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| ID | Type | Description | Link |
|---|---|---|---|
| FP7/2007-2013- 316795 | Other Grant/Funding Number | European Commission | |
| ACI2009-1010 | Other Grant/Funding Number | Spanish Ministry of Science and Innovation | |
| PS09/00295 | Other Grant/Funding Number | Carlos III Health Institute | |
| PS09/01845 | Other Grant/Funding Number | Carlos III Health Institute | |
| PI12/01490 | Other Grant/Funding Number | Carlos III Health Institute | |
| PI13/00059 | Other Grant/Funding Number | Carlos III Health Institute | |
| PI16/01073 | Other Grant/Funding Number | Carlos III Health Institute | |
| PI16/00812 | Other Grant/Funding Number | Carlos III Health Institute | |
| PI19/00088 | Other Grant/Funding Number | Carlos III Health Institute | |
| PI19/00103 | Other Grant/Funding Number | Carlos III Health Institute | |
| PI19/00150 | Other Grant/Funding Number | Carlos III Health Institute | |
| PI19/00235 | Other Grant/Funding Number | Carlos III Health Institute | |
| PI22/00309 | Other Grant/Funding Number | Carlos III Health Institute | |
| PI22/00340 | Other Grant/Funding Number | Carlos III Health Institute | |
| PI22/00374 | Other Grant/Funding Number | Carlos III Health Institute | |
| PI22/00375 | Other Grant/Funding Number | Carlos III Health Institute |
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| Name | Class |
|---|---|
| Fundació Sant Joan de Déu | OTHER |
| Universidad Autonoma de Madrid | OTHER |
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Age with Health is a longitudinal cohort study aimed to examine trajectories of health, disability and wellbeing and their determinants for Spanish ageing population. The data that makes up the baseline was collected from a nationally representative sample of non-institutionalized adults as part of the "Collaborative Research on Aging in Europe (COURAGE in Europe)" project between July 2011 and May 2012. The second wave was carried out as part of the "Age with Health" project between December 2014 and June 2015, and three years later, in 2018, the third wave was carried out. In 2019-2021, a new cohort of participants were brought in (2019 cohort), some of whom were interviewed again by telephone during the first Coronavirus (COVID-19) lockdown, in early 2020. During 2022 a new evaluation of the participants of both cohorts (2011 and 2019) is expected.
Study Design:
A prospective cohort general population study.
Sample:
Wave 1: A nationally representative sample of non-institutionalized adults aged 18 years or older from the Spanish population was collected (with an over-sampling of people aged 50+ years). A multi-stage clustered design was employed; four strata based on the number of inhabitants of the municipalities were built for each of the 17 Spanish autonomous communities. Clusters were selected within the strata with a probability of inclusion relative to their size. Within each cluster, households were randomly selected from a list of all households. In case there was more than one individual from the corresponding age group in the household, a random method was employed to select the individual participant.
Wave 2: Wave 1 sample was re-interviewed (Wave 2) in 2014-2015.
Wave 3: in 2018, participants were again evaluated. Complementarily, between 2019 and 2021 a new sample from the regions of Madrid and Barcelona were brought in, and it was interviewed again by telephone during the first COVID-19 lockdown, in May-June 2020.
Wave 4: a new evaluation of the participants of both cohorts 2011 and 2019 was carried out, in the fist case it terminated in 2022, while the data collection for 2019 cohort is still going on, expected to terminate for December 2023.
Wave 5: a new and last evaluation is expected for both cohort in 2025.
Data collection:
Face-to-face interviews by Computer-Assisted Personal Interviewing at the respondents' homes by trained interviewers. All interviewers received a standardized training. Data quality control was also performed. A proxy interview was administered in those cases in which the participant presents physical or cognitive limitations that may impede the correct administration of the individual interview.
Main project objectives:
To assess trajectories of general health, disability and well-being in Spanish ageing population.
Secondary objectives:
To identify trajectories of healthy ageing (in terms of physical health, mental health, functioning and well-being) in Spanish adult population as well as their determinants To analyse prevalence and impact of chronic health conditions, mental health problems, well-being and loneliness on mortality in Spanish adult population.
To determine risk factors for incidence and persistence of mental and physical health problems in Spanish ageing population.
