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Ishihara K, Kitajima T, Ota A, Yatsuya H, Iwata N. Association between eveningness and depressive symptoms in daytime workers: A cross-sectional analysis of the Aichi Workers' Cohort Study. FUJITA MEDICAL JOURNAL 2025; 11:64-69. [PMID: 40309001 PMCID: PMC12040487 DOI: 10.20407/fmj.2024-021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Accepted: 09/12/2024] [Indexed: 05/02/2025]
Abstract
Objectives Eveningness (evening preference in chronotype) has been reported to be associated with a number of psychiatric problems. We examined a cross-sectional association between eveningness and depressive symptoms in daytime workers. Methods The subjects were 4410 civil servants (71.7% male, aged 18-69 years [mean, 43.5 years]) with no history of depressive disorder who did not perform shift work, and for whom there were no missing data. The association between eveningness, determined using the reduced Morningness-Eveningness Questionnaire, and depressive symptoms, determined using the shorter form of the Central Epidemiological Studies Depression scale, was assessed with logistic regression analysis adjusted for potential confounding factors (gender, income, living alone, breakfast intake, coffee consumption, drinking habits, exercise, smoking, working hours, sleep duration, and difficulty falling asleep). Results Of the subjects, 529 (12.0%) had eveningness, and 1408 (31.9%) reported depressive symptoms. Depressive symptoms were reported more frequently by those with eveningness than by those with other chronotypes (57.3% vs 28.5%). The association between eveningness and depression (gender- and age-adjusted odds ratio, 3.27; 95% confidence interval, 2.71-3.95) was significant after adjustment for the other confounding factors (odds ratio, 2.40; 95% confidence interval, 1.96-2.95). Conclusions Our results suggest that eveningness is associated with depressive symptoms among day workers and that this association is independent of potential confounding factors. Further longitudinal studies are needed to examine the causal relationship.
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Affiliation(s)
- Kazuhito Ishihara
- Department of Psychiatry, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Tsuyoshi Kitajima
- Department of Psychiatry, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Atsuhiko Ota
- Department of Public Health, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
| | - Hiroshi Yatsuya
- Department of Public Health and Health System, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Nakao Iwata
- Department of Psychiatry, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan
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Munekawa C, Horiguchi G, Naito A, Hamaguchi M, Kurogi K, Murata H, Ito M, Obora A, Kojima T, Okada H, Teramukai S, Fukui M. Development of a Prediction Model for Predicting 10-year Incidence of Type 2 Diabetes in Japanese People; Panasonic Cohort Study 7. Diabetes Metab Res Rev 2025; 41:e70040. [PMID: 40099926 DOI: 10.1002/dmrr.70040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 01/20/2025] [Accepted: 03/04/2025] [Indexed: 03/20/2025]
Abstract
AIMS In Japan, several prediction models and scoring systems for type 2 diabetes have been reported; however, none have high utility. We developed a new clinical prediction model for the onset of type 2 diabetes. MATERIALS AND METHODS The development dataset was obtained from 72,124 Japanese employees who participated in a health check-up programme conducted by Panasonic Corporation (Osaka, Japan), were aged 40 years or older, were diabetes-free at baseline, and followed-up for up to 10 years. The external validation dataset was obtained from 12,885 participants of the NAGALA (Gifu City, Gifu Prefecture Longitudinal Analysis) cohort. A prediction model was developed to predict the 10-year risk of developing diabetes using information from the health checkup programme. The developed model was internally validated, and externally validated using the NAGALA cohort. RESULTS Using information on age, sex, body mass index, systolic blood pressure, log-triglycerides, high-density lipoprotein, log-alanine aminotransferase, fasting plasma glucose, weight gain, and smoking status obtained from a health checkup programme, we developed a novel, highly sensitive, and specific model for predicting the 10-year risk of developing diabetes. The prediction model showed excellent performance, with an optimism-corrected c-index of 0.877 and a c-index of 0.882 in the external validation cohort. CONCLUSION We developed a noninvasive diabetes risk-prediction model for the Japanese population and confirmed its utility for identifying individuals at high risk of type 2 diabetes over time.
