Burnout syndrome and metabolic syndrome: a cross-sectional population-based study

Mercês, Magno Conceição das; Coelho, Julita Maria Freitas; Lua, Iracema; Silva, Douglas de Souza e; Gomes, Antônio Marcos Tosoli; Santana, Amália Ivine Costa; Magalhães, Lucélia Batista Neves Cunha; Júnior, Argemiro D’Oliveira

doi:10.1080/19338244.2020.1819186

Cited by 9 publications

(21 citation statements)

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“…Professional exhaustion, in turn, adds numerous unfavorable characteristics of work and its occurrence is high among PHC professionals. Considering the labor dynamics of nursing professionals specialized in PHC and the required bond formations with patients, professional exhaustion often occurs and causes numerous negative health repercussions, including MS, in nursing workers [ 8 ].…”

Section: Discussionmentioning

confidence: 99%

“…Using a simple random sample, 10% of the municipalities in each mesoregion were drawn. All 1195 PHC nursing professionals in the selected [ 4 , 8 , 9 ] municipalities were considered eligible. Prior to data collection, a pilot study was carried out with a similar population (n = 30).…”

Section: Methodsmentioning

confidence: 99%

“…The criteria were the following: PHC nursing professionals over 18 years, who were working without restrictions at the time of data collection, having at least 6 months in the health unit, and who were available for blood collection for diagnosis of metabolic syndrome. Professionals who performed strictly administrative activities, pregnant women with self-reported diagnoses of “burnout syndrome”, common mental disorders (depression or anxiety), liver cirrhosis, illicit drug users, or alcohol abuse were not part of the sample [ 4 , 8 , 9 ].…”

Section: Methodsmentioning

confidence: 99%

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Interaction between Work and Metabolic Syndrome: A Population-Based Cross-Sectional Study

et al. 2022

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Metabolic syndrome (MS) is a clinical condition and a relevant risk factor in the development of cardiovascular diseases; it occurs as a result of lifestyle factors, e.g., work. The aim of this research was to estimate the interaction between work and MS among primary health care (PHC) nursing professionals in the state of Bahia, Brazil. A sectional multicentered study carried out in 43 municipalities in Bahia, whose study population consisted of nursing professionals. The exposure variables were occupation, professional exhaustion, and working time, and the outcome variable was MS. Interaction measures based on the additivity criteria were verified by calculating the excess risks due to the interactions and according to the proportion of cases attributed to the interactions and the synergy index. The global MS prevalence is 24.4%. There was a greater magnitude in the exposure group regarding the three investigated factors (average level occupation, professional exhaustion, and working time in PHC for more than 5 years), reaching an occurrence of 44.9% when compared to the prevalence of 13.1% in the non-exposure group (academic education, without professional burnout, and working time in PHC for up to 5 years). The study’s findings showed a synergistic interaction of work aspects for MS occurrence among PHC nursing professionals.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Interaction between Work and Metabolic Syndrome: A Population-Based Cross-Sectional Study

et al. 2022

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“…These include hierarchies, operating rules, resources, values, management model, culture, psychological support, and curricular factors [ 7 – 9 ]. Burnout is associated with poor academic performance, sleep disturbance, risk of severe mental illness or substance use disorder, an increased likelihood of cardiovascular disease, and neglect of physical and mental health [ 6 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

Prevalence of burnout among university students in low- and middle-income countries: A systematic review and meta-analysis

et al. 2021

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Background Burnout is common among university students and may adversely affect academic performance. Little is known about the true burden of this preventable malady among university students in low-and-middle-income countries (LMICs). Objectives This study aimed to systematically estimate the prevalence of burnout among university students in LMICs. Methods We searched PubMed, Google Scholar, CINAHL, Web of Science, African Journals Online, and Embase from the inception of each database until February 2021. Original studies were included. No study design or language restrictions were applied. A random-effects meta-analysis was performed using STATA version 16.0. Heterogeneity and publication bias were assessed using Q-statistics and funnel plots, respectively. Results Fifty-five unique articles, including a total of 27,940 (Female: 16,215, 58.0%) university students from 24 LMICs were included. The Maslach Burnout Inventory (MBI) was used in 43 studies (78.2%). The pooled prevalence of burnout was 12.1% (95% Confidence Interval (CI) 11.9–12.3; I2 = 99.7%, Q = 21,464.1, p = < 0.001). The pooled prevalence of emotional exhaustion (feelings of energy depletion), cynicism (negativism), and reduced professional efficacy were, 27.8% (95% CI 27.4–28.3; I2 = 98.17%. p = <0.001), 32.6 (95% CI: 32.0–33.1; I2: 99.5%; p = < 0.001), and 29.9% (95% CI: 28.8–30.9; I2: 98.1%; p = < 0.001), respectively. Conclusion Nearly one-third of university students in LMICs experience burnout. More studies are needed to understand the causes of burnout in this key population. There is a need to validate freely available tools for use in these countries.

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“…In the United States of America, the prevalence of MS is 20%-25% in adults and 0.6%-13% in university students (2,3). A study involving 1125 nursing professionals of both sexes (average age: 37.1 years) who worked in primary health care in Brazil reported that the prevalence of MS is 23.7% in women and 29.4% in men (4).…”

Section: ' Introductionmentioning

confidence: 99%

Effect of Metabolic Syndrome on Parkinson’s Disease: A Systematic Review

Souza¹,

Barros²,

Silva³

et al. 2021

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Evidence shows that metabolic syndrome (MS) is associated with a greater risk of developing Parkinson's disease (PD) because of the increase in oxidative stress levels along with other factors such as neuroinflammation and mitochondrial dysfunction. However, because some studies have reported that MS is associated with a lower risk of PD, the relationship between MS and PD should be investigated. This study aimed to investigate the effect of MS on PD. Two authors searched five electronic databases, namely, MEDLINE, PubMed, Scopus, PsycINFO, Web of Science, and Science Direct, for relevant articles between September and October 2020. After screening the title and abstract of all articles, 34 articles were selected for full-text review. Finally, 11 articles meeting the eligibility criteria were included in the study. The quality of articles was critically evaluated using the Joanna Briggs Institute. Overall, we evaluated data from 23,586,349 individuals (including healthy individuals, with MS and PD) aged 30 years or more. In cohort studies, the follow-up period varied between 2 and 30 years. MS contributed considerably to the increase in the incidence of PD. In addition, obesity, a component of MS, alone can increase the probability of developing neurodegenerative diseases. However, despite few studies on MS and PD, changes in cognitive function and more rapid progression of PD disease has been documented in patients with MS using methods commonly used in research.

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Burnout syndrome and metabolic syndrome: a cross-sectional population-based study

Cited by 9 publications

References 49 publications

Interaction between Work and Metabolic Syndrome: A Population-Based Cross-Sectional Study

Interaction between Work and Metabolic Syndrome: A Population-Based Cross-Sectional Study

Prevalence of burnout among university students in low- and middle-income countries: A systematic review and meta-analysis

Effect of Metabolic Syndrome on Parkinson’s Disease: A Systematic Review

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