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Association of change in brain structure to objectively measured physical activity and sedentary behavior in older adults: Age, Gene/Environment Susceptibility-Reykjavik Study.

https://arctichealth.org/en/permalink/ahliterature266168
Source
Behav Brain Res. 2015 Sep 10;296:118-124
Publication Type
Article
Date
Sep-10-2015
Author
Nanna Yr Arnardottir
Annemarie Koster
Dane R Van Domelen
Robert J Brychta
Paolo Caserotti
Gudny Eiriksdottir
Johanna E Sverrisdottir
Sigurdur Sigurdsson
Erlingur Johannsson
Kong Y Chen
Vilmundur Gudnason
Tamara B Harris
Lenore J Launer
Thorarinn Sveinsson
Source
Behav Brain Res. 2015 Sep 10;296:118-124
Date
Sep-10-2015
Language
English
Publication Type
Article
Abstract
Many studies have examined the hypothesis that greater participation in physical activity (PA) is associated with less brain atrophy. Here we examine, in a sub-sample (n=352, mean age 79.1 years) of the Age, Gene/Environment Susceptibility-Reykjavik Study cohort, the association of the baseline and 5-year change in magnetic resonance imaging (MRI)-derived volumes of gray matter (GM) and white matter (WM) to active and sedentary behavior (SB) measured at the end of the 5-year period by a hip-worn accelerometer for seven consecutive days. More GM (ß=0.11; p=0.044) and WM (ß=0.11; p=0.030) at baseline was associated with more total physical activity (TPA). Also, when adjusting for baseline values, the 5-year change in GM (ß=0.14; p=0.0037) and WM (ß=0.11; p=0.030) was associated with TPA. The 5-year change in WM was associated with SB (ß=-0.11; p=0.0007). These data suggest that objectively measured PA and SB late in life are associated with current and prior cross-sectional measures of brain atrophy, and that change over time is associated with PA and SB in expected directions.
PubMed ID
26363425 View in PubMed
Less detail

Comparison of Summer and Winter Objectively Measured Physical Activity and Sedentary Behavior in Older Adults: Age, Gene/Environment Susceptibility Reykjavik Study.

https://arctichealth.org/en/permalink/ahliterature290965
Source
Int J Environ Res Public Health. 2017 10 21; 14(10):
Publication Type
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Research Support, N.I.H., Intramural
Research Support, U.S. Gov't, Non-P.H.S.
Date
10-21-2017
Author
Nanna Yr Arnardottir
Nina Dora Oskarsdottir
Robert J Brychta
Annemarie Koster
Dane R van Domelen
Paolo Caserotti
Gudny Eiriksdottir
Johanna E Sverrisdottir
Erlingur Johannsson
Lenore J Launer
Vilmundur Gudnason
Tamara B Harris
Kong Y Chen
Thorarinn Sveinsson
Author Affiliation
Faculty of Education, University of Akureyri, Nordurslod 2, 600 Akureyri, Iceland. nanna@unak.is.
Source
Int J Environ Res Public Health. 2017 10 21; 14(10):
Date
10-21-2017
Language
English
Publication Type
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Research Support, N.I.H., Intramural
Research Support, U.S. Gov't, Non-P.H.S.
Keywords
Accelerometry
Aged
Aged, 80 and over
Exercise
Female
Humans
Iceland
Independent Living - statistics & numerical data
Male
Seasons
Sedentary lifestyle
Abstract
In Iceland, there is a large variation in daylight between summer and winter. The aim of the study was to identify how this large variation influences physical activity (PA) and sedentary behavior (SB). Free living PA was measured by a waist-worn accelerometer for one week during waking hours in 138 community-dwelling older adults (61.1% women, 80.3 ± 4.9 years) during summer and winter months. In general, SB occupied about 75% of the registered wear-time and was highly correlated with age (ß = 0.36). Although the differences were small, more time was spent during the summer in all PA categories, except for the moderate-to-vigorous PA (MVPA), and SB was reduced. More lifestyle PA (LSPA) was accumulated in =5-min bouts during summer than winter, especially among highly active participants. This information could be important for policy makers and health professionals working with older adults. Accounting for seasonal difference is necessary in analyzing SB and PA data.
Notes
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PubMed ID
29065475 View in PubMed
Less detail

