SMART STEP - SMARTphone-driven exercise and pedometer-based STEP intervention to promote physical activity among desk-based employees: Study protocol for a three-arm cluster randomized controlled trial

"Balancing work and movement": barriers and enablers for being physically active at Indian workplaces - findings from SMART STEP trial

BACKGROUND

Non-communicable diseases are rising rapidly in low- and middle-income countries, leading to increased morbidity and mortality. Reducing sedentary behavior (SB) and increasing physical activity (PA) offer numerous health benefits. Workplaces provide an ideal setting for promoting SB/PA interventions; however, understanding the barriers and enablers is crucial for optimizing these interventions in workplace environments.

METHODS

Nested within a cluster randomised controlled trial (the SMART-STEP trial), the present study employed in-depth interviews with 16 office workers who have completed 24 weeks of two distinct (technology assisted and traditional) workplace SB/PA interventions. Using a deductive analysis, semi-structured interviews were administered to explore the barriers and enablers to the SB/PA interventions at individual, interpersonal and organisational level using the socio-ecological model.

RESULTS

Several individual (poor goal setting, perceived health benefits & workload, attitude, intervention engagement), interpersonal (lack of peer support) and organisational (task prioritisation, lack of organisational norm and material or social reward) barriers were identified. Indian women engaged in desk-based office jobs often find themselves burdened with intense home and childcare responsibilities, often without sufficient support from their spouses. A primary concern among Indian office workers is the poor awareness and absence of cultural norms regarding the health risks associated with SB.

CONCLUSIONS

Raising awareness among workplace stakeholders-including office workers, peers, and the organization-is crucial before designing and implementing SB/PA interventions in Indian workspaces. Personalized interventions for Indian female office workers engaged in desk-bound work are warranted.

Association of accelerometer measured sedentary behavior patterns with cognitive functions in sedentary office workers: Insights from SMART-STEP study

BACKGROUND

High levels of sedentary behavior in workplaces are currently recognized as an independent risk factor for cognitive dysfunction and poor mental health. However, sedentary patterns vary between workdays and non-workdays, which may influence cognitive functions.

OBJECTIVE

The present study aimed to quantify and compare work and nonwork device-measured sedentary time (ST) and its association with cognitive function in Indian office workers.

METHODS

In an ongoing randomized controlled trial (SMART-STEP), the baseline data of 136 full-time office workers, including accelerometer-measured sedentary patterns and cognitive functions, were analyzed. The ST was measured using a hip-worn accelerometer (Actigraph wGT3X-BT) for seven days, and executive functions were measured using computer-based tests. Linear regression models were employed to analyze the relationships between ST and executive function measures.

RESULTS

The median daily ST of Indian office workers was 11.41 hours. The ST was greater on both workdays (11.43 hrs.) and non-workdays (11.14 hrs.) though different (F = 6.76, p = 0.001, ηp2 = 0.032). Office workers accumulate more prolonged sitting bouts (+21.36 min) during work days than non-workdays. No associations between device-measured ST and executive functions were observed.

CONCLUSION

Indian office workers exhibited high ST patterns, especially on workdays. Although lower than workdays, Indian office workers exhibited more ST patterns during non-workdays than did their Western counterparts. Culturally adaptable workplace and leisure time physical activity interventions are needed to address the high ST of Indian office workers.

Do energy expenditure differences across work postures influence cognitive processing speed? A counter-balanced randomised cross-over trial

BACKGROUND

Anecdotal evidence links occupational sedentary behaviour, low energy expenditure (EE) and cognitive dysfunction. Nevertheless, EE across different work postures including active workstations remains unclear and its influence on cognitive processing speed is yet to be established.

OBJECTIVE

We aimed to investigate differences in EE across various work postures and its influence on cognitive processing speed.

METHODS

Sixteen desk-based employees performed simulated work tasks (typing, reading and cognitive tasks) in three different work positions (sitting, standing, and walking) in three different days. EE was measured for three days consecutively for 30-minutes in three simulated working postures using indirect calorimetry. Cognitive processing speed was assessed through computer-based choice reaction times during each work posture. The outcome variables of interest (EE, reaction times and accuracy) were compared between three work postures using repeated measures ANOVA and Pearson correlation.

RESULTS

EE in walking posture was higher (5.57±0.45 Kcal) than sitting (1.07±0.12 Kcal) and standing (1.88±0.42 Kcal). Total EE was significantly higher in walking than standing (35.17±6.86 Kcal) and sitting postures (41.37±8.46 Kcal). We did not find any significant differences in cognitive processing speed between different work postures except within standing work condition (60.22±13.97 ms). Accuracy was found to be reduced in walking compared to sitting (0.76±0.83%) and standing (0.43±0.09%) but not reached significance.

CONCLUSION

Although significant differences in EE were observed between work postures, walking or standing at work did not affect the cognitive processing speed.

Assessment of food environment at work and its association with cardiometabolic health among employed adults in Delhi, India

BACKGROUND AND AIMS

Unhealthy food environment at work is believed to be playing a role in the burgeoning obesity, cardiometabolic risk, diabetes and cardiovascular diseases in India. Therefore, food environment assessment at work is crucial to understand the effect of food environment and to find its association with cardiometabolic risk among adults in Delhi, India.

METHODOLOGY

Mix-methods study to find association between worksite food environment on the food choices, dietary behavior, and cardio-metabolic health of 455 apparently healthy adults (both males and females) aged 25-55 years was done in urban India.

RESULTS

Unhealthy food environment, poor eating pattern and sedentary lifestyle at work resulted in clustering of CMR factors among the study participants. Work environment assessment revealed that worksites with canteens had higher overall CHEW score for all its domains (Physical, nutritional, and information environment), in comparison to worksites without or no canteens. Four out of ten apparently healthy adults had metabolic syndrome indicating poor cardiometabolic health. The odds of CMR in subjects with access to canteen (unhealthy food) were estimated to be 0.74 (CI: 0.51 to 1.07; p = 0.11) times the odds of CMR in subjects without canteen (limited access to food). Females (β:0.34; 95% CI:0.23, 0.44; p = 0.00) had high CMR factors in comparison to males. Overall cardiometabolic risk factors increased with age (β:0.01; 95% CI:0.01,0.01; p = 0.00).

CONCLUSION

Findings of the present study urge the need for dietary and lifestyle intervention along with longitudinal studies to further disentangle the association of the food and work environment on the prevalence of CMR among adults.

Impact of Working from Home on Cardiovascular Health: An Emerging Issue with the COVID-19 Pandemic

Mandatory working from home is one of the consequences of the COVID-19 pandemic for a large number of workers. Transition to working from home may significantly impact lifestyle, psychosocial status, and the overall health of workers. This review summarizes available data about the effects of lockdown measures, particularly working from home, on cardiovascular risk factors including sedentary lifestyle, unhealthy diet pattern, psychological distress, smoking, alcohol misuse, and cardiometabolic parameters. Finally, we suggest countermeasures that can attenuate the negative health impact of working from home. Indeed, timely and tailored interventions implemented by companies in cooperation with the health care system could allow workers to benefit more from some of the advantages associated with working from home.