| Literature DB >> 31868680 |
Aaron Ben-Joseph1, Charles R Marshall1, Andrew J Lees2, Alastair J Noyce1,2.
Abstract
The global prevalence of Parkinson's disease is increasing, yet the characteristics, risk factors and genetics of PD in Black, Asian and Hispanic populations is little understood. In this paper we review the published literature on clinical variation in the symptoms and signs of Parkinson's disease in different ethnic groups and responses to treatment. We included any study that sampled patients with Parkinson's disease from distinct ethnic backgrounds. We conclude that whilst there is little published evidence for ethnic variation in the clinical features of Parkinson's disease, there are substantial limitations and gaps in the current literature, which mean that the evidence does necessarily not fit with clinical observation. Possible explanations for expected differences in manifestation include genetic determinants, the co-existence of cerebrovascular disease and/or Alzheimer's disease pathology, healthcare inequalities and socio-cultural factors.Entities:
Keywords: Parkinson’s disease; atypical parkinsonism; dementia; epidemiology; ethnic groups; tremor
Mesh:
Year: 2020 PMID: 31868680 PMCID: PMC7029316 DOI: 10.3233/JPD-191763
Source DB: PubMed Journal: J Parkinsons Dis ISSN: 1877-7171 Impact factor: 5.568
Motor sub-type in de novo PD cases by country
| Study | Year | Country | Total study participants | Mean Age (y) | Sex M/F | TD (No.) | TD (%) | Rigid-Akinetic or PIGD (No.) | Rigid Akinetic or PIGD (%) | Indeterminate or Mixed (No.) | Indeterminate or mixed (%) | Method of Subtyping |
| Reinoso | 2014 | Singapore | 576 | 63.8 | 328/248 | 19 | 3.3 | 383 | 66.5 | 174 | 30.2 | Lewis method and Rossi modifications |
| Rajput | 2017 | Canada | 156 | 65.0 | 98/58 | 10 | 6.4 | 45 | 28.8 | 101 | 64.7 | Novel method |
| Ramani | 2016 | UK | 42 | 67.0 | 29/13 | 7 | 16.7 | 17 | 40.5 | 18 | 42.9 | Novel method |
| Poletti | 2011 | Italy | 42 | 65.0 | 28/14 | 10 | 23.8 | 24 | 57.1 | 8 | 19.0 | Lewis method |
| Alves | 2006 | Norway | 171 | 71.3 | 112/87 | 43 | 25.1 | 92 | 53.8 | 36 | 21.1 | Jankovic |
| Auyeung | 2012 | Hong Kong | 171 | 62.2 | 93/78 | 46 | 26.9 | 62 | 36.3 | 63 | 36.8 | Novel method |
| Yuan | 2013 | China | 51 | 61.9 | 24/24 | 20 | 39.2 | 19 | 37.3 | 12 | 23.5 | Jankovic method with Korchovinov modifications |
| Mocciia | 2016 | Italy | 63 | 60.6 | 38/25 | 27 | 42.9 | 18 | 28.6 | 18 | 28.6 | Jankovic |
| Konno | 2018 | USA | 1003 | 64.0 | 637/366 | 439 | 43.8 | 386 | 38.5 | 178 | 17.7 | Most prominent symptom at diagnosis |
| Seong-Min Choi | 2018 | South Korea | 192 | 66.2 | 94/98 | 87 | 45.3 | 82 | 4.1 | 23 | 12.0 | Jankovic |
| Moretti | 2012 | Italy | 103 | 64.1 | 60/43 | 47 | 45.6 | 56 | 54.4 | 0.0 | Most prominent symptom at diagnosis | |
| Appleman | 2011 | USA | 35 | 66.2 | 22/13 | 16 | 45.7 | – | – | 19 | 54.3 | First symptoms noticed by patient |
| Muller | 2011 | Norway | 207 | 67.9 | 122/85 | 95 | 45.9 | 88 | 42.5 | 24 | 11.6 | Jankovic |
| Hiorth | 2013 | Norway | 207 | 67.9 | 122/85 | 95 | 45.9 | 89 | 43.0 | 23 | 11.1 | Novel UPDRS ratio |
| Aygun | 2014 | Turkey | 104 | 66.5 | 68/36 | 57 | 54.8 | – | – | 47 | 45.2 | Most prominent symptom at diagnosis |
| Nicoletti | 2016 | Italy | 485 | 65.6 | 292/193 | 311 | 64.1 | 104 | 21.4 | 70 | 14.4 | Most prominent symptom at diagnosis |
TD, tremor dominant; PIGD, postural instability and gait disorder; Lewis method with Rossi modifications, ratio of the mean tremor scores (TD) (items 20, 21) and the mean Akinetic-rigid score (AR) (items 18, 19, 22, 27–31): if the ratio TD/AR > 2.0 it was defined as TD and if AR/TD more than 2.0 was defined as AR, and mixed type was any indeterminate result. Jankovic, Ratio of mean TD scores divided by mean of postural instability and gait items (falling, freezing, subjective gait difficultly, gait and postural instability): if ratio >1.5 TD PD, if ratio <1.0 PIGD PD. Other subtyping methods are as described in the reference materials.
