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Millimono TM, Camara A, Mabiama G, Toure F, Sidibé S, Preux PM, Desport JC, Fayemendy P, Jésus P. Undernutrition, socio-demographic characteristics and eating habits of the elderly. Clin Nutr ESPEN 2024; 63:821-828. [PMID: 39151563 DOI: 10.1016/j.clnesp.2024.07.1057] [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: 05/28/2023] [Revised: 06/27/2024] [Accepted: 07/28/2024] [Indexed: 08/19/2024]
Abstract
BACKGROUND AND AIMS Ageing is often accompanied by a decrease of food consumption, possibly leading to undernutrition. A single nutritional study was conducted in 2011 in the general population, showing that 5.5% of people aged >65 years were undernourished. The aim of our study was to assess the prevalence of undernutrition in the elderly and its relationship with sociodemographic characteristics and dietary habits. METHODS A cross-sectional study was conducted on a representative sample of subjects aged ≥60 years in urban and rural areas of the country's eight administrative regions. A questionnaire including socio-demographic data, food consumption frequencies and anthropometric measurements was used. Student's t-test and Man Whitney test were used with a significance level of 5%. A multivariate analysis was performed between undernutrition and the other factors collected. RESULTS 1698 older adults were included (male: 63.5%, sex ratio M/F = 1.7), with a mean age of 71.6 ± 9.4 years and a BMI of 22.6 ± 4.4 kg/m2. The prevalence of undernutrition was 14.4%. Undernutrition was significantly associated with age 80-89 years and ≥90 years, (p = 0.0001 and p = 0.0001 respectively), male sex (p = 0.006), rural areas (p = 0.002), being in activity (p = 0.009) and fish consumption (p = 0.039). Breakfast was consumed every day in 87.2% of cases, lunch in 74.3% and dinner in 83.2%. Rice and bread were the most consumed food. CONCLUSION Early detection of nutritional disorders, nutritional education and promotion of a balanced diet could help improve the health of the elderly.
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Affiliation(s)
- Thierno Mamadou Millimono
- Inserm U1094, IRD U270, Univ, CHU Limoges, EpiMaCT - Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France; Gamal Abdel Nasser University of Conakry, Guinea; Higher School of Tourism and Hospitality of Guinea (ESTH), Guinea.
| | | | - Gustave Mabiama
- Inserm U1094, IRD U270, Univ, CHU Limoges, EpiMaCT - Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France; Department of Family and Home Economics, Advanced Teachers Training College for Technical Education (ATTCTE), University of Douala, Cameroon
| | - Fanta Toure
- Gamal Abdel Nasser University of Conakry, Guinea; Ministry of Higher Education, Scientific Research and Innovation, Guinea
| | | | - Pierre-Marie Preux
- Inserm U1094, IRD U270, Univ, CHU Limoges, EpiMaCT - Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France
| | - Jean-Claude Desport
- Inserm U1094, IRD U270, Univ, CHU Limoges, EpiMaCT - Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France; Resource Centre for Nutrition Nouvelle Aquitaine Region (CERENUT), Isle, France
| | - Philippe Fayemendy
- Inserm U1094, IRD U270, Univ, CHU Limoges, EpiMaCT - Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France; Resource Centre for Nutrition Nouvelle Aquitaine Region (CERENUT), Isle, France; Nutrition Unit, University Hospital, Limoges, France
| | - Pierre Jésus
- Inserm U1094, IRD U270, Univ, CHU Limoges, EpiMaCT - Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, Limoges, France; Resource Centre for Nutrition Nouvelle Aquitaine Region (CERENUT), Isle, France; Nutrition Unit, University Hospital, Limoges, France
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Ikanga J, Reyes A, Kaba D, Akilimali P, Mampunza S, Epenge E, Gikelekele G, Kavugho I, Tshengele N, Hammers DB, Alonso A. Prevalence of suspected dementia in a sample of adults living in Kinshasa-Democratic Republic of the Congo. Alzheimers Dement 2023; 19:3783-3793. [PMID: 36880714 PMCID: PMC10483015 DOI: 10.1002/alz.13003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 01/10/2023] [Accepted: 01/22/2023] [Indexed: 03/08/2023]
Abstract
BACKGROUND The prevalence of dementia in Sub-Saharan Africa, particularly in French-speaking countries, has received limited attention. This study investigates the prevalence and risk factors of suspected dementia in elderly adults in Kinshasa, Democratic Republic of the Congo (DRC). METHODS A community-based sample of 355 individuals over 65 years old was selected using multistage probability sampling in Kinshasa. Participants were screened using the Community Screening Instrument for Dementia, Alzheimer's Questionnaire, Geriatric Depression Scale, Beck Anxiety Inventory, and Individual Fragility Questionnaire, followed by clinical interview and neurological examination. Suspected dementia diagnoses were made based on the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria including significant cognitive and functional impairments. Prevalence and odds ratios (ORs) with 95% confidence interval (CI) were calculated using, respectively, regression and logistic regression. RESULTS Among 355 participants (mean age 74, SD = 7; 51% male), the crude prevalence of suspected dementia was 6.2% (9.0% in women and 3.8% in men). Female sex was a significant factor associated with suspected dementia [OR = 2.81, 95% CI (1.08-7.41)]. The prevalence of dementia increased with age (14.0% after 75 years and 23.1% after 85 years), with age being significantly associated with suspected dementia [OR = 5.42, 95% CI (2.86-10.28)]. Greater education was associated with a lower prevalence of suspected dementia [OR = 2.36, 95% CI (2.14-2.94), comparing those with ≥7.3 years of education to those with <7.3 years of education]. Other factors associated with the prevalence of suspected dementia included being widowed (OR = 1.66, 95% CI (1.05-2.61), being retired or semi-retired (OR = 3.25, 95% CI (1.50-7.03)], a diagnosis of anxiety [OR = 2.56, 95% CI (1.05-6.13)], and death of a spouse or a relative after age 65 [OR = 1.73, 95% CI (1.58-1.92)]. In contrast, depression [OR = 1.92, 95% CI (0.81-4.57)], hypertension [OR = 1.16, 95% CI (0.79-1.71)], body mass index (BMI) [OR = 1.06, 95% CI (0.40-2.79)], and alcohol consumption [OR = 0.83, 95% CI (0.19-3.58)] were not significantly associated with suspected dementia. CONCLUSIONS This study found a prevalence of suspected dementia in Kinshasa/DRC similar to other developing countries and Central African countries. Reported risk factors provide information to identify high-risk individuals and develop preventive strategies in this setting.
