Title: Risk and protective factors for mortality in a 35year follow up of 50,000 young men
1Risk 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
2Research 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?
3Material 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
4Outcome and analysis
- All-cause mortality 1970-2004 (n2, 671)
- 1970-1987 (n868)
- 1988-2004 (n1803)
- Myocardial infarction (n137)
- Alcohol-related (alcohol diagnoses) (n215)
5Causes 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
6Total mortality 1969-2004, multivariate Cox
regression. Statist. significant variables (HR)
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7Mortality 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.
8Does alcohol protect from fatal myocardial
infarction? Bivariate analysis (HR)
9Fatal myocardal infarction multivariate Cox
regression, HR 95 CI
10Alcohol-related death bivariate Cox regression,
HR 95 CI
11Summary
- 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)
12Global 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).
13EU-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).
14Other 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.
15Independent 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
16Alcohol-related death (n215) multivariate Cox
regression, HR 95 CI
17Sweden
- 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
18Total mortality 1969-2004, multivariate Cox
regression. Statist. significant variables (HR)
19Does alcohol protect from fatal myocardial
infarction? Bivariate analysis (HR)
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