Height and Weight Bias: The Influence of Time

Shiely, Frances; Hayes, Kevin; Perry, Ivan J.; Kelleher, Cecily

doi:10.1371/journal.pone.0054386

Cited by 61 publications

(57 citation statements)

References 31 publications

(56 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mean height is also steadily decreasing with age but with gaining in pace past the maturity (see Figure 1). Senescence, manifested in the height reduction, [4,7] may be a contributing factor for advanced age adults and elderly, but it hardly explains the steady increase of WCHR obesity threshold with age. One plausible explanation is the survival of individuals tolerant to central obesity.…”

Section: Adulthood Stage Summariesmentioning

confidence: 98%

“…On the other hand, in senescence, a drastic reduction in both weight and height, as observed, should be attributed to a loss of lean mass. [4,7] While the weight exhibits overall a declining trend, WC has a tendency to rise. The intrinsic differences between the two measures seem to be conferred onto the BMI measures and WCHR.…”

Section: Datamentioning

confidence: 99%

“…[7] Clearly, the type of clothes worn and also hairstyle are additional contributors of the weight variation through the procedure. Height is much less misperceived than weight, when self-reported.…”

Section: Advantage Of Wchrmentioning

confidence: 99%

“…Height is much less misperceived than weight, when self-reported. [7] One possible explanation of the second division by height in the widely adopted BMI 2 (Eqs. 2) is that this helps to "tame" the effect of weight variation, granted that height is much more stable a measure than weight.…”

Section: Advantage Of Wchrmentioning

confidence: 99%

“…[1] Instead of using 20 kg/m 2 by convention, underweight in obesity studies are often consensually included with the healthy weight category, so that no minimum for the healthy weight is set. [7,8] The critical BMI values not only define the diagnostic cut-off points, but also have a statutory meaning to justify costs associated whether with screening for, or treatment of confirmed disorders, and the costs escalate with disease progression. Particularly, if BMI is 30 kg/m 2 or more -a screening for T2DM is warranted as well as lifestyle modifications for weight loss.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Indexing adult obesity by waist-to-height and weight-to-height ratios

Yatsko

2017

JBEI

View full text Add to dashboard Cite

To date a vast evidence exists that the waist circumference to height ratio (WCHR) provides a better measure of obesity comparing to the body mass index (BMI). While weight and height are routinely obtained to calculate BMI, waist circumference, despite easily acquired, is often overlooked because the screening protocols, particularly for diabetes, demand BMI. This creates an obstacle for application of WCHR -a more definite measure than BMI for diagnostic of many linked to obesity metabolic disorders such as diabetes, cardiovascular disease and hypertension. This article is intended to fill the gap in the literature by providing a conversion from BMI to WCHR for five adult age categories. A strong linearity between the measures is demonstrated and equivalent to BMI WCHR thresholds are provided to identify normality, overweight as well as obesity and other points. The analysis is based on the data from National Health and Nutrition Examination Survey (NHANES). Different forms of BMI are also discussed and a strong linearity between them is demonstrated. An obesity index based on simple weight to height ratio to match the standard levels is proposed. The equivalence between the proposed and existing obesity indices is tested on the original data with promising results.

show abstract

Section: Adulthood Stage Summariesmentioning

confidence: 98%

Section: Datamentioning

confidence: 99%

Section: Advantage Of Wchrmentioning

confidence: 99%

Section: Advantage Of Wchrmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Indexing adult obesity by waist-to-height and weight-to-height ratios

Yatsko

2017

JBEI

View full text Add to dashboard Cite

show abstract

The medical care costs of obesity and severe obesity in youth: An instrumental variables approach

2020

View full text Add to dashboard Cite

This paper is the first to use the method of instrumental variables to estimate the impact of obesity and severe obesity in youth. on U.S. medical care costs. We examine data from the Medical Expenditure Panel Survey for 2001–2015 and instrument for child BMI using the BMI of the child's biological mother. Instrumental variables estimates indicate that obesity in youth raises annual medical care costs by $907 (in 2015 dollars) or 92%, which is considerably higher than previous estimates of the association of youth obesity with medical costs. We find that obesity in youth significantly raises costs in all major categories of medical care: outpatient doctor visits, inpatient hospital stays, and prescription drugs. The costs of youth obesity are borne almost entirely by third‐party payers, which is consistent with substantial externalities of youth obesity, which in turn represents an economic rationale for government intervention.

show abstract

Perceptions of Barriers to Effective Obesity Care: Results from the National ACTION Study

Kaplan

Golden²,

Jinnett

et al. 2017

Obesity

196

194

View full text Add to dashboard Cite

Objective: ACTION (Awareness, Care, and Treatment in Obesity maNagement) examined obesity-related perceptions, attitudes, and behaviors among people with obesity (PwO), health care providers (HCPs), and employer representatives (ERs). Methods: A total of 3,008 adult PwO (BMI 30 by self-reported height and weight), 606 HCPs, and 153 ERs completed surveys in a cross-sectional design. Results: Despite several weight loss (WL) attempts, only 23% of PwO reported 10% WL during the previous 3 years. Many PwO (65%) recognized obesity as a disease, but only 54% worried their weight may affect future health. Most PwO (82%) felt "completely" responsible for WL; 72% of HCPs felt responsible for contributing to WL efforts; few ERs (18%) felt even partially responsible. Only 50% of PwO saw themselves as "obese," and 55% reported receiving a formal diagnosis of obesity. Despite HCPs' reported comfort with weight-related conversations, time constraints deprioritized these efforts. Only 24% of PwO had a scheduled follow-up to initial weight-related conversations. Few PwO (17%) perceived employersponsored wellness offerings as helpful in supporting WL. Conclusions: Although generally perceived as a disease, obesity is not commonly treated as such. Divergence in perceptions and attitudes potentially hinders better management. This study highlights inconsistent understanding of the impact of obesity and need for both self-directed and medical management.

show abstract

Height and Weight Bias: The Influence of Time

Cited by 61 publications

References 31 publications

Indexing adult obesity by waist-to-height and weight-to-height ratios

Indexing adult obesity by waist-to-height and weight-to-height ratios

The medical care costs of obesity and severe obesity in youth: An instrumental variables approach

Perceptions of Barriers to Effective Obesity Care: Results from the National ACTION Study

Contact Info

Product

Resources

About