The relationship between occupational physical activity and self-reported vs measured total physical activity

Domain matters: An examination of college student physical activity participation patterns by gender and race/ethnicity

BACKGROUND

Physical activity (PA) consists of multiple domains, including leisure-time PA (LTPA), occupational PA (OPA), and transportation PA (TPA), though limited research has examined these domains among college students.

METHODS

This cross sectional, online survey asked undergraduate students to self-report demographics (gender, race/ethnicity, employment) and PA (LTPA, TPA, and OPA). Participants were categorized as meeting/not meeting current aerobic PA recommendations with only LTPA and with all domains of PA. Analyses examined differences by domain and demographics.

RESULTS

For participants (n = 3732) when only considering LTPA, 79% met recommendations, while considering all forms of PA resulted in 94% of students meeting recommendations. Gender and race/ethnicity differences in the odds of meeting PA recommendations were present with only LTPA, however when considering all PA domains, some disparities were no longer present.

CONCLUSIONS

These findings highlight how different domains of activity contribute to overall PA and the relationship with gender and race/ethnicity.

Occupational Physical Activity and Cardiometabolic Risk Factors: A Cross-Sectional Study

Contradictory data exist on the impact of occupational physical activity (OPA) on cardiovascular health. We aimed to evaluate the association between OPA and cardiometabolic risk factors. A cross-sectional study was performed in an environmental services company in 2017 (Spain). OPA was classified by work categories as being low (≤3 METs) or moderate−high (>3 METs). Multiple linear and logistic binary regression models were used to assess the associations between OPA and cardiometabolic risk factors related to obesity, blood pressure, blood lipids, and associated medical conditions, adjusted by age, sex, alcohol consumption, and global physical activity. In total, 751 employees were included (547 males and 204 females), and 55.5% (n = 417) had moderate−high OPA. Significant inverse associations were observed between OPA and weight, body mass index, waist circumference, waist−hip ratio, and total cholesterol both overall and in males. OPA was significantly inversely related to dyslipidemia overall and in both sexes, while the overweight plus obesity rate was inversely related only in the total and male populations. OPA was associated with a better cardiometabolic risk factor profile, particularly in males. The fact that our models were also adjusted by global physical activity highlights the associations obtained as being independent of leisure time physical activity effects.

Physical Activity in Malaysia: Are We Doing Enough? Findings from the REDISCOVER Study

Physical activity (PA) in the form of structured or unstructured exercise is beneficial for health. This paper aims to study PA levels across four domains according to the International Physical Activity Questionnaire (IPAQ) and its associated factors. A total of 7479 Malaysian adult participants between 18 to 90 years old from the REDISCOVER study who completed the IPAQ were analyzed. PA was calculated as MET-min per week and were categorized according to insufficiently active, sufficiently active and very active. Multinomial regression was used to determine the association between sociodemographic, clinical factors and the level of PA. The mean age of the participants was 51.68 (±9.5 SD). The total reported physical activity in median (IQR) was 1584.0 (0-5637.3) MET-min per week. The highest total for PA was in the domestic domain which is 490 (0-2400) MET-min per week. Factors associated with sufficiently active or very active PA include Malay ethnicity, no formal education, elementary occupation, current smokers and high HDL. Whereas low income, male and normal BMI are less likely to participate in sufficiently active or very active PA. Intervention to encourage higher PA levels in all domains is important to achieve recommended PA targets.

Historical development of accelerometry measures and methods for physical activity and sedentary behavior research worldwide: A scoping review of observational studies of adults

This scoping review identified observational studies of adults that utilized accelerometry to assess physical activity and sedentary behavior. Key elements on accelerometry data collection were abstracted to describe current practices and completeness of reporting. We searched three databases (PubMed, Web of Science, and SPORTDiscus) on June 1, 2021 for articles published up to that date. We included studies of non-institutionalized adults with an analytic sample size of at least 500. The search returned 5686 unique records. After reviewing 1027 full-text publications, we identified and abstracted accelerometry characteristics on 155 unique observational studies (154 cross-sectional/cohort studies and 1 case control study). The countries with the highest number of studies included the United States, the United Kingdom, and Japan. Fewer studies were identified from the continent of Africa. Five of these studies were distributed donor studies, where participants connected their devices to an application and voluntarily shared data with researchers. Data collection occurred between 1999 to 2019. Most studies used one accelerometer (94.2%), but 8 studies (5.2%) used 2 accelerometers and 1 study (0.6%) used 4 accelerometers. Accelerometers were more commonly worn on the hip (48.4%) as compared to the wrist (22.3%), thigh (5.4%), other locations (14.9%), or not reported (9.0%). Overall, 12.7% of the accelerometers collected raw accelerations and 44.6% were worn for 24 hours/day throughout the collection period. The review identified 155 observational studies of adults that collected accelerometry, utilizing a wide range of accelerometer data processing methods. Researchers inconsistently reported key aspects of the process from collection to analysis, which needs addressing to support accurate comparisons across studies.

Gender and race/ethnicity differences in occupational activity among students

Occupational physical activity (OPA) is related to positive health outcomes and meeting overall physical activity recommendations. OPA participation typically varies across racial/ethnic groups and by gender, though little research has examined differences in OPA among college students. A cross-sectional, online survey of college students examined demographics and OPA. Participants (n = 3739) were predominately Non-Hispanic White (77.1%) and female (57.8%) aged 20.97 ± 1.52. Employed students reported greater total PA compared with non-employed students. Males reported significantly greater vigorous OPA, overall OPA, and total PA compared with females. Among employed students, OPA contributed significantly to overall PA levels. Males reported significantly greater OPA compared with females and there were several significant differences by race/ethnicity. Academic performance was related to OPA. These findings provide some insight on the OPA levels of a population group that has not been thoroughly examined.

Occupational determinants of physical activity at work: Evidence from wearable accelerometer in 2005-2006 NHANES

Occupation determines workers' physical activity (PA) in the workplace, an important health behavior contributing to health outcomes. However, self-reported measure limits our understanding of how occupational tasks differentiate workers' PA in terms of the type, frequency, intensity, and duration. In addition, accurate estimation of occupation-based PA during workers' actual working hours requires precise work schedule information. To address these limitations, this study employs data on accelerometer-monitored PA and work schedule from the 2005-2006 National Health and Nutrition Examination Survey (NHANES). It asks two questions: How do occupations determine PA among regular daytime workers in the United States? Second, how large a share of PA difference between two occupations is attributable to differences in the implicit occupational tasks, relative to workers' demographic, health preconditions, and socioeconomic attributes? Calculating PA during the 9-to-5 period among daytime regular workers on weekdays and conducting Blinder-Oaxaca decomposition analysis, we yield insights into the occupational determinant of both PA volume (total activity counts) and fragmentation (bouts of activities). Worksite health promotion can utilize the objective occupation-PA link and design occupation-tailored interventions, which is currently underdeveloped in the United States. Moreover, our findings shed light on the physical nature of occupation, suggesting a fruitful step to reconcile the documented mixed findings on occupation-based PA and health outcomes in future studies.