Julianne G. Clina, R. D. Sayer, A. Gorczyca, S. Das, James E. Friedman, T. Chui, Susan B. Roberts, James O. Hill
People with physical disabilities (PWD) have an increased risk of obesity and related comorbidities compared with people without physical disabilities (PWoD). Previously identified contributors to weight loss maintenance pose challenges to PWD. However, it is not known if PWD experience less success in weight management.Six hundred and nine participants in the International Weight Control Registry (IWCR) were eligible for this analysis (PWD, n = 174; PWoD, n = 435). Self‐reported weight history metrics were compared using general linear models. Perceived weight history category was compared using Chi‐squared tests. Importance of diet and physical activity strategies for weight management were compared using Wilcoxon rank‐signed tests.PWD reported higher current body mass index (BMI) (36.1 ± 0.7 vs. 31.0 ± 0.5; p < 0.0001) and more weight loss attempts (9.1 ± 0.7 vs. 7.1 ± 0.4; p = 0.01) than PWoD. Current weight loss percentage (PWD 13.0 ± 1.0; PWoD, 13.0 ± 0.6; p = 0.97) and weight loss category (χ2 [3, N = 609] = 2.9057, p = 0.41) did not differ between the groups. There were no differences in any weight strategy between PWD who were successful and those who regained.PWD and PWoD in the IWCR achieved similar levels of weight maintenance success. However, higher BMI and more weight loss attempts suggest that PWD may face challenges with weight management. More research is needed to identify strategies leading to success for PWD.
与非肢体残疾人（PWoD）相比，肢体残疾人（PWD）患肥胖症及相关并发症的风险更高。之前发现的影响减肥效果的因素给残疾人带来了挑战。国际体重控制注册中心（IWCR）的 69 名参与者符合本次分析的条件（残疾人，n = 174；非肢体残疾人，n = 435）。使用一般线性模型对自我报告的体重史指标进行比较。使用卡方检验比较感知体重史类别。与残疾人相比，残疾人报告的当前体重指数（BMI）（36.1 ± 0.7 vs. 31.0 ± 0.5; p < 0.0001）和减肥尝试次数（9.1 ± 0.7 vs. 7.1 ± 0.4; p = 0.01）更高。目前的减重百分比（PWD 13.0 ± 1.0；PWoD 13.0 ± 0.6；p = 0.97）和减重类别（χ2 [3, N = 609] = 2.9057, p = 0.41）在两组之间没有差异。成功减重的残疾人和体重反弹的残疾人在任何体重策略上都没有差异。然而，较高的体重指数和更多的减肥尝试表明，残疾人在体重管理方面可能面临挑战。需要开展更多研究，以确定帮助残疾人取得成功的策略。
{"title":"Weight history of individuals with and without physical disability in the International Weight Control Registry","authors":"Julianne G. Clina, R. D. Sayer, A. Gorczyca, S. Das, James E. Friedman, T. Chui, Susan B. Roberts, James O. Hill","doi":"10.1002/osp4.733","DOIUrl":"https://doi.org/10.1002/osp4.733","url":null,"abstract":"People with physical disabilities (PWD) have an increased risk of obesity and related comorbidities compared with people without physical disabilities (PWoD). Previously identified contributors to weight loss maintenance pose challenges to PWD. However, it is not known if PWD experience less success in weight management.Six hundred and nine participants in the International Weight Control Registry (IWCR) were eligible for this analysis (PWD, n = 174; PWoD, n = 435). Self‐reported weight history metrics were compared using general linear models. Perceived weight history category was compared using Chi‐squared tests. Importance of diet and physical activity strategies for weight management were compared using Wilcoxon rank‐signed tests.PWD reported higher current body mass index (BMI) (36.1 ± 0.7 vs. 31.0 ± 0.5; p < 0.0001) and more weight loss attempts (9.1 ± 0.7 vs. 7.1 ± 0.4; p = 0.01) than PWoD. Current weight loss percentage (PWD 13.0 ± 1.0; PWoD, 13.0 ± 0.6; p = 0.97) and weight loss category (χ2 [3, N = 609] = 2.9057, p = 0.41) did not differ between the groups. There were no differences in any weight strategy between PWD who were successful and those who regained.PWD and PWoD in the IWCR achieved similar levels of weight maintenance success. However, higher BMI and more weight loss attempts suggest that PWD may face challenges with weight management. More research is needed to identify strategies leading to success for PWD.","PeriodicalId":503109,"journal":{"name":"Obesity Science & Practice","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139143169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christopher D. Coleman, Jessica R. Kiel, Liana L. Guarneiri, Marjorie Bell, Meredith L. Wilcox, Kevin C. Maki, J. Unick, Satya S. Jonnalagadda
