scholarly journals Weight Changes Post-Phentermine Use

2020 ◽  
Author(s):  
Cassandra Towns ◽  
Roschelle Heuberger ◽  
Jack Logomarsino ◽  
Arturo Olivera Jr.
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Weight Gain ◽  
Weight Regain ◽  
Weight Maintenance ◽  
P Value ◽  
Average Weight ◽  
Weight Changes ◽  
Survey Results ◽  
Reported Data

Purpose: Evaluate weight maintenance in subjects who lost weight while taking phentermine (PTM). Methods: This study was conducted by utilizing a validated survey to collect self-reported data about weight changes post-PTM use. The survey was sent to 19,986 email addresses of current and former patients of a PTM-based outpatient clinic, located in Chicago, IL; 546 participants completed the survey. Results were analyzed using a variety of techniques. Results: At the time of the survey, 42% of responders maintained all the weight lost while on PTM, and 25.2% had maintained a weight loss of at least 10% of their body weight. The average weight lost and maintained at the time of the survey was 3.75% ± 13.8% of body weight or 8.74 lbs ± 27.45 lbs. Nineteen responders had no net weight change. Fifty-nine responders reported a net weight gain, ranging from 2 to 70 lbs with a mean net weight gain of 16.07 lbs ± 13.87 lbs. The duration of time since discontinuing PTM use had a significant correlation with weight maintenance: r = 0.340, p value = .000. There was no significant correlation between duration of time using PTM and weight maintenance. No correlations were identified between education, income, or ethnicity and weight maintenance. A correlation was identified between weight maintenance and current exercise level: r = 0.218, p value = .000. Conclusions: Although more research is needed, with the results of this study, the investigators suggest that post-PTM use, weight regain is not significantly higher than weight regain through other weight loss programs. In order to achieve long-term weight loss maintenance, it may behoove patients to receive professional guidance about behavior modifications to maintain weight lost, particularly related to exercise and dietary changes. The investigators of this study suggest greater emphasis on behavior modification in patients taking PTM is indicated.

scholarly journals Managing Obesity in Lockdown: Survey of Health Behaviors and Telemedicine

Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1359
Author(s):  
Noga C Minsky ◽  
Dafna Pachter ◽  
Galia Zacay ◽  
Naama Chishlevitz ◽  
Miriam Ben-Hamo ◽  
...  
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Weight Gain ◽  
Health Behaviors ◽  
Online Survey ◽  
Eating Patterns ◽  
Weight Changes ◽  
Exercise Habits ◽  
Prevent Weight Gain ◽  
Vegetables And Fruits

Since the outbreak of COVID-19, billions of people have gone into lockdown, facing pandemic related challenges that engender weight gain, especially in the obese. We report the results of an online survey, conducted during Israel’s first quarantine, of 279 adults treated in hospital-based obesity clinics with counseling, medications, surgery, endoscopic procedures, or any combination of these for weight loss. In this study, we assessed the association between changes in dietary and lifestyle habits and body weight, and the benefits of receiving weight management care remotely through telemedicine during lockdown. Compared to patients not receiving obesity care via telemedicine, patients receiving this care were more likely to lose weight (OR, 2.79; p = 0.042) and also to increase participation in exercise (OR, 2.4; p = 0.022). While 40% of respondents reported consuming more sweet or salty processed snacks and 33% reported less vegetables and fruits, 65% reported more homemade foods. At the same time, 40% of respondents reported a reduction in exercise and 52% reported a decline in mood. Alterations in these eating patterns, as well as in exercise habits and mood, were significantly associated with weight changes. This study highlights that lockdown affects health behaviors associated with weight change, and advocates for the use of telemedicine to provide ongoing obesity care during future quarantines in order to promote weight loss and prevent weight gain.

scholarly journals Effects of green tea on weight maintenance after body-weight loss

