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Social media, traditional media, and other body image influences and disordered eating and cosmetic procedures in Malaysia, Singapore, Thailand, and Hong Kong

Chua SN, Craddock N, Rodtanaporn W, Or F, Austin SB

Body Image, 2023 Jun;45:265-272.
PMID: 37011471 DOI: 10.1016/j.bodyim.2023.03.010

In this study, we investigated the association between perceived sociocultural influences and the 3-month prevalence of disordered weight-control behaviors and lifetime prevalence of cosmetic procedures in four Asian countries, and if these associations were modified by gender. We conducted a cross-sectional online survey in September 2020 among adults ages 18-91 years (N = 5294) in Malaysia, Singapore, Thailand and Hong Kong. The 3-month prevalence of disordered weight control behaviors ranged from 25.2 % (Singapore) to 42.3 % (Malaysia), while the lifetime prevalence of cosmetic procedures ranged from 8.7 % (Singapore) to 21.3 % (Thailand). Participants who perceived their body image to be influenced by sociocultural factors were more likely to engage in disordered weight control behaviors (RRs ranged from 2.05 to 2.12) and have cosmetic procedures (RRs ranged from 2.91 to 3.89) compared to participants who perceived no sociocultural influence. Men who were influenced by traditional or social media were more likely to engage in disordered weight control behaviors and have cosmetic procedures than similarly influenced women. The high 3-month prevalence of disordered weight control behaviors and lifetime prevalence of cosmetic procedures in Asia is concerning. More research is needed to develop effective preventive interventions in Asia for men and women to promote a healthy body image.
Fulltext Estimated prevalence of eating disorders in Malaysia based on a diagnostic screen

Chua SN, Fitzsimmons-Craft EE, Austin SB, Wilfley DE, Taylor CB

Int J Eat Disord, 2022 Jun;55(6):763-775.
PMID: 35366018 DOI: 10.1002/eat.23711

Eating disorders (EDs) are debilitating health conditions and common across cultures. Recent reports suggest that about 14.0% of university students in Malaysia are at risk for developing an ED, and that prevalence may differ by ethnicity and gender. However, less is known about the prevalence of EDs in nonuniversity populations.
OBJECTIVE: The current study seeks to (1) estimate the prevalence of EDs and ED risk status among adults in Malaysia using an established diagnostic screen; (2) examine gender and ethnic differences between ED diagnostic/risk status groups; and (3) characterize the clinical profile of individuals who screen positive for an ED.
METHOD: We administered the Stanford-Washington University Eating Disorder Screen, an online ED screening tool, to adults in Malaysia in September 2020.
RESULTS: ED risk/diagnostic categories were assigned to 818 participants (ages 18-73 years) of which, 0.8% screened positive for anorexia nervosa, 1.4% for bulimia nervosa, 0.1% for binge-ED, 51.4% for other specified feeding or ED, and 4.8% for avoidant/restrictive food intake disorder. There was gender parity in the high risk and the overall ED categories. The point prevalence of positive eating pathology screening among Malays was significantly higher than Chinese but no different from Indians.
DISCUSSION: This is the first study to estimate the prevalence of EDs using a diagnostic screen in a population-based sample of Malaysians. It is concerning that over 50% of Malaysians reported symptoms of EDs. This study highlights the need to invest more resources in understanding and managing eating pathology in Malaysia.
PUBLIC SIGNIFICANCE: This study estimates the prevalence of EDs among adults in Malaysia using an online EDs screen. Over 50% of Malaysians report symptoms of EDs. The study highlights the need for more resources and funding to address this important public health issue through surveillance, prevention, and treatment of EDs in Malaysia.
Impact of Digital Advertising Policy on Harmful Product Promotion: Natural Language Processing Analysis of Skin-Lightening Ads

Lu J, Chua SN, Kavanaugh JR, Prashar J, Ndip-Agbor E, Santoso M, et al.

