scholarly journals Prediction of Body Mass Index: A comparative study of multiple linear regression, ANN and ANFIS models

2017 ◽  
Vol 120 ◽  
pp. 394-401 ◽  
Author(s):  
Sahar S. Tabrizi ◽  
Nuriye Sancar
Keyword(s):  
Body Mass Index ◽  
Linear Regression ◽  
Comparative Study ◽  
Multiple Linear Regression ◽  
Body Mass

scholarly journals Body mass index interaction with SCN10A effects on cardiovascular autonomic neuropathy risk in a Chinese Han population

2018 ◽  
Vol 01 (01) ◽  
pp. 53-58
Author(s):  
Guo-Zhuo Wang ◽  
Zhi-Jun Liu ◽  
Kai Xia ◽  
Ke-Qin Zhang ◽  
Zi-Hui Tang
Keyword(s):  
Body Mass Index ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Autonomic Neuropathy ◽  
Body Mass ◽  
Large Scale ◽  
Linear Regression Analysis ◽  
Cardiovascular Autonomic Neuropathy ◽  
Chinese Han ◽  
Positive Interaction

Background: The aim of this study was to estimate the extent to which the interaction between SCN10A (rs7375096) and body mass index (BMI) affects susceptibility to cardiovascular autonomic neuropathy (AN) in a Chinese Han sample. Method: We conducted a large-scale, population-based study including 791 overweight patients and 1186 controls to analyze the interaction between SCN10A and BMI with regard to CAN. All participants were genotyped for the presence of SCN10A (rs7375036) polymorphisms. Univariate and multiple linear regression analyses were employed to detect these relationships. The interaction between rs7375036 and BMI with regard to CAN susceptibility on an additive scale was estimated by using the relative excess risk due to interaction, the proportion attributable to interaction, and the synergy index. Results: Univariate analyses found no significant association between rs7375036 single nucleotide polymorphism and CAN. After controlling for potential confounding factors, the multiple linear regression analysis showed a significant association between BMI and CAN ([Formula: see text], OR = 1.121). In addition, a significant positive interaction effect of BMI and rs7375036 on CAN was detected ([Formula: see text]). Conclusion: Our findings suggest that BMI and SCN10A (rs7375036) have interaction effects that influence the CAN.

Body mass index of women in Bangladesh: comparing Multiple Linear Regression and Quantile Regression

2020 ◽  
pp. 1-19 ◽  
Author(s):  
Sorif Hossain ◽  
Raaj Kishore Biswas ◽  
Md Amir Hossain
Keyword(s):  
Body Mass Index ◽  
Linear Regression ◽  
Quantile Regression ◽  
Multiple Linear Regression ◽  
Body Mass ◽  
Demographic Factors ◽  
Educational Status ◽  
The Body ◽  
Reproductive Age ◽  
Socio Demographic Factors

Abstract This study explored the association between socio-demographic factors and the body mass index (BMI) of women of reproductive age (15–49 years) in Bangladesh. Data from the 2014 Bangladesh Demographic and Health Survey (BDHS-14) were analysed using Multiple Linear Regression (MLR) and Quantile Regression (QR) analyses. The study sample comprised 15,636 non-pregnant women aged 15–49. The mean BMI of the women was 22.35±4.12 kg/m2. Over half (56.75%) had a BMI in the normal range (18<BMI<25 kg/m2), and 18.50%, 20.00% and 4.75% were underweight (BMI≤18 kg/m2), overweight (25≤BMI<30 kg/m2) and obese (BMI≥30 kg/m2), respectively. The results of the MLR found that age, wealth index, urban/rural place of residence, geographical division, womenʼs educational status, husbandʼs educational status, womenʼs working status and total number of children ever born were significantly (p<0.001) associated with respondents’ mean BMI. The QR results showed different associations between socio-demographic factors and mean BMI, as well as a different conditional distribution of mean BMI. Overall, the results indicated that women with uneducated husbands, with little or no education and from less-affluent households from rural areas tended to be more underweight compared with women in other groups. The inter-relationship between the study womenʼs mean BMI and associated socio-demographic factors was assessed using QR analysis to identify the most vulnerable cohorts of women in Bangladesh.

scholarly journals The influence of menopause and body mass index on serum leptin concentrations

2000 ◽  
pp. 55-60 ◽  
Author(s):  
P Hadji ◽  
O Hars ◽  
K Bock ◽  
G Sturm ◽  
T Bauer ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Postmenopausal Women ◽  
Body Mass ◽  
Menopausal Status ◽  
Premenopausal Women ◽  
Estradiol Level ◽  
Serum Estradiol ◽  
Serum Leptin

