The study's aim is to describe and analyze the living conditions of older people in Sweden, including health, care and social services, financial situation, housing, occupational activities, family situation, leisure activities, and engagement in society in general.

General Design

Study Design Cross-sectional
Recruitment Target
  • Individuals
Number of Participants

(No Limit)

Supplementary Information about Number of Participants

The number of participants are dependent on how many persons from the LNU sample has survived to old age. In 2011, the SWEOLD sample was complemented by an additional representative sample of the Swedish population aged 85–99. This additional sample allows for more detailed analyses in smaller age and sex subgroups for those over 85 years of age.

Supplementary Information

The SWEOLD sample was initially designed based on an existing nationally representative sample of the total adult population in Sweden – the Swedish Level of Living Survey (LNU). SWEOLD comprises those persons previously included in the LNU sample who have passed the LNU’s upper age limit of 75 years (in 1992, 2002, and 2011) or 69 years old (in 2004 and 2014), and are still living in Sweden at the time of the survey waves, with the exception of the first survey wave that was restricted to persons who had previously been interviewed at least once in any of the previous LNU surveys. The data waves represent sequential, repeated, cross-sectional surveys.

Access

Yes
No
Not Applicable
Don't Know
Possible Access to Data

Possible Access to Biosamples

Other

Marker Paper

Lennartsson, C., Agahi, N., Hols-Salén, L., Kelfve, S., Kåreholt, I., Lundberg, O., Parker, M., & Thorslund, M. (2014). Data resource profile: the Swedish Panel Study of living conditions of the oldest old (SWEOLD). International Journal of Epidemiology, 43(3), 731-738.

PUBMED 24651397

Study Timeline

Each colour in the timeline graph below represents a separate Study Population, while each segment in the graph represents a separate Data Collection Event. Clicking on a segment gives more detailed information on a Data Collection Event.

Population

SWEOLD - Population

The population consists of individuals who were sampled in the Swedish Level of Living Survey (LNU) and who have passed the LNU's upper age limit of 75 years (in 1992, 2002, and 2011) or 69 years old (in 2004 and 2014), and still living in Sweden at the time of the survey.

Sources of Recruitment

General Population
  • Selected sample
Participants from Existing Studies Swedish Level of Living Surveys (LNU)
Supplementary Information SWEOLD participants were identified through the Swedish Level of Living Survey (LNU), a random sample of 1/1000 of the Swedish population aged 15 (in 1991, the lower age limit was raised to 18 years, and in 2000 to 19 years) to 75 years. A random sample of young people and immigrants is continuously added to the original LNU sample to get a representative sample of the total population aged between 15 (or 18/19) and 75 years. The sample is obtained using the identification numbers issued to all Swedish residents by the state. SWEOLD participants are LNU-sampled individuals having passed the age of 75 years old (in 1992, 2002, and 2011) or 69 years old (in 2004 and 2014).

Selection Criteria

Age Minimum age 69
Country Sweden

Sample Size

Number of Participants

(No Limit)

Supplementary Information about Number of Participants

Survey 1992: 537 participants
Survey 2002: 621 participants
Survey 2004: 1180 partcipants
Survey 2011: 931 participants
Survey 2014: 1297 participants

Data Collection Events

NameDescriptionStartEnd
SWEOLD - Survey 1992

The interviews were carried out in the...

1992 (January)1992 (April)
SWEOLD - Survey 2002

The interviews were carried out in the...

2002 (August)2003 (March)
SWEOLD - Survey 2004

The interviews were carried out in the...

2004 (November)2005 (April)
SWEOLD - Survey 2011

The interviews were carried out in the...

2010 (October)2011 (September)
SWEOLD - Survey 2014

The interviews were carried out in the...

2014 (September)2015 (August)
Loading...
Loading...

Variables classifications