Can Nutritional Status in Adults Be Influenced by Health Locus of Control?
Wojciech GruszkaAleksander Jerzy OwczarekMateusz GlinianowiczMonika Bąk-SosnowskaJerzy ChudekMagdalena Olszanecka-GilianowiczPublished in: International journal of environmental research and public health (2022)
The external health locus of control (HLC) is based on an assumption that obtained health results depend on the influences of external factors. As for the internal HLC-that is the effect of our own actions and capabilities. Little is known regarding how the HLC can influence body weight or the occurrence of visceral obesity. The study aimed to assess the relationship between the health locus of control and nutritional status in adults. The study included 744 adults (452 women, 292 men; 2.8% underweight, 43.8% normal weight, 29.7% overweight, and 23.7% obese). In addition to anthropometric measurement and socio-demographic data, the health locus of control, using the Multidimensional Health Locus of Control Scale (MHLC) by Wallston K, Wallston B, and DeVellis R, was assessed. The percentage of subjects with an internal HLC did not differ significantly between obese, overweight, and normal-weight groups. However, the percentage of subjects with an external HLC-dependent on the impact of others-was significantly higher in both men and women with obesity than in corresponding overweight and normal-weight groups ( p < 0.01). Yet, the percentage of subjects with an external HLC subject to the impact of chance was significantly higher among overweight and obese women than in those of normal weight ( p < 0.05) only. Women with overweight or obesity, with external health locus of control, experienced both the impact of others and of chance more often than women with normal weight. However, men with overweight and with obesity more often had external health locus of control influenced only by others.
Keyphrases
- weight loss
- weight gain
- public health
- healthcare
- mental health
- physical activity
- body weight
- metabolic syndrome
- body mass index
- health information
- insulin resistance
- type diabetes
- risk assessment
- health promotion
- adipose tissue
- human health
- genome wide association study
- deep learning
- polycystic ovary syndrome
- pregnant women
- social media
- machine learning
- artificial intelligence