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  1. Article ; Online: Call for Papers—Journal of Epidemiology Reprints of Pioneering Papers Series

    Naoki Kondo

    Journal of Epidemiology, Vol 30, Iss 1, Pp 1-

    Spotlighting Little-Known Non-English Language Research Papers From Japan and Around the World

    2020  Volume 2

    Keywords pioneering studies ; public health ; policy implication ; Medicine (General) ; R5-920
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Japan Epidemiological Association
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Increasing Research Opportunities in Asia Amidst Dramatically Changing Epidemiologic Patterns

    Naoki Kondo

    Journal of Epidemiology, Vol 28, Iss 6, Pp 277-

    2018  Volume 278

    Keywords Asia ; epidemiologic transition ; health disparity ; social determinants of health ; policy ; Medicine (General) ; R5-920
    Language English
    Publishing date 2018-06-01T00:00:00Z
    Publisher Japan Epidemiological Association
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Identifying meaningful subpopulation segments among older public assistance recipients

    Keiko Ueno / Daisuke Nishioka / Junko Saito / Shiho Kino / Naoki Kondo

    International Journal for Equity in Health, Vol 22, Iss 1, Pp 1-

    a mixed methods study to develop tailor-made health and welfare interventions

    2023  Volume 12

    Abstract: Abstract Background Public assistance recipients have diverse and complex needs for health and social support in addition to financial support. Segmentation, which means dividing the population into subgroups (segments) with similar sociodemographic ... ...

    Abstract Abstract Background Public assistance recipients have diverse and complex needs for health and social support in addition to financial support. Segmentation, which means dividing the population into subgroups (segments) with similar sociodemographic characteristics, is a useful approach for allocating support resources to the targeted segments. Clustering is a commonly used statistical method of segmentation in a data-driven marketing approach. This explanatory sequential mixed methods study applied a clustering technique, aiming to identify segments among older public assistance recipients quantitatively, and assess the meaningfulness of the identified segments in consultation and support activities for older recipients qualitatively. Methods We identified the segments of older recipients in two municipalities using probabilistic latent semantic analysis, a machine learning-based soft clustering method. Semi-structured interviews were subsequently conducted with caseworkers to ask whether the identified segments could be meaningful for them in practice and to provide a reason if they could not think of any older recipients from the segment. Results A total of 3,165 older people on public assistance were included in the analysis. Five distinct segments of older recipients were identified for each sex from 1,483 men and 1,682 women. The qualitative findings suggested most of identified segments reflected older recipients in practice, especially two of them: female Cluster 1 (facility residents aged over 85 years with disability/psychiatric disorder), and female Cluster 2 (workers). Some caseworkers, however, did not recall older recipients in practice when working with certain segments. Conclusions A clustering technique can be useful to identify the meaningful segments among older recipients and can potentially discover previously unrecognized segments that may not emerge through regular consultation practices followed by caseworkers. Future research should investigate whether tailored support interventions for ...
    Keywords Public assistance recipients ; Segmentation ; Tailored support intervention ; Soft clustering ; Mixed methods study ; Public aspects of medicine ; RA1-1270
    Subject code 360
    Language English
    Publishing date 2023-08-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Bias amplification in the g-computation algorithm for time-varying treatments

    Kosuke Inoue / Atsushi Goto / Naoki Kondo / Tomohiro Shinozaki

    BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-

    a case study of industry payments and prescription of opioid products

    2022  Volume 10

    Abstract: Abstract Background It is often challenging to determine which variables need to be included in the g-computation algorithm under the time-varying setting. Conditioning on instrumental variables (IVs) is known to introduce greater bias when there is ... ...

