BODY WEIGHT CHANGES IN THE MOUSE DURING THE OESTROUS CYCLE AND PSEUDOPREGNANCY

1957 ◽  
Vol 15 (2) ◽  
pp. 230-233 ◽  
Author(s):  
A. D. DEWAR

SUMMARY Apart from a tendency to a slight increase in weight at oestrus, no marked cyclic alterations in body weight are evident in the mouse during the oestrous cycle. In pseudopregnancy, however, a definite weight increase (on average 7%) occurs; this weight gain is rapidly lost after removal of the ovaries, but may be maintained after spaying by the administration of progesterone, thus indicating a close similarity to the weight change of pregnancy.

2010 ◽  
Vol 68 (2) ◽  
pp. 277-281 ◽  
Author(s):  
Camilla N. De Gaspari ◽  
Carlos A.M. Guerreiro

Antiepileptic drugs (AED) may cause body weight changes. OBJECTIVE: To evaluate the dietary habits and body weight associated with AED in epileptic patients. METHOD: Sixty-six patients were subjected to two interviews, and had their weight and body mass index calculated and compared at both times, interval between six to eight months. RESULTS: It was observed that 59.1% showed weight gain. The patients who had no weight gain had a greater proportion of individuals who engaged in some form of physical activity. However, of the 45 patients who maintained their initial dietary and medication pattern, 75.6% recorded a weight gain. Weight gain was seen in 66.7% of patients on carbamazepine (n=18), 60% on valproate (n=5), 50% on carbamazepine+clobazam treatment (n=14), and 58.3% of patients on other(s) polytherapy (n=12). CONCLUSION: The patient should be alerted to possible weight gain, and should be advised about dieting and participating in regular physical activity.


2002 ◽  
Vol 120 (4) ◽  
pp. 113-117 ◽  
Author(s):  
Luciano José Megale Costa ◽  
Paulo César Spotti Varella ◽  
Auro del Giglio

CONTEXT: Patients receiving adjuvant chemotherapy for breast cancer have a tendency to gain weight. This tendency has determining factors not completely defined and an unknown prognostic impact. OBJECTIVE: To evaluate weight change during chemotherapy for breast cancer in a defined population and to identify its predisposing factors and possible prognostic significance. DESIGN: Observational, retrospective cohort study. SETTING: Private clinical oncology service. PARTICIPANTS: 106 consecutive patients with breast cancer treated between June 1994 and April 2000, who received neoadjuvant (n = 8), adjuvant (n = 74) or palliative (n = 24) chemotherapy. INTERVETION: Review of medical records and gathering of clinical information, including patients’ body weights before treatment and at follow-up reviews. MAIN MEASUREMENTS: Body weight change, expressed as percentage of body weight per month in treatment; role of clinical data in weight change; and influence of weight change in overall survival and disease-free survival. RESULTS: There was a mean increase of 0.50 ± 1.42% (p = 0.21) of body weight per month of treatment. We noted a negative correlation between metastatic disease and weight gain (r = -0.447, p < 0.0001). In the adjuvant and neoadjuvant therapy groups there was a mean weight gain of 0.91 ± 1.19 % (p < 0.00001) per month, whereas in the metastatic (palliative) group, we observed a mean loss of 0.52 ± 1.21% (p = 0.11) of body weight per month during the treatment. We did not observe any statistically significant correlation between weight changes and disease-free survival or overall survival. CONCLUSIONS: Women with breast cancer undergoing adjuvant or neoadjuvant chemotherapy gain weight, whereas metastatic cancer patients will probably lose weight during palliative chemotherapy. Further studies are needed in order to evaluate the prognostic significance of weight changes during chemotherapy.


Author(s):  
Liancheng Zhao ◽  
Huanhuan Liu ◽  
Long Zhou ◽  
Ying Li ◽  
Min Guo ◽  
...  

