scholarly journals Contribution of evening macronutrient intake to total caloric intake and body mass index

Appetite ◽  
2013 ◽  
Vol 60 ◽  
pp. 246-251 ◽  
Author(s):  
Kelly Glazer Baron ◽  
Kathryn J. Reid ◽  
Linda Van Horn ◽  
Phyllis C. Zee
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Caloric Intake ◽  
Macronutrient Intake ◽  
Total Caloric Intake

scholarly journals Differences in Body Mass Index Z-Scores Among Children and Adolescent Participants of NHANES 2003–2016 with Different Temporal Eating Patterns

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 586-586
Author(s):  
Steve Douglas ◽  
Hollie Raynor
Keyword(s):  
Body Mass Index ◽  
Children And Adolescents ◽  
Energy Intake ◽  
Body Mass ◽  
Caloric Intake ◽  
Eating Patterns ◽  
Eating Pattern ◽  
Children And Adolescent ◽  
Total Caloric Intake ◽  
Z Scores

Abstract Objectives To determine if body mass index z-scores (zBMI) differ among children and adolescents who reported an early temporal eating pattern when compared to those who reported other temporal eating patterns. Methods Data from children (6–12 years) and adolescents (13–19 years) participating in the National Health and Nutrition Examination Survey 2003–2016 were used. Children and adolescents were analyzed separately because of the phase delay in circadian rhythms experienced during adolescence. Energy intake and timing of intake was assessed using two 24-hour dietary recalls. Children (n = 2,565) and adolescents (n = 2,321) were included if they reported plausible intakes (≥500 kcals/day) with the same temporal eating patterns on both days. Temporal eating patterns were defined by the following morning and evening parameters: consumed 20% of total caloric intake before 10 AM (EAM); didn't consume 20% before 10 AM (LAM); consumed at least 80% of total caloric intake before 7 PM (EPM); didn't consume 80% before 7 PM (LPM). These parameters provided four temporal eating patterns: EAM-EPM, EAM-LPM, LAM-EPM, LAM-LPM. A covariate adjusted general linear models, adjusted for the complex sampling design, was used to compare zBMI of those participating in the different patterns. Data are reported as means ± SEM and P < 0.0125 was considered significant. Results zBMI for EAM-EPM (n = 887; 0.460 ± 0.037) children was lower when compared to LAM-LPM (n = 455; 0.641 ± 0.056; P = 0.007) children. For adolescents, zBMI for EAM-EPM (n = 445; 0.516 ± 0.048; P = 0.005), EAM-LPM (n = 172; 0.370 ± 0.089; P = 0.001), and LAM-LPM (n = 839; 0.549 ± 0.039; P = 0.011) adolescents were lower when compared to LAM-EPM (n = 1,097; 0.683 ± 0.035) adolescents. No other differences were observed. Conclusions Children between the ages of 6 and 12 who reported consuming an early eating pattern have a lower zBMI when compared to those who reported consuming a later eating pattern. Adolescents who didn't consume 20% of their total energy intake before 10 am and did consume more than 80% of their total intake before 7 pm have a greater zBMI than their peers who consistently reported consuming alternative eating patterns. Funding Sources None

scholarly journals Korelasi asupan makronutrien dengan indeks massa tubuh, kadar gula darah, dan protein total darah pada pengguna narkoba

2021 ◽  
Vol 17 (3) ◽  
pp. 147
Author(s):  
Ginta Siahaan ◽  
Tiarlince Bakara ◽  
Yusnita Yusnita ◽  
Kasmiyeti Kasmiyeti
Keyword(s):  
Body Mass Index ◽  
Blood Sugar ◽  
Body Mass ◽  
Drug Users ◽  
Blood Sugar Level ◽  
Blood Protein ◽  
Macronutrient Intake ◽  
Total Blood ◽  
Random Blood Sugar ◽  
Sugar Levels

Correlation of macronutrient intake with body mass index, blood sugar levels, and total blood protein in drug usersBackground: Random blood sugar level and total blood protein need to be measured among drug users because their macronutrient intakes (carbohydrates, fat, protein, and energy) are not appropriate to the pattern of daily habits before uses drugs. Drug users had decreased appetite during the influence and withdrawal symptoms of drugs with the impacts on their body mass index (BMI). Objective: To analyze the correlation of macronutrient intakes between the random blood sugar level, total blood protein, and BMI drug users.Methods: This research was conducted with a cross-sectional design and observational study. 73 drug users were included in the study with the screening by inclusion criteria. 24-hour food recall was used to collect the macronutrient intakes, random blood sugar levels and total blood protein were monitored by the GOD-PAP method, and BMI was measured by weight and height. Data analysis used Pearson’s correlation test in bivariate and multivariate was carried out by multiple linear regressions. Results: Pearson’s correlation analysis showed that there was a significant correlation between macronutrient intakes (energy, carbohydrate, fat) with random blood sugar level, total blood protein, and BMI. BMI was the most affected by energy (β=0.531), random blood sugar level was the most affected by carbohydrates (β=0.073), and total blood protein was the most affected by protein (β=0.837).Conclusions: Macronutrient intake is significantly related to BMI, random blood sugar levels, and total blood protein in drug users. Community collaboration with related parties such as the public health service and National Narcotics Agency will very quickly detect drug side effects early on eating disorders that will affect the nutritional status of its users.