    Abstract Abstract Background It is often challenging to determine which variables need to be included in the g-computation algorithm under the time-varying setting. Conditioning on instrumental variables (IVs) is known to introduce greater bias when there is unmeasured confounding in the point-treatment settings, and this is also true for near-IVs which are weakly associated with the outcome not through the treatment. However, it is unknown whether adjusting for (near-)IVs amplifies bias in the g-computation algorithm estimators for time-varying treatments compared to the estimators ignoring such variables. We thus aimed to compare the magnitude of bias by adjusting for (near-)IVs across their different relationships with treatments in the time-varying settings. Methods After showing a case study of the association between the receipt of industry payments and physicians’ opioid prescribing rate in the US, we demonstrated Monte Carlo simulation to investigate the extent to which the bias due to unmeasured confounders is amplified by adjusting for (near-)IV across several g-computation algorithms. Results In our simulation study, adjusting for a perfect IV of time-varying treatments in the g-computation algorithm increased bias due to unmeasured confounding, particularly when the IV had a strong relationship with the treatment. We also found the increase in bias even adjusting for near-IV when such variable had a very weak association with unmeasured confounders between the treatment and the outcome compared to its association with the time-varying treatments. Instead, this bias amplifying feature was not observed (i.e., bias due to unmeasured confounders decreased) by adjusting for near-IV when it had a stronger association with the unmeasured confounders (≥0.1 correlation coefficient in our multivariate normal setting). Conclusion It would be recommended to avoid adjusting for perfect IV in the g-computation algorithm to obtain a less biased estimate of the time-varying treatment effect. On the other hand, it may be ...
    Keywords G-computation ; Bias amplification ; Open payments ; Medicare beneficiaries ; Opioids ; Monte Carlo simulation ; Medicine (General) ; R5-920
    Subject code 518
    Language English
    Publishing date 2022-04-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Roles of participation in social activities in the association between adverse childhood experiences and health among older Japanese adults

    Marisa Nishio / Michael Green / Naoki Kondo

    SSM: Population Health, Vol 17, Iss , Pp 101000- (2022)

    2022  

    Abstract: Adverse childhood experiences (ACEs) have shown strong associations with later-life health such as depression and subjective health. Social participation is also associated with later-life health but it is unclear to what extent this could contribute to ... ...

    Abstract Adverse childhood experiences (ACEs) have shown strong associations with later-life health such as depression and subjective health. Social participation is also associated with later-life health but it is unclear to what extent this could contribute to alleviating harmful impacts of ACEs, nor is it clear whether ACEs are themselves associated with later-life social participation. Thus, this study aims to understand: (1) the influence of ACEs on social participation in later life and (2) whether social participation can alleviate the harmful influences of ACEs on depression and subjective health among Japanese older adults. Data were from 5,671 Japanese older adults (aged 65+) in surveys in 2013 and 2016 as part of the Japan Gerontological Evaluation Study (JAGES). Logistic regression analyses were conducted to estimate the relations between ACEs and later-life social participation, adjusting for potential confounders and mediators. Inverse probability weighting was used to estimate average effects of ACEs on later-depression and subjective health, adjusting for potential confounders, and these were compared against controlled direct effect (CDE) estimates from marginal structural models based on all respondents experiencing weekly social participation. We found that ACEs were associated with reduced later-life social participation (OR for >1 ACEs = 0.88, 95% CI = 0.79, 0.99). The estimated effect of ACEs on depression ( adjusted total effect estimates: OR = 1.23, 95% CI = 1.05, 1.45) was marginally alleviated in estimates assuming weekly social participation for everyone (CDE = 1.18, 95% CI = 0.98, 1.43). A similar tendency was seen for poor subjective heath. Negative impacts of ACEs on depression may be marginally mitigated through social participation, but mitigating effects were moderate. Further investigation on other potential later-life mitigating factors is needed.
    Keywords Social participation ; Adverse childhood experience ; Older adults ; Controlled direct effect ; Depression ; Subjective health ; Public aspects of medicine ; RA1-1270 ; Social sciences (General) ; H1-99
    Subject code 300
    Language English
    Publishing date 2022-03-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Parental Working Hours and Children’s Sedentary Time

    Naoko Hatakeyama / Masamitsu Kamada / Naoki Kondo

    Journal of Epidemiology, Vol 32, Iss 1, Pp 4-

    A Cross-sectional Analysis of the J-SHINE

    2022  Volume 11

    Abstract: Background: Sedentary behaviors are prevalent among children and can have a detrimental effect on their health. Little is known about the influence of parental time on children’s sedentary behavior. This study examined the association between parental ... ...