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Affiliation(s)
- Jean Ikanga
- Emory University School of Medicine, Department of Rehabilitation Medicine, Atlanta, Georgia, 30322, USA
- University of Kinshasa and Catholic University of Congo, School of Medicine, Kinshasa, Department of Psychiatry, B.P. 7463 Kinshasa I, Democratic Republic of Congo
| | - Anny Reyes
- Emory University School of Medicine, Department of Rehabilitation Medicine, Atlanta, Georgia, 30322, USA
| | - Didine Kaba
- University of Kinshasa, School of Public Health, Department of Epidemiology, B.P. 7463 Kinshasa I, Democratic Republic of Congo
| | - Pierre Akilimali
- University of Kinshasa, School of Public Health, Department of Epidemiology, B.P. 7463 Kinshasa I, Democratic Republic of Congo
| | - Samuel Mampunza
- University of Kinshasa and Catholic University of Congo, School of Medicine, Kinshasa, Department of Psychiatry, B.P. 7463 Kinshasa I, Democratic Republic of Congo
| | - Emmanuel Epenge
- University of Kinshasa, Department of neurology, Kinshasa, B.P. 7463 Kinshasa I, Democratic Republic of Congo
| | - Guy Gikelekele
- University of Kinshasa and Catholic University of Congo, School of Medicine, Kinshasa, Department of Psychiatry, B.P. 7463 Kinshasa I, Democratic Republic of Congo
| | - Immaculee Kavugho
- Memory clinic of Kinshasa, Kinshasa, B.P. 7463 Kinshasa I, Democratic Republic of Congo
| | - Nathan Tshengele
- University of Kinshasa and Catholic University of Congo, School of Medicine, Kinshasa, Department of Psychiatry, B.P. 7463 Kinshasa I, Democratic Republic of Congo
| | - Dustin B. Hammers
- Indiana university, Department of neurology, Indianapolis, IN 46202, USA
| | - Alvaro Alonso
- Emory University, Department of Epidemiology, Rollins School of Public Health, Atlanta, GA, 30307, USA
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Abstract
OBJECTIVE To summarise available evidence and estimate the pooled prevalence of malnutrition among old people in Africa. DESIGN Systematic review and meta-analysis. SETTING Any healthcare or community research reporting the prevalence or incidence of malnutrition in Africa from January 2000 to October 2021. PARTICIPANTS Old people, aged above 60 years. OUTCOME MEASURES Malnutrition, either undernutrition or overnutrition. RESULTS A total of 1442 studies were retrieved based on the search strategy, where only 36 studies (n=15 266 participants) reported from 11 African countries were included for meta-analysis. The reported prevalence of malnutrition ranges from 2.2% to 77.3% across the continent. Overall, the pooled prevalence rates of undernutrition and overnutrition were 18% (95% CI: 15% to 22%; I2=98.1; p<0.001) and 33% (95% CI: 22% to 44%; p<0. 001), respectively. CONCLUSION The prevalence of malnutrition in old African people is high and differs by setting, assessment tool and country of residence. Hence, due attention to geriatric nutrition is mandatory, and the need for a valid, reliable and simple screening tool should be thought of.
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Affiliation(s)
- Ahmed Muhye Seid
- Department of Public Health, Bahir Dar University College of Medical and Health Sciences, Bahir Dar, Ethiopia
- Department of Public Health, Dire Dawa University, College of Medicine and Health Sciences, Dire Dawa, Ethiopia
| | - Netsanet Fentahun
- Department of Nutrition and Dietetics, Bahir Dar University College of Medical and Health Sciences, Bahir Dar, Ethiopia
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El Osta N, Wehbe A, Sleiman N, Drancourt N, El Osta L, Hennequin M. Dental Criteria Could Alert for Malnutrition Risk and Inappropriate Choice of Food Texture in Older Subjects with Dementia: An Analytical Cross-Sectional Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15086. [PMID: 36429816 PMCID: PMC9690132 DOI: 10.3390/ijerph192215086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 11/03/2022] [Accepted: 11/14/2022] [Indexed: 06/16/2023]
Abstract
Oral health indicators are usually collected to alert for the presence of infectious diseases, but the impact of poor oral health on the nutritional status of older people with dementia is often neglected. This study aims to explore the relationship between the number of posterior dental functional units (PFUs) and the anthropometric measure of malnutrition, the mid-upper arm circumference (MUAC), in older people with dementia while controlling for other variables, and to analyze whether the number of PFUs is considered when adjusting the texture of the food provided at mealtimes. A total of 103 individuals who were 70 years or older with dementia were recruited from seven institutions. Cognitive impairment was assessed using the Mini Mental State Examination. Data were collected from medical records (sociodemographic characteristics, presence of chronic diseases, prescribed medications, results of serum albumin level), as well as questionnaires (type of feeding routes, type of food texture, supplements intake, Activity of Daily Living index), clinical examinations (MUAC), and oral health parameters (PFUs, oral dryness, oral hygiene). MUAC was the dependent outcome variable. MUAC was associated with the number of PFUs (p = 0.032); participants with PFU ≤ 4 were 7.5 times more likely to have MUAC < 21 cm than others. Other associations were found between MUAC and albumin level (OR = 12.5; p = 0.001), modified food texture (OR = 4.2; p = 0.035), and length of institutional stay (OR = 5.2; p = 0.033); however, the type of oral feeding was not significantly related to the number of PFUs (p = 0.487) so there is an inadequate correlation between food texture and oral health status. Similar to MUAC, the number of PFUs could be an oral anthropometric criterion that is recorded during routine hygiene care to alert for the risk of malnutrition and the inappropriate choice of food texture in older individuals with dementia.
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Affiliation(s)
- Nada El Osta
- Centre de Recherche en Odontologie Clinique (CROC), Université Clermont Auvergne, 63000 Clermont-Ferrand, France
- Faculty of Medicine, Saint Joseph University of Beirut, Beirut 111, Lebanon
| | - Amine Wehbe
- Faculty of Medicine, Saint Joseph University of Beirut, Beirut 111, Lebanon
| | - Nelly Sleiman
- Faculty of Medicine, Saint Joseph University of Beirut, Beirut 111, Lebanon
| | - Noemie Drancourt
- Centre de Recherche en Odontologie Clinique (CROC), Université Clermont Auvergne, 63000 Clermont-Ferrand, France
- CHU of Clermont-Ferrand, Service d’Odontologie, 63003 Clermont-Ferrand, France
| | - Lana El Osta
- Faculty of Medicine, Saint Joseph University of Beirut, Beirut 111, Lebanon
| | - Martine Hennequin
- Centre de Recherche en Odontologie Clinique (CROC), Université Clermont Auvergne, 63000 Clermont-Ferrand, France
- CHU of Clermont-Ferrand, Service d’Odontologie, 63003 Clermont-Ferrand, France
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5
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Seid AM, Babbel NF. Prevalence of malnutrition among old age people in Africa. FRONTIERS IN AGING 2022; 3:1002367. [PMID: 36439677 PMCID: PMC9686835 DOI: 10.3389/fragi.2022.1002367] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/10/2022] [Indexed: 04/14/2024]
Abstract
Background: Improved health care and rising life expectancy are creating a growing pool of old age people all over the world, including Africa. Malnutrition in the old age people is associated with both short- and long-term negative health outcomes. However, the reported burdens of malnutrition are fragmented and inconsistent, where more compiled evidence is warranted to aid decision-makers. Hence, this paper is aimed to estimate the pooled prevalence of malnutrition among old age people in Africa. Methods: A systematic search for research reporting the prevalence of malnutrition among old age people (aged above 60 years) was conducted from HINARI/PubMed and Google Scholar databases using combination keywords. Published articles in English language starting from January 2000 to October 2021 were screened. We presented the results based on the standard for reporting systematic review and meta-analysis of observational studies. A random-effect meta-analysis was done to estimate the prevalence of malnutrition along with the 95% confidence intervals. The publication bias was assessed using the funnel plot. Results: A total of 1,442 studies were retrieved based on the search strategy, where only 36 studies (n = 15,266 participants) reported from 11 African countries were included for meta-analysis. The reported prevalence of malnutrition ranges from 2.2 to 77.3% across Africa. Overall, the pooled prevalence of malnutrition was 18% (95% CI: 15-22; I2 = 98.1; p < 0.001). The prevalence is higher in the Central Africa (3.8%; 95% CI: 3.2-4.4), in the community (3.1%; 95% CI: 2.7-3.7), and among advanced age (3.5%; 95% CI: 2.3-5.4). Conclusion: The prevalence of malnutrition in African old age people is high and differs by setting, assessment tool, and country of residence. Hence, due attention to geriatric nutrition is mandatory, and the need for a valid, reliable, and simple screening tool should be thought of.
