Predictors of undernutrition among the elderly in Sodo zuriya district Wolaita zone, Ethiopia

Magnitude and associated factors of intraoperative cardiac complications among geriatric patients who undergo non-cardiac surgery at public hospitals in the southern region of Ethiopia: a multi-center cross-sectional study in 2022/2023

Background

Intraoperative cardiac complications are a common cause of morbidity and mortality in non-cardiac surgery. The risk of these complications increased with the average age increasing from 65. In a resource-limited setting, including our study area, the magnitude and associated factors of intraoperative cardiac complications have not been adequately investigated. The aim of this study was to assess the magnitude and associated factors of intraoperative cardiac complications among geriatric patients undergoing non-cardiac surgery.

Methods

An institutional-based multi-center cross-sectional study was conducted on 304 geriatric patients at governmental hospitals in the southern region of Ethiopia, from 20 March 2022 to 25 August 2022. Data were collected by chart review and patient interviews. Epi Data version 4.6 and SPSS version 25 were used for analysis. The variables that had association (p < 0.25) were considered for multivariable logistic regression. A p value < 0.05 was considered significant for association.

Result

The overall prevalence of intraoperative cardiac complications was 24.3%. Preoperative ST-segment elevation adjusted odds ratio (AOR = 2.43, CI =2.06-3.67), history of hypertension (AOR = 3.42, CI =2.02-6.08), intraoperative hypoxia (AOR = 3.5, CI = 2.07-6.23), intraoperative hypotension (AOR = 6.2 9, CI =3.51-10.94), age > 85 years (AOR = 6.01, CI = 5.12-12.21), and anesthesia time > 3 h (AOR =2.27, CI = 2.0.2-18.25) were factors significantly associated with intraoperative cardiac complications.

Conclusion

The magnitude of intraoperative cardiac complications was high among geriatric patients who had undergone non-cardiac surgery. The independent risk factors of intraoperative cardiac complications for this population included age > 85, ST-segment elevation, perioperative hypertension (stage 3 with regular treatment), duration of anesthesia >3 h, intraoperative hypoxia, and intraoperative hypotension. Holistic preoperative evaluation, optimization optimal and perioperative care for preventing perioperative risk factors listed above, and knowing all possible risk factors are suggested to reduce the occurrence of complications.

Magnitude of undernutrition and its association with dietary diversity among older persons in Ethiopia: a systematic review and meta-analysis, 2023

Undernutrition in elders remains under-detected, under-treated, and under-resourced and leads to further weight loss, increased infections, and delay in recovery from illness as well as increased hospital admissions and length of stay. The reports of the findings were fragmented and inconsistent in Ethiopia. Therefore, the main objective of this meta-analysis was to estimate the pooled prevalence of undernutrition and its association with dietary diversity among older persons in Ethiopia. Online databases (Medline, PubMed, Scopus, and Science Direct), Google, Google Scholar, and other grey literature were used to search articles until the date of publication. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline was followed. The random effect model was used to estimate the pooled prevalence; whereas subgroup analysis and meta-regression were performed to identify the probable source of heterogeneity using Stata version 14.0 software. Out of 522 studies accessed, 14 met our criteria and were included in the study. A total of 7218 older people (aged above 60 years old) were included in the study. The pooled proportion of undernutrition among older persons in Ethiopia was 20⋅6 % (95 % CI 17⋅3, 23⋅8). Elders who consumed low dietary diversity scores were strongly associated with undernutrition among older persons. Therefore, promoting appropriate intervention strategies for elders to improve dietary diversity practices and nutritional status is crucial.

Level of malnutrition and associated factors among community-dwelling rural older adults in Fogera Zuriya district, Northwest Ethiopia

OBJECTIVES

Malnutrition is very common among older adults. In rural Ethiopia, around 25% of women and 34% of men ≥65 y of age are malnourished. However, the risk factors for malnutrition among older adults in rural areas are not well understood. The aim of this study was to assess the level of malnutrition and associated factors among community-dwelling rural older adults in Fogera Zuriya district, Northwest Ethiopia.