Main project hypotheses:
The trajectories of health, functioning and well-being will be encompassed by relevant environmental factors such as social support, loneliness and health care utilization, personal factors (socio-demographic characteristics, healthy lifestyles, and high cognitive reserve among others) and other biological and health-related factors (weight, height, waist circumference, executive functions, blood pressure, grip strength, vision acuity, presence of mental and physical health problems and quality of life).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Cohort 2011 | A nationally representative sample of 4753 non-institutionalized adults aged 18 years or older from the Spanish population was collected (with an over-sampling of people aged 50+ years). A multi-stage clustered design was employed. A total of 2528 individuals were re-interviewed in 2014. In 2018, 1577 were again evaluated. Finally, in 2022, 963 participants took part of another study's evaluation. | ||
| Cohort 2019 | 3002 participants from the regions of Madrid and Barcelona were brought in between 2019 and 2021. They are now under a second evaluation (2023). In 2020, during the first Coronavirus (COVID-19) lockdown, 1166 of the participants from the first wave of the cohort was telephonically interviewed, a lateral sub-study evaluation. |
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| Measure | Description | Time Frame |
|---|---|---|
| Heath Status | Measure: Health composite total score. Construct: Health status. Final result: A global total score. Range: 0-100. 0 means lower health status. | Baseline |
| Disability | Measure: World Health Organization's Disability Assessment Schedule-II (WHODAS-II). Construct: Disability. Final result: A global total score. Range: 0-100. 0 means lower disability | Baseline |
| Experienced Well-being | Abbreviated Version of the Day Reconstruction Method. Construct: Experienced wellbeing. Final Result: The used scale reports two global scores:
| Baseline |
| Quality of Life (WHOQOL-AGE) | Measure: World Health Organization Quality of Life-Age (WHOQOL-AGE) (Caballero, et al., 2013). Construct: Quality of life. Final Result: A global total score. Range 0-100. 0 means lower quality of life | Baseline |
| Measure | Description | Time Frame |
|---|---|---|
| Number of Participants With Depression | Measure: The World Health Organization Composite International Diagnostic Interview (CIDI). Depression module (WHO-CIDI, 1990). Construct: Presence of Depression. Final result: Two measures of depression according to Research Diagnostic Criteria.
| Baseline |
| Measure | Description | Time Frame |
|---|---|---|
| Alcohol Use Information | Construct: Alcohol use Measure: Self-reported information of how many standard drinks per day in last 7 days have been used. Values: four categories of alcohol use: 0= Lifetime abstainers: Participants that have never used alcohol
|
Inclusion Criteria:
Exclusion Criteria:
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Community-living individuals in Spain aged 18 years or older
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| Name | Affiliation | Role |
|---|---|---|
| Jose Luis Ayuso Mateos, MD, PhD | Fundación de Investigación Biomédica - Hospital Universitario de La Princesa | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Fundació Sant Joan de Déu | Sant Boi de Llobregat | Barcelona | 08830 | Spain | ||
| Fundación de Investigación Biomédica - Hospital Universitario de La Princesa |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 28835255 | Result | Miret M, Caballero FF, Olaya B, Koskinen S, Naidoo N, Tobiasz-Adamczyk B, Leonardi M, Haro JM, Chatterji S, Ayuso-Mateos JL. Association of experienced and evaluative well-being with health in nine countries with different income levels: a cross-sectional study. Global Health. 2017 Aug 23;13(1):65. doi: 10.1186/s12992-017-0290-0. | |
| 28633439 |
| Label | URL |
|---|---|
| Age with health website info | View source |
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A sharing plan description has to be still agreed between the different Principal Investigators
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Respondents unable to undertake the interview because of severe cognitive or physical impairment were administered a shorter version of the questionnaire to a proxy respondent.
Spanish general adult population non-institutionalized; aged 18+ years with oversampling of those aged 50+ years and those 80+ years); multi-stage stratified sampling; representative sample.
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| ID | Title | Description |
|---|---|---|
| FG000 | Cohort 2011 | A total of 4753 persons participated at baseline between 2011 and 2012. |
| FG001 | Cohort 2019 | 3,002 persons participated at this baseline between 2019 and 2021 |
| Title | Milestones | Reasons Not Completed | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
At the baseline, 4,753 participants were interviewed (2011 cohort), of which 2,528 were interviewed in the second wave and 1,577 in the third wave. In 2019-2021 3,002 participants were brought in (2019 cohort).
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| ID | Title | Description |
|---|---|---|
| BG000 | Cohort 2011 Sample Demographic Characteristics | The 2011 Cohort is part of a nationally representative sample of the Spanish noninstitutionalized adult population. Potential respondents were selected by a stratified, multistage, clustered area probability design, without replacement, according to the Spanish regions and population size. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Count of Participants |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Heath Status | Measure: Health composite total score. Construct: Health status. Final result: A global total score. Range: 0-100. 0 means lower health status. | Posted | Mean | Standard Deviation | score on a scale | Baseline |
|
|
For both cohorts (2011 and 2019), data on adverse events and deaths are collected at the same time, when a new wave is carried out. Specifically for cohort 2011 adverse events have been evaluated 4 times during 12 years (2011-2012, 2014-2015, 2019-2021 and 2022-2023) and for cohort 2019 they have been evaluated 2 times during 4 years (2019-2020 and 2022-2023).
