Employee Wellness Pilot Program

Kirk, Michelle

doi:10.1177/2165079920976522

Cited by 5 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar to all good measures, the ProQOL has been extensively critiqued; recent scholars evaluating the measure call into question its construct and discriminant validity (Geoffrion et al, 2019; Stamm et al, 2012; Vang et al, 2020). Nevertheless, its continued utility across multiple disciplines remains patent in extant research (Buselli et al, 2020; Van Kirk, 2021; Wolf et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Examining the relationship between self-care and compassion fatigue in mental health professionals: A critical review.

Rivera-Kloeppel¹,

Mendenhall²

2023

Traumatology

View full text Add to dashboard Cite

Mental health providers represent one of the highest risk groups in health care for compassion fatigue. As we work to understand how self-care can be adapted, used, and practiced effectively by counselors, psychologists, family therapists, and other like-minded healers, it is important that we improve the quality, complexity, and sophistication of the scholarship we conduct. This critical review examines 9 articles published between 2005 and 2019. Selection criteria included the following: (a) studies were empirical/peer-reviewed, (b) samples engaged were composed of mental health professionals, and (c) investigative foci targeted the relationship(s) between self-care and compassion fatigue. Analysis revealed a lack of cohesive theory, limited sample designs, inconsistent measurement, underpowered analyses, and disorganized results. Implications for supportive clinical and policy practices, alongside responsive calls for future scholars, are put forth in conclusion.

show abstract

Section: Discussionmentioning

confidence: 99%

Examining the relationship between self-care and compassion fatigue in mental health professionals: A critical review.

Rivera-Kloeppel¹,

Mendenhall²

2023

Traumatology

View full text Add to dashboard Cite

show abstract

“…Governments often implement health promotion programs to promote public health. In this regard, the community dwellers’ workplaces are the appropriate settings for implementation of these programs [ 23 , 24 ], since they spend a significant proportion of their time at work [ 22 ]. Moreover, due to its favorable effects on productivity, reducing absenteeism, and healthcare costs, the return of investment on employees’ PA is high [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Socioeconomic inequalities in employees’ health-enhancing physical activity: Evidence from the SHAHWAR cohort study in Iran

et al. 2023

View full text Add to dashboard Cite

Background Increasing level of physical activity (PA) among working population is of particular importance, because of the high return of investment on employees’ PA. This study was aimed to investigate socioeconomic inequalities in Health-Enhancing Physical Activity (HEPA) among employees of a Medical Sciences University in Iran. Methods Data were extracted from the SHAHWAR Cohort study in Iran. Concentration index (C) and Wagstaff decomposition techniques were applied to determine socioeconomic inequality in the study outcomes and its contributors, respectively. Results Nearly half of the university employees (44.6%) had poor HEPA, and employees with high socioeconomic status (SES) suffered more from it (C = 0.109; 95% CI: 0.075, 0.143). Also, we found while poor work-related PA (C = 0.175; 95% CI: 0.142, 0.209) and poor transport-related PA (C = 0.081, 95% CI: 0.047, 0.115) were more concentrated among high-SES employees, low-SES employees more affected by the poor PA at leisure time (C = -0.180; 95% CI: -0.213, -0.146). Shift working, and having higher SES and subjective social status were the main factors that positively contributed to the measured inequality in employees’ poor HEPA by 33%, 31.7%, and 29%, respectively, whereas, having a married life had a negative contribution of -39.1%. The measured inequality in poor leisure-time PA was mainly attributable to SES, having a married life, urban residency, and female gender by 58.1%, 32.5%, 28.5%, and -32.6%, respectively. SES, urban residency, shift working, and female gender, with the contributions of 42%, 33.5%, 21.6%, and -17.3%, respectively, were the main contributors of poor work-related PA inequality. Urban residency, having a married life, SES, and subjective social status mainly contributed to the inequality of poor transport-related PA by 82.9%, -58.7%, 36.3%, and 33.5%, respectively, followed by using a personal car (12.3%) and female gender (11.3%). Conclusions To reduce the measured inequalities in employees’ PA, workplace health promotion programs should aim to educate and support male, urban resident, high-SES, high-social-class, and non-shift work employees to increase their PA at workplace, and female, married, rural resident, and low-SES employees to increase their leisure-time PA. Active transportation can be promoted among female, married, urban resident, high-SES, and high-social-class employees and those use a personal car.

show abstract

“…In this regard, the workplace of people is one of the appropriate settings for the implementation of these programs. [13,14] Because employed people spend a significant proportion of their time at work.…”

Section: Introductionmentioning

confidence: 99%

Socioeconomic Inequalities in Staff Physical Activity: Evidence from the SHAHWAR Cohort Study in Iran

Khoramrooz¹,

Zare²,

Sadeghian³

et al. 2021

Preprint

View full text Add to dashboard Cite

Background: This study was aimed to investigate socioeconomic-related inequality in physical activity (PA) among Staff of Medical Sciences University in Shahroud, Iran.Methods: Data were extracted from the first phase of the SHAHWAR cohort study. The Concentration index (CI) and Wagstaff decomposition method were applied to determine socioeconomic-related inequality in PPA and its contributors, respectively.Results: CIs of poor total PA (PTPA) and poor work-related PA (PWRPA) were 0.092 and 0.141, indicating their more concentration among staff of higher socioeconomic groups. Furthermore, the negative CI of poor leisure-time PA (PLTPA) (-0.191) suggests that it disfavors staff from lower socioeconomic groups. While PWRPA, Subjective social status (SSS), socioeconomic status (SES), and gender were positively contributed to the measured inequality in PTPA (65.3%, 37.9%, 18.6%, and 16.6%, respectively), residence in urban areas and PLTPA have negative contributions (64% and 27%, respectively). Similarly, SES, marital status, and residence in urban areas positively contributed to the inequality of PLTPA by 53.4%, 36.2%, and 23.5% respectively. Whereas, gender had the most negative contribution by 28.7%. Residence in urban areas, SES, SSS, and shift work were all positively contributed to the measured inequality in PWRPA (its more concentration among staff from high SES groups) by 28.4%, 20%, 15.2%, and 12.7%, respectively, while the opposite is true for gender by the contribution of 13.3%.Conclusions: Different patterns of PPA inequality revealed that health promotion programs should aim to educate and support higher SES staff to increase their PA in workplace, leisure time, and transportation, and lower SES staff to increase their leisure-time PA.

show abstract

Employee Wellness Pilot Program

Cited by 5 publications

References 20 publications

Examining the relationship between self-care and compassion fatigue in mental health professionals: A critical review.

Examining the relationship between self-care and compassion fatigue in mental health professionals: A critical review.

Socioeconomic inequalities in employees’ health-enhancing physical activity: Evidence from the SHAHWAR cohort study in Iran

Socioeconomic Inequalities in Staff Physical Activity: Evidence from the SHAHWAR Cohort Study in Iran

Contact Info

Product

Resources

About