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Liu Z, Duan Y, Yang L, Du J, Liu H. Global burden of childhood nutritional deficiencies, 1990-2019. Public Health 2024; 235:26-32. [PMID: 39038426 DOI: 10.1016/j.puhe.2024.06.027] [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: 03/25/2024] [Revised: 05/28/2024] [Accepted: 06/18/2024] [Indexed: 07/24/2024]
Abstract
OBJECTIVES The aim of this study was to estimate the global burden, trends and health inequality of childhood nutritional deficiencies (CND) from 1990 to 2019. STUDY DESIGN This was an epidemiological study. METHODS Data were extracted from the 2019 Global Burden of Disease study. Estimates and 95% uncertainty intervals (UIs) for the rates and numbers were used to evaluate the global burden of CND. Temporal trends in the burden of CND were examined using Joinpoint analysis and average annual percentage changes. To assess health inequality, the slope index was used. RESULTS In 2019, 52 million new cases of CND and 105,000 deaths related to CND were recorded. Additionally, 435 million prevalence cases and 26 million disability-adjusted life years (DALYs) were recorded in the same year. From 1990 to 2019, the incidence rate of CND generally increased globally, except for the years 2010-2017; conversely, the prevalence, death and DALY rates exhibited decreasing trends over the study period. Half of the analysed regions and countries/territories demonstrated decreasing trends in the incidence, prevalence, death and DALY rates associated with CND. The incidence and prevalence of CND remained high in low-middle sociodemographic index (SDI) and low-SDI regions; however, they exhibited decreasing trends over the 30-year study period. The slope indexes showed that there were no significant changes in SDI-related inequality over 30 years. CONCLUSIONS Despite decreasing trends in the prevalence, death and DALY rates associated with CND over the three decades, the degree of inequality related to SDI in the burden of nutritional deficiencies has not shown a significant decline. In summary, CND remain a major public health burden in middle-SDI and low-SDI countries.
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Affiliation(s)
- Zihao Liu
- School of Public Health, Bengbu Medical University, Donghai Avenue 2600, Bengbu, China.
| | - Ying Duan
- School of Public Health, Bengbu Medical University, Donghai Avenue 2600, Bengbu, China.
| | - Ling Yang
- School of Public Health, Bengbu Medical University, Donghai Avenue 2600, Bengbu, China.
| | - Jing Du
- School of Public Health, Bengbu Medical University, Donghai Avenue 2600, Bengbu, China.
| | - Huaqing Liu
- School of Public Health, Bengbu Medical University, Donghai Avenue 2600, Bengbu, China.
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Lewis ET, Anstey KJ, Radford K, Mealing N, Cardona M, Withall A, Rockwood K, Peters R. Levels of frailty and frailty progression in older urban- and regional-living First Nations Australians. Maturitas 2024; 183:107962. [PMID: 38461558 DOI: 10.1016/j.maturitas.2024.107962] [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] [Received: 10/31/2023] [Revised: 02/25/2024] [Accepted: 02/27/2024] [Indexed: 03/12/2024]
Abstract
OBJECTIVES To explore the prevalence of frailty, association between frailty and mortality, and transitions between frailty states in urban- and regional-living First Nations Australians. STUDY DESIGN Secondary analysis of longitudinal data from the Koori Growing Old Well Study. First Nations Australians aged 60 years or more from five non-remote communities were recruited in 2010-2012 and followed up six years later (2016-2018). Data collected at both visits were used to derive a 38-item Frailty Index (FI). The FI (range 0-1.0) was classified as robust (<0.1), pre-frail (0.1- < 0.2), mildly (0.2- < 0.3), moderately (0.3- < 0.4) or severely frail (≥0.4). MAIN OUTCOME MEASURES Association between frailty and mortality, examined using logistic regression and transitions in frailty (the percentage of participants who changed frailty category) during follow-up. RESULTS At baseline, 313 of 336 participants (93 %) had sufficient data to calculate a FI. Median FI score was 0.26 (interquartile range 0.21-0.39); 4.79 % were robust, 20.1 % pre-frail, 31.6 % mildly frail, 23.0 % moderately frail and 20.5 % severely frail. Higher baseline frailty was associated with mortality among severely frail participants (adjusted odds ratio 7.11, 95 % confidence interval 2.51-20.09) but not moderately or mildly frail participants. Of the 153 participants with a FI at both baseline and follow-up, their median FI score increased from 0.26 to 0.28. CONCLUSIONS Levels of frailty in this First Nations cohort are substantially higher than in similar-aged non-Indigenous populations. Screening for frailty before the age of 70 years may be warranted in First Nations Australians. Further research is urgently needed to determine the factors that are driving such high levels of frailty and propose solutions to prevent or manage frailty in this population.
