scholarly journals Physical activity and 4-year changes in body weight in 52,498 non-obese people: The Lifelines Cohort

2020 ◽  
Author(s):  
Oyuntugs Byambasukh ◽  
Petra Vinke ◽  
Daan Kromhout ◽  
Gerjan Navis ◽  
Eva Corpeleijn
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Weight Gain ◽  
Muscle Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Body Weight Gain ◽  
Average Weight ◽  
Obese People ◽  
Average Weight Gain

Abstract Objectives: We investigated associations between leisure-time physical activity (LTPA) at different intensities (moderate and vigorous or moderate-to-vigorous) and prospective weight gain in non-obese people. We also examined whether these associations were independent of other lifestyle factors and changes in muscle mass and whether they were age-dependent and changed over a person’s life course.Methods: The data were extracted from the Lifelines cohort study (N=52,498; 43.5% men) and excluded obese individuals (BMI>30kg/m2). We used the validated SQUASH questionnaire to estimate moderate-to-vigorous (MVPA; MET≥4), moderate (MPA; MET between 4 and 6.5) and vigorous PA (VPA; MET≥6.5). Body weight was objectively measured, and changes were standardized to a 4-year period. Separate analyses, adjusted for age, educational level, diet, smoking, alcohol consumption and changes in creatinine excretion (a marker of muscle mass), were performed for men and women.Results: The average weight gain was +0.45±0.03 kg in women. Relative to each reference groups (No-MVPA, No-MPA and No-VPA), MVPA (Beta (95%CI): -0.34 kg (-0.56;-0.13)), MPA (-0.32 kg (-0.54;-0.10)) and VPA (-0.30 kg (-0.43;-0.18)) were associated with less gain in body weight in women after adjusting for potential confounders, described above. These associations were dose-dependent when physically active individuals were divided in tertiles. Beta-coefficients (95%CI) for the lowest, middle, and highest MVPA tertiles relative to the ‘No-MVPA’ were, respectively, -0.24 (-0.47;-0.02), -0.31 (-0.53;-0.08), and -0.38 (-0.61;-0.16) kg. The average weight gain in men was +0.13±0.03 kg, and only VPA, not MPA was associated with less body weight gain. Beta-coefficients (95%CI) for the VPA tertiles relative to the ‘No-VPA’ group were, respectively, -0.25 (-0.42;-0.09), -0.19 (-0.38;-0.01) and -0.20 (-0.38;-0.02) kg. However, after adjusting for potential confounders, the association was no longer significant in men. The potential benefits of leisure-time PA were age-stratified and mainly observed in younger adults (men: <35 years; women: <55 years). Moreover, occupational MVPA was not associated with favourable changes in body weight in males and females.Conclusion: Higher leisure-time MVPA, MPA, and VPA were associated with less weight gain in women <55 years. In younger men (<35 years), only VPA was associated with less weight gain.

scholarly journals Physical activity and 4-year changes in body weight in 52,498 non-obese people: the Lifelines cohort

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Oyuntugs Byambasukh ◽  
Petra Vinke ◽  
Daan Kromhout ◽  
Gerjan Navis ◽  
Eva Corpeleijn
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Weight Gain ◽  
Muscle Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Body Weight Gain ◽  
Average Weight ◽  
Obese People ◽  
Average Weight Gain

Abstract Objectives We investigated associations between leisure-time physical activity (LTPA) at different intensities (moderate and vigorous or moderate-to-vigorous) and prospective weight gain in non-obese people. We also examined whether these associations were independent of other lifestyle factors and changes in muscle mass and whether they were age-dependent and changed over a person’s life course. Methods The data were extracted from the Lifelines cohort study (N = 52,498; 43.5% men) and excluded obese individuals (BMI > 30 kg/m2). We used the validated SQUASH questionnaire to estimate moderate-to-vigorous (MVPA; MET≥4), moderate (MPA; MET between 4 and 6.5) and vigorous PA (VPA; MET≥6.5). Body weight was objectively measured, and changes were standardized to a 4-year period. Separate analyses, adjusted for age, educational level, diet, smoking, alcohol consumption and changes in creatinine excretion (a marker of muscle mass), were performed for men and women. Results The average weight gain was + 0.45 ± 0.03 kg in women. Relative to each reference groups (No-MVPA, No-MPA and No-VPA), MVPA (Beta (95%CI): − 0.34 kg (− 0.56;-0.13)), MPA (− 0.32 kg (− 0.54;-0.10)) and VPA (− 0.30 kg (− 0.43;-0.18)) were associated with less gain in body weight in women after adjusting for potential confounders, described above. These associations were dose-dependent when physically active individuals were divided in tertiles. Beta-coefficients (95%CI) for the lowest, middle, and highest MVPA tertiles relative to the ‘No-MVPA’ were, respectively, − 0.24 (− 0.47;-0.02), − 0.31 (− 0.53;-0.08), and − 0.38 (− 0.61;-0.16) kg. The average weight gain in men was + 0.13 ± 0.03 kg, and only VPA, not MPA was associated with less body weight gain. Beta-coefficients (95%CI) for the VPA tertiles relative to the ‘No-VPA’ group were, respectively, − 0.25 (− 0.42;-0.09), − 0.19 (− 0.38;-0.01) and − 0.20 (− 0.38;-0.02) kg. However, after adjusting for potential confounders, the association was no longer significant in men. The potential benefits of leisure-time PA were age-stratified and mainly observed in younger adults (men < 35 years) or stronger with younger age (women < 55 years). Conclusion Higher leisure-time MVPA, MPA, and VPA were associated with less weight gain in women < 55 years. In younger men (< 35 years), only VPA was associated with less weight gain.

