Handgrip Strength and Anthropometry in Parkinson's Disease at Diagnosis

Objectives. To investigate how age, malnutrition, and the level of plasma cortisol and phosphate in patients with Parkinson's disease (PD) at time of diagnosis are associated with body composition and handgrip strength in males and females compared to controls. Materials & Methods. This cross-sectional study includes baseline data from a cohort of newly diagnosed patients with Parkinson's disease (N = 75; M/F = 41/34) in the New Parkinsonism in Umeå study (NYPUM). Body Impedance (BIS), handgrip strength (HGS) assessments, and evaluation of risk for malnutrition (Mini Nutritional Assessment (MNA) score) and cognitive performance (Mini-Mental State Examination (MMSE)) were performed at time of PD diagnosis. Results. Low fat-free mass index (FFMI), MNA score, and a high Unified Parkinson's Disease Rating Scale (UPDRS-total and UPDRS-III) were associated with high daytime levels of P-cortisol in total PD population but not in controls. Partial correlations reveal that high fat mass percent (FM (%)) and low FFMI were associated with older age in males with PD but not females with PD. Risk of malnutrition was associated with P-cortisol in males but not in females with PD (r =-0.511, P=0.001, and n = 41 and r =-0.055, P=0.759, and n = 34, respectively). Multiple linear regressions show that an interaction between P-cortisol and P-phosphate, older age, and high UPDRS-III score were associated with HGS in total patient population and males but not females. Conclusions. Age-and disease-associated risk factors that decrease muscle mass and HGS and increase FM (%) in patients with PD differ between males and females by an association with levels of cortisol and phosphate

Obesity, smoking habits, and serum phosphate levels predicts mortality after life-style intervention

Background: Life-style interventions, including smoking cessation and weight control are of importance for managing future escalating prevalence of obesity. Smoking habits and obesity have jointly great impact on mortality, however mechanisms behind the effect and variables involved in the obesity paradox is still unknown. Objectives: This study examines risk factors for all-cause, cardiovascular, and cancer mortality in males and females with high cardiovascular risk, mediated by smoking habits, body mass index (BMI, kg/m2), and serum phosphate (S-P) levels. Methods: Patients were admitted to the Vindeln Patient Education Center in groups of 30 for a four-week residential comprehensive program (114 hours) focusing on smoking cessation, stress reduction, food preferences and selections, and physical exercise. The follow-up, in years from 1984 to 2014 corresponds to 30 years. This study included 2,504 patients (1,408 females and 1,096 males). Cox regression analysis was used to assess mortality risk associated with smoking habits, low and high BMI, and low and high S-P levels. Results: High BMI (>34,2 kg/m2), current smoking, type 2 diabetes mellitus (T2DM), high serum calcium (S-Ca), mmol/L and high systolic blood pressure (SBP, mmHg) were associated with all-cause mortality irrespective of sex. Former and current smoking females had a high all-cause mortality (adjusted hazard ratio [HR] 1.581; 95% CI 1.108–2.256, adjusted hazard ratio [HR] 1.935; 95% CI 1.461–2.562, respectively) while current smoking and high BMI increased risk for cardiovascular mortality (adjusted hazard ratio [HR] 3.505; 95% CI 2.140–5.740 and [HR] 1.536; 95% CI 1.058–2.231, respectively). Neither low nor high levels of S-P predicted all-cause, cardiovascular disease (CVD) and cancer mortality in males or females while low levels of S-P predicted all-cause mortality in smokers (adjusted hazard ratio [HR] 1.713; 95% CI 1.211–2.424). In non-smokers, low BMI (<27.6 kg/m2) was protecting and high BMI a risk for all-cause mortality. In males, ischemic heart disease (IHD), and low serum albumin (S-Alb) were associated with all-cause mortality. In females, an interaction between high BMI and smoking (HbmiSM) decreased the cardiovascular mortality (adjusted hazard ratio [HR] 0.410; 95% CI 0.179–0.937, respectively). Conclusions: High BMI and current smoking were associated with all-cause mortality in both males and females in the present high cardiovascular-risk cohort. In current smokers and non-smokers, T2DM and high S-Ca were associated with an increase in all-cause mortality, while low S-P was associated with all-cause mortality in smokers. Interaction between high BMI and smoking contribute to the obesity paradox by being protective for cardiovascular mortality in females