There is substantial inter‐individual variability in response to weight loss interventions and emerging evidence suggests that weight loss during the early weeks of an intervention may be predictive of longer‐term weight loss. This secondary analysis of data from a commercial program therefore examined 1) the associations between early weight loss (i.e., week 4) with final visit weight loss and duration on the program, and 2) other predictors of lower weight loss at final visit.Client charts of adults with overweight or obesity (N = 748) were analyzed. Clients were stratified into categories of weight loss at the week 4 (< and ≥2%, 3% and 4%) and final visits (< and ≥5% and 10%). Multivariate logistic regression was used to assess predictors of <5% and <10% final visit weight loss.The odds ratios for losing <5% or <10% of weight at the final visit were higher (49.0 (95% CI: 13.84, 173.63) and 20.1 (95% CI: 6.96, 58.06)) for clients who lost <2% or <3% compared to those who lost ≥2% or ≥3% at week 4. Other predictors of not losing a clinically relevant amount of weight included female sex, use of higher calorie meal plans and shorter time in the program, among others. Those who lost ≥2% at week 4 also had a significantly greater percent program completion (109.2 ± 75.2% vs. 82.3 ± 82.4, p < 0.01) compared with those who did not meet the 2% threshold.Lower 4‐week weight loss was identified as a strong predictor of not losing a clinically relevant amount of weight. These results may be useful for the early identification of individuals who can be targeted for additional counseling and support to aid in attaining weight loss goals.
{"title":"Importance of early weight loss and other predictors of lower weight loss in a commercial program: A secondary data analysis","authors":"Christopher D. Coleman, Jessica R. Kiel, Liana L. Guarneiri, Marjorie Bell, Meredith L. Wilcox, Kevin C. Maki, J. Unick, Satya S. Jonnalagadda","doi":"10.1002/osp4.724","DOIUrl":"https://doi.org/10.1002/osp4.724","url":null,"abstract":"There is substantial inter‐individual variability in response to weight loss interventions and emerging evidence suggests that weight loss during the early weeks of an intervention may be predictive of longer‐term weight loss. This secondary analysis of data from a commercial program therefore examined 1) the associations between early weight loss (i.e., week 4) with final visit weight loss and duration on the program, and 2) other predictors of lower weight loss at final visit.Client charts of adults with overweight or obesity (N = 748) were analyzed. Clients were stratified into categories of weight loss at the week 4 (< and ≥2%, 3% and 4%) and final visits (< and ≥5% and 10%). Multivariate logistic regression was used to assess predictors of <5% and <10% final visit weight loss.The odds ratios for losing <5% or <10% of weight at the final visit were higher (49.0 (95% CI: 13.84, 173.63) and 20.1 (95% CI: 6.96, 58.06)) for clients who lost <2% or <3% compared to those who lost ≥2% or ≥3% at week 4. Other predictors of not losing a clinically relevant amount of weight included female sex, use of higher calorie meal plans and shorter time in the program, among others. Those who lost ≥2% at week 4 also had a significantly greater percent program completion (109.2 ± 75.2% vs. 82.3 ± 82.4, p < 0.01) compared with those who did not meet the 2% threshold.Lower 4‐week weight loss was identified as a strong predictor of not losing a clinically relevant amount of weight. These results may be useful for the early identification of individuals who can be targeted for additional counseling and support