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Affiliation(s)
- Chihiro Munekawa
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Go Horiguchi
- Department of Biostatistics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Akari Naito
- The Clinical and Translational Research Center, University Hospital, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Masahide Hamaguchi
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Kazushiro Kurogi
- Department of Health Care Center, Panasonic Health Insurance Organisation, Moriguchi, Japan
| | - Hiroaki Murata
- Department of Orthopaedic Surgery, Matsushita Memorial Hospital, Moriguchi, Japan
| | - Masato Ito
- Department of Health Care Center, Panasonic Health Insurance Organisation, Moriguchi, Japan
| | - Akihiro Obora
- Department of Gastroenterology, Asahi University Hospital, Gifu, Japan
| | - Takao Kojima
- Department of Gastroenterology, Asahi University Hospital, Gifu, Japan
| | - Hiroshi Okada
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
- Department of Diabetes and Endocrinology, Matsushita Memorial Hospital, Moriguchi, Japan
| | - Satoshi Teramukai
- Department of Biostatistics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Michiaki Fukui
- Department of Endocrinology and Metabolism, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
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Takahashi M, Mutsuzaki H, Iwamoto K, Fukaya T, Igawa T, Tomita K, Miyauchi Y. Influence of palmar tilt on wrist palmar flexion range-of-motion limitation after conservative treatment of distal radial fractures. Ann Med 2024; 56:2418340. [PMID: 39561085 DOI: 10.1080/07853890.2024.2418340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 10/07/2024] [Accepted: 10/08/2024] [Indexed: 11/21/2024] Open
Abstract
BACKGROUND Distal radial fractures are common forearm injuries. A key rehabilitation objective is achieving adequate wrist palmar and dorsal flexion range-of-motion (ROM). However, few studies have explored this relationship, with even lesser number of studies investigating the impact of distal radius alignment on wrist ROM limitation due to fractures. We aimed to determine the effect of radial alignment on wrist palmar and dorsal flexion ROM after conservative treatment for distal radial fractures. PATIENTS AND METHODS This retrospective, cohort study, included 82 patients with distal radial fractures (11 men, 71 women, mean age: 65.9 ± 16.6 years) who underwent examination at an orthopedic clinic. Wrist ROM limitation was defined as ˂60° of dorsal flexion and ˂55° of palmar flexion. The palmar tilt (PT), radial length (RL), and radial inclination (RI) were radiographically measured. The patient's age, residual symptoms, and rehabilitation period were extracted from medical records. Univariate and multivariate analyses were conducted with the presence/absence of wrist ROM limitation as the objective variable, with the PT, RL, and RI as explanatory variables. A comparison of age, and rehabilitation period between the groups with and without wrist ROM limitation was performed using the Mann-Whitney U test. The presence/absence of residual symptoms were compared between two groups using the chi-squared test. RESULTS Univariate analysis revealed that PT, RL and RI were associated with palmar flexion ROM limitation. Multivariate analysis showed that PT was the only factor associated with palmar flexion ROM limitation (odds ratio: 0.85, 95% confidence interval: 0.78-0.91, p < 0.001), while dorsal flexion ROM limitation was not associated with any of the three measurements. The group with palmar flexion ROM limitation presented older age (73.1 vs. 59.6 years), higher residual symptom frequency (23 vs. 12 patients), and longer rehabilitation period (159.2 vs. 73.9 days) compared to the group without the limitation (p < 0.01). CONCLUSION Dorsal displacement of the distal radius induces alterations in the wrist joint motion axis, potentially affecting limitation in palmar flexion ROM. Patients with palmar flexion ROM limitation had more residual symptoms and longer rehabilitation period than those without. These findings may contribute to the development of evidence-based joint ROM exercises, risk management, goal setting, and rehabilitation programs for patients with distal radial fractures.
