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3Background & aim The aim of this study was to describe a decrease in resting energy expenditure during weight loss that is larger than expected based on changes in body composition, called adaptive thermogenesis (AT), in overweight and obese older adults. Methods Multiple studies were combined to assess AT in younger and older subjects. Body composition and resting energy expenditure (REE) were measured before and after weight loss. Baseline values were used to predict fat free mass and fat mass adjusted REE after weight loss. AT was defined as the difference between predicted and measured REE after weight loss. The median age of 55 y was used as a cutoff to compare older with younger subjects. The relation between AT and age was investigated using linear regression analysis. Results In this study 254 (M = 88, F = 166) overweight and obese subjects were included (BMI: 31.7 ± 4.4 kg/m2, age: 51 ± 14 y). The AT was only significant for older subjects (64 ± 185 kcal/d, 95% CI [32, 96]), but not for younger subjects (19 ± 152 kcal/d, 95% CI [−9, 46]). The size of the AT was significantly higher for older compared to younger adults (β = 47, p = 0.048), independent of gender and type and duration of the weight loss program. Conclusions We conclude that adaptive thermogenesis is present only in older subjects, which might have implications for weight management in older adults. A reduced energy intake is advised to counteract the adaptive thermogenesis.
ARTIKEL
Background: In the Netherlands, primary care dietitians are the preferred health care professionals for weight management in patients living with overweight and obesity. A clinically relevant weight loss of ≥5% is associated with positive health outcomes. However, a significant proportion of patients fail to achieve ≥5% weight loss.
Objective: This study aimed to identify components in dietetic treatment that are associated with clinically relevant weight loss (≥5%) in patients with overweight and obesity in Dutch primary care.
Methods: In this retrospective study we analyzed data from patients with overweight and obesity in two databases: Health Risk Control (HRC) and ‘Diëtetiek Effectief En Toekomstbestendig’ (DIEET), covering treatment data from 2016 to 2020. We used multilevel logistic regression to assess associations between patient and treatment characteristics, and ≥5% weight loss upon conclusion of treatment.
Results: Data from 561 patients with overweight and obesity were analyzed. In the DIEET database (n= 383), ≥5 consultations (Odds Ratio (OR) 1.82, 95% Confidence Interval (CI): 1.17-12.80) and >3 hours of consultation (OR 1.57, 95% CI: 1.01-2.42)) were positively associated with ≥5% weight loss after 9 months. Patients on diabetes medication had lower odds of reaching effective/clinically relevant weight loss (OR 0.59, 95% CI: 0.37-0.95) compared to those not on diabetes medication. In the HRC database (n = 178), patients with a primary treatment aim to lose weight had higher odds of effective weight loss (OR 4.36; 95% CI: 1.95-9.74) than those focusing on cardiovascular or diabetes management.
Conclusion: These findings underline the importance of frequent and prolonged dietetic consultations in achieving effective weight loss in primary care settings. Special attention should be given to patients using diabetes medication, as they may require tailored approaches to overcome potential barriers to weight loss.
CONGRESABSTRACT
OBJECTIVE: To study the effects of a comprehensive secondary prevention programme on weight loss and to identify determinants of weight change in patients with coronary artery disease (CAD).
METHODS: We performed a secondary analysis focusing on the subgroup of overweight CAD patients (BMI ≥27 kg/m2) in the Randomised Evaluation of Secondary Prevention by Outpatient Nurse SpEcialists-2 (RESPONSE-2) multicentre randomised trial. We evaluated weight change from baseline to 12-month follow-up; multivariable logistic regression with backward elimination was used to identify determinants of weight change.