Comparison of Summer and Winter Objectively Measured Physical Activity and Sedentary Behavior in Older Adults: Age, Gene/Environment Susceptibility Reykjavik Study.

https://arctichealth.org/en/permalink/ahliterature286647
Source
Int J Environ Res Public Health. 2017 Oct 21;14(10)
Publication Type
Article
Date
Oct-21-2017
Author
Nanna Yr Arnardottir
Nina Dora Oskarsdottir
Robert J Brychta
Annemarie Koster
Dane R van Domelen
Paolo Caserotti
Gudny Eiriksdottir
Johanna E Sverrisdottir
Erlingur Johannsson
Lenore J Launer
Vilmundur Gudnason
Tamara B Harris
Kong Y Chen
Thorarinn Sveinsson
Source
Int J Environ Res Public Health. 2017 Oct 21;14(10)
Date
Oct-21-2017
Language
English
Publication Type
Article
Abstract
In Iceland, there is a large variation in daylight between summer and winter. The aim of the study was to identify how this large variation influences physical activity (PA) and sedentary behavior (SB). Free living PA was measured by a waist-worn accelerometer for one week during waking hours in 138 community-dwelling older adults (61.1% women, 80.3 ± 4.9 years) during summer and winter months. In general, SB occupied about 75% of the registered wear-time and was highly correlated with age (ß = 0.36). Although the differences were small, more time was spent during the summer in all PA categories, except for the moderate-to-vigorous PA (MVPA), and SB was reduced. More lifestyle PA (LSPA) was accumulated in =5-min bouts during summer than winter, especially among highly active participants. This information could be important for policy makers and health professionals working with older adults. Accounting for seasonal difference is necessary in analyzing SB and PA data.
PubMed ID
29065475 View in PubMed
Less detail

Daily Physical Activity And Mortality Risk In The Very Old: Age, Gene/Environment-Reykjavik Study: 1993 Board #145 June 2, 3: 30 PM - 5: 00 PM.

https://arctichealth.org/en/permalink/ahliterature273805
Source
Med Sci Sports Exerc. 2016 May;48(5S Suppl 1):555
Publication Type
Article
Date
May-2016

Dynamic sitting: Measurement and associations with metabolic health.

https://arctichealth.org/en/permalink/ahliterature299067
Source
J Sports Sci. 2019 Mar 30; :1-9
Publication Type
Journal Article
Date
Mar-30-2019
Author
Julianne D van der Berg
Coen D A Stehouwer
Hans Bosma
Paolo Caserotti
Gudny Eiriksdottir
Nanna Y Arnardottir
Dane R Van Domelen
Robert J Brychta
Kong Y Chen
Thorarinn Sveinsson
Erlingur Johannsson
Lenore J Launer
Vilmundur Gudnason
Palmi V Jonsson
Tamara B Harris
Annemarie Koster
Author Affiliation
a Department of Social Medicine/CAPHRI Care and Public Health Research Institute , Maastricht University , Maastricht , The Netherlands.
Source
J Sports Sci. 2019 Mar 30; :1-9
Date
Mar-30-2019
Language
English
Publication Type
Journal Article
Abstract
Dynamic sitting, such as fidgeting and desk work, might be associated with health, but remains difficult to identify out of accelerometry data. We examined, in a laboratory study, whether dynamic sitting can be identified out of triaxial activity counts. Among 18 participants (56% men, 27.3 ± 6.5 years), up to 236 counts per minute were recorded in the anteroposterior and mediolateral axes during dynamic sitting using a hip-worn accelerometer. Subsequently, we examined in 621 participants (38% men, 80.0 ± 4.7 years) from the AGES-Reykjavik Study whether dynamic sitting was associated with cardio-metabolic health. Compared to participants who recorded the fewest dynamic sitting minutes (Q1), those with more dynamic sitting minutes had a lower BMI (Q2 = -1.39 (95%CI = -2.33;-0.46); Q3 = -1.87 (-2.82;-0.92); Q4 = -3.38 (-4.32;-2.45)), a smaller waist circumference (Q2 = -2.95 (-5.44;-0.46); Q3 = -3.47 (-6.01;-0.93); Q4 = -8.21 (-10.72;-5.71)), and a lower odds for the metabolic syndrome (Q2 = 0.74 [0.45;1.20] Q3 = 0.58 [0.36;0.95]; Q4 = 0.36 [0.22;0.59]). Our findings suggest that dynamic sitting might be identified using accelerometry and that this behaviour was associated with health. This might be important given the large amounts of time people spend sitting. Future studies with a focus on validation, causation and physiological pathways are needed to further examine the possible relevance of dynamic sitting.
PubMed ID
30929574 View in PubMed
Less detail