to aid in attaining weight loss goals.","PeriodicalId":503109,"journal":{"name":"Obesity Science & Practice","volume":"234 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139205285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Excess body weight is a risk factor for the progression of chronic kidney disease (CKD), but weight loss in CKD has been associated with higher mortality. Consequently, blanket weight loss recommendations in this population are controversial. Little data is available on the patterns of weight‐change in CKD. The authors aimed to describe weight‐changes in moderate/severe CKD and explore associations with mortality and renal endpoints in patients with overweight and obesity.Non‐dialysis Canberra Hospital patients with estimated glomerular filtration (eGFR) < 60 mL/min/1.73 m2 and body mass index (BMI) ≥25 kg/m2 were followed for up to 5.5 years. Weight‐change ≥5% was considered clinically significant. The renal endpoint was defined as the commencement of dialysis or transplant or a ≥40% fall in eGFR. Relationships between weight‐change in the first year of follow‐up and mortality or the renal endpoint were assessed using Cox‐regression.Three hundred ten patients (median age 75, median BMI 31 kg/m2) were identified. 68% had Stage‐4 CKD at baseline. Over 4.4‐years median follow‐up, 128 died and 140 had significant weight‐change. During the first year of follow‐up, 42 patients lost and 23 gained ≥5% body weight, of whom only 3 had intentionally lost weight. On multivariate regression, significant weight loss/gain at 1‐year was associated with 2.74 (p < 0.0005) and 2.67 (p = 0.003) hazard of subsequent death and with 2.51 (p = 0.004) and 2.20 (p = 0.05) hazard of the renal endpoint respectively. There was no association between baseline eGFR and subsequent weight change.Patients with moderate/severe CKD experience significant weight‐change, but this has no relationship to baseline kidney function. Significant weight‐change is associated with higher subsequent mortality and loss of kidney function, but this association is likely significantly affected by confounding.
{"title":"Weight change in chronic kidney disease: Association with mortality and kidney function","authors":"Richard Singer, Hsin‐Chia Huang","doi":"10.1002/osp4.723","DOIUrl":"https://doi.org/10.1002/osp4.723","url":null,"abstract":"Excess body weight is a risk factor for the progression of chronic kidney disease (CKD), but weight loss in CKD has been associated with higher mortality. Consequently, blanket weight loss recommendations in this population are controversial. Little data is available on the patterns of weight‐change in CKD. The authors aimed to describe weight‐changes in moderate/severe CKD and explore associations with mortality and renal endpoints in patients with overweight and obesity.Non‐dialysis Canberra Hospital patients with estimated glomerular filtration (eGFR) < 60 mL/min/1.73 m2 and body mass index (BMI) ≥25 kg/m2 were followed for up to 5.5 years. Weight‐change ≥5% was considered clinically significant. The renal endpoint was defined as the commencement of dialysis or transplant or a ≥40% fall in eGFR. Relationships between weight‐change in the first year of follow‐up and mortality or the renal endpoint were assessed using Cox‐regression.Three hundred ten patients (median age 75, median BMI 31 kg/m2) were identified. 