scholarly journals Self-reported changes in energy balance behaviors during COVID-19 related home confinement: A Cross-Sectional Study

2020 ◽  
Author(s):  
Surabhi Bhutani ◽  
Jamie A Cooper ◽  
Michelle R Vandellen
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Energy Expenditure ◽  
Health Behavior ◽  
Energy Intake ◽  
Overweight And Obesity ◽  
Multiple Time ◽  
Sudden Increase ◽  
Cross Sectional ◽  
At Home

ABSTRACTBackgroundThe COVID-19 pandemic has caused people to shelter-at-home for an extended period, resulting in a sudden rise in unstructured time. This unexpected disruption in everyday life has raised concerns about weight management, especially in high-risk populations of women and individuals with overweight and obesity. This study aimed to investigate the changes in behaviors that may impact energy intake and/or energy expenditure in U.S. adults during the home confinement.MethodsCross-sectional data from 1,779 adults were collected using an online Qualtrics survey between April 24th and May 4th, 2020. Self-reported data on demographics, eating behaviors, physical activity, sleep, screen time, takeout food intake, and food purchasing behaviors were collected. Chi-Square analyses were conducted to evaluate differences in the percent of participants reporting increasing, decreasing, or staying the same in each health behavior since the COVID-19 outbreak in their area. Each analysis was followed by comparing whether increases or decreases were more likely for each health behavior. Similar comparisons were made between male and female participants and between body mass index (BMI) categories.ResultsWe observed an increase in the intake of both healthy and energy-dense unhealthy foods and snacks during the home confinement. Participants also reported increases in sedentary activities and decrease in physical activity, alcohol intake, and consumption of takeout meals during this time. In women, several behavioral changes support greater energy intake and less energy expenditure than men. No clear difference in patterns was observed across BMI status.ConclusionAcute changes in behaviors underscore the significance of a sudden increase in unstructured time at home on potential weight gain. Our findings support the need to implement and support measures that promote strategies to maintain body weight and establish a methodology to collect body weight data at multiple time points to longitudinally assess the dynamic relationship between behaviors and body weight change.

scholarly journals The Trp64Arg Polymorphism of the β3-Adrenergic Receptor Gene Is Not Associated with Body Weight or Body Mass Index in Japanese: A Longitudinal Analysis

2003 ◽  
Vol 88 (12) ◽  
pp. 5914-5920 ◽  
Author(s):  
Yumi Matsushita ◽  
Tetsuji Yokoyama ◽  
Nobuo Yoshiike ◽  
Yasuhiro Matsumura ◽  
Chigusa Date ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Weight ◽  
Energy Intake ◽  
Body Mass ◽  
Longitudinal Analysis ◽  
Adrenergic Receptor ◽  
Cross Sectional ◽  
Genotype Frequencies ◽  
The Cross

Abstract The β3-adrenergic receptor (ADRB3) is expressed mainly in visceral adipose tissue and is thought to contribute to lipolysis and the delivery of free fatty acids to the portal vein. Although many studies have examined the relationship between the Trp64Arg mutation of ADRB3 and obesity, the results have been inconsistent. We examined the cross-sectional relationship of ADRB3 variants with indexes of obesity, and their longitudinal changes over 10 yr, in men and women, aged 40–69 yr, who were randomly selected from the Japanese rural population. The study considered both dietary energy intake and physical activity levels. Among the 746 participants, the genotype frequencies of the Trp64Trp, Trp64Arg, and Arg64Arg variants were 483, 224, and 39, respectively. The cross-sectional analysis showed no significant differences in height, weight, body mass index, blood pressure, serum total and high density lipoprotein cholesterols, and hemoglobin A1c among the genotype groups even after adjustments for gender, age, smoking, alcohol drinking, physical activity, and energy intake. No significant differences in the weight changes between the genotype groups were evident in the longitudinal analysis. We conclude that the Trp64Arg mutation of ADRB3 has little or no influence on either body weight or body mass index in the general Japanese population.

