Abstract:Measurement of subcutaneous fat thickness with a skinfold caliper is a simple and inexpensive technique for assessment of body composition, but is influenced by the skin site or the obesity level. The resulting measurement errors may influence the prediction accuracy of body density. We therefore aimed to clarify the characteristics of measurement errors with a skinfold caliper and to determine useful measurement sites for the prediction of body density in Japanese adults of wide-ranging age and obesity levels… Show more
“…A potential reason for our finding that males are more prone to developing PUs is that they have less subcutaneous fat than females. In Japanese adults, a significant gender difference between males and females was found with respect to the amount of subcutaneous fat at all sites except for the side chest and lower back [27]. Given the above, the gender factor may require further investigation.…”
BackgroundPressure ulcers (PUs) are considered a serious problem in nursing care and require preventive measures. Many risk assessment methods are currently being used, but most require the collection of data not available on admission. Although nurses assess the Nursing Needs Score (NNS) on a daily basis in Japanese acute care hospitals, these data are primarily used to standardize the cost of nursing care in the public insurance system for appropriate nurse staffing, and have never been used for PU risk assessment.ObjectiveThe objective of this study was to predict the risk of PU development using only data available on admission, including the on-admission NNS score.MethodsLogistic regression was used to generate a prediction model for the risk of developing PUs after admission. A random undersampling procedure was used to overcome the problem of imbalanced data.ResultsA combination of gender, age, surgical duration, and on-admission total NNS score (NNS group B; NNS-B) was the best predictor with an average sensitivity, specificity, and area under receiver operating characteristic curve (AUC) of 69.2% (6920/100), 82.8% (8280/100), and 84.0% (8400/100), respectively. The model with the median AUC achieved 80% (4/5) sensitivity, 81.3% (669/823) specificity, and 84.3% AUC.ConclusionsWe developed a model for predicting PU development using gender, age, surgical duration, and on-admission total NNS-B score. These results can be used to improve the efficiency of nurses and reduce the number of PU cases by identifying patients who require further examination.
“…A potential reason for our finding that males are more prone to developing PUs is that they have less subcutaneous fat than females. In Japanese adults, a significant gender difference between males and females was found with respect to the amount of subcutaneous fat at all sites except for the side chest and lower back [27]. Given the above, the gender factor may require further investigation.…”
BackgroundPressure ulcers (PUs) are considered a serious problem in nursing care and require preventive measures. Many risk assessment methods are currently being used, but most require the collection of data not available on admission. Although nurses assess the Nursing Needs Score (NNS) on a daily basis in Japanese acute care hospitals, these data are primarily used to standardize the cost of nursing care in the public insurance system for appropriate nurse staffing, and have never been used for PU risk assessment.ObjectiveThe objective of this study was to predict the risk of PU development using only data available on admission, including the on-admission NNS score.MethodsLogistic regression was used to generate a prediction model for the risk of developing PUs after admission. A random undersampling procedure was used to overcome the problem of imbalanced data.ResultsA combination of gender, age, surgical duration, and on-admission total NNS score (NNS group B; NNS-B) was the best predictor with an average sensitivity, specificity, and area under receiver operating characteristic curve (AUC) of 69.2% (6920/100), 82.8% (8280/100), and 84.0% (8400/100), respectively. The model with the median AUC achieved 80% (4/5) sensitivity, 81.3% (669/823) specificity, and 84.3% AUC.ConclusionsWe developed a model for predicting PU development using gender, age, surgical duration, and on-admission total NNS-B score. These results can be used to improve the efficiency of nurses and reduce the number of PU cases by identifying patients who require further examination.
“…High inter- and intra-observer variability, which may result in inaccurate estimates, is perhaps the main reason why skinfold thickness assessment of body fat is not used more widely in population-based research ( 42 ) . However, the only study that included ASF in estimates of reliability found that the influence of measurement errors in skinfold thicknesses was smaller in abdominal and suprailiac skinfolds compared with other sites ( 43 ) . This finding is consistent with our study, in which we found ASF to have higher intra-observer reliability (R %) than other skinfold-thickness site measures and WC, and higher inter-observer reliability than other skinfold sites, although marginally lower than WC.…”
Objective
To compare BMI with abdominal skinfold thickness (ASF), waist circumference and waist-to-height ratio in the prediction of insulin resistance (IR) in prepubertal Colombian children.
Design
We calculated age- and sex-specific Z-scores for BMI, ASF, waist circumference, waist-to-height ratio and three other skinfold-thickness sites. Logistic regression with stepwise selection (P = 0·80 for entry and P = 0·05 for retention) was performed to identify predictors of IR and extreme IR, which were determined by age- and sex-specific Z-scores to identify the ≥ 90th and ≥ 95th percentile of homeostasis model assessment (HOMAIR), respectively. We used receiver operating characteristic curves to compare the area under the curve between models.
Setting
Bucaramanga, Colombia.
Subjects
Children (n 1261) aged 6–10 years in Tanner stage 1 from a population-based study.
Results
A total of 127 children (seventy girls and fifty-seven boys) were classified with IR, including sixty-three children (thirty-three girls and thirty boys) classified with extreme IR. Only ASF and BMI Z-scores were retained as predictors of IR by stepwise selection. Adding ASF Z-score to BMI Z-score improved the area under the curve from 0·794 (95% CI 0·752, 0·837) to 0·811 (95% CI 0·770, 0·851; P for contrast = 0·01). In predicting extreme IR, the addition of ASF Z-score to BMI Z-score improved the area under the curve from 0·837 (95% CI 0·790, 0·884) to 0·864 (95% CI 0·823, 0·905; P for contrast = 0·01).
Conclusions
ASF Z-score predicted IR independent of BMI Z-score in our population of prepubertal children. ASF and BMI Z-scores together improved IR risk stratification compared with BMI Z-score alone, opening new perspectives in the prediction of cardiometabolic risk in prepubertal children.
“…Skinfold thickness is used in the measurement assuming that subcutaneous fat constitutes a predictable proportion of total body fat. Measurement of subcutaneous fat thickness with a skinfold caliper is an inexpensive and simple technique [11].…”
Purpose: Obesity is accepted as one of the most serious problem in the world. Today's advanced technology, computer systems, unmanned production processes have caused people to move less than before and cause obesity. Among treatments, bariatric interventions are the most effective for weight reduction. Here, we observe the short term (2 months) changes in anthropometric parameters in females after bariatric surgery, assess the impact of weight loss on muscle strength, and measure how much fat reduction occurs in different regions of the body during the post-operative period.
Materials and Methods: In this observational follow-up prospective study, anthropometric measurements were recorded between October 2022 and March 2023 for patients who had laparoscopic sleeve gastrectomy procedure. Measurements were taken before the surgery and in the 1st and 2nd months after the surgery.
Results: Additionally, there was a significant decrease in skinfold thickness related to fat mass, while grip strengths also showed a significant increase during this short-term 8-week period post-surgery.
Conclusion: Our study is important in terms of being the first study to evaluate skinfold thicknesses comprehensively in the short term, and it is also noteworthy that it is the first study to apply the pinch strength test in addition to the hand grip strength test.
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