scholarly journals Alcohol energy intake and habitual physical activity in older adults

2004 ◽  
Vol 91 (1) ◽  
pp. 149-152 ◽  
Author(s):  
Klaas R. Westerterp ◽  
Erwin P. Meijer ◽  
Annelies H. C. Goris ◽  
Arnold D. M. Kester
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Alcohol Consumption ◽  
Energy Intake ◽  
Alcohol Intake ◽  
Activity Level ◽  
Habitual Physical Activity ◽  
Additional Energy ◽  
Higher Alcohol ◽  
Dietary Record

Alcohol forms a significant component of many diets and it supplements rather than displaces daily energy intake. Surprisingly, alcohol intake does not systematically increase body weight. The present study assessed whether a higher level of habitual physical activity in the daily environment is associated with a higher alcohol intake. Alcohol intake as part of total food intake was measured with a 7 d dietary record while at the same time physical activity was monitored with a tri-axial accelerometer for movement registration. Subjects were twenty women and twenty-four men, aged 61±5 years, of BMI 27·1±4·6 kg/m2. Between subjects, there was a positive association between the level of habitual physical activity and alcohol intake (r 0·41; P<0·01). The subjects with higher alcohol intake had a higher activity level. On days with and days without alcohol consumption there was no difference in physical activity within subjects. In conclusion, it was shown that subjects with higher alcohol consumption are habitually more active. This may explain the lack of increasing body weight through additional energy intake from alcohol.

scholarly journals Trends in energy and macronutrient intakes, body weight and physical activity in female university students (1988–2003), and effects of excluding under-reporters

2004 ◽  
Vol 92 (4) ◽  
pp. 679-688 ◽  
Author(s):  
Penelope M. Warwick ◽  
Jacqueline Reid
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
University Students ◽  
Energy Intake ◽  
Activity Level ◽  
Carbohydrate Intake ◽  
Macronutrient Intake ◽  
Simple Linear Regression ◽  
Entire Cohort ◽  
Factorial Method

The present study investigated trends in reported energy intake, macronutrient intake, physical activity level (PAL) and body weight and effects of excluding under-reporters (UR). Dietary intake and time spent in sixteen activity categories were recorded by 887 female university students (median age 29 years) from 1988 to 2003. Energy expenditure (EE) and PAL were measured using a factorial method. All data collected were self-reported. Individuals with reported EI:EE<0·76 were classified as UR. The remainder were classified as non-under-reporters (NUR). Trends were determined from simple linear regression of median data for each year for the entire cohort (ALL) and for NUR and UR separately, and from multiple regression analysis with the subgroups (NUR and UR) as an additional predictor (BOTH). Prevalence of under-reporting and overweight increased between 1988 and 2003. In ALL and BOTH there were trends to increased body mass, protein intake (g/d and % energy) and carbohydrate intake (% energy only) and decreased fat and alcohol intakes (g/d and % energy). In BOTH there were also increases in reported EI and carbohydrate intake (g/d). None of the trends in NUR was significantly different from those in UR, but some trends in ALL and/or BOTH were not significant when UR were excluded. Trends remaining significant in NUR were increased reported energy intake, protein (g/d) and carbohydrate (g/d) intakes, and decreased fat (% energy only) intake. There were no significant trends in PAL. We conclude that some, but not all, dietary trends were affected by exclusion of UR.

scholarly journals Effect of alcohol consumption on food energy intake: a systematic review and meta-analysis

2019 ◽  
Vol 121 (5) ◽  
pp. 481-495 ◽  
Author(s):  
Alastair Kwok ◽  
Aimee L. Dordevic ◽  
Gemma Paton ◽  
Matthew J. Page ◽  
Helen Truby
Keyword(s):  
Body Weight ◽  
Alcohol Consumption ◽  
Energy Intake ◽  
Public Health Practice ◽  
Alcoholic Beverage ◽  
Additional Energy ◽  
Food Energy ◽  
Statistical Heterogeneity ◽  
Alcohol Dose ◽  
Meta Analyses