Am J Prev Med, 2024 Dec;67(6):811-819.
PMID: 39306774 DOI: 10.1016/j.amepre.2024.08.006

INTRODUCTION: Starting June 30, 2022, Google implemented its revised Inappropriate Content Advertising Policy, targeting discriminatory skin-lightening ads that suggest superiority of certain skin shades. This study evaluates the ad content changes from 2 weeks before to 2 weeks after the policy's enforcement.
METHODS: Text ads from Google searches in eight countries (Bahamas, Germany, India, Malaysia, Mexico, South Africa, United Arab Emirates, and United States) were collected in 2022, totaling 1,974 prepolicy and 3,262 post-policy ads, and analyzed in 2023. A gold standard database was established by two coders who labeled 707 ads, which trained five natural language processing models to label the ads, covering content and target demographics. The descriptive statistics and multivariable logistic models were applied to analyze content before versus after policy implementation, both globally and by country.
RESULTS: Vertex AI emerged as the best natural language processing model with the highest F1 score of 0.87. There were significant decreases from pre- to post-policy implementation in the prevalence of labels of "Racial or Ethnic Identification" and "Ingredients: Natural" by 47% and 66%, respectively. Notable differences were identified from pre- to post-policy implementation in India, Mexico, and Germany.
CONCLUSIONS: The study observed changes in skin-lightening product advertisement labels from pre- to post-policy implementation, both globally and within countries. Considering the influence of digital advertising on colorist norms, assessing digital ad policy changes is crucial for public health surveillance. This study presents a computational method to help monitor digital platform policies for consumer product advertisements that affect public health.
International consensus on patient-centred outcomes in eating disorders

Austin A, De Silva U, Ilesanmi C, Likitabhorn T, Miller I, Sousa Fialho MDL, et al.

Lancet Psychiatry, 2023 Dec;10(12):966-973.
PMID: 37769672 DOI: 10.1016/S2215-0366(23)00265-1

The effectiveness of mental health care can be improved through coordinated and wide-scale outcome measurement. The International Consortium for Health Outcomes Measurement has produced collaborative sets of outcome measures for various mental health conditions, but no universal guideline exists for eating disorders. This Position Paper presents a set of outcomes and measures for eating disorders as determined by 24 international experts from professional and lived experience backgrounds. An adapted Delphi technique was used, and results were assessed through an open review survey. Final recommendations suggest outcomes should be tracked across four domains: eating disorder behaviours and cognitions, physical health, co-occurring mental health conditions, and quality of life and social functioning. Outcomes are collected using three to five patient-reported measures. For children aged between 6 years and 12 years, the measures include the Children's Eating Attitude Test (or, for those with avoidant restrictive food intake disorder, the Eating Disorder in Youth Questionnaire), the KIDSCREEN-10, and the Revised Children's Anxiety and Depression Screener-25. For adolescents aged between 13 years and 17 years, the measures include the Eating Disorder Examination Questionnaire (EDE-Q; or, for avoidant restrictive food intake disorder, the Nine-Item Avoidant Restrictive Food Intake Disorder Screener [NIAS]), the two-item Patient Health Questionnaire (PHQ-2), the nine-item Patient Health Questionnaire (PHQ-9), the two-item Generalised Anxiety Disorder (GAD-2), the seven-item Generalised Anxiety Disorder (GAD-7), and the KIDSCREEN-10. For adults older than 18 years, measures include the EDE-Q (or, for avoidant restrictive food intake disorder, the NIAS), the PHQ-2, the PHQ-9, the GAD-2, the GAD-7, the Clinical Impairment Assessment, and the 12-item WHO Disability Assessment Schedule 2.0. These questionnaires should be supplemented by information on patient characteristics and circumstances (ie, demographic, historical, and clinical factors). International adoption of these guidelines will allow comparison of research and clinical interventions to determine which settings and interventions work best, and for whom.