scholarly journals Active Travel and Mild Cognitive Impairment among Older Adults from Low- and Middle-Income Countries

2021 ◽  
Vol 10 (6) ◽  
pp. 1243
Author(s):  
Lee Smith ◽  
Nicola Veronese ◽  
Guillermo F. López-Sánchez ◽  
Lin Yang ◽  
Damiano Pizzol ◽  
...  

Active travel may be an easily achievable form of physical activity for older people especially in low- and middle-income countries (LMICs), but there are currently no studies on how this form of physical activity is associated with a preclinical state of dementia known as mild cognitive impairment (MCI). Therefore, we aimed to investigate the association between active travel and MCI among adults aged ≥50 years from six LMICs. Cross-sectional, community-based data from the World Health Organization’s Study on Global Ageing and Adult Health were analyzed. The definition of MCI was based on the National Institute on Ageing-Alzheimer’s Association criteria. Active travel (minutes/week) was assessed with questions of the Global Physical Activity Questionnaire (GPAQ) and presented in tertiles. Multivariable logistic regression analysis was conducted to assess the association between active travel and MCI. Data on 32715 people aged ≥ 50 years (mean age 62.4 years; 52.1% females) were analyzed. Compared to the highest tertile of active travel, the lowest tertile was associated with 1.33 (95%CI = 1.14–1.54) times higher odds for MCI overall. This association was particularly pronounced among those aged ≥65 years (OR = 1.70; 95%CI = 1.32–2.19) but active travel was not associated with MCI among those aged 50–64 years. In conclusion, low levels of active travel were associated with a significantly higher odds of MCI in adults aged ≥65 years in LMICs. Promoting active travel among people of this age group in LMICs via tailored interventions and/or country-wide infrastructure investment to provide a safe environment for active travel may lead to a reduction in MCI and subsequent dementia.

2017 ◽  
Vol 100 ◽  
pp. 100-105 ◽  
Author(s):  
Davy Vancampfort ◽  
Brendon Stubbs ◽  
Elvira Lara ◽  
Mathieu Vandenbulcke ◽  
Nathalie Swinnen ◽  
...  

2017 ◽  
Vol 30 (5) ◽  
pp. 705-714 ◽  
Author(s):  
Davy Vancampfort ◽  
Brendon Stubbs ◽  
Mats Hallgren ◽  
Nicola Veronese ◽  
James Mugisha ◽  
...  

ABSTRACTBackground:Given the important health benefits of physical activity (PA) and the higher risk for physical inactivity in people with anxiety, and the high prevalence of anxiety and low PA among the elderly, there is a need for research to investigate what factors influence PA participation among anxious older individuals. We investigated PA correlates among community-dwelling adults aged ≥ 65 years with anxiety symptoms in six low- and middle-income countries.Methods:Cross-sectional data from the World Health Organization's Study on Global Ageing and Adult Health were analyzed. PA level was assessed by the Global Physical Activity Questionnaire. 980 participants with anxiety (mean age 73.3 years; 62.4% females) were grouped into those who do and do not (low PA) meet the 150 minutes of moderate-to-vigorous PA per week recommendation. Associations between PA and the correlates were examined using multivariable logistic regressions.Results:The prevalence of low PA was 44.9% (95% CI = 39.2–50.7%). Older age, male gender, less consumption of alcohol, mild cognitive impairment, pain, a wide range of somatic co-morbidities, slow gait, weak grip strength, poor self-rated health, and lower levels of social cohesion were identified as significant positive correlates of low PA.Conclusions:Our data illustrate that a number of sociodemographic and health factors are associated with PA levels among older people with symptoms of anxiety. The promotion of social cohesion may increase the efficacy of public health initiatives, while from a clinical perspective, somatic co-morbidities, cognitive impairment, pain, muscle strength, and slow gait need to be considered.


2021 ◽  
pp. 1-11
Author(s):  
Lee Smith ◽  
Jae Il Shin ◽  
Hans Oh ◽  
Christina Carmichael ◽  
Louis Jacob ◽  
...  

