Changes in Body Composition Before and After Parkinson's Disease Diagnosis

Song, Shengfang; Luo, Zhehui; Li, Chenxi; Huang, Xuemei; Shiroma, Eric J.; Simonsick, Eleanor M.; Chen, Honglei

doi:10.1002/mds.28536

Cited by 15 publications

(12 citation statements)

References 49 publications

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“…However, this training for 11 weeks does not change body composition parameters ( Table 3 ) and this could be useful for these subjects who usually tend to quickly reduce their weight and their lean mass with the progression of the disease [ 102 , 103 , 104 , 105 ]. Regarding bone metabolism, our results suggest that could be an influence of resistance training on bone turnover, positive for osteocalcin (formation marker), which from 21.08 ± 6.66 (μg/L) at baseline increases significantly ( p < 0.05) in the post-training period to 23.58 ± 6.58 (μg/L).…”

Section: Discussionmentioning

confidence: 99%

Effects of a Resistance Training Protocol on Physical Performance, Body Composition, Bone Metabolism, and Systemic Homeostasis in Patients Diagnosed with Parkinson’s Disease: A Pilot Study

Amato

Baldassano

Vasto

et al. 2022

IJERPH

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Parkinson’s disease (PD) is a neurodegenerative disorder characterized by motor impairments and it is correlated with loss of bone mineral density. This study aimed to analyze the effects of resistance training on bone metabolism, systemic homeostasis, body composition, and physical performance in people with PD. Thirteen subjects (age 64.83 ± 5.70) with PD diagnosis were recruited. Participants performed neuromuscular tests, body composition assessment, and blood sample analysis at baseline, and after an 11 weeks-training period. Each training session lasted 90 min, three times a week. The participants had significant improvements in the timed up and go (p < 0.01), sit to stand (p < 0.01), dominant peg-board (p < 0.05), dominant foot-reaction time (p < 0.01), and functional reach tests (p < 0.05). They showed better pressure foot distributions in the left forefoot (p < 0.05) and hindfoot (p < 0.05) and increased cervical right lateral bending angle (p < 0.05). The protocol affects bone metabolism markers osteocalcin (p < 0.05), calcium (p < 0.01), PTH (p < 0.01), the C-terminal telopeptide (CTX) (p < 0.01), and vitamin D (p < 0.05). Eleven weeks of resistance training improved manual dexterity, static and dynamic balance, reaction time, cervical ROM, and reduced bone loss in people with PD.

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Section: Discussionmentioning

confidence: 99%

Effects of a Resistance Training Protocol on Physical Performance, Body Composition, Bone Metabolism, and Systemic Homeostasis in Patients Diagnosed with Parkinson’s Disease: A Pilot Study

Amato

Baldassano

Vasto

et al. 2022

IJERPH

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“…To examine how LDL-C changes in RA cases before and after diagnosis, we used a residual method previously described by Song et al [ 18 ]. First, using only participants who did not develop RA, we fitted a linear regression model of LDL-C on years to end of follow-up, age at baseline, sex, BMI, HDL-C, and TG.…”

Section: Methodsmentioning

confidence: 99%

Low-Density Lipoprotein Cholesterol and the Risk of Rheumatoid Arthritis: A Prospective Study in a Chinese Cohort

VanEvery

Yang

et al. 2022

Nutrients

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Objective: This study aimed to investigate whether low-density lipoprotein cholesterol (LDL-C) concentration was associated with the risk of rheumatoid arthritis (RA) in Chinese adults. Methods: The study included the 97,411 participants in the Kailuan Study without RA, with complete baseline LDL-C data, and who did not use lipid-lowering medications at baseline or during follow-up. We used Cox proportional hazards modeling to calculate the hazard ratio (HR) and 95% confidence interval (95% CI) of RA according to baseline LDL-C tertiles, adjusting for age, sex, body mass index, HDL-C, triglycerides, diabetes, hypertension, alcohol consumption, and smoking. We also calculated the HR and 95% CI of RA using updated LDL-C measurements prior to the end of follow-up, adjusting for covariates. Results: We identified 97 incident RA cases between 2006 and 2018. After adjusting for potential confounders, updated LDL-C concentration—rather than baseline LDL-C—was inversely associated with RA risk. The adjusted HR of RA was 0.64 (95% CI: 0.38, 1.09; p-trend = 0.10) comparing the two extreme baseline LDL-C tertiles, and 0.38 (95% CI: 0.22, 0.64; p-trend < 0.01) comparing the two extreme tertiles of the updated LDL-C concentrations. Conclusions: In this prospective study, high LDL-C concentrations, when measured closest to RA diagnosis or the end of follow-up, were associated with a low risk of RA. These findings highlight the changes in LDL-C prior to RA diagnosis, and the importance of including lipid analyses into studies of the pathogenesis of RA.

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“…We further defined the year of diagnosis as either the first year that PD medication or diagnosis was reported or, for PD first identified by hospitalization or death, the midpoint between the first identification and the previous year of the medical survey without PD medication use. In the analysis, we used the year of PD diagnosis as the reference time point, similar to what we published previously [14,15]. For each PD case at each clinical visit, we calculated the number of years in reference to the time of PD diagnosis by subtracting the calendar year of PD diagnosis from the year of a clinic visit.…”

Section: Pd Ascertainmentmentioning

confidence: 99%

Depressive symptoms before and after Parkinson’s diagnosis—A longitudinal analysis

Song

Luo

et al. 2022

PLoS ONE

Self Cite

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Background Depression is common in Parkinson’s disease (PD). It is however unclear when and how depressive symptoms develop and progress in the course of PD development. Objective To assess how depressive symptoms evolve in PD, using repeated measures. Methods In 2994 older adults, ages 70–79 years, depressive symptoms were assessed 8 times over 11 years using the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10). For each PD patient at each time point, we calculated the difference between CESD-10 score and its expected value estimated based on data from individuals without PD, and then realigned the time scale in reference to the year of PD diagnosis. We examined longitudinal changes in CESD-10 scores before and after PD diagnosis using a joint modeling approach to account for competing risks of non-participation and death. Results A total of 79 PD patients were identified at enrollment or during the follow-up, with repeatedly assessed depressive symptom data up to 9 years before and after PD diagnosis. We found a monotonic trend of increasing CESD-10 score in PD patients throughout the observational period (p = 0.002). The observed scores became higher than expected approximately 7 years before PD diagnosis and significantly different 1 year before PD diagnosis. Conclusions Increasing depressive symptomatology appears to precede PD diagnosis by a few years.

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Changes in Body Composition Before and After Parkinson's Disease Diagnosis

Cited by 15 publications

References 49 publications

Effects of a Resistance Training Protocol on Physical Performance, Body Composition, Bone Metabolism, and Systemic Homeostasis in Patients Diagnosed with Parkinson’s Disease: A Pilot Study

Effects of a Resistance Training Protocol on Physical Performance, Body Composition, Bone Metabolism, and Systemic Homeostasis in Patients Diagnosed with Parkinson’s Disease: A Pilot Study

Low-Density Lipoprotein Cholesterol and the Risk of Rheumatoid Arthritis: A Prospective Study in a Chinese Cohort

Depressive symptoms before and after Parkinson’s diagnosis—A longitudinal analysis

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