ArticleNutrients2023
Health Risk and Underweight.
Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Effect of Chronic Noncommunicable Diseases Multimorbidity on Functional Disability in Older Adults in Ireland: Evidence From the 2019 Irish Health Survey.Chronic diseases and translational medicine · 2026Article
- The Influence of BMI on Mortality and Clinical Outcomes After Burns.European burn journal · 2026Article
- Weight Trajectories During Inpatient Treatment for Anorexia Nervosa: A Dynamic Time Warp Analysis.The International journal of eating disorders · 2026Article
- Article
- Body mass index, waist circumference and the association with all-cause and cause-specific mortality: a 7.2-year follow-up cohort study in Shanghai, China.BMC public health · 2025Article
- Benefits of an Innovative 90-Day Longevity Workplace Program on Health in the United Arab Emirates (UAE).International journal of environmental research and public health · 2025Article
- Prevalence of Diabetes Mellitus and Hypertension Among COVID-19 Patients: A Cross-Sectional Study Exploring Associations With Sociodemographic and Biological Factors in Rajshahi Division, Bangladesh.Health science reports · 2025Article
- Trends and inequalities in physical fitness and nutritional status among 0.72 million Chinese adults aged 20-59 years: an analysis of five successive national surveillance surveys, 2000-2020.The Lancet regional health. Western Pacific · 2025Article
- The current clinical approach to feeding and eating disorders aimed to increase personalization of management.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2025Article
- Acute Activity Urges Predict Lower Early Weight Gain During Inpatient Treatment for Anorexia Nervosa.The International journal of eating disorders · 2024Article
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3 authors.
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Abstract
Anorexia nervosa is associated with a significant risk of morbidity and mortality. In clinical practice, health risk is assessed and estimated using routinely collected laboratory data. This study will develop a risk score using clinically relevant laboratory parameters. The related question is how to estimate the health risk associated with underweight using body weight, height and age.
methodsWe used routinely collected laboratory parameters from a total of 4087 patients. The risk score was calculated on the basis of electrolytes, blood count, transaminases and LDH. The nine parameters used were summed as zlog-transformed values. Where appropriate, the scales were inverted so that high values represented higher risk. For statistical prediction of the risk score, weight/height and age reference values from the WHO, the CDC (Center of Disease Control) and representative studies of German children and adults (KIGGS and NNS) were used.
resultsThe score calculated from nine laboratory parameters already shows a convincing relationship with BMI. Among the weight measures used for height and age, the z-score from the CDC reference population emerged as the best estimate, explaining 34% of the variance in health risk measured by the laboratory score. The percentile rank for each age-specific median weight from the KIGGS/NNS still explained more than 31% of the variance. In contrast, percentiles explained less variance than BMI without age correction.
conclusionsThe score we used from routine laboratory parameters appears to be an appropriate measure for assessing the health risk associated with underweight, as measured by the quality of the association with BMI. For estimating health risk based on weight, height and age alone, z-scores and percentages of age-specific median weight, as opposed to percentiles, are appropriate parameters. However, the study also shows that existing age-specific BMI reference values do not represent risk optimally. Improved statistical estimation methods would be desirable.
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