scholarly journals Body Weight Changes in Hyperthyroidism: Timing and Possible Explanations during a One Year Repeated Measurement Study

2020 ◽  
pp. 1-7
Author(s):  
Jesper Karmisholt ◽  
Allan Carlé ◽  
Stig Andersen
Keyword(s):  
Physical Activity ◽  
Energy Efficiency ◽  
Body Weight ◽  
Thyroid Hormones ◽  
Physical Activity Level ◽  
Activity Level ◽  
First Year ◽  
Weight Changes ◽  
Body Weight Changes ◽  
Measurement Study

<b><i>Background:</i></b> Weight gain during treatment of hyperthyroidism is a frequent and for many patients unwanted outcome. With this repeated measurement study, we explored the timing of weight changes during the first year of antithyroid drug (ATD) treatment and assessed the correlation between body weight changes and changes in thyroid hormones, resting energy expenditure (REE), physical activity level, and energy efficiency. <b><i>Methods:</i></b> Patients with new onset hyperthyroidism were investigated every second month during the first year of ATD treatment. At each investigation, the following were measured: body weight, thyroid hormone concentrations, physical activity level, and daily number of steps, REE, and exercise performance. <b><i>Results:</i></b> Two men and eleven women, all sedentary, mean age 49(SD: 9.3) years were included. Significant changes after 1 year occurred for body weight (68.9–74.1 kg), thyroid hormones (free T3 [fT3] 17.5 to 4.42 pmol/L), REE (1,630–1,484 kcal/24 h), and energy efficiency at lower (50 W) workloads (16.0–17.6%). In individual patients, only REE and fT3 correlated to changes in body weight. Physical activity level did not change during treatment. <b><i>Conclusion:</i></b> In this study, treatment of hyperthyroidism was associated with marked increase in body weight in the patients. This increase correlated to a decrease in REE and only to a negligible extent to changes in energy efficiency and not at all to changes in physical activity level of daily living.

scholarly journals Modification in body weight associated with antiepileptic drugs

2010 ◽  
Vol 68 (2) ◽  
pp. 277-281 ◽  
Author(s):  
Camilla N. De Gaspari ◽  
Carlos A.M. Guerreiro
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Weight ◽  
Weight Gain ◽  
Antiepileptic Drugs ◽  
Body Mass ◽  
Dietary Habits ◽  
Weight Changes ◽  
Body Weight Changes ◽  
Epileptic Patients

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.

scholarly journals Effect of academic stress on physical activity level and cognitive functions in first year medical students: An observational study

2020 ◽  
Vol 11 (5) ◽  
pp. 8-11
Author(s):  
Jitendra Sorout ◽  
Satyanath Reddy Kodidala ◽  
Harsha Soni ◽  
Priyanka Singh ◽  
Nirmal Sharma
Keyword(s):  
Physical Activity ◽  
Medical Students ◽  
Cognitive Functions ◽  
Physical Activity Level ◽  
Activity Level ◽  
First Year ◽  
Mean Values ◽  
Significant Difference ◽  
The Mean ◽  
First Year Medical Students

Background: Newly admitted medical students experience a different curriculum, which can be a stressor and may be the reason of stress during student life. Stress may affect physiological, psychological and cognitive functions of the students. Aims and Objective: Aim of the study was to assess the effect of academic stress on physical activity level and cognitive functions in first year medical students. Materials and Methods: This observational study was conducted on 30 healthy newly admitted medical students (18 -25 years). The data was collected thrice, baseline, after two months and after four months. Stress was assessed by using DASS and Cohen perceived stress scale (PSS). GPAQ was used to estimate the physical activity level. And cognitive functions were assessed by using subjective method (MMSE questionnaire) and objective method (P300). Results: No significant difference of mean values of age, height, weight, BMI, physical activity level, DASS score, PSS and P300 latency were observed over the time to which recording was taken. The mean score of PAL represents the high physical activity. But the score of DASS and PSS represent severe and moderate stress level respectively. The significant difference was seen in the mean values of MMSE score and P300 amplitude over the time to which recording taken. Conclusion: The present study results we can conclude that students have stress during their academic period. And this stress might be helpful in potentiating the cognitive functions with the optimum physical activity.

