» Articles » PMID: 36869293

Temperament and Longitudinal Changes in Physical Activity - the Northern Finland Birth Cohort 1966 Study

Overview
Publisher Biomed Central
Specialty Public Health
Date 2023 Mar 3
PMID 36869293
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Insufficient physical activity is risk factor for morbidity and premature mortality. This population-based birth cohort study investigated the cross-sectional and longitudinal associations between self-reported temperament at age 31 and self-reported leisure-time moderate to vigorous physical activity (MVPA) levels and changes thereof from the age of 31 to the age of 46 years.

Methods: The study population comprised 3,084 subjects (1,359 male and 1,725 female) from the Northern Finland Birth Cohort 1966. MVPA was self-reported at ages 31 and 46 years. Novelty seeking, harm avoidance, reward dependence, and persistence and their subscales were measured using Cloninger's Temperament and Character Inventory at age 31. Four temperament clusters were used in the analyses: persistent, overactive, dependent, and passive. Logistic regression was used to evaluate the relationship between temperament and MVPA.

Results: The persistent and overactive temperament profiles at age 31 were positively associated with higher MVPA levels both in young adulthood and in midlife, while the passive and dependent temperament profiles were associated with lower MVPA levels. The overactive temperament profile was associated with a decrease in MVPA levels from young adulthood to midlife among males.

Conclusion: A passive temperament profile characterized by high harm avoidance is associated with a higher risk of low MVPA level than other temperament profiles over the life cycle in females. The results suggest that temperament may play a role in determining the level and sustainability of MVPA. Individual targeting and intervention tailoring for promoting physical activity should consider temperament traits.

Citing Articles

Genetic polymorphisms and their association with neurobiological and psychological factors in anorexia nervosa: a systematic review.

Almaghrbi H, Bawadi H Front Psychol. 2024; 15:1386233.

PMID: 38979077 PMC: 11229080. DOI: 10.3389/fpsyg.2024.1386233.

References
1.
Idler E, Benyamini Y . Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav. 1997; 38(1):21-37. View

2.
Lee I, Shiroma E, Lobelo F, Puska P, Blair S, Katzmarzyk P . Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet. 2012; 380(9838):219-29. PMC: 3645500. DOI: 10.1016/S0140-6736(12)61031-9. View

3.
Jakicic J, Kraus W, Powell K, Campbell W, Janz K, Troiano R . Association between Bout Duration of Physical Activity and Health: Systematic Review. Med Sci Sports Exerc. 2019; 51(6):1213-1219. PMC: 6527142. DOI: 10.1249/MSS.0000000000001933. View

4.
Sovio U, King V, Miettunen J, Ek E, Laitinen J, Joukamaa M . Cloninger's Temperament dimensions, socio-economic and lifestyle factors and metabolic syndrome markers at age 31 years in the Northern Finland Birth Cohort 1966. J Health Psychol. 2007; 12(2):371-82. DOI: 10.1177/1359105307074301. View

5.
McCrae R, Costa Jr P, Martin T . The NEO-PI-3: a more readable revised NEO Personality Inventory. J Pers Assess. 2005; 84(3):261-70. DOI: 10.1207/s15327752jpa8403_05. View