J.M.M. Meijers

Do structural quality indicators of nutritional care influence malnutrition prevalence in Dutch, German, and Austrian nursing homes?

OBJECTIVEnThe aim of this study was to explore whether structural quality indicators for nutritional care influence malnutrition prevalence in the Netherlands, Germany, and Austria. Furthermore, differences in malnutrition prevalence and structural quality indicators for nutritional care nursing homes in the three countries were examined.nnnMETHODSnThis was a cross-sectional, multicenter study using a standardized questionnaire at the patient, ward, and institutional levels. Malnutrition was assessed by low body mass index, undesired weight loss, and reduced intake. Structural quality indicators of nutritional care were measured at the ward and institutional levels.nnnRESULTSnThe prevalence of malnutrition differed significantly between the three countries (Netherlands 18%, Germany 20%, and Austria 22.7%). Structural quality indicators related to nutritional care as having a guideline of prevention and treatment of malnutrition were related to malnutrition and explained malnutrition prevalence variance between the Netherlands and Germany. Differences between the Netherlands and Austria in malnutrition prevalence still existed after controlling for these quality structural indicators.nnnCONCLUSIONSnStructural quality indicators of nutritional care are important in explaining malnutrition variance between the Netherlands and Germany. However, they did not explain the difference in malnutrition prevalence between the Netherlands and Austria. Investigating the role of process indicators may provide insight in the role of structural quality indicators of nutritional care in explaining the malnutrition prevalence differences between the Netherlands and Austria.

Muscle, Health and Costs: A Glance at their Relationship

ObjectiveTo assess the association between muscle parameters (mass, strength, physical performance) and activities of daily living (ADL), quality of life (QoL), and health care costs.DesignCross-sectional Maastricht Sarcopenia Study (MaSS).SettingCommunity-dwelling, assisted-living, residential living facility.Participants227 adults aged 65 and older.MeasurementsMuscle mass, hand grip strength and physical performance were assessed by bio-electrical impedance, JAMAR dynamometer and the Short Physical Performance Battery, respectively. Health outcomes were measured by the Groningen Activity Restriction Scale (disability in ADL) and the EQ-5D-5L (QoL). Health care costs were calculated based on health care use in the past three months.ResultsMuscle strength and physical performance showed a strong correlation with ADL, QoL, and health care costs (P<.01); for muscle mass no significant correlations were observed. Regression analyses showed that higher gait speed (OR 0.06, 95%CI 0.01-0.55) was associated with a lower probability of ADL disability. Furthermore, slower chair stand (OR 1.23, 95%CI 1.08-1.42), and more comorbidities (OR 1.58, 95%CI 1.23-2.02) were explanatory factors for higher ADL disability. Explanatory factors for QoL and costs were: more disability in ADL (OR 1.26, 95%CI 1.12-1.41 for QoL; B = 0.09, P<.01 for costs) and more comorbidities (OR 1.44, 95%CI 1.14-1.82 for QoL; B = 0.35, P<.01 for costs).ConclusionLower gait speed and chair stand were potential drivers of disability in ADL. Disability in ADL and comorbidities were associated with QoL and health care costs in community-dwelling older adults. Improving physical performance may be a valuable target for future intervention and research to impact health burden and costs.