1
|
O CK, Siu BWH, Leung VWS, Lin YY, Ding CZ, Lau ESH, Luk AOY, Chow EYK, Ma RCW, Chan JCN, Chan RNY, Wing YK, Kong APS. Association of insomnia with incident chronic cognitive impairment in older adults with type 2 diabetes mellitus: A prospective study of the Hong Kong Diabetes Register. J Diabetes Complications 2023; 37:108598. [PMID: 37716256 DOI: 10.1016/j.jdiacomp.2023.108598] [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: 05/22/2023] [Revised: 08/14/2023] [Accepted: 08/28/2023] [Indexed: 09/18/2023]
Abstract
AIMS To examine the risk association of insomnia with incident chronic cognitive impairment in older adults with type 2 diabetes mellitus (T2D). METHODS Between July 2010 and June 2015, patients with T2D aged ≥60 years enrolled in the Hong Kong Diabetes Register completed the Insomnia Severity Index (ISI) questionnaire. Patients were considered having insomnia if they had ISI score > 14. We prospectively followed up the cohort and censored outcome through reviewing diagnoses and clinical notes entered by attending physicians in electronic medical record to identify incident cases of mild cognitive impairment and dementia. RESULTS After excluding shift workers and those with established chronic cognitive impairment at baseline, we included 986 patients with T2D in this study (58.3 % men, mean age ± standard deviation: 62.5 ± 2.6 years, disease duration of diabetes: 10.7 ± 8.2 years, HbA1c: 7.4 ± 1.3 %, insulin users: 28.7 %, insomnia: 9.1 %). After a median follow-up of 7.6 (interquartile range = 2.0) years, 41 (4.2 %) developed chronic cognitive impairment. Using Cox regression analysis, insomnia (hazard ratio, HR 2.909, p = 0.012) and HbA1c ≥ 7 % (HR 2.300, p = 0.038) were positively associated with incident chronic cognitive impairment while insulin use (HR 0.309, p = 0.028) showed negative association. CONCLUSIONS Insomnia, suboptimal glycemic control and non-insulin use are independent risk factors for incident chronic cognitive impairment in older adults with T2D.
Collapse
Affiliation(s)
- Chun-Kwan O
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Brian Wai-Hei Siu
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Vanessa Wai-Shan Leung
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Yuan-Yuan Lin
- Department of Statistics, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Chen-Zhao Ding
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Eric Siu-Him Lau
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Andrea On-Yan Luk
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Elaine Yee-Kwan Chow
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Ronald Ching-Wan Ma
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Juliana Chung-Ngor Chan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Rachel Ngan-Yin Chan
- Department of Psychiatry, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Yun Kwok Wing
- Department of Psychiatry, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| | - Alice Pik-Shan Kong
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Li Ka Shing Institute of Health Sciences, Faculty of Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
| |
Collapse
|
2
|
Wang J, Zhao H, Shi K, Wang M. Treatment of insomnia based on the mechanism of pathophysiology by acupuncture combined with herbal medicine: A review. Medicine (Baltimore) 2023; 102:e33213. [PMID: 36930068 PMCID: PMC10019201 DOI: 10.1097/md.0000000000033213] [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: 01/24/2023] [Accepted: 02/15/2023] [Indexed: 03/18/2023] Open
Abstract
Insomnia is a sleep disorder which severely affects patients mood, quality of life and social functioning, serves as a trigger or risk factor to a variety of diseases such as depression, cardiovascular and cerebrovascular diseases, obesity and diabetes, and even increases the risk of suicide, and has become an increasingly widespread concern worldwide. Considerable research on insomnia has been conducted in modern medicine in recent years and encouraging results have been achieved in the fields of genetics and neurobiology. Unfortunately, however, the pathogenesis of insomnia remains elusive to modern medicine, and pharmacological treatment of insomnia has been regarded as conventional. However, in the course of treatment, pharmacological treatment itself is increasingly being questioned due to potential dependence and drug resistance and is now being replaced by cognitive behavior therapy as the first-line treatment. As an important component of complementary and alternative medicine, traditional Chinese medicine, especially non-pharmacological treatment methods such as acupuncture, is gaining increasing attention worldwide. In this article, we discuss the combination of traditional Chinese medicine, acupuncture, and medicine to treat insomnia based on neurobiology in the context of modern medicine.