    Abstract Background: Sedentary behaviors are prevalent among children and can have a detrimental effect on their health. Little is known about the influence of parental time on children’s sedentary behavior. This study examined the association between parental working hours and children’s sedentary time. Methods: Cross-sectional data were drawn from the Japanese Study on Stratification, Health, Income, and Neighborhood (J-SHINE) in 2010 and 2011. Participants were 886 children aged 7–18 years and their parents. The primary outcome was self-reported sedentary time after school that comprised screen time and non-screen time. The main explanatory variable was parental working hours. We used multiple regression analysis adjusting for sociodemographic factors. Results: Children’s mean sedentary time was 222 (standard deviation [SD], 123) min/day; 144 (SD, 108) min/day screen time and 78 (SD, 65) min/day non-screen time. Children whose mothers worked ≥20 hours/week had 28 (95% CI, 9 to 48) min/day longer sedentary time than children of homemakers (240 min/day vs 214 min/day). The longer maternal working hours, the longer sedentary time (P for trend <0.01). In contrast, children whose fathers worked ≥48 hours/week had 82 (95% CI, −156 to −7) min/day shorter sedentary time than children of non-working fathers (179 min/day vs 264 min/day). When limited to children whose fathers worked, there was no statistically significant association between children’s sedentary time and paternal working hours. Conclusions: Children with mothers who work long hours or fathers not working tend to sit more. Supplementing the shortages in resources for childcare may be necessary among those families.
    Keywords sitting time ; adolescents ; determinants ; Medicine (General) ; R5-920
    Subject code 331
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Japan Epidemiological Association
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Risk profiles of frequent outpatients among public assistance recipients in Japan

    Naoki Kondo / Shiho Kino / Daisuke Nishioka / Keiko Ueno

    BMJ Open, Vol 12, Iss

    a retrospective cohort study using a classification and regression trees algorithm

    2022  Volume 5

    Keywords Medicine ; R
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher BMJ Publishing Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Complex Multimorbidity and Working beyond Retirement Age in Japan

    Daisuke Kato / Ichiro Kawachi / Naoki Kondo

    International Journal of Environmental Research and Public Health, Vol 19, Iss 6553, p

    A Prospective Propensity-Matched Analysis

    2022  Volume 6553

    Abstract: Background: With the aging of populations worldwide, the extension of people’s working lives has become a crucial policy issue. The aim of this study is to assess the impact of complex multimorbidity (CMM) as a predictor of working status among ... ...

    Abstract Background: With the aging of populations worldwide, the extension of people’s working lives has become a crucial policy issue. The aim of this study is to assess the impact of complex multimorbidity (CMM) as a predictor of working status among retirement-aged adults in Japan. Methods: Using a nationwide longitudinal cohort study of people aged over 65 who were free of documented disability at baseline, we matched individuals with respect to their propensity to develop CMM. The primary outcome of the study was working status after the six-year follow-up. Results: Among 5613 older adults (mean age: 74.2 years) included in the study, 726 had CMM and 2211 were still working at the end of the follow-up. In propensity-matched analyses, the employment rate was 6.4% higher in the CMM-free group at the end of the six-year follow-up compared to the CMM group (725 pairs; 29.5% vs. 35.9%; p = 0.012). Logistic regression analysis showed that CMM prevented older people from continuing to work beyond retirement age and was a more important factor than socioeconomic factors (income or educational attainment) or psychological factors (depressive symptoms or purpose in life). Conclusions: Our study found that CMM has an adverse impact on the employment rate of older adults in Japan. This finding suggests that providing appropriate support to CMM patients may extend their working lives.
    Keywords multimorbidity ; complex multimorbidity ; employment ; Medicine ; R
    Subject code 950
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Characteristics associated with optimistic or pessimistic perception about the probability of contracting COVID-19

    Yuta Takemura / Koryu Sato / Katsunori Kondo / Naoki Kondo

    SSM: Population Health, Vol 19, Iss , Pp 101186- (2022)

    A cross-sectional study of Japanese older adults

    2022  

    Abstract: Introduction: Excessive optimistic perception about the probability of acquiring coronavirus disease (COVID-19) may hinder people from exercising preventive measures, whereas excessive pessimistic perception can induce psychological problems. Not much ... ...