OBJECTIVE: The aim of this study was to evaluate the influence of menopausal status, serum estradiol and body mass index (BMI) on serum leptin concentration in a large sample of pre- and postmenopausal women. DESIGN: 434 healthy women (mean age +/-s.d., 52.2 +/- 10.3 years) were recruited at the University of Marburg on the occasion of a routine gynecological visit. Two hundred and eighteen (50.2%) women were premenopausal (mean age, 36.5 +/- 10.4 years) and not on oral contraceptives or hormone replacement therapy (HRT) and 216 (49.8%) women were postmenopausal (mean age 61.8 +/- 8.9 years) not on HRT. To evaluate the influence of menopausal status, estradiol level and BMI on serum leptin concentrations, women were allocated to one of the four groups: (a) premenopausal women BMI <25 kg/m(2) (n=137), (b) premenopausal women BMI >25 kg/m(2) (n=81), (c) postmenopausal women BMI <25 kg/m(2) (n=94) and (d) postmenopausal women BMI >25 kg/m(2) (n=122). RESULTS: Irrespective of the menopausal status, women with a BMI >25 kg/m(2) had significantly higher leptin concentrations in all age groups compared with women with a BMI <25 kg/m(2) (P<0.001). The multiple linear regression analyses showed that BMI was the only statistically significant independent predictor for leptin. In comparison to postmenopausal women, premenopausal women showed a significantly lower mean age, weight, BMI and FSH concentration (P<0. 001), a higher mean height and serum estradiol (P<0.01 and P<0.001 respectively) but significantly lower serum leptin concentration (P<0.01). The multiple linear regression model showed no significant influence of menopausal status or serum estradiol on serum leptin concentration, even after controlling for BMI. CONCLUSIONS: Serum leptin concentrations are significantly higher in pre- and postmenopausal obese women, compared with normal weight controls. Serum leptin concentrations are not influenced by menopausal status or serum estradiol level.

Enrolling Caregivers in Obesity Interventions to Improve Obesity-Related Outcomes in Children

2021 ◽  
pp. 019394592110370
Author(s):  
Hannah Bessette ◽  
MinKyoung Song ◽  
Karen S. Lyons ◽  
Sydnee Stoyles ◽  
Christopher S. Lee ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Weight Loss ◽  
Linear Regression ◽  
Body Mass ◽  
Sedentary Time ◽  
Vigorous Physical Activity ◽  
Weight Loss Program ◽  
Weight Loss Programs ◽  
Obesity Interventions

In this study, we assessed the influences of change in moderate-to-vigorous physical activity (MVPA)/sedentary time (ST) of caregivers participating in a commercial weight-loss program on their children’s change in MVPA/ST. Data from 29 caregivers and their children were collected over 8 weeks. We used multivariable linear regression to assess associations of changes in caregiver’s percent of time spent in MVPA/ST and changes in their child’s percent of time spent in MVPA/ST. For caregivers that decreased body mass index (BMI) over 8 weeks, changes in caregivers’ MVPA was strongly associated with the change in children’s MVPA (β = 2.61 [95% CI: 0.45, 4.77]) compared to caregivers who maintained/increased BMI (β = 0.24 [–2.16, 2.64]). Changes in caregivers’ ST was strongly associated with changes in children’s ST (β = 2.42 [1.02, 3.81]) compared to caregivers who maintained/increased BMI (β = 0.35 [–0.45, 1.14]). Findings reinforce encouraging caregivers to enroll in weight-loss programs for the benefit of their children as well as for themselves.

scholarly journals Relationship Between Weekly Patterns of Caloric Intake and Reported Weight Loss Outcomes: Retrospective Cohort Study (Preprint)

2017 ◽  
Author(s):  
Christine Hill ◽  
Brian W Weir ◽  
Laura W Fuentes ◽  
Alicia Garcia-Alvarez ◽  
Danya P Anouti ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Loss ◽  
Linear Regression ◽  
Mobile Phone ◽  
Body Mass ◽  
Caloric Intake ◽  
Body Mass Index Category ◽  
Obese Adults ◽  
Weight Loss Outcomes ◽  
The Relationship

