Literature DB >> 17853482

Height as a potential indicator of early life events predicting Parkinson's disease: a case-control study.

Paolo Ragonese1, Marco D'Amelio, Graziella Callari, Fabio Aiello, Letterio Morgante, Giovanni Savettieri.   

Abstract

Aim of this study was to investigate the relationship between height in young adult age and Parkinson's disease (PD) risk. We included 266 persons affected by idiopathic PD. Patients were matched by age and sex to 266 controls by a random selection from the municipality of residence. We collected information about height preceding PD from official documents where these characteristics referred to young adult age (nearly 30 years). We compared height in cases and controls by calculating differences in mean distribution and by chi(2) analyses. Crude and adjusted odds ratios (OR) and 95% confidence intervals (CI) were calculated by logistic regression models. Mean height was significantly lower in persons affected by PD compared to controls (P = 0.03). Difference was significant only in men (P = 0.001). Logistic regression models showed an inverse association between height and PD (OR 0.35; CI 0.16, 0.79; P < 0.01 comparing individuals in the highest percentiles of height with those in the lowest). Our results indicate an association between height and PD in men. Considering that dopamine sensitivity in the hypothalamic-pituitary axis is related to adult height, our findings suggest a relationship between PD and factors modulating somatic growth early in life. (c) 2007 Movement Disorder Society.

Entities:  

Mesh:

Year:  2007        PMID: 17853482     DOI: 10.1002/mds.21728

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  2 in total

1.  Height and nigral neuron density in Parkinson's disease.

Authors:  Laura Saari; Emmilotta A Backman; Pia Wahlsten; Maria Gardberg; Valtteri Kaasinen
Journal:  BMC Neurol       Date:  2022-07-11       Impact factor: 2.903

2.  Longitudinal analysis of premotor anthropometric and serological markers of Parkinson's disease.

Authors:  Katsunori Yokoi; Makoto Hattori; Yuki Satake; Yasuhiro Tanaka; Maki Sato; Atsushi Hashizume; Akihiro Hori; Motoshi Kawashima; Akihiro Hirakawa; Hirohisa Watanabe; Masahisa Katsuno
Journal:  Sci Rep       Date:  2020-11-25       Impact factor: 4.379

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.