Diverse chronic conditions were assessed through self-reported physician's diagnosis, symptom-based algorithms (e.g., stroke, chronic obstructive lung disease - COPD), and/or measurements to detect undiagnosed cases. This section also included questions on treatments and age of onset
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Cohort 2011 | The data comprising the 2011 reference cohort were collected as part of the Collaborative Research on Ageing in Europe (COURAGE in Europe) project between July 2011 and May 2012. It consisted of a representative sample of the Spanish adult population over 50 years of age, with an oversampling of older people and a representative comparison sample of individuals aged 18-49 years. Potential respondents were selected using a stratified, multistage, stratified probability design, by clustered areas without replacement, according to Spanish regions and population size. The primary sampling unit consisted of municipalities. A number of census units (the secondary sampling unit) were chosen from each of them. Age strata were then used to randomly select 10 households within each census unit (the tertiary sampling unit). Finally, a list of household occupants was drawn up, from which one participant was randomly selected following age quotas. Institutionalized persons were not included in the initial interviews. At baseline, 4,753 participants were interviewed, of which 2,528 were interviewed in the second wave (2014-2015), 1,577 in the third wave (2010-2021) and 963 in the fourth wave (2022-2023). |
| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| Stroke | Vascular disorders | Stroke | Systematic Assessment | Participants were asked if they have had a stroke diagnosed by a doctor. Other related questions were asked, as if the participants suffered from sudden paralysis of legs or arms of one side of his body. |
| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| Arthritis | Musculoskeletal and connective tissue disorders | STROKE, COPD | Systematic Assessment |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| José Luis Ayuso Mateos | Hospital Universitario de La Princesa, Instituto de Investigación Sanitaria Princesa (IIS-Princesa), Madrid, Spain. | joseluis.ayuso@uam.es |
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| ID | Term |
|---|---|
| D002908 | Chronic Disease |
| D001523 | Mental Disorders |
| D060825 | Cognitive Dysfunction |
| D000092862 | Psychological Well-Being |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D003072 | Cognition Disorders |
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| Presence of Suicide Behavior | Measure: The World Health Organization Composite International Diagnostic Interview (CIDI). Suicide module (WHO-CIDI, 1990). Construct: Presence of Suicide behavior The instrument reports six measures of suicide behavior.
| Baseline |
| Presence of Anxiety Disorders | Measure: The World Health Organization Composite International Diagnostic Interview (CIDI). Anxiety disorders module (WHO-CIDI, 1990). Construct: Presence of anxiety Disorders Final Result: The instrument included in the study reports six measures of anxiety disorders according to Research diagnostic criteria.
| Baseline |
| Presence of Diabetes | Construct: Presence of diabetes Measure: Self-reported information of 12-month presence of diagnosis and/or of treatment for diabetes Values: (Yes/No) | Baseline |
| Presence of Lung Disease | Construct: Presence of any lung disease Measure: Self-reported information of 12-month presence of diagnosis and/or of treatment for any lung disease Values: (Yes/No) | Baseline |
| Presence of Stroke | Construct: Presence of stroke Measure: Self-reported information of 12-month presence of diagnosis and/or of treatment for stroke Values: (Yes/No) | Baseline |
| Baseline |
| Tobacco Use Information | Construct: Tobacco use Measure: Self-reported information of how many cigarettes/pipes/tobacco products/ have been used in the last week. Values: Four categories of tobacco use: 0= Never smokers: Participants who have never used tobacco
| Baseline |
