Views of Own Body Weight and the Perceived Risks of Developing Obesity and NCDs in South African Adults.
Mashudu ManafePaul K CheluleCynthia DikoPublished in: International journal of environmental research and public health (2021)
Obesity has become a serious public health problem worldwide and is linked to an increased risk of non-communicable diseases (NCDs). Poor self-perception of body weight is postulated to play a negative role in curbing increased rates of obesity. This study investigated the views of own body weight and perceived risk of developing NCDs in South African adults. This was a community-based quantitative study. Descriptive statistics were used, and logistic regression analysis was conducted on the data. A total of 1050 respondents took part in the study. Of the 161 respondents who perceived themselves to be normal weight, 98.8% (n = 159) misperceived their body weight. The majority of respondents (>90%) who were overweight according to the calculated BMI perceived no risk of developing obesity-related diseases. Most of the respondents, 46% (n = 253), believed that body weight was influenced by heredity. The method used for weight loss by 57% (n = 173) of the respondents was exercising at home. There was a statistically significant association between Body Mass Index (BMI), employment status, risk of developing diabetes, and body weight misperception (p < 0.05). Misperception of body weight was common among the study respondents and may influence weight control intervention strategies. Health promotion targeting personal behaviour, such as body weight self-perception, is crucial in supporting targeted strategies to address obesity in South Africa.
Keyphrases
- body weight
- weight loss
- weight gain
- body mass index
- insulin resistance
- metabolic syndrome
- type diabetes
- public health
- physical activity
- south africa
- bariatric surgery
- mental health
- depressive symptoms
- randomized controlled trial
- cardiovascular disease
- roux en y gastric bypass
- social support
- high fat diet induced
- cancer therapy
- hepatitis c virus
- health promotion
- deep learning
- antiretroviral therapy
- human health
- single molecule