Background: The evidences for the relationship between long-term weight gain and metabolic syndrome (MetS) in Chinese population were limited. Therefore, this study aims to explore the association of body weight status in early adulthood and weight changes with MetS.Methods: Data from China Multicenter Collaborative Study of Cardiovascular Epidemiology including 12808 participants aged 35–59 were used. Participants were surveyed for cardiovascular risk factors and a self-reported weight at age 25, which was defined as early adulthood. Weight change was calculated as the difference between baseline weight and early adulthood weight. MetS was defined according to AHA/NHLBI definition in 2009. Multivariate logistic regression model was used to examine the association between early adulthood weight status, weight change and MetS.Results: Mean age of participants was 46.7 years, including 6134 men and 6674 women. The overall prevalence of MetS was 21.8%. After adjusted for age, sex and other confounding factors, both BMI at 25 age and weight gain were positively associated with the risk of MetS. Being overweight (BMI, 24–27.9 kg m-2) or obese (BMI ≥28 kg m-2) at early adulthood was related to an increased risk of MetS, the odds ratio (OR) and 95%confidence interval (CI) was 3.24 (2.82–3.72) and 13.31 (8.72–20.31). In addition, weight gain was also associated with higher risk of MetS (P for trend<0.01).Conclusions: Overweight and obesity in early adulthood and weight gain were both independently related to an increased risk of MetS in the middle-aged Chinese men and women. 


Nutrition ◽  
2018 ◽  
Vol 48 ◽  
pp. 61-66 ◽  
Author(s):  
Susan W. Groth ◽  
Amy LaLonde ◽  
Tongtong Wu ◽  
I. Diana Fernandez

2008 ◽  
Vol 61 (5-6) ◽  
pp. 274-280 ◽  
Author(s):  
Dragana Jovanovic ◽  
Branko Jakovljevic ◽  
Katarina Paunovic ◽  
Dusan Grubor ◽  
Aleksandar Milovanovic

Introduction Weight variations are a common phenomenon. Therefore, concern has been raised about the association between weight changes and weight variations and coronary heart disease (CHD). The aim of this study was to estimate the influence of weight change and weight variations as risk factors for coronary heart disease. Materials and methods The investigation was conducted as an observational cross-sectional study, including 102 participants of both genders: 61 patients with CHD and 41 healthy controls. All participants underwent anthropometric measurements and completed a questionnaire that included 1) weight changes in adulthood (maximum and minimum weight), 2) presence and number of weight variations in the 10 years prior to the onset of disease and 3) the size of weight change (weight gain or weight loss in kg). One weight variation was defined as weight loss followed by weight gain for more than 10% of body weight, or about 7 kg. Multivariant logistic regression was used for the estimation of significant predictors for the occurrence of coronary heart disease. Results Participants with CHD had higher values of body weight in adulthood compared to healthy controls, larger number of weight variations in the last 10 years, and more frequently reported weight gain and weight loss for more than 10 kg. The highest risk for the occurrence of coronary heart disease was observed for participants who had more than 3 weight variations for 10% (OR=2.13; 95%CI=0.98-5.48), those with weight loss over 10 kg (OR=2.16; 95%CI=1.71-2.72) and those with weight gain over 10 kg (OR=2.71; 95%CI=1.08-6.83), regardless of gender, age, smoking, body mass index and blood pressure. Discussion Several mechanisms are suggested to explain the relationship between weight changes and variations and coronary heart disease, including changes in plasma lipid levels, insulin levels, decrease of HDL cholesterol, increase of C-reactive protein and increase of blood pressure. Conclusion This study suggests that frequent and very intense weight changes can be considered important predictors for the occurrence of coronary heart disease.


