Original studies |
Assessment of SB |
Van Cauwenberg et al. (2014b) |
n = 508 |
Both |
Validity for older adults’ self-reported total sitting time against accelerometer-derived sedentary time was not strong, but comparable to previous studies |
Aguilar-Farías et al. (2014) |
n = 37 |
Objective |
The results suggest that cut-points are dependent on unit of analyses (i.e. epoch length and axes); cut-points for a given epoch length and axis cannot simply be extrapolated to other epoch lengths |
Hekler et al. (2012) |
n = 870 |
Both |
CHAMPS items effectively measured high-light, total activity, and MVPA in seniors, but further refinement is needed for sedentary and low-light activity |
van Uffelen et al. (2011) |
n = 55 |
Subjective |
The accuracy of older adults’ self-reported sitting time is questionable given the challenges they have in answering sitting-time questions |
Gardiner et al. (2011a) |
n = 48 |
Both |
The summary measure of total sedentary time has good repeatability and modest validity and is sufficiently responsive to change suggesting that it is suitable for use in interventions with older adults |
Prevalence and types of SB |
Shiroma et al. (2013) |
n = 7247 |
Objective |
Older women spent about two-thirds of waking time in SB, most of which occurred in bouts lasting less than 30 min |
Arnardottir et al. (2013) |
n = 579 |
Objective |
Sedentary time is high in Icelandic older adults who have high life-expectancy and live north of 60° northern latitude, while PA declines with increasing age and body mass index. Women spend more time in low-light PA, but less in MVPA than men |
Evenson et al. (2014) |
n = 760 |
Objective |
The New York sample spent a longer proportion of time in SB and light activities, but more time in MVPA than the country sample. Urbanicity may explain these differences |
Evenson et al. (2012) |
n = 2630 |
Objective |
MVPA estimates vary among adults aged 60 or older, depending on the cut point chosen, and most of their time is spent in SBs |
Lord et al. (2011) |
n = 56 |
Objective |
Walking, sedentary and transitory behaviours are distinct from each other, and together explain daily function |
Jefferis et al. (2015a) |
n = 1419 |
Objective |
Among older adults, the steep decline in total PA occurred due to reductions in MVPA whilst light PA is relatively spared and sedentary time and long sedentary bouts increase |
Health impact of SB—Musculoskeletal health & functional fitness |
Mitchell et al. (2015) |
n = 5681 |
Subjective |
SB was identified as mediator for the association between obesity and falls in community living older people |
Gianoudis et al. (2015) |
n = 162 |
Subjective |
Higher levels of SB in older adults were associated with reduced muscle mass and an increased risk of sarcopenia in community-dwelling older adults, independent of PA |
Dunlop et al. (2015) |
n = 2286 |
Objective |
These U.S. national data show a strong relationship between greater time spent in SB and the presence of ADL disability, independent of time spent in moderate or vigorous activity |
Santos et al. (2012) |
n = 312 |
Objective |
Elderly who spend more time in PA or less time in SBs exhibit improved functional fitness and other confounders |
Chastin et al. (2012) |
n = 30 |
Objective |
The pattern of SB accumulation varies between older adults and is associated with muscle quality and adiposity |
Cawthon et al. (2013) |
n = 1983 |
Objective |
Older men with lower total energy expenditure, lower moderate activity, or greater sedentary time were more likely to develop a functional limitation |
Health impact of SB—Cardio metabolic health & mortality |
Ensrud et al. (2014) |
n = 2918 |
Objective |
In older men exceeding current guidelines on PA, greater time spent in SB is associated with increased mortality risk |
Chase et al. (2014) |
n = 54 |
Objective |
SB is associated with an adverse metabolic effect on low-density lipoprotein in seniors, even those who meet guideline recommendations for an active ‘fit’ adult |
Gennuso et al. (2013) |
n = 1914 |
Objective |
The results suggest that sufficient MVPA did not ameliorate the negative associations between SB and cardio metabolic risk factors or functional limitations in the current sample |
Inoue et al. (2012) |
n = 1806 |
Subjective |
Spending less time watching TV, a predominant SB, was associated with lower risk of being overweight or obese, independent of meeting PA guidelines |
Stamatakis et al. (2012) |
n = 2765 |
Both |
SB is associated with cardio metabolic risk factors, but the associations are more consistent when it is measured by self-report that includes TV viewing |
Gardiner et al. (2011c) |
n = 1958 |
Subjective |
