Predictors of weight stigma experienced by middle-older aged, general-practice patients with obesity in disadvantaged areas of Australia: a cross-sectional study.

BMC public health. 2018;18(1):640
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Plain language summary

People in higher categories of obesity are at substantially increased health risk because mortality increases sharply as body mass index rises above 30. In addition to physical health risks, people with obesity commonly experience weight-related stigma. The aim of this study was to identify predictors of perceived weight stigma among patients with obesity attending general practices in socioeconomically disadvantaged urban areas of Australia. This is a cross-sectional study for which data from telephone interviews with patients with obesity were used. Patients were recruited from 17 general practices in socioeconomically disadvantaged areas of Sydney and Adelaide. Results indicate that one-third of the sample had experienced direct forms of weight discrimination in the week before being interviewed. Furthermore, weight discrimination was more likely to be experienced by patients in higher obesity categories, who were not employed, who spoke a language other than English at home and who had lower scores on the Health Literacy Questionnaire domain (that measures the ability to actively engage with healthcare providers). Authors conclude that weight stigma may compound other forms of social disadvantage. Thus, strategies are needed to address weight stigma at the individual, system and population levels and to educate primary care providers to be more alert to the needs of their patients with obesity.

Abstract

BACKGROUND Rates of obesity have increased globally and weight stigma is commonly experienced by people with obesity. Feeling stigmatised because of one's weight can be a barrier to healthy eating, physical activity and to seeking help for weight management. The aim of this study was to identify predictors of perceived weight among middle-older aged patients with obesity attending general practices in socioeconomically disadvantaged urban areas of Australia. METHODS As part of a randomised clinical trial in Australia, telephone interviews were conducted with 120 patients from 17 general practices in socioeconomically disadvantaged of Sydney and Adelaide. Patients were aged 40-70 years with a BMI ≥ 30 kg/m2. The interviews included questions relating to socio-demographic variables (e.g. gender, language spoken at home), experiences of weight-related discrimination, and the Health Literacy Questionnaire (HLQ). Multi-level logistic regression data analysis was undertaken to examine predictors of recent experiences of weight-related discrimination ("weight stigma"). RESULTS The multi-level model showed that weight stigma was positively associated with obesity category 2 (BMI = 35 to < 40; OR 4.47 (95% CI 1.03 to 19.40)) and obesity category 3 (BMI = ≥ 40; OR 27.06 (95% CI 4.85 to 150.95)), not being employed (OR 7.70 (95% CI 2.17 to 27.25)), non-English speaking backgrounds (OR 5.74 (95% CI 1.35 to 24.45)) and negatively associated with the HLQ domain: ability to actively engage with healthcare providers (OR 0.12 (95% CI 0.05 to 0.28)). There was no association between weight stigma and gender, age, education or the other HLQ domains examined. CONCLUSIONS Weight stigma disproportionately affected the patients with obesity most in need of support to manage their weight: those with more severe obesity, from non-English speaking backgrounds and who were not in employment. Additionally, those who had experienced weight stigma were less able to actively engage with healthcare providers further compounding their disadvantage. This suggests the need for a more proactive approach to identify weight stigma by healthcare providers. Addressing weight stigma at the individual, system and population levels is recommended. TRIAL REGISTRATION The trial was registered with the Australian Clinical Trials Registry ACTRN126400102162 .

Lifestyle medicine

Fundamental Clinical Imbalances : Structural
Patient Centred Factors : Triggers/Weight stigma
Environmental Inputs : Psychosocial influences
Personal Lifestyle Factors : Environment ; Psychological
Functional Laboratory Testing : Not applicable

Methodological quality

Jadad score : Not applicable
Allocation concealment : Not applicable

Metadata

Nutrition Evidence keywords : Overweight ; Obesity ; Body mass index ; BMI ; Weight management ; Weight stigma