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Affiliation(s)
- Ahmed Muhye Seid
- School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
- Department of Public Health, College of Medicine and Health Sciences, Dire Dawa University, Dire Dawa, Ethiopia
| | - Netsanet Fentahun Babbel
- Department of Nutrition and Dietetics, School of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
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Undernutrition, overweight and obesity prevalences among community-dwelling elderly in Africa-a systematic review. CLINICAL NUTRITION OPEN SCIENCE 2022. [DOI: 10.1016/j.nutos.2022.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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7
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Akinyemi RO, Yaria J, Ojagbemi A, Guerchet M, Okubadejo N, Njamnshi AK, Sarfo FS, Akpalu A, Ogbole G, Ayantayo T, Adokonou T, Paddick SM, Ndetei D, Bosche J, Ayele B, Damas A, Coker M, Mbakile-Mahlanza L, Ranchod K, Bobrow K, Anazodo U, Damasceno A, Seshadri S, Pericak-Vance M, Lawlor B, Miller BL, Owolabi M, Baiyewu O, Walker R, Gureje O, Kalaria RN, Ogunniyi A. Dementia in Africa: Current evidence, knowledge gaps, and future directions. Alzheimers Dement 2022; 18:790-809. [PMID: 34569714 PMCID: PMC8957626 DOI: 10.1002/alz.12432] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/21/2021] [Accepted: 06/11/2021] [Indexed: 12/19/2022]
Abstract
In tandem with the ever-increasing aging population in low and middle-income countries, the burden of dementia is rising on the African continent. Dementia prevalence varies from 2.3% to 20.0% and incidence rates are 13.3 per 1000 person-years with increasing mortality in parts of rapidly transforming Africa. Differences in nutrition, cardiovascular factors, comorbidities, infections, mortality, and detection likely contribute to lower incidence. Alzheimer's disease, vascular dementia, and human immunodeficiency virus/acquired immunodeficiency syndrome-associated neurocognitive disorders are the most common dementia subtypes. Comprehensive longitudinal studies with robust methodology and regional coverage would provide more reliable information. The apolipoprotein E (APOE) ε4 allele is most studied but has shown differential effects within African ancestry compared to Caucasian. More candidate gene and genome-wide association studies are needed to relate to dementia phenotypes. Validated culture-sensitive cognitive tools not influenced by education and language differences are critically needed for implementation across multidisciplinary groupings such as the proposed African Dementia Consortium.
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Affiliation(s)
- Rufus O Akinyemi
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Centre for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Neurology, University College Hospital, Ibadan, Nigeria
| | - Joseph Yaria
- Department of Neurology, University College Hospital, Ibadan, Nigeria
| | - Akin Ojagbemi
- Department of Psychiatry University College Hospital/College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Maëlenn Guerchet
- INSERM, Univ. Limoges, CHU Limoges, IRD, U1094 Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France
| | - Njideka Okubadejo
- Neurology Unit, Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi Araba, Lagos, Nigeria
| | - Alfred K Njamnshi
- Department of Neurology, Yaoundé Central Hospital/Faculty of Medicine and Biomedical Sciences, The University of Yaoundé I, Yaoundé, Cameroon
- Brain Research Africa Initiative (BRAIN), Geneva, Switzerland/Yaoundé, Cameroon
| | - Fred S Sarfo
- Department of Medicine, Kwame Nkrumah University of Science & Technology, Komfo Anokye Teaching Hospital, Kumasi, Ghana
| | - Albert Akpalu
- Department of Medicine, University of Ghana Medical School/Korle Bu Teaching Hospital, Accra, Ghana
| | - Godwin Ogbole
- Department of Radiology, University College Hospital/College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Temitayo Ayantayo
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Thierry Adokonou
- Department of Neurology, University Teaching Hospital, Parakou, Benin
| | - Stella-Maria Paddick
- Translational and Clinical Research Institute, Newcastle University, UK/Gateshead Health NHS Foundation Trust, Gateshead, UK
| | - David Ndetei
- Department of Psychiatry, University of Nairobi and African Meatal Health and Training Foundation, Nairobi, Kenya
| | - Judith Bosche
- Kilimanjaro Christian Medical College, Moshi, Tanzania
| | - Biniyam Ayele
- College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
| | - Andrea Damas
- Mirembe Mental Health Hospital, Dodoma, Tanzania
| | - Motunrayo Coker
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Lingani Mbakile-Mahlanza
- Department of Psychology, Faculty of Social Sciences, University of Botswana, Gaborone, Botswana
| | - Kirti Ranchod
- Lufuno Neuropsychiatry Centre, Johannesburg, South Africa
| | - Kirsten Bobrow
- Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Udunna Anazodo
- Lawson Health Research Institute / Department of Medical Biophysics, Western University, London, Ontario, Canada
| | - Albertino Damasceno
- Department of Cardiology, Faculty of Medicine, Eduardo Mondlane University, Maputo, Mozambique
| | - Sudha Seshadri
- Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, Texas, USA
| | - Margaret Pericak-Vance
- John T. Hussman Institute for Human Genomics and the Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - Brian Lawlor
- Global Brain Health Institute, Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Bruce L Miller
- Global Brain Health Institute, Memory and Aging Center, University of California, San Francisco, California, USA
| | - Mayowa Owolabi
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Centre for Genomic and Precision Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Neurology, University College Hospital, Ibadan, Nigeria
| | - Olusegun Baiyewu
- Department of Psychiatry University College Hospital/College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Richard Walker
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Medicine, North Tyneside General Hospital, North Shields, UK
| | - Oye Gureje
- Department of Psychiatry University College Hospital/College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Rajesh N Kalaria
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Translational and Clinical Research Institute, Newcastle University, Newcastle, UK
| | - Adesola Ogunniyi
- Neuroscience and Ageing Research Unit, Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Nigeria
- Department of Neurology, University College Hospital, Ibadan, Nigeria
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8