Influence of Day Length and Physical Activity on Sleep Patterns in Older Icelandic Men and Women.

https://arctichealth.org/en/permalink/ahliterature266576
Source
J Clin Sleep Med. 2015 Sep 14;
Publication Type
Article
Date
Sep-14-2015
Author
Robert J Brychta
Nanna Yr Arnardottir
Erlingur Johannsson
Elizabeth C Wright
Gudny Eiriksdottir
Vilmundur Gudnason
Catherine R Marinac
Megan Davis
Annemarie Koster
Paolo Caserotti
Thorarinn Sveinsson
Tamara Harris
Kong Y Chen
Source
J Clin Sleep Med. 2015 Sep 14;
Date
Sep-14-2015
Language
English
Publication Type
Article
Abstract
To identify cross-sectional and seasonal patterns of sleep and physical activity (PA) in community-dwelling, older Icelandic adults using accelerometers.
Seven-day free-living protocol as part of a larger population-based longitudinal observational-cohort study.
Greater Reykjavik area of Iceland.
244 (110 female), older Icelandic adults (mean age 79.7±4.9 years). A subpopulation (n = 72) repeated the 7-day measurement during seasonal periods with greater (13.4±1.4 h) and lesser (7.7±1.8 h) daylight.
None.
Cross-sectional analyses using multiple linear regression models revealed that day length was a significant independent predictor of sleep duration, mid-sleep, and rise time (all p
PubMed ID
26414978 View in PubMed
Less detail

Is there a sex difference in accelerometer counts during walking in older adults?

https://arctichealth.org/en/permalink/ahliterature116260
Source
J Phys Act Health. 2014 Mar;11(3):626-37
Publication Type
Article
Date
Mar-2014
Author
Dane R Van Domelen
Paolo Caserotti
Robert J Brychta
Tamara B Harris
Kushang V Patel
Kong Y Chen
Nanna Ýr Arnardóttir
Gudny Eirikdottir
Lenore J Launer
Vilmundur Gudnason
Thórarinn Sveinsson
Erlingur Jóhannsson
Annemarie Koster
Author Affiliation
Dept of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA.
Source
J Phys Act Health. 2014 Mar;11(3):626-37
Date
Mar-2014
Language
English
Publication Type
Article
Keywords
Aged
Aged, 80 and over
Analysis of Variance
Body Weight
Exercise Test
Female
Humans
Male
Monitoring, Ambulatory - methods
Motor Activity
Questionnaires
Sex Factors
Socioeconomic Factors
Time Factors
Walking
Abstract
Accelerometers have emerged as a useful tool for measuring free-living physical activity in epidemiological studies. Validity of activity estimates depends on the assumption that measurements are equivalent for males and females while performing activities of the same intensity. The primary purpose of this study was to compare accelerometer count values in males and females undergoing a standardized 6-minute walk test.
The study population was older adults (78.6 ± 4.1 years) from the AGES-Reykjavik Study (N = 319). Participants performed a 6-minute walk test at a self-selected fast pace while wearing an ActiGraph GT3X at the hip. Vertical axis counts · s(-1) was the primary outcome. Covariates included walking speed, height, weight, BMI, waist circumference, femur length, and step length.
On average, males walked 7.2% faster than females (1.31 vs. 1.22 m · s(-1), P
PubMed ID
23417023 View in PubMed
Less detail

