This page last changed on 19.01.2015 by ttuv.

Link to Northern Sweden - other cohorts and data sources


Contact person(s) for the cohort description

Sture Eriksson

Partner

Institute

Department of Psychology, Umeå University

Key personnel for CHANCES

Responsible person: Lars Nyberg

Other Key personnel: Lars-Göran Nilsson, Department of Psychology, Stockholm

Definition of the cohort

Target population

Random sample from Västerbotten population

Recruitment

Invited after random selection stratified by age (35, 40, 45, 50, 55, 60, 65, 70, 75 and 80 years of age).
During five repeated assessments, conducted in 5-year intervals, previously assessed persons are reinvited (about 85% reassessed) and new stratified random persons are invited in order be able to assess for example effects of year of birth. An overview can be found at: http://www.betula.su.se/en/forskning/syfte_design.html.

Years of recruitment

1988-90, 1993-95, 1998-2000, 2003-05, 2008-10

Size of the cohort

More than 4200 persons

Examination   Age Nr Questionnaire, diet Questionnaire, lifestyle Questionnaire, cognitive function Incidence major diseases Cause specific mortality
Year                
1998-1990 Baseline (T1) 35-80 1000 x 3 + 1163 No Yes Yes
Yes
Yes
1993-1995 5-year FU (T2) 45-85 862 No
Yes
Yes
Yes
Yes
1998-2000 10-year FU (T3) 45-90 1428 No
Yes
Yes
Yes
Yes
2003-2005 15-year FU (T4) 50-95 1048 No
Yes
Yes
Yes
Yes
2008-2010 20-years FU (T5) 55-100 704 No
Yes
Yes
Yes
Yes

Recontacts

See "Recruitment" above.

Measurements at baseline and recontacts

Demographic and socio-economic background baseline data, partly via ALC .

Socioeconomic  
Education Yes
Income Yes
Marital status Yes
Occupation Yes
Employment status Yes
History of  
Diabetes  
Dyslipidemia  
Coronary heart disease  
Stroke  
Cancer  
Benign neoplasms  
Fracture  
  - Which site(s)?  
Osteoporosis  
Family history of  
Coronary heart disease  
Stroke  
Diabetes  
Cancer  
Lifestyle  
Current smoking Yes
Past smoking Yes
Alcohol use Yes
Physical activity Yes
Nutrition (yes/no)  
  - Number of food items available (approximately)  
  - Method(s) of dietary assessment (e.g. 24h-recall, food frequency questionnaire, dietary records)  
  - Supplement use  
Anthropometry  
Weight and height  
  - Measured or self-reported  
Unintended weight loss  
Waist circumference  
  - Measured or self-reported  
Hip circumference  
Measured or self-reported  
Blood pressure  
Measured blood pressure  
History of hypertension  
Blood tests  
Total cholesterol  
HDL cholesterol  
Triglycerides  
  - Fasting period  
ApoA1  
ApoB  
Glucose  
  - Fasting period  
Glucose tolerance test  
HbA1c  
GGT  
CRP  
25-Hydroxy-Vitamin D  
Other tests (specify)  
Availability of frozen sera for further analysis Yes
  - Storage temperature (°C) of sera -80
Availability of frozen plasma for further analysis Yes
  - Storage temperature (°C) of plasma  
Genetics  
Genotypic data  
GWAS (specify)  
Other high-throughput array data (specify)  
Availability of DNA for further genotyping  
Plated DNA  
Otherwise stored DNA  
Other measurements  
Perceived health Yes
Cognitive decline/dementia Yes
Depression Yes
Grip Strength Yes
Lung function  
Audiometry Yes
Measurement of bone density (DEXA)  
Quality of life instruments (such as SF-12, EUROQoL)  
Limitations in ADL/IADL (i.e. Activities of daily living/Instrumental activities of daily living)  
Multimorbidity instruments (such as CIRS-G)  
Frailty scales  
Reproductive history (for women)  
Menstruation and menopausal status  
Fertility problems  
Pregnancies  
Breast feeding  
Hysterectomy and ovariectomy  
History of oral contraceptive use  
History of menopausal hormones use  
Current use of exogenous hormones  
Use of drugs  
Availability of classification of drugs, specify (e.g. Anatomical Therapeutic Chemical(ATC) classification system)  
Additional Topics  
  Teeth status
  Health care used
  Repeated detailed cognition tests (extensive neuropsychological assessement)