MATERIALS

This was a community-based, cross-sectional study among randomly selected (N = 634) adults ≥65 y of age in Fogera Zuriya rural district. Participants were selected using a multistage sampling technique. A pretested full Mini-Nutritional Assessment (MNA) tool was used to classify as malnourished (MNA score <17), at risk for malnutrition (MNA score 17-23.5), or otherwise normal. A validated Geriatric Depression Scale form (15 items) was used to assess depression. Ordinal logistic regression was employed to identify factors of malnutrition and the PLUM procedure was used to produce an odds ratio (OR). P < 0.05 was considered statistically significant with the dependent variable. Both crude and adjusted ORs (COR and AOR, respectively) with a corresponding 95% confidence interval were computed.

RESULTS

This study included 634 older adults. According to the results of the study, the risk for malnutrition was 383 (60%), and being malnourished was 166 (268%). The following factors were significantly associated with the risk for malnutrition and malnutrition: • Age ≥85 y (AOR, 3.47; 95% CI, 1.270-9.465); • Skipping two meals daily (AOR, 6.36; 95% CI, 2.11-19.16); • Skipping 1 meal a day (AOR, 3.05; 95% CI, 1.82-5.12); • Having a poor appetite (AOR, 6.2; 95% CI, 2.50-15.36); • Being depressed (AOR, 4.04; 95% CI, 2.37-6.89); • Low physical activity (AOR, 3.81; 95% CI, 1.50-9.72); • Family size of three of less members (AOR, 1.9; 95% CI, 1.14-3.24); and • Low dietary diversity score (AOR, 1.91; 95% CI, 1.11-3.31) CONCLUSIONS: In this study, the prevalence of malnourished (26%) was almost higher than the national average in Ethiopia (21%). Older age, skipping a meal, poor appetite, depression, low physical activity, and low dietary diversity score were factors significantly associated with the risk for malnutrition and malnutrition. Along with this, improving diet and exercise should be a top priority. Maintaining continuing psychological support, social support, and a balanced family size within the community should be additional interventions.

Prevalence of undernutrition and its associated factors among older adults using Mini Nutritional Assessment tool in Womberma district, West Gojjam Zone, Amhara Region, North West Ethiopia, 2020

BACKGROUND

Undernutrition is a frequent and serious problem in the world's older adults. Even though life expectancy is increasing, they are more vulnerable and at risk for nutritional problems. However, not much is known about the nutritional status of this group of the population, and they are often neglected.

OBJECTIVE

This study was aimed at assessing undernutrition and associated factors among older adults in Womberma District, West Gojjam Zone, Amhara Region, Ethiopia, 2020.

METHODS

A community-based cross-sectional study design was used among randomly selected 594 older adults aged above 60 years with a multistage simple random sampling method and proportional sample size allocation was used to address study subjects at the village level. The collected data was entered into Epi-Data version 4.2 and analyzed by using SPSS version 25. All variables with a p-value<0.25 in the bivariable analysis were considered for multivariable logistic regression for further analysis and the level of statistical significance was declared at p-value<0. 05.

RESULTS

The prevalence of undernutrition among older adults was found to be 14.6% (95%CI: 11.9-17.7). A number of independent variables have a significant association with undernutrition, including gender, females [(AOR (95%CI): 3.14 (1.50-6.54)], age (Oldest Old [AOR (95%CI): 4.91 (2.44-6.08)] and Middle Old, [AOR (95%CI): 2.96 (1.44-6.08)], meal frequency [AOR (95%CI): 2.01 (1.12 (1.04-3.63)], dietary diversity score [AOR (95%CI): 2.92 (1.54-5.53)], depression [AOR (95%CI): 5.22 (3-9.07)], individuals with a sickness in the last 4 weeks [AOR (95%CI): 2.12 (1.02-4.41)] and individuals with a known hemorrhoid [AOR (95%CI): 3.51 (1.12-10.97)].

CONCLUSION

This study found that the prevalence of undernutrition in older adults is high and needs attention. Sex, age, meal frequency, dietary diversity, being sick in the last 4 weeks, having hemorrhoids, and depression were the associated risk factors. Therefore, the government, family members, and other stakeholders should give more attention to older individuals.

Nutritional status and its associated factors among elderly people in Ilu Aba Bor Zone, Southwest Ethiopia: a community-based cross-sectional study

OBJECTIVES

This study aimed to assess the nutritional status and its associated factors among elderly people.

DESIGN

A community-based cross-sectional study.

