Psychosocial profiles of physical activity fluctuation in office employees: A latent profile analysis

A blended face-to-face and eHealth lifestyle intervention on physical activity, diet, and health outcomes in Hong Kong community-dwelling older adults: a study protocol for a randomized controlled trial

Background

Aging individuals are vulnerable to various Noncommunicable Diseases (NCDs). Different behaviors are closely related to a decreased risk of suffering from NCDs: sufficient Physical Activity (PA) (e.g., at least 150 mins Moderate-to-vigorous Physical Activity (MVPA) per week) and a healthy daily diet (e.g., at least five portions of Fruit and Vegetable Intake (FVI), 5-6 taels (189.0-226.8 g) Meat, Fish, Egg and Alternatives (MFEA)). Traditional face-to-face interventions were effective in behavior change. However, it was revealed to be resource-intensive and limited transfer due to poor self-regulation skills outside of face-to-face sessions. Thus, eHealth could be a supplement for older adults outside traditional face-to-face settings. The blended approach combining these two interventions might optimize the intervention effects on lifestyle behavior initiation and maintenance, but little research can be found among Hong Kong older adults. Therefore, the study aims to test a blended intervention to promote PA, diet, and health outcomes among Hong Kong community-dwelling older adults.

Methods

This study will adopt a 10-week three-arm randomized controlled trial. The blended group will receive weekly (1) two 60-min face-to-face sessions with one for PA and one for diet, and (2) two web-based sessions with one for PA and one for diet. The face-to-face group will receive the same intervention content as the face-to-face sessions in the blended group. The control condition will receive a biweekly telephone call. The outcomes will include MVPA (minutes/week), FVI (portions/day), MFEA consumption (taels/day), social-cognitive factors (self-efficacy, planning, social support, action control), physical health outcomes (clinical indicators, senior physical fitness), mental health outcomes (depression, loneliness) and health-related quality of life. Data collection will be implemented at the pre-test, post-test, and 3-month follow-up test.

Discussion

This is the first study evaluating a blended intervention promoting multiple health behaviors among Hong Kong community-dwelling older adults. If the effect of the blended intervention is superior to the traditional face-to-face group and the control group, it will enrich lifestyle intervention approaches and can be applied to older adults, helping them obtain health benefits. Furthermore, a better understanding of mechanisms will also have implications for theory-building.

Clinical trial registration

https://www.isrctn.com/ISRCTN32329348, ISRCTN32329348.

A Person-Centered Perspective on Physical Activity-Related Barriers Perceived by Male Fluctuators 50 Plus: A Cross-Sectional Study

Men aged 50 or older (50 plus) represent a hard-to-reach target group for health-enhancing physical activity (PA) interventions. However, a considerable percentage of men 50 plus do not entirely fail to achieve the PA milestones set by the World Health Organization (WHO) guidelines. They show fluctuating PA behavior, influenced by various barriers hindering or preventing regular PA participation. As "one-size-fits-all" behavioral change interventions are only partially effective in specific subgroups, it is essential to tailor PA promotion measures to the particular needs of male fluctuators 50 plus. The standardized questionnaire included validated instruments measuring participants' current stage of behavioral change, their perceived barriers to PA, questions on selected psychosocial correlates of PA, and sociodemographic variables. Out of 1,013 participants, 133 men (13.1%) classified themselves as fluctuators. Using a person-centered approach, we formed groups with similar intra-individual relevant barrier profiles using hierarchical cluster analysis (Ward method) followed by k-means clustering. We identified four clusters. Cluster 1 (n = 31) involves men predominantly perceiving physical constraints. Cluster 2 (n = 33) represents men lacking self-motivation and struggling with their weaker selves. Men in Cluster 3 (n = 51) primarily indicate professional and private obligations that prevent them from being physically active. Finally, men in Cluster 4 (n = 18) miss appropriate sports courses that meet their individual needs. Our findings support identifying individually tailored strategies designed to promote regular PA in male fluctuators 50 plus. Further research is required to determine the effectiveness of this approach in improving adherence to PA guidelines and corresponding health-enhancing effects for men 50 plus.

A comprehensive wellness profile in sedentary office employees: Health, musculoskeletal pains, functional capacity, and physical fitness indices

BACKGROUND

One of the most important steps for the successful designing, execution, and sustainability of a workplace wellness program is the evaluation stage.

OBJECTIVES

The purpose of this research was to create a comprehensive wellness profile through selected and reliable testing protocols used for the evaluation of health, functional capacity, and physical fitness in office employees.

METHODS

One hundred office employees (32-55year-old) were evaluated to create a comprehensive wellness profile. Health indices (body composition, blood pressure, respiratory function, lipidemic profile), musculoskeletal pains, functional capacity, physical fitness (cervical, handgrip, back, leg strength, cardiorespiratory fitness), and lifestyle behaviors (physical activity levels, viewing habits, smoking, alcohol consumption) were measured.Thirty of the participants performed two assessment sessions to examine the reliability of functional capacity and physical fitness indices.

