The LSH study Lifeconditions, Stress and Health

This study is part of the collection Swedish Cohort Consortium (Cohorts.se)

Creator/Principal investigator(s):

Margareta Kristenson - Linköping University, Department of Medical and Health Sciences

Description:

Also the welfare state of Sweden has prominent socioeconomic (SES) differences in health. These are seen for most measures of SES, i e for education, occupation and income, and also for most health outcomes: for all-cause mortality, for morbidity in most diseases and for self-rated health. SES differences are, in particular, evident for coronary heart disease (CHD) with a two-fold difference in incidence and death between high and low SES groups. Causes for this are not clear. It is well known that an unhealthy lifestyle is more common in low SES but this can only explain a part of observed SES differences.

One possible explanation is effects of psychosocial factors. High levels of psychosocial risk factors and low availability of psychosocial resources are well documented predictors of CHD and more common in low SES. We and others have demonstrated that these factors are related to poor function of the HPA axis with reduced cortisol reactivity and with higher levels of markers for inflammation and plaque vulnerability, which also are known predictors of CHD.

The overall objective of the r

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Subject area:

HEALTH (CESSDA Topic Classification)
Medical and Health Sciences (The Swedish standard of fields of research 2011)

Keywords:

Socioeconomic Factors, Inflammation, Cohorts.se, stress, psychosocial factors, psychological resources

Principal organisation:

Linköping University

Accessibility status:

Access to data through an external actor
Access to data is restricted

Homepage:

The study homepage

Responsible department/unit:

Creator/Principal investigator(s):

Margareta Kristenson - Linköping University, Department of Medical and Health Sciences

Identifiers:

SND-ID: EXT 0256

Purpose:

The overall objective of the research program is to analyse, in a prospective design, to what extent socioeconomic differences in Coronary Heart Disease (CHD) incidence and death can be explained by psychosocial factors, especially psychological resources, and if observed effects are mediated by biological markers of stress, inflammation and plaque vulnerability.

Description:

Also the welfare state of Sweden has prominent socioeconomic (SES) differences in health. These are seen for most measures of SES, i e for education, occupation and income, and also for most health outcomes: for all-cause mortality, for morbidity in most diseases and for self-rated health. SES differences are, in particular, evident for coronary heart disease (CHD) with a two-fold difference in incidence and death between high and low SES groups. Causes for this are not clear. It is well known that an unhealthy lifestyle is more common in low SES but this can only explain a part of observed SES differences.

One possible explanation is effects of psychosocial factors. High levels of psychosocial risk factors and low availability of psychosocial resources are well documented predictors of CHD and more common in low SES. We and others have demonstrated that these factors are related to poor function of the HPA axis with reduced cortisol reactivity and with higher levels of markers for inflammation and plaque vulnerability, which also are known predictors of CHD.

The overall objective of the r

... Show more..

Time period(s) investigated:

2003-09-30 — 2004-03-03

2012-08-21 — 2015-12-31

Geographic spread:

Geographic location: Sweden, Jönköping County, Östergötland County

Unit of analysis:

Time Method:

Sampling procedure:

Probability
Random samples from the normal population.

Data contains personal data:

Yes

Ethics Review:

Linköping —02-324 and 2012/8031

Biobank is connected to the study:

Yes

Subject area:

HEALTH (CESSDA Topic Classification)
Medical and Health Sciences (The Swedish standard of fields of research 2011)

Keywords:

Socioeconomic Factors, Inflammation, Cohorts.se, stress, psychosocial factors, psychological resources

Contact person for questions about the data:

Margareta Kristenson

Is part of collection at SND:

Swedish Cohort Consortium (Cohorts.se)

Available documentation:

Study design study populations and timeline (English)

Download metadata:

Dataset EXT 0256-001

The LSH- study Life condition Stress and Health: Cohort 1

Description:

Cohort 1: Data collection is conducted in collaboration with 10 Primary Health Care centers (PHCs) in Östergötland county council and sampling was done from the normal population of the catchment area for each PHC. The study is build on a comprehensive design with broad questionnaires on SES, psychosocial risk factors, psychological resources, lifestyle and present disease, anthropometrics, saliva and blood samples.

Data format / data structure:

Numeric

Data collection:

Mode of collection: Self-administered questionnaire

Time period(s) for data collection: 2003-09-30 — 2004-03-03

Data collector: Linköping University, Department of Medical and Health Sciences

Source of the data: Population group

Mode of collection: Measurements and tests

Time period(s) for data collection: 2003-09-30 — 2004-03-03

Data collector: Linköping University, Department of Medical and Health Sciences

Source of the data: Population group

Number of individuals/objects:

1007

Dataset EXT 0256-002

The LSH- study Life condition Stress and Health: Cohort 2

Description:

Cohort 2: Data collection is conducted in collaboration with 27 PHCs in Östergötland and 19 PHCs in Jönköping county council. The same methods are used for collecting data, as described for cohort 1.

Data format / data structure:

Numeric

Data collection:

Mode of collection: Self-administered questionnaire

Time period(s) for data collection: 2012-08-21 — 2015-12-31

Data collector: Linköping University, Department of Medical and Health Sciences

Source of the data: Population group

Mode of collection: Measurements and tests

Time period(s) for data collection: 2012-08-21 — 2015-12-31

Data collector: Linköping University, Department of Medical and Health Sciences

Source of the data: Population group

Number of individuals/objects:

7051