Agaplesion Bethesda Hospital, Geriatric Medicine Ulm University, Ulm, Germany; Geriatric Center Ulm/Alb-Donau, Ulm, Germany; Department of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.
Department of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany; Department of Clinical Gerontology, Robert-Bosch-Hospital, Stuttgart, Germany.
Ageing Res Rev. 2017 May;35:87-111. doi: 10.1016/j.arr.2016.12.002. Epub 2016 Dec 23.
Pathomechanisms of sedentary behaviour (SB) are unclear. We conducted a systematic review to investigate the associations between SB and various biomarkers in older adults.
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).
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.
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.
久坐行为(SB)的发病机制尚不清楚。我们进行了一项系统评价,以调查 SB 与老年人各种生物标志物之间的关联。
截至 2015 年 7 月,检索电子数据库(MEDLINE、EMBASE、CINAHL、AMED),以确定具有客观或主观 SB 测量、样本量≥50、平均年龄≥60 岁和加速度计佩戴时间≥3 天的研究。使用 CASP 工具评估方法学质量。该方案是预先指定的(PROSPERO CRD42015023731)。
共检索到 12701 篇摘要,进一步探讨了 275 篇全文文章,其中 249 篇被排除。在最终样本(26 篇文章)中,共检测到 63 种生物标志物。大多数研究的标志物是:体重指数(BMI,n=15)、腰围(WC,n=15)、血压(n=11)、甘油三酯(n=12)和高密度脂蛋白(HDL,n=15)。确定了一些炎症标志物,如白细胞介素-6、C 反应蛋白或肿瘤坏死因子-α。缺乏肾脏、肌肉或骨骼生物标志物。随机对照试验发现 SB 与 BMI、颈围、脂肪量、HbA1C、胆固醇和胰岛素水平呈正相关,队列研究还发现 SB 与 WC、瘦素、C 肽、ApoA1 和低密度脂蛋白呈正相关,与 HDL 呈负相关。
与 SB 相关的大多数研究生物标志物来自心血管或代谢起源。有证据表明 SB 对生物标志物有负面影响,但仍缺乏高质量的研究。需要进行具有客观测量 SB 的纵向研究,以进一步阐明未探索的生物标志物的病理生理途径和可能的关联。