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Liu XH, He Y, Zhang Q, Zeng TS, Zhang JY, Min J, Tian SH, Huang H, Wang W, Dong F, Wang P, Zhang L, Shuang Z, Chen LL, Hu X. Catch-up fat in male adults induces low testosterone and consequently promotes metabolic abnormalities and cognitive impairment. Andrology 2022; 10:871-884. [PMID: 35340131 DOI: 10.1111/andr.13177] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Revised: 03/15/2022] [Accepted: 03/16/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Catch-up fat in adult (CUFA) caused by rapid nutrition promotion after undernutrition plays an important role in the epidemic of insulin resistance-related diseases in developing societies. Insulin resistance is considered to be closely associated with reduced testosterone levels and cognitive function. However, the effects of CUFA on testosterone levels and cognitive function are unclear in males. OBJECTIVES To investigate the changes of testosterone levels and cognitive function in CUFA in male humans and rats, and explore their probable relationship and mechanisms in rats. MATERIALS AND METHODS The blood testosterone levels, fasting glucose, and blood insulin (FINS) were measured in subpopulation 1 (27 CUFA individuals, 61 controls without CUFA) aged 40-50 years to show the characteristics of sex hormone levels and the metabolic status in CUFA men. Cognitive Flexibility Inventory was conducted in subpopulation 2 (54 CUFA individuals, 214 controls) over 20 years to investigate the associations between sex hormone levels, cognitive function, and CUFA. Male rats (n = 27) were randomly allocated to NC group (normal chow controls), RN group (CUFA, refeeding after caloric restriction), and RT group (RN with testosterone intramuscular injected while refeeding). The blood testosterone levels, intraperitoneal insulin tolerance test (IPITT), and FINS were measured, and the attentional set-shifting task test (ASST) for the assessment of cognitive function was performed in these animals. Insulin signaling pathway, N-methyl-d-aspartate receptors subtype 2A (NR2A) and 2B (NR2B) expression levels were determined in the rat cerebral cortex. RESULTS The total testosterone levels decreased (medium [IQRs], 13.43[9.87-18.96] vs 15.58[13.37-24.96], P = 0.036), and HOMA-IR (Homeostatic Model Assessment for Insulin Resistance) elevated (1.61[1.08-2.33] vs 1.24[0.87-1.87], P = 0.037) in CUFA men in subpopulation 1. Additionally, cognitive impairment was observed in CUFA men in subpopulation 2. Moreover, our results indicated decreases in total and free testosterone levels, elevations in visceral lipid accumulation, FINS, HOMA-IR, blood glucose and the area under the curve (AUC) after IPITT, increases in the number of trials required to achieve the criterion of the first reversal of discrimination (R1) in ASST, and downregulation of IRS-1 mRNA expression, AKT phosphorylation, and the NR2A and NR2B expression in brain tissue in male CUFA rats. Notably, testosterone supplementation improved visceral lipid accumulation and insulin resistance-related metabolic disorders, cognitive dysfunction, decreases in IRS-1 mRNA expression, Akt phosphorylation, and NR2A and NR2B expression in brain tissue in male CUFA rodents. DISCUSSION AND CONCLUSION CUFA was characterized by reduced testosterone levels, metabolic abnormalities, and cognitive dysfunction in males, and testosterone supplementation attenuated these changes, as well as the alteration in insulin signaling and NR2A and NR2B expression in male CUFA rodents. Herein, we tentatively put forward that CUFA in males induces low testosterone, consequently promoting metabolic abnormalities and cognitive impairment probably mediated by defects in insulin signaling and NR2A, NR2B pathway in brain tissue. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Xiao-Huan Liu
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Yi He
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Qiao Zhang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tian-Shu Zeng
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Jiao-Yue Zhang
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Jie Min
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Sheng-Hua Tian
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | | | | | | | - Ping Wang
- Precision Health Program, Department of Radiology, College of Human Medicine, Michigan State University, East Lansing, Michigan, 48823, USA
| | - Linwei Zhang
- Department of Neurology, China-Japan Friendship Hospital, Beijing, China
| | - Zhenyu Shuang
- Department of Endocrinology, Yueyang People's Hosptial, Yueyang, China
| | - Lu-Lu Chen
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
| | - Xiang Hu
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China
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9
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McGrattan AM, Zhu Y, Richardson CD, Mohan D, Soh YC, Sajjad A, van Aller C, Chen S, Paddick SM, Prina M, Siervo M, Robinson LA, Stephan BC. Prevalence and Risk of Mild Cognitive Impairment in Low and Middle-Income Countries: A Systematic Review. J Alzheimers Dis 2021; 79:743-762. [DOI: 10.3233/jad-201043] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
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.
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Affiliation(s)
| | - Yueping Zhu
- Department of Psychology and Behavioral Science, Zhejiang University, Hangzhou, China
| | | | - Devi Mohan
- Global Public Health, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Malaysia
- South East Asia Community Observatory (SEACO), Monash University Malaysia, Segamat, Malaysia
| | - Yee Chang Soh
- Global Public Health, Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Malaysia
- South East Asia Community Observatory (SEACO), Monash University Malaysia, Segamat, Malaysia
| | - Ayesha Sajjad
- Erasmus School of Health Policy and Management; Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Carla van Aller
- Population Health Sciences Institute, Newcastle University, UK
| | - Shulin Chen
- Department of Psychology and Behavioral Science, Zhejiang University, Hangzhou, China
| | - Stella-Maria Paddick
- Translational and Clinical Research Institute, Newcastle University, UK
- Gateshead NHS Community Health Foundation Trust, Gateshead, UK
| | - Matthew Prina
- Social Epidemiology Research Group, Health Service and Population Research Department, King’s College London, London, UK
| | - Mario Siervo
- School of Life Sciences, The University of Nottingham Medical School, Nottingham, UK
| | | | - Blossom C.M. Stephan
- Institute of Mental Health, Division of Psychiatry and Applied Psychology, Nottingham University, UK
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10
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Jésus P, Marin B, Pilleron S, Guerchet M, Mbelesso P, Ndamba-Bandzouzi B, Preux PM, Fayemendy P, Desport JC. Predictive formulas for estimation of height in sub-Saharan African older people: A new formula (EPIDEMCA study). Nutrition 2020; 73:110725. [PMID: 32135414 DOI: 10.1016/j.nut.2020.110725] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 01/07/2020] [Accepted: 01/09/2020] [Indexed: 11/16/2022]
Abstract
OBJECTIVES Chumlea's formulas are a way of predicting height from knee height (KHt), including among individuals >60 y of age who cannot stand upright. However, the formulas were developed with white and African American people and have not yet been validated in native Africans >60 y of age. The aims of the study were to assess Chumlea's formulas in older people in central Africa and to propose a new validated formula for the same population. METHODS Height (MHt) and KHt were measured in a population of individuals >65 y of age from the Republic of Congo and the central African Republic. Predicted height (PHt) was calculated using Chumlea's formulas for the American black population (CBP) and for whites (CC). The percentages of accurate predictions (±5 cm) were compared between MHt and PHt. A new formula was estimated after randomization in a derivation sample (n = 877) and assessed for accuracy in a validation sample (n = 877). RESULTS The study included 1754 individuals. Prediction was accurate (±5 cm) in 66.8% and 63.2% of CBP and CC, respectively. Overestimation was as high as 24.1% and 29%, respectively. Because an overestimation is unacceptable in clinical practice and population surveys, a new formula was proposed: height (cm) = 72.75 + (1.86 × KHt [cm]) - (0.13 × age [y]) + 3.41 × sex (0: women; 1: men). This new formula significantly increases accuracy (71.3%) and decreases overestimation (14.7%). The nutritional status based on body mass index did not differ with the MHt and the PHt by the new formula. CONCLUSION Chumlea's formulas provided a poor estimate of height in this population sample. The proposed formula more accurately estimates height in older native Africans. This formula should be tested in other sub-Saharan African countries to extend its use in clinical practice and in future studies.
