Birjand longitudinal aging study (BLAS): the objectives, study protocol and design (wave I: baseline data gathering)

Objectives The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric syndrome such as frailty, diabetes, cardiovascular diseases, and dementia. These conditions are the most prominent challenges for health...

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Published inJournal of diabetes and metabolic disorders Vol. 19; no. 1; pp. 551 - 559
Main Authors Moodi, Mitra, Firoozabadi, Mohammad Dehghani, Kazemi, Tooba, Payab, Moloud, Ghaemi, Kazem, Miri, Mohammad Reza, Sharifzadeh, Gholamreza, Fakhrzadeh, Hosein, Ebrahimpur, Mahbube, Arzaghi, Seyed Masoud, Zarban, Asghar, Mirimoghadam, Ebrahim, Sharifi, Ali, Hosseini, Motahareh Sheikh, Esmaeili, Aliakbar, Mohammadifard, Mahyar, Ehsanbakhsh, Alireza, Ahmadi, Zahra, Yaghoobi, Gholam Hossain, Hosseinirad, Seyed Abbas, Davari, Mohamad Hossein, Heydari, Behroz, Nikandish, Malihe, Norouzpour, Amir, Naseri, Saeed, Khorashadizadeh, Masoumeh, Mohtashami, Somayeh, Mehdizadeh, Kambiz, Ahmadi, Galileh, Soltani, Huriye, Khodbakhshi, Huriye, Sharifi, Farshad, Larijan, Bagher
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.06.2020
BioMed Central Ltd
Nature Publishing Group
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Abstract Objectives The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric syndrome such as frailty, diabetes, cardiovascular diseases, and dementia. These conditions are the most prominent challenges for health care systems and also elderly people. Therefore, understanding these changes can help scientists to prevent and treat significant health issues and also improve the functional ability of older adults. Methods This is a protocol of the first wave of Birjand Longitudinal Aging Study that is an ongoing community-based prospective cohort study with a following up at least 10 years. This study carries out on aged population ≥ 60 years which were residents in Birjand County (urban and rural older subjects). The selection of the participants of this study in urban areas is based on an age group weighted multistage stratified random sample while in the rural region the sample was selected from all ten rural regions of Birjand County by simple random sampling. The rural region sampling was based on the list of the aged population which were under the coverage of the rural health center. Sociodemographic, past medical history, lifestyle, sleep, activities of daily living, cognitive function, quality of life, and social capital were evaluated by interviewing with the participants and one of the informants. Anthropometric measures, electrocardiography, and interpretation of ophthalmologic examination were carried out by experts. Fasting Blood samples were collected and bio-banked in − 80 °C. then finally biochemical and hematologic markers were measured. Results This is the protocol of stage one baseline of Birjand Longitudinal Aging Study (BLAS). The BLAS is an enjoining study, the first phase of its baseline was carried out on a community- dwelling aged population sample ≥ 60 years who were residents in urban and rural regions of Birjand County. This is a community based prospective cohort study with at least 10 years follow up of participants. The data for 65% of older subjects (response rate = 65%) that lived in clusters were collected. Conclusions This study can help scientists to recognize some risk factors related to the aging process and also aware policymakers about the necessity to create heath care services at regional and even national levels.