| Level of Physical Activity | Construct: Level of physical activity Scale: Global Physical Activity Questionnaire version 2 (GPAQ v2); It collects information on physical activity participation in three settings (or domains) and sedentary behavior. The responses given by the participants have been converted to Metabolic Equivalent to Task (MET) values. Applying MET values to activity levels allows for calculating total physical activities. Values: Three values of physical activity can be obtained 3=High physical activity 2=Moderate physical activity 1=Low physical activity | Baseline |
| Level of Social Support | Construct: Social Support Measure: 3-Item Oslo Social Support Scale (OSLO) (Abiola et al., 2013) Result: A global total score, then transformed into a percentile scale. Range: 0-100. Higher scores indicate a higher social support. | Baseline |
| Intensity of Subjective Perception of Loneliness | Construct: Loneliness Measure: Three-item University of California, Los Angeles (UCLA) Loneliness Scale (Hughes et al, 2004) Result: A total loneliness score, then transformed into a percentile scale. Range: 0-100. Higher scores means higher loneliness | Baseline |
| Madrid |
| 28006 |
| Spain |
| Universidad Autónoma de Madrid | Madrid | 28029 | Spain |
| Olaya B, Moneta MV, Domenech-Abella J, Miret M, Bayes I, Ayuso-Mateos JL, Haro JM. Mobility Difficulties, Physical Activity, and All-cause Mortality Risk in a Nationally representative Sample of Older Adults. J Gerontol A Biol Sci Med Sci. 2018 Aug 10;73(9):1272-1279. doi: 10.1093/gerona/glx121. |
| 28178703 | Result | Lara E, Koyanagi A, Domenech-Abella J, Miret M, Ayuso-Mateos JL, Haro JM. The Impact of Depression on the Development of Mild Cognitive Impairment over 3 Years of Follow-Up: A Population-Based Study. Dement Geriatr Cogn Disord. 2017;43(3-4):155-169. doi: 10.1159/000455227. Epub 2017 Feb 9. |
| 28033196 | Result | Martin-Maria N, Miret M, Caballero FF, Rico-Uribe LA, Steptoe A, Chatterji S, Ayuso-Mateos JL. The Impact of Subjective Well-being on Mortality: A Meta-Analysis of Longitudinal Studies in the General Population. Psychosom Med. 2017 Jun;79(5):565-575. doi: 10.1097/PSY.0000000000000444. |
| 27825839 | Result | Lara E, Koyanagi A, Caballero F, Domenech-Abella J, Miret M, Olaya B, Rico-Uribe L, Ayuso-Mateos JL, Haro JM. Cognitive reserve is associated with quality of life: A population-based study. Exp Gerontol. 2017 Jan;87(Pt A):67-73. doi: 10.1016/j.exger.2016.10.012. Epub 2016 Nov 5. |
| 27630609 | Result | Kamenov K, Caballero FF, Miret M, Leonardi M, Sainio P, Tobiasz-Adamczyk B, Haro JM, Chatterji S, Ayuso-Mateos JL, Cabello M. Which Are the Most Burdensome Functioning Areas in Depression? A Cross-National Study. Front Psychol. 2016 Aug 31;7:1342. doi: 10.3389/fpsyg.2016.01342. eCollection 2016. |
| 27462289 | Result | Martin-Maria N, Caballero FF, Olaya B, Rodriguez-Artalejo F, Haro JM, Miret M, Ayuso-Mateos JL. Positive Affect Is Inversely Associated with Mortality in Individuals without Depression. Front Psychol. 2016 Jul 12;7:1040. doi: 10.3389/fpsyg.2016.01040. eCollection 2016. |
| 27434374 | Result | Raggi A, Corso B, Minicuci N, Quintas R, Sattin D, De Torres L, Chatterji S, Frisoni GB, Haro JM, Koskinen S, Martinuzzi A, Miret M, Tobiasz-Adamczyk B, Leonardi M. Determinants of Quality of Life in Ageing Populations: Results from a Cross-Sectional Study in Finland, Poland and Spain. PLoS One. 2016 Jul 19;11(7):e0159293. doi: 10.1371/journal.pone.0159293. eCollection 2016. |
| 27239412 | Result | Tyrovolas S, Koyanagi A, Olaya B, Ayuso-Mateos JL, Miret M, Chatterji S, Tobiasz-Adamczyk B, Koskinen S, Leonardi M, Haro JM. Factors associated with skeletal muscle mass, sarcopenia, and sarcopenic obesity in older adults: a multi-continent study. J Cachexia Sarcopenia Muscle. 2016 Jun;7(3):312-21. doi: 10.1002/jcsm.12076. Epub 2015 Oct 7. |
| 26923809 | Result | Lara E, Koyanagi A, Olaya B, Lobo A, Miret M, Tyrovolas S, Ayuso-Mateos JL, Haro JM. Mild cognitive impairment in a Spanish representative sample: prevalence and associated factors. Int J Geriatr Psychiatry. 2016 Aug;31(8):858-67. doi: 10.1002/gps.4398. Epub 2016 Feb 28. |
| 26805608 | Result | Olaya B, Moneta MV, Koyanagi A, Lara E, Miret M, Ayuso-Mateos JL, Chatterji S, Leonardi M, Koskinen S, Tobiasz-Adamczyk B, Lobo A, Haro JM. The joint association of depression and cognitive function with severe disability among community-dwelling older adults in Finland, Poland and Spain. Exp Gerontol. 2016 Apr;76:39-45. doi: 10.1016/j.exger.2016.01.010. Epub 2016 Jan 22. |
