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The Effect of Emotional Experiences on Biological Aging

The Effect of Emotional Experiences on Biological Aging

Article information

Korean J Health Promot. 2018;18(4):147-158
Publication date (electronic) : 2018 January 10
doi : https://doi.org/10.15384/kjhp.2018.18.4.147
Department of Family Medicine, Chungnam National University Hospital, Daejeon, Korea
■ Corresponding author: Jong Sung Kim, MD, PhD Department of Family Medicine, Chungnam National University Hospital, 282 Munhwa-ro, Jung-gu, Daejeon 35015, Korea Tel: +82-42-280-7548, Fax: +82-42-280-7879 E-mail: jskim@cnuh.co.kr
Received 2018 August 29; Revised 2018 December 20; Accepted 2018 December 21.

Abstract

Abstract

Background

This study was designed to investigate the effects of usual negative emotional experiences on biological aging progression of human.

Methods

A total of 237 subjects who visited the Health Promotion Center at Chungnam National University Hospital from May 2013 through September 2013 was enrolled. Each subject had been drawn up a structured questionnaire about usual experiences of depression, anxiety, anger, and anger expression. The degree of biological aging progression of each subject was computed by a specific formula which consisted of chronological age and biological age reflecting obesity and aging of main organs.

Results

Trait anger and low education level showed the significant correlations with biological aging (r=0.160, P=0.014, and r=-0.189, P=0.024, respectively). Trait anger and low education level solely displayed the significant R2s for biological aging in consequence of multivariate analyses; R2=0.044, P=0.020, and R2=0.022, P=0.038, respectively.

Conclusions

This study suggests that the significant relationship between usual anger experience (i.e., trait anger) and biological aging would be present. In addition, lower education level may be related with biological aging.

Keywords: Aging; Anger; Education

General characteristics and emotional experiences

The relationships among general characteristics, emotional experiences, and biological aginga

Subgroup analysis on relationships among general characteristics, emotional experiences and biological aginga

Coefficients of determination of general characteristics and emotional experiences for the biological aginga

References

1. Cannon WB. The wisdom of the body New York: W.W. Norton & Company, Inc.; 1932. p. 218–42.
2. Romero ML, Butler LK. Endocrinology of stress. Int J Comp Psychol 2007;20(2):89–95.
3. al'Absi M, Bongard S. Neuroendocrine and behavioral mechanisms mediating the relationship between anger expression and cardiovascular risk: assessment considerations and improvements. J Behav Med 2006;29(6):573–91.
4. Cohen BE, Panguluri P, Na B, Whooley MA. Psychological risk factors and the metabolic syndrome in patients with coronary heart disease: findings from the heart and soul study. Psychiatry Res 2010;175(1–2):133–7.
5. Schrag A, Jahanshahi M, Quinn N. What contributes to quality of life in patients with Parkinson's disease? J Neurol Neurosurg Psychiatry 2000;69(3):308–12.
6. Kathol RG, Mutgi A, Williams J, Clamon G, Noyes R Jr. Diagnosis of major depression in cancer patients according to four sets of criteria. Am J Psychiatry 1990;147(8):1021–4.
7. Räikkönen K, Matthews KA, Kuller LH. The relationship between psychological risk attributes and the metabolic syndrome in healthy women: antecedent or consequence? Metabolism 2002;51(12):1573–7.
8. Chignon JM, Lepine JP, Ades J. Panic disorder in cardiac outpatients. Am J Psychiatry 1993;150(5):780–5.
9. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring depression. Arch Gen Psychiatry 1961;4(6):561–71.
10. Beck AT, Epstein N, Brown G, Steer RA. An inventory for measuring clinical anxiety: psychometric properties. J Consult Clin Psychol 1988;56(6):893–7.
11. Zung WW. A self-rating depression scale. Arch Gen Psychiatry 1965;12(1):63–70.
12. Zung WW. A rating instrument for anxiety disorders. Psychosomatics 1971;12(6):371–9.
13. Hamilton M. A rating scale for depression. J Neurol Neurosurg Psychiatry 1960;23(1):56–62.
14. Hamilton M. The assessment of anxiety states by rating. Br J Med Psychol 1959;32(1):50–5.
15. Spielberger CD, Reheiser EC. Assessment of emotions: anxiety, anger, depression, and curiosity. Appl Psychol Health Well Being 2009;1(3):271–302.
16. Lee CH, Chon KK, Hahn DW, Kim KH. The Korean adaptation of the State-Trait Depression Inventory: STDI-K. Korean J Health Psychol 1999;4(1):1–14.
17. Spielberger CD, Gorsuch RL, Lushene RE. Manual for the state-trait anxiety inventory Palo Alto: Consulting Psychologist Press; 1970. p. 1–2.
18. Kim JT. The relationship of the trait anxiety and sociality [dissertation] Seoul: Korea University; 1978. Korean.
19. Lee YJ, Bhang SY, Choi S, Lee HK, Kim BW, Kim W, et al. Korean state-trait anxiety inventory application study in middle and high school students. J Korean Neuropsychiatr Assoc 2008;47(5):471–80.
20. Spielberger CD, Sydeman SJ. State-trait anxiety inventory and state-trait anger expression inventory. In : Maruish ME, ed. The use of psychological testing for treatment planning and outcome assessment: 1st edition Hillsdale: Lawrence Erlbaum Associates; 1994. p. 292–321.
21. Hahn DW, Lee CH, Chon KK. Korean adaptation of the State-Trait Anger Expression Inventory (STAXI-K): the case of college students. Korean J Health Psychol 1998;3(1):18–32.
22. Bae CY, Kang YG, Kim S, Cho C, Kang HC, Yu BY, et al. Development of models for predicting biological age (BA) with physical, biochemical, and hormonal parameters. Arch Gerontol Geriatr 2008;47(2):253–65.
23. Park JH, Cho BL, Kwon HT, Lee CM. Developing a biological age assessment equation using principal component analysis and clinical biomarkers of aging in Korean men. Arch Gerontol Geriatr 2009;49(1):7–12.
24. Hahn DW, Park JH, Kim KH. Effects of self-disclosure and rumination about stressful life event and emotional experiences on physical health. Korean J Health Psychol 2004;9(1):99–130.
25. Menendez JA, Joven J. Energy metabolism and metabolic sensors in stem cells: the metabostem crossroads of aging and cancer. Adv Exp Med Biol 2014;824:117–40.
26. Arun CP. Fight or flight, forbearance and fortitude: the spectrum of actions of the catecholamines and their cousins. Ann N Y Acad Sci 2004;1018:137–40.
27. Baltrusch HJ, Stangel W, Titze I. Stress, cancer and immunity. New developments in biopsychosocial and psychoneur-oimmunologic research. Acta Neurol (Napoli) 1991;13(4):315–27.
28. Dannehl K, Rief W, Schwarz MJ, Hennings A, Riemer S, Selberdinger V, et al. The predictive value of somatic and cognitive depressive symptoms for cytokine changes in patients with major depression. Neuropsychiatr Dis Treat 2014;28(10):1191–7.
29. Logan JG, Barksdale DJ, Carlson J, Carlson BW, Rowsey PJ. Psychological stress and arterial stiffness in Korean Americans. J Psychosom Res 2012;73(1):53–8.
30. Janković S, Stojisavljević D, Janković J, Erić M, Marinković J. Association of socioeconomic status measured by education, and cardiovascular health: a population-based cross-sectional study. BMJ Open 2014;4(7):e005222.