    Abstract Introduction: Excessive optimistic perception about the probability of acquiring coronavirus disease (COVID-19) may hinder people from exercising preventive measures, whereas excessive pessimistic perception can induce psychological problems. Not much focus has been paid to this topic, and prior studies are only online surveys. We determined the characteristics of older adults with optimistic and pessimistic perceptions of the probability of contracting COVID-19. Methods: We used data from the Japan Gerontological Evaluation Study (JAGES), including 18,045 participants aged ≥ 65 years (mean age: 75.7 years) who were physically and cognitively independent. Self-reported questionnaires were sent to 11 municipalities between November 2020 and February 2021. Multinomial logistic regression was used for data analysis. Results: The characteristics of 1,596 (8.8%) participants with optimistic perception and 1,276 (7.1%) with pessimistic perception were compared with that of others (80.4%) with moderate perception. Optimism about infection probability was positively associated with older age; better perceived financial conditions but negatively associated with higher education level; trust in TV news programs, TV information programs, and government-issued newsletters; depressive symptoms; and higher levels of reciprocity. Pessimism was negatively associated with higher levels of social cohesion. In contrast, it was positively associated with engagement in paid work; trust in TV news programs, the Internet, and information from medical staff; and depressive symptoms. Conclusion: Optimistic and pessimistic perceptions about the probability of acquiring infection correlated differently with various characteristics. Thus, risk communication during a pandemic should be tailored based on specific individual characteristics.
    Keywords Optimism ; Pessimism ; COVID-19 ; Risk communication ; Japanese older adults ; Public aspects of medicine ; RA1-1270 ; Social sciences (General) ; H1-99
    Subject code 150
    Language English
    Publishing date 2022-09-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Cytokine Networks in the Pathogenesis of Rheumatoid Arthritis

    Naoki Kondo / Takeshi Kuroda / Daisuke Kobayashi

    International Journal of Molecular Sciences, Vol 22, Iss 10922, p

    2021  Volume 10922

    Abstract: Rheumatoid arthritis (RA) is an autoimmune disease characterized by chronic systemic inflammation causing progressive joint damage that can lead to lifelong disability. The pathogenesis of RA involves a complex network of various cytokines and cells that ...

    Abstract Rheumatoid arthritis (RA) is an autoimmune disease characterized by chronic systemic inflammation causing progressive joint damage that can lead to lifelong disability. The pathogenesis of RA involves a complex network of various cytokines and cells that trigger synovial cell proliferation and cause damage to both cartilage and bone. Involvement of the cytokines tumor necrosis factor (TNF)-α and interleukin (IL)-6 is central to the pathogenesis of RA, but recent research has revealed that other cytokines such as IL-7, IL-17, IL-21, IL-23, granulocyte macrophage colony-stimulating factor (GM-CSF), IL-1β, IL-18, IL-33, and IL-2 also play a role. Clarification of RA pathology has led to the development of therapeutic agents such as biological disease-modifying anti-rheumatic drugs (DMARDs) and Janus kinase (JAK) inhibitors, and further details of the immunological background to RA are emerging. This review covers existing knowledge regarding the roles of cytokines, related immune cells and the immune system in RA, manipulation of which may offer the potential for even safer and more effective treatments in the future.
    Keywords rheumatoid arthritis ; TNF-α ; IL-6 ; IL-7 ; IL-17 ; IL-21 ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Subject code 610
    Language English
    Publishing date 2021-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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