Association between burnout syndrome and obesity: A cross-sectional population-based study

Silva, Douglas de Souza e; Mercês, Magno Conceição das; Lua, Iracema; Coelho, Julita Maria Freitas; Santana, Amália Ivine Costa; Reis, Dandara Almeida; Barbosa, Caroline da Silva; Júnior, Argemiro D’Oliveira

doi:10.3233/wor-210245

Cited by 2 publications

(5 citation statements)

References 34 publications

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“… 31 Moreover, a recent study reported a link between burnout and obesity. 32 However, the results of a prospective study failed to demonstrate that burnout is predictive of obesity. 33 On the other hand, most previous studies, both in the general population and in health professionals in particular, have focused on the connection between job stress or work pressure with obesity.…”

Section: Discussionmentioning

confidence: 99%

“…Burnout is an indicator that increases the risk of developing obesity in the general population. 31 , 32 A cross-sectional analysis has shown a correlation between burnout and lack of physical activity, as well as obesity. 31 Moreover, a recent study reported a link between burnout and obesity.…”

Section: Discussionmentioning

confidence: 99%

“… 31 Also, recently, in a population-based study conducted in Brazil, it was reported that burnout was associated with obesity. 32 However, findings from a prospective study failed to demonstrate that exhaustion predicts obesity. 33 On the other hand, most of the previous studies carried out in the general population and in health professionals in particular, have focused on the relationship between work-related stress or job strain with obesity.…”

Section: Introductionmentioning

confidence: 99%

“…23,28,30 Burnout is a known risk factor for obesity in the general population. 31,32 A cross-sectional study has shown that burnout is associated with sedentary lifestyle and obesity. 31 Also, recently, in a population-based study conducted in Brazil, it was reported that burnout was associated with obesity.…”

Section: Introductionmentioning

confidence: 99%

“…As suggested in previous studies, understanding these associations will serve as a basis for strategies to address and manage chronic work-related stress, including complications such as burnout. 32 Additionally, interventions aimed at addressing burnout should be implemented to limit weight gain among healthcare professionals and the general population, considering that burnout is a factor that may influence how and what health care workers eat and may increase the risk of an increase in BMI. 37,38 Based on the above mentioned, this important area still maintains a clear deficiency on the relationship between burnout, intake of foods rich in specific unhealthy nutrients, and elevated BMI in health care workers.…”

Section: Introductionmentioning

confidence: 99%

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Burnout, Fat Intake, and Body Mass Index in Health Professionals Working in a Public Hospital: A Cross-Sectional Study

Vasquez-Purí,

Plaza-Ccuno,

Soriano-Moreno

et al. 2023

INQUIRY

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Burnout can have a negative influence on dietary intake, promoting unhealthy eating behaviors in health care workers. This study determined the association between burnout, saturated fat intake, and body mass index (BMI) in a group of health care workers. A cross-sectional study was conducted in 300 health professionals residing in Rioja, Department of San Martin, Peru. Data were collected through an online and face-to-face survey. Burnout was assessed using a scale adapted and validated in the Peruvian population. Additionally, a validated food frequency questionnaire (FFQ) was used to assess habitual fat intake. Both instruments were validated and adapted to the Peruvian population. Data were analyzed using Pearson correlation coefficients and multivariate logistic regression. Values of P < .05 were considered statistically significant. In the adjusted model, it was found that, for each extra point on intake scale, an average of 1.10 (95% CI, 0.57-1.62, P < .001) points increased burnout scale; these results persisted when compared by gender, 1.17 0.49 1.85, and 1.08 0.16 2.00, respectively female male genders. there no association between bmi ( P > .05). Future programs and interventions should be considered to minimize the effects of burnout on unhealthy food intake in health care workers in Peru to ensure better medical care by health care professionals on behalf of patients.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Burnout, Fat Intake, and Body Mass Index in Health Professionals Working in a Public Hospital: A Cross-Sectional Study

Vasquez-Purí,

Plaza-Ccuno,

Soriano-Moreno

et al. 2023

INQUIRY

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The Effect of Minimal Individual or Group Enhancement in an eHealth Program on Mental Health, Health Behavior and Work Ability: A Randomized Controlled Trial in Occupational Health Clients with Obesity (Preprint)

Männistö,

Muotka,

Lappalainen

et al. 2024

Preprint

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BACKGROUND Mental health problems and adverse health behaviors are enriched in individuals with obesity, and need to be considered in weight-loss interventions. Regarding weight-loss, hybrid interventions combining digital and in-person elements have proven superior compared to eHealth-only interventions. However, it remains unclear whether a minimal group or individual enhancement could bring additional benefits to mental health and health behavior domains in individuals with obesity. OBJECTIVE The study explored whether minimal group or individual enhancements could offer additional benefits to an eHealth intervention, specifically in relation to mental health, perceived work ability, and health behavior. Additionally, the study sought to examine the overall effects of the health behavior-focused intervention, which combined ACT and behavioral components, across these domains. METHODS This study was a randomized controlled trial (RCT) with a 12-month intervention with selected variables followed for another 12-months without additional support. Recruited from occupational health care, 111 working-age adults with BMI 30–40 kg/m2 were randomized to one of the three treatment arms: eHealth, eHealth+Group, or eHealth+Individual. All treatment arms received a web-administrated, coach-assisted eHealth program based on ACT and, additionally, the eHealth+Group and eHealth+Individual arms received three remotely facilitated group or individual meetings. The participants were assessed for depression (BDI-21), burnout (BBI-18), perceived work ability, eating behavior (ecSatter2.0, TFEQ and BES) and physical activity (BPAQ). RESULTS Neither of the treatment arms showed superiority over another. Across all participants, depression showed an estimated mean decrease of 2.5 BDI-21-points, with older participants experiencing a greater reduction in depressive symptoms. Furthermore, there were increases in eating competence, controlled restraint and physical activity, and decreases in uncontrolled eating and binge eating tendency. However, the 24-month measurements showed an adverse effect in eating competence, especially in attitudes towards eating and food, during the follow-up without further support. CONCLUSIONS Minimal enhancement through either group or individual virtual meetings did not provide additional benefits in mental health or eating habit domains compared to the eHealth intervention alone. However, the eHealth intervention effectively reduced depression symptoms, uncontrolled eating, and binge eating tendencies, while also improving eating competence and physical activity across the study population. Future research should explore the effect of providing additional support during the follow-up period to sustain the positive outcomes achieved during the intervention. CLINICALTRIAL ClinicalTrials.gov Identifier: NCT04785586 (March 8, 2021) RR2-10.1016/j.conctc.2020.100638 INTERNATIONAL REGISTERED REPORT RR2-https://doi.org/10.1016/j.conctc.2020.100638

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Association between burnout syndrome and obesity: A cross-sectional population-based study

Cited by 2 publications

References 34 publications

Burnout, Fat Intake, and Body Mass Index in Health Professionals Working in a Public Hospital: A Cross-Sectional Study

Burnout, Fat Intake, and Body Mass Index in Health Professionals Working in a Public Hospital: A Cross-Sectional Study

The Effect of Minimal Individual or Group Enhancement in an eHealth Program on Mental Health, Health Behavior and Work Ability: A Randomized Controlled Trial in Occupational Health Clients with Obesity (Preprint)

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