| Literature DB >> 26088005 |
Megan Teychenne1, Sarah A Costigan2, Kate Parker3.
Abstract
BACKGROUND: Previous research has linked sedentary behaviour (SB) to adverse physical health outcomes in adults and youth. Although evidence for the relationship between SB and mental health outcomes (e.g., depression) is emerging, little is known regarding risk of anxiety.Entities:
Mesh:
Year: 2015 PMID: 26088005 PMCID: PMC4474345 DOI: 10.1186/s12889-015-1843-x
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Flow of study selection through the phases of the review
Studies investigating the association between sedentary behaviour and anxiety risk
| Paper | Study details | Domain | Anxiety indicator | Sedentary behaviour indicator | Association | Methodological quality score |
|---|---|---|---|---|---|---|
| Cao et al. (2011) China [ | Cross sectional | Leisure time | The 41-item Screen | Self report open ended question regarding TV & computer use (hrs per day) | + | Strong |
| for Child Anxiety Related Emotional Disorders (SCARED) | ||||||
| 5003 junior high school students (11–16 years) | ||||||
| de Wit et al. (2011) The Netherlands [ | Cross sectional | Leisure time | Composite International Diagnostic Interview (CIDI, WHO version 2.1) | Self report TV & computer use in leisure time | Total screen = + | Weak |
| 2353 (1701 with current diagnosis, 652 controls) adults aged 18-65 | ||||||
| TV = + | ||||||
| Computer = 0 | ||||||
| Granner et al. (2010) USA [ | Cross sectional | Total daily - including occupational, leisure time, and travel | Question from Behavioral Risk Factor Surveillance Survey asking “number of days last month felt worried, tense, anxious” | Self report TV, and sitting away from home, at work, drive, and at work (data from Nurses Health Study) | TV = + | Weak |
| 189 African American and Caucasian adult women aged 18–60 yrs | ||||||
| Total sitting = 0 | ||||||
| Griffiths et al. (2010) UK [ | Cross sectional | Leisure time | Strengths and Difficulties Questionnaire (SDQ) | Proxy report of TV, computer use, and electronic games | Girls = − | Moderate |
| 13,470 5 yr old children | Boys = 0 | |||||
| Kilpatrick et al. (2013) Australia [ | Cross sectional | Occupational | Kessler Psychological Distress Scale (K10) | Self report modified from IPAQ for occupational sitting time | + | Moderate |
| 3367 state government adult employees (mean age 46.2 yrs) | ||||||
| Rebar et al. (2014) Australia [ | Cross sectional | Total daily – including occupational, leisure time, and travel | 21-item depression, anxiety, and stress scale | Self report 10-item Workforce Sitting | Total SB = + | Moderate |
| Computer = + | ||||||
| 1104 Australian adults (mean age 58 years) | ||||||
| Questionnaire | Transport SB = + | |||||
| Work sitting = 0 | ||||||
| Leisure sitting = 0TV = 0 | ||||||
| Sanchez-Villegas et al. (2008) Spain [ | Longitudinal | Leisure time | Participants were asked: Have | Self report sedentary index (TV & computer use) | 0 | Moderate |
| 10,381 adult University graduates | ||||||
| you ever been diagnosed of anxiety by a health | ||||||
| (7991 with data on SB) | ||||||
| professional? | ||||||
| Sloan et al. (2013) Singapore [ | Cross sectional | Total daily - including occupational, leisure time, and travel | General Health Questionnaire-12 (GHQ-12) | Self report global physical activity questionnaire (daily sitting time) | + | Moderate |
| 4337 Singapore citizens aged 18–79 yrs | ||||||
| Uijtdewilligen et al. (2011) The Netherlands [ | Longitudinal | Total daily - including all domains | Achievement Motivation Test (AMT) assessed achievement motivation, facilitating anxiety, debilitating anxiety, and social desirability | Objective data using accelerometers (total sedentary time) | + | Weak |
| 217 participants followed from adolescence to adulthood (age 13 to 42 years) |