| 26761205 | Result | Rico-Uribe LA, Caballero FF, Olaya B, Tobiasz-Adamczyk B, Koskinen S, Leonardi M, Haro JM, Chatterji S, Ayuso-Mateos JL, Miret M. Loneliness, Social Networks, and Health: A Cross-Sectional Study in Three Countries. PLoS One. 2016 Jan 13;11(1):e0145264. doi: 10.1371/journal.pone.0145264. eCollection 2016. |
| 26048566 | Result | Tyrovolas S, Koyanagi A, Olaya B, Ayuso-Mateos JL, Miret M, Chatterji S, Tobiasz-Adamczyk B, Koskinen S, Leonardi M, Haro JM. The role of muscle mass and body fat on disability among older adults: A cross-national analysis. Exp Gerontol. 2015 Sep;69:27-35. doi: 10.1016/j.exger.2015.06.002. Epub 2015 Jun 3. |
| 25886589 | Result | Koyanagi A, Stickley A, Garin N, Miret M, Ayuso-Mateos JL, Leonardi M, Koskinen S, Galas A, Haro JM. The association between obesity and back pain in nine countries: a cross-sectional study. BMC Public Health. 2015 Feb 11;15:123. doi: 10.1186/s12889-015-1362-9. |
| 25688991 | Result | Tyrovolas S, Koyanagi A, Garin N, Olaya B, Ayuso-Mateos JL, Miret M, Chatterji S, Tobiasz-Adamczyk B, Koskinen S, Leonardi M, Haro JM. Diabetes mellitus and its association with central obesity and disability among older adults: a global perspective. Exp Gerontol. 2015 Apr;64:70-7. doi: 10.1016/j.exger.2015.02.010. Epub 2015 Feb 16. |
| 25528433 | Result | Tyrovolas S, Koyanagi A, Garin N, Olaya B, Ayuso-Mateos JL, Miret M, Chatterji S, Tobiasz-Adamczyk B, Koskinen S, Leonardi M, Haro JM. Determinants of the components of arterial pressure among older adults--the role of anthropometric and clinical factors: a multi-continent study. Atherosclerosis. 2015 Feb;238(2):240-9. doi: 10.1016/j.atherosclerosis.2014.11.029. Epub 2014 Dec 9. |
| 25378725 | Result | Miret M, Caballero FF, Chatterji S, Olaya B, Tobiasz-Adamczyk B, Koskinen S, Leonardi M, Haro JM, Ayuso-Mateos JL. Health and happiness: cross-sectional household surveys in Finland, Poland and Spain. Bull World Health Organ. 2014 Oct 1;92(10):716-25. doi: 10.2471/BLT.13.129254. Epub 2014 Aug 13. |
| 25375890 | Result | Garin N, Olaya B, Moneta MV, Miret M, Lobo A, Ayuso-Mateos JL, Haro JM. Impact of multimorbidity on disability and quality of life in the Spanish older population. PLoS One. 2014 Nov 6;9(11):e111498. doi: 10.1371/journal.pone.0111498. eCollection 2014. |
| 25356084 | Result | Garin N, Olaya B, Miret M, Ayuso-Mateos JL, Power M, Bucciarelli P, Haro JM. Built environment and elderly population health: a comprehensive literature review. Clin Pract Epidemiol Ment Health. 2014 Oct 21;10:103-15. doi: 10.2174/1745017901410010103. eCollection 2014. |
| 25190638 | Result | Lara E, Olaya B, Garin N, Ayuso-Mateos JL, Miret M, Moneta V, Haro JM. Is cognitive impairment associated with suicidality? A population-based study. Eur Neuropsychopharmacol. 2015 Feb;25(2):203-13. doi: 10.1016/j.euroneuro.2014.08.010. Epub 2014 Aug 21. |
| 25103270 | Result | Garin N, Olaya B, Lara E, Moneta MV, Miret M, Ayuso-Mateos JL, Haro JM. Visual impairment and multimorbidity in a representative sample of the Spanish population. BMC Public Health. 2014 Aug 8;14:815. doi: 10.1186/1471-2458-14-815. |
| 24836081 | Result | Miret M, Caballero FF, Huerta-Ramirez R, Moneta MV, Olaya B, Chatterji S, Haro JM, Ayuso-Mateos JL. Factors associated with suicidal ideation and attempts in Spain for different age groups. Prevalence before and after the onset of the economic crisis. J Affect Disord. 2014 Jul;163:1-9. doi: 10.1016/j.jad.2014.03.045. Epub 2014 Apr 1. |
| 23897864 | Result | Quintas R, Raggi A, Bucciarelli P, Franco MG, Andreotti A, Caballero FF, Olaya B, Chatterji S, Galas A, Merilainen-Porras S, Frisoni G, Russo E, Minicuci N, Power M, Leonardi M. The COURAGE Built Environment Outdoor Checklist: an objective built environment instrument to investigate the impact of the environment on health and disability. Clin Psychol Psychother. 2014 May-Jun;21(3):204-14. doi: 10.1002/cpp.1858. Epub 2013 Jul 29. |
