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1.
J Infect Chemother ; 28(7): 896-901, 2022 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-35339383

RESUMO

INTRODUCTION: Seasonal influenza vaccination for the elderly is highly recommended during the COVID-19 pandemic. In Japan, the amount of subsidy for influenza differs among municipalities. Thus, we investigated the amount of and variation in subsidy for influenza vaccination for the elderly in 2020. METHODS: This was an ecological study of 1,922 municipalities in Japan. The amount of subsidy for influenza vaccines for the elderly in each municipality was surveyed through websites or via telephone. Geographic and financial data for municipalities and prefectures were obtained from the open data. The amount of co-payment for the influenza vaccine and the geographical and financial status of each municipality were compared, according to the aging rate. Univariate logistic regression analysis was performed to explore factors related to the free influenza vaccine. RESULTS: Municipalities with higher aging rates tended to have higher median co-payments for vaccines in 2020. (0 yen vs 1000 yen, p < 0.001) In addition, they tended to have worse financial conditions and lower per capita incomes. A similar trend was observed in the analysis by prefecture, i.e., a higher influenza mortality rate in prefectures with a higher aging rate. Despite having lower incomes, municipalities and prefectures with higher aging populations had higher mortality rates from influenza and higher co-payments for influenza vaccination. CONCLUSIONS: In Japan, there is a disparity among elderly people; areas with an aging population have higher co-payments for influenza vaccines despite lower incomes, suggesting that the government needs to implement corrective measures to reduce this disparity.


Assuntos
COVID-19 , Vacinas contra Influenza , Influenza Humana , Idoso , COVID-19/epidemiologia , COVID-19/prevenção & controle , Humanos , Influenza Humana/epidemiologia , Influenza Humana/prevenção & controle , Japão/epidemiologia , Pandemias/prevenção & controle , Vacinação
2.
Nihon Koshu Eisei Zasshi ; 67(8): 509-517, 2020.
Artigo em Japonês | MEDLINE | ID: mdl-32879237

RESUMO

Objective To explore health-related and socioeconomic factors that can predict future deterioration in Psychological Distress Scale (K6) scores.Method We conducted a baseline (2010, 2011) self-administered questionnaire survey of the Kobe Orthopedic and Biomedical Epidemiological study (KOBE study) involving 1,117 participants who had no previous history of cancer or cardiovascular diseases and were not under treatment for hypertension, diabetes, or dyslipidemia. We used the Japanese K6 as an indicator of stress and defined K6≧5 points as a high-stress group and K6<5 points as a low-stress group. A four-year follow-up survey (2014, 2015) was conducted on 1,004 people (follow-up rate of 90%). We excluded 39 participants with missing values, and 185 people whose K6 score was higher than 5 points at baseline. A final total of 780 participants' scores were examined for: gender, age, living situation, physical activity level, average sleep time, as well as the K6 score, the Japanese Hearing Handicap Inventory for Elderly (HHIE-S), and the Japanese Oswestry Disability Index (ODI). We conducted a logistic regression analysis using K6≧5 points at the four-year follow-up survey as the dependent variable and each factor at the baseline survey as the independent variable.Results Of the 780 subjects analyzed, 132 (16.9%) were highly stressed (K6≧5 points) at the four-year follow-up point. A logistic regression analysis found age (40s/70s) (odds ratio 3.38, 95% confidence interval 1.45-7.86), living situation (single/living together) (odds ratio 1.98, 95% confidence interval 1.07-3.68), and ODI scores (every 1%) (odds ratio 1.05, 95% confidence interval 1.01-1.09), to all be significantly associated with high stress.Conclusion This study suggests that age, living situation, and ODI scores are related to future stress.


Assuntos
Estresse Psicológico/diagnóstico , População Urbana , Adulto , Fatores Etários , Feminino , Seguimentos , Previsões , Humanos , Japão , Modelos Logísticos , Masculino , Pessoa de Meia-Idade , Características de Residência , Fatores Socioeconômicos , Estresse Psicológico/psicologia , Inquéritos e Questionários
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