2021 ◽  
Vol 7 (1) ◽  
pp. 46-53
Author(s):  
Ana Carolina Peçanha Antonio ◽  
Vivian Rodrigues Fernandes ◽  
Karina de Oliveira Azzolin

Abstract Introduction Positive fluid status has been associated with a worse prognosis in intensive care unit (ICU) patients. Given the potential for errors in the calculation of fluid balance totals and the problem of accounting for indiscernible fluid losses, measurement of body weight change is an alternative non-invasive method commonly used for estimating body fluid status. The objective of the study is to compare the measurements of fluid balance and body weight changes over time and to assess their association with ICU mortality. Methods This prospective observational study was conducted in the 34-bed multidisciplinary ICU of a tertiary teaching hospital in southern Brazil. Adult patients were eligible if their expected length of stay was more than 48 hours, and if they were not receiving an oral diet. Clinical demographic data, daily and cumulative fluid balance with and without indiscernible water loss, and daily and total body weight changes were recorded. Agreement between daily fluid balance and body weight change, and between cumulative fluid balance and total body weight change were calculated. Results Cumulative fluid balance and total body weight change differed significantly among survivors and non survivors respectively, +2.53L versus +5.6L (p= 0.012) and -3.05kg vs -1.1kg (p= 0.008). The average daily difference between measured fluid balance and body weight was +0.864 L/kg with a wide interval: -3.156 to +4.885 L/kg, which remained so even after adjustment for indiscernible losses (mean bias: +0.288; limits of agreement between -3.876 and +4.452 L/kg). Areas under ROC curve for cumulative fluid balance, cumulative fluid balance with indiscernible losses and total body weight change were, respectively, 0.65, 0.56 and 0.65 (p= 0.14). Conclusion The results indicated the absence of correspondence between fluid balance and body weight change, with a more significant discrepancy between cumulative fluid balance and total body weight change. Both fluid balance and body weight changes were significantly different among survivors and non-survivors, but neither measurement discriminated ICU mortality.


2020 ◽  
Vol 4 (Supplement_1) ◽  
Author(s):  
Reece Moore ◽  
Parker McDuffie ◽  
Keri Broadley ◽  
Denise Carneiro-Pla ◽  
Mahsa Javid

Abstract Introduction: Weight gain is a common source of apprehension for patients undergoing thyroidectomy. However, contradictory reports exist regarding the presence and degree of weight gain following thyroid surgery and all known studies have short term follow-up This study evaluated weight changes following total thyroidectomy (TT) and lobectomy (L) over an extended time period. Methods: Retrospective analysis was performed of weight changes following surgery for patients who underwent TT or L (n=387) as compared with those undergoing parathyroidectomy for primary hyperparathyroidism (n=201) in a tertiary referral hospital between 2007-2012. Clinical, demographic and pre- and postoperative weight data was collected with a median follow-up of 55.6 months. Results: Postoperative weight change was observed at 1, 6, 12, and 36-months in patients who underwent TT (μ=+0.21kg, μ=+1.33kg, μ=+0.59kg, μ=+0.60kg; p&lt;0.05) and at 6-months for patients who underwent L (μ=+0.93kg, p&lt;0.05) compared with those who underwent parathyroidectomy. Patients having TT and L showed a general trend of weight gain compared to the control group up to 108-months post-operation; however, this weight gain was non-significant (p&lt;0.05). Significant postoperative weight gain was observed in patients who had TT (1-month μ=+0.40kg, 6-months μ=+2.14kg, and 12-months μ=+1.40kg) and L (6-months μ=+1.04kg) for benign conditions compared with the parathyroidectomy group. Patients who had TT gained 0.40kg more than L patients at 12-months post-op (p&lt;0.05), but no significant difference existed at other time points up to 108-months. Tukey HSD post-hoc analysis showed weight gain in benign, thyroiditis, and thyroid cancer patient groups was not significantly different from 6-months to 108-months post-operation. Furthermore, neither race nor sex was correlated with weight gain. Relative risks with 95% CI for weight gain following TT and L compared to control are: 1-month TT=1.74, 0.96-3.14, L=1.59, 0.58-2.58; 6-month TT=1.27, 0.85-1.89, L=1.42, 0.85-2.11; 12-month TT=1.44, 0.92-2.28, L=1.34, 0.86-2.36; 24-month TT=1.17, 0.82-1.67, L=1.22, 0.69-1.60. In the group of patients who gained greater than 2kg, those who underwent TT had significant weight increase compared to the parathyroidectomy group at 6-months postoperatively (Mann-Whitney U, p=0.011). In the subgroup of patients with weight gain greater than 2kg, those who had L did not have significant weight increase at any time point. Conclusion: Weight change following TT when compared with parathyroidectomy is significant shortly after surgery. However, these changes are not significant at long-term follow-up.