Non-motor symptoms questionnaire (NMSQ) results by country
| Study | Year | Country | Total study participants | Mean years since diagnosis | Drooling (%) | Anosmia (%) | Dysphagia (%) | N&V (%) | Constipation (%) | Faecal incontinence (%) | Rectal tenesmus (%) | Urinary urgency (%) | Nocturia (%) | Pain (%) | Weight change (%) | Memory problems (%) | Apathy (%) | Hallucinations (%) | Concentration problems (%) | Depression (%) | Anxiety (%) | Change in sexual interest (%) | Sexual dysfunction (%) | OH (%) | Falls (%) | EDS (%) | Insomnia (%) | Intense dreaming (%) | RBD (%) | Restless legs (%) | Leg swelling (%) | Hyperhidrosis (%) | Diplopia (%) | Delusions (%) |
| Duncan | 2014 | UK | 158 | 0.5 | 55 | 44 | 20 | 9 | 42 | 6 | 32 | 46 | 25 | 54 | 23 | 54 | 27 | 22 | 29 | 37 | 42 | 18 | 21 | 32 | 23 | 25 | 18 | 30 | 35 | 27 | 27 | 10 | 10 | 1 |
| Romenets | 2012 | USA | 70 | 3.8 | 27 | 21 | 16 | 16 | 30 | 7 | 41 | 59 | 68 | 30 | 21 | 42 | 29 | 12 | 39 | 38 | 36 | 36 | 42 | 38 | 10 | 14 | 41 | 34 | 38 | 47 | 12 | 19 | 15 | 1 |
| Hui-juan Li | 2015 | China | 82 | 5.1 | 44 | 45 | 33 | 22 | 67 | 2 | 44 | 55 | 87 | 48 | 29 | 95 | 72 | 15 | 33 | 67 | 61 | 49 | 50 | 38 | 6 | 73 | 78 | 83 | 52 | 76 | 7 | 65 | 39 | 42 |
| Cosentino | 2013 | Peru | 300 | 5.8 | 37 | 36 | 22 | 14 | 56 | 7 | 41 | 66 | 77 | 51 | 53 | 61 | 44 | 20 | 50 | 81 | 61 | 55 | 46 | 48 | 30 | 33 | 48 | 33 | 36 | 52 | 16 | 43 | 13 | 10 |
| Khedr | 2013 | Egypt | 112 | 6.2 | 30 | 10 | 24 | 11 | 52 | 5 | 16 | 55 | 60 | 44 | 33 | 30 | 38 | 13 | 42 | 47 | 61 | 46 | 43 | 54 | 39 | 39 | 46 | 19 | 15 | 15 | 17 | 21 | 7 | 10 |
| Cheon | 2008 | S Korea | 74 | 6.4 | 32 | 28 | 31 | 23 | 66 | 5 | 39 | 55 | 68 | 49 | 35 | 61 | 53 | 18 | 51 | 65 | 48 | 35 | 37 | 64 | 38 | 26 | 56 | 40 | 35 | 67 | 31 | 60 | 41 | 8 |
| Rodríguez-Violante | 2011 | Mexico | 232 | 6.6 | 25 | 34 | 33 | 6 | 58 | 10 | 38 | 60 | 62 | 84 | 28 | 47 | 34 | 19 | 39 | 67 | 45 | 37 | 37 | 46 | 36 | 28 | 47 | 38 | 33 | 47 | 24 | 39 | 18 | 10 |
| Martinez-martin | 2007 | International | 545 | 7 | 42 | 29 | 28 | 14 | 53 | 8 | 30 | 56 | 62 | 29 | 18 | 45 | 35 | 23 | 46 | 50 | 45 | 34 | 32 | 28 | 28 | 31 | 46 | 34 | 36 | 42 | 31 | 30 | 20 | 11 |
| Tanveer | 2018 | Pakistan | 97 | 7 | 37 | 26 | 28 | 24 | 60 | 24 | 26 | 62 | 77 | 47 | 38 | 59 | 42 | 30 | 35 | 52 | 40 | - | - | 53 | 46 | 41 | 53 | 35 | 36 | 42 | 32 | 37 | 13 | 23 |
