Subjective cognitive decline in diabetes: Associations with psychological, sleep, and diabetes‐related factors

Kim, Min Jung; Park, Chang; Zhu, Bingqian; Fritschi, Cynthia

doi:10.1111/jan.14624

Cited by 7 publications

(9 citation statements)

References 46 publications

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“…The DSC‐R, FSS, FAS, PROMIS: Fatigue CAT, and VAFS surveys measured the intensity of fatigue, but they use different response scales. The average ranges of fatigue intensity were 1.53–2.24 using the DSC‐R (on a scale of 0 to 5, a higher score indicates higher fatigue intensity; Miquelon & Castonguay, 2016; Park et al, 2015; Zhu, Quinn, Kapella, et al, 2018; Zhu et al, 2019), 3.80 – 5.69 out of 7 points using the FSS (Aylaz et al, 2015; Cuellar & Ratcliffe, 2008; Singh & Kluding, 2013), 21.4–25.1 out of 50 points using the FAS (Nefs et al, 2015; Singh & Kluding, 2013), a standardised t score of 51–51.64 on the PROMIS Fatigue CAT where the average standardised t score for the United States general population was 50 (Fritschi et al, 2017, 2020; Kim et al, 2020; Zhu, Quinn, & Fritschi, 2018), and 4.61 out of 10 points on the VAFS (Singh & Kluding, 2013).…”

Section: Resultsmentioning

confidence: 99%

“…Most studies were conducted in Western countries including Australia (n = 1), Canada (n = 1), Denmark (n = 1), France (n = 1), the Netherlands (n = 1), Portugal (n = 1) and the United States (n = 17). The majority were cross‐sectional observational studies and among them were six secondary data analyses (Kim et al, 2020; Kuo et al, 2020; Park et al, 2015; Zhu et al, 2018, 2019, 2020). Other designs in the recruited studies included two RCTs (Abd El‐Kader et al, 2015; Dempsey et al, 2018), three qualitative designs (Arifin et al, 2020; Hernandez et al, 2019; Laranjo et al, 2015) and one quasi‐experimental study (Kluding et al, 2015).…”

Section: Resultsmentioning

confidence: 99%

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An integrative review of fatigue in adults with type 2 diabetes mellitus: Implications for self‐management and quality of life

Kuo

Huang

García

2021

Journal of Clinical Nursing

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Aims and objectives To synthesise empirical studies on factors related to fatigue and its impact on diabetes self‐management (DSM) and quality of life (QOL) in adults with type 2 diabetes mellitus (T2DM). Background Fatigue is commonly reported in people with T2DM, a chronic condition that is highly prevalent worldwide. However, a holistic understanding of the consequences and factors related to fatigue in adults with T2DM is not well synthesised. Design This integrative review used Whittemore and Knafl's methodology and was reported according to the Preferred Reporting for Systematic Reviews and Meta‐Analyses (PRISMA) guidelines and checklist. Methods The theory of unpleasant symptoms (TOUS) was used as a conceptual model to guide the review. The PubMed, PsychINFO and CINAHL databases were searched to identify studies that recruited adults with T2DM, were peer‐reviewed, written in English and investigated fatigue as a primary or secondary outcome. Two investigators independently appraised the quality of the studies and extracted the data. Results Twenty‐nine articles met the inclusion criteria: 23 observational studies, two randomised controlled trials, one quasi‐experimental study and three qualitative studies. All articles were of high quality. Physiological (e.g. T2DM duration, complications and inflammatory biomarkers), psychological (e.g. diabetes distress, depression and sleep quality) and situational factors (e.g. race/ethnicity, education and social support) were related to fatigue. Studies reported fatigue as a barrier to physical activity, healthy eating behaviours and the physical aspect of QOL. Conclusions Multiple factors are related to fatigue in adults with T2DM. Gaps in the literature include the multiple dimensions of fatigue, the effectiveness of interventions to alleviate fatigue and fatigue experiences in under‐represented populations. Relevance to clinical practice This integrative review supports the complex origin of fatigue and its impact on adults with T2DM. Nurses should evaluate modifiable factors related to fatigue and provide support to help improve DSM and QOL in this population.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

An integrative review of fatigue in adults with type 2 diabetes mellitus: Implications for self‐management and quality of life

Kuo

Huang

García

2021

Journal of Clinical Nursing

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“…SCD may be the first symptomatic manifestation of AD and has been proved to be linking to a range of factors including hypertension, diabetes, fatigue, depression symptoms and anxiety symptoms [ 21 – 24 ]. A study found that SCD was associated with higher systemic levels of pro-inflammatory markers MCP-1, IL-6 and CRP, in particular about executive cognitive functioning [ 25 ].…”

Section: Introductionmentioning

confidence: 99%

Subjective cognitive decline symptoms and its association with socio-demographic characteristics and common chronic diseases in the southern Chinese older adults