Less screen time and more frequent vigorous physical activity is associated with lower risk of reporting negative mental health symptoms among Icelandic adolescents.

https://arctichealth.org/en/permalink/ahliterature294285
Source
PLoS One. 2018; 13(4):e0196286
Publication Type
Journal Article
Research Support, Non-U.S. Gov't
Date
2018
Author
Soffia M Hrafnkelsdottir
Robert J Brychta
Vaka Rognvaldsdottir
Sunna Gestsdottir
Kong Y Chen
Erlingur Johannsson
Sigridur L Guðmundsdottir
Sigurbjorn A Arngrimsson
Author Affiliation
Center of Sport and Health Sciences, University of Iceland, Reykjavik, Iceland.
Source
PLoS One. 2018; 13(4):e0196286
Date
2018
Language
English
Publication Type
Journal Article
Research Support, Non-U.S. Gov't
Keywords
Accelerometry
Adolescent
Anxiety - complications
Cross-Sectional Studies
Depression - complications
Exercise
Female
Humans
Iceland
Male
Mental Disorders - complications - prevention & control
Mental health
Poisson Distribution
Regression Analysis
Risk
Schools
Sedentary lifestyle
Television
Time Factors
Video Games
Abstract
Few studies have explored the potential interrelated associations of screen time and physical activity with mental health in youth, particularly using objective methods. We examined cross-sectional associations of these variables among Icelandic adolescents, using objective and subjective measurements of physical activity.
Data were collected in the spring of 2015 from 315 tenth grade students (mean age 15.8 years) in six elementary schools in metropolitan Reykjavík, Iceland. Participants reported, via questionnaire, on demographics, weekly frequency of vigorous physical activity, daily hours of screen time and mental health status (symptoms of depression, anxiety and somatic complaints, self-esteem and life satisfaction). Total physical activity was measured over one week with wrist-worn accelerometers. Body composition was determined by DXA-scanning. Poisson regression analysis was used to explore independent and interactive associations of screen time and physical activity with mental health variables, adjusting for gender, body fat percentage and maternal education.
Less screen time (below the group median of 5.3 h/day) and more frequent vigorous physical activity (=4x/week) were each associated with reporting fewer symptoms of depression, anxiety, low self-esteem, and life dissatisfaction. No significant associations were observed between objectively measured physical activity and mental health outcomes. Interactive regression analysis showed that the group reporting both less screen time and more frequent vigorous physical activity had the lowest risk of reporting symptoms of depression, anxiety, low self-esteem, and life dissatisfaction.
Reports of less screen time and more frequent vigorous physical activity were associated with lower risk of reporting mental health problems among Icelandic adolescents. Those who reported a combination of engaging in less screen time and more frequent vigorous physical activity had the lowest risk, suggesting a synergistic relationship between the two behaviors on mental health outcomes. Our results support guiding youth towards more active and less sedentary/screen-based lifestyle.
Notes
Cites: J Adolesc Health. 2008 Apr;42(4):369-77 PMID 18346662
Cites: Am J Health Behav. 2001 Jul-Aug;25(4):353-66 PMID 11488546
Cites: Arch Gen Psychiatry. 1971 May;24(5):454-64 PMID 5581271
Cites: J Pers Assess. 1985 Feb;49(1):71-5 PMID 16367493
Cites: Lancet. 2007 Apr 14;369(9569):1302-13 PMID 17434406
Cites: Obes Rev. 2007 Mar;8(2):129-54 PMID 17300279
Cites: BMC Med. 2010 May 28;8:32 PMID 20509868
Cites: J Can Acad Child Adolesc Psychiatry. 2015 Winter;24(1):17-24 PMID 26336376
Cites: Cochrane Database Syst Rev. 2006 Jul 19;(3):CD004691 PMID 16856055
Cites: Scand J Public Health. 2015 May;43(3):269-75 PMID 25712030
Cites: J Sci Med Sport. 2014 Mar;17(2):183-7 PMID 23648221
Cites: Br J Sports Med. 2014 Feb;48(3):187-96 PMID 23299048
Cites: Scand J Public Health. 2008 Jun;36(4):361-8 PMID 18539690
Cites: J Adolesc Health. 2013 May;52(5):511-2 PMID 23608714
Cites: Dev Psychopathol. 2008 Winter;20(1):319-39 PMID 18211740
Cites: Am J Epidemiol. 2013 Aug 1;178(3):474-83 PMID 23785112
Cites: Pediatrics. 2009 May;123(5):1263-8 PMID 19403489
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Cites: Psychol Bull. 1999 Jul;125(4):470-500 PMID 10414226
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PubMed ID
29698499 View in PubMed
Less detail