| Bostantjopoulou | 2013 | Greece | 166 | 7.1 | 19 | 26 | 14 | 11 | 46 | 1 | 24 | 54 | 52 | 18 | 7 | 31 | 13 | 2 | 17 | 42 | 38 | 37 | 33 | 28 | 8 | 9 | 26 | 33 | 27 | 29 | 18 | 21 | 11 | 2 |
| Chaudhuri | 2010 | UK, Germany, Spain | 242 | 8 | 42 | 43 | 27 | 16 | 48 | 6 | 27 | 60 | 65 | 46 | 23 | 51 | 34 | 17 | 50 | 49 | 42 | 37 | 34 | 39 | 29 | 35 | 47 | 35 | 39 | 41 | 38 | 31 | 18 | 10 |
| Mukhtar | 2018 | Pakistan | 85 | – | 28 | 29 | 17 | 10 | 56 | 6 | 11 | 35 | 49 | 30 | 20 | 45 | 29 | 8 | 16 | 47 | 36 | 30 | 30 | 40 | 19 | 13 | 29 | 22 | 11 | 22 | 14 | 24 | 14 | 8 |
N&V, nausea and vomiting; OH, orthostatic hypotension; EDS, excessive daytime sleepiness; RBD, REM sleep behaviour disorder. Any data that was not available is replaced with a dash.
Impulse control behaviours by country
| Study | Year | Country | Total study participants | ICB present (%) | DA prescribed (%) | Hypersexuality (%) | Punding (%) | Hobbyism (%) | Excessive spending (%) | Gambling (%) | Excessive eating (%) | Medication use (DDS) (%) | Excessive internet use (%) | Walkabout (%) |
| Fan | 2009 | China | 312 | 3.53 | 45.8 | 54.5 | – | – | – | 9.1 | 9.1 | 18.2 | 9.1 | – |
| Kenangil | 2010 | Turkey | 554 | 5.9 | – | 42.0 | 57.0 | – | 24.0 | 12.1 | 27.0 | 21.0 | – | – |
| Poletti | 2013 | Italy | 805 | 8.1 | 49.8 | 36.9 | 3.1 | – | 12.3 | 40.0 | 29.2 | 3.1 | – | – |
| Weintraub | 2010 | USA | 3090 | 13.6 | 66 | 25.7 | – | – | 42.1 | 36.7 | 31.4 | – | – | – |
| Callesen | 2014 | Denmark | 490 | 35.9 | – | 25.0 | 30.1 | 46.5 | 20.3 | 19.8 | 23.9 | 19.2 | – | 14.2 |
| Valença | 2013 | Brazil | 152 | 18.4 | 25.6 | 64.3 | – | – | 57.1 | 7.1 | 42.9 | – | – | – |
| Corvol | 2018 | France | 426 | 19.7 | 73.5 | 43.1 | – | – | 23.3 | 19.8 | 53.3 | – | – | – |
| Perez-Lloret | 2012 | France | 203 | 25.0 | 79.3 | 39.8 | – | – | 23.9 | 11.9 | 55.7 | – | – | – |
| Rodriguez-violante | 2014 | Mexico | 450 | 25.7 | 57.3 | 11.7 | *55.8 | *55.8 | 11.7 | 5.2 | 33.8 | – | – | – |
| Ramirez Gomez | 2017 | Argentina, Colombia, Ecuador | 255 | 27.5 | 77.2 | 35.7 | 20.0 | 1.4 | 14.3 | 17.1 | 47.1 | – | – | – |
| Joutsa | 2012 | Finland | 575 | 27.7 | 74.9 | 64.6 | 45.3 | 65.1 | 28.6 | 25.0 | 33.3 | – | – | |
| Antonini | 2017 | Italy | 1095 | 29.1 | 78 | 34.0 | 14.1 | 44.8 | 22.6 | 18.6 | 34.6 | 16.7 | – | – |
| Erga | 2017 | Norway | 125 | 30.4 | 62.4 | 31.6 | 34.2 | 7.9 | – | – | ||||