AbstractThe relationship between alcohol consumption and body weight is complex and inconclusive being potentially mediated by alcohol type, habitual consumption levels and sex differences. Heavy and regular alcohol consumption has been positively correlated with increasing body weight, although it is unclear whether this is due to alcohol consumption per se or to additional energy intake from food. This review explores the effects of alcohol consumption on food energy intake in healthy adults. CINAHL Plus, EMBASE, Medline and PsycINFO were searched through February 2018 for crossover and randomised controlled trials where an alcohol dose was compared with a non-alcohol condition. Study quality was assessed using the Effective Public Health Practice Project tool. A total of twenty-two studies involving 701 participants were included from the 18 427 papers retrieved. Studies consistently demonstrated no compensation for alcoholic beverage energy intake, with dietary energy intake not decreasing due to alcoholic beverage ingestion. Meta-analyses using the random-effects model were conducted on twelve studies and demonstrated that alcoholic beverage consumption significantly increased food energy intake and total energy intake compared with a non-alcoholic comparator by weighted mean differences of 343 (95 % CI 161, 525) and 1072 (95 % CI 820, 1323) kJ, respectively. Generalisability is limited to younger adults (18–37 years), and meta-analyses for some outcomes had substantial statistical heterogeneity or evidence of small-study effects. This review suggests that adults do not compensate appropriately for alcohol energy by eating less, and a relatively modest alcohol dose may lead to an increase in food consumption.

scholarly journals 0032 Timing of Daily Rhythm of Cardiac Autonomic Control Contributes to Weight Loss Resistance, Independent of Daily Energy Intake and Physical Activity Level

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A13-A13
Author(s):  
H Yang ◽  
M Garaulet ◽  
P Li ◽  
C Bandin ◽  
C Lin ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Body Weight ◽  
Energy Intake ◽  
Physical Activity Level ◽  
Autonomic Control ◽  
Activity Level ◽  
Daily Rhythm ◽  
Cardiac Autonomic Control ◽  
Loss Resistance

Abstract Introduction Obesity is a major health problem. Many treatments have been designed to help overweight/obese people to lose weight, but their effectiveness is highly variable. The same treatments may work for some persons while others have no responses — weight loss resistance. We tested whether the daily rhythm of cardiac autonomic control contributes to weight loss resistance. Methods We studied 39 overweight/obese Caucasian women (BMI&gt;25; age: 21–62 years old) who completed (1) an obesity dietary treatment of up to 30 weeks with weekly assessments of body weight, and (2) ambulatory monitoring of electrocardiogram (ECG) for up to 3.5 days. Heartbeat intervals were derived from ECG. Cardiac autonomic control was assessed in each 1-h bin by examining the temporal correlation in heartbeat fluctuations — a nonlinear measure that quantifies the delicate dynamic interplay between sympathetic and vagal outflows. Daily rhythm was estimated using the cosinor analysis. Results Weight loss was highly variable (range: 0.68%-21.78 % of initial body weight). The correlation in heartbeat fluctuations displayed a 24-h rhythm (p&lt;0.0001) with fewer correlations (more random) during the nighttime. The phase (peak timing) of the rhythm was highly variable, i.e., 10AM to 8PM for most participants, and after midnight in four participants. Weight loss evolution depended on the phase (p=0.006) in a nonlinear manner. Specifically, participants with the phase between 2PM-8PM lost weight faster than those with phases before 2PM and those after 8PM. The effect was independent of total energy intake, physical activity level, and sleep/wake schedules. Conclusion Cardiac autonomic control in overweight/obese women displayed a daily rhythm. The timing of the rhythm had previously un-identified contributions to weight loss. The inter-individual differences in the timing may reflect different circadian regulation of autonomic function and its interaction with the daily behavioral cycle. Support This work was supported by NIH grants R01AG048108, RF1AG059867, RF1AG064312, R01AG017917, and R01NS078009.

scholarly journals Physical activity level of adult cats with varied feeding frequency

2011 ◽  
Vol 106 (S1) ◽  
pp. S166-S169 ◽  
Author(s):  
Ping Deng ◽  
Ryan W. Grant ◽  
Kelly S. Swanson
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Body Condition ◽  
Body Condition Score ◽  
Activity Level ◽  
Feeding Time ◽  
Activity Levels ◽  
Feeding Frequency ◽  
Condition Score ◽  
Adult Cats