RESULTS: Intervention patients (n=280) lost significantly more weight than control patients (n=257) (-2.4±7.1 kg vs -0.2±4.6 kg; p<0.001). Individual weight change varied widely, with weight gain (≥1.0 kg) occurring in 36% of interventions versus 41% controls (p=0.21). In the intervention group, weight loss of ≥5% was associated with higher age (OR 2.94), lower educational level (OR 1.91), non-smoking status (OR 2.92), motivation to start with weight loss directly after the baseline visit (OR 2.31) and weight loss programme participation (OR 3.33), whereas weight gain (≥1 kg) was associated with smoking cessation ≤6 months before or during hospitalisation (OR 3.21), non-Caucasian ethnicity (OR 2.77), smoking at baseline (OR 2.70), lower age (<65 years) (OR 1.47) and weight loss programme participation (OR 0.59).
CONCLUSION: The comprehensive secondary prevention programme was, on average, effective in achieving weight loss. However, wide variation was observed. As weight gain was observed in over one in three participants in both groups, prevention of weight gain may be as important as attempts to lose weight.
TRIAL REGISTRATION NUMBER: NTR3937.
ARTIKEL
At the beginning of the twenty first century obesity entered Dutch maternity care as a ‘new illness’ challenging maternity care professionals in providing optimal care for women with higher BMI’s. International research revealed that obese women had more perinatal problems than normal weight women. However, the effect of higher BMIs on perinatal outcomes had never been studied in women eligible for midwife-led primary care at the outset of their pregnancy. In the context of the Dutch maternity care system, it was not clear if obesity should be treated as a high-risk situation always requiring obstetrician-led care or as a condition that may lead to problems that could be detected in a timely manner in midwife-led care using the usual risk assessment tools. With the increased attention on obesity in maternity care there was also increased interest in GWG. Regarding GWG in the Netherlands, the effect of insufficient or excessive GWG on perinatal outcomes had never been studied and there were no validated guidelines for GWG. A midwife’s care for the individual woman in the context of the Dutch maternity care system - characterised by ‘midwife-led care if possible, obstetrician-led care if needed’ - is hampered by the lack of national multidisciplinary consensus regarding obesity and weight gain. Obesity has not yet been included in the OIL and local protocols contain varying recommendations. To enable sound clinical decisions and to offer optimal individual care for pregnant women in the Netherlands more insights in weight and weight gain in relation to perinatal outcomes are required. With this thesis the author intends to contribute to the body of knowledge on weight and weight gain to enhance optimal midwife-led primary care for the individual woman and to guide midwives’ clinical decision-making.
NIET BEKEND
OBJECTIVES: Patients with head and neck cancer (HNC) frequently encounter weight loss with multiple negative outcomes as a consequence. Adequate treatment is best achieved by early identification of patients at risk for critical weight loss. The objective of this study was to detect predictive factors for critical weight loss in patients with HNC receiving (chemo)radiotherapy ((C)RT).
MATERIALS AND METHODS: In this cohort study, 910 patients with HNC were included receiving RT (±surgery/concurrent chemotherapy) with curative intent. Body weight was measured at the start and end of (C)RT. Logistic regression and classification and regression tree (CART) analyses were used to analyse predictive factors for critical weight loss (defined as >5%) during (C)RT. Possible predictors included gender, age, WHO performance status, tumour location, TNM classification, treatment modality, RT technique (three-dimensional conformal RT (3D-RT) vs intensity-modulated RT (IMRT)), total dose on the primary tumour and RT on the elective or macroscopic lymph nodes.
RESULTS: At the end of (C)RT, mean weight loss was 5.1±4.9%. Fifty percent of patients had critical weight loss during (C)RT. The main predictors for critical weight loss during (C)RT by both logistic and CART analyses were RT on the lymph nodes, higher RT dose on the primary tumour, receiving 3D-RT instead of IMRT, and younger age.
CONCLUSION: Critical weight loss during (C)RT was prevalent in half of HNC patients. To predict critical weight loss, a practical prediction tree for adequate nutritional advice was developed, including the risk factors RT to the neck, higher RT dose, 3D-RT, and younger age.