Less screen time and more frequent vigorous physical activity is associated with lower risk of reporting negative mental health symptoms among Icelandic adolescents.

https://arctichealth.org/en/permalink/ahliterature291388
Source
PLoS One. 2018; 13(4):e0196286
Publication Type
Journal Article
Date
2018
Author
Soffia M Hrafnkelsdottir
Robert J Brychta
Vaka Rognvaldsdottir
Sunna Gestsdottir
Kong Y Chen
Erlingur Johannsson
Sigridur L Guðmundsdottir
Sigurbjorn A Arngrimsson
Author Affiliation
Center of Sport and Health Sciences, University of Iceland, Reykjavik, Iceland.
Source
PLoS One. 2018; 13(4):e0196286
Date
2018
Language
English
Publication Type
Journal Article
Abstract
Few studies have explored the potential interrelated associations of screen time and physical activity with mental health in youth, particularly using objective methods. We examined cross-sectional associations of these variables among Icelandic adolescents, using objective and subjective measurements of physical activity.
Data were collected in the spring of 2015 from 315 tenth grade students (mean age 15.8 years) in six elementary schools in metropolitan Reykjavík, Iceland. Participants reported, via questionnaire, on demographics, weekly frequency of vigorous physical activity, daily hours of screen time and mental health status (symptoms of depression, anxiety and somatic complaints, self-esteem and life satisfaction). Total physical activity was measured over one week with wrist-worn accelerometers. Body composition was determined by DXA-scanning. Poisson regression analysis was used to explore independent and interactive associations of screen time and physical activity with mental health variables, adjusting for gender, body fat percentage and maternal education.
Less screen time (below the group median of 5.3 h/day) and more frequent vigorous physical activity (=4x/week) were each associated with reporting fewer symptoms of depression, anxiety, low self-esteem, and life dissatisfaction. No significant associations were observed between objectively measured physical activity and mental health outcomes. Interactive regression analysis showed that the group reporting both less screen time and more frequent vigorous physical activity had the lowest risk of reporting symptoms of depression, anxiety, low self-esteem, and life dissatisfaction.
Reports of less screen time and more frequent vigorous physical activity were associated with lower risk of reporting mental health problems among Icelandic adolescents. Those who reported a combination of engaging in less screen time and more frequent vigorous physical activity had the lowest risk, suggesting a synergistic relationship between the two behaviors on mental health outcomes. Our results support guiding youth towards more active and less sedentary/screen-based lifestyle.
Notes
Cites: J Adolesc Health. 2008 Apr;42(4):369-77 PMID 18346662
Cites: Am J Health Behav. 2001 Jul-Aug;25(4):353-66 PMID 11488546
Cites: Arch Gen Psychiatry. 1971 May;24(5):454-64 PMID 5581271
Cites: J Pers Assess. 1985 Feb;49(1):71-5 PMID 16367493
Cites: Lancet. 2007 Apr 14;369(9569):1302-13 PMID 17434406
Cites: Obes Rev. 2007 Mar;8(2):129-54 PMID 17300279
Cites: BMC Med. 2010 May 28;8:32 PMID 20509868
Cites: J Can Acad Child Adolesc Psychiatry. 2015 Winter;24(1):17-24 PMID 26336376
Cites: Cochrane Database Syst Rev. 2006 Jul 19;(3):CD004691 PMID 16856055
Cites: Scand J Public Health. 2015 May;43(3):269-75 PMID 25712030
Cites: J Sci Med Sport. 2014 Mar;17(2):183-7 PMID 23648221
Cites: Br J Sports Med. 2014 Feb;48(3):187-96 PMID 23299048
Cites: Scand J Public Health. 2008 Jun;36(4):361-8 PMID 18539690
Cites: J Adolesc Health. 2013 May;52(5):511-2 PMID 23608714
Cites: Dev Psychopathol. 2008 Winter;20(1):319-39 PMID 18211740
Cites: Am J Epidemiol. 2013 Aug 1;178(3):474-83 PMID 23785112
Cites: Pediatrics. 2009 May;123(5):1263-8 PMID 19403489
Cites: Prev Med. 2011 Oct;53(4-5):316-20 PMID 21933680
Cites: Psychol Bull. 1999 Jul;125(4):470-500 PMID 10414226
Cites: Front Psychol. 2016 Jan 07;6:1890 PMID 26779053
Cites: PLoS One. 2014 Jun 25;9(6):e100914 PMID 24964250
Cites: Int J Epidemiol. 2011 Jun;40(3):685-98 PMID 21245072
Cites: J Affect Disord. 2015 Feb 1;172:18-23 PMID 25451390
Cites: Br J Sports Med. 2011 Sep;45(11):886-95 PMID 21807669
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PubMed ID
29698499 View in PubMed
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Midlife determinants associated with sedentary behavior in old age.