The prevalence of feline obesity is influenced by numerous factors, including inactivity and overconsumption of food. The objective of the present study was to evaluate the effect of feeding frequency on physical activity in adult cats. A total of twelve healthy adult cats were used in a cross-over study consisting of 32 d. In each of the two periods, six cats were fed either two meals or four meals daily. Throughout the study, cats were fed the same diet at amounts to maintain body weight and body condition score. Cats were individually housed 4 h/d at each scheduled feeding time, while for the other 20 h, cats were group-housed to allow for voluntary physical activity in the room with a 16 h light–8 h dark cycle. Voluntary activity levels were evaluated using Actical activity collars for seven consecutive days in each period. Daily average activity level for two-meal-fed cats (20·04 (sem 2·19), activity counts/epoch (15 s)) was not different from four-meal-fed cats (20·14 (sem 2·15), activity counts/epoch (15 s); P>0·05). In conclusion, when group-housed cats are fed to maintain their body weight and body condition score, varied feeding frequency between twice and four times daily may not affect activity levels.

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 EVIDENT Smartphone App, a New Method for the Dietary Record: Comparison With a Food Frequency Questionnaire (Preprint)

2018 ◽  
Author(s):  
Jose I Recio-Rodriguez ◽  
Carmela Rodriguez-Martin ◽  
Jesus Gonzalez-Sanchez ◽  
Emiliano Rodriguez-Sanchez ◽  
Carme Martin-Borras ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Food Intake ◽  
Alcohol Consumption ◽  
Energy Intake ◽  
Food Frequency Questionnaire ◽  
Daily Intake ◽  
Smartphone App ◽  
Food Frequency ◽  
Dietary Record ◽  
Macro And Micronutrients

BACKGROUND More alternatives are needed for recording people’s normal diet in different populations, especially adults or the elderly, as part of the investigation into the effects of nutrition on health. OBJECTIVE The aim of this study was to compare the estimated values of energy intake, macro- and micronutrient, and alcohol consumption gathered using the EVIDENT II smartphone app against the data estimated with a food frequency questionnaire (FFQ) in an adult population aged 18 to 70 years. METHODS We included 362 individuals (mean age 52 years, SD 12; 214/362, 59.1% women) who were part of the EVIDENT II study. The participants registered their food intake using the EVIDENT app during a period of 3 months and through an FFQ. Both methods estimate the average nutritional composition, including energy intake, macro- and micronutrients, and alcohol. Through the app, the values of the first week of food recording, the first month, and the entire 3-month period were estimated. The FFQ gathers data regarding the food intake of the year before the moment of interview. RESULTS The intraclass correlation for the estimation of energy intake with the FFQ and the app shows significant results, with the highest values returned when analyzing the app’s data for the full 3-month period (.304, 95% CI 0.144-0.434; P<.001). For this period, the correlation coefficient for energy intake is .233 (P<.001). The highest value corresponds to alcohol consumption and the lowest to the intake of polyunsaturated fatty acids (r=.676 and r=.155; P<.001), respectively. The estimation of daily intake of energy, macronutrients, and alcohol presents higher values in the FFQ compared with the EVIDENT app data. Considering the values recorded during the 3-month period, the FFQ for energy intake estimation (Kcal) was higher than that of the app (a difference of 408.7, 95% CI 322.7-494.8; P<.001). The same is true for the other macronutrients, with the exception g/day of saturated fatty acids (.4, 95% CI −1.2 to 2.0; P=.62). CONCLUSIONS The EVIDENT app is significantly correlated to FFQ in the estimation of energy intake, macro- and micronutrients, and alcohol consumption. This correlation increases with longer app recording periods. The EVIDENT app can be a good alternative for recording food intake in the context of longitudinal or intervention studies. CLINICALTRIAL ClinicalTrials.gov NCT02016014; http://clinicaltrials.gov/ct2/show/NCT02016014 (Archived by WebCite at http://www.webcitation.org/760i8EL8Q)

scholarly journals HUBUNGAN ASUPAN ENERGI, STRES KERJA, AKTIFITAS FISIK, DAN DURASI WAKTU TIDUR DENGAN IMT PADA MANAJER MADYA DINAS PEMERINTAH KOTA SURABAYA