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)

The Correlates of Body Mass Index and Risk Factors for Being Overweight Among Preschoolers With Motor Delay

2014 ◽  
Vol 31 (2) ◽  
pp. 125-143 ◽  
Author(s):  
Ai-Wen Hwang ◽  
Chiao-Nan Chen ◽  
I-Chin Wu ◽  
Hsin-Yi Kathy Cheng ◽  
Chia-Ling Chen
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Body Mass ◽  
Caloric Intake ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Potential Implication ◽  
Motor Delay ◽  
Caregiver Education ◽  
Multiple Risk Factors

This cross-sectional study investigated the correlates of body mass index (BMI) and risk factors for overweight among 91 children with motor delay (MD) aged 9–73 months. Anthropometric measurements and questionnaires regarding multiple risk factors were obtained. Simple correlations between BMI percentile classifications and potential predictors were examined using Spearman’s rank/Pearson’s correlations and χ2 analysis. Multiple predictors of overweight were analyzed using logistic regression. BMI was correlated positively with higher caloric intake (rs = .21, p < .05) and negatively with passive activity (rs = -.21, p < .05). When multiple predictors were considered, more severe dysphagia (odds ratio [OR], 2.81, p = .027, 95% confidence interval [CI], 1.13–7.04) and antiepileptic drug use (OR, 19.12, p = .008, 95% CI, 2.14–170.81) had significant partial effects on overweight status. Agencies supporting early development should consider caregiver education regarding the potential implication of feeding style and medication on BMI.

scholarly journals Determinants of weight status for the residents of the northwest arctic borough of Alaska

2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Jeanne A. Lewis ◽  
Anshul Pandya
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Mass ◽  
Fast Food ◽  
Weight Status ◽  
Caloric Intake ◽  
The Body ◽  
Strong Positive Correlation ◽  
Linear Regression Models ◽  
Strong Negative Correlation

While the consumption of a market-based diet is increasing, subsistence food still forms a part of caloric intake for Northwest Arctic Borough of Alaska residents. The purpose of this study was to assess the influence of consumption of a market-based diet compared to a subsistence diet on the body mass index (BMI) of the people living in this region.  For this, 82 adult participants were recruited, and their weight and height were measured to calculate the Body Mass Index (BMI). The participants were asked to complete a questionnaire that included questions about their family background, lifestyle, physical fitness and dietary patterns. Linear regression models were used to examine BMI's association with variables of diet and physical activity, followed by correlational analysis between BMI and these variables. No significant correlation was identified between BMI and how often people ate a subsistence-based diet. A strong positive correlation was found between BMI and how often people eat food prepared in a restaurant or ate fast food and junk food. A strong negative correlation was found between BMI and frequency of exercise by the participants. Physical activity and consumption of a western diet rather than a subsistence diet are more significant determinants of BMI among Northwest Arctic Borough of Alaska residents. These results can be used as a baseline for further studies linking diet and health outcomes among this region's residents.

scholarly journals QUALITY MACRONUTRIENT DIET СOMPARISON OF THE RECOMMENDED DAILY INTAKE DIABETES TYPE II PATIENTS AND HEALTHY PERSONS

2016 ◽  
Vol 10 (3) ◽  
Author(s):  
J. Kozonova ◽  
L. Telegenko
Keyword(s):  
Body Mass Index ◽  
Fatty Acids ◽  
Body Mass ◽  
Saturated Fatty Acids ◽  
Daily Intake ◽  
Caloric Intake ◽  
The Body ◽  
Omega 3 ◽  
Diabetes Type Ii ◽  
Patients With Diabetes

The article states that the development of insulin resistance is influenced by many parameters, however, one of the first is the increased weight. The main parameter that characterizes the degree of obesity is the body mass index. There is a direct correlation between body mass index and the probability of diabetes developing. Diabetes is a part of symptoms, metabolic syndrome. The comparative analysis of makronutrient composition of diabetic patient’s diets and healthy individuals were made. Thus, for patients with diabetes it is necessary to reduce overall caloric intake by fat and carbohydrates. It is recommended to reduce total fats by reducing saturated fatty acids at the same time to increase the content of omega-3 fatty acids. It is shown that the consumption of foods with dietary fiber (30 grams per day), reduces the need for insulin by 25 ... 50 %, and has a positive effect on blood glucose and lipids in the blood.

Sign in / Sign up

Export Citation Format

Share Document