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Affiliation(s)
- Pierre Jésus
- Nutrition Unit, University Hospital of Limoges, Limoges, France; INSERM, U1094, Tropical Neuroepidemiology, Limoges, France; Univ. Limoges, U1094, Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France; IRD, Associated Unit, Tropical Neuroepidemiology, Limoges, France.
| | - Benoit Marin
- INSERM, U1094, Tropical Neuroepidemiology, Limoges, France; Univ. Limoges, U1094, Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France; IRD, Associated Unit, Tropical Neuroepidemiology, Limoges, France; Center of Epidemiology, Biostatistics and Research Methodology, University Hospital of Limoges, France
| | - Sophie Pilleron
- INSERM, U1094, Tropical Neuroepidemiology, Limoges, France; Univ. Limoges, U1094, Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France; IRD, Associated Unit, Tropical Neuroepidemiology, Limoges, France
| | - Maëlenn Guerchet
- Nutrition Unit, University Hospital of Limoges, Limoges, France; INSERM, U1094, Tropical Neuroepidemiology, Limoges, France; Univ. Limoges, U1094, Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France; IRD, Associated Unit, Tropical Neuroepidemiology, Limoges, France; King's College London, Centre for Global Mental Health, Institute of Psychiatry, Psychology and Neuroscience, Health Service and Population Research Department, London, UK
| | - Pascal Mbelesso
- INSERM, U1094, Tropical Neuroepidemiology, Limoges, France; Univ. Limoges, U1094, Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France; IRD, Associated Unit, Tropical Neuroepidemiology, Limoges, France; Neurology Department, Amitié Hospital, Bangui, Central African Republic
| | - Bébène Ndamba-Bandzouzi
- INSERM, U1094, Tropical Neuroepidemiology, Limoges, France; Univ. Limoges, U1094, Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France; IRD, Associated Unit, Tropical Neuroepidemiology, Limoges, France; Neurology Department, University Hospital of Brazzaville, Brazzaville, Republic of Congo
| | - Pierre-Marie Preux
- INSERM, U1094, Tropical Neuroepidemiology, Limoges, France; Univ. Limoges, U1094, Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France; IRD, Associated Unit, Tropical Neuroepidemiology, Limoges, France; Center of Epidemiology, Biostatistics and Research Methodology, University Hospital of Limoges, France
| | - Philippe Fayemendy
- Nutrition Unit, University Hospital of Limoges, Limoges, France; INSERM, U1094, Tropical Neuroepidemiology, Limoges, France; Univ. Limoges, U1094, Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France; IRD, Associated Unit, Tropical Neuroepidemiology, Limoges, France
| | - Jean-Claude Desport
- Nutrition Unit, University Hospital of Limoges, Limoges, France; INSERM, U1094, Tropical Neuroepidemiology, Limoges, France; Univ. Limoges, U1094, Tropical Neuroepidemiology, Institute of Epidemiology and Tropical Neurology, GEIST, Limoges, France; IRD, Associated Unit, Tropical Neuroepidemiology, Limoges, France
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11
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Choi M, Kim M. Living a Daily Life With Self-Awareness Among Older Adults With Mild Cognitive Impairment. Res Gerontol Nurs 2020; 13:41-48. [PMID: 31697392 DOI: 10.3928/19404921-20191025-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Accepted: 05/30/2019] [Indexed: 11/20/2022]
Abstract
The current study aimed to understand how older adults with mild cognitive impairment (MCI) perceived their condition following diagnosis and to explain the process of coping with concomitant changes in their lives. Using theoretical sampling methods, in-depth interviews were conducted between August 2015 and September 2017 in 20 older adults with MCI; the collected data were analyzed using the constant comparative method. The core category was living a daily life with self-awareness. The four stages of daily life experience among participants were accepting their diagnosis, strengthening their volition, taking care of their health, and maintaining a daily life with self-awareness. After being diagnosed with MCI, participants were more attentive to behaviors in their daily lives. Participants accepted their diagnosis as well as changes to their lifestyles to avoid causing inconvenience to others. [Research in Gerontological Nursing, 13(1), 41-48.].
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12
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Kwan RYC, Kwan CW, Bai X, Chi I. Cachexia and Cognitive Function in the Community-Dwelling Older Adults: Mediation Effects of Oral Health. J Nutr Health Aging 2020; 24:230-236. [PMID: 32003416 DOI: 10.1007/s12603-019-1303-x] [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] [Indexed: 11/28/2022]
Abstract
BACKGROUND Cognitive impairment and poor oral health are common problems in older adults and are associated with malnutrition. However, it is unclear how they are related to cachexia in community-dwelling older adults. The aim of this study was to examine the relationships among cachexia, cognitive function, and oral health in community-dwelling older adults. METHODS This study is a secondary analysis of a data-set. Data were collected in the community setting on older adults who applied for government-funded long-term care services in Hong Kong in 2017. Subjects were community-dwelling and aged ≥60 years. The outcome variable was cachexia. The predictors were cognitive function and oral health. The covariates included demographics and comorbidities associated with cachexia or malnutrition. Path analysis was employed to examine the associations among cachexia, cognitive function, and oral health using the software SAS/STAT and Mplus. RESULTS This analysis included 12,940 subjects. The prevalence of cachexia was 1.3%. Cognitive function was also found to have a direct effect on the oral health indicators of chewing problems (OR=1.073, p<0.001), brushing teeth problems (OR=1.349, p<0.001), and swallowing problems (coeff.=0.177, p<0.001). Oral health indicators with a direct effect on cachexia included dry mouth (OR=1.250, p<0.001), brushing teeth problems (OR = 1.185, p<0.01), and swallowing problems (OR=1.231, p<0.001). Cognitive function had no significant direct effect, but had a significant indirect effect on cachexia (OR=1.100, p<0.001) which is mediated by brushing teeth problems (OR=1.052, p<0.001) and swallowing problems (OR=1.038, p<0.001). CONCLUSION Cognitive impairment causes cachexia indirectly through poor oral health. This study recommends adding cognitive function when screening community-dwelling older adults for cachexia. Health policymakers should stress regular oral health screening and interventions, and encourage increased utilization of oral health services by community-dwelling older adults with cognitive problems.
