Cognitive impairment in older people living in the community

Inocian, Ergie Pepito; Patalagsa, Joel G.

doi:10.7748/nop.28.2.25.s21

Cited by 2 publications

(10 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Table 1 shows the characteristics of each study. Sample size ranged from n=120 [69] to n=32,715 [11].…”

Section: Study Characteristicsmentioning

confidence: 99%

“…As shown in Table 1, four studies [9,11,50,64] analysed MCI prevalence for multiple countries. The majority of studies have been conducted in China (n=55 studies [9, 11, 20, 24, 26-45, 48, 51, 52, 54, 56-58, 62, 66-68, 72-84, 86, 87, 89, 90, 94-96]), followed by India (n=6 studies [9,11,25,85,91,92]), Mexico (n=4 studies [9,11,22,65]), Brazil (n=2 studies [59,60]), Malaysia (n=2 studies [47,53]), the Philippines (n=2 studies [61,69]), Central African Republic (n=2 studies [50,64]), South Africa (n=2 studies [11,93]), Republic of Congo (n=2 studies [50,64]), and one each in Colombia [21], Nigeria [23], Cuba [9], Dominican Republic [9], Peru [9], Venezuela [9], Georgia [46], Kazakhstan [55], Tanzania [49], Bulgaria [88], Ghana [11], Russia [11], Egypt [70] and Benin West-Africa [63].…”

Section: Study Characteristicsmentioning

confidence: 99%

“…A shown in Table 1, numerous criteria were used to diagnose MCI including (1) Petersen's criteria [8,[97][98][99][100][101][102] (n=26 studies [9,); (2) IWG criteria [103] (n=14 studies [45][46][47][48][49][50][51][52][53][54][55][56][57][58]); (3) study specific criteria for CIND (n=10 studies [59][60][61][62][63][64][65][66][67][68]); (4) study specific criteria for MCI (n=13 studies [30, 70, 74-76, 79, 80, 84, 86, 89, 91, 94, 95]); (5) DSM-IV criteria [104] (n=8 studies [72, 77, 78, 81-83, 90, 96]); (6) MCI based on a score from a neuropsychological assessment tool (n=3 studies [69,87,92]); (7) NIA-AA criteria [10] (n=2 studies [11,93]); or, (8) the European Consortium on Alzheimer's Disease (ECAD) criteria [105] (n=2 studies [85,…”

Section: Criteriamentioning

confidence: 99%

“…To demonstrate normal cognitive function: MMSE≥24 (n=4 studies [43,54,76,78]), MMSE one standard deviation (1SD) from norm (n=1 study [68]), MMSE≥19 (n=2 studies [47,53]), MMSE≥23 (n=1 study [22]) and MMSE range 24-26 (n=1 study [36]); and, 2. To demonstrate cognitive impairment: MMSE≤24 (n=2 studies [25,92]), MMSE≤26 (n=2 studies [34,74]), MMSE≤25 (n=1 study [88]), MMSE≤27 (n=1 study [66]), and MMSE range 20-25 (n=1 study [69]).…”

Section: Subjective Cognitive/memory Complaintmentioning

confidence: 99%

“…Criteria used to exclude dementia included the DSM-IV (n=27 studies [20, 23, 25, 27, 34, 37, 44-46, 48-51, 55, 59, 61-64, 66-68, 70, 85, 88, 91, 92]), performance on a neuropsychological assessment battery (n=8 studies [22,43,47,52,56,69,87,89]), a combination of cognitive test performance and evaluation of Activities of Daily Living (ADL)/ Instrumental Activities of Daily Living (IADL; n=4 studies [11,21,65,93]), NINCDS-ADRDA criteria (n=3 studies [23,37,62]), ICD-10 criteria (n=1 study [25]), the 10/66 dementia algorithm (n=1 study [9]), diagnoses by a doctor (n=1 study [53]) or NIA-AA criteria (n=1 study [60]).…”

Section: Dementiamentioning

confidence: 99%

See 4 more Smart Citations

Prevalence and Risk of Mild Cognitive Impairment in Low and Middle-Income Countries: A Systematic Review

