Novel Biochemical Markers of Psychosocial Stress in Women
2009

Biochemical Markers of Stress in Women

Sample size: 324 publication 10 minutes Evidence: moderate

Author Information

Author(s): Åsberg Marie, Nygren Åke, Leopardi Rosario, Rylander Gunnar, Peterson Ulla, Wilczek Lukas, Källmén Håkan, Ekstedt Mirjam, Åkerstedt Torbjörn, Lekander Mats, Ekman Rolf

Primary Institution: Karolinska Institute, Stockholm, Sweden

Hypothesis

Can biochemical markers be identified for screening and early intervention in women experiencing prolonged psychosocial stress?

Conclusion

MCP-1, EGF, and VEGF are potential markers for screening and early intervention in women under prolonged psychosocial stress.

Supporting Evidence

  • MCP-1 levels were more than twice as high in the sick leave group compared to healthy controls.
  • VEGF levels were three times as high in the sick leave group compared to healthy controls.
  • EGF levels were more than twice as high in the sick leave group compared to healthy controls.
  • Statistical analysis indicates that MCP-1, EGF, and VEGF independently associate with a significant risk for being classified as ill.

Takeaway

This study found that certain substances in the blood can help identify women who are stressed and may need help.

Methodology

The study measured plasma concentrations of various cytokines and growth factors in three groups of women: those on long-term sick leave for stress-related disorders, those at risk for burnout, and healthy controls.

Potential Biases

Potential confounding factors include variations in blood collection times and lack of control for nicotine consumption and hormonal variables.

Limitations

The study design involved only a single time point observation, which may not capture variations over time.

Participant Demographics

Participants included 195 women on long-term sick leave, 45 women at risk for burnout, and 84 healthy women, with ages ranging from 21 to 62 years.

Statistical Information

P-Value

0.000

Confidence Interval

13.30–91.35 for MCP-1, 3.13–22.25 for EGF, 3.14–20.44 for VEGF

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pone.0003590

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