| 23881690 | Result | Leonardi M, Chatterji S, Koskinen S, Ayuso-Mateos JL, Haro JM, Frisoni G, Frattura L, Martinuzzi A, Tobiasz-Adamczyk B, Gmurek M, Serrano R, Finocchiaro C; COURAGE in Europe Project's Consortium. Determinants of health and disability in ageing population: the COURAGE in Europe Project (collaborative research on ageing in Europe). Clin Psychol Psychother. 2014 May-Jun;21(3):193-8. doi: 10.1002/cpp.1856. Epub 2013 Jul 24. |
| 24735743 | Result | Perales J, Martin S, Ayuso-Mateos JL, Chatterji S, Garin N, Koskinen S, Leonardi M, Miret M, Moneta V, Olaya B, Tobiasz-Adamczyk B, Haro JM. Factors associated with active aging in Finland, Poland, and Spain. Int Psychogeriatr. 2014 Aug;26(8):1363-75. doi: 10.1017/S1041610214000520. Epub 2014 Apr 15. |
| 24465433 | Result | Garin N, Olaya B, Perales J, Moneta MV, Miret M, Ayuso-Mateos JL, Haro JM. Multimorbidity patterns in a national representative sample of the Spanish adult population. PLoS One. 2014 Jan 20;9(1):e84794. doi: 10.1371/journal.pone.0084794. eCollection 2014. |
| 24152691 | Result | Caballero FF, Miret M, Power M, Chatterji S, Tobiasz-Adamczyk B, Koskinen S, Leonardi M, Olaya B, Haro JM, Ayuso-Mateos JL. Validation of an instrument to evaluate quality of life in the aging population: WHOQOL-AGE. Health Qual Life Outcomes. 2013 Oct 23;11:177. doi: 10.1186/1477-7525-11-177. |
| 23939715 | Result | Zawisza K, Galas A, Tobiasz-Adamczyk B, Chatterji S, Haro JM, Miret M, Koskinen S, Power M, Leonardi M. The validity of the instrument to evaluate social network in the ageing population: the Collaborative Research on Ageing in Europe Social Network Index. Clin Psychol Psychother. 2014 May-Jun;21(3):227-41. doi: 10.1002/cpp.1860. Epub 2013 Aug 12. |
| 23861306 | Result | Raggi A, Quintas R, Bucciarelli P, Franco MG, Andreotti A, Miret M, Zawisza K, Olaya B, Chatterji S, Sainio P, Frisoni GB, Martinuzzi A, Minicuci N, Power M, Leonardi M. Validation of the COURAGE Built Environment Self-Reported Questionnaire. Clin Psychol Psychother. 2014 May-Jun;21(3):215-26. doi: 10.1002/cpp.1859. Epub 2013 Jul 16. |
| 23861299 | Result | Raggi A, Quintas R, Russo E, Martinuzzi A, Costardi D, Frisoni GB, Franco MG, Andreotti A, Ojala M, Pena S, Perales J, Chatterji S, Miret M, Tobiasz-Adamczyk B, Koskinen S, Frattura L, Leonardi M. Mapping SAGE questionnaire to the International Classification of Functioning, Disability and Health (ICF). Clin Psychol Psychother. 2014 May-Jun;21(3):199-203. doi: 10.1002/cpp.1857. Epub 2013 Jul 17. |
| 23626697 | Result | Ayuso-Mateos JL, Miret M, Caballero FF, Olaya B, Haro JM, Kowal P, Chatterji S. Multi-country evaluation of affective experience: validation of an abbreviated version of the day reconstruction method in seven countries. PLoS One. 2013 Apr 23;8(4):e61534. doi: 10.1371/journal.pone.0061534. Print 2013. |
| 28154893 | Result | Domenech-Abella J, Lara E, Rubio-Valera M, Olaya B, Moneta MV, Rico-Uribe LA, Ayuso-Mateos JL, Mundo J, Haro JM. Loneliness and depression in the elderly: the role of social network. Soc Psychiatry Psychiatr Epidemiol. 2017 Apr;52(4):381-390. doi: 10.1007/s00127-017-1339-3. Epub 2017 Feb 2. |
| 30172214 | Result | Olaya B, Moneta MV, Miret M, Ayuso-Mateos JL, Haro JM. Epidemiology of panic attacks, panic disorder and the moderating role of age: Results from a population-based study. J Affect Disord. 2018 Dec 1;241:627-633. doi: 10.1016/j.jad.2018.08.069. Epub 2018 Aug 16. |
| 31382535 | Result | Olaya B, Moneta MV, Lara E, Miret M, Martin-Maria N, Moreno-Agostino D, Ayuso-Mateos JL, Abduljabbar AS, Haro JM. Fruit and Vegetable Consumption and Potential Moderators Associated with All-Cause Mortality in a Representative Sample of Spanish Older Adults. Nutrients. 2019 Aug 2;11(8):1794. doi: 10.3390/nu11081794. |
| 31304639 | Result | Lara E, Caballero FF, Rico-Uribe LA, Olaya B, Haro JM, Ayuso-Mateos JL, Miret M. Are loneliness and social isolation associated with cognitive decline? Int J Geriatr Psychiatry. 2019 Nov;34(11):1613-1622. doi: 10.1002/gps.5174. Epub 2019 Jul 25. |
| 30590962 | Result | Martin-Maria N, Caballero FF, Moreno-Agostino D, Olaya B, Haro JM, Ayuso-Mateos JL, Miret M. Relationship between subjective well-being and healthy lifestyle behaviours in older adults: a longitudinal study. Aging Ment Health. 2020 Apr;24(4):611-619. doi: 10.1080/13607863.2018.1548567. Epub 2018 Dec 28. |