Collapse
Affiliation(s)
- Jie Wang
- Department of Pain, Datong Hospital of Traditional Chinese Medicine, Shanxi Province, Datong, China
| | - Haishen Zhao
- Department of Rehabilitation, Luchaogang Community Health Service Center, Pudong New District, Shanghai, China
| | - Kejun Shi
- Department of Rehabilitation, Luchaogang Community Health Service Center, Pudong New District, Shanghai, China
| | - Manya Wang
- Department of Rehabilitation, Luchaogang Community Health Service Center, Pudong New District, Shanghai, China
| |
Collapse
|
3
|
Gupta A, Gupta Y, Anjana RM, Ranjani H, Kalaivani M, Goyal A, Jagannathan N, Sharma S, Mittal B, Radhakrishnan VK, Garg V, Sharma G, Jyotsna VP, Sagar R, Mohan V, Tandon N. Association of cognitive impairment with sleep quality, depression and cardiometabolic risk factors in individuals with type 2 diabetes mellitus: A cross sectional study. J Diabetes Complications 2021; 35:107970. [PMID: 34119405 DOI: 10.1016/j.jdiacomp.2021.107970] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 05/25/2021] [Accepted: 05/25/2021] [Indexed: 11/18/2022]
Abstract
AIM The aim of this study was to evaluate the association of cognitive impairment with sleep quality, depression, and cardiometabolic risk factors among participants with type 2 diabetes mellitus. METHODS Subjects underwent clinical interview to capture socio-demographic details, medical history, sleep quality, presence of depression, along with anthropometric and biochemical measurements. A detailed neuropsychological assessment [Montreal cognitive assessment scale (MoCA), Trail making A and B, Digit span, Spatial span, Letter Number Sequencing] was done. Cognitive impairment was defined as MoCA score of <23. RESULTS Participants (n=250, 50% women, 63.6% middle-age) had a mean (±SD) age of 53.6 (±9.1) years and HbA1c of 55.1±6.8mmol/mol (7.2±0.6%). Cognitive impairment was present in 57 (22.8%) participants. In the middle-age subgroup, cognitive impairment was higher (23.9%) than those in the fourth decade (6.3%), but comparable (24.0%) to the older age (60-70years) individuals. Diabetes-related vascular complications [Odds ratio (95% CI) 2.03 (1.05, 3.94)]; hypertension [2.00 (1.04, 3.84)], depression [2.37 (1.24, 4.55)] and lower education [2.73 (1.42, 5.23)] had a significant association with cognitive impairment on multivariate logistic regression analysis. CONCLUSION The high burden of cognitive impairment calls for an urgent need to establish longitudinal cohorts in midlife to understand this population's cognitive trajectories and see the influence of various bio-psychosocial variables.
Collapse
Affiliation(s)
- Anu Gupta
- Department of Neurology, All India Institute of Medical Sciences, New Delhi, India
| | - Yashdeep Gupta
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India.
| | - Ranjit Mohan Anjana
- Department of Diabetology, Madras Diabetes Research Foundation, Chennai, India
| | - H Ranjani
- Department of Translational Research, Madras Diabetes Research Foundation, Chennai, India
| | - Mani Kalaivani
- Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
| | - Alpesh Goyal
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - N Jagannathan
- Department of Translational Research, Madras Diabetes Research Foundation, Chennai, India
| | - Sandhya Sharma
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Bhavika Mittal
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | | | - Vineeta Garg
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Gautam Sharma
- Department of Cardiology, All India Institute of Medical Sciences, New Delhi, India
| | - Viveka P Jyotsna
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Rajesh Sagar
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | - Viswanathan Mohan
- Department of Diabetology, Madras Diabetes Research Foundation, Chennai, India
| | - Nikhil Tandon
- Department of Endocrinology & Metabolism, All India Institute of Medical Sciences, New Delhi, India
| |
Collapse
|