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Affiliation(s)
- R Y C Kwan
- Professor Iris Chi, 669 W. 34th Street, Los Angeles, CA 90089-0411, , Tel: 1-213-8211360
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13
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Houle B, Gaziano T, Farrell M, Gómez-Olivé FX, Kobayashi LC, Crowther NJ, Wade AN, Montana L, Wagner RG, Berkman L, Tollman SM. Cognitive function and cardiometabolic disease risk factors in rural South Africa: baseline evidence from the HAALSI study. BMC Public Health 2019; 19:1579. [PMID: 31775713 PMCID: PMC6882146 DOI: 10.1186/s12889-019-7938-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2019] [Accepted: 11/11/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Evidence on cognitive function in older South Africans is limited, with few population-based studies. We aimed to estimate baseline associations between cognitive function and cardiometabolic disease risk factors in rural South Africa. METHODS We use baseline data from "Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in South Africa" (HAALSI), a population-based study of adults aged 40 and above in rural South Africa in 2015. Cognitive function was measured using measures of time orientation, immediate and delayed recall, and numeracy adapted from the Health and Retirement Study cognitive battery (overall total cognitive score range 0-26). We used multiple linear regression to estimate associations between cardiometabolic risk factors (including BMI, hypertension, dyslipidemia, diabetes, history of stroke, alcohol frequency, and smoking status) and the overall cognitive function score, adjusted for potential confounders. RESULTS In multivariable-adjusted analyses (n = 3018; male = 1520; female = 1498; median age 59 (interquartile range 50-67)), cardiometabolic risk factors associated with lower cognitive function scores included: diabetes (b = - 1.11 [95% confidence interval: - 2.01, - 0.20] for controlled diabetes vs. no diabetes); underweight BMI (b = - 0.87 [CI: - 1.48, - 0.26] vs. normal BMI); and current and past smoking history compared to never smokers. Factors associated with higher cognitive function scores included: obese BMI (b = 0.74 [CI: 0.39, 1.10] vs. normal BMI); and controlled hypertension (b = 0.53 [CI: 0.11, 0.96] vs. normotensive). CONCLUSIONS We provide an important baseline from rural South Africa on the associations between cardiometabolic disease risk factors and cognitive function in an older, rural South African population using standardized clinical measurements and cut-offs and widely used cognitive assessments. Future studies are needed to clarify temporal associations as well as patterns between the onset and duration of cardiometabolic conditions and cognitive function. As the South African population ages, effective management of cardiometabolic risk factors may be key to lasting cognitive health.
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Affiliation(s)
- Brian Houle
- School of Demography, The Australian National University, ACT, Canberra, Australia
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa
- Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA
| | - Thomas Gaziano
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Harvard University, Boston, MA, USA
| | - Meagan Farrell
- Harvard Center for Population and Development Studies, Harvard University, Cambridge, MA, USA
| | - F Xavier Gómez-Olivé
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa
- Harvard Center for Population and Development Studies, Harvard University, Cambridge, MA, USA
- INDEPTH Network, East Legon, Accra, Ghana
| | - Lindsay C Kobayashi
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Nigel J Crowther
- Department of Chemical Pathology, National Health Laboratory Service, University of the Witwatersrand Faculty of Health Sciences, Johannesburg, South Africa
| | - Alisha N Wade
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa
| | - Livia Montana
- Harvard Center for Population and Development Studies, Harvard University, Cambridge, MA, USA
| | - Ryan G Wagner
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa
- INDEPTH Network, East Legon, Accra, Ghana
- Centre for Global Health Research, Umeå University, Umeå, Sweden
| | - Lisa Berkman
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa
- Harvard Center for Population and Development Studies, Harvard University, Cambridge, MA, USA
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Departments of Social and Behavioral Sciences and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Stephen M Tollman
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, 2193, South Africa.
- INDEPTH Network, East Legon, Accra, Ghana.
- Centre for Global Health Research, Umeå University, Umeå, Sweden.
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Liu Y, Chen H, Zhao K, He W, Lin S, He J. High levels of plasma fibrinogen are related to post-stroke cognitive impairment. Brain Behav 2019; 9:e01391. [PMID: 31475471 PMCID: PMC6790326 DOI: 10.1002/brb3.1391] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Revised: 06/30/2019] [Accepted: 07/28/2019] [Indexed: 01/01/2023] Open
Abstract
INTRODUCTION Studies have shown that high levels of the fibrinogen (FIB) are related to cognitive deficits. However, the relationship between fibrinogen and cognitive deficit after stroke remains unclear. Therefore, we explored the relationship between plasma fibrinogen and post-stroke cognitive impairment (PSCI). METHODS This study is carried out in the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China. A total of 210 patients with acute ischemic stroke were enrolled in this study. Ultimately, 134 patients completed 3-month follow-up. Blood samples were collected at hospital admission. Cognitive function was evaluated 3 months after stroke. All patients underwent the Mini-Mental State Examination (MMSE) after 3 months. RESULTS Higher levels of fibrinogen were observed in patients with post-stroke cognitive impairment compared with the non-PSCI group (p < .001). Additionally, elevated plasma fibrinogen levels were independently associated with PSCI (odds ratio [OR] = 2.000, 95% CI 1.062-3.770 p = .032). The plasma fibrinogen levels were negatively correlated with the 3-month MMSE scores (r = -.171, p = .048). In a multivariate linear regression, FIB was negatively associated with the 3-month MMSE scores after adjustment for the other variables (β = -0.782, p = .035). CONCLUSION High levels of plasma fibrinogen were associated with the presence and severity of PSCI.
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Affiliation(s)
- Yuntao Liu
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Huijun Chen
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Kai Zhao
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Weilei He
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Shasha Lin
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Jincai He
- Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
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PESSOA REBECAMENDESP, BOMFIM ANAJULIAL, FERREIRA BIANCALCAVALMORETTI, CHAGAS MARCOSHORTESN. Diagnostic criteria and prevalence of mild cognitive impairment in older adults living in the community: a systematic review and meta-analysis. ARCH CLIN PSYCHIAT 2019. [DOI: 10.1590/0101-60830000000197] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Affiliation(s)
| | | | | | - MARCOS HORTES N. CHAGAS
- University of São Paulo, Brazil; Federal University of São Carlos, Brazil; Federal University of São Carlos, Brazil
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16
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Aging, Mastication, and Malnutrition and Their Associations with Cognitive Disorder: Evidence from Epidemiological Data. ACTA ACUST UNITED AC 2019. [DOI: 10.1007/s40496-019-0220-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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17
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Kobayashi LC, Mateen FJ, Montana L, Wagner RG, Kahn K, Tollman SM, Berkman LF. Cognitive Function and Impairment in Older, Rural South African Adults: Evidence from "Health and Aging in Africa: A Longitudinal Study of an INDEPTH Community in Rural South Africa". Neuroepidemiology 2018; 52:32-40. [PMID: 30476911 DOI: 10.1159/000493483] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2018] [Accepted: 09/02/2018] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND/AIMS We aimed to estimate the prevalence of cognitive impairment, and the sociodemographic and comorbid predictors of cognitive function among older, rural South African adults. METHODS Data were from a population-based study of 5,059 adults aged ≥40 years in rural South Africa in 2015. Cognitive impairment was defined as scoring ≤1.5 SDs below the mean composite time orientation and memory score, or requiring a proxy interview with "fair" or "poor" proxy-reported memory. Multiple linear regression estimated the sociodemographic and comorbid predictors of cognitive score, with multiplicative statistical interactions between each of age and sex with education. RESULTS Cognitive impairment increased with age, from 2% of those aged 40-44 (11/516) to 24% of those aged ≥75 years (214/899). The independent predictors of lower cognitive score were being older, female, unmarried, not working, having low education, low household wealth, and a history of cardiovascular conditions. Education modified the negative associations between female sex, older age, and cognitive function score. CONCLUSIONS The prevalence of cognitive impairment increased with age and is comparable to rates of dementia reported in other sub-Saharan African countries. Age and sex differences in cognitive function scores were minimized as education increased, potentially reflecting the power of even poor-quality education to improve cognitive reserve.
