UK university staff experience high levels of sedentary behaviour during work and leisure time

Faghy, Mark A; Duncan, Michael; Pringle, Andy; Meharry, J Buchanen; Roscoe, Clare M. P.

doi:10.1080/10803548.2021.1874704

Cited by 15 publications

(14 citation statements)

References 30 publications

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“…The fact that sedentary behavior occurred more often in leisure time than at work, which is consistent with previous studies ( 12 , 14 ). This might be due to the increased TV viewing, computer use, video games, and social media engagements which has become more common these days ( 38 ).…”

Section: Discussionsupporting

confidence: 93%

“…Sedentary behavior has an important implication on the health status of working adults ( 9 ). Evidence shows that white collar workers such as university employees accumulate a high sedentary time at workplaces ( 10 ), which often extends to outside normal working hours ( 11 , 12 ). Studies have shown that university workers spend over two-thirds of their workday sitting ( 9 , 13 , 14 ).…”

Section: Introductionmentioning

confidence: 99%

“…Evidence indicates that occupational sedentary behavior was not significantly associated with productivity ( 9 ); however, employees with increased sedentary behavior were more prone to illnesses such as back pain, mental health, diabetes, and cardiovascular diseases, which indirectly can influence productivity at work ( 12 , 18 ). Generally, high sedentary behavior is one of the modifiable risk factors contributing to premature mortality among adults in low-income countries ( 6 , 19 ), although sedentarism is still is relatively low in the general population compared with higher-income countries ( 20 ).…”

Section: Introductionmentioning

confidence: 99%

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Sedentary Behavior and Associated Factors Among Working Adults in Eastern Ethiopia

Motuma

Gobena

Roba

et al. 2021

Front. Public Health

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Background: Sedentary behavior is a major risk factor for non-communicable diseases. Due to changes in lifestyle, sedentary behavior is increasing in sub-Saharan Africa. However, information on the extent of sedentarism among various segments of the population is scant in low-income countries. The objective of this study was to assess the extent of high sedentary behavior and associated factors among working adults in eastern Ethiopia.Methods: A crosssectional study was conducted among 1,164 working adults at Haramaya University from December 2018 to February 2019. Data were collected through face-to-face interviews using the WHO STEPS and sedentary behavior questionnaire. All reported sedentary activities were added to calculate the total number of hours spent on sedentary behavior, which was then dichotomized into two categories. Those who had ≥8 sedentary hours per day were categorized as having high sedentary behavior. The prevalence ratio (PR) with 95% confidence intervals (CIs) was calculated. Factors associated with outcome variables were identified using Poisson regression with a robust variance statistical model.Results: The prevalence of high sedentary behavior was 20.3% (95% CI, 18.0–22.7%) among the study participants. The prevalence of high sedentary behavior was associated with age 45–54 years adjusted PR (APR: 2.00; 95% CI = 1.01–3.97) and 55–64 years (APR: 2.16; 95% CI = 1.03–4.57), being a non-manual worker (APR: 2.11; 95% CI = 1.46–3.05), frequent khat chewers (APR: 1.57; 95% CI = 1.22–2.01), with body mass index of ≥25 kg/m2 (APR: 1.93; 95% CI = 1.53–2.44), and regular alcohol drinker (APR: 1.39; 95% CI = 1.11–1.76).Conclusion: One-fifth of working adults had high sedentary behavior. Factors associated with high sedentary behaviors were older age, being a non-manual worker, substance-use behaviors, and having a high body mass index.