SETTING

The study was conducted in urban and semiurban areas.

PARTICIPANTS

The study included 620 elderly community dwellers in Southwest Ethiopia from 3 October 2021 to 10 November 2021. Those who were seriously ill, could not get around or were on special diets were excluded from the study.

OUTCOME MEASURE

The Mini Nutritional Assessment was used to evaluate nutritional status and the STEPwise approach was used to collect data on backgrounds and lifestyle. SPSS V.22.0 was used for data analysis. Logistic regression was computed. The level of significance was set at 0.05.

RESULTS

Elderly people who were malnourished or at risk of malnutrition were found to make up 48.1% (44.1%) and 17.4% (14.5%) of the population, respectively. Those aged 80 years and older had a chance of being at risk of malnutrition (adjusted OR (AOR)=22.555; 95% CI: 7.963 to 63.881), while the odds of being malnourished were 11.5 times higher (AOR=11.755; 95% CI: 4.825 to 28.638). Informal education was a significant predictor of being at risk of malnutrition (AOR=6.102; 95% CI: 2.684 to 13.871). Urban dwellers were 8.9 times more likely to be malnourished. Inadequate financial resources make people 3.7 times more likely to be malnourished. A lower wealth index was a significant predictor of being at risk of malnutrition (AOR=4.156; 95% CI: 1.361 to 12.692). Single elderly people had a 3.4-fold higher risk of malnutrition. Elderly people with chronic pain, who were smokers and alcoholics, and who had depression were all at risk of nutritional problems.

CONCLUSION

The risk of malnutrition and malnourishment was high. Age, urbanisation, finances, education, economics, being a woman, smoking and alcohol are associated factors. Interventional studies are warranted to minimise malnutrition challenges in the study population.

Undernutrition and associated factors among older adults in Ethiopia: systematic review and meta-analysis

OBJECTIVE

Undernutrition contributes to decreased physical and cognitive functional status, higher healthcare consumption, premature institutionalisation and increased mortality. So, the objective of this study was to determine the pooled prevalence and factors associated with undernutrition among older adults in Ethiopia.

DESIGN

Systematic review and meta-analysis was used. Articles that presented original data on undernutrition using body mass index (BMI) were included. We made an inclusive literature search from PubMed, Medline and Google Scholar. The I² test was used to examine the heterogeneity of the studies considered in this meta-analysis. Stata software V.14 and METANDI command were used.

SETTING

Studies conducted in Ethiopia were included.

PARTICIPANTS

Eight independent studies were eligible and enrolled for final analysis.

OUTCOME

Prevalence and determinants of undernutrition. A selection of publications, data extraction and reported results for the review was designed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

RESULTS

A total of eight unique studies were enrolled for final analysis. The pooled prevalence of undernutrition was 20.53% (95% CI 17.39% to 23.67%). The study revealed that males had lesser odds of being undernutrition with AOR 0.17 (95% CI 0.15 to 0.20). Older adults in the age range of 65-74 years were less likely to be undernourished as compared with those whose age was above 85 years with Adjusted Odds Ratio (AOR) 022 (95% CI 0.22 to 0.25). Older adults who were depressed had higher odds of undernutrition as compared with their counterparts with AOR 1.27 (95% CI 1.19 to 1.37). However, older adults from households with poor wealth indexes were two times more likely to be undernourished as compared with those who were from rich households.

CONCLUSION

The burden of undernutrition in Ethiopia is significant. The limitation of the current study was that all included studies were observational, mainly cross-sectional.

Malnutrition among the aged population in Africa: A systematic review, meta-analysis, and meta-regression of studies over the past 20 years

BACKGROUND

Nowadays, malnutrition among the advanced age (60 years and older) population is becoming a public health problem worldwide, especially in low-income countries including Africa. Hence, the prevalence in Africa is still not known. So, this review aimed to assess the pooled prevalence of under-nutrition among the advanced age population in Africa.

METHODS

A study search was carried out using databases (such as African Journals Online, Web of Science, Global Index Medicus, Embess, and PubMed) and gray literature following PRISMA guidelines from April 20, 2022, to May 30, 2022, with no restriction on date of publication. We used a standardized extraction format to compile eligible studies as per the inclusion criteria. Then, systematic review and meta-analysis were employed using a random effect model to obtain the pooled prevalence of malnutrition among aged population living in Africa. The counter-funnel plot and at the 5% significance level, Egger's test and Begg's test were used to check for publication bias. Furthermore, a meta-regression analysis was carried out to identify the relationship between the outcome of interest and different predictors.

