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

doi:10.1016/j.arr.2016.12.002

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

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Abstract

OBJECTIVE: Pathomechanisms of sedentary behavior (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 ≥3 days. 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.

Original language	English
Journal	Ageing research reviews
Early online date	23 Dec 2016
DOIs	https://doi.org/10.1016/j.arr.2016.12.002
Publication status	Early online date - 23 Dec 2016

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Biomarkers associated with sedentary behaviour in older adults: a systematic review
© 2016 The Authors. Published by Elsevier B.V. This is an open access article published under a Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits distribution and reproduction for non-commercial purposes, provided the author and source are cited.
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Wirth, K., Klenk, J., Brefka, S., Dallmeier, D., Faehling, K., Figuls, M. R. I., Tully, M. A., Giné-Garriga, M., Caserotti, P., Salvà, A., Rothenbacher, D., Denkinger, M., Stubbs, B., & SITLESS consortium (2016). Biomarkers associated with sedentary behaviour in older adults: a systematic review. Ageing research reviews. https://doi.org/10.1016/j.arr.2016.12.002

Wirth, Katharina ; Klenk, Jochen ; Brefka, Simone ; Dallmeier, Dhayana ; Faehling, Kathrin ; Figuls, Marta Roqué I ; 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. In: Ageing research reviews. 2016.

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abstract = "OBJECTIVE: Pathomechanisms of sedentary behavior (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 ≥3 days. 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.",

author = "Katharina Wirth and Jochen Klenk and Simone Brefka and Dhayana Dallmeier and Kathrin Faehling and Figuls, {Marta Roqu{\'e} I} and Tully, {Mark A} and Maria Gin{\'e}-Garriga and Paolo Caserotti and Antoni Salv{\`a} and Dietrich Rothenbacher and Michael Denkinger and Brendon Stubbs and {SITLESS consortium}",

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

In: Ageing research reviews, 23.12.2016.

Research output: Contribution to journal › Article

TY - JOUR

T1 - Biomarkers associated with sedentary behaviour in older adults: a systematic review

AU - Wirth, Katharina

AU - Klenk, Jochen

AU - Brefka, Simone

AU - Dallmeier, Dhayana

AU - Faehling, Kathrin

AU - Figuls, Marta Roqué I

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

PY - 2016/12/23

Y1 - 2016/12/23

N2 - OBJECTIVE: Pathomechanisms of sedentary behavior (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 ≥3 days. 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 behavior (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 ≥3 days. 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.

U2 - 10.1016/j.arr.2016.12.002

DO - 10.1016/j.arr.2016.12.002

M3 - Article

C2 - 28025174

JO - Ageing research reviews

JF - Ageing research reviews

SN - 1568-1637

ER -