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Affiliation(s)
- Makoto Takahashi
- Department of Physical Therapy, School of Health Sciences, Japan University of Health Sciences, Saitama, Japan
- Department of Rehabilitation, Hitachino Orthopedic Clinic, Ibaraki, Japan
| | - Hirotaka Mutsuzaki
- Center for Medical Sciences, Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan
| | - Koji Iwamoto
- Department of Physical Therapy, School of Rehabilitation, Tokyo Professional University of Health Sciences, Tokyo, Japan
| | - Takashi Fukaya
- Department of Physical Therapy, Faculty of Health Sciences, Tsukuba International University, Ibaraki, Japan
| | - Takeshi Igawa
- Department of Rehabilitation, Hitachino Orthopedic Clinic, Ibaraki, Japan
| | - Kazuhide Tomita
- Department of Physical Therapy, Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan
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Takahashi M, Mutsuzaki H, Iwamoto K, Monma M, Tomita K, Mizukami M. Morphologic changes in the posterior glenoid rim is independently associated with rotator cuff impingement in baseball players. Heliyon 2024; 10:e33064. [PMID: 39035492 PMCID: PMC11259791 DOI: 10.1016/j.heliyon.2024.e33064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 06/12/2024] [Accepted: 06/13/2024] [Indexed: 07/23/2024] Open
Abstract
Background The morphological changes in the posterior glenoid rim are unknown in relation to the area of rotator cuff tendons pinched within the glenohumeral joint in the throwing shoulders of baseball players. Therefore, this study aimed to clarify whether these changes are associated with the area of impingement in baseball players. Methods Overall, 25 asymptomatic male college baseball players (average age19.8 years, 11.6 years of competing, and 50 shoulders) participated in this study. The area of impingement (AOI, mm2) and posterior glenohumeral distance (PGHD, mm) were measured using magnetic resonance imaging to quantitatively assess the impingement area of the rotator cuff tendon within the glenohumeral joint and the morphologic change in the posterior glenoid rim. These magnetic resonance imaging assessments were measured at 90° shoulder abduction with 90° and 100° external rotation. Multiple linear regression analysis was performed to determine whether AOI is predicted by PGHD. Findings Multiple linear regression analysis showed that the PGHD was a predictor of the AOI at external rotation 90° (β-coefficient = 0.738, R2 = 0.77, P < 0.001) and external rotation 100° position (β-coefficient = 0.879, R2 = 0.76, P < 0.001). Interpretation This study found that the area of impingement was associated with posterior glenohumeral distance. Therefore, these findings may indicate that complex shoulder joint morphologic changes result in a disabled throwing shoulder.
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Affiliation(s)
- Makoto Takahashi
- Department of Physical Therapy, School of Health Sciences, Japan University of Health Sciences, 2-555, Hirasuka, Satte-shi, Saitama, 340-0145, Japan
- Department of Rehabilitation, Hitachino Orthopedic Clinic: 3-2-1 Hitachino Higashi, Ushiku-shi, Ibaraki, 300-1207, Japan
| | - Hirotaka Mutsuzaki
- Center for Medical Sciences, Ibaraki Prefectural University of Health Sciences, 4669-2 Ami, Inashikigun-Ami-machi, Ibaraki, 300-0394, Japan
- Department of Orthopaedic Surgery, Ibaraki Prefectural University of Health Sciences Hospital, 4773 Ami, Inashikigun -Ami -machi, Ibaraki, 300 -0331, Japan
| | - Koji Iwamoto
- Department of Physical Therapy, School of Rehabilitation, Tokyo Professional University of Health Sciences, 22-10, Shiohama 2-chome, Koto-ku, Tokyo, 135-0043, Japan
| | - Masahiko Monma
- Department of Radiological Sciences, Ibaraki Prefectural University of Health Sciences, 4669-2 Ami, Inashikigun-Ami-machi, Ibaraki, 300-0394, Japan
| | - Kazuhide Tomita
- Graduate School of Health Science, Ibaraki Prefectural University of Health Sciences, 4669-2 Ami, Inashikigun-Ami-machi, Ibaraki, 300-0394, Japan
| | - Masafumi Mizukami
- Graduate School of Health Science, Ibaraki Prefectural University of Health Sciences, 4669-2 Ami, Inashikigun-Ami-machi, Ibaraki, 300-0394, Japan
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Ogi M, Seto T, Wakabayashi Y. A comparison of the utility of the urine dipstick and urine protein-to-creatinine ratio for predicting microalbuminuria in patients with non-diabetic lifestyle-related diseases -a comparison with diabetes. BMC Nephrol 2022; 23:377. [PMID: 36434544 PMCID: PMC9700904 DOI: 10.1186/s12882-022-02974-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 10/16/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND The utility of dipstick proteinuria for predicting microalbuminuria in non-diabetic lifestyle-related diseases compared with the urine protein-to-creatinine ratio (uPCR) and the effect of dipstick proteinuria on the cut-off value (CO) and accuracy of uPCR are unclear. METHODS The subjects included Japanese patients ≥ 18 years old with lifestyle-related diseases who had an estimated glomerular filtration rate of ≥ 15 ml/min/1.73 m2 and uPCR of < 0.5 g/gCr at initiation. Urine dipstick, uPCR and urine albumin-to-creatinine ratio (uACR) were measured three times per case. Microalbuminuria was defined as uACR of 30-299 mg/gCr for at least 2 of 3 measurements. Youden's Index was used as the optimal CO. Factors associated with microalbuminuria were analyzed using a logistic regression model. RESULTS In 313 non-diabetic cases (median 70.8 years old), 3 dipstick proteinuria measurements were independently useful for detecting microalbuminuria, and the CO was set when a trace finding was obtained at least 1 of 3 times (sensitivity 0.56, specificity 0.80, positive predictive value [PPV] 0.73, negative predictive value [NPV] 0.65). A single uPCR measurement was more useful than 3 dipstick measurements, and was useful for detecting microalbuminuria even in cases with three consecutive negative proteinuria findings, indicating that the CO of the second uPCR with G1-3a (n = 136) was 0.06 g/gCr (sensitivity 0.76, specificity 0.84. PPV 0.68, NPV 0.89), while that with G3-b4 (n = 59) was 0.10 g/gCr (sensitivity 0.56, specificity 0.91. PPV 0.83, NPV 0.71). The sum of 3 uPCRs was useful for detecting microalbuminuria in cases with G1-3a (sensitivity 0.67, specificity 0.94, PPV 0.82, NPV 0.86) and G3b-4 (sensitivity 0.78, specificity 0.94, PPV 0.91 NPV 0.83), with both COs being 0.23 g/gCr. These COs of microalbuminuria did not change when trace or more proteinuria was included, although the sensitivity increased. A high uPCR and low urine specific gravity or creatinine level were independent factors for uACR ≥ 30 mg/gCr in cases with negative proteinuria, although the uPCR was a major predictive factor of a uACR ≥ 30 mg/gCr. CONCLUSIONS The uPCR (preferably determined using early-morning urine), including in dipstick-negative proteinuria cases with non-diabetic lifestyle-related diseases, can aid in the early detection of microalbuminuria. TRIAL REGISTRATION Retrospectively registered.
