scholarly journals Reasons for admission and variance of body weight at referral in female inpatients with anorexia nervosa in Germany

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Triinu Peters ◽  
David Kolar ◽  
Manuel Föcker ◽  
Katharina Bühren ◽  
Brigitte Dahmen ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Anorexia Nervosa ◽  
Inpatient Treatment ◽  
Standard Deviation Score ◽  
Data Sets ◽  
Factor Analyses ◽  
Improve Treatment ◽  
First Time ◽  
The Relationship

Abstract Background Body mass index (BMI) at hospital admission in patients with anorexia nervosa (AN) represents a prognostic marker for mortality, chronicity and future body weight. The current study focused on the associations between BMI standard deviation score (BMI-SDS) at admission and reasons for seeking inpatient treatment. Further interest was given to the relationship between premorbid weight and weight at admission, as well as the effect of both weight at referral and reasons for admission on treatment outcome. Methods Data ascertained in the German Register of Children and Adolescents with AN were analysed to assess the parental and patient overlap for 23 predefined reasons for admission, using factor analyses and regressions models. Results Complete parent-patient data sets were available for 360 patients out of 769. The highest consensus rates between parents and patients were obtained for weight and eating behavior related reasons and hyperactivity. Based on factor analysis, four factors emerged. Premorbid BMI-SDS, age and ‘low body weight’ as stated by patients or parents explained almost 40% of the variance of the BMI-SDS at admission. Conclusions Results underscore the relevance of age and premorbid BMI for BMI at admission. Only single reasons for admission explained further variance, with ‘low body weight’ having the largest effect. Approximately 40% of the variance of BMI-SDS was explained. For the first time, the effect of premorbid BMI for BMI at admission was robustly demonstrated in a multicenter study. Of the variance in BMI-SDS at discharge, our model could explain 37%, with reasons for admission having a small effect. Further investigation of the reasons for admission would be worthwhile to improve treatment and prognosis.

scholarly journals Serum Omentin Levels in Adolescent Girls With Anorexia Nervosa and Obesity

2015 ◽  
pp. 701-709 ◽  
Author(s):  
J. OŚWIĘCIMSKA ◽  
A. SUWAŁA ◽  
E. ŚWIĘTOCHOWSKA ◽  
Z. OSTROWSKA ◽  
P. GORCZYCA ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Body Weight ◽  
Anorexia Nervosa ◽  
Body Mass ◽  
Standard Deviation Score ◽  
Cross Sectional Study ◽  
Serum Concentrations ◽  
Cross Sectional ◽  
Wide Range

It is believed that omentin is secreted by stromal cells of adipose tissue and modulates insulin sensitivity. Data from a few studies have shown lower serum omentin in obese children and higher in anorexia nervosa. However, to date, there is lack of research on serum omentin concentrations in adolescent patients in a wide range of body mass index (BMI) and insulin resistance. In this cross-sectional study omentin-1 serum concentrations were evaluated using commercially available ELISA kit in 47 Polish girls with restrictive anorexia nervosa (AN), 50 with simple obesity (OB) and 39 healthy controls (C). The mean serum omentin-1 concentration in girls with AN was statistically significantly higher than that of C and OB girls. Statistically significant (P<0.0001) negative correlations between the serum concentrations of omentin-1 and body weight (r=−0.73), BMI (r=−0.75), standard deviation score for body mass index (BMI-SDS) (r=−0.75), insulin (r=−0.81) and HOMA-IR index (r=−0.82) were seen in the entire examined population. We conclude, that omentin-1 is the nutritional marker reflecting body weight and insulin resistance. Our findings support the hypothesized role of omentin in maintenance of body weight and regulation of appetite and suggest the adaptation of its secretion to body weight and glucose metabolism.

PSVI-8 Meta-regression Analysis to Determine the Relationship Between Growing Pig Body Weight and Variation

2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 218-219
Author(s):  
Andres Fernando T Russi ◽  
Mike D Tokach ◽  
Jason C Woodworth ◽  
Joel M DeRouchey ◽  
Robert D Goodband ◽  
...  
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Sample Size ◽  
Polynomial Regression ◽  
Data Sets ◽  
Regression Equations ◽  
Prediction Equations ◽  
Data Set ◽  
Rate Of Increase ◽  
The Relationship

