Dietary Patterns, Occupational Stressors and Body Composition of Hospital Workers: A Longitudinal Study Comparing before and during the COVID-19 Pandemic.
Carlos Rodrigo Nascimento de LiraRita de Cássia Coelho de Almeida AkutsuLorene Gonçalves CoelhoRenata Puppin ZandonadiPriscila Ribas de Farias CostaPublished in: International journal of environmental research and public health (2023)
This longitudinal study aimed to evaluate the association between dietary patterns and the body composition of hospital workers subjected to occupational stressors before and during the COVID-19 pandemic. Data on sociodemographic, occupational, lifestyle, anthropometric, food consumption and occupational stress were collected before and during the COVID-19 pandemic. A total of 218 workers from a private hospital in Santo Antônio de Jesus, Bahia, Brazil were included in the study. After evaluating the normality of the data, parametric or non-parametric tests were used to characterize the sample. Dietary pattern was defined with Exploratory Factor Analysis and Structural Equation Modeling was used to test the desired association. During the pandemic, work per shift increased by 8.2% ( p = 0.004) and working hours > 40 h/week increased by 9.2% ( p = 0.006). Despite the higher prevalence of low occupational stress (85.8% vs. 72.1%), high stress increased by 13.7% from 2019 to 2020 ( p < 0.001) and 30.3% reported a positive mediating effect on the variables of body composition, body mass index (b = 0.478; p < 0.001), waist circumference (b = 0.395; p = 0.001), fat-free mass (b = 0.440; p = 0.001) and fat mass (b = -0.104; p = 0.292). Therefore, a dietary pattern containing high-calorie foods was associated with changes in the body composition of hospital workers, including occupational stressors as mediators of this relationship.
Keyphrases
- body composition
- body mass index
- resistance training
- bone mineral density
- healthcare
- acute care
- adverse drug
- physical activity
- sars cov
- coronavirus disease
- weight loss
- cardiovascular disease
- metabolic syndrome
- type diabetes
- randomized controlled trial
- emergency department
- weight gain
- stress induced
- artificial intelligence
- climate change
- machine learning
- postmenopausal women
- heat stress
- study protocol