AbstractList The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric syndrome such as frailty, diabetes, cardiovascular diseases, and dementia. These conditions are the most prominent challenges for health care systems and also elderly people. Therefore, understanding these changes can help scientists to prevent and treat significant health issues and also improve the functional ability of older adults.OBJECTIVESThe pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric syndrome such as frailty, diabetes, cardiovascular diseases, and dementia. These conditions are the most prominent challenges for health care systems and also elderly people. Therefore, understanding these changes can help scientists to prevent and treat significant health issues and also improve the functional ability of older adults.This is a protocol of the first wave of Birjand Longitudinal Aging Study that is an ongoing community-based prospective cohort study with a following up at least 10 years. This study carries out on aged population ≥ 60 years which were residents in Birjand County (urban and rural older subjects). The selection of the participants of this study in urban areas is based on an age group weighted multistage stratified random sample while in the rural region the sample was selected from all ten rural regions of Birjand County by simple random sampling. The rural region sampling was based on the list of the aged population which were under the coverage of the rural health center. Sociodemographic, past medical history, lifestyle, sleep, activities of daily living, cognitive function, quality of life, and social capital were evaluated by interviewing with the participants and one of the informants. Anthropometric measures, electrocardiography, and interpretation of ophthalmologic examination were carried out by experts. Fasting Blood samples were collected and bio-banked in - 80 °C. then finally biochemical and hematologic markers were measured.METHODSThis is a protocol of the first wave of Birjand Longitudinal Aging Study that is an ongoing community-based prospective cohort study with a following up at least 10 years. This study carries out on aged population ≥ 60 years which were residents in Birjand County (urban and rural older subjects). The selection of the participants of this study in urban areas is based on an age group weighted multistage stratified random sample while in the rural region the sample was selected from all ten rural regions of Birjand County by simple random sampling. The rural region sampling was based on the list of the aged population which were under the coverage of the rural health center. Sociodemographic, past medical history, lifestyle, sleep, activities of daily living, cognitive function, quality of life, and social capital were evaluated by interviewing with the participants and one of the informants. Anthropometric measures, electrocardiography, and interpretation of ophthalmologic examination were carried out by experts. Fasting Blood samples were collected and bio-banked in - 80 °C. then finally biochemical and hematologic markers were measured.This is the protocol of stage one baseline of Birjand Longitudinal Aging Study (BLAS). The BLAS is an enjoining study, the first phase of its baseline was carried out on a community- dwelling aged population sample ≥ 60 years who were residents in urban and rural regions of Birjand County. This is a community based prospective cohort study with at least 10 years follow up of participants. The data for 65% of older subjects (response rate = 65%) that lived in clusters were collected.RESULTSThis is the protocol of stage one baseline of Birjand Longitudinal Aging Study (BLAS). The BLAS is an enjoining study, the first phase of its baseline was carried out on a community- dwelling aged population sample ≥ 60 years who were residents in urban and rural regions of Birjand County. This is a community based prospective cohort study with at least 10 years follow up of participants. The data for 65% of older subjects (response rate = 65%) that lived in clusters were collected.This study can help scientists to recognize some risk factors related to the aging process and also aware policymakers about the necessity to create heath care services at regional and even national levels.CONCLUSIONSThis study can help scientists to recognize some risk factors related to the aging process and also aware policymakers about the necessity to create heath care services at regional and even national levels.
The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric syndrome such as frailty, diabetes, cardiovascular diseases, and dementia. These conditions are the most prominent challenges for health care systems and also elderly people. Therefore, understanding these changes can help scientists to prevent and treat significant health issues and also improve the ability of This is a protocol of the first wave of Birjand Longitudinal Aging Study that is an ongoing community-based prospective cohort study with a following up at least 10 years. This study carries out on aged population ≥ 60 years which were residents in Birjand County (urban and rural older subjects). The selection of the participants of this study in urban areas is based on an age group weighted multistage stratified random sample while in the rural region the sample was selected from all ten rural regions of Birjand County by simple random sampling. The rural region sampling was based on the list of the aged population which were under the coverage of the rural health center. Sociodemographic, past medical history, lifestyle, sleep, activities of daily living, cognitive function, quality of life, and social capital were evaluated by interviewing with the participants and one of the informants. Anthropometric measures, electrocardiography, and interpretation of ophthalmologic examination were carried out by experts. Fasting Blood samples were collected and bio-banked in - 80 °C. then finally biochemical and hematologic markers were measured. This is the protocol of stage one baseline of Birjand Longitudinal Aging Study (BLAS). The BLAS is an enjoining study, the first phase of its baseline was carried out on a community- dwelling aged population sample ≥ 60 years who were residents in urban and rural regions of Birjand County. This is a community based prospective cohort study with at least 10 years follow up of participants. The data for 65% of older subjects (response rate = 65%) that lived in clusters were collected. This study can help scientists to recognize some risk factors related to the aging process and also aware policymakers about the necessity to create heath care services at regional and even national levels.