Background: The effect of weight modification on future dementia risk is currently a subject of debate and may be modified by age. Objective: The aim of the present study was to investigate the association between body mass index (BMI) status with mild cognitive impairment (MCI) (a preclinical stage of dementia) in middle-aged and older adults residing in six low- and middle-income countries using nationally representative data. Methods: Cross-sectional data from the Study on Global Ageing and Adult Health (SAGE) were analyzed. MCI was defined using the National Institute on Aging-Alzheimer’s Association criteria. BMI (kg/m2) was based on measured weight and height and categorized as: underweight (<18.5), normal (18.5–24.9), overweight (25.0–29.9), and obese (≥30.0). Multivariable logistic regression analysis and meta-analysis were conducted to assess associations. Results: Data on 32,715 individuals aged ≥50 years with preservation in functional abilities were analyzed [mean (SD) age 62.1 (15.6) years; 51.7% females]. Among those aged 50–64 years, compared to normal weight, underweight (OR = 1.44; 95% CI = 1.14–1.81), overweight (OR = 1.17; 95% CI = 1.002–1.37), and obesity (OR = 1.46; 95% CI = 1.09–1.94) were all significantly associated with higher odds for MCI. In those aged ≥65 years, underweight (OR = 0.71; 95% CI = 0.54–0.95) and overweight (OR = 0.72; 95% CI = 0.55–0.94) were associated with significantly lower odds for MCI, while obesity was not significantly associated with MCI. Conclusion: The results of the study suggest that the association between BMI and MCI is likely moderated by age. Future longitudinal studies are required to confirm or refute the present findings before recommendations for policy and practice can be made.


Gerontology ◽  
2018 ◽  
Vol 65 (2) ◽  
pp. 155-163 ◽  
Author(s):  
Ai Koyanagi ◽  
Hans Oh ◽  
Davy Vancampfort ◽  
Andre F. Carvalho ◽  
Nicola Veronese ◽  
...  

Background: Perceived stress may be a modifiable risk factor for mild cognitive impairment (MCI) and ultimately dementia, but studies on this topic from low- and middle-income countries (LMICs) are lacking. Objective: We assessed the association between perceived stress and MCI in six LMICs (China, Ghana, India, Mexico, Russia, and South Africa) using nationally representative data. Methods: Cross-sectional, community-based data on individuals aged ≥50 years from the World Health Organization’s Study on Global Ageing and Adult Health were analyzed. The definition of MCI was based on the National Institute on Ageing-Alzheimer’s Association criteria. A perceived stress score (range 0 [lowest stress] to 10 [highest stress]) was computed based on two questions from the Perceived Stress Scale. Multivariable logistic regression analysis was conducted to assess the as­sociation between perceived stress and MCI. Results: The mean (SD) age of the 32,715 participants was 62.1 (15.6) years and 51.7% were females. After adjustment for potential confounders including depression, in the overall sample, a one-unit increase in the perceived stress score was associated with a 1.14 (95% CI = 1.11–1.18) times higher odds for MCI. The association was similar among those aged 50–64 and ≥65 years. Countrywise analysis showed that there was a moderate level of between-country heterogeneity in this association (I2 = 59.4%), with the strongest association observed in Russia (OR = 1.33, 95% CI = 1.15–1.55). Conclusion: If our study results are confirmed in prospective studies, addressing perceived stress may have an impact in reducing the risk for MCI and subsequent dementia in LMICs.


Author(s):  
Brendon Stubbs ◽  
Kamran Siddiqi ◽  
Helen Elsey ◽  
Najma Siddiqi ◽  
Ruimin Ma ◽  
...  

Tuberculosis (TB) is a leading cause of mortality in low- and middle-income countries (LMICs). TB multimorbidity [TB and ≥1 non-communicable diseases (NCDs)] is common, but studies are sparse. Cross-sectional, community-based data including adults from 21 low-income countries and 27 middle-income countries were utilized from the World Health Survey. Associations between 9 NCDs and TB were assessed with multivariable logistic regression analysis. Years lived with disability (YLDs) were calculated using disability weights provided by the 2017 Global Burden of Disease Study. Eight out of 9 NCDs (all except visual impairment) were associated with TB (odds ratio (OR) ranging from 1.38–4.0). Prevalence of self-reported TB increased linearly with increasing numbers of NCDs. Compared to those with no NCDs, those who had 1, 2, 3, 4, and ≥5 NCDs had 2.61 (95% confidence interval (CI) = 2.14–3.22), 4.71 (95%CI = 3.67–6.11), 6.96 (95%CI = 4.95–9.87), 10.59 (95%CI = 7.10–15.80), and 19.89 (95%CI = 11.13–35.52) times higher odds for TB. Among those with TB, the most prevalent combinations of NCDs were angina and depression, followed by angina and arthritis. For people with TB, the YLDs were three times higher than in people without multimorbidity or TB, and a third of the YLDs were attributable to NCDs. Urgent research to understand, prevent and manage NCDs in people with TB in LMICs is needed.


2020 ◽  
pp. 1-20
Author(s):  
Andrea M. McGrattan ◽  
Yueping Zhu ◽  
Connor D. Richardson ◽  
Devi Mohan ◽  
Yee Chang Soh ◽  
...  

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. No restrictions on the definition of MCI used as long as it was clearly defined. Results: 4,621 articles were screened, and 78 retained. In total, n = 23 different LMICs were represented; mostly from China (n = 55 studies). Few studies 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 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.


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