Does the ability to express different emotions predict different indices of physical health? A skill-based study of physical symptoms and heart rate variability

How and Why Could Smiling Influence Physical Health? A Conceptual Review

Smiling has been a topic of interest to psychologists for decades, with a myriad of studies tying this behavior to well-being. Despite this, we know surprisingly little about the nature of the connections between smiling and physical health. We review the literature connecting both naturally occurring smiles and experimentally manipulated smiles to physical health and health-relevant outcomes. This work is discussed in the context of existing affect and health-relevant theoretical models that help explain the connection between smiling and physical health including the facial feedback hypothesis, the undoing hypothesis, the generalized unsafety theory of stress, and polyvagal theory. We also describe a number of plausible pathways, some new and relatively untested, through which smiling may influence physical health such as trait or state positive affect, social relationships, stress buffering, and the oculocardiac reflex. Finally, we provide a discussion of possible future directions, including the importance of cultural variation and replication. Although this field is still in its infancy, the findings from both naturally occurring smile studies and experimentally manipulated smile studies consistently suggest that smiling may have a number of health-relevant benefits including beneficially impacting our physiology during acute stress, improved stress recovery, and reduced illness over time.

Facial Expressions of Emotions During Pharmacological and Exercise Stress Testing: the Role of Myocardial Ischemia and Cardiac Symptoms

Background

Negative emotions have been linked to ischemic heart disease, but existing research typically involves self-report methods and little is known about non-verbal facial emotion expression. The role of ischemia and anginal symptoms in emotion expression was examined.

Methods

Patients undergoing cardiac stress testing (CST) using bicycle exercise or adenosine with myocardial perfusion imaging were included (N = 256, mean age 66.8 ± 8.7 year., 43% women). Video images and emotion expression (sadness, anxiety, anger, and happiness) were analyzed at baseline, initial CST , maximal CST, recovery. Nuclear images were evaluated using SPECT.

Results

Ischemia (N = 89; 35%) was associated with higher levels of sadness (p = .017, d = 0.34) and lower happiness (p = .015, d = 0.30). During recovery, patients with both ischemia and anginal symptoms had the highest sadness expression (F (3,254) = 3.67, p = .013, eta² = 0.042) and the lowest happiness expression (F (3, 254) = 4.19, p = .006, eta² = .048).

Conclusion

Sadness and reduced happiness were more common in patients with ischemia. Also, anginal symptoms were associated with more negative emotions.

Real Men Don't Cry: Skill Expressing Discrete Emotions Differentially Predicts Cardiovascular Disease Risk in Men and Women

BACKGROUND

Expressing emotions effectively is central to social functioning and has links to health and cardiovascular disease (CVD) risk. Previous work has linked the ability to smile to lower CVD risk in men but has not studied other expressions or considered the context of these skills.

PURPOSE

To test whether the ability to express fear, anger, sadness, happiness, and disgust cross-sectionally predict CVD risk in both genders and whether links are moderated by the ability to decode others' emotional signals.

METHODS

A community sample of 125 men and women (30-75 years) provided trait emotion data before a laboratory visit where blood was drawn and performance-based assessments of the ability to signal and decode emotions were administered. Expressive accuracy was scored using FaceReader software. Projected CVD risk was calculated using Framingham, a New Zealand (NZ) specific, and Atherosclerosis CVD (ASCVD) risk algorithms.

RESULTS

Accuracy expressing happiness predicted lower projected risk, whereas greater accuracy expressing fear and sadness predicted higher risk. Gender frequently moderated these links; greater accuracy expressing happiness predicted lower risk in men but not women. Conversely, greater accuracy expressing fear predicted higher risk in men, whereas greater accuracy expressing sadness predicted lower risk in women but, again, higher risk in men. The ability to accurately decode others' emotions moderated some links.

CONCLUSIONS

The ability to signal emotion has complex links to health parameters. The ability to flexibly regulate expressions in accordance with gender norms may be one useful way of thinking about adaptive expressive regulation.