Weight gain causes weight loss

Nature ◽  
2001 ◽  
Author(s):  
John Whitfield
Keyword(s):  
Nutrients ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 1359
Author(s):  
Noga C Minsky ◽  
Dafna Pachter ◽  
Galia Zacay ◽  
Naama Chishlevitz ◽  
Miriam Ben-Hamo ◽  
...  

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.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eva Graham ◽  
Tristan Watson ◽  
Sonya S. Deschênes ◽  
Kristian B. Filion ◽  
Mélanie Henderson ◽  
...  

AbstractThis cohort study aimed to compare the incidence of type 2 diabetes in adults with depression-related weight gain, depression-related weight loss, depression with no weight change, and no depression. The study sample included 59,315 community-dwelling adults in Ontario, Canada. Depression-related weight change in the past 12 months was measured using the Composite International Diagnostic Interview—Short Form. Participants were followed for up to 20 years using administrative health data. Cox proportional hazards models compared the incidence of type 2 diabetes in adults with depression-related weight change and in adults with no depression. Adults with depression-related weight gain had an increased risk of type 2 diabetes compared to adults no depression (HR 1.70, 95% CI 1.32–2.20), adults with depression-related weight loss (HR 1.62, 95% CI 1.09–2.42), and adults with depression with no weight change (HR 1.39, 95% CI 1.03–1.86). Adults with depression with no weight change also had an increased risk of type 2 diabetes compared to those with no depression (HR 1.23, 95% CI 1.04–1.45). Associations were stronger among women and persisted after adjusting for attained overweight and obesity. Identifying symptoms of weight change in depression may aid in identifying adults at higher risk of type 2 diabetes and in developing tailored prevention strategies.


Author(s):  
Katelyn J. Carey ◽  
Wendy Vitek

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.


1985 ◽  
Vol 249 (2) ◽  
pp. R203-R208
Author(s):  
R. B. Melnyk ◽  
J. M. Martin

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.


2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Win Hlaing Than ◽  
Jack K C Ng ◽  
Gordon C K Chan ◽  
Winston Fung ◽  
Cheuk Chun Szeto

Abstract Background and Aims The prevalence of obesity has increased over the past decade in patients with End Stage Kidney Disease (ESKD). Obesity at the initiation of peritoneal dialysis (PD) was reported to adversely affect clinical outcomes. However, there are few studies on the prognostic relevance of weight gain after PD. Method We reviewed the change in body weight of 954 consecutive PD patients from the initiation of dialysis to 2 years after they remained on PD. Clinical outcomes including patient survival, technique survival, and peritonitis rate in the subsequent two years were reviewed. Results The mean age was 60.3 ± 12.2 years; 535 patients (56.1%) were men and 504 (52.8%) had diabetes. After the first 2 years on PD, the average change in body weight was 1.2± 5.1 kg; their body weight was 63.0 ± 13.3 kg; body mass index (BMI) 24.4 ± 4.4 kg/m2. The patient survival rates in the subsequent two years were 64.9%, 75.0%, and 78.9% (log rank test, p = 0.008) for patients with weight loss ≥3 kg during the first 2 years of PD weight change between -3 and +3 kg, and weight gain ≥3 kg, respectively. The corresponding technique survival rates in the subsequent two years were 93.1%, 90.1%, 91.3%, respectively (p = 0.110), and the peritonitis rates were 0.7±1.5, 0.6±1.7, and 0.6±1.1 episodes per patient-year, respectively (p = 0.3). When the actual BMI after the first 2 years of PD was categorized into underweight, normal weight, marginal overweight, overweight, and obesity groups, the patient survival rates in the subsequent two years were 77.3%, 75.2%, 73.3%, 74.3%, and 75.9%, respectively (p= 0.005), and technique survival 98.0%, 91.9%, 88.0%, 92.8%, and 81.0%, respectively (p= 0.001). After adjusting for confounding clinical factors by multivariate Cox regression models, weight gain ≥ 3kg during the first 2 years of PD was an independent protective factor for technique failure (adjusted hazard ratio [AHR] 0.049; 95% confidence interval [CI] 0.004-0.554, p = 0.015), but was an adverse predictor of patient survival (AHR 2.338, 95%CI 1.149-4.757, p = 0.019). In contrast, weight loss ≥ 3kg during the first 2 years of PD did not predict subsequent patient or technique survival. Conclusion Weight gain during the first 2 years of PD confers a significant risk of subsequent mortality but appears to be associated with a lower risk of technique failure. The mechanism of this discordant risk prediction deserves further study.


1991 ◽  
Vol 69 (3) ◽  
pp. 744-747 ◽  
Author(s):  
Lyle A. Renecker ◽  
W. M. Samuel

Growth rate and potential, 25 hand-reared mule deer (Odocoileus hemionus hemionus) were examined. When possible, body weights of all animals were recorded weekly. Female deer matured faster than males, but males attained a larger body size. Regressions of winter weight loss of both sexes on peak autumn weight were highly correlated. Similarly, spring and summer compensatory gain in females could be predicted from the minimum spring weight. Annual cycles of intake and weight gain may have adaptations that improve reproductive success and winter survival.