| 32056909 | Result | Cabello M, Borges G, Lara E, Olaya B, Martin-Maria N, Moreno-Agostino D, Miret M, Caballero FF, Haro JM, Ayuso-Mateos JL. The relationship between all-cause mortality and depression in different gender and age groups of the Spanish population. J Affect Disord. 2020 Apr 1;266:424-428. doi: 10.1016/j.jad.2020.01.162. Epub 2020 Jan 28. |
| 34074355 | Result | Ayuso-Mateos JL, Morillo D, Haro JM, Olaya B, Lara E, Miret M. Changes in depression and suicidal ideation under severe lockdown restrictions during the first wave of the COVID-19 pandemic in Spain: a longitudinal study in the general population. Epidemiol Psychiatr Sci. 2021 Jun 2;30:e49. doi: 10.1017/S2045796021000408. |
| 34029134 | Result | Lara E, Martin-Maria N, Miret M, Olaya B, Haro JM, Ayuso-Mateos JL. Is there a combined effect of depression and cognitive reserve on cognitive function? Findings from a population-based study. Psychol Health. 2022 Sep;37(9):1132-1147. doi: 10.1080/08870446.2021.1927030. Epub 2021 May 24. |
| 36727409 | Result | Castelletti C, Lara E, Tobiasz-Adamczyk B, Koskinen S, Olaya B, Haro JM, Leonardi M, Kowal P, Chatterji S, Ayuso-Mateos JL, Miret M. Connecting and feeling: Associations between social factors and emotions in nine countries. Int J Psychol. 2023 Jun;58(3):282-291. doi: 10.1002/ijop.12892. Epub 2023 Feb 2. |
| BG001 |
| Cohort 2019 Sample Demographic Characteristics |
In 2019-2021 3,002 participants were brought in (2019 cohort), using the same sample characteristics . |
| BG002 | Total | Total of all reporting groups |
| Participants |
|
| Age, Continuous | Mean | Standard Deviation | years |
|
| Sex: Female, Male | Count of Participants | Participants | No |
|
| Ethnicity (NIH/OMB) | Count of Participants | Participants |
|
| Region of Enrollment | Count of Participants | Participants |
|
| Region of Enrollment | Count of Participants | Participants |
|
| Education | Count of Participants | Participants |
|
| Marital status | Count of Participants | Participants |
|
| Health Status | 'Health' is the health state score between 0-100, 0 meaning the worst health and 100 the perfect health. | Mean | Standard Deviation | units on a scale |
|
| Participants |
|
|
| Primary | Disability | Measure: World Health Organization's Disability Assessment Schedule-II (WHODAS-II). Construct: Disability. Final result: A global total score. Range: 0-100. 0 means lower disability | Posted | Mean | Standard Deviation | score on a scale | Baseline |
|
|
|
| Primary | Experienced Well-being | Abbreviated Version of the Day Reconstruction Method. Construct: Experienced wellbeing. Final Result: The used scale reports two global scores:
| Proxy respondent were not analysed | Posted | Mean | Standard Deviation | score on a scale | Baseline |
|
|
|
| Primary | Quality of Life (WHOQOL-AGE) | Measure: World Health Organization Quality of Life-Age (WHOQOL-AGE) (Caballero, et al., 2013). Construct: Quality of life. Final Result: A global total score. Range 0-100. 0 means lower quality of life | Proxy respondent were not analysed | Posted | Mean | Standard Deviation | score on a scale | Baseline |
|
|
|
| Secondary | Number of Participants With Depression | Measure: The World Health Organization Composite International Diagnostic Interview (CIDI). Depression module (WHO-CIDI, 1990). Construct: Presence of Depression. Final result: Two measures of depression according to Research Diagnostic Criteria.
| Proxy respondent were not analysed | Posted | Count of Participants | Participants | Baseline |
|
|
|
| Secondary | Presence of Suicide Behavior | Measure: The World Health Organization Composite International Diagnostic Interview (CIDI). Suicide module (WHO-CIDI, 1990). Construct: Presence of Suicide behavior The instrument reports six measures of suicide behavior.
| Posted | Count of Participants | Participants | Baseline |
|
|
|
| Secondary | Presence of Anxiety Disorders | Measure: The World Health Organization Composite International Diagnostic Interview (CIDI). Anxiety disorders module (WHO-CIDI, 1990). Construct: Presence of anxiety Disorders Final Result: The instrument included in the study reports six measures of anxiety disorders according to Research diagnostic criteria.