2004 ◽  
Vol 91 (3) ◽  
pp. 431-437 ◽  
Author(s):  
Eva M. R. Kovacs ◽  
Manuela P. G. M. Lejeune ◽  
Ilse Nijs ◽  
Margriet S. Westerterp-Plantenga
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Green Tea ◽  
Weight Regain ◽  
Weight Maintenance ◽  
Epigallocatechin Gallate ◽  
Body Weight Loss ◽  
Caffeine Consumption ◽  
Very Low Energy Diet ◽  
Obese Subjects

The present study was conducted to investigate whether green tea may improve weight maintenance by preventing or limiting weight regain after weight loss of 5 to 10% in overweight and moderately obese subjects. The study had a randomised, parallel, placebo-controlled design. A total of 104 overweight and moderately obese male and female subjects (age 18–60 years; BMI 25–35kg/m2) participated. The study consisted of a very-low-energy diet intervention (VLED; 2·1MJ/d) of 4 weeks followed by a weight-maintenance period of 13 weeks in which the subjects received green tea or placebo. The green tea contained caffeine (104mg/d) and catechins (573mg/d, of which 323mg was epigallocatechin gallate). Subjects lost 6·4 (sd 1·9) kg or 7·5 (sd 2·2) % of their original body weight during the VLED (P<0·001). Body-weight regain was not significantly different between the green tea and the placebo group (30·5 (sd 61·8) % and 19·7 (sd 56·9)%, respectively). In the green tea treatment, habitual high caffeine consumption was associated with a higher weight regain compared with habitual low caffeine consumption (39 (sd 17) and 16 (sd 11)%, respectively; P<0·05). We conclude that weight maintenance after 7·5% body-weight loss was not affected by green tea treatment and that habitual caffeine consumption affected weight maintenance in the green tea treatment.

scholarly journals Changes and variations of body weight as risk factors for coronary heart disease

2008 ◽  
Vol 61 (5-6) ◽  
pp. 274-280 ◽  
Author(s):  
Dragana Jovanovic ◽  
Branko Jakovljevic ◽  
Katarina Paunovic ◽  
Dusan Grubor ◽  
Aleksandar Milovanovic
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Coronary Heart Disease ◽  
Weight Loss ◽  
Body Weight ◽  
Heart Disease ◽  
Weight Gain ◽  
Weight Change ◽  
Healthy Controls ◽  
Weight Changes

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.

scholarly journals Predictors of Weight Loss and Weight Gain in Weight Management Patients during the COVID-19 Pandemic

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Jennifer L. Kuk ◽  
Rebecca A. G. Christensen ◽  
Elham Kamran Samani ◽  
Sean Wharton
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Weight Gain ◽  
Weight Management ◽  
Management Program ◽  
Publicly Funded ◽  
Electronic Survey ◽  
Survey Results ◽  
Predictors Of Weight Loss ◽  
Management Changes

Objective. To examine the associations between patient struggles, health, and weight management changes during the COVID-19 pandemic. Methods. 585 patients attending a publicly funded clinical weight management program responded to an electronic survey. Results. Over half of the patients reported worsened overall health, mental health, physical activity, or diet during the pandemic. Approximately 30% of patients lost ≥3% of their body weight and 21% gained ≥3% of their body weight between March and July of the pandemic. Reports of social isolation was associated with increased odds for weight loss in women (OR = 2.0, 1.2–3.3), while low motivation (OR = 1.9, 1.0–3.7), depression (OR = 2.5, 1.0–6.3), and struggles with carbohydrate intake (OR = 2.1, 1.0–4.3) were associated with weight gain. Cooking more at home/eating less take out was associated with increased likelihood of weight loss (OR = 2.1, 1.1–3.9) and lower odds for weight gain (OR = 0.2, 0.1 to 0.97). Working from home was not associated with weight loss or weight gain ( P > 0.6 ). Conclusion. The COVID-19 pandemic is associated with certain factors that may facilitate weight loss and other factors that promote weight gain. Thus, depending on the patient experience during the pandemic, prevention of weight gain may be more appropriate than weight loss.

scholarly journals Body weight and return to work among survivors of early-stage breast cancer