RESULTS

A total of 731 studies were identified and 28 met the inclusion criteria, which were conducted in 17 African countries. The pooled prevalence of under-nutrition in Africa was 17% (95%CI; 13.5-20.6). The prevalence of malnutrition among the elderly varied significantly across countries, ranging from 1.8% (95% CI; 0.96-2.63) in South Africa to 39.47% (95% CI; 31.70-47.24) in Kenya. According to meta-regression analysis, the likelihood of a malnutrition problem would be reduced by a factor of 9.84 (β = -9.84, 95 percent CI; _-14.97, -4.70, P = 0.00) in upper-middle income countries. In addition, based on the publication year, malnutrition has decreased by a factor of 0.75 (β = -0.75, 95%CI:-1.49, -0.01, P = 0.04) from 1998 to 2021.

CONCLUSION

There is a high prevalence of malnutrition among the aged population. So, this underserved population should be targeted for intervention programs and/or integrated into maternal and child nutrition programs.

Undernutrition and associated factors among elderly people served in Public Servants Social Security Agency in Harar, Eastern Ethiopia

Objective:

Undernutrition in the elderly has adverse effects on physiological functions and various clinical outcomes. In Ethiopia, similar to many developing countries, there is a dearth of epidemiological data on the nutritional status of the elderly. This study aimed to assess the magnitude of undernutrition and associated factors among the elderly population enrolled in the Public Servants Social Security Agency in Harar, eastern Ethiopia.

Method:

A cross-sectional study was carried out among 337 elderly adults from June to August 2020. The Mini Nutritional Assessment Tool Short Form assessed the nutritional status of the elderly. Data were entered in Epi Data software version 3.1 and transferred to SPSS version 20 for analysis. Ordinal logistic regression assessed factors associated with undernutrition, using variables with a p value less than 0.05 as statistically significant.

Result:

The magnitude of undernutrition was 16.6% and 45.1% were at risk of undernutrition. Being unable to read and write (odds ratio (OR) = 3.64; 95% confidence interval (CI), 1.98–6.72), elderly with morbidities (OR = 2.05; 95% CI, 1.15–3.64), low dietary diversity score (OR = 3.52; 95% CI, 1.63–7.60), and elderly who were food insecure (OR = 0.59; 95% CI, 0.37–0.95) were significantly associated with undernutrition.

Conclusion:

The magnitude of undernutrition among the elderly is a public health issue. Independent predictors include educational status, morbidity, dietary diversity, and food insecurity. Intervention programs need to focus on the elderly’s nutrition, access to healthy foods, and other health issues.

Determinants of undernutrition among older adults in South Gondar Zone, Ethiopia: a community-based study

OBJECTIVES

The objectives of this study were to assess the prevalence and determinants of undernutrition among older adults aged 65 years in the south Gondar Zone, Ethiopia, in 2020.

DESIGN

A community-based cross-sectional study.

SETTING

The study was conducted from 1 October to 15 December 2020, in the South Gondar Zone, Ethiopia. Study participants were selected by systematic random sampling. A pretested and structured questionnaire adapted from different literature was used to collect data. Anthropometric measurements were taken following the standard procedure.

PARTICIPANTS

A total of 290 older adults aged greater than or equal to 65 years of age were included in the study.

DATA ANALYSIS

Descriptive and summary statistics were employed. Multiple logistic regression was fitted to identify determinants of undernutrition. ORs and their 95% CIs were computed to determine the level of significance.

OUTCOME MEASURES

Undernutrition was assessed by using Body Mass Index and Mini Nutritional Assessment (MNA) tool.

RESULTS

The prevalence of undernutrition was 27.6% (95% CI 22.4 to 32.8), and 2.1% (95% CI 0.7 to 3.8) of the study participants were overweight. Based on the MNA tool, 29.7% (95% CI 24.5 to 35.2) of the study participants were undernourished and 61.7% (95% CI 55.5 to 67.2) were at risk of undernourishment. Rural residence adjusted OR (aOR)=10.3 (95% CI 3.6 to 29.4), inability to read and write aOR=3.5 (95% CI 1.6 to 7.6), decrease in food intake aOR=13.5 (95% CI 6.1 to 29.5) and household monthly income of less than US$35.6 aOR=4.3 (95% CI 1.9 to 9.4) were significantly and independently associated with undernutrition.