2019 ◽  
Vol 3 (1) ◽  
pp. 40
Author(s):  
Annisa Risqi Wulandari ◽  
Dhenok Widari ◽  
Lailatul Muniroh
Keyword(s):  
Physical Activity ◽  
Nutritional Status ◽  
Job Stress ◽  
Energy Intake ◽  
Sleep Duration ◽  
Overweight And Obesity ◽  
Activity Level ◽  
Middle Manager ◽  
Anthropometric Measurement ◽  
Cluster Sampling

Background: Prevalence of overweight and obesity in adult has increased each year in Indonesia. Middle managers were groups at risk for overweight because their job characteristics such as low physical activity and risk of experiencing job stress. Economy support in middle manager was one of supporting factor which affect to higher amount of energy intake. Overweight in adult can affect on their health status and work productivityObjectives: The purpose of this study was to analyze the correlation between energy intake, job stress, physical activity and sleep duration with BMI in middle manager.Methods: This was an observational study with cross sectional design. 49 Middle Manager in Surabaya’s Government Agency were selected using cluster sampling. Nutritional status data were collected using anthropometric measurement, energy intake using SQ-FFQ, job stress using OSI-R questionnaire, physical activity and sleep duration data using activity recall. Data were analyzed by Pearson product moment test.Results: This study showed that most of respondents has normal nutritional status (61.2%), adequate energy intake (47%), moderate level job stress (69.4%), low (46.9%) and moderate (46.9%) physical activity level, and lack of sleep duration (59.2%). There were correlation between energy intake (p=0.001) and sleep duration (p=0.006) with BMI. Job stress (p=0.227) and phyisical activity (p=0.148) had no correlation with BMI.Conclusions: higher energy intake and lower sleep duration would increase BMI.ABSTRAKLatar Belakang: Prevalensi status gizi lebih pada penduduk dewasa semakin meningkat di Indonesia. Manajer madya merupakan kelompok yang berisiko mengalami kegemukan karena jenis pekerjaan kantor yang ringan serta rentan mengalami stres kerja. Dukungan ekonomi juga menjadi salah satu faktor pendukung besarnya asupan energi dibandingkan energi yang dikeluarkan untuk beraktifitas. Masalah gizi lebih pada penduduk dewasa dapat memengaruhi status kesehatan dan produktifitas kerja seseorang.Tujuan: Tujuan penelitian ini adalah untuk menganalisis hubungan antara asupan energi, stres kerja, aktifitas fisik dan durasi waktu tidur dengan Indeks Massa Tubuh (IMT) pada Manajer Madya.Metode: Penelitian ini adalah observasional dengan desain penelitian potong lintang. Sebanyak 49 manajer madya di Dinas Pemerintah Kota Surabaya dipilih menggunakan metode cluster sampling. Pengumpulan data menggunakan pengukuran antropometri untuk IMT, SQ-FFQ untuk asupan energi, kuesioner OSI-R untuk stres kerja serta recall aktifitas fisik untuk data aktifitas fisik dan durasi waktu tidur. Analisis data menggunakan uji korelasi pearson product moment.Hasil: Penelitian menunjukkan bahwa sebagian besar responden memiliki status gizi normal (61,2%), kecukupan energi tergolong baik (47%), stres kerja tingkat sedang (69,4%), aktifitas fisik ringan (46,9%) dan sedang (46,9%) serta durasi tidur yang kurang (59,2%). Terdapat hubungan antara asupan energi (p=0,001) dan durasi waktu tidur (0,006) dengan IMT. Stres kerja (p=0,227) dan aktifitas fisik (p=0,148) tidak berhubungan dengan IMT.Kesimpulan: Semakin tinggi asupan energi dan semakin singkat durasi waktu tidur maka akan semakin tinggi IMT pada manajer madya.

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.

Sign in / Sign up

Export Citation Format

Share Document