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Affiliation(s)
- Ebony T Lewis
- School of Population Health, Faculty of Medicine & Health, University of New South Wales, Samuels Building, UNSW Sydney, NSW 2052, Australia; School of Psychology, Faculty of Science, University of New South Wales, Mathews Building, UNSW Sydney, NSW 2052, Australia; Australian Ageing Futures Institute, University of New South Wales, UNSW Sydney, NSW 2052, Australia; Neuroscience Research Australia, 139 Barker Street, Randwick, NSW 2031, Australia.
| | - Kaarin J Anstey
- School of Psychology, Faculty of Science, University of New South Wales, Mathews Building, UNSW Sydney, NSW 2052, Australia; Australian Ageing Futures Institute, University of New South Wales, UNSW Sydney, NSW 2052, Australia; Neuroscience Research Australia, 139 Barker Street, Randwick, NSW 2031, Australia.
| | - Kylie Radford
- Australian Ageing Futures Institute, University of New South Wales, UNSW Sydney, NSW 2052, Australia; Neuroscience Research Australia, 139 Barker Street, Randwick, NSW 2031, Australia.
| | - Nicole Mealing
- Neuroscience Research Australia, 139 Barker Street, Randwick, NSW 2031, Australia.
| | - Magnolia Cardona
- School of Psychology, The University of Queensland, McElwain Building, St Lucia, QLD 4072, Australia; Institute for Evidence-Based Healthcare, Bond University, 14 University Drive, Robina, QLD 4266, Australia.
| | - Adrienne Withall
- School of Psychology, Faculty of Science, University of New South Wales, Mathews Building, UNSW Sydney, NSW 2052, Australia; Australian Ageing Futures Institute, University of New South Wales, UNSW Sydney, NSW 2052, Australia.
| | - Kenneth Rockwood
- Division of Geriatric Medicine, Dalhousie University, 5955 Veterans Memorial Lane, Halifax, NS B3H 2E1, Canada.
| | - Ruth Peters
- Australian Ageing Futures Institute, University of New South Wales, UNSW Sydney, NSW 2052, Australia; Neuroscience Research Australia, 139 Barker Street, Randwick, NSW 2031, Australia; The George Institute for Global Health, Faculty of Medicine & Health, University of New South Wales, Level 18/300 Barangaroo Avenue, Barangaroo, NSW 2000, Australia.
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Kasa AS, Traynor V, Drury P. Measuring the effects of nurse-led frailty intervention on community-dwelling older people in Ethiopia: a quasi-experimental study. BMC Geriatr 2024; 24:384. [PMID: 38689218 PMCID: PMC11061989 DOI: 10.1186/s12877-024-04909-2] [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] [Received: 01/02/2024] [Accepted: 03/21/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Despite the critical need, interventions aimed at frailty in sub-Saharan Africa are scarce, attributed to factors such as insufficient healthcare infrastructure, the pressing need to address infectious diseases, maternal and child health issues, and a general lack of awareness. Hence, the aim of this research was to develop, implement, and evaluate the effect of a nurse-led program on frailty and associated health outcomes in community-dwelling older individuals in Ethiopia. METHODS This study utilised a pre-test, post-test, and follow-up single-group quasi-experimental design. The main outcome measure was to determine changes in the frailty levels of older individuals living in communities at three different intervals: initially (T0), immediately after the intervention (T1), and 12 weeks following the intervention (T2). Secondary outcomes were the observed changes in daily living activities, nutritional status, depression levels, and quality of life (QOL), evaluated at each of these data collection points. To analyse changes in frailty and response variables over these periods, Friedman's ANOVA and Cochran's Q test were employed, setting the threshold for statistical significance at P < 0.05. RESULTS Sixty-six older people with a high adherence rate of 97% completed the intervention and the follow-up measurements. Participants had an average age of 66.7 ± 7.9 years, with females comprising 79.4% of the group. Notably, 12 weeks post-intervention, there was a marked decrease in frailty (χ2(2) = 101.05, p < 0.001) and depression scores (χ2(2) = 9.55, p = 0.008) compared to the baseline. However, the changes in depression, physical, mental, and environmental domains of QOL were not sustained for 12 weeks post-intervention. Study participants showed an improvement in nutritional status (χ2(2) = 25.68, p < 0.001), activity of daily living (χ2(2) = 6.00, p = 0.05), and global quality of life (χ2(2) = 20.64, p < 0.001). CONCLUSIONS The nurse-led intervention notably, 12 weeks post-intervention reduced frailty and depression. The intervention improved the nutritional status and some components of the quality of life of the participants. There is a need for further studies, especially with larger participant groups and stronger research designs such as randomized controlled trials (RCTs). TRIAL REGISTRATION ClinicalTrials.gov: NCT05754398 (03/03/2023).