Objectives The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric syndrome such as frailty, diabetes, cardiovascular diseases, and dementia. These conditions are the most prominent challenges for health care systems and also elderly people. Therefore, understanding these changes can help scientists to prevent and treat significant health issues and also improve the functional ability of older adults. Methods This is a protocol of the first wave of Birjand Longitudinal Aging Study that is an ongoing community-based prospective cohort study with a following up at least 10 years. This study carries out on aged population [greater than or equai to] 60 years which were residents in Birjand County (urban and rural older subjects). The selection of the participants of this study in urban areas is based on an age group weighted multistage stratified random sample while in the rural region the sample was selected from all ten rural regions of Birjand County by simple random sampling. The rural region sampling was based on the list of the aged population which were under the coverage of the rural health center. Sociodemographic, past medical history, lifestyle, sleep, activities of daily living, cognitive function, quality of life, and social capital were evaluated by interviewing with the participants and one of the informants. Anthropometric measures, electrocardiography, and interpretation of ophthalmologic examination were carried out by experts. Fasting Blood samples were collected and bio-banked in - 80 [degrees]C. then finally biochemical and hematologic markers were measured. Results This is the protocol of stage one baseline of Birjand Longitudinal Aging Study (BLAS). The BLAS is an enjoining study, the first phase of its baseline was carried out on a community- dwelling aged population sample [greater than or equai to] 60 years who were residents in urban and rural regions of Birjand County. This is a community based prospective cohort study with at least 10 years follow up of participants. The data for 65% of older subjects (response rate = 65%) that lived in clusters were collected. Conclusions This study can help scientists to recognize some risk factors related to the aging process and also aware policymakers about the necessity to create heath care services at regional and even national levels. Keywords: Aged, Geriatric syndromes, Cognitive status, Functional assessment, Study profile
Objectives The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric syndrome such as frailty, diabetes, cardiovascular diseases, and dementia. These conditions are the most prominent challenges for health care systems and also elderly people. Therefore, understanding these changes can help scientists to prevent and treat significant health issues and also improve the functional ability of older adults. Methods This is a protocol of the first wave of Birjand Longitudinal Aging Study that is an ongoing community-based prospective cohort study with a following up at least 10 years. This study carries out on aged population ≥ 60 years which were residents in Birjand County (urban and rural older subjects). The selection of the participants of this study in urban areas is based on an age group weighted multistage stratified random sample while in the rural region the sample was selected from all ten rural regions of Birjand County by simple random sampling. The rural region sampling was based on the list of the aged population which were under the coverage of the rural health center. Sociodemographic, past medical history, lifestyle, sleep, activities of daily living, cognitive function, quality of life, and social capital were evaluated by interviewing with the participants and one of the informants. Anthropometric measures, electrocardiography, and interpretation of ophthalmologic examination were carried out by experts. Fasting Blood samples were collected and bio-banked in − 80 °C. then finally biochemical and hematologic markers were measured. Results This is the protocol of stage one baseline of Birjand Longitudinal Aging Study (BLAS). The BLAS is an enjoining study, the first phase of its baseline was carried out on a community- dwelling aged population sample ≥ 60 years who were residents in urban and rural regions of Birjand County. This is a community based prospective cohort study with at least 10 years follow up of participants. The data for 65% of older subjects (response rate = 65%) that lived in clusters were collected. Conclusions This study can help scientists to recognize some risk factors related to the aging process and also aware policymakers about the necessity to create heath care services at regional and even national levels.
ObjectivesThe pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric syndrome such as frailty, diabetes, cardiovascular diseases, and dementia. These conditions are the most prominent challenges for health care systems and also elderly people. Therefore, understanding these changes can help scientists to prevent and treat significant health issues and also improve the functional ability of older adults.MethodsThis is a protocol of the first wave of Birjand Longitudinal Aging Study that is an ongoing community-based prospective cohort study with a following up at least 10 years. This study carries out on aged population ≥ 60 years which were residents in Birjand County (urban and rural older subjects). The selection of the participants of this study in urban areas is based on an age group weighted multistage stratified random sample while in the rural region the sample was selected from all ten rural regions of Birjand County by simple random sampling. The rural region sampling was based on the list of the aged population which were under the coverage of the rural health center. Sociodemographic, past medical history, lifestyle, sleep, activities of daily living, cognitive function, quality of life, and social capital were evaluated by interviewing with the participants and one of the informants. Anthropometric measures, electrocardiography, and interpretation of ophthalmologic examination were carried out by experts. Fasting Blood samples were collected and bio-banked in − 80 °C. then finally biochemical and hematologic markers were measured.ResultsThis is the protocol of stage one baseline of Birjand Longitudinal Aging Study (BLAS). The BLAS is an enjoining study, the first phase of its baseline was carried out on a community- dwelling aged population sample ≥ 60 years who were residents in urban and rural regions of Birjand County. This is a community based prospective cohort study with at least 10 years follow up of participants. The data for 65% of older subjects (response rate = 65%) that lived in clusters were collected.ConclusionsThis study can help scientists to recognize some risk factors related to the aging process and also aware policymakers about the necessity to create heath care services at regional and even national levels.