Validation of SenseWear Armband and ActiHeart monitors for assessments of daily energy expenditure in free-living women with chronic obstructive pulmonary disease

To provide individually adapted nutritional support to patients with chronic obstructive pulmonary disease (COPD), objective and reliable methods must be used to assess patient energy requirements. The aim of this study was to validate the use of SenseWear Armband (SWA) and ActiHeart (AH) monitors for assessing total daily energy expenditure (TEE) and activity energy expenditure (AEE) and compare these techniques with the doubly labeled water (DLW) method in free‐living women with COPD. TEE and AEE were measured in 19 women with COPD for 14 days using SWAs with software version 5.1 (TEESWA5, AEESWA5) or 6.1 (TEESWA6, AEESWA6) and AH monitors (TEEAH, AEEAH), using DLW (TEEDLW) as the criterion method. The three methods were compared using intraclass correlation coefficient (ICC) and Bland–Altman analyses. The mean TEE did not significantly differ between the DLW and SWA5.1 methods (−21 ± 726 kJ/day; P = 0.9), but it did significantly differ between the DLW and SWA6.1 (709 ± 667 kJ/day) (P < 0.001) and the DLW and AH methods (709 ± 786 kJ/day) (P < 0.001). Strong agreement was observed between the DLW and TEESWA5 methods (ICC = 0.76; 95% CI 0.47–0.90), with moderate agreements between the DLW and TEESWA6 (ICC = 0.66; 95% CI 0.02–0.88) and the DLW and TEEAH methods (ICC = 0.61; 95% CI 0.05–0.85). Compared with the DLW method, the SWA5.1 underestimated AEE by 12% (P = 0.03), whereas the SWA6.1 and AH monitors underestimated AEE by 35% (P < 0.001). Bland–Altman plots revealed no systematic bias for TEE or AEE. The SWA5.1 can reliably assess TEE in women with COPD. However, the SWA6.1 and AH monitors underestimate TEE. The SWA and AH monitors underestimate AEE

High serum phosphate and triglyceride levels in smoking women and men with CVD risk and type 2 diabetes

This is the published version of a paper published in Diabetology and Metabolic Syndrome. Citation for the original published paper (version of record): Håglin, L., Törnkvist, B., Bäckman, L. Diabetology and Metabolic Abstract Background: Both low and high serum phosphate levels may be associated with morbidity and mortality from cardiovascular disease. As smoking increases risk for type 2 diabetes (as shown by dyslipidemia and hyperglycemia), we wanted to study whether smoking and type 2 diabetes were associated with serum phosphate and triglyceride levels independently from other CVD risk factors

Low level of phosphate in male patients reporting swallowing disturbances in early Parkinson's disease

Background & aim: Swallowing disturbances are associated with older age as well as with other subclinical disturbances of multifactorial origin in patients with Parkinson's disease (PD). This study assesses nutritional markers and whole-body impedance data to better understand swallowing disturbances in Parkinson's disease. Design and patients included: This cross-sectional study includes baseline data from a cohort of newly diagnosed patients identified in the New Parkinsonism in Umeå study (NYPUM) (n = 75). Methods: Swallowing disturbance was registered as a score of one or more on the Unified Parkinson's Disease Rating Scale (UPDRS) section II question number 7 on swallowing. The analysis used nutritional markers in plasma and anthropometry from bioimpedance. Results: Bivariate analysis revealed that swallowing disturbances were associated with low plasma phosphate levels for males (r = −0.428; p = 0.005) and for all patients with PD (r = −0.241; p = 0.037). In males but not in females, a negative association was found between age and albumin and amount of intra-cellular water (ICW, l). Plasma albumin was associated with plasma phosphate (r = 0.315; p = 0.006; n = 75, r = 0.361; p = 0.036; n = 34, r = 0.310; p = 0.049; n = 41). Another risk pattern indicating swallowing disturbance in females was revealed by an association with visceral adiposity index (VAI), plasma triglycerides (TG), and triglyceride/high density lipoprotein (TG/HDL) ratio. The adjusted logistic regression revealed that low phosphate in males and low magnesium in females were risk factors for swallowing disturbance. Conclusion: The age-related decline in plasma phosphate in males with PD may be an important nutritional marker for swallowing disturbances. Body composition measurements and nutritional markers provide information for the study of swallowing dysfunction as part of sarcopenia