High levels of SB were associated with greater prevalence of the metabolic syndrome |
Bankoski et al. (2011) |
n = 1367 |
Objective |
The proportion of sedentary time was strongly related to metabolic risk, independent of PA |
Gao et al. (2007) |
n = 455 |
Subjective |
A high prevalence of the metabolic syndrome in a representative sample of Caribbean-origin Hispanic elders was associated with prolonged television viewing, independent of PA and energy intake |
León-Muñoz et al. (2013) |
n = 2635 |
Subjective |
Compared with consistently sedentary older adults, consistently non-sedentary individuals showed reduced all-cause mortality. Individuals who changed sitting time experienced an intermediate reduction in mortality |
Pavey et al. (2015) |
n = 6656 |
Subjective |
Prolonged sitting-time was positively associated with all-cause mortality. Women who reported sitting for more than 8 h/day and did not meet PA guidelines had an increased risk of dying within the next 9 years |
Gómez-Cabello et al. (2012) |
n = 3136 |
Subjective |
Sitting time increases the risk of overweight-obesity and overfat in women and the risk of central obesity in men, independently of walking time |
Health impact of SB—Other (health) outcomes & quality of life |
Withall et al. (2014) |
n = 228 |
Objective |
Steps, MVPA and lower limb function were independently and moderately positively associated with perceived physical well-being but relationships with mental well-being variables were weak. No significant associations between SBs and well-being were observed |
Balboa-Castillo et al. (2011) |
n = 1097 |
Subjective |
Greater leisure-time PA and less leisure-time SB were independently associated with better long-term health-related QoL in older adults |
Vance et al. (2008) |
n = 158 |
Subjective |
Partial support was found for PA to improve and SB to worsen cognitive health |
Verghese et al. (2003) |
n = 469 |
Subjective |
Participation in certain seated leisure activities (like reading or playing board games) is associated with a reduced risk of dementia, even after adjustment for base-line cognitive status and after the exclusion of subjects with possible preclinical dementia |
Strategies to counteract the health effects of SB |
Meneguci et al. (2015) |
n = 3296 |
Subjective |
Socio-demographic, clinical, and health behaviour factors are associated with high sitting time in older adults from South-eastern Brazil |
Sardinha et al. (2015) |
n = 215 |
Objective |
Breaking-up sedentary time is associated with better physical function in older adults; and, it may have an important place in future guidelines on preserving older adults’ physical function to support ADL |
Gardner et al. (2014) |
n = 120 |
Both |
N/a |
Chastin et al. (2014b) |
n = 11 |
Subjective |
Older adults consider self-efficacy, functional limitations, ageist stereotyping, locus of control, and pain as determinants of their SB |
van der Berg et al. (2014) |
n = 565 |
Objective |
Some demographic, socioeconomic, and biomedical determinants in midlife were associated with considerably more sedentary time per day in old age |
Van Cauwenberg et al. (2014a) |
n = 50,986 |
Subjective |
There is a cross-sectional link between older adults’ television viewing time and social composition of their neighbourhood, formal participation, access to alternative activities, and safety from crime |
Fitzsimons et al. (2013) |
n = 24 |
Both |
A consultation approach may help individuals reduce time spent in SBs |
Davis et al. (2014) |
n = 217 |
Objective |
Promoting regular breaks in sedentary time might be useful in maintaining or increasing lower extremity function and later life independence |
Kikuchi et al. (2013) |
n = 1665 |
Subjective |
Particular socio-demographic and behavioural characteristics related to TV time among Japanese older adults have been identified, but they differ by gender |
Gardiner et al. (2011b)
|
n = 59 |
Objective |
Sedentary time in older adults can be reduced following a brief intervention based on goal setting and behavioural self-monitoring |
Nicklas et al. (2014) |
n = 48 |
Objective |
Self-monitoring of spontaneous PA and SB enhanced successful maintenance of lost weight |
Uffelen et al. (2012) |
n = 6116 |
Subjective |
It is suggested that older women with a high health risk profile and social risk profile may particularly benefit from interventions to promote both reducing sitting time and increasing PA or at least light activities |
Dogra and Stathokostas (2014) |
n = 14,560 |
Subjective |
Several specific correlates of extended sitting time were identified; these findings have implications for public health strategies targeting older adults |