scholarly journals Cardiometabolic Health in Relation to Lifestyle and Body Weight Changes 3–8 Years Earlier

Nutrients ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1953 ◽  
Author(s):  
Tessa Van Elten ◽  
Mireille. Van Poppel ◽  
Reinoud Gemke ◽  
Henk Groen ◽  
Annemieke Hoek ◽  
...  
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Body Weight ◽  
Cardiovascular Health ◽  
Pulse Wave ◽  
Cardiometabolic Health ◽  
Weight Changes ◽  
Body Weight Changes ◽  
Infertile Women

The degree to which individuals change their lifestyle in response to interventions differs and this variation could affect cardiometabolic health. We examined if changes in dietary intake, physical activity and weight of obese infertile women during the first six months of the LIFEstyle trial were associated with cardiometabolic health 3–8 years later (N = 50–78). Lifestyle was assessed using questionnaires and weight was measured at baseline, 3 and 6 months after randomization. BMI, blood pressure, body composition, pulse wave velocity, glycemic parameters and lipid profile were assessed 3–8 years after randomization. Decreases in savory and sweet snack intake were associated with lower HOMA-IR 3–8 years later, but these associations disappeared after adjustment for current lifestyle. No other associations between changes in lifestyle or body weight during the first six months after randomization with cardiovascular health 3–8 years later were observed. In conclusion, reductions in snack intake were associated with reduced insulin resistance 3–8 years later, but adjustment for current lifestyle reduced these associations. This indicates that changing lifestyle is an important first step, but maintaining this change is needed for improving cardiometabolic health in the long-term.

scholarly journals Effect of a prenatal lifestyle intervention on physical activity level in late pregnancy and the first year postpartum

PLoS ONE ◽  
2017 ◽  
Vol 12 (11) ◽  
pp. e0188102 ◽  
Author(s):  
Birgitte Sanda ◽  
Ingvild Vistad ◽  
Linda Reme Sagedal ◽  
Lene Annette Hagen Haakstad ◽  
Hilde Lohne-Seiler ◽  
...  
Keyword(s):  
Physical Activity ◽  
Lifestyle Intervention ◽  
Physical Activity Level ◽  
Late Pregnancy ◽  
Activity Level ◽  
First Year

scholarly journals Weight Gain during Systemic Oncologic Therapy for Breast Cancer: Changes in Food Intake and Physical Activity

2019 ◽  
Vol 65 (2) ◽  
Author(s):  
Marco Aurélio Da Silva Ribeiro-Sousa ◽  
Isabelle Mastelaro ◽  
Fernanda Maris Peria ◽  
Hélio Angotti Carrara ◽  
Jurandyr Moreira de Andrade ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Physical Activity ◽  
Body Weight ◽  
Weight Gain ◽  
Food Intake ◽  
Physical Activity Level ◽  
Gastrointestinal Symptoms ◽  
Activity Level ◽  
Oncologic Treatment ◽  
Oncologic Therapy

Introduction: Weight gain frequently occurs during treatment for breast cancer. Objective: To evaluate changes in dietary intake and physical activity in the weight evolution of women on systemic oncologic treatment for breast cancer. Method: The prospective and comparative study included 89 women submitted to systemic oncologic treatment for breast cancer, grouped according to the occurrence of weight gain in relation to body weight documented before beginning treatment. Patients were classified as 1) Group with weight gain (those with an increase in body weight greater than or equal to 2% over pre-treatment weight); 2) Group without weight gain (those who maintained or lost weight during treatment). We calculated body mass index (BMI) of patients and analyzed their body composition by bioelectrical impedance (BIA). Changes in food intake, gastrointestinal symptoms, and physical activity level, as well as reductions in muscle and fat mass, were documented. Results: Tumor staging (p=0.24), use of antineoplastic drugs (p=0.23) and intention of treatment (p=0.61) were no different between the weight gain group (n=36) and no weight gain group (n=53). No difference was found in anthropometric and BIA data between the groups during oncologic treatment. Frequency of gastrointestinal symptoms was not different between the groups. However, increased food intake and bed rest, and a decrease in physical activity level were more frequent among women who gained weight during therapy. Conclusions: Weight gain in women undergoing systemic oncologic therapy for breast cancer may be, at least in part, caused by higher energy intake and lower physical activity.

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.

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