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Farkhani S, Payab M, Sharifi F, Sharifi Y, Mohammadi S, Shadman Z, Fahimfar N, Heshmat R, Hadizadeh A, Shafiee G, Nabipour I, Tavakoli F, Larijani B, Ebrahimpur M, Ostovar A. Association between pre-diabetes or diabetes and cognitive impairment in a community-dwelling older population: Bushehr Elderly Health (BEH) program. J Diabetes Metab Disord 2024; 23:639-646. [PMID: 38932839 PMCID: PMC11196454 DOI: 10.1007/s40200-023-01325-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 09/27/2023] [Indexed: 06/28/2024]
Abstract
Background Persistent uncontrolled hyperglycemia is recognized as one of the risk factors for cognitive disorders. Accordingly, both type 1 and type 2 diabetes may predispose individuals to cognitive impairment, particularly in cases where glycemic control is insufficient. The objective of this comprehensive study is to separately assess cognitive dysfunctions in diabetic and non-diabetic older adults. Methods This cross-sectional study is part of phase 2 of the Bushehr elderly health program (BEHP). Cognitive function was evaluated using the Mini-cog and categorical verbal fluency tests (CFTs). Patients were classified as non-diabetics, pre-diabetics, or diabetics based on the diagnostic criteria for diabetes mellitus (DM). To compare the means of the two groups, we utilized the t-test or the Mann-Whitney test. Additionally Multivariable logistic regression models were used to determine the association between pre-diabetes or DM and cognitive impairment. Results Out of 1533 participants, 693 (45.2%) were identified as having cognitive impairment. The average hemoglobin A1C was higher in participants with cognitive impairment compared to those without cognitive impairment. (5.8 ± 1.6% vs. 5.5 ± 1.4%, P = 0.004). Furthermore, the mean blood glucose levels were found to be more elevated in cases of cognitive impairment (108.0 ± 47.4 mg/dL vs. 102.1 ± 0.35 mg/dL, P = 0.002). After adjusting for age, gender, body mass index (BMI), waist circumference, amount of physical activity, and smoking, the multivariable logistic regression model, declared an association between diabetes and cognitive impairment (OR = 1.48, P = 0.003). In addition, older patients, females, widows, and individuals with elevated LDL-Cs and those with high blood pressure were found to be more vulnerable to cognitive impairment. Conclusion The Bushehr Elderly Health Program (BEHP) study revealed that individuals affected with cognitive impairment may exhibit higher levels of HbA1c. This suggests a positive correlation between elevated HbA1c and cognitive impairment.
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Affiliation(s)
- Sara Farkhani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Moloud Payab
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Farshad Sharifi
- Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Yasaman Sharifi
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Department of Radiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Sammy Mohammadi
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Zhaleh Shadman
- Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Noushin Fahimfar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Ramin Heshmat
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Hadizadeh
- Research Center for Advanced Technologies in Cardiovascular Medicine, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Gita Shafiee
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Iraj Nabipour
- The Persian Gulf Marine Biotechnology Research Center, The Persian Gulf Biomedical Sciences Research Institute, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Farnaz Tavakoli
- Nephrology and Kidney Transplant Ward, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahbube Ebrahimpur
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Afshin Ostovar
- Osteoporosis Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Wang Y, Zhang Y, Guo T, Han J, Fu G. Knowledge level and health information-seeking behavior of people with diabetes in rural areas: a multicenter cross-sectional study. Front Public Health 2024; 12:1285114. [PMID: 38751583 PMCID: PMC11094202 DOI: 10.3389/fpubh.2024.1285114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 04/10/2024] [Indexed: 05/18/2024] Open
Abstract
Introduction There is a lack of research on the current level of diabetes knowledge and health information-seeking behaviors among patients with diabetes in rural areas of China's economically underdeveloped regions during COVID-19, as well as a lack of up-to-date evidence on glycemic control and the incidence of complications among rural patients with diabetes. Objectives To investigate the prevalence of glycemic control and complications among patients with diabetes in rural areas, to explore the current status and correlation of diabetes knowledge level and health information-seeking behavior, and to analyze the factors affecting diabetes knowledge level. Methods From January 2022 to July 2022, we conducted a screening on diabetic complications and a questionnaire survey among 2,178 patients with diabetes in 15 county hospitals in rural areas of Guangxi Zhuang Autonomous Region. The patients' knowledge level and health information-seeking behavior were investigated. Spearman correlation analysis was used to assess the correlation between diabetes knowledge and health information-seeking behavior. Multiple linear regression analysis was used to test how demographic information and health information-seeking behavior influenced the level of diabetes knowledge. Results Of 2,178 patients with diabetes in rural areas, 1,684 (77.32%) had poor glycemic control, and the prevalence of diabetic complications was estimated to be 72.13%. Patients with diabetes had poor diabetes knowledge and health information-seeking behavior, and there is a strong positive correlation between them. Diabetes knowledge level was influenced by per capita household disposable income, occupational status, gender, age, ethnicity, family history of diabetes, insulin use, glycated hemoglobin, education level, number of complications and health information-seeking behavior. Conclusion Patients with diabetes in rural areas have poor glycemic control and a high incidence of diabetic complications. Patients with diabetes in rural areas have poor knowledge and inadequate health information-seeking behavior. Systematic and standardized education should be provided to improve patients' diabetes knowledge and thus improve their self-management ability.