Other follow-up

Follow-up period

Sources of data

Self-reported health, extensive neuropsychological assessment, other extensive data via ALC .

Follow-up procedure

Old and new cohorts

End-points covered through the follow-up

  • All deaths: Via ALC end death registry if necessary
  • Non-fatal cancers: no
    • Cancer survival: no
  • Non-fatal acute coronary events: no
  • Non-fatal stroke: no
  • Non-fatal diabetes: no
  • Fractures: no
  • Cognitive impairment/dementia: yes, including incident dementia
  • Nursing home admission: no

ICD-version used for classification of diseases in the data

References

Mousavi-Nasab, S.-M. H., Kormi-Nouri, R., Sundström, A., & Nilsson, L.-G. (2012) The effects of marital status on episodic and semantic memory in healthy middle-aged and old individuals. Scandinavian Journal of Psychology, 53, 1-8_._ DOI: 10.1111/j.1467-9450.2011.00926.x

Wikgren, M., Karlsson, T., Nilbrink, T., Nordfjäll, K., Hultdin, J., Sleegers, K., Van Broeckhoven, C., Nyberg, L., Roos, G., Nilsson, L.-G., Adolfsson, R., & Norrback, K.-F. (2012). APOE e4 is associated with longer telomeres, and longer telomeres among e4 carriers predicts worse episodic memory. Neurobiology of Aging, 33,335-344_._ DOI: 10.1016/j.neurobiolaging.2010.03.004.

Wikgren, M., Maripuu, M., Karlsson, T., Nordfjäll, K., Bergdahl, J., Hultdin, J., Del-Favero, J., Roos, G., Nilsson, L.-G., Adolfsson, R., & Norrback, K.-F. (2012). Short telomeres in depression and the general population are associated with hypocortisolemic state. Biological Psychiatry, 71, 294-300_._ DOI: 10.1016/j.biopsych.2011.09.015.

Wikgren, M., Karlsson, T., Lind, J., Nilbrink, T., Hultdin, J., Sleegers, K., Van Broeckhoven, C., Roos, G., Nilsson, L.-G., Nyberg, L., Adolfsson, R., & Norrback, K.-F. (2011). Longer leukocyte telomere length is associated with smaller hippocampal volume among non-demented APOE e3/e3 subjects. Plos One, 7. Article Number e34292. DOI: 10.1371/journal.pone.0034292.

Salami, A., Eriksson, J., Nyberg, L., & Nilsson, L.-G. (2012). Age-related white matter microsctructural differences are not major mediators of cognitive decline in aging. Biochemica et Biophysica Acta-Molecular Basis of Disease, 1822, 408-415. DOI: 10.1016/jbbadis.2011.09.001_._

Persson, J., Pudas, S., Lind, J., Kauppi, K., Nilsson, L.-G., & Nyberg, L. (2012). Longitudinal structure-function correlates in elderly reveal MTL dysfunction with cognitive decline. Cerebral Cortex, 22, 2297-2304_._ DOI: 10.1093/cercor/bhr306.

Vestergren, P., Rönnlund, M., Nyberg, L., & Nilsson, L.-G. (2012). Multigroup factor analysis of the Cognitive Dysfunction Questionnaire: Instrument refinement and measurement invariance across age and sex. Scandinavian Journal of Psychology, 53, 390-400. DOI: 10. 1111/J.1467-9450.2012.00970.x.