Audience General
Author Norouzpour, Amir
Khodbakhshi, Huriye
Yaghoobi, Gholam Hossain
Khorashadizadeh, Masoumeh
Ghaemi, Kazem
Sharifi, Ali
Kazemi, Tooba
Arzaghi, Seyed Masoud
Zarban, Asghar
Ebrahimpur, Mahbube
Ahmadi, Zahra
Sharifzadeh, Gholamreza
Hosseinirad, Seyed Abbas
Nikandish, Malihe
Larijan, Bagher
Miri, Mohammad Reza
Hosseini, Motahareh Sheikh
Moodi, Mitra
Firoozabadi, Mohammad Dehghani
Mohammadifard, Mahyar
Soltani, Huriye
Davari, Mohamad Hossein
Mehdizadeh, Kambiz
Mohtashami, Somayeh
Heydari, Behroz
Mirimoghadam, Ebrahim
Ehsanbakhsh, Alireza
Esmaeili, Aliakbar
Ahmadi, Galileh
Naseri, Saeed
Payab, Moloud
Fakhrzadeh, Hosein
Sharifi, Farshad
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  givenname: Mohammad Dehghani
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  givenname: Tooba
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  organization: Cardiovascular Diseases Research Center, Birjand University of Medical Sciences, School of Medicine, Birjand University of Medical Sciences
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  givenname: Asghar
  surname: Zarban
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  givenname: Ebrahim
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  givenname: Ali
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  organization: Department of Computer Sciences, Shahid Behesthi University
– sequence: 14
  givenname: Motahareh Sheikh
  surname: Hosseini
  fullname: Hosseini, Motahareh Sheikh
  organization: Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences
– sequence: 15
  givenname: Aliakbar
  surname: Esmaeili
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– sequence: 16
  givenname: Mahyar
  surname: Mohammadifard
  fullname: Mohammadifard, Mahyar
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– sequence: 17
  givenname: Alireza
  surname: Ehsanbakhsh
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  organization: Social Determinants of Health Research Center, Birjand University of Medical Sciences, School of Medicine, Birjand University of Medical Sciences
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  surname: Ahmadi
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  givenname: Seyed Abbas
  surname: Hosseinirad
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  givenname: Mohamad Hossein
  surname: Davari
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  givenname: Behroz
  surname: Heydari
  fullname: Heydari, Behroz
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  givenname: Malihe
  surname: Nikandish
  fullname: Nikandish, Malihe
  organization: School of Medicine, Birjand University of Medical Sciences
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  givenname: Amir
  surname: Norouzpour
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  organization: School of Medicine, Birjand University of Medical Sciences
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  givenname: Saeed
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  givenname: Masoumeh
  surname: Khorashadizadeh
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– sequence: 27
  givenname: Somayeh
  surname: Mohtashami
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  organization: Social Determinants of Health Research Center, Birjand University of Medical Sciences
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  organization: Social Determinants of Health Research Center, Birjand University of Medical Sciences
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  organization: Social Determinants of Health Research Center, Birjand University of Medical Sciences
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  givenname: Huriye
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  givenname: Huriye
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  givenname: Farshad
  orcidid: 0000-0002-2035-6587
  surname: Sharifi
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  email: farshad.sharifi@gmail.com
  organization: Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences
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  givenname: Bagher
  surname: Larijan
  fullname: Larijan, Bagher
  organization: Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences
BackLink https://www.ncbi.nlm.nih.gov/pubmed/32550207$$D View this record in MEDLINE/PubMed
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Keywords Functional assessment
Aged
Cognitive status
Geriatric syndromes
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References FerrariAJBurden of depressive disorders by country, sex, age, and year: findings from the global burden of disease study 2010PLoS Med2013101110.1371/journal.pmed.1001547
Amirkalali B, Sharifi F, Fakhrzadeh H, Mirarefin M, Ghaderpanahi M, Larijani B. Evaluation of the mini nutritional assessment in the elderly, Tehran. Iran Public Health Nutr. 2010;13(9):1373–9.
