Related Experiment Video
Updated: Apr 11, 2026

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
Published on: May 31, 2021
Why weight for happiness? Correlates of BMI and SWB in Australia
Sharon Robertson1, Matthew Davies1, Helen Winefield1
1School of Psychology, University of Adelaide, South Australia, Australia.
Abstract:
Despite our best medical and behavioural strategies, the physical and mental health of the overweight and obese remains compromised. In an effort to improve treatment outcomes, research has begun to focus on (1) specific BMI categories, and (2) subjective well-being (SWB), a broad construct exploring how we evaluate and experience our lives. Positive psychology is concerned with SWB, through the application of variables associated with health, happiness and optimal functioning. To date, research exploring the relationship between BMI categories and SWB is lacking for community based Australians. This study employed a cross-sectional design using an online survey method (n=260). SWB and related variables were assessed over five BMI categories including normal, overweight, and obese classes one, two and three. Main findings suggest the class two and three obese demonstrated significantly lower scores on flourishing in comparison with the normal and overweight. The class three obese also demonstrated higher depression, and lower scores on agency and positive affect in comparison with the normal and overweight. Furthermore class two and three obese reported lower scores on pathways thinking than the overweight. Results provide preliminary support for the hypothesis that a lack of SWB may contribute to or maintain atypical BMI. Implications for treatment interventions are discussed.
More Related Videos
Related Concept Videos
Traits, Mood, and Subjective Wellbeing
Neuroticism and...
Social Relationships and Well-Being
Regression Toward the Mean
Correlations
Sources of Self-Esteem III: Social Comparison
Coefficient of Correlation
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...