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Affiliation(s)
- Makoto Ogi
- Department of Internal Medicine, Yuurinkouseikai Fuji Hospital, 1784 Niihashi, Gotemba, Shizuoka 412-0043 Japan
| | - Takuya Seto
- Department of Internal Medicine, Yuurinkouseikai Fuji Hospital, 1784 Niihashi, Gotemba, Shizuoka 412-0043 Japan
| | - Yoshinori Wakabayashi
- Department of Internal Medicine, Yuurinkouseikai Fuji Hospital, 1784 Niihashi, Gotemba, Shizuoka 412-0043 Japan
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Xu S, Coleman RL, Wan Q, Gu Y, Meng G, Song K, Shi Z, Xie Q, Tuomilehto J, Holman RR, Niu K, Tong N. Risk prediction models for incident type 2 diabetes in Chinese people with intermediate hyperglycemia: a systematic literature review and external validation study. Cardiovasc Diabetol 2022; 21:182. [PMID: 36100925 PMCID: PMC9472437 DOI: 10.1186/s12933-022-01622-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 09/07/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND People with intermediate hyperglycemia (IH), including impaired fasting glucose and/or impaired glucose tolerance, are at higher risk of developing type 2 diabetes (T2D) than those with normoglycemia. We aimed to evaluate the performance of published T2D risk prediction models in Chinese people with IH to inform them about the choice of primary diabetes prevention measures. METHODS A systematic literature search was conducted to identify Asian-derived T2D risk prediction models, which were eligible if they were built on a prospective cohort of Asian adults without diabetes at baseline and utilized routinely-available variables to predict future risk of T2D. These Asian-derived and five prespecified non-Asian derived T2D risk prediction models were divided into BASIC (clinical variables only) and EXTENDED (plus laboratory variables) versions, with validation performed on them in three prospective Chinese IH cohorts: ACE (n = 3241), Luzhou (n = 1333), and TCLSIH (n = 1702). Model performance was assessed in terms of discrimination (C-statistic) and calibration (Hosmer-Lemeshow test). RESULTS Forty-four Asian and five non-Asian studies comprising 21 BASIC and 46 EXTENDED T2D risk prediction models for validation were identified. The majority were at high (n = 43, 87.8%) or unclear (n = 3, 6.1%) risk of bias, while only three studies (6.1%) were scored at low risk of bias. BASIC models showed poor-to-moderate discrimination with C-statistics 0.52-0.60, 0.50-0.59, and 0.50-0.64 in the ACE, Luzhou, and TCLSIH cohorts respectively. EXTENDED models showed poor-to-acceptable discrimination with C-statistics 0.54-0.73, 0.52-0.67, and 0.59-0.78 respectively. Fifteen BASIC and 40 EXTENDED models showed poor calibration (P < 0.05), overpredicting or underestimating the observed diabetes risk. Most recalibrated models showed improved calibration but modestly-to-severely overestimated diabetes risk in the three cohorts. The NAVIGATOR model showed the best discrimination in the three cohorts but had poor calibration (P < 0.05). CONCLUSIONS In Chinese people with IH, previously published BASIC models to predict T2D did not exhibit good discrimination or calibration. Several EXTENDED models performed better, but a robust Chinese T2D risk prediction tool in people with IH remains a major unmet need.