scholarly journals Energy Expenditure and Physical Activity in Recovering Malnourished Infants

2010 ◽  
Vol 2010 ◽  
pp. 1-7 ◽  
Author(s):  
Russell Rising ◽  
Gul Tiryaki Sonmez
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Energy Metabolism ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Body Fat ◽  
Respiratory Quotient ◽  
Lower Amount ◽  
Healthy Controls ◽  
Metabolic Data

Background. Malnourished infants are small for age and weight.Objectives. Determine profiles in 24-hour energy metabolism in recovering malnourished infants and compare to similarly aged healthy controls.Methods. 10 malnourished infants (58.1±5.9 cm,7.7±5.6months) were healthy prior to spending 22 hours in the Enhanced Metabolic Testing Activity Chamber for measurement of EE (kcal/min), sleeping metabolic rate (SMR; kcal/min), respiratory quotient (RQ;VCO2/VO2), and physical activity (PA; oscillations in wt/min/kg body weight). Metabolic data were extrapolated to 24 hours (kcal/kg/d). Energy intake (kcal/kg/d) and the proportions (%) of carbohydrate, protein, and fat were calculated. Anthropometrics for malnourished infants were obtained. Statistical differences (P<.05) between groups were determined (SPSS, version 13).Results. In comparison to controls, malnourished infants were lighter (4.1±1.2versus7.3±0.8 kg;P<.05), had less body fat % (10.3±7.6versus25.7±2.5), and lower BMI (12.0±1.7versus15.5±1.5;P<.05). In contrast, they had greater energy intake (142.7±14.6versus85.1±25.8;P<.05) with a greater percentage of carbohydrates (55.1±3.9versus47.2±5.2;P<.05). However, malnourished infants had greater 24-hour EE (101.3±20.1versus78.6±8.4;P<.05), SMR (92.6±17.1versus65.0±3.9;P<.05), and RQ (1.00±0.13versus0.86±0.08;P<.05) along with a lower amount of PA (2.3±0.94versus4.0±1.5;P<.05).Conclusions. Malnourished infants require more energy, possibly for growth.

scholarly journals Excessive body weight of children and adolescents in the spotlight of their parents’ overweight and obesity, physical activity, and screen time

2020 ◽  
Vol 65 (8) ◽  
pp. 1309-1317 ◽  
Author(s):  
Erik Sigmund ◽  
Dagmar Sigmundová ◽  
Petr Badura
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Screen Time ◽  
Leisure Time ◽  
Cumulative Effect ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
Cross Sectional ◽  
Children And Adolescent ◽  
Excessive Body Weight

Abstract Objectives The main aim of this study was to bridge the research gap in the countries of Central Europe using the family dyad approach to examine the associations of parents’ overweight/obesity, physical activity (PA), and screen time (ST) with excessive body weight in their offspring. Methods The cross-sectional study included 1101 parent–child dyads (648/453 mother/father–child aged 4–16) selected by two-stage stratified random sampling with complete data on body weight categories, weekly PA (Yamax pedometer), ST (family logbook) collected over a regular school/working week during the spring and autumn seasons between 2013 and 2019. Binary logistic regression analyses were used to identify which of parents’ lifestyle indicators were associated with the overweight/obesity of their offspring. Results The mother’s overweight/obesity significantly increases her children’s odds of overweight/obesity. Concerning fathers, active participation in organized leisure-time PA and reaching 10,000 steps per day significantly reduce the odds of overweight/obesity in their children and adolescent offspring. Conclusions The cumulative effect of parental participation in organized leisure-time PA with their own family-related PA can be a natural means of preventing the development of overweight/obesity in their offspring.

scholarly journals Energy intake, physical activity and body weight: a simulation model

1995 ◽  
Vol 73 (3) ◽  
pp. 337-347 ◽  
Author(s):  
Klaas R. Westerterp ◽  
Jeroen H. H. L. M. Donkers ◽  
Elisabeth W. H. M. Fredrix ◽  
Piet oekhoudt
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Body Weight ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Dietary Intake ◽  
Energy Intake ◽  
Relative Size ◽  
The Body ◽  
Fat Free Mass