ESMO Open ◽  
2020 ◽  
Vol 5 (6) ◽  
pp. e000908
Author(s):  
Antonio Di Meglio ◽  
Gwenn Menvielle ◽  
Agnes Dumas ◽  
Arnauld Gbenou ◽  
Sandrine Pinto ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Weight Loss ◽  
Body Weight ◽  
Weight Gain ◽  
Return To Work ◽  
Normal Weight ◽  
Psychosocial Treatment ◽  
Obese Patients ◽  
Weight Changes ◽  
The Impact

BackgroundMany breast cancer (BC) survivors are employed at diagnosis and are expected to return to work after treatment. Among them, around 50% are overweight or obese. There are limited data about the impact of body weight on their ability to return to work.MethodsWe used data from CANcer TOxicity (NCT01993498), a prospective, multicentre cohort of women with stage I–III BC. Professionally active women who were ≥5 years younger than retirement age were identified. Multivariable logistic regression models examined associations of body mass index (BMI) at diagnosis and subsequent weight changes with non-return to work 2 years after diagnosis, adjusting for psychosocial, treatment and behavioural characteristics.ResultsAmong 1869 women, 689 were overweight or obese. Overall, 398 patients (21.3%) had not returned to work 2 years after diagnosis. Non-return to work was more likely for overweight or obese than underweight or normal weight patients (adjusted OR (aOR) 1.32; 95% CI, 1.01 to 1.75; p=0.045). Weight loss (≥5%) was observed in 15.7% overweight or obese and 8.7% underweight or normal weight patients and was associated with significant increases in physical activity only among overweight or obese patients (mean change, +4.7 metabolic-equivalent-of-task-hour/week; 95% CI +1.9 to +7.5). Overweight or obese patients who lost weight were more likely to return to work compared with those who did not lose weight (aOR of non-return-to-work, 0.48; 95% CI 0.24 to 0.97, p=0.0418), whereas weight loss was associated with increased odds of non-return to work among underweight or normal weight women (aOR 2.07; 95% CI 1.20 to 3.56, p=0.0086) (pinteractionBMI×weight changes=0.0002). The continuous trend of weight gain on non-return to work was significant for overweight or obese patients (aOR for one-percent-unit difference, 1.03; 95% CI 1.01 to 1.06, p=0.030).ConclusionsExcess weight may be a barrier to return to work. Among overweight or obese BC survivors, weight loss was associated with higher rates of return to work, whereas further weight gain was associated with lower likelihood of return to work. Employment outcomes should be evaluated in randomised studies of weight management.

P6333Therapy-induced weight gain is associated with higher appendicular muscle mass in patients with heart failure

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
A Stefaniak ◽  
W Ostrega ◽  
M Buczkowska ◽  
A Mroczek ◽  
E Zbrojkiewicz ◽  
...  
Keyword(s):  
Heart Failure ◽  
Weight Loss ◽  
Body Weight ◽  
Weight Gain ◽  
Muscle Mass ◽  
Weight Changes ◽  
Free Weight ◽  
Patients With Heart Failure ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

Abstract Background The catabolic predominance in acute heart failure (HF) leads to significant weight loss. The low body weight before HF (preHF) and the loss during its natural course, both are risk factors of sarcopenia and worse clinical outcome in HF. Modern therapy can inhibit or even reverse catabolism resulting in oedema-free weight gain. It is unknown if therapy-induced weight gain can protect against low appendicular skeletal muscle mass (ASM) – the key prerequisite of sarcopenia. Aims We intended to assess whether therapy-induced oedema-free weight gain protects against low ASM. Material and methods In 802 patients with HF (age: 52±10 years 13% women, LVEF: 24±7%, NYHA: 2.6±0.7), we analysed weight changes from preHF to minimal oedema-free weight during HF (minHF), and then weight occurring after removal of all reversible factors aggravating HF with optimisation of therapy (indexHF). At index date we performed dual X-ray densitometry (DXA) calculating ASM as the sum of lean mass within the legs and arms adjusted to body size. The low ASM was defined as ≤7 and 6 kg/m2 in men and women respectively. The catabolic (C) and anabolic (A) components of weight change ware calculated based of formulas: C=100*(minHF-preHF)/preHF, A=100*(indexHF-minHF)/minHF. Using logistic regression we estimated the risk of low ASM after adjustment for potential confounders. Results The median C and A were −11.7% and 3.3% respectively. The low ASM was found in 230 (28.7%) patients. In multivariable model comprising age, gender, weight preHF, C and A, the odds for low as compared to normal ASM are shown in table 1. Odds ratio ± 95% CI Normal ASM Low ASM Gender (man v. women) 1.0 0.87 (0.81–0.94), p=0.0002 Weight preHF (per 1 kg/m2 increase) 1.0 0.85 (0.83–0.87), p<0.0001 Age (per 5 years increase) 1.0 1.05 (1.02–1.08), p=0.0003 C (per 1% increment) 1.0 1.05 (1.04–1.06), p<0.0001 A (per 1% increment) 1.0 0.98 (0.97–0.99), p<0.0001 Conclusions In HF higher body weight preHF and oedema-free weight gain decreases the risk of low ASM independently of age, gender and weight loss.