2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e11534-e11534
Author(s):  
J. Stebbing ◽  
H. C. Keun ◽  
J. Sidhu ◽  
M. Patterson ◽  
S. R. Bloom ◽  
...  

e11534 Background: Weight gain in women receiving chemotherapy following breast cancer diagnosis has negative implications on quality of life and those who gain weight during treatment appear to be at higher risk of disease recurrence. The mechanism(s) implicated in chemotherapy associated weight gain are poorly understood. Methods: To investigate this further, we assessed the metabolic, cytokine and appetite related peptide alterations before and during adjuvant FEC chemotherapy for early breast cancer in post-menopausal women, and correlated these with body mass measurements. Specifically, we performed global metabolic profiling (metabonomics/ metabolomics) using 1H nuclear magnetic resonance spectroscopy of sequential sera, examined ghrelin immunoreactivity, performed radioimmunoassays for glucagon like peptide-1 (GLP-1) and peptide YY (PYY) and electro-chemiluminescent cytokine analyses (tumor necrosis factor-α and interleukin-6; TNF-α, IL-6) on the sequential samples. Results: In those who gained ≥ 1.5kg (on average ∼5% of initial body weight), several metabolite levels were positively associated with weight change, in particular lactate which was 55% greater in patients with increased body weight during chemotherapy compared to those with stable weight during chemotherapy (p<0.01; the pre-specified primary end-point). A significant inverse relationship was also observed between levels of TNF-α and weight change group (ρ 0.476, p<0.05). Baseline lactate, alanine and body fat were all prognostic for weight gain (ROC AUC >0.77, p<0.05). No significant associations were observed between any other parameter and weight gain, nor any parameter and tumor burden, including cytokine and appetite peptide alterations. Conclusions: Metabonomics identifies pathways perturbed during early chemotherapy for breast cancer, and establishes a positive association between serum lactate, body fat, TNF-α and substantive weight changes during chemotherapy. Interventions that target these processes may be clinically useful in breast cancer. No significant financial relationships to disclose.


2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Janet Jull ◽  
Dawn Stacey ◽  
Sarah Beach ◽  
Alex Dumas ◽  
Irene Strychar ◽  
...  

Objective.To determine the effectiveness of exercise and/or nutrition interventions and to address body weight changes during the menopause transition.Methods.A systematic review of the literature was conducted using electronic databases, grey literature, and hand searching. Two independent researchers screened for studies using experimental designs to evaluate the impact of exercise and/or nutrition interventions on body weight and/or central weight gain performed during the menopausal transition. Studies were quality appraised using Cochrane risk of bias. Included studies were analyzed descriptively.Results.Of 3,564 unique citations screened, 3 studies were eligible (2 randomized controlled trials, and 1 pre/post study). Study quality ranged from low to high risk of bias. One randomized controlled trial with lower risk of bias concluded that participation in an exercise program combined with dietary interventions might mitigate body adiposity increases, which is normally observed during the menopause transition. The other two studies with higher risk of bias suggested that exercise might attenuate weight loss or weight gain and change abdominal adiposity patterns.Conclusions.High quality studies evaluating the effectiveness of interventions targeting body weight changes in women during their menopause transition are needed. Evidence from one higher quality study indicates an effective multifaceted intervention for women to minimize changes in body adiposity.


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