ARTIKEL
Healthy gestational weight gain (GWG) is associated with better pregnancy outcomes and with improved health in the later lives of women and babies. In this thesis the author describes the process of developing an intervention to help pregnant women reach a healthy GWG. The need for this intervention was derived from discussions with midwives, working in primary care in the Netherlands. In this introduction, the author describes the background of the larger project “Promoting Health Pregnancy”, of which this study is a part (1.2), the problem of unhealthy GWG (1.3-1.6) and offers a brief introduction to the theoretical framework of the study and to the subsequent chapters (1.7-1.9).
NIET BEKEND
RATIONALE: Currently there is no consensus on protein requirements for obese older adults during weight loss. Here we explore the potential use of a new method for assessment of protein requirements based on changes in appendicular muscle mass during weight loss.
METHODS: 60 obese older adults were subjected to 13 wk weight loss program, including hypocaloric diet and resistance training. Assessment of appendicular muscle mass was performed by DXA at baseline and after 13 wk challenge period, and the difference calculated as muscle mass change. Protein intake (g/kg body weight and g/kg fat free mass (FFM)) at 13wks was used as marker of protein intake during 13 wk period. 30 subjects received 10 times weekly 20 g protein supplement throughout the 13 week hypocaloric phase which is included in the calculation of total protein intake. Receiver operating characteristic (ROC) curve analysis was used to explore the optimal cutoff point for protein intake (g/kg) versus increase in appendicular muscle mass of more than 250 g over 13 wks (y/n). Subsequently, logistic regression analysis was performed for protein intake cutoff and muscle mass accretion, adjusted for sex, age, baseline BMI, and training compliance.
RESULTS: ROC curve analysis provided a protein intake level per day of 1.2 g/kg bw and 1.9 g/kg FFM as cutoff point. Presence of muscle mass accretion during 13 wk challenge period was significantly higher with protein intake higher than 1.2 g/kg bw (OR 5.4, 95%CI 1.4-20.6, p = 0.013) or higher than 1.9 g/kg FFM (OR 8.1, 95%CI 2.1-31.9, p = 0.003). Subjects with a protein intake higher than 1.2 g/kg had significantly more often muscle mass accretion, compared to subjects with less protein intake (10/14 (72%) vs 15/46 (33%), p = 0.010). For 1.9 g/kg FFM this was 70% vs 28% (p = 0.002).
CONCLUSION: This exploratory study provided a level of at least 1.2 g/kg body weight or 1.9 g/kg fat free mass as optimal daily protein intake for obese older adults under these challenged conditions of weight loss, based on muscle mass accretion during the challenge.
TRIAL REGISTRATION: Dutch Trial Register under number NTR2751.
ARTIKEL
Objectives
Body weight and muscle mass loss following an acute hospitalization in older patients may be influenced by malnutrition and sarcopenia among other factors. This study aimed to assess the changes in body weight and composition from admission to discharge and the geriatric variables associated with the changes in geriatric rehabilitation inpatients.
Design
RESORT is an observational, longitudinal cohort.
Setting and Participants
Geriatric rehabilitation inpatients admitted to geriatric rehabilitation wards at the Royal Melbourne Hospital, Melbourne, Australia (N = 1006).
Methods
Changes in body weight and body composition [fat mass (FM), appendicular lean mass (ALM)] from admission to discharge were analyzed using linear mixed models. Body mass index (BMI) categories, (risk of) malnutrition (Global Leadership Initiative on Malnutrition), sarcopenia (European Working Group on Sarcopenia in Older People), dependence in activities of daily living (ADL), multimorbidity, and cognitive impairment were tested as geriatric variables by which the changes in body weight and composition may differ.
Results
A total of 1006 patients [median age: 83.2 (77.7–88.8) years, 58.5% female] were included. Body weight, FM (kg), and FM% decreased (0.30 kg, 0.43 kg, and 0.46%, respectively) and ALM (kg) and ALM% increased (0.17 kg and 0.33%, respectively) during geriatric rehabilitation. Body weight increased in patients with underweight; decreased in patients with normal/overweight, obesity, ADL dependence and in those without malnutrition and sarcopenia. ALM% and FM% decreased in patients with normal/overweight. ALM increased in patients without multimorbidity and in those with malnutrition and sarcopenia; ALM% increased in patients without multimorbidity and with sarcopenia.
