Fitness Level and Risk of Weight Gain in Middle-Age Women: A Prospective Cohort Study

2010 ◽  
Vol 7 (3) ◽  
pp. 308-315 ◽  
Author(s):  
Larry Tucker ◽  
Travis Peterson
Keyword(s):  
Weight Gain ◽  
Energy Intake ◽  
Middle Age ◽  
Treadmill Test ◽  
Fitness Level ◽  
Food Records ◽  
Increase Risk ◽  
A Prospective Study ◽  
Risk Ratios

Background:This study was conducted to determine if cardiorespiratory fitness at baseline, and changes in fitness, influence risk of weight gain (≥3 kg) over 20 months. Another aim was to ascertain if potential confounding factors, including age, education, strength training, energy intake, and weight, influence risk of weight gain.Methods:In a prospective study of 257 women, fitness (VO2max) was assessed using a graded, maximal treadmill test at baseline and follow-up. Energy intake was measured using 7-day, weighed food records. Subjects were divided into quartiles based on fitness. Risk ratios were used to show the risk of weight gain among those who were fit at baseline compared with their counterparts.Results:Most women gained weight and 23% gained ≥3 kg. Mean VO2max was 35.7 ± 7.2 mL·kg−1·min−1. Women with low-fitness at baseline had 3.18 times (95% CI: 1.46 to 6.93) greater risk, and moderately fit women had 2.24 times (95% CI: 1.04 to 4.82) greater risk of weight gain than women in the high-fitness quartile. Adjusting for potential confounders had little effect on results.Conclusions:High levels of fitness seem to help protect middle-aged women against weight gain, whereas low and moderate fitness increase risk of weight gain over time.

scholarly journals Reduced Albumin Concentration Predicts Weight Gain and Higher Ad Libitum Energy Intake in Humans

2021 ◽  
Vol 12 ◽  
Author(s):  
Alessio Basolo ◽  
Takafumi Ando ◽  
Douglas C. Chang ◽  
Tim Hollstein ◽  
Jonathan Krakoff ◽  
...  
Keyword(s):  
Weight Gain ◽  
Energy Expenditure ◽  
Energy Intake ◽  
Fat Free Mass ◽  
Albumin Concentration ◽  
Plasma Albumin ◽  
Clinical Trial Registration ◽  
Ad Libitum ◽  
Intake Regulation

ObjectiveCirculating albumin is negatively associated with adiposity but whether it is associated with increased energy intake, lower energy expenditure or weight gain has not been examined.MethodsIn study 1 (n=238; 146 men), we evaluated whether fasting albumin concentration was associated with 24-h energy expenditure and ad libitum energy intake. In study 2 (n=325;167 men), we evaluated the association between plasma albumin and change in weight and body composition.ResultsAfter adjustment for known determinants of energy intake lower plasma albumin concentration was associated with greater total daily energy intake (β= 89.8 kcal/day per 0.1 g/dl difference in plasma albumin, p=0.0047). No associations were observed between plasma albumin concentrations and 24-h energy expenditure or 24-h respiratory quotient (p>0.2). Over 6 years, volunteers gained on average 7.5 ± 11.7 kg (p<0.0001). Lower albumin concentrations were associated with greater weight [β=3.53 kg, p=0.039 (adjusted for age, sex, follow up time), CI 0.16 to 6.21 per 1 g/dl difference albumin concentration] and fat mass (β=2.3 kg, p=0.022), respectively, but not with changes in fat free mass (p=0.06).ConclusionsLower albumin concentrations were associated with increased ad libitum food intake and weight gain, indicating albumin as a marker of energy intake regulation.Clinical Trial RegistrationClinicalTrials.gov, identifiers NCT00340132, NCT00342732.

scholarly journals Effect of intensive counselling on the quality of dietary fats in pregnant women at high risk of gestational diabetes mellitus

2011 ◽  
Vol 108 (5) ◽  
pp. 910-917 ◽  
Author(s):  
Eeva Korpi-Hyövälti ◽  
Ursula Schwab ◽  
David E. Laaksonen ◽  
Hilpi Linjama ◽  
Seppo Heinonen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Weight Gain ◽  
Birth Weight ◽  
High Risk ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Intervention Group ◽  
Food Records

As part of a feasibility study to prevent gestational diabetes mellitus (GDM), we evaluated the effect of an intensive dietary therapy on quality of diet, weight gain and birth weight in women at high risk of GDM. Women with risk factors for GDM (n 54) were randomly assigned from April 2005 to May 2006 to a lifestyle intervention group (n 27) including dietary advice six times during pregnancy or to a close follow-up group (n 27) in a community-based setting in Finland. Dietary intake was recorded three times during pregnancy using 4 d food records. The main outcome was the incidence of GDM. The secondary outcomes were the changes in nutrient intake, weight gain and birth weight. Overall, seventeen (65 %) women in the intervention group and eighteen (69 %) women in the close follow-up group returned all three food records. PUFA intake increased (P = 0·008) during pregnancy in the intervention as compared to the close follow-up group. There were no clear differences in the changes of saturated fat or fibre intake between the groups. Intensive dietary education resulted in a somewhat lower weight gain during pregnancy (P = 0·062) and higher birth weights of the infants (P = 0·047) without an effect on macrosomia as compared to the close follow-up group. Individualised counselling by a clinical nutritionist as part of a lifestyle intervention improved the quality of dietary fat intake in pregnant women at high risk of GDM.