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Affiliation(s)
- Shishi Xu
- Division of Endocrinology and Metabolism, Center for Diabetes and Metabolism Research, Laboratory of Diabetes and Islet Transplantation Research, West China Medical School, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Diabetes Trials Unit, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Ruth L Coleman
- Diabetes Trials Unit, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Qin Wan
- Department of Endocrine and Metabolic Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yeqing Gu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Ge Meng
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Zumin Shi
- Human Nutrition Department, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Qian Xie
- Department of General Practice, People's Hospital of LeShan, LeShan, China
| | - Jaakko Tuomilehto
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Rury R Holman
- Diabetes Trials Unit, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Kaijun Niu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
| | - Nanwei Tong
- Division of Endocrinology and Metabolism, Center for Diabetes and Metabolism Research, Laboratory of Diabetes and Islet Transplantation Research, West China Medical School, West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China.
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Takahashi M, Iwamoto K, Tomita K, Ueda S, Igawa T, Miyauchi Y. Factors associated with spinal instability in low back lumbar diseases with leg pain: Analysis of sagittal translation and segmental angulation. J Back Musculoskelet Rehabil 2022; 36:437-444. [PMID: 36120768 DOI: 10.3233/bmr-220067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
BACKGROUND Determining the association between radiographic spinal instability assessment and lower back lumbar diseases with lower limb symptoms can contribute to evidence-based assessment and treatment in clinical practice and rehabilitation. Therefore, radiological evidence of lumbar spine instability assessment, such as sagittal translation (ST) and segmental angulation (SA), is clinically important. OBJECTIVE To identify factors associated with the assessment of spinal instability in lumbar disc herniation with leg pain and discogenic low back pain using ST and SA. METHODS We examined 112 patients with lumbar disc herniation with leg pain and 116 with discogenic low back pain at our clinic from 2016 to 2021. Data on age, gender, sports activities, and occupation were collected from medical records. Additionally, ST and SA of L4 and L5 during maximum trunk flexion and extension were measured using radiography. Simple and multiple logistic regression analyses were used for statistical analysis. RESULTS Simple logistic regression analysis showed that ST and SA (odds ratio [OR]: 1.11; 95% confidence interval [CI]: 1.03-1.19) were associated with lumbar disc herniation. Multiple logistic regression analysis showed that only ST was associated with lumbar disc herniation (OR: 2.29; 95% CI: 1.78-3.00). CONCLUSION Multiple logistic regression analysis showed that ST was associated with lumbar disc herniation with leg pain and had a stronger association than SA.
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Affiliation(s)
- Makoto Takahashi
- Department of Physical Therapy, School of Health Sciences, Japan University of Health Sciences, Saitama, Japan.,Department of Rehabilitation, Hitachino Orthopedic Clinic, Ibaraki, Japan
| | - Koji Iwamoto
- Department of Physical Therapy, School of Rehabilitation, Tokyo Professional University of Health Sciences, Tokyo, Japan
| | - Kazuhide Tomita
- Department of Physical Therapy, Ibaraki Prefectural University of Health Sciences, Ibaraki, Japan
| | - Shinji Ueda
- Department of Rehabilitation, Hitachino Orthopedic Clinic, Ibaraki, Japan
| | - Takeshi Igawa
- Department of Rehabilitation, Hitachino Orthopedic Clinic, Ibaraki, Japan
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Tran Quang B, Pham Tran P, Nguyen Thanh C, Bui Thi N, Do Dinh T, Tran Quang T, Duong Tuan L, Bui Thi Thuy N, Nguyen Anh N. High incidence of type 2 diabetes in a population with normal range body mass index and individual prediction nomogram in Vietnam. Diabet Med 2022; 39:e14680. [PMID: 34449919 DOI: 10.1111/dme.14680] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 08/11/2021] [Accepted: 08/25/2021] [Indexed: 11/28/2022]
Abstract
AIMS The study aimed at determining 5-year incidence and prediction nomogram for new-onset type 2 diabetes (T2D) in a middle-aged population in Vietnam. METHODS A population-based prospective study was designed to collect socio-economic, anthropometric, lifestyle and clinical data. Five-year T2D incidence was estimated and adjusted for age and sex. Hazard ratio (HR) for T2D was investigated using discrete-time proportional hazards model. T2D prediction model entering the most significant risk factors was developed using the multivariable logistic-regression algorithm. The corresponding prediction nomogram was constructed and checked for discrimination, calibration and clinical usefulness. RESULTS The age- and sex-adjusted incidence was 21.0 cases (95% CI: 12.2-40.0) per 1000 person-years in people with mean BMI of 22.2 (95% CI: 21.9-22.7 kg/m2 ). The HRs (95% CI) for T2D were 1.14 (1.05-1.23) per 10 mmHg systolic blood pressure, 1.05 (1.03-1.08) per 1 cm waist circumference, 1.40 (1.13-1.73) per 1 mmol/L fasting blood glucose, 1.77 (1.15-2.71) per sleeping time (<6 h/day vs 6-7 h/day) and 2.12 (1.25-3.61) per residence (urban vs rural). The prediction nomogram for new-onset T2D had a good discrimination (area under curve: 0.711, 95% CI: 0.666-0.755) and fit calibration (mean absolute error: 0.009). For the predicted probability thresholds between 0.03 and 0.36, the nomogram showed a positive net benefit, without increasing the number of false positives. CONCLUSION This study highlighted an alarmingly high incidence of T2D in a middle-aged population with a normal range BMI in Vietnam. The individual prediction nomogram with decision curve analysis for new-onset T2D would be valuable for early detection, intervention and treatment of the condition.