68% had Stage‐4 CKD at baseline. Over 4.4‐years median follow‐up, 128 died and 140 had significant weight‐change. During the first year of follow‐up, 42 patients lost and 23 gained ≥5% body weight, of whom only 3 had intentionally lost weight. On multivariate regression, significant weight loss/gain at 1‐year was associated with 2.74 (p < 0.0005) and 2.67 (p = 0.003) hazard of subsequent death and with 2.51 (p = 0.004) and 2.20 (p = 0.05) hazard of the renal endpoint respectively. There was no association between baseline eGFR and subsequent weight change.Patients with moderate/severe CKD experience significant weight‐change, but this has no relationship to baseline kidney function. Significant weight‐change is associated with higher subsequent mortality and loss of kidney function, but this association is likely significantly affected by confounding.","PeriodicalId":503109,"journal":{"name":"Obesity Science & Practice","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139248741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lizeth Cifuentes, Francesca Galbiati, Hussain Mahmud, David Rometo
Very low‐calorie diets (VLCDs) employing total meal replacement (TMR) offer substantial short‐term weight loss. Concurrently, anti‐obesity medications (AOMs) have shown promise as adjunctive treatments when combined with VLCDs.This study aimed to investigate the impact of adjuvant AOMs on weight loss and weight regain within a comprehensive lifestyle program.This is a retrospective study of patients with obesity enrolled in VLCD/TMR programs, specifically the OPTIFAST program.Data from 206 patients (68% women, mean age 52.39 ± 13.05 years, BMI 41.71 ± 7.04 kg/m2) were analyzed. Of these, 139 received no AOM (AOM‐), while 67 received AOMs (AOM+). Total body weight loss percentages (TWL%) at 6 and 18 months were −17.87% ± 7.02 and −12.10% ± 11.56, respectively. There was no significant difference in 6‐month weight loss between the AOM groups. However, the AOM + group exhibited lower weight regain (3.29 kg ± 10.19 vs. 7.61 kg ± 11.96; p = 0.006) and weight regain percentage (WR%) (31.5% ± 68.7 vs. 52.16% ± 64.4; p = 0.04) compared with the AOM‐ group.The findings highlighted the potential of AOMs and VLCD/TMR as effective strategies for long‐term weight management in individuals with obesity.
采用全餐替代（TMR）的超低卡路里饮食（VLCD）可在短期内大幅减轻体重。本研究旨在调查在一项综合生活方式计划中，辅助性抗肥胖药物（AOMs）对体重减轻和体重反弹的影响。本研究是一项回顾性研究，研究对象是参加 VLCD/TMR 计划（特别是 OPTIFAST 计划）的肥胖症患者。其中，139 人未接受 AOM（AOM-），67 人接受了 AOM（AOM+）。6个月和18个月的总体重减轻率（TWL%）分别为-17.87% ± 7.02和-12.10% ± 11.56。AOM组与AOM+组在6个月的体重减轻率上没有明显差异。然而，与AOM-组相比，AOM +组的体重反弹率（3.29 kg ± 10.19 vs. 7.61 kg ± 11.96; p = 0.006）和体重反弹百分比（WR%）（31.5% ± 68.7 vs. 52.16% ± 64.4; p = 0.04）较低。
{"title":"Weight regain after total meal replacement very low‐calorie diet program with and with‐out anti‐obesity medications","authors":"Lizeth Cifuentes, Francesca Galbiati, Hussain Mahmud, David Rometo","doi":"10.1002/osp4.722","DOIUrl":"https://doi.org/10.1002/osp4.722","url":null,"abstract":"Very low‐calorie diets (VLCDs) employing total meal replacement (TMR) offer substantial short‐term weight loss. Concurrently, anti‐obesity medications (AOMs) have shown promise as adjunctive treatments when combined with VLCDs.This study aimed to investigate the impact of adjuvant AOMs on weight loss and weight regain within a comprehensive lifestyle program.This is a retrospective study of patients with obesity enrolled in VLCD/TMR programs, specifically the OPTIFAST program.Data from 206 patients (68% women, mean age 52.39 ± 13.05 years, BMI 41.71 ± 7.04 kg/m2) were analyzed. Of these, 139 received no AOM (AOM‐), while 67 received AOMs (AOM+). Total body weight loss percentages (TWL%) at 6 and 18 months were −17.87% ± 7.02 and −12.10% ± 11.56, respectively. There was no significant difference in 6‐month weight loss between the AOM groups. However, the AOM + group exhibited lower weight regain (3.29 kg ± 10.19 vs. 7.61 kg ± 11.96; p = 0.006) and weight regain percentage (WR%) (31.5% ± 68.7 vs. 52.16% ± 64.4; p = 0.04) compared with the AOM‐ group.The findings highlighted the potential of AOMs and VLCD/TMR as effective strategies for long‐term weight management in individuals with obesity.","PeriodicalId":503109,"journal":{"name":"Obesity Science & Practice","volume":"54 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139257859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：