IkramMAThe Rotterdam study: 2018 update on objectives, design and main resultsEur J Epidemiol201732980785010.1007/s10654-017-0321-4
ChristensenKDoblhammerGRauRVaupelJWAgeing populations: the challenges aheadLancet200937496961196120810.1016/S0140-6736(09)61460-4
CamiciGGMolecular mechanism of endothelial and vascular aging: implications for cardiovascular diseaseEur Heart J20153648339234031:CAS:528:DC%2BC1cXpsFCmuw%3D%3D10.1093/eurheartj/ehv587
DonoghueOACohort Profile Update: The Irish Longitudinal Study on Ageing (TILDA)Int J Epidemiol201847513981398l10.1093/ije/dyy163
Hayat SA, Luben R, Keevil VL, Moore S, Dalzell N, Bhaniani A, et al. Cohort profile: a prospective cohort study of objective physical and cognitive capability and visual health in an ageing population of men and women in Norfolk (EPIC-Norfolk 3). Int J Epidemiol. 2014;43(4):1063–72.
PrinceMThe global prevalence of dementia: a systematic review and metaanalysisAlzheimers Dement2013916375.e210.1016/j.jalz.2012.11.007
Heidenreich PA, Trogdon JG, Khavjou OA, Butler J, Dracup K, Ezekowitz MD, et al. Forecasting the future of cardiovascular disease in the United States: a policy statement from the American Heart Association. Circulation. 2011;123(8):933–44.
Newman AB, Naydeck BL, Ives DG, Boudreau RM, Sutton-Tyrrell K, O'Leary DH, et al. Coronary artery calcium, carotid artery wall thickness, and cardiovascular disease outcomes in adults 70 to 99 years old. Am J Cardiol. 2008;101(2):186–92.
Ardestani, M.S., et al., Validation of Persian version of PHQ-9 for diagnosis of major depressive episode in psychiatric wards in IRAN. 2019. 5(2): p. 1–8.
ForoughanMWahlundLOJafariZRahgozarMFarahaniIGRashediVValidity and reliability of abbreviated mental test score (AMTS) among older IranianPsychogeriatrics201717646046510.1111/psyg.12276
AnsariNNNaghdiSHassonSValizadehLJalaieSValidation of a mini-mental state examination (MMSE) for the Persian population: a pilot studyAppl Neuropsychol201017319019510.1080/09084282.2010.499773
PaneniFDiaz CañestroCLibbyPLüscherTFCamiciGGThe aging cardiovascular system: understanding it at the cellular and clinical levelsJ Am Coll Cardiol201769151952196710.1016/j.jacc.2017.01.064
Kuller LH, Lopez OL, Mackey RH, Rosano C, Edmundowicz D, Becker JT, et al. Subclinical cardiovascular disease and death, dementia, and coronary heart disease in patients 80+ years. J Am Coll Cardiol. 2016;67(9):1013–22.
Xiao S, Li J, Tang M, Chen W, Bao F, Wang H, et al. Methodology of China's national study on the evaluation, early recognition, and treatment of psychological problems in the elderly: the China longitudinal aging study (CLAS). Shanghai Arch Psychiatry. 2013;25(2):91–8.
GuigozYVellasBGarryPJAssessing the nutritional status of the elderly: the mini nutritional assessment as part of the geriatric evaluationNutr Rev1996541 Pt 2S59S651:STN:280:DyaK2s%2FnslWiug%3D%3D8919685
Statistical Center of Iran, I.R.o.I., Selected Findings of the 2016 National Population and Housing Census, [updated 2018 Aug] Available from: https://www.amar.org.ir/portals/0/census/1395/results/g_sarshomari-95.pdf.
WadeDTCollinCThe Barthel ADL index: a standard measure of physical disability?Int Disabil Stud198810264671:STN:280:DyaL1c3pvVKhtg%3D%3D10.3109/09638288809164105
KaiserMJValidation of the mini nutritional assessment short-form (MNA-SF): a practical tool for identification of nutritional statusJ Nutr Health Aging20091397827881:STN:280:DC%2BD1MnnslWltA%3D%3D10.1007/s12603-009-0214-7
Asadi-LariMIdentifying associated factors with social capital using path analysis: a population-based survey in Tehran, Iran (urban HEART-2)Med J Islam Repub Iran201630414282105795307624
World Health Organization, S., Dementia A public health priority. 2012, Available from: https://apps.who.int/iris/bitstream/handle/10665/75263/9789241564458_eng.pdf;jsessionid=CE1D0B78689B6CF3AE1F552AB55F0951?sequence=1.
Shiani, M., M.T. Mousavi, and H.J.I.E.R. Zare, The measurement of social capital in Tehran 2017. 21(2): p. 431–447.