scholarly journals Unhealthy eating behaviors and weight gain: A prospective study in young and middle-age adults

Obesity ◽  
2016 ◽  
Vol 24 (5) ◽  
pp. 1178-1184 ◽  
Author(s):  
Luz M. León-Muñoz ◽  
Esther García-Esquinas ◽  
Hosanna Soler-Vila ◽  
Pilar Guallar-Castillón ◽  
José R. Banegas ◽  
...  
Keyword(s):  
Weight Gain ◽  
Prospective Study ◽  
Eating Behaviors ◽  
Middle Age ◽  
Unhealthy Eating ◽  
A Prospective Study

scholarly journals Reward Region Responsivity Predicts Future Weight Gain and Further Evidence that the TaqIA Allele Moderates these Predictive Effects

2017 ◽  
Author(s):  
Kyle Stanley Burger
Keyword(s):  
Weight Gain ◽  
Body Fat ◽  
Neural Response ◽  
Monetary Reward ◽  
Healthy Weight ◽  
Vulnerability Factors ◽  
Allele Status ◽  
Increase Risk ◽  
Dopamine Signaling

As no large prospective study has evaluated neural vulnerability factors that predict future weight gain we tested whether neural response to receipt and anticipated receipt of palatable food and monetary reward predicted weight gain over 3-year follow-up in originally healthy-weight adolescents and whether relations were moderated by the TaqIA polymorphism, which affects dopamine signaling capacity. 153 adolescent humans completed functional magnetic resonance imaging (fMRI) paradigms assessing response to these four events; body fat was assessed yearly over follow-up. Split half analyses indicated that elevated orbitofrontal cortex response to cues signaling impending milkshake receipt predicted future body fat gain (r = .32), which is a novel finding that provides support for the incentive sensitization theory of obesity. Neural response to receipt and anticipated receipt of monetary reward did not predict body fat gain, which has not been tested previously. Replicating an interaction reported previously (Stice et al., 2008a), elevated caudate response to milkshake receipt predicted future body fat gain for youth with a genetic propensity for greater dopamine signaling by virtue of possessing the TaqIA A2/A2 allele, but lower caudate response predicted body fat gain for youth with a genetic propensity for less dopamine signaling by virtue of possessing a TaqIA A1 allele, though this interaction was only marginal (pFWE = .06). Parental obesity, which correlated with TaqIA allele status (OR = 2.7), similarly moderated the predictive effects of caudate response to milkshake receipt to body fat gain, which is also a novel finding. The former interaction implies that too much or too little dopamine signaling capacity and reward region responsivity may increase risk for overeating, suggesting the possibility of qualitatively distinct reward surfeit and reward deficit pathways to obesity.

scholarly journals MVPA Is Associated with Lower Weight Gain in 8–10 Year Old Children: A Prospective Study with 1 Year Follow-Up

PLoS ONE ◽  
2011 ◽  
Vol 6 (4) ◽  
pp. e18576 ◽  
Author(s):  
Abigail Fisher ◽  
Claire Hill ◽  
Laura Webber ◽  
Lisa Purslow ◽  
Jane Wardle
Keyword(s):  
Weight Gain ◽  
Prospective Study ◽  
Lower Weight ◽  
Lower Weight Gain ◽  
A Prospective Study

Weight Gain, Energy Intake, Energy Expenditure, and Immunosuppressive Therapy in Kidney Transplant Recipients

2020 ◽  
Vol 30 (4) ◽  
pp. 322-328
Author(s):  
Deniz Taşdemir ◽  
Nilgün Aksoy
Keyword(s):  
Physical Activity ◽  
Weight Gain ◽  
Energy Expenditure ◽  
Immunosuppressive Therapy ◽  
Kidney Transplant ◽  
Energy Intake ◽  
Transplant Recipients ◽  
Kidney Transplant Recipients ◽  
The Relationship

Background: Weight gain after kidney transplantation is a common health problem. The factors in weight gain after kidney transplant include many factors such as age, ethnicity, gender, change in lifestyle (eg, kilocalorie intake and physical activity level), and immunosuppressive therapy. Research Questions: This study aimed to evaluate the relationship between weight gain and energy intake in dietary, energy expenditure in physical activity, and immunosuppressive therapy in kidney transplant recipients. Design: This prospective, observational study included 51 participants who underwent kidney transplant, during 6 months from the start of the study. Anthropometric measurements were performed at first week, third- and sixth-month follow-ups of transplant recipients. Participants also completed 3-day “Dietary Record Form” and the “Physical Activity Record Form” at each follow-up. Simple frequency, analysis of variance analysis, and correlation analysis were used for data analysis. Results: Weight gain in sixth month follow-up compared to baseline value was positively related to energy intake in first week (r = 0.59), third month (r = 0.75), and sixth month (r = 0.67) follow-ups, and energy expenditure in first week (r = 0.35) and sixth month (r = 0.34) follow-ups. However, weight gain was negatively related to mycophenolate mofetil dose (mg/d) in sixth month (r = −0.31) follow-up ( P < .05). Discussion: The results of this study provide an opportunity to reflect and discuss on modifiable risk factors such as energy intake and energy expenditure that affect weight gain posttransplantation in participants. It also examines the relationship between immunosuppressive therapy. Additionally, these results can be effective in designing interventions and managing risk factors to achieve weight management goals.