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Affiliation(s)
- Ayele Semachew Kasa
- School of Nursing, Faculty of Science, Medicine, and Health, University of Wollongong, Wollongong (UOW), NSW, Australia.
- Department of Adult Health Nursing, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
| | - Victoria Traynor
- School of Nursing, Faculty of Science, Medicine, and Health, University of Wollongong, Wollongong (UOW), NSW, Australia
| | - Peta Drury
- School of Nursing, Faculty of Science, Medicine, and Health, University of Wollongong, Wollongong (UOW), NSW, Australia
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Davidson SL, Emmence L, Motraghi-Nobes SM, Bickerstaff E, Rayers G, Lyimo G, Kilasara J, Chuwa M, Kisheo F, Kisaruni E, Urasa S, Mitchell E, Dotchin CL, Walker RW. Assessing frailty amongst older people admitted to hospital in a low-income setting: a multicentre study in northern Tanzania. BMC Geriatr 2024; 24:190. [PMID: 38408948 PMCID: PMC10898155 DOI: 10.1186/s12877-024-04789-6] [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] [Received: 04/21/2023] [Accepted: 02/06/2024] [Indexed: 02/28/2024] Open
Abstract
BACKGROUND Populations are ageing globally and Low- and Middle-Income Countries (LMICs) are experiencing the fastest rates of demographic change. Few studies have explored the burden of frailty amongst older people in hospital in LMICs, where healthcare services are having to rapidly adapt to align with the needs of older people. This study aimed to measure the prevalence of frailty amongst older people admitted to hospital in Tanzania and to explore their demographic and clinical characteristics. METHODS This study had a prospective observational design. Over a six-month period, all adults ≥ 60 years old admitted to medical wards in four hospitals in northern Tanzania were invited to participate. They were screened for frailty using the Clinical Frailty Scale (CFS) and the Frailty Phenotype (FP). Demographic and clinical characteristics of interest were recorded in a structured questionnaire. These included the Barthel Index, the Identification of Elderly Africans Instrumental Activities of Daily Living (IADEA-IADL) and Cognitive (IDEA-Cog) screens, the EURO-D depression scale and Confusion Assessment Method. RESULTS 540 adults aged ≥ 60 were admitted, and 308 completed assessment. Frailty was present in 66.6% using the CFS and participants with frailty were significantly older, with lower levels of education and literacy, greater disability, greater comorbidity, poorer cognition and higher levels of delirium. Using the FP, 57.0% of participants were classed as frail though a majority of participants (n = 159, 51.6%) could not be classified due to a high proportion of missing data. CONCLUSIONS This study indicates that the prevalence of frailty on medical wards in northern Tanzania is high according to the CFS. However, the challenges in operationalising the FP in this setting highlight the need for future work to adapt frailty screening tools for an African context. Future investigations should also seek to correlate frailty status with long-term clinical outcomes after admission in this setting.
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Affiliation(s)
- Sean L Davidson
- Newcastle University, Newcastle Upon Tyne, UK.
- Northumbria Healthcare NHS Foundation Trust, Morpeth, UK.
| | | | | | | | | | - Godrule Lyimo
- Kilimanjaro Christian Medical Centre, Moshi, Tanzania
| | - Joseph Kilasara
- Kilimanjaro Christian Medical University College, Moshi, Tanzania
| | - Mary Chuwa
- Mawenzi Regional Referral Hospital, Moshi, Tanzania
| | | | | | - Sarah Urasa
- Kilimanjaro Christian Medical Centre, Moshi, Tanzania
| | | | - Catherine L Dotchin
- Newcastle University, Newcastle Upon Tyne, UK
- Northumbria Healthcare NHS Foundation Trust, Morpeth, UK
| | - Richard W Walker
- Newcastle University, Newcastle Upon Tyne, UK
- Northumbria Healthcare NHS Foundation Trust, Morpeth, UK
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An S, Ouyang W, Wang S, Yuan J, Zhen X. Marital transitions and frailty among middle-aged and older adults in China: The roles of social support. SSM Popul Health 2023; 24:101497. [PMID: 37674978 PMCID: PMC10477746 DOI: 10.1016/j.ssmph.2023.101497] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Revised: 08/19/2023] [Accepted: 08/20/2023] [Indexed: 09/08/2023] Open
Abstract
Background This study explored the association of marital transitions and frailty among Chinese middle-aged and older people and whether this association differs by social support. Methods We used a sample of 12,388 adults aged ≥45 years who participated in the China Health and Retirement Longitudinal Study (CHARLS) between 2015 and 2018. Between-wave changes in marital status ("married at both times", "unmarried to married", "married to unmarried", "unmarried at both times") were used to explore the changes in frailty measured by the frailty index (FI), which was constructed from 55 health variables. Social support was evaluated based on social engagement and intergenerational support. The associations among marital transitions, social support and frailty were analyzed using generalized estimating equations (GEEs). Results The mean FI of 12,388 participants was 0.23 (SD = 0.13). Participants who were married to unmarried (β = 0.014, B = 0.005, P = 0.012) and unmarried at both times (β = 0.022, B = 0.003, P < 0.001) had significant a positive impact on FI compared with participants who were married at both times. Social engagement, financial support by children and providing care to grandchildren had an interactive effect with marital transitions in influencing FI. Conclusions Being unmarried may increase frailty among Chinese middle-aged and older adults. Financial support by children may mitigate the adverse effects of being unmarried on frailty.