Postnatal Weight Changes in Low Birth Weight Infants

PEDIATRICS ◽  
1987 ◽  
Vol 79 (5) ◽  
pp. 702-705
Author(s):  
Stanley G. Shaffer ◽  
Cheryl L. Quimiro ◽  
John V. Anderson ◽  
Robert T. Hall
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Weight Gain ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Considerable Variability ◽  
Weight Changes ◽  
Low Birth Weight Infants ◽  
Body Weight Changes ◽  
Weight Groups

Postnatal body weight changes were assessed in 385 surviving infants with birth weights of less than 2,500 g. Body weight was measured daily between birth and 45 days of age. Infants were grouped according to 100-g birth weight categories, and mean body weight changes for each group were compared. Initial postnatal weight loss occurred in each group and ranged between 7.9% and 14.6% of birth weight. Mean postnatal weight loss was greater in the lowest birth weight groups, but considerable variability was observed among individual infants. Duration of postnatal weight loss was similar among all birth weight groups. Weight gain usually began between four and six days of age, and the rate of weight gain expressed as grams per kilogram per day was similar in all birth weight groups.

scholarly journals Weight Cycling in Women: Adaptation or Risk?

2020 ◽  
Author(s):  
Katelyn J. Carey ◽  
Wendy Vitek
Keyword(s):  
Weight Loss ◽  
Body Composition ◽  
Weight Gain ◽  
Pregnancy Complications ◽  
Weight Regain ◽  
Reproductive Age ◽  
Cardiometabolic Health ◽  
Surrogate Markers ◽  
Weight Cycling ◽  
Gut Peptides

AbstractObesity, dieting, and weight cycling are common among reproductive-age women. Weight cycling refers to intentional weight loss followed by unintentional weight regain. Weight loss is accompanied by changes in gut peptides, adipose hormones, and energy expenditure that promote weight regain to a tightly regulated set point. While weight loss can improve body composition and surrogate markers of cardiometabolic health, it is hypothesized that the weight regain can result in an overshoot effect, resulting in excess weight gain, altered body composition, and negative effects on surrogate markers of cardiometabolic health. Numerous observational studies have examined the association of weight cycling and health outcomes. There appears to be modest association between weight cycling with type 2 diabetes mellitus and dyslipidemia in women, but no association with hypertension, cardiovascular events, and overall cancer risk. Interestingly, mild weight cycling may be associated with a decreased risk of overall and cardiovascular mortality. Little is known about the effects of weight cycling in the preconception period. Although obesity and weight gain are associated with pregnancy complications, preconception weight loss does not appear to mitigate the risk of most pregnancy complications related to obesity. Research on preconception weight cycling may provide insight into this paradox.