scholarly journals Distribution of energy intake throughout the day and weight gain: a population-based cohort study in Spain

2016 ◽  
Vol 115 (11) ◽  
pp. 2003-2010 ◽  
Author(s):  
Ygor Hermengildo ◽  
Esther López-García ◽  
Esther García-Esquinas ◽  
Raúl F. Pérez-Tasigchana ◽  
Fernando Rodríguez-Artalejo ◽  
...  
Keyword(s):  
Weight Gain ◽  
Energy Intake ◽  
Weight Control ◽  
Population Based ◽  
Weight Regulation ◽  
Dietary History ◽  
Eating Occasions ◽  
Study Participants ◽  
Overweight Or Obesity

AbstractExperimental research suggests that food timing is associated with weight regulation. However, the association between the distribution of energy intake (EI) throughout the day and weight gain in the population is uncertain. A cohort of 4243 individuals (49·9 % men, 50·1 % women) aged ≥18 years was selected in 2008–2010 and followed-up through 2012. At baseline, food consumption for a typical week in the previous year was collected with a validated dietary history, and EI was assessed at six eating occasions: breakfast, mid-morning meal, lunch, mid-afternoon meal, dinner and snacking (at any other moment). Individuals were classified into sex-specific quartiles of %EI for each eating occasion. The cut-off points for increasing quartiles of %EI at lunch were 34·4, 40·8 and 47·7 % in men and 33·2, 39·4 and 46·1 % in women. Weight was self-reported at baseline and at the end of follow-up. During a 3·5-year follow-up, 16·3 % of study participants gained >3 kg. Compared with those in the lowest quartile of %EI at lunch, the multivariate OR of gaining >3 kg was 0·79 (95 % CI 0·63, 0·99) in the second quartile, 0·82 (95 % CI 0·64, 1·04) in the third quartile and 0·62 (95 % CI 0·47, 0·80) in the highest quartile (Ptrend: 0·001). The association was stronger among women and those with overweight or obesity. No association was found between the %EI at the rest of the eating occasions and weight gain. In conclusion, a higher %EI at lunch was associated with a lower risk of weight gain; this may help weight control through the appropriate distribution of daily EI.

RESEARCH THE VALUE OF THE COMBINATION OF T WAVE ALTERNANS AND NT-PROBNT IN PREDICTING SUDDEN CARDIAC DEATH

2012 ◽  
pp. 74-83
Author(s):  
Anh Tien Hoang ◽  
Nhat Quang Nguyen
Keyword(s):  
Myocardial Infarction ◽  
Sudden Cardiac Death ◽  
Cardiac Death ◽  
Ventricular Arrhythmias ◽  
Healthy Person ◽  
Treadmill Test ◽  
T Wave ◽  
T Wave Alternans

Background: Decades of research now link TWA with inducible and spontaneous clinical ventricular arrhythmias. This bench-to-bedside foundation makes TWA, NT-ProBNP a very plausible index of susceptibility to ventricular arrythmia, and motivates the need to define optimal combination of TWA and NT-ProBNP in predicting ventricular arrythmia in myocardial infarction patients. We research this study with 2 targets: 1. To evaluate the role of TWA in predicting sudden cardiac death in myocardial infarction patients. 2. To evaluate the role of NT-ProBNP in predicting sudden cardiac death in myocardial infarction patients 3. Evaluate the role of the combined NT-ProBNP and TWA in predicting sudden cardiac death in myocardial infarction patients. Methods: Prospective study with follow up the mortality in 2 years: 71 chronic myocardial infarction patients admitted to hospital from 5/2009 to 5/20011 and 50 healthy person was done treadmill test to caculate TWA; ECG, echocardiography, NT-ProBNP. Results: Cut-off point of NT-ProBNP in predicting sudden cardiac death is 3168 pg/ml; AUC = 0,86 (95% CI: 0,72 - 0,91); Cut-off point of TWA in predicting sudden cardiac death is 107 µV; AUC = 0,81 (95% CI: 0,69 - 0,87); NT-ProBNP can predict sudden cardiac death with OR= 7,26 (p<0,01); TWA can predict sudden cardiac death with OR= 8,45 (p<0,01). The combined NT-ProBNP and TWA in predicting ventricular arrythmia in heart failure patients: OR= 17,91 (p<0,001). Conclusions: The combined NT-ProBNP and TWA have the best predict value of sudden cardiac death in myocardial infarction patients, compare to NT-ProBNP or TWA alone

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