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Affiliation(s)
- Binh Tran Quang
- National Institute of Nutrition, Hanoi, Vietnam
- National Institute of Hygiene and Epidemiology, Hanoi, Vietnam
- Dinh Tien Hoang Institute of Medicine, Hanoi, Vietnam
| | | | | | | | - Tung Do Dinh
- National Institute of Diabetes and Metabolic Disorders, Hanoi, Vietnam
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Asgari S, Khalili D, Hosseinpanah F, Hadaegh F. Prediction Models for Type 2 Diabetes Risk in the General Population: A Systematic Review of Observational Studies. Int J Endocrinol Metab 2021; 19:e109206. [PMID: 34567135 PMCID: PMC8453657 DOI: 10.5812/ijem.109206] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 02/07/2021] [Accepted: 02/13/2021] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVES This study aimed to provide an overview of prediction models of undiagnosed type 2 diabetes mellitus (U-T2DM) or the incident T2DM (I-T2DM) using the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) checklist and the prediction model risk of the bias assessment tool (PROBAST). DATA SOURCES Both PUBMED and EMBASE databases were searched to guarantee adequate and efficient coverage. STUDY SELECTION Articles published between December 2011 and October 2019 were considered. DATA EXTRACTION For each article, information on model development requirements, discrimination measures, calibration, overall performance, clinical usefulness, overfitting, and risk of bias (ROB) was reported. RESULTS The median (interquartile range; IQR) number of the 46 study populations for model development was 5711 (1971 - 27426) and 2457 (2060 - 6995) individuals for I-T2DM and U-T2DM, respectively. The most common reported predictors were age and body mass index, and only the Qrisk-2017 study included social factors (e.g., Townsend score). Univariable analysis was reported in 46% of the studies, and the variable selection procedure was not clear in 17.4% of them. Moreover, internal and external validation was reported in 43% the studies, while over 63% of them reported calibration. The median (IQR) of AUC for I-T2DM models was 0.78 (0.74 - 0.82); the corresponding value for studies derived before October 2011 was 0.80 (0.77 - 0.83). The highest discrimination index was reported for Qrisk-2017 with C-statistics of 0.89 for women and 0.87 for men. Low ROB for I-T2DM and U-T2DM was assessed at 18% and 41%, respectively. CONCLUSIONS Among prediction models, an intermediate to poor quality was reassessed in several aspects of model development and validation. Generally, despite its new risk factors or new methodological aspects, the newly developed model did not increase our capability in screening/predicting T2DM, mainly in the analysis part. It was due to the lack of external validation of the prediction models.