In adults, body mass (BM) and its components fat-free mass (FFM) and fat mass (FM) are normally regulated at a constant level. Changes in FM and FFM are dependent on energy intake (EI) and energy expenditure (EE). The body defends itself against an imbalance between EI and EE by adjusting, within limits, the one to the other. When, at a given EI or EE, energy balance cannot be reached, FM and FFM will change, eventually resulting in an energy balance at a new value. A model is described which simulates changes in FM and FFM using EI and physical activity (PA) as input variables. EI can be set at a chosen value or calculated from dietary intake with a database on the net energy of foods. PA can be set at a chosen multiple of basal metabolic rate (BMR) or calculated from the activity budget with a database on the energy cost of activities in multiples of BMR. BMR is calculated from FFM and FM and, if necessary, FFM is calculated from BM, height, sex and age, using empirical equations. The model uses existing knowledge on the adaptation of energy expenditure (EE) to an imbalance between EI and EE, and to resulting changes in FM and FFM. Mobilization and storage of energy as FM and FFM are functions of the relative size of the deficit (EI/EE) and of the body composition. The model was validated with three recent studies measuring EE at a fixed EI during an interval with energy restriction, overfeeding and exercise training respectively. Discrepancies between observed and simulated changes in energy stores were within the measurement precision of EI, EE and body composition. Thus the consequences of a change in dietary intake or a change in physical activity on body weight and body composition can be simulated.

scholarly journals Energy adjustment of nutrient intakes is preferable to adjustment using body weight and physical activity in epidemiological analyses

2013 ◽  
Vol 17 (5) ◽  
pp. 1054-1060 ◽  
Author(s):  
Jinnie J Rhee ◽  
Eunyoung Cho ◽  
Walter C Willett
Keyword(s):  
Physical Activity ◽  
Fatty Acids ◽  
Body Weight ◽  
Linoleic Acid ◽  
Energy Intake ◽  
Dietary Fatty Acids ◽  
Nutritional Epidemiology ◽  
Strongly Correlated ◽  
Nutrient Intakes ◽  
Cross Sectional

AbstractObjectiveAdjustment for body weight and physical activity has been suggested as an alternative to adjusting for reported energy intake in nutritional epidemiology. We examined which of these approaches would yield stronger correlations between nutrients and their biomarkers.DesignA cross-sectional study in which dietary fatty acids, carotenoids and retinol were adjusted for reported energy intake and, separately, for weight and physical activity using the residual method. Correlations between adjusted nutrients and their biomarkers were examined.SettingUSA.SubjectsCases and controls from a nested case–control study of erythrocyte fatty acids and CHD (n 442) and of plasma carotenoids and retinol and breast cancer (n 1254).ResultsCorrelations between intakes and plasma levels of trans-fatty acids were 0·30 (energy-adjusted) and 0·16 (weight- and activity-adjusted); for erythrocyte levels, the corresponding correlations were 0·37 and 0·25. Energy-adjusted intakes of linoleic acid and α-linolenic acid were more strongly correlated with their respective biomarkers than weight- and activity-adjusted intakes, but the differences were not significant except for linoleic acid (erythrocyte). Weight- and activity-adjusted DHA intake was slightly more strongly correlated with its plasma biomarker than energy-adjusted intake (0·37 v. 0·34). Neither method made a difference for DHA (erythrocyte), carotenoids and retinol.ConclusionsThe effect of energy adjustment depends on the nutrient under investigation, and adjustment for energy calculated from the same questionnaire used to estimate nutrient intakes improves the correlation of some nutrients with their biomarkers appreciably. For the nutrients examined, adjustment using weight and physical activity had at most a small effect on these correlations.