Insulin and central regulation of spontaneous fattening and weight loss

1985 ◽  
Vol 249 (2) ◽  
pp. R203-R208
Author(s):  
R. B. Melnyk ◽  
J. M. Martin
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Weight Gain ◽  
Energy Balance ◽  
Binding Capacity ◽  
Insulin Receptors ◽  
Insulin Binding ◽  
Strong Positive Correlation ◽  
Central Regulation ◽  
Isolated Pancreatic Islets

Insulin binding to receptors in a partially purified hypothalamic membrane preparation is altered by prolonged starvation. To define further the relationship between hypothalamic insulin binding and energy balance, we studied the Richardson's ground squirrel, a hibernator that exhibits spontaneous 6- to 8-mo body weight cycles when kept in constant conditions. Isolated pancreatic islets from squirrels killed during the weight gain phase had greater glucose-stimulated insulin secretion than those from weight loss phase animals, and adipocytes showed significantly greater glucose incorporation into total lipid in response to insulin. Differences in lipogenesis were not attributable to changes in insulin-binding capacity. Hypothalamic tissue from weight gain phase animals bound more insulin than that from weight loss phase animals. Maximal binding was correlated with pancreatic islet responsiveness and maximal insulin-stimulated lipogenesis. The strong positive correlation between peripheral metabolic events associated with spontaneous alterations in energy balance and the binding kinetics of hypothalamic insulin receptors suggests that insulin may play an important role in the central regulation of body weight.

scholarly journals Effect of Mixed Nuts on Body Weight and Composition, and Gut Microbiome (P08-054-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Shih Lung Woo ◽  
Dina Ben-Nissan ◽  
Zahra Ezzat-Zadeh ◽  
Jieping Yang ◽  
Lijun Zhang ◽  
...  
Keyword(s):  
Weight Loss ◽  
Body Composition ◽  
Body Weight ◽  
Gut Microbiome ◽  
Plasma Lipids ◽  
Plasma Lipid ◽  
Healthy Weight ◽  
Weight Changes ◽  
Fecal Microbiome ◽  
Tree Nuts

Abstract Objectives This study was designed to assess the effects of mixed nut consumption on body weight and composition, and gut microbiome in obese individuals. Primary outcome was change in body weight and composition. Secondary outcomes include gut microbiome composition, inflammatory markers, and plasma lipids. Methods The reported results are from an interim analysis (n = 50) of a randomized, placebo controlled, parallel study. Total enrollment target is 154 overweight/obese subjects (BMI 27–35 kg/m2). Participants were randomly assigned to consume either 1.5oz mixed tree nuts or pretzels with equal calorie content daily for 24 weeks. The study included a 12-week weight loss phase (500 kcal per day less than total daily energy expenditure), followed by a 12-week weight maintenance phase. Body composition, fasting blood, and stool samples were collected at baseline, week 12 and 24. Body composition, and vitals were analyzed, whereas plasma lipid profile, fecal microbiome, and microbiome metabolites analysis is still pending. Results At week 12, subjects from both the pretzel (n = 15, 10 dropouts; P = 0.009) and nut group (n = 22, 3 dropouts; P = 0.038) lost significant amount of weight. The trend of weight changes did not differ between groups (P = 0.530). Subjects from both groups were able to sustain weight loss through 24 weeks (pretzel: 81.43 ± 3.85 kg at baseline vs. 79.43 ± 4.08 kg at week 24, P = 0.028; nut: 84.26 ± 3.78 kg at baseline vs. 82.38 ± 3.72 kg at week 24, P = 0.026). At week 12, fat mass in both groups was significantly decreased (pretzel: P = 0.002; nut: P = 0.012). The trend of fat changes did not differ between groups (P = 0.547). Subjects from both groups were able to sustain fat loss through 24 weeks (pretzel: 30.84 ± 1.75 kg at baseline vs. 29.25 ± 2.12 kg at week 24, P = 0.024; nut: 31.51 ± 1.56 kg vs 30.21 ± 1.81 kg at week 24, P = 0.04). Muscle mass, and blood pressure were not significantly different between both groups. Conclusions Our data suggested that tree nuts could be consumed as part of a healthy weight loss meal plan without concern of causing weight gain. Further analysis of the remaining samples is needed to confirm results. Due to higher dropouts in the pretzel group, future intention-to-treat analysis is also needed to eliminate bias. Funding Sources This study is supported by the International Tree Nut Council.

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