2000 ◽  
Vol 90 (2) ◽  
pp. 453-456 ◽  
Author(s):  
Thomas F. Cash ◽  
Melissa A. Brown

Antidepressant drugs are frequently prescribed for women and have various side effects, including potential effects on body weight. This experiment examined the effects of information about the weight-related side effects of antidepressants on women's attitudes toward the drugs. 60 college women were randomly assigned to read about one of two drugs, fluoxetine (Prozac) or Imipramine (Tofranil). Participants were either told or not told about veridical weight-related side effects, namely, weight loss for Prozac and weight gain for Tofranil. As hypothesized, weight-gain information lowered the personal acceptability of Tofranil, and weight-loss information enhanced the acceptability of Prozac. Although research with clinical populations is required, undergraduate women's decisions about the use of antidepressant medications may be influenced by societal body-image ideals.


2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S68-S68
Author(s):  
Sri Mahavir Agarwal ◽  
Nicolette Stogios ◽  
Zohra Ahsan ◽  
Jonathan Lockwood ◽  
Markus Duncan ◽  
...  

Abstract Background Weight gain and obesity are common problems encountered by patients with schizophrenia. This is partially attributable to use of second-generation antipsychotics that are associated with weight gain and other metabolic disturbances. The significance of this prevalence and its impact on premature mortality and morbidity requires better consensus on its management. The objective of this review is to determine the effects of adjunctive pharmacological interventions aimed at reducing weight gain in schizophrenia. Methods We searched the Cochrane Schizophrenia Group’s Trials Register which is based on regular searches of CINAHL, BIOSIS, AMED, EMBASE, PubMed, MEDLINE, PsycINFO, and registries of clinical trials. Inclusion criteria consisted of all randomized controlled trials examining any adjunctive pharmacological intervention for weight loss in patients with schizophrenia or schizophrenia-like illnesses. The primary outcome of each study had to be body weight or a weight related measure. We reliably selected, quality assessed, and extracted data from studies. As endpoint and change data was combined in the analysis, mean differences (MD) of the change from baseline were calculated using Review Manager 5.3. Results Sixty-one randomized controlled trials met inclusion criteria for this review (pooled n = 3328). Metformin is effective in bringing about modest weight loss (Weight: MD -3.40 kg, 95% CI -4.63 to -2.16; participants = 731; studies = 12; BMI: MD -1.39, 95% CI -1.94 to -0.85; participants = 879; studies = 13). Heterogeneity was reduced by dividing populations into first episode psychosis (FEP) and chronic populations, where FEP patients appeared to benefit most from early metformin intervention (Weight: MD -5.18 kg, 95% CI -6.22 to -4.14; BMI: MD -1.87 kg/m2, 95% CI -2.19 to -1.56; participants = 214; studies = 3) as compared to chronic patients (Weight: MD -2.22 kg, 95% CI -3.07 to -1.37; participants = 517; studies = 9; BMI: MD -1.18 kg/m2, 95% CI -1.89 to -0.48; participants = 665; studies = 10). However, ethnicity could be a confounder for the apparent effect of illness stage, as all first episode metformin intervention studies were conducted in patients with Chinese ethnicity. Metformin as a treatment for weight gain may be associated with additional adaptive changes in fasting insulin levels and insulin resistance. The frequency of adverse effects did not differ between metformin and placebo groups. Moreover, glucagon-like peptide agonists (GLP-1RAs), such as liraglutide and exenatide, were also effective in reducing weight (Weight: MD -3.95 kg, 95% CI -7.08 to -0.83; participants = 165; studies = 3; BMI -1.26 kg/m2, 95% CI -2.21 to -0.30; participants = 165; studies = 3; waist circumference: MD -3.25, 95% CI -5.93 to -0.57; participants = 165, studies = 3). The frequency of adverse effects did not differ between GLP-1RA and placebo groups. Topiramate 200 mg was also effective for weight reduction (Weight: MD=-6.61 kg, 95% CI -9.62 to -3.61; BMI: MD=-2.72, 95% CI -3.25 to -2.20; participants = 181, studies = 3). Discussion This review highlights the promise of pharmacological interventions for decreasing weight gain associated with antipsychotic use. Of the drugs studied, metformin has the most evidence and was most effective in bringing about modest weight loss. Topiramate and GLP-1RA also have accumulating evidence supporting efficacy in reducing weight. Interpretation for other agents is limited by the small number of studies, sample size, and short study duration. Future studies that are adequately powered, with longer treatment duration, will be needed in evaluating the efficacy and safety of interventions for managing weight gain further.


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