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Affiliation(s)
- Samaneh Asgari
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Davood Khalili
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farhad Hosseinpanah
- Obesity Research Center, Research Institute for Endocrine Sciences, Shaheed Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Corresponding Author: Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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10
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Narisada A, Shibata E, Hasegawa T, Masamura N, Taneda C, Suzuki K. Sex differences in the association between fatty liver and type 2 diabetes incidence in non-obese Japanese: A retrospective cohort study. J Diabetes Investig 2021; 12:1480-1489. [PMID: 33411970 PMCID: PMC8354510 DOI: 10.1111/jdi.13496] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 12/21/2020] [Accepted: 01/05/2021] [Indexed: 12/25/2022] Open
Abstract
Aims/Introduction Asians develop type 2 diabetes at a lower body mass index (BMI) compared with other races, which is partly because of Asian‐specific fat depots. Sex plays a role in fat deposition, regardless of race. This retrospective cohort study aimed to investigate the association among fatty liver, sex and type 2 diabetes in non‐obese Japanese. Materials and Methods The participants in this study (13,596 men and 6,037 women) were aged 30–64 years, and had undergone health checkups between 2013 and 2015, in Aichi, Japan. Baseline BMI was categorized as follows: <18.5, 18.5–19.9, 20–22.9, 23–24.9, 25–27.4 and ≥27.5 kg/m2. Fatty liver was diagnosed by abdominal ultrasonography. The joint effect of BMI and fatty liver on the incidence of type 2 diabetes was assessed, stratified by sex. Results During follow up, 738 men and 138 women developed type 2 diabetes. Compared with the BMI of 20–22.9 kg/m2 without fatty liver group, the BMI of 20–22.9 kg/m2 with fatty liver was associated with a higher risk of type 2 diabetes in men, but not in women. Furthermore, men with a BMI of 23–24.9 and 25–27.4 kg/m2 without fatty liver had no significant type 2 diabetes risk, whereas women with a BMI of 23–24.9 and 25–27.4 kg/m2, regardless of fatty liver, had an increased risk. Conclusions These results suggest the association between fatty liver and type 2 diabetes in non‐obese Asians is different by sex; fatty liver increases diabetes risk among male, not female, non‐obese Asians.
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Affiliation(s)
- Akihiko Narisada
- Institute for Occupational Health Science, Aichi Medical University, Nagakute, Japan
| | - Eiji Shibata
- Department of Health and Psychosocial Medicine, Aichi Medical University School of Medicine, Nagakute, Japan
| | - Tomomi Hasegawa
- Institute of Physical Fitness, Sports Medicine and Rehabilitation, Aichi Medical University, Nagakute, Japan
| | | | | | - Kohta Suzuki
- Institute for Occupational Health Science, Aichi Medical University, Nagakute, Japan.,Department of Health and Psychosocial Medicine, Aichi Medical University School of Medicine, Nagakute, Japan
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11
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Oh TJ, Moon JH, Choi SH, Cho YM, Park KS, Cho NH, Jang HC. Development of a clinical risk score for incident diabetes: A 10-year prospective cohort study. J Diabetes Investig 2020; 12:610-618. [PMID: 32750227 PMCID: PMC8015827 DOI: 10.1111/jdi.13382] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 07/28/2020] [Accepted: 07/29/2020] [Indexed: 01/07/2023] Open
Abstract
Aims/Introduction We developed a self‐assessable Korean Diabetes Risk score using the data of the Korean Genome and Epidemiology Study. Materials and Methods A total of 8,740 participants without diabetes at baseline were followed up biannually over a period of 10 years. We included variables that were significantly different between participants who developed diabetes mellitus and those who did not in the development cohort at baseline. We assigned a maximum score of 100 to the selected variable in each gender group. Next, the 10‐year probability of incident diabetes was calculated and validated in the validation cohort. Finally, we compared the predictive power of Korean Diabetes Risk score with models including fasting plasma glucose or glycated hemoglobin and other cohort models of Atherosclerosis Risk in Communities and Korea National Health and Nutrition Examination Survey. Results During a median follow‐up period of 9.7 years, 22.7% of the participants progressed to diabetes. The Korean Diabetes Risk score included age, living location (urban or rural area), waist circumference, hypertension, family history of diabetes and smoking history. The developed risk score yielded acceptable discrimination for incident diabetes (area under the curve 0.657) and the predictive power was improved when the model included fasting plasma glucose (area under the curve 0.690) or glycated hemoglobin (area under the curve 0.746). In addition, our model predicted incident diabetes more accurately than previous Western or Korean models. Conclusions This newly developed self‐assessable diabetes risk score is easily applicable to predict the future risk of diabetes even without the necessity for laboratory tests. This score is useful for the Korean diabetes prevention program, because high‐risk individuals can be easily screened.