The World Bank, I.R.o.I., Fertility rate, total (births per woman), 2019. available from: https://data.worldbank.org/indicator/SP.DYN.TFRT.IN?locations=IR.
DadfarMKalibatsevaZLesterDReliability and validity of the Farsi version of the patient health Questionnaire-9 (PHQ-9) with Iranian psychiatric outpatientsTrends Psychiatry Psychother201840214415110.1590/2237-6089-2017-0116
MontazeriAThe Iranian version of 12-item short form health survey (SF-12): factor structure, internal consistency and construct validityBMC Public Health2009934110.1186/1471-2458-9-341
Xu, J., et al., Global and regional economic costs of dementia: a systematic review. 2017. 390: p. S47.
Maggio, M. and F. Lauretani, Prevalence, incidence, and clinical impact of cognitive-motoric risk syndrome in Europe, USA, and Japan: facts and numbers update 2019. J Cachexia Sarcopenia Muscle, 2019.
Alzheimer’s disease International, L., Dementia statistics,[updated 2019 Sep 1]. Available from: https://www.alz.co.uk/research/statistics.
GrafCThe Lawton instrumental activities of daily living (IADL) scaleMedsurg Nurs200817534334419051984
SiebelingLWiebersSBeemLPuhanMAter RietGValidity and reproducibility of a physical activity questionnaire for older adults: questionnaire versus accelerometer for assessing physical activity in older adultsClin Epidemiol2012417118010.2147/CLEP.S30848
FreedmanVAMartinLGSchoeniRFRecent trends in disability and functioning among older adults in the United States: a systematic reviewJama2002288243137314610.1001/jama.288.24.3137
KovacicJCMorenoPNabelEGHachinskiVFusterVCellular senescence, vascular disease, and aging: part 2 of a 2-part review: clinical vascular disease in the elderlyCirculation2011123171900191010.1161/CIRCULATIONAHA.110.009118
HormoziSIranian version of Barthel index: validity and reliability in Outpatients' elderlyInt J Prev Med20191013010.4103/ijpvm.IJPVM_579_18
Ardila, A., F. Ostrosky-Solís, and B.J.I.J.O.P. Bernal, Cognitive testing toward the future: The example of Semantic Verbal Fluency (ANIMALS) 2006. 41(5): p. 324–332.
Centers for Disease Control and Prevention, U., National Health and Nutriton Examination Survey (NHNES) Anthropometry Procedures Manual,January 2007. Available from: https://www.cdc.gov/nchs/data/nhanes/nhanes_07_08/manual_an.pdf
Angeles, L.J.J.O.P.E., Demographic transitions: analyzing the effects of mortality on fertility. 2010. 23(1): p. 99–120.
LevisBBenedettiAThombsBDAccuracy of patient health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysisBmj2019365l147610.1136/bmj.l1476
KirkwoodTBSystems biology of ageing and longevityPhilos Trans R Soc Lond Ser B Biol Sci20113661561647010.1098/rstb.2010.0275
MajediHValidation of the Persian Version of the Brief Pain Inventory (BPI-P) in Chronic Pain PatientsJ Pain Symptom Manage2017541132138.e210.1016/j.jpainsymman.2017.02.017
BarerMLAging and health care utilization: new evidence on old fallaciesSoc Sci Med198724108518621:STN:280:DyaL2s3pt1agsQ%3D%3D10.1016/0277-9536(87)90186-9
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References_xml – reference: GrafCThe Lawton instrumental activities of daily living (IADL) scaleMedsurg Nurs200817534334419051984
– reference: World Health Organization, S., Dementia A public health priority. 2012, Available from: https://apps.who.int/iris/bitstream/handle/10665/75263/9789241564458_eng.pdf;jsessionid=CE1D0B78689B6CF3AE1F552AB55F0951?sequence=1.
– reference: The World Bank, I.R.o.I., Fertility rate, total (births per woman), 2019. available from: https://data.worldbank.org/indicator/SP.DYN.TFRT.IN?locations=IR.
– reference: PrinceMThe global prevalence of dementia: a systematic review and metaanalysisAlzheimers Dement2013916375.e210.1016/j.jalz.2012.11.007
– reference: Hayat SA, Luben R, Keevil VL, Moore S, Dalzell N, Bhaniani A, et al. Cohort profile: a prospective cohort study of objective physical and cognitive capability and visual health in an ageing population of men and women in Norfolk (EPIC-Norfolk 3). Int J Epidemiol. 2014;43(4):1063–72.