Josefsson, M., de Luna, X., Pudas, S., Nilsson, L.-G., Nyberg, L. (2012). Genetic and lifestyle predictors of 15-year longitudinal change in episodic memory. Journal of American Geriatric Society (JAGS), 60, 2308-2312.

Rönnlund, M., Sundström, A., Eriksson, D., & Nilsson, L.-G. (2013). Effects of perceived long-term stress on subjective and objective aspect of memory and cognitive functioning in a middle-aged population-based sample. Journal of Genetic Psychology, 174, 25-41. DOI: 10.1080/00221325.2011.635725

Rönnlund, M., Carlstedt, B., Blomstedt, Y., Nilsson, L.-G., & Weinehall, L. (2013). Secular trends in cognitive performance: Swedish conscript data 1970-1993. Intelligence, 41, 19-24. DOI: 10.1016/J.intell.2012.10.001

Andreasson, A. N., Szulkin, R., Undén, A.-L., von Essen, J., Nilsson, L.-G., & Lekander, M. (2013). Inflammation and positive affect related to subjective health: Women from the general population. Journal of Health Psychology, 18, 311-320_._ DOI: 10.1177/1359105311435428

Kauppi, K., Nilsson, L.-G., Adolfsson, R., Lundquist, A., Eriksson, E., & Nyberg, L. (2013). Decreased medial temporal lobe activation in BDNF 66Met allele carriers during memory encoding. Neuropsychologia, 51, 2462-2468_._ http://dx.doi.org/10.1016/j.neuropsychologia.2012.11.028

Pudas, S., Persson, J., Josefsson, M., Nilsson, L.-G., Nyberg, L. (2013). Brain characteristics of individuals resisting age-related cognitive decline over two decades. Journal of Neuroscience, 33, 8668-8677_._ DOI: 10.1523/JNEUROSCI.2900-12.2013

Eriksson Sörman, D., Sundström, A., Rönnlund, M., Adolfsson, R., & Nilsson, L.G. (2014). Leisure activity in old age and risk of dementia: a 15-year prospective study. Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, DOI:10.1093/geronb/gbt056

Körning-Ljungberg, J., Hansson, P., Pilar, A., Josefsson, M., & Nilsson, L.-G. (2014). A longitudinal study of memory advantages in bilinguals. PlosONE. DOI: 10.137/journal.pone.0073029

Nyberg, L., Andersson, M., Kauppi, K., Lundquist, A., Persson, J., Pudas, S., & Nilsson, L.-G. (2014). Age-related and genetic modulation of frontal-cortex efficiency. Journal of Cognitive Neuroscience.  DOI: 10.1162/jocn_a_00521

Wikgren, M., Karlsson, T., Söderlund, H., Nordin, A., Roos, G., Nilsson, L.-G., Adolfsson, R., & Norrback, K.-F. (2014). Shorter telomere length is linked to brain atrophy and white matter hyperintensities. Age and Ageing, in press.

Kauppi, K., Nilsson, L.-G., Persson, J., & Nyberg, L. (2014). Additive genetic effects of APOE and BDNF on hippocampus activity. NeuroImage, in press.

Pudas, S., Persson, J., Nilsson, L.-G., & Nyberg, L. (2014). Midlife memory ability accounts for brain activity differences in healthy aging. Neurobiology of Aging.

Stanciu, I., Larsson, M., Nordin, S., Adolfsson, R., Nilsson, L.-G., & Olofsson, J.K. (2014). Olfactory impairment and subjective olfactory complaints independently predict conversion to dementia: A longitudinal population-based study. Journal of the Neuropsychological Society (JINS), in press.

Sundström, A., Westerlund, O., Mousavi-Nasab, H., Adolfsson, R., & Nilsson, L.-G. (2014). The relationship between marital and parental status and the risk of dementia. International Psychogeriatrics. DOI: 10.1017/S 104 16 10213002652

Document generated by Confluence on 26.02.2015 18:14