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Affiliation(s)
- Yudong Wang
- Department of Nursing, Liaocheng People’s Hospital, Liaocheng, China
- Department of Geriatric Endocrinology and Metabolism, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Yanping Zhang
- Department of Geriatric Endocrinology and Metabolism, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Tingting Guo
- Department of Nursing, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
- School of Nursing, Youjiang Medical University for Nationalities, Baise, China
| | - Jiaxia Han
- Department of Endocrinology and Metabolism, The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Guifen Fu
- Department of Nursing, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
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Dong C, Wu G, Li H, Qiao Y, Gao S. Type 1 and type 2 diabetes mortality burden: Predictions for 2030 based on Bayesian age-period-cohort analysis of China and global mortality burden from 1990 to 2019. J Diabetes Investig 2024; 15:623-633. [PMID: 38265170 PMCID: PMC11060160 DOI: 10.1111/jdi.14146] [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: 10/08/2023] [Revised: 12/07/2023] [Accepted: 12/27/2023] [Indexed: 01/25/2024] Open
Abstract
AIMS This study assessed diabetes (type 1 and type 2) mortality in China and globally from 1990 to 2019, predicting the next decade's trends. MATERIALS AND METHODS Data came from the Global Burden of Disease (GBD) database. The annual percentage change (AAPC) in age-standardized mortality rates (ASMR) for diabetes (type 1 and type 2) during 1990-2019 was calculated. A Bayesian age-period-cohort (BAPC) model predicted diabetes (type 1 and type 2) mortality from 2020 to 2030. RESULTS In China, type 1 diabetes deaths declined from 6,005 to 4,504 cases (AAPC -2.827), while type 2 diabetes deaths rose from 64,084 to 168,388 cases (AAPC -0.763) from 1990 to 2019. Globally, type 1 diabetes deaths increased from 55,417 to 78,236 cases (AAPC 0.223), and type 2 diabetes deaths increased from 606,407 to 1,472,934 cases (AAPC 0.365). Both China and global trends showed declining type 1 diabetes ASMR. However, female type 2 diabetes ASMR in China initially increased and then decreased, while males had a rebound trend. Peak type 1 diabetes deaths were in the 40-44 age group, and type 2 diabetes peaked in those over 70. BAPC predicted declining diabetes (type 1 and type 2) mortality burden in China and globally over the next 10 years. CONCLUSIONS Type 2 diabetes mortality remained high in China and globally despite decreasing type 1 diabetes mortality over 30 years. Predictions suggest a gradual decrease in diabetes mortality over the next decade, highlighting the need for continued focus on type 2 diabetes prevention and treatment.
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Affiliation(s)
- Chunping Dong
- Department of EndocrinologyShaanxi Provincial People's HospitalXi'an CityChina
| | - Guifu Wu
- Department of EndocrinologyShaanxi Provincial People's HospitalXi'an CityChina
| | - Hui Li
- Department of EndocrinologyShaanxi Provincial People's HospitalXi'an CityChina
| | - Yuan Qiao
- Department of EndocrinologyShaanxi Provincial People's HospitalXi'an CityChina
| | - Shan Gao
- Department of EndocrinologyShaanxi Provincial People's HospitalXi'an CityChina
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Zou H, Jiang DX, Zhao WY, Yang JH, Jia HH, Zhang LL. Factors associated with patient delay for older adults with benign prostatic hyperplasia: A descriptive qualitative study. Geriatr Nurs 2022; 46:178-183. [PMID: 35728300 DOI: 10.1016/j.gerinurse.2022.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 05/31/2022] [Accepted: 06/01/2022] [Indexed: 12/01/2022]
Abstract
Based on the theory of planned behavior, the aim of this study was to describe the influencing factors of patient delay intentions and behaviors in benign prostatic hyperplasia (BPH) patients and to provide a reference for the development of a patient delay intention scale. This study was carried out over 4 months in 2021 in Daqing, Heilongjiang, China. The participants were 20 patients with BPH who were aged 60 to 82 years and experienced patient delay; participants were selected through a purposive sampling method. The data were collected via face-to-face semistructured interviews. Five main themes emerged from the interviews, including an insufficient understanding of symptoms, experiences of coping instead of seeking health care, negative attitudes toward care-seeking, the influence of others on decision-making for care-seeking, and obstacles to seeking health care. In conclusion, the patient delay intentions and behaviors of BPH patients are the result of a combination of many factors.
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Affiliation(s)
- Hao Zou
- Department of Nursing, Harbin Medical University, Daqing, 163319, China.
| | - Dong-Xu Jiang
- Department of Nursing, Harbin Medical University, Daqing, 163319, China.
| | - Wan-Yue Zhao
- Department of Nursing, Harbin Medical University, Daqing, 163319, China.
| | - Jin-Hong Yang
- Urology, People's Hospital in Hei Longjiang Province, Daqing, 163319, China.
| | - Hong-Hong Jia
- Department of Nursing, Harbin Medical University, Daqing, 163319, China.
| | - Lin-Lin Zhang
- Department of Nursing, School of Pharmacy, Changzhou University, Jiangsu, 213164, China.
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