Biomarkers associated with sedentary behaviour in older adults

A systematic review

Katharina Wirth, Jochen Klenk, Simone Brefka, Dhayana Dallmeier, Kathrin Faehling, Marta Roqué I Figuls, Mark A Tully, Maria Giné-Garriga, Paolo Caserotti, Antoni Salvà, Dietrich Rothenbacher, Michael Denkinger, Brendon Stubbs, SITLESS consortium

Publikation: Bidrag til tidsskriftReviewForskningpeer review

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Resumé

OBJECTIVE: Pathomechanisms of sedentary behaviour (SB) are unclear. We conducted a systematic review to investigate the associations between SB and various biomarkers in older adults.

METHODS: Electronic databases were searched (MEDLINE, EMBASE, CINAHL, AMED) up to July 2015 to identify studies with objective or subjective measures of SB, sample size ≥50, mean age ≥60years and accelerometer wear time ≥3days. Methodological quality was appraised with the CASP tool. The protocol was pre-specified (PROSPERO CRD42015023731).

RESULTS: 12701 abstracts were retrieved, 275 full text articles further explored, from which 249 were excluded. In the final sample (26 articles) a total of 63 biomarkers were detected. Most investigated markers were: body mass index (BMI, n=15), waist circumference (WC, n=15), blood pressure (n=11), triglycerides (n=12) and high density lipoprotein (HDL, n=15). Some inflammation markers were identified such as interleukin-6, C-reactive protein or tumor necrosis factor alpha. There was a lack of renal, muscle or bone biomarkers. Randomized controlled trials found a positive correlation for SB with BMI, neck circumference, fat mass, HbA1C, cholesterol and insulin levels, cohort studies additionally for WC, leptin, C-peptide, ApoA1 and Low density lipoprotein and a negative correlation for HDL.

CONCLUSION: Most studied biomarkers associated with SB were of cardiovascular or metabolic origin. There is a suggestion of a negative impact of SB on biomarkers but still a paucity of high quality investigations exist. Longitudinal studies with objectively measured SB are needed to further elucidate the pathophysiological pathways and possible associations of unexplored biomarkers.

OriginalsprogEngelsk
TidsskriftAgeing Research Reviews
Vol/bind35
Sider (fra-til)87-111
ISSN1568-1637
DOI
StatusUdgivet - 2017

Fingeraftryk

Biomarkers
C-Peptide
Blood pressure
HDL Lipoproteins
Leptin
LDL Lipoproteins
Accelerometers
MEDLINE
C-Reactive Protein
Sample Size
Longitudinal Studies
Muscle
Interleukin-6
Bone
Triglycerides
Body Mass Index
Cohort Studies
Randomized Controlled Trials
Tumor Necrosis Factor-alpha
Fats

Citer dette

Wirth, K., Klenk, J., Brefka, S., Dallmeier, D., Faehling, K., Roqué I Figuls, M., ... SITLESS consortium (2017). Biomarkers associated with sedentary behaviour in older adults: A systematic review. Ageing Research Reviews, 35, 87-111. https://doi.org/10.1016/j.arr.2016.12.002
Wirth, Katharina ; Klenk, Jochen ; Brefka, Simone ; Dallmeier, Dhayana ; Faehling, Kathrin ; Roqué I Figuls, Marta ; Tully, Mark A ; Giné-Garriga, Maria ; Caserotti, Paolo ; Salvà, Antoni ; Rothenbacher, Dietrich ; Denkinger, Michael ; Stubbs, Brendon ; SITLESS consortium. / Biomarkers associated with sedentary behaviour in older adults : A systematic review. I: Ageing Research Reviews. 2017 ; Bind 35. s. 87-111.
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abstract = "OBJECTIVE: Pathomechanisms of sedentary behaviour (SB) are unclear. We conducted a systematic review to investigate the associations between SB and various biomarkers in older adults.METHODS: Electronic databases were searched (MEDLINE, EMBASE, CINAHL, AMED) up to July 2015 to identify studies with objective or subjective measures of SB, sample size ≥50, mean age ≥60years and accelerometer wear time ≥3days. Methodological quality was appraised with the CASP tool. The protocol was pre-specified (PROSPERO CRD42015023731).RESULTS: 12701 abstracts were retrieved, 275 full text articles further explored, from which 249 were excluded. In the final sample (26 articles) a total of 63 biomarkers were detected. Most investigated markers were: body mass index (BMI, n=15), waist circumference (WC, n=15), blood pressure (n=11), triglycerides (n=12) and high density lipoprotein (HDL, n=15). Some inflammation markers were identified such as interleukin-6, C-reactive protein or tumor necrosis factor alpha. There was a lack of renal, muscle or bone biomarkers. Randomized controlled trials found a positive correlation for SB with BMI, neck circumference, fat mass, HbA1C, cholesterol and insulin levels, cohort studies additionally for WC, leptin, C-peptide, ApoA1 and Low density lipoprotein and a negative correlation for HDL.CONCLUSION: Most studied biomarkers associated with SB were of cardiovascular or metabolic origin. There is a suggestion of a negative impact of SB on biomarkers but still a paucity of high quality investigations exist. Longitudinal studies with objectively measured SB are needed to further elucidate the pathophysiological pathways and possible associations of unexplored biomarkers.",
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Wirth, K, Klenk, J, Brefka, S, Dallmeier, D, Faehling, K, Roqué I Figuls, M, Tully, MA, Giné-Garriga, M, Caserotti, P, Salvà, A, Rothenbacher, D, Denkinger, M, Stubbs, B & SITLESS consortium 2017, 'Biomarkers associated with sedentary behaviour in older adults: A systematic review', Ageing Research Reviews, bind 35, s. 87-111. https://doi.org/10.1016/j.arr.2016.12.002

Biomarkers associated with sedentary behaviour in older adults : A systematic review. / Wirth, Katharina; Klenk, Jochen; Brefka, Simone; Dallmeier, Dhayana; Faehling, Kathrin; Roqué I Figuls, Marta; Tully, Mark A; Giné-Garriga, Maria; Caserotti, Paolo; Salvà, Antoni; Rothenbacher, Dietrich; Denkinger, Michael; Stubbs, Brendon; SITLESS consortium.