RESULTS

A significant proportion of employees were overweight (40.7%) and obese (18.5%). The largest percentage of employees (78%) presented musculoskeletal problems in various areas of the body (higher rates in lower back, neck, and/or hip). A large percentage of the employees (40-65%) showed low-moderate levels in selected indices of health, physical activity (<6000 steps/day), functional capacity and physical fitness, and high levels of unhealthy lifestyle behaviors. The test-retest reliability for the assessment of functional capacity and physical fitness profile was high for all testing variables (ICC = 0.92-0.99;SEM%  = 2.5-4.5).

CONCLUSION

The testing protocols are reliable and can be used in conjunction with the reference values created to evaluate selected health and wellness indicators in office-employees.

Subjective Theories of Chinese Office Workers With Irregular Physical Activity: An Interview-Based Study

Objectives

Individuals with irregular physical activity (PA) participation are defined as fluctuators. This study aimed to comprehend how fluctuators’ perceived barriers and motivators in their subjective theories are exhibited and cognitively represented in relation to their everyday PA practices and lapses.

Methods

The design of “Research Program Subjective Theories” was used to explore and present fluctuators’ cognition concerning PA participation. Thirty fluctuators were invited to a semi-structured interview. By inductive and deductive coding, fluctuators’ verbal data were converted into word categories for extracting commonalities and comparing differences. By retaining the remaining word categories of high frequency and exploring the interrelationships among the remained word categories using statistical analyses, a superstructure (i.e., visualized representation of fluctuators’ overall cognition) including fluctuators’ main PA motivators, barriers, and behavioral outcomes was compiled.

Results

Fluctuators face common motivators as barriers, such as lack of time, lack of willpower, lack of social support, and physical reasons (discomfort, injuries, or diseases). Fluctuators’ subjective theories primarily differed in motivational configurations. The physically motivated fluctuators (i.e., those predominantly motivated by physically related motivators) were more linked with low PA level, while the mixed motivated fluctuators (i.e., motivated by both physically related and emotionally or socially related motivators) were more likely associated with moderate PA level. The exemplars of the three typical fluctuators were also demonstrated to reveal their real experiences and situations in the daily life context.

Conclusion

Due to the fact that fluctuation research is still in its infancy, this study represents a significant opportunity to promote knowledge growth in this area. Future studies are recommended to convert findings of the present study into interventions that benefit fluctuators in overcoming perceived barriers and enhancing motivations to eventually participate in regular PA.

Impact of COVID-19 Stay-at-Home Restrictions on Employment Status, Physical Activity, and Sedentary Behavior

Background. North Americans report insufficient moderate-to-vigorous physical activity (MVPA) and ample sedentary behaviors (SBs), suggesting possible barriers to an active lifestyle. This study compared self-reported MVPA and SB before and during COVID-19 “Stay-at-Home” restrictions as a potential barrier across North America. Methods: Questionnaires were distributed from 21 April to 9 May 2020. ANOVAs compared data overall and by group (age, sex, race, income, education, employment status). Results: During restrictions, 51.4% (n = 687) of the 1336 responses (991 female, 1187 Caucasian, 634 18–29 years) shifted to work from home and 12.1% (n = 162) lost their job. Overall, during restrictions, 8.3% (n = 110) fewer reported work-related MVPA (−178.6 ± 20.9 min/week). Similarly, 28.0% (n = 374) fewer reported travel-related MVPA, especially females and younger age groups. While the 7.3% (n = 98) fewer reporting recreational MVPA was not statistically significant (−30.4 ± 11.5 min/week), there was an increase in SB (+94.9 ± 4.1 min/week) in all groups, except the oldest age group (70+ years). Locomotive activities and fitness class remained the predominant MVPA mode. Of those reportedly using facilities (68%; n = 709) before COVID, 31.3% (n = 418) would not return due to it “being unsafe”. Conclusion: While barriers related to pandemic restrictions had a negative short-term impact on MVPA and SB in North America, the long-term impact is unknown.

Clustering of Modifiable Behavioral Risk Factors and Their Association with All-Cause Mortality in Taiwan's Adult Population: a Latent Class Analysis

Background

Modifiable risk behaviors, such as smoking, diet, alcohol consumption, physical activity, and sleep, are known to impact health. This study aims toward identifying latent classes of unhealthy lifestyle behavior, exploring the correlations between sociodemographic factors, identifying classes, and further assessing the associations between identified latent classes and all-cause mortality.

Methods

For this study, the data were obtained from a prospective cohort study in Taiwan. The participants’ self-reported demographic and behavioral characteristics (smoking, physical activity, alcohol consumption, fruit and vegetable intake, and sleep) were used. Latent class analysis was used to identify health-behavior patterns, and Cox proportional hazard regression analysis was used to find the association between the latent class of health-behavior and all-cause mortality.

Results

A complete dataset was obtained from 290,279 participants with a mean age of 40 (12.4). Seven latent classes were identified, characterized as having a 100% likelihood of at least one unhealthy behavior coupled with the probability of having the other four unhealthy risk behaviors. This study also shows that latent health-behavior classes are associated with mortality, suggesting that they are representative of a healthy lifestyle. Finally, it appeared that multiple risk behaviors were more prevalent in younger men and individuals with low socioeconomic status.

Conclusions

There was a clear clustering pattern of modifiable risk behaviors among the adults under consideration, where the risk of mortality increased with increases in unhealthy behavior. Our findings can be used to design customized disease prevention programs targeting specific populations and corresponding profiles identified in the latent class analysis.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12529-021-10041-x.