BACKGROUND Although millions of overweight and obese adults use mobile phone apps for weight loss, little is known about the predictors of success. OBJECTIVE The objective of this study was to understand the relationship between weight loss outcomes and weekly patterns of caloric intake among overweight and obese adults using a mobile phone app for weight loss. METHODS We examined the relationship between weekly patterns of caloric intake and weight loss outcomes among adults who began using a weight loss app in January 2016 and continued consistent use for at least 5 months (N=7007). Unadjusted and adjusted linear regression analyses were used to evaluate the predictors of percentage of bodyweight lost for women and men separately, including age, body mass index category, weight loss plan, and difference in daily calories consumed on weekend days (Saturday and Sunday) versus Monday. RESULTS In adjusted linear regression, percentage of bodyweight lost was significantly associated with age (for women), body mass index (for men), weight loss plan, and differences in daily caloric intake on Mondays versus weekend days. Compared with women consuming at least 500 calories more on weekend days than on Mondays, those who consumed 50 to 250 calories more on weekend days or those with balanced consumption (±50 calories) lost 1.64% more and 1.82% more bodyweight, respectively. Women consuming 250 to 500 calories or more than 500 calories more on Mondays than on weekend days lost 1.35% more and 3.58% more bodyweight, respectively. Compared with men consuming at least 500 calories more on weekend days than on Mondays, those consuming 250 to 500 calories or more than 500 calories more on Mondays than on weekend days lost 2.27% and 3.42% less bodyweight, respectively. CONCLUSIONS Consistent caloric intake on weekend days and Mondays or consuming slightly fewer calories per day on Mondays versus weekend days was associated with more successful weight loss. CLINICALTRIAL ClinicalTrials.gov NCT03136692; https://clinicaltrials.gov/ct2/show/NCT03136692 (Archived by WebCite at http://www.webcitation.org/6y9JvHya4)

scholarly journals TO COMPARE THE EFFECT OF CHITOSAN, LIFESTYLE MODIFICATION, AND COMBINATION OF CHITOSAN AND LIFESTYLE MODIFICATION ON BODY MASS INDEX IN OBESE PATIENTS

2019 ◽  
pp. 230-233
Author(s):  
VASUNDHARA BHOPLE ◽  
DEEPAK BHOSLE
Keyword(s):  
Body Mass Index ◽  
Comparative Study ◽  
Body Mass ◽  
Lifestyle Modification ◽  
T Test ◽  
Pronounced Effect ◽  
Obese Patients ◽  
Open Label ◽  
Study Population ◽  
Pronounced Reduction

Objective: The objective of this study was to compare the effect of chitosan, lifestyle modification, and combination of chitosan and lifestyle modification on body mass index (BMI) in obese patients. Methods: A prospective, randomized, open-label comparative study conducted for the period of 24 weeks. The study population was enrolled in three groups (chitosan 500 mg BD, lifestyle modification, and chitosan 500 mg BD and lifestyle modification). Data were analyzed using “t”-test and ANOVA. Results: There is a reduction in BMI in all the three groups. However, when we combined chitosan and lifestyle modification, there is pronounced reduction in BMI, which is statistically significant (p<0.0001). Conclusions: Chitosan and lifestyle modification have more pronounced effect on reduction on BMI as compared to monotherapy alone.

scholarly journals Comparative Study About Youth Body Height by Age Group and BMI at Medical Faculty of UMM

2020 ◽  
Vol 16 (1) ◽  
pp. 50
Author(s):  
Anung Putri Ilahika ◽  
Wiby Fahmi Wijaya
Keyword(s):  
Body Mass Index ◽  
Medical Students ◽  
Comparative Study ◽  
Body Mass ◽  
Growth And Development ◽  
Continuous Process ◽  
Age Groups ◽  
Medical Faculty ◽  
The Body ◽  
Measurement Results

Growth and development is a continuous process in the process of reaching adulthood, including the teenage stage. The problem that is often faced is physical change. Adolescent physical changes that appear are the increase in height and weight which affects the Body Mass Index (BMI). Height is one of the important things in adolescent growth and development. which is affected by genetic and environmental factors. The peak of growth in adolescents is different between boys and girls, so the pattern of height and BMI are also different. The purpose of this study was to determine differences in adolescent height based on age groups and BMI in Medical Faculty of UMM. This research is a comparative study by taking a sample of 100 medical students of UMM who have an age range of 17-20 years. The data to be taken is height measured using a MIC scale health scale ratio ratio. The measurement results have a numerical scale with units of centimeters (cm). Body mass index (BMI) is an index obtained from the division of body weight with height2. The measurement results are stated in kg / m2. All data obtained will be analyzed using the ANOVA comparative test. ANOVA test results generated p value in the two groups of students> 0.05 which concluded that the mean height of the student body based on age and BMI was not significantly different (not significant) statistically for both men and women. The conclusion from this study there were no differences in adolescent height based on age groups and BMI among medical students of UMM.

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