Article information Continued

Table 1.

General characteristics and emotional experiences

Characteristic Value
Sex  
   Male 126 (53.2)
   Female 111 (46.8)
Age, y 52.8±10.8
BMI 24.0±3.3
Education level  
   <Elementary school 3 (1.3)
   Elementary school 26 (11.0)
   Middle school 36 (15.2)
   High school 58 (24.5)
   ≥College or university 114 (48.1)
Monthly household gross income (106 won)  
   <1 27 (11.4)
   1≤ N <3 63 (26.6)
   3≤ N <5 69 (29.1)
   ≥5 78 (32.9)
Faith level  
   No or little 88 (37.1)
   A little 72 (30.4)
   Moderate 25 (10.5)
   A lot 24 (10.1)
Smoking  
   Non-smoker 146 (61.6)
   Past smoker 46 (19.4)
   Present smoker 45 (19.0)
Weekly exercise, min 92.9±138.4
Weekly alcohol use (standard drinka) 5.3±11.0
Family function index 6.4±2.4
Trait depression 20.7±5.2
Trait anxiety 41.3±9.5
Trait anger 19.9±5.3
Anger expression 48.1±7.1

Abbreviation: BMI, body mass index. Values are presented as number (%) or mean±standard deviation.

a

A standard drink=alcohol 14 g.

Table 2.

The relationships among general characteristics, emotional experiences, and biological aginga

Variable r P
Age –0.054 0.404
Education levelb –0.189 0.024
Monthly household gross incomeb –0.123 0.424
Faith levelb 0.018 0.612
Weekly exercise –0.110 0.066
Weekly alcohol use –0.005 0.944
Family function index 0.024 0.711
Trait depression –0.026 0.689
Trait anxiety 0.053 0.414
Trait anger 0.160 0.014
Anger expression 0.015 0.816

All variables were calculated by Pearson correlation analyses.

a

Biological aging (%)={(biological age-chronological age)/chrono-logical age}×100.

b

Converted into dummy variables.

Table 3.

Subgroup analysis on relationships among general characteristics, emotional experiences and biological aginga

Variable r P
Education levelb –0.189 0.024
  Sex    
   Male –0.152 0.101
   Female –0.143 0.120
  Age   0.072
   30's –0.121 0.470
   40's 0.014 0.929
   50's –0.290 0.010
   60's 0.089 0.468
   70's
Trait angerb 0.160 0.014
  Sex    
   Male 0.152 0.101
   Female 0.133 0.146
  Age    
   30's 0.383 0.018
   40's 0.128 0.409
   50's 0.174 0.130
   60's –0.067 0.583
   70's 0.404 0.281
a

Biological aging (%)={(biological age-chronological age)/chrono-logical age}×100.

b

Calculated by Pearson correlation analyses.

Table 4.

Coefficients of determination of general characteristics and emotional experiences for the biological aginga

Predictor R2 ΔR2 Adjusted R2 β Standard error Beta P
Modelb 0.206c 0.043c 0.034c        
  Trait anger 0.044d d 0.017d 0.168e 0.075e 0.198e 0.020e
  Education level 0.066d 0.022d 0.028d –0.588e 0.277e –0.164e 0.038e
a

Biological aging (%)={(biological age-chronological age)/chronological age}×100.

b

Model was adjusted for age, sex, body mass index, monthly household gross income, faith level, smoking, weekly exercise, and weekly alcohol use.

c

R2, ΔR2, and adjusted R2 were calculated using multiple stepwise linear regression analysis.

d

R2, ΔR2, and adjusted R2 were calculated using simple linear regression analysis.

e

Data were calculated using multiple stepwise linear regression analysis.