Abstract The swine industry has been constantly evolving to select animals with improved performance traits and to minimize variation in body weight (BW) in order to meet packer specifications. Therefore, understanding variation presents an opportunity for producers to find strategies that could help reduce, manage, or deal with variation of pigs in a barn. A systematic review and meta-analysis was conducted by collecting data from multiple studies and available data sets in order to develop prediction equations for coefficient of variation (CV) and standard deviation (SD) as a function of BW. Information regarding BW variation from 16 papers was recorded to provide approximately 204 data points. Together, these data included 117,268 individually weighed pigs with a sample size that ranged from 104 to 4,108 pigs. A random-effects model with study used as a random effect was developed. Observations were weighted using sample size as an estimate for precision on the analysis, where larger data sets accounted for increased accuracy in the model. Regression equations were developed using the nlme package of R to determine the relationship between BW and its variation. Polynomial regression analysis was conducted separately for each variation measurement. When CV was reported in the data set, SD was calculated and vice versa. The resulting prediction equations were: CV (%) = 20.04 – 0.135 × (BW) + 0.00043 × (BW)2, R2=0.79; SD = 0.41 + 0.150 × (BW) - 0.00041 × (BW)2, R2 = 0.95. These equations suggest that there is evidence for a decreasing quadratic relationship between mean CV of a population and BW of pigs whereby the rate of decrease is smaller as mean pig BW increases from birth to market. Conversely, the rate of increase of SD of a population of pigs is smaller as mean pig BW increases from birth to market.

scholarly journals Prevalence and Factors Associated with Hypertension among Adolescents in Malaysia

2020 ◽  
Vol 18 (1) ◽  
Author(s):  
Liew JK ◽  
Cheong XP ◽  
Law L ◽  
Teo WH ◽  
Eng SS ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Body Weight ◽  
Statistical Analysis ◽  
Strong Association ◽  
Lifestyle Factors ◽  
Factors Associated ◽  
High Prevalence ◽  
The Relationship ◽  
Malaysian Adolescents

Introduction: Evidence has shown an increase in paediatric hypertension globally and this could give rise to increase prevalence of adult hypertension. The purpose of this paper was to determine the prevalence of hypertension among adolescents in Malaysia as well as the association between hypertension and lifestyle factors selected based on published literature. Methods: Adolescents aged 13-17 years old were selected randomly from two secondary schools to have their blood pressure measured. Their lifestyle information was obtained through completed bilingual questionnaires based on validated instruments, as well as anthropometry measurements. The relationship between hypertension and lifestyle factors was determined through statistical analysis. Results: A total of 273 students were included in the study with 120 (44%) males and 153 (56%) females. The prevalence of hypertension was 24.5% among the respondents with the highest being recorded among Malays (28.7%). Generally, hypertension was associated with an increased Body Mass Index (BMI) (AOR=4.053, 95%CI=1.677-9.795, p=0.002) and waist circumference (WC) (AOR=2.918, 95%CI=1.171-7.269, p=0.021) in all respondents. Similar associations were noted in females (BMI: AOR=7.707, 95%CI=2.043-29.072, p=0.003; WC: AOR=3.690, 95%CI=1.011-13.464, p=0.048) but not in males. Conclusion: Hypertension recorded high prevalence among Malaysian adolescents in our study. The strong association between elevated body weight, BMI and WC with hypertension may require further study to evaluate the need for screening

scholarly journals Paternal body mass index before conception associated with offspring's birth weight in Chinese population: a prospective study

2021 ◽  
Author(s):  
Renying Xu ◽  
Weixiu Zhao ◽  
Tao Tan ◽  
Haojie Li ◽  
Yanping Wan
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Birth Weight ◽  
Body Mass ◽  
Sensitivity Analyses ◽  
Gestational Weight ◽  
A Prospective Study ◽  
The Relationship ◽  
Multivariable Adjustment ◽  
Chinese Mother

Whether paternal epigenetic information of nutrition might be inherited by their offspring remained unknown. evaluate the relationship between preconception paternal body weight and their offspring's birth weight in 1,810 Chinese mother-father-baby trios. Information on paternal and maternal preconception body weight and height was collected via a self-reported questionnaire. Birth weight was collected from medical records. Paternal preconception body weight was associated with offspring's birth weight (p trend=0.02) after multivariable adjustment. Each standard deviation increment of paternal body mass index was associated with an additional 29.6 g increase of birth weight (95% confident interval: 5.7g, 53.5g). The association was more pronounced in male neonates, and neonates with overweight mothers, and with mothers who gained excessive gestational weight, compared to their counterparts (all p interaction<0.05). Sensitivity analyses showed similar pattern to that of the main analysis. Paternal preconception body weight was associated with birth weight of their offspring.

