Evaluation of dietary energy intake and physical activity in dogs undergoing a controlled weight-loss program

2012 ◽  
Vol 240 (4) ◽  
pp. 413-419 ◽  
Author(s):  
Joseph J. Wakshlag ◽  
Angela M. Struble ◽  
Barbour S. Warren ◽  
Mary Maley ◽  
Matthew R. Panasevich ◽  
...  
2019 ◽  
Vol 57 (1) ◽  
pp. 99-117
Author(s):  
Christopher G. BEAN ◽  
Helen R. WINEFIELD ◽  
Amanda D. HUTCHINSON ◽  
Charli SARGENT ◽  
Zumin SHI

2020 ◽  
Author(s):  
Jian Zhao ◽  
Jian Sun

Abstract Background: To estimate the approximately causal effects of smoking on the obesity risk among Chinese adults.Methods: Using China Health and Nutrition Survey (CHNS) datasets from 1991 to 2015, this study consisted of 35,907 males and 39,441females aged 18-65 years. Using ordinary-least squares and probit models to investigate the effects of smoking on risk of obesity among Chinese adults.Results: Male current smokers had a higher dietary energy intake (23.28 unit), percentage of dietary energy intake from fat (0.47 unit), physical activity (9.96 unit), drinking (0.61 unit) but less likely to be general obesity (0.17 unit) and abdominal obesity (0.12 unit) than nonsmokers. Female current smokers less likely to be general obesity (0.03 unit) and abdominal obesity (0.12 unit) than nonsmokers. Male heavy smokers (>25 cigarettes/d) had higher dietary energy intake (89.65 unit), physical activity (15.31 unit), drinking (0.08 unit) and more likely to be general obesity (0.18 unit) and abdominal obesity (0.10 unit) than other smokers.Conclusions: Compared with nonsmokers, current smokers had lower probability of being general obesity and abdominal obesity among Chinese adults regardless of gender. Male heavy smokers increased the risk of obesity than other smokers. These findings may improve the understanding on how cigarette smoking affects fat distribution and provide scientific evidence regarding intervention in smoking and obesity, especially for male heavy smokers


2020 ◽  
Vol 92 (1) ◽  
pp. 30-33
Author(s):  
Gianpaolo Perletti ◽  
Vittorio Magri ◽  
Pietro Manuel Ferraro ◽  
Emanuele Montanari ◽  
Alberto Trinchieri

Objective: Obesity has been associated with an increased risk of kidney stone formation. The presence of obesity is due to an imbalance between energy intake and energy consumption resulting from physical activity and resting metabolic rate. The purpose of this meta-analysis was to assess the differences in dietary energy intake levels between patients developing urinary stones versus healthy individuals. Materials and methods: Medline/PubMed and EMBASE databases search was performed using the terms “urolithiasis”, “kidney stones*”, “calcul*”, “energy”, “calor*”, “intake”, “food”, “kilojoule/kjoule”, “Kilocal*/kcal” from January 1st, 2000, and were assessed as up to date on September 30th, 2019. Results: After having screened 1.782 records, four studies were included in the meta-analysis. The total population was 467.063, including 453.078 healthy men and/or women and 13.985 men and/or women affected by nephrolithiasis. When energy intake data were pooled irrespective of the sex of participants, mean calory intake values were significantly higher in nephrolithiasis patients, compared to healthy individuals. The mean difference (MD) was 39.16 kcal (95% CI 18.53 to 59.78, p = 0.0002, random-effects model, inverse-variance weighing). The odds ratio for this comparison – calculated from the standardized mean difference – is significant (OR = 1.946; 95% CI: 1.869 to 5.561). Conclusions: Patients affected by urolithiasis show a significantly higher energy intake in various patient populations (USA, China and Korea) including subjects of both sexes. The relevance of this finding should be confirmed by studies in populations showing different and diverse dietary patterns, and by evaluating energy consumption linked to physical activity and metabolic rate in renal stone formers.


2010 ◽  
Vol 0 (0) ◽  
Author(s):  
Luana C. dos Santos ◽  
Mariana N. Pascoal ◽  
Mauro Fisberg ◽  
Isa de P. Cintra ◽  
Lígia A. Martini

2021 ◽  
pp. 019394592110370
Author(s):  
Hannah Bessette ◽  
MinKyoung Song ◽  
Karen S. Lyons ◽  
Sydnee Stoyles ◽  
Christopher S. Lee ◽  
...  

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.


Appetite ◽  
2021 ◽  
pp. 105273
Author(s):  
Sasha Fenton ◽  
Tracy L. Burrows ◽  
Clare E. Collins ◽  
Elizabeth G. Holliday ◽  
Gregory S. Kolt ◽  
...  

BMJ ◽  
2020 ◽  
pp. m4561
Author(s):  
R A Lewis

AbstractObjectiveTo estimate the daily dietary energy intake for me to maintain a constant body weight. How hard can it be?DesignVery introspective study.SettingAt home. In lockdown. (Except every Tuesday afternoon and Saturday morning, when I went for a run.)ParticipantsMe. n=1.Main outcome measuresMy weight, measured each day.ResultsSleeping, I shed about a kilogram each night (1.07 (SD 0.25) kg). Running 5 km, I shed about half a kilogram (0.57 (SD 0.15) kg). My daily equilibrium energy intake is about 10 000 kJ (10 286 (SD 201) kJ). Every kJ above (or below) 10 000 kJ adds (or subtracts) about 40 mg (35.4 (SD 3.2) mg).ConclusionsBody weight data show persistent variability, even when the screws of control are tightened and tightened.


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