ArticleLipids in health and disease2018
Weight underestimation for adults in Beijing and its association with chronic disease awareness and weight management.
Article in Lipids in health and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- How do Italian adolescents see themselves? Body weight congruence and its determinants in the 2021/2022 HBSC study.Italian journal of pediatrics · 2026Article
- Nutritional Risk Factors Model of Community-Dwelling Older People in Poland-Pilot Study.Nutrients · 2025Article
- Improving obesity management: Insights from the ACTION Switzerland survey of people with obesity, physicians and dietitians.Clinical obesity · 2025Observational
- Rural versus urban healthcare through the lens of health behaviors and access to primary care: a post-hoc analysis of the Romanian health evaluation survey.BMC health services research · 2024Article
- Perception of a need to change weight in individuals living with and beyond breast, prostate and colorectal cancer: a cross-sectional survey.Journal of cancer survivorship : research and practice · 2024Article
- Weight self-misperception and obesity-related knowledge, attitudes, lifestyle behaviours and cardio-metabolic markers among Chinese school-aged children and adolescents.Public health nutrition · 2023Article
- Orthopaedic patients underestimate their body weight too: a cross-sectional study.International orthopaedics · 2021Article
- Awareness, treatment, control, and determinants of dyslipidemia among adults in China.Scientific reports · 2021Article
- Weight self-perception in adolescents: evidence from a population-based study.Public health nutrition · 2021Article
- Article
- Effect of maternal weight gain according to the Institute of Medicine recommendations on pregnancy outcomes in a Chinese population.The Journal of international medical research · 2019Article
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Authors and funding
11 authors.
Funding
Abstract
backgroundObesity is known to be a risk factor to a variety of chronic diseases. Weight misperception has an impact on weight-loss attitude and behavior. We aimed to investigate factors associated with weight underestimation, and to assess the effect of hypertension, diabetes and dyslipidemia awareness on weight underestimation and weight management for overweight and obese adults.
methodsData was obtained from the 2011 Beijing Non-communicable disease and risk factors Surveillance (BJNCDRS). A total of 19,932 participants with measures of weight and height were included in the analysis. Self-perception of weight was obtained by asking, "How do you describe your weight?", and the question for weight management was "Are you taking any actions to control your body weight?". Multiple logistic regression was used to investigate factors related to weight underestimation.
resultsFor the underweight, normal weight, and overweight/obese categories, more than half of the participants perceived their weight accurately (63.6, 53.8, 66.2%, respectively). For overweight and obese adults, older age, male, rural residence, lower level of education, lower level of income, absence of hypertension, presence of diabetes and absence of dyslipidemia positively associated with weight underestimation, and awareness of having hypertension and dyslipidemia were negatively associated with weight underestimation (Adjusted OR(95%CI) were 0.70(0.61~ 0.79) and 0.71(0.62~ 0.80), respectively). Awareness of having hypertension and dyslipidemia were significantly associated with weight management (Adjusted OR (95%CI) were 1.42(1.25~ 1.62) and 1.53(1.36~ 1.72), respectively). There was no significant association between awareness of diabetes and weight underestimation(P > 0.05) or weight management(P > 0.05).
conclusionsMore than half of the participants perceived their weight accurately. For overweight/obese population, awareness of having hypertension and dyslipidemia could improve weight perception and weight management, whereas awareness of having diabetes might not.
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