| Proxy respondent were not analysed | Posted | Count of Participants | Participants | Baseline |
|
|
|
| Secondary | Presence of Diabetes | Construct: Presence of diabetes Measure: Self-reported information of 12-month presence of diagnosis and/or of treatment for diabetes Values: (Yes/No) | Posted | Count of Participants | Participants | Baseline |
|
|
|
| Secondary | Presence of Lung Disease | Construct: Presence of any lung disease Measure: Self-reported information of 12-month presence of diagnosis and/or of treatment for any lung disease Values: (Yes/No) | Posted | Count of Participants | Participants | Baseline |
|
|
|
| Secondary | Presence of Stroke | Construct: Presence of stroke Measure: Self-reported information of 12-month presence of diagnosis and/or of treatment for stroke Values: (Yes/No) | Posted | Count of Participants | Participants | Baseline |
|
|
|
| Other Pre-specified | Alcohol Use Information | Construct: Alcohol use Measure: Self-reported information of how many standard drinks per day in last 7 days have been used. Values: four categories of alcohol use: 0= Lifetime abstainers: Participants that have never used alcohol
| Proxy respondent were not analysed | Posted | Count of Participants | Participants | Baseline |
|
|
|
| Other Pre-specified | Tobacco Use Information | Construct: Tobacco use Measure: Self-reported information of how many cigarettes/pipes/tobacco products/ have been used in the last week. Values: Four categories of tobacco use: 0= Never smokers: Participants who have never used tobacco
| Proxy respondent were not analysed | Posted | Count of Participants | Participants | Baseline |
|
|
|
| Other Pre-specified | Level of Physical Activity | Construct: Level of physical activity Scale: Global Physical Activity Questionnaire version 2 (GPAQ v2); It collects information on physical activity participation in three settings (or domains) and sedentary behavior. The responses given by the participants have been converted to Metabolic Equivalent to Task (MET) values. Applying MET values to activity levels allows for calculating total physical activities. Values: Three values of physical activity can be obtained 3=High physical activity 2=Moderate physical activity 1=Low physical activity | Proxy respondent were not analysed | Posted | Count of Participants | Participants | Baseline |
|
|
|
| Other Pre-specified | Level of Social Support | Construct: Social Support Measure: 3-Item Oslo Social Support Scale (OSLO) (Abiola et al., 2013) Result: A global total score, then transformed into a percentile scale. Range: 0-100. Higher scores indicate a higher social support. | Posted | Mean | Standard Deviation | score on a scale | Baseline |
|
|
|
| Other Pre-specified | Intensity of Subjective Perception of Loneliness | Construct: Loneliness Measure: Three-item University of California, Los Angeles (UCLA) Loneliness Scale (Hughes et al, 2004) Result: A total loneliness score, then transformed into a percentile scale. Range: 0-100. Higher scores means higher loneliness | Posted | Mean | Standard Deviation | score on a scale | Baseline |
|
|
|
| 591 |
| 4,753 |
| 706 |
| 4,753 |
| 1,447 |
| 4,753 |
| EG001 | Cohort 2019 | The sample of the 2019 cohort is a new representative refreshment sample from the provinces of Barcelona and Madrid, to compensate for attrition (e.g., deaths, dropouts) from the 2011 cohort. Household selection was also multistage. At the primary sampling unit level, households were defined using predefined routes and an omission factor. Households were assigned to one of two age groups (i.e., household aged 18-49 years or household aged 50 years or older) and interviewers hand-delivered the invitation letter to the selected households. All residents in the eligible age group were invited to participate in the survey. In this first wave, 3 002 participants joined and in 2022 the second selection of participants for the 2019 cohort was conducted, of which 1 037 participants were interviewed. | 157 | 3,002 | 234 | 3,002 | 1,474 | 3,002 |
|
| Lungs problems | Respiratory, thoracic and mediastinal disorders | Lungs Problems | Systematic Assessment | Participants were asked if they ever have been diagnosed of some chronic lungs illness, as emphysema, chronic bronchitis, chronic obstructive lungs illness), and related questions, as if they feel lack of breathing in the last 12 months. |
|
| Diabetes | Metabolism and nutrition disorders | STROKE, COPD | Systematic Assessment |
|
| Cataract | Eye disorders | STROKE, COPD | Systematic Assessment | Vision Problem |
|
Not provided
Not provided
| D019965 | Neurocognitive Disorders |
| D010549 | Personal Satisfaction |
| D001519 | Behavior |
| Unknown or Not Reported |
|
| Primary |
|
| Secondary |
|
| High School |
|
| University+ |
|
| Post graduate degree |
|
| missing data |
|
| Cohabiting |
|
| Separated/divorced |
|
| widowed |
|
| Negative Affect |
|
|
| Non-heavy drinker |
|
| Infrequent heavy drinker |
|
| Frequent heavy drinker |
|
| Missing |
|
| Non daily smokers |
|
| Former smokers |
|
| Low |
|