The relationship between premorbid body weight and weight at referral, at discharge and at 1-year follow-up in anorexia nervosa

2014 ◽  
Vol 24 (5) ◽  
pp. 537-544 ◽  
Author(s):  
Manuel Föcker ◽  
Katharina Bühren ◽  
Nina Timmesfeld ◽  
Astrid Dempfle ◽  
Susanne Knoll ◽  
...  
Keyword(s):  
Body Weight ◽  
Anorexia Nervosa ◽  
The Relationship

Negative Interaction and Body Weight in Later Life

1997 ◽  
Vol 45 (4) ◽  
pp. 305-321 ◽  
Author(s):  
Neal Krause ◽  
Estina Thompson
Keyword(s):  
Older Adults ◽  
Body Mass Index ◽  
Body Weight ◽  
Body Mass ◽  
Elderly Women ◽  
Later Life ◽  
Older Men ◽  
Negative Interaction ◽  
Individual Variations ◽  
The Relationship

This study assesses the relationship between negative interaction and body mass index values among older adults. Throughout, an emphasis is placed on probing for individual differences in response to unpleasant encounters with significant others. Individual variations in personality (introversion-extraversion) as well as social status (gender) are evaluated within this context. Tests of the complex three-way interaction between negative interaction, gender, and introversion reveal that more negative interaction is associated with higher body mass index values among elderly women who are introverted. In contrast, a significant relationship between negative interaction, introversion, and body mass failed to emerge for older men.

scholarly journals The Relationship Between Body Mass Index with Body Fat Percentage of Participants EXPO 2021 Universitas Teuku Umar

2021 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Suci Eka Putri ◽  
Adelina Irmayani Lubis
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Nutritional Status ◽  
Body Mass ◽  
Body Fat ◽  
Body Height ◽  
The Body ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
The Relationship

Body mass index (BMI) is to monitor nutritional status adults, especially those related to deficiency and overweight. Body fat percentage can describe the risk of degenerative diseases.This study was conducted to measure the relationship between BMI and body fat percentage. Methods An analytical study was conducted to 41 male and 51 female participant from Universitas Teuku Umar. The body weight was measured using scales, whereas the body height was measured using microtoise. The body fat percentage was measured using Karada Scan. The BMI was calculated by dividing the body weight in kilogram divided by body height in meter square. Data was collected from 16-18th February 2021 and analyzed by Pearson’s correlation test. The results showed BMI underweight, normal, and overweight were 10,9, 57,6, and 31,5. High body fat percentage in men were 75,6% and in women were 35,5%. There is a relationship between the nutritional status of the women group and the body fat percentage with p-value is obtained = 0.021. Furthermore, for men, there is no relationship between nutritional status in the men group and the body fat percentage. There is a relationship between nutritional status and body fat percentage in women. Among this population, BMI can still be used to determine body fat percentage

scholarly journals The Role of Objectively Measured, Altered Physical Activity Patterns for Body Mass Index Change during Inpatient Treatment in Female Patients with Anorexia Nervosa

2018 ◽  
Vol 7 (9) ◽  
pp. 289 ◽  
Author(s):  
Celine Lehmann ◽  
Tobias Hofmann ◽  
Ulf Elbelt ◽  
Matthias Rose ◽  
Christoph Correll ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Anorexia Nervosa ◽  
Light Intensity ◽  
Linear Model ◽  
Body Mass ◽  
Inpatient Treatment ◽  
Inpatient Stay ◽  
Female Patients ◽  
Intensity Physical Activity

Increased physical activity (PA) affects outcomes in patients with anorexia nervosa (AN). To objectively assess PA patterns of hospitalized AN patients in comparison with healthy, outpatient controls (HC), and to analyze the effect of PA on Body Mass Index (BMI) change in patients with AN, we measured PA in 50 female patients with AN (median age = 25 years, range = 18–52 years; mean BMI = 14.4 ± 2.0 kg/m2) at the initiation of inpatient treatment and in 30 female healthy controls (median age = 26 years, range = 19–53 years; mean BMI = 21.3 ± 1.7 kg/m2) using the SenseWear™ armband. Duration of inpatient stay and weight at discharge were abstracted from medical records. Compared with controls, AN patients spent more time in very light-intensity physical activity (VLPA) (median VLPA = 647 vs. 566 min/day, p = 0.004) and light-intensity physical activity (LPA) (median LPA = 126 vs. 84 min/day, p < 0.001) and less time in moderate-intensity physical activity (MPA) (median MPA = 82 vs. 114 min/day, p = 0.022) and vigorous physical activity (VPA) (median VPA = 0 vs. 16 min/day, p < 0.001). PA and BMI increase were not associated in a linear model, and BMI increase was mostly explained by lower admission BMI and longer inpatient stay. In a non-linear model, an influence of PA on BMI increase seemed probable (jack knife validation, r2 = 0.203; p < 0.001). No direct association was observed between physical inactivity and BMI increase in AN. An altered PA pattern exists in AN patients compared to controls, yet the origin and consequences thereof deserve further investigation.

Sign in / Sign up

Export Citation Format

Share Document