STRESS PHASES AND ANTHROPOMETRIC AND BIOCHEMICAL INDICATORS IN PUBLIC SECURITY SERVERS
Name: DANIELLA MESSA KUBIT
Publication date: 17/05/2024
Examining board:
Name |
Role |
|---|---|
| JOSE LUIZ MARQUES ROCHA | Presidente |
| MARILDA EMMANUEL NOVAES LIPP | Examinador Externo |
| MIRIAM CARMO RODRIGUES BARBOSA | Coorientador |
| MONICA CATTAFESTA | Examinador Interno |
Summary: Introduction: Stress can be classified into three phases: alertness, resistance, and exhaustion. Each phase has its own physiological changes that can impact body composition and biochemical exams of stressed individuals. Public security servers (SSP) are considered more vulnerable to stress due to the inherent demands of their profession. Therefore, this population segment faces health impacts of stress, which can directly affect professional performance. Objective: To evaluate the association between perceived stress and anthropometric and biochemical indicators in PSS in Espírito Santo. Methodology: This is a cross-sectional observational study with analyses of serum biomarkers, evaluations of body composition, and stress phases using the Inventory of Stress Symptom (ISSL). Descriptive analysis was stratified by stress phases, with categorical variables presented through relative and absolute frequencies assessed by Pearson's chi-square test. Continuous variables were presented through measures of central tendency (mean and median) and measures of dispersion (standard deviation and interquartile range), according to the normality test. Linear regression models were used to test associations between dependent variables and stress phases. Analyses were conducted using SPSS® software version 25.0, with a significance level of 5%. Results: The final sample (n=264) was predominantly composed of men (73.6%), with a median age of 40 years, self-declared as mixed race (49.0%), working in the metropolitan region of the state (81.9%), in internal services (59.2%), and with completed high school or technical education (65.4%). When evaluating stress levels, 48.1% of PSS were identified as stressed, with 22.8% in the resistance phase and 25.1% in the exhaustion phase. A higher proportion of stress was observed in females (60.3%) (p<0.05). The resistance phase showed a positive association with body fat percentage (=0.149; IC95%: 0.236 – 5.859), central body fat (=0.188; IC95%: 0.327 – 4.128), total body fat in kilograms (=0.165 IC95%: 0.153 – 7.210), and visceral fat (=0.181; IC95%: 0.273 – 3.862) even after adjustment for confounding variables (p<0.05). Furthermore, the exhaustion phase showed a negative association with total cholesterol ( = -0.163; IC95%: -28.316 - -1.190), LDL-c ( = -0.156; IC95%: -21.946 – -0.125), and percentage lymphocytes ( = -0.224; IC95%: -6.410 – -1.343). On the other hand, this phase was positively associated with Neutrophil-Lymphocyte Ratio ( = 0.255; IC95%: 0.176 – 0.669) and segmented percentage ( = 2.728; IC95%: -1.058 – 6.595) (p<0.05). Conclusion: The resistance phase of stress is associated with body fat accumulation. On the other hand, the exhaustion phase demonstrates associations with biochemical markers involved in lipid metabolism and the immune system, highlighting the different impacts of stress on SSP.