scholarly journals Physical activity and 4-year changes in body weight in 52,498 non-obese people: The Lifelines Cohort

2020 ◽  
Author(s):  
Oyuntugs Byambasukh ◽  
Petra Vinke ◽  
Daan Kromhout ◽  
Gerjan Navis ◽  
Eva Corpeleijn
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Weight Gain ◽  
Muscle Mass ◽  
Body Weight Gain ◽  
Average Weight ◽  
Obese People ◽  
Physically Active ◽  
Younger Men ◽  
Average Weight Gain

Abstract Objectives: We investigated associations between daily-life physical activity (PA) and prospective weight gain in non-obese people. We also examined whether these associations were independent of other lifestyle factors and changes in muscle mass and whether they were age-dependent and changed over a person’s life course. Methods: The data were extracted from the Lifelines cohort study (N=52,498; 43.5% men) and excluded obese individuals (BMI>30kg/m 2 ). We used the validated SQUASH questionnaire to estimate moderate-to-vigorous (MVPA; MET≥4), moderate (MPA; MET between 4 and 6.5) and vigorous PA (VPA; MET≥6.5) within non-occupational (commuting and leisure) and occupational domains. Body weight was objectively measured and changes were standardized to a 4-year period. Separate analyses, adjusted for age, educational level, diet, smoking, alcohol consumption and changes in creatinine excretion (a marker of muscle mass), were performed for men and women. Results: The average weight gain was +0.45±0.03 kg in women. Relative to each reference groups (No-MVPA, No-MPA and No-VPA), non-occupational MVPA (Beta (95%CI): -0.34 kg (-0.56;-0.13)), MPA (-0.32 kg (-0.54;-0.10)) and VPA (-0.30 kg (-0.43;-0.18)) were associated with less gain in body weight in women after adjusting for potential confounders, described above. These associations were dose-dependent when physically active individuals were divided in tertiles. Beta-coefficients (95%CI) for the lowest, middle, and highest MVPA tertiles relative to the ‘No-MVPA’ were, respectively, -0.24 (-0.47;-0.02), -0.31 (-0.53;-0.08), and -0.38 (-0.61;-0.16) kg. The average weight gain in men was +0.13±0.03 kg, and only non-occupational VPA was associated with less body weight gain. Beta-coefficients (95%CI) for the VPA tertiles relative to the ‘No-VPA’ group were, respectively, -0.25 (-0.42;-0.09), -0.19 (-0.38;-0.01) and -0.20 (-0.38;-0.02) kg. However, after adjusting for potential confounders, the association was no longer significant in men. The potential benefits of non-occupational PA were age-stratified and mainly observed in younger adults (men: <35 years; women: <55 years). Moreover, occupational MVPA was not associated with favourable changes in body weight in males and females. Conclusion: Higher non-occupational MVPA, MPA, and VPA were associated with less weight gain in women <55 years. In younger men (<35 years), only non-occupational VPA was associated with less weight gain.

scholarly journals Physical activity and 4-year changes in body weight in 52,498 non-obese people: The Lifelines Cohort

2020 ◽  
Author(s):  
Oyuntugs Byambasukh ◽  
Petra Vinke ◽  
Daan Kromhout ◽  
Gerjan Navis ◽  
Eva Corpeleijn
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Weight Gain ◽  
Muscle Mass ◽  
Body Weight Gain ◽  
Average Weight ◽  
Obese People ◽  
Physically Active ◽  
Younger Men ◽  
Average Weight Gain