CONCLUSION

The level of undernutrition among older adults in the study area was high, making it an important public health burden. The determinants of undernutrition were a place of residence, educational status, food intake and monthly income.

Predictors of malnutrition among older adults aged above 65 years in eastern Ethiopia: neglected public health concern

BACKGROUND

A nutritional problem, especially under nutrition is one of the common public health problems in older population causing greater mortality and economic loss in developing countries. However, evidences on the risk factors for increased nutritional risk among older population is not well stated in Ethiopia. This study aimed to assess the nutritional status and predictors of malnutrition among older adults (> = 65 years) in Eastern Ethiopia.

METHODS

A community-based analytical survey was conducted among randomly selected 592 older people aged above 65 years of age in Harari region. Subjects were selected using multistage sampling pretested Full Mini Nutritional Assessment (MNA) tool was used to classify as malnourished (MNA score < 17), at risk of malnutrition (MNA score of 17 to 23.5) and otherwise normal. Validated geriatric depression scale short form (15 items) was employed to screen for depression. Data were presented using statistical tables, frequency, percentage, and graphs. Ordinary logistic regression was employed to identify predictors of malnutrition and plum method was used to generate odds ratio. The level of statistical significance was declared at P-value less than 5%. Chi-square test, crude and adjusted odds ratio with 95% confidence was reported.

RESULTS

A total of 592 respondents (93.4%) were interviewed. About 306 (51.7%) and 93 (15.7%) were found to be at risk of malnutrition and malnourished respectively. The predicted log odds of being malnourished was higher among those from rural residents (AOR = 2.08: 1.25-3.45), not on working (AOR = 1.31: 95% CI: 0.87-1.95) and did not have health insurance (AOR = 1.58; 95% CI; 0.97-2.58). Those with chronic pain (AOR = 1.70; 95% CI: 1.15-2.51), previous hospitalization (AOR = 1.59: 95% CI: 1.27-2.38) and not able to cover their personal expense (AOR =1.61: 95% CI: 1.12-2.30) were predictors of malnutrition. The relationship between previous hospitalizations with malnutrition among older adults people is moderated significantly by the presence of chronic pain (β = 0.113, p = 0.015).

CONCLUSIONS

Malnutrition among old age is a public health concern that needs attention. Economical vulnerability, residence, depression, presence of chronic disease, and hospitalization were important risk factors for malnutrition among old age.

Comorbidities and the COVID-19 pandemic dynamics in Africa

The debate around the COVID‐19 response in Africa has mostly focused on effects and implications of public health measures, in light of the socio‐economic peculiarities of the continent. However, there has been limited exploration of the impact of differences in epidemiology of key comorbidities, and related healthcare factors, on the course and parameters of the pandemic. We summarise what is known about (a) the pathophysiological processes underlying the interaction of coinfections and comorbidities in shaping prognosis of COVID‐19 patients, (b) the epidemiology of key coinfections and comorbidities, and the state of related healthcare infrastructure that might shape the course of the pandemic, and (c) implications of (a) and (b) for pandemic management and post‐pandemic priorities. There is a critical need to generate empirical data on clinical profiles and the predictors of morbidity and mortality from COVID‐19. Improved protocols for acute febrile illness and access to diagnostic facilities, not just for SARS‐CoV‐2 but also other viral infections, are of urgent importance. The role of malaria, HIV/TB and chronic malnutrition on pandemic dynamics should be further investigated. Although chronic non‐communicable diseases account for a relatively lighter burden, they have a significant effect on COVID‐19 prognosis, and the fragility of care delivery systems implies that adjustments to clinical procedures and re‐organisation of care delivery that have been useful in other regions are unlikely to be feasible. Africa is a large region with local variations in factors that can shape pandemic dynamics. A one‐size‐fits‐all response is not optimal, but there are broad lessons relating to differences in epidemiology and healthcare delivery factors, that should be considered as part of a regional COVID‐19 response framework.