Vpliv redčenja grozdja in defoliacije na kakovost grozdja žlahtne vinske trte (Vitis vinifera L.) sorte \u27Laški rizling\u27

Background: In clinical practice, in the absence of objective measures, simple methods to predict energy requirement in patients with chronic obstructive pulmonary disease (COPD) needs to be evaluated. The aim of the present study was to evaluate predicted energy requirement in females with COPD using pedometer-determined physical activity level (PAL) multiplied by resting metabolic rate (RMR) equations. Methods: Energy requirement was predicted in 18 women with COPD using pedometer-determined PAL multiplied by six different RMR equations (Harris-Benedict; Schofield; World Health Organization; Moore; Nordic Nutrition Recommendations; Nordenson). Total energy expenditure (TEE) was measured by the criterion method: doubly labeled water. The predicted energy requirement was compared with measured TEE using intraclass correlation coefficient (ICC) and Bland-Altman analyses. Results: The energy requirement predicted by pedometer-determined PAL multiplied by six different RMR equations was within a reasonable accuracy (+/- 10%) of the measured TEE for all equations except one (Nordenson equation). The ICC values between the criterion method (TEE) and predicted energy requirement were: Harris-Benedict, ICC =0.70, 95% confidence interval (CI) 0.23-0.89; Schofield, ICC =0.71, 95% CI 0.21-0.89; World Health Organization, ICC =0.74, 95% CI 0.33-0.90; Moore, ICC =0.69, 95% CI 0.21-0.88; Nordic Nutrition Recommendations, ICC =0.70, 95% CI 0.17-0.89; and Nordenson, ICC =0.40, 95% CI -0.19 to 0.77. Bland-Altman plots revealed no systematic bias for predicted energy requirement except for Nordenson estimates. Conclusion: For clinical purposes, in absence of objective methods such as doubly labeled water method and motion sensors, energy requirement can be predicted using pedometer-determined PAL and common RMR equations. However, for assessment of nutritional status and for the purpose of giving nutritional treatment, a clinical judgment is important regarding when to accept a predicted energy requirement both at individual and group levels

Early Recognition of Cognitive Ability and Nutritional Markers for Dementia in Parkinson’s Disease

Background: Cognitive decline and dementia are common non-motor problems in Parkinson’s disease (PD). The underlying aetiology is multifaceted and both chronic and reversible causes for cognitive decline are likely to be present. Malnutrition is frequent in the Parkinson population, both early and late in the disease, and nutritional deficiencies could play a role in some cognitive deficits. Objectives: The objective is to study the association between nutritional status with focus on iron intake and homeostasis, mild cognitive impairment (MCI), and PD dementia (PDD). Setting and Participants: This study included 73 out of 145 patients with PD participating in a population-based study in northern Sweden. Measurements: Registration of nutritional status by laboratory analyses of blood plasma and neuropsychological assessments at time of diagnosis were performed. MCI and PDD were assessed yearly up to ten years after diagnosis. Mini Nutritional Assessments (Full-MNA score) and plasma variables detecting iron homeostasis were compared between patients with MCI and patients with normal cognition (NC). Motor severity was measured using the Unified Parkinson´s disease rating scale III, (UPDRS III) and Hoehn and Yahr (H&Y) staging scale. Cox proportional Hazard model were performed to see if any variables that differed between MCI and NC could predict PDD at follow-up. Results: Patients with MCI at time of diagnosis had lower levels of plasma iron (P-Fe) and albumin (P-Albumin) as well as a lower score on Full-MNA score. Dietary intake of iron was higher in patients with MCI than in patients with NC (p = 0.012). In logistic regression models adjusted for age, sex, and UPDRS III, lower levels of P-Fe (p = 0.025) and P-Albumin (p = 0.011) and higher dietary iron intake (p = 0.019) were associated with MCI at baseline. A Cox regression model with dementia as endpoint revealed that lower levels of P-Fe increase the risk of dementia at follow-up with adjustments for age, sex, UPDRS III, and MCI at baseline (HR 95% CI = 0.87 (0.78-0.98), p = 0.021). Conclusions: Low P-Fe was associated with cognitive disturbance at baseline and predicted dementia up to ten years after diagnosis in patients with PD. Low P-Albumin and malnutrition assessed with Full-MNA score were associated with MCI at baseline but did not predict dementia at follow-up