Abstract Objectives: We investigated associations between daily-life physical activity (PA) and prospective weight gain in non-obese people. We also examined whether these associations were independent of other lifestyle factors and changes in muscle mass and whether they were age-dependent and changed over a person’s life course.Methods: The data were extracted from the Lifelines cohort study (N=52,498; 43.5% men) and excluded obese individuals (BMI>30kg/m2). We used the validated SQUASH questionnaire to estimate moderate-to-vigorous (MVPA; MET≥4), moderate (MPA; MET between 4 and 6.5) and vigorous PA (VPA; MET≥6.5) within non-occupational (commuting and leisure) and occupational domains. Body weight was objectively measured and changes were standardized to a 4-year period. Separate analyses, adjusted for age, educational level, diet, smoking, alcohol consumption and changes in creatinine excretion (a marker of muscle mass), were performed for men and women.Results: The average weight gain was +0.45±0.03 kg in women. Relative to each reference groups (No-MVPA, No-MPA and No-VPA), non-occupational MVPA (Beta (95%CI): -0.34 kg (-0.56;-0.13)), MPA (-0.32 kg (-0.54;-0.10)) and VPA (-0.30 kg (-0.43;-0.18)) were associated with less gain in body weight in women after adjusting for potential confounders, described above. These associations were dose-dependent when physically active individuals were divided in tertiles. Beta-coefficients (95%CI) for the lowest, middle, and highest MVPA tertiles relative to the ‘No-MVPA’ were, respectively, -0.24 (-0.47;-0.02), -0.31 (-0.53;-0.08), and -0.38 (-0.61;-0.16) kg. The average weight gain in men was +0.13±0.03 kg, and only non-occupational VPA was associated with less body weight gain. Beta-coefficients (95%CI) for the VPA tertiles relative to the ‘No-VPA’ group were, respectively, -0.25 (-0.42;-0.09), -0.19 (-0.38;-0.01) and -0.20 (-0.38;-0.02) kg. However, after adjusting for potential confounders, the association was no longer significant in men. The potential benefits of non-occupational PA were age-stratified and mainly observed in younger adults (men: <35 years; women: <55 years). Moreover, occupational MVPA was not associated with favourable changes in body weight in males and females.Conclusion: Higher non-occupational MVPA, MPA, and VPA were associated with less weight gain in women <55 years. In younger men (<35 years), only non-occupational VPA was associated with less weight gain.

scholarly journals Fermentasi Batang Pisang Sepatu (Musa Paradisiaca Forma Typica) Terhadap Palatabilitas Sapi Bali (Bos Sondaicus)

2020 ◽  
Vol 3 (1) ◽  
pp. 8-15
Author(s):  
Rahmat Anwar ◽  
Umbang Arif Rokhayati
Keyword(s):  
Body Weight ◽  
Weight Gain ◽  
Body Weight Gain ◽  
T Test ◽  
Average Weight ◽  
Elephant Grass ◽  
Musa Paradisiaca ◽  
Processing Data ◽  
Bali Cattle ◽  
Average Weight Gain

This study aims to determine the palatability of Balinese cattle to the silage of banana shoe stems. The study was conducted in March to April 2019 in Dambalo Village, Tomilito Subdistrict, North Gorontalo Regency. The research site had a capacity of 50 cattle but this study used 20 cows which were divided into 2 groups. The first group as control was given 15 kg of elephant grass and then added 1 kg / head / day of fresh banana feed and the second group was given 15 kg of elephant grass and 1 kg / head / day of banana shoe silage feed treatment. While processing data using the t test. The results showed that banana shoe stem silage feed was significantly different (P 0.05) to the value of palatability or preferred by Balinese cattle. Whereas the value of body weight gain is higher in cattle given banana silage feed compared to Balinese cattle which are fed fresh banana stems, where the average weight gain of Bali cattle is 42 to 57 grams / head / day. The conclusion is that the treatment of banana shoe stem fermentation was significantly different (P 0.05) to the palatability of Balinese cattle.

THYROXINE AND INSULIN INTERACTION

1959 ◽  
Vol 37 (1) ◽  
pp. 763-774
Author(s):  
Dorothy S. Dow ◽  
C. E. Allen
Keyword(s):  
Body Weight ◽  
Weight Gain ◽  
Muscle Mass ◽  
Dna Content ◽  
Body Weight Gain ◽  
Treated Animal ◽  
Hypoglycemic Action ◽  
Young Rat ◽  
The Relationship ◽  
Rna Concentration

