Rationale: Lean body mass, including muscle, is known to decrease with age, which may contribute to loss of physical function, an indicator of frailty. Moreover, low muscle thickness is considered an indicator of frailty in critically ill patients. However, little is known about the relationship between muscle thickness and frailty in community dwelling adults. Therefore, we studied the association between frailty and whole body lean body mass index (LBMi) and muscle thickness of the rectus femoris (RF) in community dwelling older adults. Methods: In older adults aged ≥55y, who participated in the Hanze Health and Ageing Study, frailty status was assessed with a multidimensional instrument, measuring frailty on a cognitive, psychosocial en physical level, i.e., the Groningen Frailty Indicator (GFI), using ≥4 as cut-off score for frailty. LBMi (kg/m2) was estimated with BIA (Quadscan 4000©, Bodystat), using the build-in equation. Muscle thickness (mm) of the RF was measured with ultrasound, using the Bodymetrix© (Intelametrix). Univariate and multivariate binary logistic regression analyses were performed for LBMi and for RF thickness. Multivariate analysis corrected for age, sex, body mass index (kg/m2), and handgrip strength (handgrip dynamometer; kg). A p-level of <0.05 was considered significant and Odds Ratios (OR; [95% CI]) were presented. Results: 93 participants (age 65.2±7.7 years; male 46 %; LBMi 17.2±2.6 kg/m2; RF 14.6±4.4 mm; median GFI =1 (interquartile range=0-3; frail: n=18) were included in the analysis. In both the univariate and multivariate analysis, LBMi (p=0.082, OR=0.82 [0.66-1.03]; p=0.077, OR=0.55 [0.28-1.07] respectively) and muscle thickness of RF (p=0.436, OR=0.95 [0.84-1.08]; p=0.796, OR= 1.02 [0.88-1.18] respectively) were not significantly associated with frailty. None of the co-variables were significantly associated with frailty either. Conclusion: In this sample of older adults aged ≥55 years, LBMi and RF thickness are not associated with frailty. However, frail participants scored at cut-off or just above, and measurements in a population with higher scores for frailty may provide further insight in the association between lean body mass and muscle thickness and frailty.
ObjectivesBody 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.DesignRESORT is an observational, longitudinal cohort.Setting and ParticipantsGeriatric rehabilitation inpatients admitted to geriatric rehabilitation wards at the Royal Melbourne Hospital, Melbourne, Australia (N = 1006).MethodsChanges 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.ResultsA 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 ImplicationsIn 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.
Background: Our aim was to identify dietary patterns by the level of maternal education that contribute to BMI, fat mass index (FMI), and fat-free mass index (FFMI) in children at age 5 and to assess if these dietary patterns are related to BMI at age 10. Methods: Per group (low/middle/high level), Reduced Rank Regression (RRR) was used to derive dietary patterns for the response variables BMI z-score, FMI, and FFMI in 1728 children at age 5 in the Amsterdam Born Children and their Development (ABCD) cohort. Regression analyses were then used to determine the association with BMI at age 10. Results: In each group, pattern 1 was characterized by its own cluster of food groups. Low: water/tea, savory snacks, sugar, low-fat meat, and fruits; middle: water/tea, low-fat cheese, fish, low-fat dairy, fruit drink, low-fat meat, and eggs; and high: low-fat cheese, fruits, whole-grain breakfast products, and low-fat and processed meat. Additionally, in each group, pattern 1 was positively associated with BMI z-scores at age 10 (low: β ≤ 0.43 [95% CI ≤ 0.21; 0.66], p < 0.001, middle: β ≤ 0.23 [0.09; 0.36], p ≤ 0.001, and high: β ≤ 0.24 [0.18; 0.30], p < 0.001). Conclusions: The dietary patterns stratified by the level of maternal education are characterized by different food groups. But in all the groups, pattern 1 is positively associated with BMI at age 10.
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Aanleiding De somatische zorg voor patiënten met een ernstige psychische aandoening (EPA) schiet in de Nederlandse gezondheidszorg op een aantal punten ernstig tekort. Dit leidt ertoe dat deze patiënten eerder ziek worden en een beduidend kortere levensverwachting hebben dan gemiddeld. In navolging van de groeiende aandacht binnen de gezondheidszorg voor dit thema, zijn er landelijk twee multidisciplinaire richtlijnen ontwikkeld. De eerste richtlijn is voor somatische screening bij patiënten met EPA en de tweede voor de toepassing van leefstijlinterventies ter bevordering van de gezondheid van deze patiënten. De interventies vinden o.a. plaats op voeding, bewegen, roken, alcoholgebruik, middelenmisbruik, slaap en seksueel risicovol gedrag. In dit RAAK-project worden de twee richtlijnen aan de praktijk getoetst. Doelstelling Het RAAK-project beoogt implementatie en evaluatie van de reeds ontwikkelde richtlijnen in twee GGZ-instellingen bij een groep van 750 patiënten. De (post-)hbo-opgeleide verpleegkundig specialisten vervullen een spilfunctie bij de uitvoering van de screening en de leefstijlinterventies en hebben een coördinerende functie naar andere betrokken disciplines (arts, psychiater, diëtist, fysiotherapeut, etc.). Bij gebleken gezondheidsproblemen wordt effectieve behandeling ingezet, gemonitord en geëvalueerd. Ter ondersteuning van de verpleegkundigen zijn de belangrijkste aanbevelingen uit de richtlijnen vertaald in twee methodieken: de Verpleegkundige Monitoring bij Somatiek en Leefstijl (VMSL-GGZ) en Leefstijl in Beeld. Hierbij horen e-healthtools en een e-learningmodule. Een uitgebreide evaluatie zal uitwijzen of de richtlijnen rond somatiek en leefstijl effectief geïmplementeerd kunnen worden in de GGZ-beroepspraktijk. Boogde resultaten Het project brengt tot op het niveau van de patiënt de resultaten in beeld van het werken met richtlijnen en methodieken bij: 1) screening van patiënten met een ernstige psychische aandoening op dreigende gezondheidsproblemen; 2) toepassing van interventies als de gezondheid in gevaar is. De bij de methodieken horende e-healthtools en e-learningmodule zijn doorontwikkeld en breed inzetbaar. Verspreiding van kennis en ervaring die is opgedaan in het project vindt plaats via de netwerken van het consortium. Borging van de inzichten in het onderwijs is eveneens een primaire doelstelling.