McGrattan

Zhu

Richardson

et al. 2021

JAD

View full text Add to dashboard Cite

Background: Mild cognitive impairment (MCI) is a cognitive state associated with increased risk of dementia. Little research on MCI exists from low-and middle-income countries (LMICs), despite high prevalence of dementia in these settings. Objective: This systematic review aimed to review epidemiological reports to determine the prevalence of MCI and its associated risk factors in LMICs. Methods: Medline, Embase, and PsycINFO were searched from inception until November 2019. Eligible articles reported on MCI in population or community-based studies from LMICs and were included as long as MCI was clearly defined. Results: 5,568 articles were screened, and 78 retained. In total, n = 23 different LMICs were represented; mostly from China (n = 55 studies). Few studies were from countries defined as lower-middle income (n = 14), low income (n = 4), or from population representative samples (n = 4). There was large heterogeneity in how MCI was diagnosed; with Petersen criteria the most commonly applied (n = 26). Prevalence of amnesic MCI (aMCI) (Petersen criteria) ranged from 0.6%to 22.3%. Similar variability existed across studies using the International Working Group Criteria for aMCI (range 4.5%to 18.3%) and all-MCI (range 6.1%to 30.4%). Risk of MCI was associated with demographic (e.g., age), health (e.g., cardio-metabolic disease), and lifestyle (e.g., social isolation, smoking, diet and physical activity) factors. Conclusion: Outside of China, few MCI studies have been conducted in LMIC settings. There is an urgent need for population representative epidemiological studies to determine MCI prevalence in LMICs. MCI diagnostic methodology also needs to be standardized. This will allow for cross-study comparison and future resource planning.

show abstract

“…Table 1 shows the characteristics of each study. Sample size ranged from n=120 [69] to n=32,715 [11].…”

Section: Study Characteristicsmentioning

confidence: 99%

Section: Study Characteristicsmentioning

confidence: 99%

Section: Criteriamentioning

confidence: 99%

Section: Subjective Cognitive/memory Complaintmentioning

confidence: 99%

Section: Dementiamentioning

confidence: 99%

See 3 more Smart Citations

Prevalence and Risk of Mild Cognitive Impairment in Low and Middle-Income Countries: A Systematic Review

McGrattan

Zhu

Richardson

et al. 2021

JAD

View full text Add to dashboard Cite

show abstract

Prevalence and related factors for physical function and cognitive impairment among older adults in southern China: A population-based regional cross-sectional study

Zhang,

Cui,

Chen

et al. 2023

Preprint

View full text Add to dashboard Cite

As the country with the largest and fastest-aging older population worldwide, China has hosted an increasing number of regional investigations of disability in older adults. However, the disability prevalence related to physical function and cognition in southern China is unknown. This study aimed to determine the prevalence of and associated factors for cognitive and physical-function impairment in persons 60 years or older. For this population-based cross-sectional study design, a total of 5603 participants were recruited between June 2021 to December 2022, using multistage, stratified, cluster-sampling procedure. Instruments including general questionnaire, basic and instrumental activities of daily life, Chinese version of mini-mental state examination, patient health questionnaire-9 and generalized anxiety disorder-7 were used to collect data in the form of WetChat mini program. Binary and multivariate logistic regression analysis were applied to explore the influencing factors. The prevalence of physical function and cognitive impairment in older adults was 37.3% and 31.0%, respectively. Multivariate regression analyses revealed that age, family income, education level, place of residence, medication type, annual physical examination, weekly social activities, care from family or friends, hearing disorder, walking disorder and depression were all associated with physical function and cognitive impairment. Moreover, an increased risk of physical function impairment was associated with BMI, region, income source, smoking and weekly exercise, and cognitive impairment was associated with the number of children, insurance type, coronary heart disease and anxiety. Physical function (OR: 1.79, 95%CI: 1.49, 2.16) and cognitive impairment (OR: 1.83, 95%CI: 1.51, 2.21) were mutually influenced in our study. This study showed a high prevalence of and several related factors for physical function and cognitive impairment in Guangdong Province. The results revealed that comprehensive and systematic prevention and control programs for disability should be established to improve the quality of life of older adults.

show abstract

Cognitive impairment in older people living in the community

Abstract: Cognitive decline was more prevalent in older participants. Implementation of cost-effective, early detection and interventions in primary care is needed to prevent the potential debilitating effects of cognitive impairment.

Cited by 2 publications

References 0 publications

Prevalence and Risk of Mild Cognitive Impairment in Low and Middle-Income Countries: A Systematic Review

Prevalence and Risk of Mild Cognitive Impairment in Low and Middle-Income Countries: A Systematic Review

Prevalence and related factors for physical function and cognitive impairment among older adults in southern China: A population-based regional cross-sectional study

Contact Info

Product

Resources

About