Rate of body weight gain of both the young chick and the young rat was markedly inhibited following ingestion of amounts of thyroxine which were greatly in excess of physiological requirements. The rate of body weight gain of the young rat was also markedly inhibited in alloxan diabetes. The administration of insulin partly or largely prevented the observed effect on body weight in both conditions. The administration of thyroxine caused a reduction of rat skeletal muscle mass which was partially prevented when insulin was given concurrently with thyroxine.Reduced body weight gain and muscle mass in the rat were accompanied by marked increases in the muscle DNA and nuclei concentration. Nuclear diameter and the amount of DNA per nucleus remained unchanged. RNA concentration of the muscle was not reduced. The beneficial effect of insulin administration on body weight and muscle mass was accompanied by a preventive effect against changes in muscle DNA and nuclei concentration. However, since the DNA content of muscle bundles remained relatively unchanged and since muscle bundle weights changed proportionately with body weight it would appear that DNA content does not reflect change in muscle mass.The effectiveness of insulin in the thyroxine-treated animal appears to be due to an improved utilization of energy. A hypoglycemic action of thyroxine implies an antagonism between the two hormones in their mechanism of action. The relationship between the two hormones is not direct since the administration of insulin does not affect the increased plasma protein-bound iodine levels resulting from thyroxine treatment.

scholarly journals Associations Among Leisure-Time Physical Activity, Gestational Weight Gain, and Postpartum Weight Retention With Varying Estimates of Prepregnancy Weight

2016 ◽  
Vol 11 (6) ◽  
pp. 501-510
Author(s):  
Rebecca A. Schlaff ◽  
Claudia Holzman ◽  
Kimberly S. Maier ◽  
Karin A. Pfieffer ◽  
James M. Pivarnik
Keyword(s):  
Physical Activity ◽  
Weight Gain ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Postpartum Weight Retention ◽  
Weight Retention ◽  
Gestational Weight ◽  
Prepregnancy Weight ◽  
Pregnancy And Postpartum ◽  
Postpartum Weight

Prospective studies examining postpartum weight retention (PPWR) in relation to the appropriateness of gestational weight gain (GWG) and leisure-time physical activity (LTPA) during pregnancy and postpartum are lacking. While utilizing varying estimates of prepregnancy weight, we sought to prospectively examine associations among the aforementioned variables. Our sample consisted of a subset of women from the Archive for Research on Child Health Study (n = 68). Prepregnancy weight was obtained via questionnaire and birth certificates. GWG (2 estimates) was calculated by subtracting prepregnancy weight estimates from weight at delivery and classified as “excess” or “not excess.” Pregnancy and postpartum LTPA were self-reported and dichotomized at recommended levels. Prepregnancy weight estimates were subtracted from self-reported postpartum weight to calculate 2 estimates of PPWR at 6 months. Linear regression was used to examine relationships among GWG and LTPA, and PPWR. Estimates of excess GWG were associated with increased PPWR (mean difference = 3.3-8.9 kg), even after adjustment for prepregnancy body mass index and breastfeeding. Meeting pregnancy and postpartum LTPA recommendations did not significantly predict PPWR. Our findings highlight the importance of encouraging appropriate GWG and provide insight into the impact varying estimates of prepregnancy weight may have when exploring associations among these variables.

Neuroregulation of nonexercise activity thermogenesis and obesity resistance

2008 ◽  
Vol 294 (3) ◽  
pp. R699-R710 ◽  
Author(s):  
Catherine M. Kotz ◽  
Jennifer A. Teske ◽  
Charles J. Billington
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Weight Gain ◽  
Body Weight Gain ◽  
Strain Differences ◽  
Mechanistic Explanation ◽  
The Body ◽  
Current Status ◽  
Energetic Cost ◽  
Spontaneous Physical Activity

High levels of spontaneous physical activity in lean people and the nonexercise activity thermogenesis (NEAT) derived from that activity appear to protect lean people from obesity during caloric challenge, while obesity in humans is characterized by dramatically reduced spontaneous physical activity. We have similarly demonstrated that obesity-resistant rats have significantly greater spontaneous physical activity than obesity-prone rats, and that spontaneous physical activity predicts body weight gain. Although the energetic cost of activity varies between types of activity and may be regulated, individual level of spontaneous physical activity is important in determining propensity for obesity. We review the current status of knowledge about the brain mechanisms involved in controlling the level of spontaneous physical activity and the NEAT so generated. Focus is on potential neural mediators of spontaneous physical activity and NEAT, including orexin A (also known as hypocretin 1), agouti-related protein, ghrelin, and neuromedin U, in addition to brief mention of neuropeptide Y, corticotrophin releasing hormone, cholecystokinin, estrogen, leptin, and dopamine effects on spontaneous physical activity. We further review evidence that strain differences in orexin stimulation pathways for spontaneous physical activity and NEAT appear to track with the body weight phenotype, thus providing a potential mechanistic explanation for reduced activity and weight gain.

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