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Affiliation(s)
- Shi An
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, No.44 Wenhuaxi Road, Jinan, 250012, Shandong, China
- NHC Key Lab of Health Economics and Policy Research (Shandong University), No.44 Wenhuaxi Road, Jinan, 250012, Shandong, China
| | - Wenwei Ouyang
- Key Unit of Methodology in Clinical Research, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou, China
- Department of Global Public Health, Karolinska Institute, Stockholm, Sweden
| | - Shuangshuang Wang
- School of Public Administration, Southwest Jiaotong University, No.111, North Section l, Second Ring Road, Chengdu, 61003, Sichuan, China
| | - Juan Yuan
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, No.44 Wenhuaxi Road, Jinan, 250012, Shandong, China
- NHC Key Lab of Health Economics and Policy Research (Shandong University), No.44 Wenhuaxi Road, Jinan, 250012, Shandong, China
| | - Xuemei Zhen
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, No.44 Wenhuaxi Road, Jinan, 250012, Shandong, China
- NHC Key Lab of Health Economics and Policy Research (Shandong University), No.44 Wenhuaxi Road, Jinan, 250012, Shandong, China
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Liang YD, Xie YB, Du MH, Shi J, Yang JF, Wang H. Development and Validation of an Electronic Frailty Index Using Routine Electronic Health Records: An Observational Study From a General Hospital in China. Front Med (Lausanne) 2021; 8:731445. [PMID: 34650997 PMCID: PMC8505669 DOI: 10.3389/fmed.2021.731445] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Accepted: 09/02/2021] [Indexed: 02/03/2023] Open
Abstract
Background: This study aimed to develop and validate an electronic frailty index (eFI) based on routine electronic health records (EHR) for older adult inpatients and to analyze the correlations between frailty and hospitalized events and costs. Methods: We created an eFI from routine EHR and validated the effectiveness by the consistency of the comprehensive geriatric assessment-frailty index (CGA-FI) with an independent prospective cohort. Then, we analyzed the correlations between frailty and hospitalized events and costs by regressions. Results: During the study period, 49,226 inpatients were included in the analysis, 42,821 (87.0%) of which had enough data to calculate an eFI. A strong correlation between the CGA-FI and eFI was shown in the validation cohort of 685 subjects (Pearson's r = 0.716, P < 0.001). The sensitivity and specificity for an eFI≥0.15, the upper tertile, to identify frailty, defined as a CGA-FI≥0.25, were 64.8 and 88.7%, respectively. After adjusting for age, sex, and operation, an eFI≥0.15 showed an independent association with long hospital stay (odds ratio [OR] = 2.889, P < 0.001) and death in hospital (OR = 19.97, P < 0.001). Moreover, eFI values (per 0.1) were positively associated with total costs (β = 0.453, P < 0.001), examination costs (β = 0.269, P < 0.001), treatment costs (β = 0.414, P < 0.001), nursing costs (β = 0.381, P < 0.001), pharmacy costs (β = 0.524, P < 0.001), and material costs (β = 0.578, P < 0.001) after adjusting aforementioned factors. Conclusions: We successfully developed an effective eFI from routine EHR from a general hospital in China. Frailty is an independent risk factor for long hospital stay and death in hospital. As the degree of frailty increases, the hospitalized costs increase accordingly.
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Affiliation(s)
- Yao-Dan Liang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.,Department of Pulmonary and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yi-Bo Xie
- Information Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Ming-Hui Du
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jing Shi
- Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jie-Fu Yang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Hua Wang
- Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
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