Lin

Wang

et al. 2022

BMC Public Health

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Background Subjective cognitive decline (SCD) may be the first symptomatic manifestation of Alzheimer’s disease, but information on its health correlates is still sparse in Chinese older adults. This study aimed to estimate SCD symptoms and its association with socio-demographic characteristics, common chronic diseases among southern Chinese older adults. Methods Participants aged 60 years and older from 7 communities and 2 nursing homes in Guangzhou were recruited and interviewed with standardized assessment tools. Pittsburgh Sleep Quality Index (PSQI), Patient Health Questionnaire–9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) were used to measure poor sleep quality, depression symptoms and anxiety symptoms. The SCD symptoms were measured by SCD questionnaire 9 (SCD-Q9) which ranged from 0 to 9 points, with a higher score indicating increased severity of the SCD. Participants were divided into low score group (SCD-Q9 score ≤ 3) and higher score group (SCD-Q9 score > 3). Chi-square tests and multivariate logistic regression analysis were used for exploring the influences of different characteristics of socio-demographic and lifestyle factors on SCD symptoms. Univariate and multivariate logistic regression analysis were applied to explore the association between SCD symptoms with common chronic diseases. Results A total of 688 participants were included in our analysis with a mean age of 73.79 (SD = 8.28, range: 60–101), while 62.4% of the participants were females. The mean score of the SCD-Q9 was 3.81 ± 2.42 in the whole sample. A total of 286 participants (41.6%) were defined as the low score group (≤3 points), while 402 participants (58.4%) were the high score group (> 3 points). Multivariate logistic regression analysis revealed that female (OR = 1.99, 95%CI: 1.35–2.93), primary or lower education level (OR = 2.58, 95%CI: 1.38–4.83), nursing home (OR = 1.90, 95%CI: 1.18–3.05), napping habits (OR = 1.59, 95%CI: 1.06–2.40), urolithiasis (OR = 2.72, 95%CI: 1.15–6.40), gout (OR = 2.12, 95%CI: 1.14–3.93), poor sleep quality (OR = 1.93, 95%CI: 1.38–2.71), depression symptoms (OR = 3.01, 95%CI: 1.70–5.34) and anxiety symptoms (OR = 3.11, 95%CI: 1.29–7.46) were independent positive related to high SCD-Q9 score. On the other hand, tea-drinking habits (OR = 0.64, 95%CI: 0.45–0.92), current smoking (OR = 0.46, 95%CI: 0.24–0.90) were independent negative related to high SCD-Q9 score. Conclusions Worse SCD symptoms were closely related to common chronic diseases and socio-demographic characteristics. Disease managers should pay more attention to those factors to early intervention and management for SCD symptoms among southern Chinese older adults.

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“…Hypertension has been linked to cognitive decline (Haring et al, 2016; McDonald et al, 2017; Tadic et al, 2016). Depression is also a significant factor in SCD (Brown et al, 2020; Ju et al, 2021; Kim et al, 2021; Zullo et al, 2021) and SCD-related functional outcomes (Brown et al, 2020; Ju et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

“…Hypertension has been linked to cognitive decline (Haring et al, 2016;McDonald et al, 2017;Tadic et al, 2016). Depression is also a significant factor in SCD (Brown et al, 2020;Ju et al, 2021;Kim et al, 2021;Zullo et al, 2021) and Yes versus No 3) Did you live with anyone who served time or was sentenced to serve time in a prison, jail, or other correctional facility?…”

Section: Confoundersmentioning

confidence: 99%

Adverse Childhood Experiences and Subjective Cognitive Decline in the US

et al. 2021

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Objective The aim of this study was to determine the association between adverse childhood experiences (ACEs) and subjective cognitive decline (SCD) among a representative sample of the adult US population. Methods Data were obtained from the 2019 Behavioral Risk Factor Surveillance System ( N = 82,688, ≥45 years). Adverse childhood experiences included sexual, physical/psychological and environmental ACEs, and a score. Multivariable logistic regression was used to determine the association between ACEs and SCD, and SCD-related outcomes. Results Sexual (adjusted OR (aOR: 2.83; 95% CI: 2.42–3.31)), physical/psychological (aOR: 2.05; 95% CI: 1.83–2.29), and environmental (aOR: 1.94; 95% CI: 1.74–2.16) ACEs were associated with SCD in the past year. There was also a dose-response relationship between ACE score and SCD. Conclusion ACEs were associated with SCD. Interventions to maximize cognitive health in aging and prevent future cognitive impairment should consider the potential role of ACEs among affected populations.

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Subjective cognitive decline in diabetes: Associations with psychological, sleep, and diabetes‐related factors

Abstract: Aims: To determine whether psychological, sleep, and diabetes-related factors were associated with subjective cognitive decline (SCD) in adults with type 2 diabetes (T2D).

Cited by 7 publications

References 46 publications

An integrative review of fatigue in adults with type 2 diabetes mellitus: Implications for self‐management and quality of life

An integrative review of fatigue in adults with type 2 diabetes mellitus: Implications for self‐management and quality of life

Subjective cognitive decline symptoms and its association with socio-demographic characteristics and common chronic diseases in the southern Chinese older adults

Adverse Childhood Experiences and Subjective Cognitive Decline in the US

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