– reference: BarerMLAging and health care utilization: new evidence on old fallaciesSoc Sci Med198724108518621:STN:280:DyaL2s3pt1agsQ%3D%3D10.1016/0277-9536(87)90186-9
– reference: Centers for Disease Control and Prevention, U., National Health and Nutriton Examination Survey (NHNES) Anthropometry Procedures Manual,January 2007. Available from: https://www.cdc.gov/nchs/data/nhanes/nhanes_07_08/manual_an.pdf
– reference: Xiao S, Li J, Tang M, Chen W, Bao F, Wang H, et al. Methodology of China's national study on the evaluation, early recognition, and treatment of psychological problems in the elderly: the China longitudinal aging study (CLAS). Shanghai Arch Psychiatry. 2013;25(2):91–8.
– reference: ForoughanMWahlundLOJafariZRahgozarMFarahaniIGRashediVValidity and reliability of abbreviated mental test score (AMTS) among older IranianPsychogeriatrics201717646046510.1111/psyg.12276
– reference: KirkwoodTBSystems biology of ageing and longevityPhilos Trans R Soc Lond Ser B Biol Sci20113661561647010.1098/rstb.2010.0275
– reference: HormoziSIranian version of Barthel index: validity and reliability in Outpatients' elderlyInt J Prev Med20191013010.4103/ijpvm.IJPVM_579_18
– reference: SiebelingLWiebersSBeemLPuhanMAter RietGValidity and reproducibility of a physical activity questionnaire for older adults: questionnaire versus accelerometer for assessing physical activity in older adultsClin Epidemiol2012417118010.2147/CLEP.S30848
– reference: KovacicJCMorenoPNabelEGHachinskiVFusterVCellular senescence, vascular disease, and aging: part 2 of a 2-part review: clinical vascular disease in the elderlyCirculation2011123171900191010.1161/CIRCULATIONAHA.110.009118
– reference: WadeDTCollinCThe Barthel ADL index: a standard measure of physical disability?Int Disabil Stud198810264671:STN:280:DyaL1c3pvVKhtg%3D%3D10.3109/09638288809164105
– reference: Heidenreich PA, Trogdon JG, Khavjou OA, Butler J, Dracup K, Ezekowitz MD, et al. Forecasting the future of cardiovascular disease in the United States: a policy statement from the American Heart Association. Circulation. 2011;123(8):933–44.
– reference: Amirkalali B, Sharifi F, Fakhrzadeh H, Mirarefin M, Ghaderpanahi M, Larijani B. Evaluation of the mini nutritional assessment in the elderly, Tehran. Iran Public Health Nutr. 2010;13(9):1373–9.
– reference: MajediHValidation of the Persian Version of the Brief Pain Inventory (BPI-P) in Chronic Pain PatientsJ Pain Symptom Manage2017541132138.e210.1016/j.jpainsymman.2017.02.017
– reference: PaneniFDiaz CañestroCLibbyPLüscherTFCamiciGGThe aging cardiovascular system: understanding it at the cellular and clinical levelsJ Am Coll Cardiol201769151952196710.1016/j.jacc.2017.01.064
– reference: ChristensenKDoblhammerGRauRVaupelJWAgeing populations: the challenges aheadLancet200937496961196120810.1016/S0140-6736(09)61460-4
– reference: CamiciGGMolecular mechanism of endothelial and vascular aging: implications for cardiovascular diseaseEur Heart J20153648339234031:CAS:528:DC%2BC1cXpsFCmuw%3D%3D10.1093/eurheartj/ehv587
– reference: Kuller LH, Lopez OL, Mackey RH, Rosano C, Edmundowicz D, Becker JT, et al. Subclinical cardiovascular disease and death, dementia, and coronary heart disease in patients 80+ years. J Am Coll Cardiol. 2016;67(9):1013–22.
– reference: Alzheimer’s disease International, L., Dementia statistics,[updated 2019 Sep 1]. Available from: https://www.alz.co.uk/research/statistics.
– reference: DadfarMKalibatsevaZLesterDReliability and validity of the Farsi version of the patient health Questionnaire-9 (PHQ-9) with Iranian psychiatric outpatientsTrends Psychiatry Psychother201840214415110.1590/2237-6089-2017-0116
– reference: MontazeriAThe Iranian version of 12-item short form health survey (SF-12): factor structure, internal consistency and construct validityBMC Public Health2009934110.1186/1471-2458-9-341
– reference: Xu, J., et al., Global and regional economic costs of dementia: a systematic review. 2017. 390: p. S47.