Estimation of Energy Requirements for Adults: Tehran Lipid and Glucose Study

2003 ◽  
Vol 73 (3) ◽  
pp. 193-200 ◽  
Author(s):  
Mirmiran ◽  
Mohammadi ◽  
Allahverdian ◽  
Azizi
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Energy Intake ◽  
Dietary Habits ◽  
Energy Requirement ◽  
Overweight And Obesity ◽  
The Body ◽  
World Health ◽  
Energy Requirements ◽  
Lifestyle Modifications

Objective: This study was conducted to determine the energy intake of adult residents of district 13 of Tehran and compare the results with their energy requirements. Design: In this cross-sectional study, 403 subjects were selected by random sampling, including 145 men and 151 women aged 25–50 years and 57 men and 50 women over 50 years old in the framework of Tehran Lipid and Glucose Study (TLGS). Measurements: Height, body weight, waist and hip circumferences were measured, and the body mass index (BMI) and waist-to-hip ratio (WHR) were calculated. Mean energy requirements for each sex-age group were estimated by multiplying specific coefficients (allocated to each group) by body weight and resting energy expenditure (REE), and the results of both methods were compared with mean energy values recommended by Food and Agriculture Organization (FAO) /World Health Organization (WHO) and the U.S. recommended dietary allowance (RDA). Dietary assessment was performed by 48-hour diet recall. A ratio of energy intake to basal metabolic rate lower than 1.27 was considered as under-reporting. Physical activity was evaluated by standard questionnaire of the Lipid Research Clinics (LRC). Results: Women were significantly more overweight and obese than men (p < 0.001) and older women were more obese than younger ones (p < 0.05). Only one-third of the study population had adequate physical activity. Women had significantly lower physical activity than men (p < 0.01). Energy requirements for both age and sex groups were lower than recommended daily allowances for energy: men 25–50; 2576 vs. 2900; men > 50: 2155 vs. 2300; women 20–50: 2045 vs. 2200 and women > 50: 1817 vs. 1900 kilocalories (kcal). Reported energy intake of men was higher and that of women was lower than the RDA. Forty percent of women and 14% of men under-reported their energy intake. Conclusion: The energy requirement of the average Tehranian is lower than daily allowances; conditions of obesity and overweight are more prevalent in women. There is high frequency of under-reporting of energy intake in women. Lifestyle modifications to improve dietary habits and to increase physical activity are recommended to decrease overweight and obesity in urban population of Tehran.

scholarly journals HUBUNGAN FREKUENSI SARAPAN DAN KONSUMSI JAJAN DENGAN Z-SCORE IMT/U PADA SISWA SEKOLAH DASAR

2017 ◽  
Vol 6 (4) ◽  
pp. 277
Author(s):  
April Lani ◽  
Ani Margawati ◽  
Deny Yudi Fitranti
Keyword(s):  
Physical Activity ◽  
Energy Intake ◽  
Simple Random Sampling ◽  
Cross Sectional Study ◽  
Overweight And Obesity ◽  
The Body ◽  
Observational Research ◽  
Activity Data ◽  
Cross Sectional ◽  
Snack Consumption

Background:Nutritional status is a measure of a person's body condition that can be seen from the food consumed and the use of nutrients in the body. Skipping breakfast and consuming high calorie snack foods can lead to overweight and obesity. The aim of this research was to know the correlation between frequency of breakfast and snack consumption with BMI-for-age Score in elementary school children. Confounding variables in this research are physical activity and energy intake.Method:This was an observational research with cross-sectional study design. The research was conducted in SDN Tancep 1 Gunungkidul Regency  involving 67 subjects with Simple Random Sampling method. Frequency of breakfast data was obtained through interviews and was calculated based on  subject’s frequency of  breakfast in a week. Snack consumption and energy intake data obtained through food frequency questionnaire (FFQ). BMI-for-age score were obtained from the measurement of body weight and height, and physical activity data using physical activity record form. Data were analyzed by rank Spearman.Result:Median for frequency of breakfast was 4.00 times/week. Median for snack consumption and physical activity were 315 and 2030 kcal. The mean BMI-for-age score was -0.23±1.52. There were significant correlations between frequency of breakfast (p=0,021), snack consumption (p=0,001), physical activity (p=0,001), and energy intake (p=0,001)  with BMI-for-age score. Multivariate analysis showed that 57,3% BMI-for-age score was influenced by snack consumption,  physical activity, and energy intake.Conclusion: BMI-for-age score was described as 57,3% by snack consumption, physical activity, and energy intake.