| Zhang | 2017 | China | 142 | 31.0 | 49.3 | 9.0 | 26.7 | 20.3 | 15.8 | 22.6 | 18.1 | 36.5 | – | – |
| Garcia-Ruiz | 2014 | Spain | 233 | 39.1 | 100 | 30.8 | 31.9 | 49.5 | 17.6 | 9.9 | 6.6 | 7.7 | – | – |
| Sharma | 2015 | India | 299 | 42.8 | 81.9 | 25.8 | 29.0 | 22.0 | 19.6 | 7.7 | 12.5 | 18.0 | – | – |
| Kishore | 2013 | India | 305 | 31.5 | 49 | 16.0 | 50.0 | – | 26.0 | 14.6 | 25.0 | 10.4 | – | – |
| Otmani H | 2019 | Morocco | 125 | 28.0 | – | 28.6 | *40.0 | *40.0 | 34.3 | 11.4 | 25.7 | 0.0 | – | – |
| Giladi | 2007 | Israel | 193 | 14.0 | 59.6 | 63.0 | – | – | 22.2 | 22.2 | 25.9 | 0.0 | – | – |
| Chiang | 2012 | Taiwan | 268 | 5.6 | – | 53.3 | – | – | 26.7 | 6.7 | 13.3 | – | – | |
| Wang | 2016 | China | 217 | 4.2 | 46.5 | 44.4 | – | – | 11.1 | 33.3 | 11.1 | – | – | – |
| Lee | 2009 | South Korea | 1167 | 10.1 | 72.8 | 28.0 | 41.5 | – | 24.6 | 12.7 | 33.9 | – | – | – |
*refers to a study which has counted hobbyism and punding as the same sub-type of ICB. Percentages represent No. of patients with that particular ICB divided by total number of patients with ICB. ICB, impulse control behaviour; DA, dopamine agonist; DDS, dopamine dysregulation syndrome. Where data was not reported/recorded in the articles they have been replaced with a dash.
Future directions to ameliorate ethnic inequalities in PD research
| • Future cross-sectional and cohort studies in ethnically diverse samples of PD cases |
| • A drive to ensure future GWAS studies are as representative of the global population as possible |
| • Sharing of raw UPDRS data to enable meta-analysis of mono-ethnic studies |
| • Developing a standardised method of determining the motor sub-type |
| • Analysis of ethnic variation in cognitive impairment and neuropsychiatric features that are major determinants of morbidity and mortality in PD |
| • Establish culturally fair definitions of cognitive impairment |
| • Investigate role of vascular risk factors in ethnic variation in PD |
| • Exploration of the role that ethnic and geographic variation in comorbidities have as determinants of ethnic variation in PD |
| • Further assessment of the contribution of co-morbid Alzheimer’s pathology in shaping ethnic variation seen in PD |
| • Improving awareness of ethnic healthcare inequalities in the diagnosis and treatment of PD and ameliorating them where possible |
| • Neuropathological studies in ethnically diverse PD cases |