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Affiliation(s)
- Lindsay C Kobayashi
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia, USA.,Harvard Center for Population and Development Studies, Harvard T.H. Chan School of Public Health, Cambridge, Massachusetts, USA
| | - Farrah J Mateen
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Harvard Medical School, Boston, Massachusetts, USA
| | - Livia Montana
- Harvard Center for Population and Development Studies, Harvard T.H. Chan School of Public Health, Cambridge, Massachusetts, USA
| | - Ryan G Wagner
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Centre for Global Health Research, Umeå University, Umeå, Sweden
| | - Kathleen Kahn
- Harvard Center for Population and Development Studies, Harvard T.H. Chan School of Public Health, Cambridge, Massachusetts, USA.,MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Centre for Global Health Research, Umeå University, Umeå, Sweden.,INDEPTH Network, Accra, Ghana
| | - Stephen M Tollman
- Harvard Center for Population and Development Studies, Harvard T.H. Chan School of Public Health, Cambridge, Massachusetts, USA.,MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Centre for Global Health Research, Umeå University, Umeå, Sweden.,INDEPTH Network, Accra, Ghana
| | - Lisa F Berkman
- Harvard Center for Population and Development Studies, Harvard T.H. Chan School of Public Health, Cambridge, Massachusetts, USA, .,MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa,
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18
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Espinosa Del Pozo PH, Espinosa PS, Donadi EA, Martinez EZ, Salazar-Uribe JC, Guerrero MA, Moriguti JC, Colcha MC, Garcia SE, Naranjo R, Altamirano WE, Koek AY. Cognitive Decline in Adults Aged 65 and Older in Cumbayá, Quito, Ecuador: Prevalence and Risk Factors. Cureus 2018; 10:e3269. [PMID: 30430058 PMCID: PMC6221535 DOI: 10.7759/cureus.3269] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Objective To assess the prevalence of and risk factors for cognitive decline and dementia in individuals greater than 65 years of age in Cumbayá, Quito, Ecuador. Methods This is a cross-sectional observational study that was carried out in adults over age 65. The Mini Mental State Examination (MMSE), Ascertain Dementia Eight-Item Informant Questionnaire (AD8), and Mini Nutritional Assessment (MNA) were used to assess the cognitive status and nutritional habits of this population. Results A total of 144 patients (mean age 75.3 years, 77.1% female) participated in this study. Forty percent of patients had AD8 and MMSE scores consistent with cognitive impairment and possible dementia. Age (p < 0.01), lower educational level (p < 0.01), history of stroke (p < 0.01), history of intracerebral hemorrhage (p < 0.01), diabetes mellitus (p < 0.01), and malnutrition (p < 0.01) were statistically significant risk factors for cognitive impairment. Exercise was found to be protective against cognitive decline in our study group (p < 0.03). Gender, ethnicity, location, head trauma, Parkinson disease, hypercholesterolemia, myocardial infarction, thyroid disease, depression, anxiety, and family history of dementia were not found to be associated with cognitive decline in this population. Conclusions The prevalence of cognitive impairment and possible dementia is 18–21% at age 65 and 54–60% at age 85 in Cumbayá, Quito, Ecuador. The major risk factors for cognitive impairment in this population are age, low educational level, malnutrition, prior stroke, prior intracerebral hemorrhage, and diabetes. Protective factors for cognitive decline include exercise and possibly modest consumption of alcohol.
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Affiliation(s)
| | - Patricio S Espinosa
- Neurology, Marcus Neuroscience Institute, Boca Raton Regional Hospital, Boca Raton, USA
| | - Eduardo A Donadi
- Departamento De Clinica, Facultad De Medicina Ribeirão Preto, Universidad De São Paulo, Ribeirão Preto, BRA
| | - Edson Z Martinez
- Social Medicine, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, BRA
| | - Juan C Salazar-Uribe
- Statistics, Universidad Nacional De Colombia (national University of Colombia), Medellín, COL
| | - Marco A Guerrero
- Neurosciences Unit, College of Medical Sciences, Central University of Ecuador, Quito, ECU
| | - Julio C Moriguti
- Departamento De Geriatria, Facultad De Medicina Ribeirão Preto, Universidad De São Paulo, Ribeirão, BRA
| | - Mishell C Colcha
- Neurosciences Unit, College of Medical Sciences, Central University of Ecuador, Quito, ECU
| | - Susana E Garcia
- Unidad De Neurociencias, Facultad De Ciencias Médicas, Universidad Central Del Ecuador, Quito, ECU
| | - Raquel Naranjo
- Neurosciences Unit, College of Medical Sciences, Central University of Ecuador, Quito, ECU
| | - Wilson E Altamirano
- Neurosciences Unit, College of Medical Sciences, Central University of Ecuador, Quito, ECU
| | - Adriana Y Koek
- Clinical Biomedical Science, Florida Atlantic University Charles E. Schmidt College of Medicine, Boca Raton, USA
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Jésus P, Guerchet M, Pilleron S, Fayemendy P, Maxime Mouanga A, Mbelesso P, Preux PM, Desport JC. Undernutrition and obesity among elderly people living in two cities of developing countries: Prevalence and associated factors in the EDAC study. Clin Nutr ESPEN 2017; 21:40-50. [PMID: 30014868 DOI: 10.1016/j.clnesp.2017.05.007] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 04/24/2017] [Accepted: 05/30/2017] [Indexed: 01/16/2023]
Abstract
BACKGROUND Nutritional status among elderly people living in Sub-Saharan Africa is poorly studied, even though undernutrition and obesity are known to cause many complications and are risk factors for progression and death in several diseases. The aims of this study were to assess the nutritional status of the elderly in Central Africa and to study the factors associated with nutritional disorders (undernutrition and obesity). METHODS Two cross-sectional population-based studies were carried out in the capitals of Central African Republic (CAR) and Republic of Congo (ROC) between 2008 and 2009. Participants were aged ≥65 years old and underwent nutritional assessment including the following measurements: weight, height, body mass index (BMI), waist circumference (WC). Diet was also investigated. Nutritional status was defined according to the WHO BMI classification (<18.5 = undernutrition; ≥30 = obesity). Multinomial regression analysis was performed in order to identify factors associated with nutritional status. RESULTS 990 elderly people underwent nutritional assessment (482 in CAR and 508 in ROC). Mean BMI was 22.7 ± 4.8 kg/m2. The prevalence of undernutrition was 19.2% and was lower in ROC than in CAR (9.5% vs. 29.5%; p < 0.0001). The prevalence of obesity was 8.8% and was higher in ROC than in CAR (14.6% vs. 2.7%; p < 0.0001). The mean WC was 85.3 ± 28.4 cm. Adjusted on study site, increasing age (OR = 1.6 [95% CI: 1.1-2.3] for 75-84 years, OR = 2.6 [95% CI: 1.4-4.8] for 85+ years), occupation as farmer/breeder (OR = 2.2 [95% CI: 1.1-4.2]), smoking (OR = 1.71 [95% CI: 1.14-2.56]) and low sugar consumption (OR = 1.7 [95% CI: 1.1-2.7]) were positively associated with undernutrition whereas only female sex was positively associated with obesity (OR = 5.0 [95% CI: 2.2-11.0]). CONCLUSIONS The prevalence of undernutrition is high in the elderly population of these countries, in contrast to obesity. Undernutrition and obesity are associated with different socio-economic factors and food consumption. Simple nutritional advice could contribute to improving the nutritional status of elderly people in Central Africa.