– reference: IkramMAThe Rotterdam study: 2018 update on objectives, design and main resultsEur J Epidemiol201732980785010.1007/s10654-017-0321-4
– reference: Maggio, M. and F. Lauretani, Prevalence, incidence, and clinical impact of cognitive-motoric risk syndrome in Europe, USA, and Japan: facts and numbers update 2019. J Cachexia Sarcopenia Muscle, 2019.
– reference: FerrariAJBurden of depressive disorders by country, sex, age, and year: findings from the global burden of disease study 2010PLoS Med2013101110.1371/journal.pmed.1001547
– reference: Newman AB, Naydeck BL, Ives DG, Boudreau RM, Sutton-Tyrrell K, O'Leary DH, et al. Coronary artery calcium, carotid artery wall thickness, and cardiovascular disease outcomes in adults 70 to 99 years old. Am J Cardiol. 2008;101(2):186–92.
– reference: Angeles, L.J.J.O.P.E., Demographic transitions: analyzing the effects of mortality on fertility. 2010. 23(1): p. 99–120.
– reference: GuigozYVellasBGarryPJAssessing the nutritional status of the elderly: the mini nutritional assessment as part of the geriatric evaluationNutr Rev1996541 Pt 2S59S651:STN:280:DyaK2s%2FnslWiug%3D%3D8919685
– reference: LevisBBenedettiAThombsBDAccuracy of patient health Questionnaire-9 (PHQ-9) for screening to detect major depression: individual participant data meta-analysisBmj2019365l147610.1136/bmj.l1476
– reference: DonoghueOACohort Profile Update: The Irish Longitudinal Study on Ageing (TILDA)Int J Epidemiol201847513981398l10.1093/ije/dyy163
– reference: Asadi-LariMIdentifying associated factors with social capital using path analysis: a population-based survey in Tehran, Iran (urban HEART-2)Med J Islam Repub Iran201630414282105795307624
– reference: Ardila, A., F. Ostrosky-Solís, and B.J.I.J.O.P. Bernal, Cognitive testing toward the future: The example of Semantic Verbal Fluency (ANIMALS) 2006. 41(5): p. 324–332.
– reference: Shiani, M., M.T. Mousavi, and H.J.I.E.R. Zare, The measurement of social capital in Tehran 2017. 21(2): p. 431–447.
– reference: Ardestani, M.S., et al., Validation of Persian version of PHQ-9 for diagnosis of major depressive episode in psychiatric wards in IRAN. 2019. 5(2): p. 1–8.
– reference: FreedmanVAMartinLGSchoeniRFRecent trends in disability and functioning among older adults in the United States: a systematic reviewJama2002288243137314610.1001/jama.288.24.3137
– reference: Statistical Center of Iran, I.R.o.I., Selected Findings of the 2016 National Population and Housing Census, [updated 2018 Aug] Available from: https://www.amar.org.ir/portals/0/census/1395/results/g_sarshomari-95.pdf.
– reference: KaiserMJValidation of the mini nutritional assessment short-form (MNA-SF): a practical tool for identification of nutritional statusJ Nutr Health Aging20091397827881:STN:280:DC%2BD1MnnslWltA%3D%3D10.1007/s12603-009-0214-7
– reference: AnsariNNNaghdiSHassonSValizadehLJalaieSValidation of a mini-mental state examination (MMSE) for the Persian population: a pilot studyAppl Neuropsychol201017319019510.1080/09084282.2010.499773
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Snippet Objectives The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including...
The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including geriatric...
Objectives The pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including...
ObjectivesThe pace of population aging is growing rapidly around the world. Aging is associated with the emergence of different health status including...
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SubjectTerms Aging
Blood banks
Cardiovascular diseases
Cognitive ability
Cohort analysis
Data entry
Dementia
Dementia disorders
Diabetes
Electrocardiogram
Electrocardiography
Endocrinology
Gerontology
Health aspects
Medicine
Medicine & Public Health
Metabolic Diseases
Older people
Quality of life
Risk factors
Rural areas
Rural health
Scientists
Study Protocol
Urban areas
Title Birjand longitudinal aging study (BLAS): the objectives, study protocol and design (wave I: baseline data gathering)
URI https://link.springer.com/article/10.1007/s40200-020-00504-5
https://www.ncbi.nlm.nih.gov/pubmed/32550207
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Volume 19
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