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Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sedentary Behavior and Associated Factors Among Working Adults in Eastern Ethiopia

Motuma

Gobena

Roba

et al. 2021

Front. Public Health

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“…The majority of working adults waking time is spent being sedentary 1 . Sedentary behavior refers to an energy expenditure ≤1.5 metabolic equivalents while in a sitting or reclining posture during waking hours and not simply the absence of physical activity 2 .…”

Section: Introductionmentioning

confidence: 99%

Long sedentary time is associated with worsened cardiometabolic risk markers among working adults in Eastern Ethiopia

Motuma

Gobena

Roba

et al. 2022

Preprint

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This study aimed to examine the associations of sedentary time and cardiometabolic risk markers among working adults in Eastern Ethiopia. A cross-sectional study was conducted among 1,200 participants. Data were collected using the World Health Organization NCD STEPS survey instrument, and the sedentary behavior questionnaire. The biochemical parameters were analyzed by using the Mindray BS-200 chemistry analyzer. STATA version 16.1 software was used for analysis. The associations between sedentary time and cardiometabolic risk markers controlling confounders were examined using linear regression models. An adjusted coefficient (β) with the 95% confidence interval (CI) was used to report the results. P-value < 0.05 was considered for statistical significance. One hour per day increases in total sedentary time increases the average body mass index (β = 0.61kg/m2: 95% CI: 0.49, 0.71), waist circumference (β = 1.48cm: 95% CI:1.14-1.82), diastolic blood pressure (β = 0.87mmHg: 95% CI: 0.56-1.18), systolic blood pressure (β = 0.95mmHg: 95% CI: 0.45, 1.48), triglycerides (β = 7.07mg/dl: 95% CI: 4.01-10.14), total cholesterol (β = 3.52mg/dl: 95% CI: 2.02-5.02), fasting plasma glucose (β = 4.15mg/dl: 95% CI: 5.31-4.98) and low-density lipoprotein cholesterol (β = 2.14mg/dl: 95% CI: 0.96-3.33). Long sedentary time is significantly associated with cardiometabolic risk markers. Interventions to reduce sedentary time to decreasing the risk of cardiovascular diseases among working adults.

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“…engaging is insu cient amount of PA) is becoming more prevalent in occupational settings due to advancements in technology and a shift towards less physically demanding jobs [6]. Occupational settings such as Universities are unique settings to promote PA engagement because of the different roles for staff., Speci c job roles may be subject to different guidelines as regards work-associated movement, such as being wholly desk-based [7]. The university setting also provides group support, existing structures of formal and informal interactions between staff and students, accessibility to staff and students and prospective shared behavioural standards, and easy access to onsite facilities and existing frameworks that can easily be enhanced to include staff, which are not typical in other places of employment.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Predictors of Physical Inactivity in a University Setting

Ndupu

Faghy

Staples

et al. 2022

Preprint

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Background: Changes in lifestyle patterns and the dependence on technology have contributed to an increase in prevalence of inactivity. To address this there is a need to identify the predictors of physical inactivity using the Theoretical Domains Framework (TDF). Methods: One hundred and twenty-one university administrative staff and 114 PhD students completed a survey. Physical activity (PA) levels were assessed using the Global Physical Activity Questionnaire (GPAQ), with participants scoring below 600 MET-minutes/week of total PA regarded as inactive. The predictors of physical inactivity were assessed using the Determinants of Physical Activity Questionnaire (DPAQ). Multiple regression analyses were used to identify which domains of the TDF predicted physical inactivity in the study samples.Results: The results indicated that 64% of administrative staff (Mean= 411.3 ± 118.3 MET-minutes/week of total PA) and 62% of PhD students (Mean= 405.8 ± 111.0 MET-minutes/week of total PA) did not achieve the recommended PA levels. The physical skills domain (t 106 = 2.198, p=0.030) was the significant predictor of physical inactivity amongst the administrative staff. Knowledge (t 99 = 2.018, p=.046) and intentions (t 99 = 4.240), p=0.001) domains were the significant predictors of physical inactivity amongst PhD students. Conclusions: The results of this study should be used as a theoretical starting point in carrying out behavioural diagnosis, which could inform the design of effective interventions to increase PA levels in universities and other settings.

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UK university staff experience high levels of sedentary behaviour during work and leisure time

Cited by 15 publications

References 30 publications

Sedentary Behavior and Associated Factors Among Working Adults in Eastern Ethiopia

Sedentary Behavior and Associated Factors Among Working Adults in Eastern Ethiopia

Long sedentary time is associated with worsened cardiometabolic risk markers among working adults in Eastern Ethiopia

Exploring the Predictors of Physical Inactivity in a University Setting

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