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Affiliation(s)
- Pierre Jésus
- INSERM UMR1094, Tropical Neuroepidemiology, School of Medicine of Limoges, Limoges, France; Institute of Neuroepidemiology and Tropical Neurology, CNRS FR 3503 GEIST, University of Limoges, Limoges, France; Nutrition Unit, Centre for Severe Obesity and Expert Centre for Home Parenteral Nutrition, Dupuytren University Hospital of Limoges, Limoges, France.
| | - Maëlenn Guerchet
- INSERM UMR1094, Tropical Neuroepidemiology, School of Medicine of Limoges, Limoges, France; Institute of Neuroepidemiology and Tropical Neurology, CNRS FR 3503 GEIST, University of Limoges, Limoges, France; King's College London, Centre for Global Mental Health, Institute of Psychiatry, Psychology and Neuroscience, Health Service and Population Research Department, UK
| | - Sophie Pilleron
- INSERM UMR1094, Tropical Neuroepidemiology, School of Medicine of Limoges, Limoges, France; Institute of Neuroepidemiology and Tropical Neurology, CNRS FR 3503 GEIST, University of Limoges, Limoges, France
| | - Philippe Fayemendy
- INSERM UMR1094, Tropical Neuroepidemiology, School of Medicine of Limoges, Limoges, France; Institute of Neuroepidemiology and Tropical Neurology, CNRS FR 3503 GEIST, University of Limoges, Limoges, France; Nutrition Unit, Centre for Severe Obesity and Expert Centre for Home Parenteral Nutrition, Dupuytren University Hospital of Limoges, Limoges, France
| | - Alain Maxime Mouanga
- INSERM UMR1094, Tropical Neuroepidemiology, School of Medicine of Limoges, Limoges, France; Institute of Neuroepidemiology and Tropical Neurology, CNRS FR 3503 GEIST, University of Limoges, Limoges, France; Psychiatry Department, University Hospital of Brazzaville, Brazzaville, Congo
| | - Pascal Mbelesso
- INSERM UMR1094, Tropical Neuroepidemiology, School of Medicine of Limoges, Limoges, France; Institute of Neuroepidemiology and Tropical Neurology, CNRS FR 3503 GEIST, University of Limoges, Limoges, France; Neurology Department, Amitié Hospital, Bangui, Central African Republic
| | - Pierre Marie Preux
- INSERM UMR1094, Tropical Neuroepidemiology, School of Medicine of Limoges, Limoges, France; Institute of Neuroepidemiology and Tropical Neurology, CNRS FR 3503 GEIST, University of Limoges, Limoges, France; Medical Information & Evaluation, Clinical Research and Biostatistics Unit, University Hospital of Limoges, Limoges, France
| | - Jean Claude Desport
- INSERM UMR1094, Tropical Neuroepidemiology, School of Medicine of Limoges, Limoges, France; Institute of Neuroepidemiology and Tropical Neurology, CNRS FR 3503 GEIST, University of Limoges, Limoges, France; Nutrition Unit, Centre for Severe Obesity and Expert Centre for Home Parenteral Nutrition, Dupuytren University Hospital of Limoges, Limoges, France
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20
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Validity of equations using knee height to predict overall height among older people in Benin. Nutrition 2017; 42:46-50. [PMID: 28870478 DOI: 10.1016/j.nut.2017.05.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2017] [Revised: 04/21/2017] [Accepted: 05/31/2017] [Indexed: 12/12/2022]
Abstract
OBJECTIVES Chumlea's formulas are a validated means of predicting overall height from knee height (KH) among people >60 y of age, but, to our knowledge, no formula is validated for use in African countries, including Benin. The aim of this study was to compare height provided by predictive formulas using KH to measured height in an elderly population in Benin. METHODS Individuals >60 y of age in Benin underwent nutritional assessment with determination of weight, body mass index (BMI), height, and KH. A Bland-Altman analysis was carried out by sex and age. The percentage of predictions accurate to ±5 cm compared with the measured height was calculated. The tested formulas were Chumlea's formulas for non-Hispanic Black people (CBP) and two formulas for use among Caucasians. RESULTS Data from 396 individuals (81.1% male) were analyzed. The three formulas achieved 98% accuracy, but with 4.6% risk for error (±2 SD: -6 to +9 cm), which appeared to make them unfit for the whole population. Nevertheless, if a level of prediction ±5 cm is considered acceptable in clinical practice, the CBP formula achieved 83.1% accuracy. Moreover, there was no significant difference in BMI calculated with the measured and the predicted height, and the nutritional status based on BMI did not differ. CONCLUSION CBP formulas seem applicable in 83% of cases (±5 cm) to assess the height with KH of older people in Benin and do not overestimate the prevalence of malnutrition.
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21
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Lee YS, Kim SD, Kang HJ, Kim SW, Shin IS, Yoon JS, Kim JM. Associations of Upper Arm and Thigh Circumferences with Dementia and Depression in Korean Elders. Psychiatry Investig 2017; 14:150-157. [PMID: 28326112 PMCID: PMC5355012 DOI: 10.4306/pi.2017.14.2.150] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2016] [Revised: 08/03/2016] [Accepted: 08/29/2016] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE Previous studies have reported an association between weight loss and cognitive impairment. Changes in anthropometric measurements, such as arm and thigh circumferences, are associated with body mass changes and physical activity. Our aim was to investigate the association of upper arm and thigh circumferences with dementia and depression in the community-dwelling elderly population. METHODS In total, 2,498 community residents aged 65 years or over were clinically assessed for dementia using the Korean version of the Community Screening Interview for Dementia. Depression was also assessed using the Korean version of the Geriatric Mental State Schedule B3. Arm and thigh circumferences were measured. Complex sample logistic regression was performed to evaluate associations of changes in anthropometric measurements with dementia/depression after controlling for other covariates. RESULTS In the adjusted analyses, there was an independent association between dementia and arm circumference (OR=1.12; 95% CI=1.06-1.19). This association was significant in the females (OR=1.12; 95% CI=1.05-1.19) but not in males (OR=1.07; 95% CI=0.93-1.28). The association between dementia and thigh circumference was not significant in the adjusted analysis (OR=1.03; 95% CI=0.99-1.07). No significant association was found between either upper arm or thigh circumference and depression. CONCLUSION In the older female Korean population, decreased upper arm circumference was associated with dementia and may represent a biological marker for this condition. This association may be explained by nutritional deficits or decreased physical activity.
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Affiliation(s)
- Yong-Seong Lee
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Sang-Dae Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Hee-Ju Kang
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Sung-Wan Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Il-Seon Shin
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Jin-Sang Yoon
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Jae-Min Kim
- Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea
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