Alcohol is the third most important life style
    factors for mortality and morbidity, after after
    tobacco and high blood pressure
  • Turkey has increased alcohol consumption with 20
    from year 2007 to 2008 (News 29 April, 2009).

14
Other studies
  • Drug use and mortality risk Other studies are on
    selected clinical samples
  • Predictors of positive social outcome
    (occupation, own income, education level and
    family situation 1990-2006) among those with
    certain risk factors (drug use, high alcohol
    consumption, deviant behaviour, poor social
    background etc.) Based on individual linkage
    with a register with these variables
  • Cumulative risk size with number of risk, and
    protective factors, and their interaction.

15
Independent variables, ages 18-20 years
  • RISK FACTORS
  • Alcohol (0, (reference), 0.1-168 g 100
    alc/week, 168-280,280)
  • Narcotic use (yes/no)
  • Smoking (0,(reference),1-10 cig/day,11/day
  • Body mass index (lt18.5, 18,5-25 (reference),
    25-30,gt30)
  • Self-reported health (rather poor vs. good)
  • Fathers social class (working class vs. others)
  • Divorced parents (yes/no)
  • Truancy ever
  • Run away from home
  • Low IQ (lowest quartile
  • PROTECTIVE FACTORS
  • Emotional control (good versus others)
  • Social maturity

16
Alcohol-related death (n215) multivariate Cox
regression, HR 95 CI
17
Sweden
  • Northern Europe, nation since about 1000 years
  • Member of EU since 1995 (firm supporter of Turkey
    membership)
  • Population 9 million people
  • Population density about 20
  • Public elections since 1922
  • Market economy and social welfare, high living
    standard, cheap public health care and public
    reimbursement when sick, unemployed, poor. High
    taxes
  • Two political blocks Social democrats (market
    economymore social welfare) vs more right wing
    parties ( less
  • Unemployment 8.3

18
Total mortality 1969-2004, multivariate Cox
regression. Statist. significant variables (HR)
19
Does alcohol protect from fatal myocardial
infarction? Bivariate analysis (HR)
13 november 2009
Namn Efternamn
19
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