Conclusions and Implications
In geriatric rehabilitation, body weight increased in patients with underweight but decreased in patients with normal/overweight and obesity. ALM increased in patients with malnutrition and sarcopenia but not in patients without. This suggests the need for improved standard of care independent of patients’ nutritional risk.
ARTIKEL
Aims: This systematic review and meta-analysis evaluates the additional effect of exercise to hypocaloric diet on body weight, body composition, glycaemic control and cardio-respiratory fitness in adults with overweight or obesity and type 2 diabetes.
Methods: Embase, Medline, Web of Science and Cochrane Central databases were evaluated, and 11 studies were included. Random-effects meta-analysis was performed on body weight and measures of body composition and glycaemic control, to compare the effect of hypocaloric diet plus exercise with hypocaloric diet alone.
Results: Exercise interventions consisted of walking or jogging, cycle ergometer training, football training or resistance training and duration varied from 2 to 52 weeks. Body weight and measures of body composition and glycaemic control decreased during both the combined intervention and hypocaloric diet alone. Mean difference in change of body weight (−0.77 kg [95% CI: −2.03; 0.50]), BMI (−0.34 kg/m2 [95% CI: −0.73; 0.05]), waist circumference (−1.42 cm [95% CI: −3.84; 1.00]), fat-free mass (−0.18 kg [95% CI: −0.52; 0.17]), fat mass (−1.61 kg [95% CI: −4.42; 1.19]), fasting glucose (+0.14 mmol/L [95% CI: −0.02; 0.30]), HbA1c (−1 mmol/mol [95% CI: −3; 1], −0.1% [95% CI: −0.2; 0.1]) and HOMA-IR (+0.01 [95% CI: −0.40; 0.42]) was not statistically different between the combined intervention and hypocaloric diet alone. Two studies reported VO2max and showed significant increases upon the addition of exercise to hypocaloric diet.
Conclusions: Based on limited data, we did not find additional effects of exercise to hypocaloric diet in adults with overweight or obesity and type 2 diabetes on body weight, body composition or glycaemic control, while cardio-respiratory fitness improved.
OVERZICHTSARTIKEL
Objectives The Weight Stigma Exposure Inventory (WeSEI) is a newly developed tool that assesses observed weight stigma across different sources (i.e., interpersonal and non-interpersonal sources). Although the WeSEI is considered a useful instrument for assessing observed weight stigma, it has not been translated into Bahasa Indonesian. Therefore, the present study translated the WeSEI into Bahasa Indonesian and evaluated its psychometric properties. Methods A total of 1303 Indonesian university students were recruited via online survey between February and October 2024. They provided demographic information, and completed the WeSEI and the Weight Self-Stigma Questionnaire (WSSQ). Moreover, the factor structures, internal consistency, concurrent validity with external measures (i.e., WSSQ and body mass index, or BMI), and measurement invariance across sex (male vs. female) and weight status (non-overweight vs. overweight) of the translated WeSEI were evaluated. Results Confirmatory factor analysis showed that the WeSEI had a seven-factor structure (comparative fit index [CFI] = 0.984, Tucker-Lewis index [TLI] = 0.982, root mean square error of approximation [RMSEA] = 0.050, standardized root mean square residual [SRMR] = 0.058). The WeSEI showed very good internal consistency (ω = 0.86–0.93) among Indonesian young adults, and it had positive correlations with scores on the WSSQ and BMI. In addition, the seven-factor structure of WeSEI was invariant across sex and weight status. Conclusion The Bahasa WeSEI demonstrated good validity and reliability and provided further evidence for assessing different sources of weight stigma exposure in an Indonesian context. Therefore, the WeSEI can be considered a robust tool for assessing observed weight stigma among Indonesian populations.
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