Prediction of Body Mass Index Using Concurrently Self-Reported or Previously Measured Height and Weight

Cui, Zhaohui; Stevens, June; Truesdale, Kimberly P.; Zeng, Donglin; French, Simone A.; Gordon‐Larsen, Penny

doi:10.1371/journal.pone.0167288

Cited by 12 publications

(6 citation statements)

References 21 publications

(34 reference statements)

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“…Although, BMI is significantly correlated with the amount of fat mass, measured with standard method, in the general population, the index loses predictability in the individual. Thus, individuals with the same BMI may have a significantly different fat mass [75]. The index, not including sex and age, tends to overestimate fat in young people and to underestimate it in the elderly.…”

Section: Diagnostic Methods and Impact On Prevalence Of Obesitymentioning

confidence: 99%

Why primary obesity is a disease?

et al. 2019

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Obesity must be considered a real pathology. In the world wide, obesity represent one of the major public health issue associated with increased morbidity and mortality. Overweight or obesity, in fact, significantly increases the risk of contracting diseases, such as: arterial hypertension, dyslipidemia, type 2 diabetes mellitus, coronary heart disease, cerebral vasculopathy, gallbladder lithiasis, arthropathy, ovarian polycytosis, sleep apnea syndrome, and some neoplasms. Despite numerous informative campaigns, unfortunately, the fight against obesity does not seem to work: in the last years, the prevalence continued to increase. The progressive and rapid increase in the incidence of obesity, which has characterized most of the economically advanced countries in the last decade, has been the main stimulus for the research of the mechanisms underlying this pathology and the related disorders. The aims of this review is to provide a revision of the literature in order to define obesity as diseases, secondly to highlight the limits and the inaccuracy of common tools used for the diagnosis of obesity, and as a third thing to strengthen the concept of the complexity of obesity as a disease among political health care providers. Obesity may be viewed as a multifactorial pathology and chronic low-grade inflammatory disease. In fact, people affected by obesity have greater risk of developing comorbility and morbility, respect to healthy. Hence, the absolute therapeutic benefit is directly proportional to the basic risk. So, internationally interest on early diagnosis of obesity is growing to avoid under- and overdiagnosis consequences. Therefore, the consequences are an aggravation of the disease and an increase in obesity related pathology like diabetes, cardiovascular disease, and cancer. The most widely used parameter for diagnosis, body mass index (BMI) is not suitable for assessing the body fat. In fact, several studies demonstrate that BMI alone cannot define obesity, which consists not so much in weight gain as in excess fat mass. The use of suitable tools for the assessment of fat mass percentage combined with clinical and genetic analysis allowed to identify different phenotypes of obesity, which explain the various paradoxes of obesity. It is essential to adopt all possible strategies to be able to combat obesity, ameliorate the suffering of patients, and reduce the social and treatment costs of obesity.

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Section: Diagnostic Methods and Impact On Prevalence Of Obesitymentioning

confidence: 99%

Why primary obesity is a disease?

et al. 2019

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“…Participant’s self-reported height at baseline was a valid method for evaluating BMI. 27,28 PWL from baseline weight was calculated at mid- and end-of-treatment for use in analyses.…”

Section: Methodsmentioning

confidence: 99%

Refining an algorithm-powered just-in-time adaptive weight control intervention: A randomized controlled trial evaluating model performance and behavioral outcomes

Goldstein¹,

Thomas

Foster

et al. 2020

Health Informatics J

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Suboptimal weight losses are partially attributable to lapses from a prescribed diet. We developed an app (OnTrack) that uses ecological momentary assessment to measure dietary lapses and relevant lapse triggers and provides personalized intervention using machine learning. Initially, tension between user burden and complete data was resolved by presenting a subset of lapse trigger questions per ecological momentary assessment survey. However, this produced substantial missing data, which could reduce algorithm performance. We examined the effect of more questions per ecological momentary assessment survey on algorithm performance, app utilization, and behavioral outcomes. Participants with overweight/obesity ( n = 121) used a 10-week mobile weight loss program and were randomized to OnTrack-short (i.e. 8 questions/survey) or OnTrack-long (i.e. 17 questions/survey). Additional questions reduced ecological momentary assessment adherence; however, increased data completeness improved algorithm performance. There were no differences in perceived effectiveness, app utilization, or behavioral outcomes. Minimal differences in utilization and perceived effectiveness likely contributed to similar behavioral outcomes across various conditions.

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“…The size of the relationship, however, is negligible. It thus appears that age at menarche is not a good predictor of future body fat in Indonesia and possibly other developing countries [15].…”

Section: Discussionmentioning

confidence: 88%

Maternal Obesity and Its Adverse Effect on Maternal and Fetal Health

Lutfy

Dawood

Gergawy

et al. 2021

JAMMR

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Background: The increasing prevalence of obesity worldwide has prompted the World Health Organization (WHO) to designate obesity as one of the most important global health threats. The epidemic is especially pronounced in women of reproductive age. Prepregnancy obesity is an independent risk factor for maternal and neonatal morbidity and mortality. The origin of this epidemic is unhealthy lifestyle – high energy and high-fat diet and physical inactivity. During periconceptual period and pregnancy, the composition of a woman’s diet is of particular importance, as it may influence the pregnancy, the delivery and the health of the mother and the infant later on, so an excessive gestational weight gain (GWG) is not recommended. The aim of our study is to clarify the complications related to excess prepregnancy body weight on maternal and fetal health. Methods: Hundred obese pregnant women with BMI (30-40 Kg/m2) measured at first trimester were prospectively enrolled into this study. Routine blood pressures, random blood sugar measuring and ultrasonographic follow up are required during pregnancy for early detection of any complications related to maternal obesity and excessive gestational weight gain (GWG). Results: cases statistically evaluated in these study were 100 pregnant females with mean age 27.34 years + 5 years SD and mean BMI 32.97 Kg/m2 + 2.92 Kg/m2 SD. Denoting in our study, the effect of maternal obesity om maternal and fetal health. Conclusion: A causal relationship between the prepregnancy BMI and obstetric complications is proven. Weight management is important for every women of reproductive age. Thus, medical Practice must consider these complications by providing early detection and management to improve both maternal and neonatal outcome.

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Prediction of Body Mass Index Using Concurrently Self-Reported or Previously Measured Height and Weight

Cited by 12 publications

References 21 publications

Why primary obesity is a disease?

Why primary obesity is a disease?

Refining an algorithm-powered just-in-time adaptive weight control intervention: A randomized controlled trial evaluating model performance and behavioral outcomes

Maternal Obesity and Its Adverse Effect on Maternal and Fetal Health

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