ABSTRACT
Background China is witnessing an accelerated aging process and an increasingly serious situation of Parkinson's disease. Research on the pre-disease stage and its related influencing factors has gained more and more attention. Objective To analyze the current situation of prodromal Parkinson's disease (pPD) of people aged 55 years and above in four provinces of China, and to explore its influencing demographic and socio-economic characteristics. Methods Using the data of Community-based Cohort Study on Nervous System Disease in 2020, a total of 10724 participants with complete data on demographic and socio-economic factors and risk factors on Parkinson's disease were selected. Based on the criteria recommended by the International Parkinson and Movement Disorder Society (MDS), we evaluated risk level (i.e., post-test probability) of pPd, prevalence of possible or probable pPD, and number of pPD-related risk/prodromal markers in the participants. Multiple linear regression and multiple logistic regression models were used to analyze the influencing socio-demographic factors of risk level of pPd and prevalence of possible or probable pPD, and Poisson regression and multinomial logit regression models were used to analyze the influencing socio-demographic factors of the number of pPD-related risk/prodromal markers in the total sample, men, and women, respectively. Results The median (P25, P75) of post-test probability of pPD in 2020 was 0.78% (0.42%, 1.66%), the prevalence rate of possible or probable pPD was 0.34%, and 69.03% of the participants reported 3-5 pPD-related risk/prodromal markers. The post-test probabilities of men, those with older age, lower education level, per capita monthly household income < 1000 yuan, urban residency, or without active employment were higher (P<0.05). Men and being aged ≥ 75 years had a higher prevalence of possible or probable pPD (P<0.05). The OR of possible or probable pPD was 8.404 (95%CI: 2.839−24.879) in subjects aged ≥ 75 years versus those aged 55−64 years. Males, those without active employment, being less educated, with older age, and urban residents were more likely to report pPD-related risk/prodromal markers than those of the opposite groups (P<0.05). Conclusion Men, subjects aged ≥75 years, those with lower education level, urban residents, and those without active employment have higher risk levels of pPD and are more likely to report pPD-related risk/prodromal markers among people aged 55 years and above in the four provinces of China, poor economic situation is also associated with higher risk levels of pPD.
ABSTRACT
OBJETIVOS: Avaliar a qualidade de vida (QV) em diabéticos tipo 1 assistidos na Associação dos Diabéticos de Itabuna, BA (ASDITA), e verificar suas relações com as variáveis clínicas e sociodemográficas (escolaridade, renda familiar e ocupação). MÉTODOS: Foram estudados 34 pacientes (γ = 88 por cento, ε = 5 por cento; 53 por cento mulheres, média de idade 20,4 ± 8,4 anos e média de tempo de diagnóstico 5,7 ± 4,9 anos), por meio de entrevista e antropometria (medidas de peso e altura). RESULTADOS: O perfil sociodemográfico da amostra revelou renda familiar per capita de 0,70 ± 0,56 salários mínimos, 53 por cento possuíam o ensino fundamental, 64,7 por cento eram estudantes. Em média, a qualidade de vida (QV) foi regular (58,8 por cento). Não interferiram na QV: escolaridade, ocupação, etnia, índice de massa corpórea, número de aplicações diárias de insulina e perfil de monitoração da glicemia capilar. Associaram-se a pior QV: sexo feminino, ser adulto, tempo de diagnóstico maior ou igual a dez anos e baixa renda familiar. CONCLUSÕES: A QV destes pacientes foi inferior ao descrito na literatura, entretanto, estudos adicionais são necessários para comparações com diabéticos em condições socioeconômicas e culturais semelhantes às observadas nesta pesquisa.
OBJECTIVES: This research has appraised the quality of life (QL) of diabetics type 1 member of Associação dos Diabéticos de Itabuna (ASDITA) and has verified their correlation between clinic variable and social-demographic situation of this group. RESEARCH DESIGN AND METHODS: Thirty-four patients (γ = 88 percent, ε = 5 percent; 53 percent female, age 20.4 ± 8.4 years, diagnostic time 5.7 ± 4.9 year) have participated in this research, data showed weight and height after the interview and measuring. RESULTS: The social-demographic profiles of this group revealed family income of 0.7 ± 0.56 of minimal salary, 53 percent had elementary school level and 64.7 percent were students. In avarage, the QL was regular (58.8 percent). QL has not been influenced by the level of education, ethnology, occupation, BMI, daily shot of insulin, or glicemic monitorization profile but woman, adult, diagnostic time more than ten years, little family income have had the worst QL. CONCLUSIONS: The QL of the searched patients has been less than what several publications have showed, but additional researches are necessary to have better comparisons between diabetics with socio-economical and cultural conditions similar to the ones observed in this research.