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Affiliation(s)
- Tae Jung Oh
- Department of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, Seongnam, Korea
| | - Jae Hoon Moon
- Department of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, Seongnam, Korea
| | - Sung Hee Choi
- Department of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, Seongnam, Korea
| | - Young Min Cho
- Department of Internal Medicine, Seoul National University College of Medicine and Seoul National University Hospital, Seoul, Korea
| | - Kyong Soo Park
- Department of Internal Medicine, Seoul National University College of Medicine and Seoul National University Hospital, Seoul, Korea
| | - Nam H Cho
- Department of Preventive Medicine, Ajou University School of Medicine, Suwon, Korea
| | - Hak Chul Jang
- Department of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, Seongnam, Korea
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12
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Lee PN, Coombs KJ. Systematic review with meta-analysis of the epidemiological evidence relating smoking to type 2 diabetes. World J Meta-Anal 2020; 8:119-152. [DOI: 10.13105/wjma.v8.i2.119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 04/02/2020] [Accepted: 04/20/2020] [Indexed: 02/06/2023] Open
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Kubo K, Kamo T, Momosaki R, Mitsutomi K. Development of a Point System to Predict Discharge to Home for Acute Stroke Patients. PM R 2020; 13:38-44. [PMID: 32248651 DOI: 10.1002/pmrj.12371] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 02/25/2020] [Accepted: 03/20/2020] [Indexed: 11/06/2022]
Abstract
BACKGROUND While in an acute hospital setting, it is challenging for clinicians to make discharge decisions due to the multifactorial process and individual patient characteristics. OBJECTIVE To evaluate and develop a scoring system utilizing the Japan Rehabilitation Database (JRD) to identify acute stroke patients with a high possibility of discharge to home. DESIGN Retrospective observational cohort study. SETTING Thirty-seven acute hospitals in Japan. PARTICIPANTS A total of 10 270 patients admitted to the acute hospitals with stroke were identified. The inclusion criteria were (1) admission within 3 days of onset and (2) admission from home. Exclusion criteria were (1) incomplete data and (2) death in hospital. A total of 4216 patients were included in the study. INTERVENTION Not applicable. MAIN OUTCOME MEASUREMENTS Discharge destination from acute care hospital, that is, home versus other locations. RESULTS In the multivariate logistic regression, age, stroke type, Barthel Index on admission, modified Rankin scale on admission, the National Institutes of Health Stroke Scale on admission, and extent of paralysis were retained. When the cutoff point was 33, the scoring system showed a sensitivity of 80.4% and specificity of 80.3%. The area under curve (AUC) was 0.88. On evaluating the predictive performance, the model showed a sensitivity of 78.2% and a specificity of 78.5% with an AUC = 0.86. CONCLUSIONS We developed a point system to identify acute stroke patients with a high possibility of discharge to home using the JRD. This point system may provide useful information for clinicians to plan the discharge of acute stroke patients.
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Affiliation(s)
- Kosei Kubo
- Department of Rehabilitation Medicine, Iwata City Hospital, Iwata City, Japan
| | - Tomohiko Kamo
- Department of Physical Therapy, School of Health Sciences, Japan University of Health Sciences, Satte City, Japan
| | - Ryo Momosaki
- Department of Rehabilitation Medicine, Teikyo University School of Medicine Hospital Mizonokuchi, Kawasaki City, Japan
| | - Kazuhiko Mitsutomi
- Department of Rehabilitation Medicine, Iwata City Hospital, Iwata City, Japan
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14
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Han M. The Dose-Response Relationship between Alcohol Consumption and the Risk of Type 2 Diabetes among Asian Men: A Systematic Review and Meta-Analysis of Prospective Cohort Studies. J Diabetes Res 2020; 2020:1032049. [PMID: 32908932 PMCID: PMC7463364 DOI: 10.1155/2020/1032049] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/18/2020] [Accepted: 08/13/2020] [Indexed: 12/24/2022] Open
Abstract
The objective of this review was to provide a summary of the literature on the dose-response relationship between alcohol consumption and risk of type 2 diabetes (T2D) in Asian populations, particularly men. The present study was recorded in PROSPERO as CRD 42019121073. We searched the PubMed-Medline, Web of Science, and Cochrane Library for studies published in any language since the database inception to January 2019. Prospective cohort studies were included in the meta-analysis. Relative risks (RRs) and 95% confidence intervals (CIs) were calculated for random-effects models and dose-response meta-analyses. In total, 8 prospective cohort studies were included. High alcohol intake was significantly associated with increased risk of T2D (RR = 1.16, 95% CI: 1.04-1.29; Q statistic p = 0.326) compared to the lowest category of alcohol intake. Nonlinear association was observed between alcohol consumption and T2D risk in men (p = 0.003). Dose-wise, consuming ≤57 g/day of alcohol was not associated with the risk of T2D in this study; however, alcohol intake >57 g/day was associated with increased risk of T2D in men. Overall, the association between alcohol consumption and T2D among Asian men was J-shaped. Lifestyle recommendations for prevention of T2D should include advice on limiting alcohol intake. This trial is registered with Prospero registration: CRD 42019121073.
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Affiliation(s)
- Manman Han
- Suzhou Hospital Affiliated To Anhui Medical University, No. 299 Bianhe Middle Road, Suzhou, AnHui 234000, China
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