https://arctichealth.org/en/permalink/ahliterature260141
Source
Med Sci Sports Exerc. 2014 Jul;46(7):1359-65
Publication Type
Article
Date
Jul-2014
Author
Julianne D van der Berg
Hans Bosma
Paolo Caserotti
Gudny Eiriksdottir
Nanna Yr Arnardottir
Kathryn R Martin
Robert J Brychta
Kong Y Chen
Thorarinn Sveinsson
Erlingur Johannsson
Lenore J Launer
Vilmundur Gudnason
Palmi V Jonsson
Coen D A Stehouwer
Tamara B Harris
Annemarie Koster
Source
Med Sci Sports Exerc. 2014 Jul;46(7):1359-65
Date
Jul-2014
Language
English
Publication Type
Article
Keywords
Actigraphy
Age Factors
Aged
Aged, 80 and over
Aging - psychology
Female
Heart Diseases - psychology
Humans
Life Style
Male
Marital status
Obesity - psychology
Prospective Studies
Sedentary lifestyle
Sex Factors
Socioeconomic Factors
Abstract
Sedentary behavior is associated with adverse health effects. Insights into associated determinants are essential to prevent sedentary behavior and limit health risks. Sedentary behavior should be viewed as a distinct health behavior; therefore, its determinants should be independently identified.
This study examines the prospective associations between a wide range of midlife determinants and objectively measured sedentary time in old age.
Data from 565 participants (age 73-92 yr) of the AGESII-Reykjavik Study were used. Participants wore an accelerometer (ActiGraph GT3X) on the right hip for seven consecutive days. On average, 31 yr earlier (during midlife), demographic, socioeconomic, lifestyle, and biomedical factors were collected. Linear regression models were used to examine prospective associations between midlife determinants and sedentary time (
PubMed ID
24389522 View in PubMed
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