scholarly journals Energy Requirement for Elderly CKD Patients

Nutrients ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 3396
Author(s):  
Claudia D’Alessandro ◽  
Domenico Giannese ◽  
Monica Avino ◽  
Adamasco Cupisti
Keyword(s):  
Physical Activity ◽  
Kidney Disease ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Sedentary Lifestyle ◽  
Energy Requirement ◽  
Activity Level ◽  
Activity Levels ◽  
Protein Energy Wasting ◽  
Cross Sectional

The correct management of energy intake is crucial in CKD (chronic kidney disease) patients to limit the risk of protein energy wasting especially during low-protein regimes, but also to prevent overweight/obesity. The aim of this study was to assess the energy requirement of older CKD patients using objective measurements. This cross-sectional study enrolled 67 patients (aged 60–86 years) with CKD stages 3–5 not on dialysis, all of whom were metabolically and nutritionally stable. All patients underwent indirect calorimetry and measurement of daily physical activity level expressed by the average daily Metabolic Equivalent Task, using an accelerometer, in order to measure total energy expenditure (mTEE). Estimated TEE (eTEE) was derived from predictive equations for resting energy expenditure and physical activity levels coefficients. The mTEE were lower than eTEE-based on Harris–Benedict or Schofield or Mifflin equations (1689 ± 523 vs. 2320 ± 434 or 2357 ± 410 or 2237 ± 375 Kcal, p < 0.001, respectively). On average mTEE was 36.5% lower than eTEE. When eTEE was recalculated using ideal body weight the gap between mTEE and eTEE was reduced to 26.3%. A high prevalence of a sedentary lifestyle and reduced physical capabilities were also detected. In conclusion, our data support the energy intake of 25–35 Kcal/Kg/d recently proposed by the NKF-KDOQI (National Kidney Foundation-Kidney Disease Improving Quality Initiative) guidelines on nutritional treatment of CKD, which seem to be more adequate and applicable than that of previous guidelines (30–35 Kcal/Kg/d) in elderly stable CKD patients with a sedentary lifestyle. According to our findings we believe that an energy intake even lower than 25 Kcal/Kg/d may be adequate in metabolically stable, elderly CKD patients with a sedentary lifestyle.

scholarly journals Energy Metabolism in Relation to Diet and Physical Activity: A South Asian Perspective

2021 ◽  
Author(s):  
Siti Narsito Wulan ◽  
Qaisar Raza ◽  
Hera Sisca Pramita ◽  
Erryana Martati ◽  
Jaya Mahar Maligan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Energy Expenditure ◽  
Energy Intake ◽  
South Asian ◽  
South Asians ◽  
Resting Energy Expenditure ◽  
Overweight And Obesity ◽  
Asian Countries ◽  
Resting Energy

The prevalence of overweight and obesity is increasing worldwide not only in Western countries but also in Asian countries. Among Asian countries, South Asian countries experience the rapid increase of overweight and obesity that co-exist with the rapid increase of obesity-related non communicable diseases such as diabetes, dyslipidemia and cardiovascular. The phenomena in South Asian countries are triggered by growth in population size, population aging, urbanization and changes in lifestyle including increases in energy intake and reductions in physical activity. The imbalance between energy intake and energy expenditure leads to the development of positive energy balance, which over the time acumulate in a higher body fat. South Asians were reported to have a more unfavorable body composition with a higher body fat percentage as compared to BMI-matched Caucasians. The differences in body composition between South Asians and Caucasians contribute to differences in resting energy expenditure, in which South Asians have a lower resting energy expenditure as compared to BMI-matched Caucasians. Resting energy expenditure is the largest component of daily total energy expenditure, and therefore play an important role in determining the energy balance between energy intake and expenditure.

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