I: Ageing Research Reviews, Bind 35, 2017, s. 87-111.

Publikation: Bidrag til tidsskriftReviewForskningpeer review

TY - JOUR

T1 - Biomarkers associated with sedentary behaviour in older adults

T2 - A systematic review

AU - Wirth, Katharina

AU - Klenk, Jochen

AU - Brefka, Simone

AU - Dallmeier, Dhayana

AU - Faehling, Kathrin

AU - Roqué I Figuls, Marta

AU - Tully, Mark A

AU - Giné-Garriga, Maria

AU - Caserotti, Paolo

AU - Salvà, Antoni

AU - Rothenbacher, Dietrich

AU - Denkinger, Michael

AU - Stubbs, Brendon

AU - SITLESS consortium

N1 - Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.

PY - 2017

Y1 - 2017

N2 - OBJECTIVE: Pathomechanisms of sedentary behaviour (SB) are unclear. We conducted a systematic review to investigate the associations between SB and various biomarkers in older adults.METHODS: Electronic databases were searched (MEDLINE, EMBASE, CINAHL, AMED) up to July 2015 to identify studies with objective or subjective measures of SB, sample size ≥50, mean age ≥60years and accelerometer wear time ≥3days. Methodological quality was appraised with the CASP tool. The protocol was pre-specified (PROSPERO CRD42015023731).RESULTS: 12701 abstracts were retrieved, 275 full text articles further explored, from which 249 were excluded. In the final sample (26 articles) a total of 63 biomarkers were detected. Most investigated markers were: body mass index (BMI, n=15), waist circumference (WC, n=15), blood pressure (n=11), triglycerides (n=12) and high density lipoprotein (HDL, n=15). Some inflammation markers were identified such as interleukin-6, C-reactive protein or tumor necrosis factor alpha. There was a lack of renal, muscle or bone biomarkers. Randomized controlled trials found a positive correlation for SB with BMI, neck circumference, fat mass, HbA1C, cholesterol and insulin levels, cohort studies additionally for WC, leptin, C-peptide, ApoA1 and Low density lipoprotein and a negative correlation for HDL.CONCLUSION: Most studied biomarkers associated with SB were of cardiovascular or metabolic origin. There is a suggestion of a negative impact of SB on biomarkers but still a paucity of high quality investigations exist. Longitudinal studies with objectively measured SB are needed to further elucidate the pathophysiological pathways and possible associations of unexplored biomarkers.

AB - OBJECTIVE: Pathomechanisms of sedentary behaviour (SB) are unclear. We conducted a systematic review to investigate the associations between SB and various biomarkers in older adults.METHODS: Electronic databases were searched (MEDLINE, EMBASE, CINAHL, AMED) up to July 2015 to identify studies with objective or subjective measures of SB, sample size ≥50, mean age ≥60years and accelerometer wear time ≥3days. Methodological quality was appraised with the CASP tool. The protocol was pre-specified (PROSPERO CRD42015023731).RESULTS: 12701 abstracts were retrieved, 275 full text articles further explored, from which 249 were excluded. In the final sample (26 articles) a total of 63 biomarkers were detected. Most investigated markers were: body mass index (BMI, n=15), waist circumference (WC, n=15), blood pressure (n=11), triglycerides (n=12) and high density lipoprotein (HDL, n=15). Some inflammation markers were identified such as interleukin-6, C-reactive protein or tumor necrosis factor alpha. There was a lack of renal, muscle or bone biomarkers. Randomized controlled trials found a positive correlation for SB with BMI, neck circumference, fat mass, HbA1C, cholesterol and insulin levels, cohort studies additionally for WC, leptin, C-peptide, ApoA1 and Low density lipoprotein and a negative correlation for HDL.CONCLUSION: Most studied biomarkers associated with SB were of cardiovascular or metabolic origin. There is a suggestion of a negative impact of SB on biomarkers but still a paucity of high quality investigations exist. Longitudinal studies with objectively measured SB are needed to further elucidate the pathophysiological pathways and possible associations of unexplored biomarkers.

KW - Biomarkers

KW - Body Mass Index

KW - Cardiovascular Diseases

KW - Cholesterol

KW - Glycated Hemoglobin A

KW - Humans

KW - Insulin

KW - Middle Aged

KW - Risk Factors

KW - Sedentary Lifestyle

KW - Statistics as Topic

KW - Journal Article

KW - Review

U2 - 10.1016/j.arr.2016.12.002

DO - 10.1016/j.arr.2016.12.002

M3 - Review

VL - 35

SP - 87

EP - 111

JO - Ageing Research Reviews

JF - Ageing Research Reviews

SN - 1568-1637

ER -

Wirth K, Klenk J, Brefka S, Dallmeier D, Faehling K, Roqué I Figuls M et al. Biomarkers associated with sedentary behaviour in older adults: A systematic review. Ageing Research Reviews. 2017;35:87-111. https://doi.org/10.1016/j.arr.2016.12.002