Prevalence of chronic energy deficiency in rural-dwelling older Indian adults during a period of severe drought

The role of comprehensive geriatric assessment in the identification of different nutritional status in geriatric patients: a real-world, cross-sectional study

Background

Malnutrition is an often unrecognized problem, but it is common in older patients and leads to adverse outcomes.

Aims

The purpose of this study is to analyze the prevalence of the risk of undernutrition in elderly patients and the correlation between CGA and nutritional status, and to determine the nutritional status of elderly patients.

Methods

This is a real-world cross-sectional study of continuously enrolled elderly patients aged 65 years or older with a complete CGA database. CGA inventory was prepared by compiling and screening general information, body composition and blood biochemical results. MNA was also conducted for each elderly patient to screen for malnutrition. A multivariable logistic regression analysis was used to determine the association between the CGA and nutritional assessment.

Result

The average age of the 211 selected elderly patients (160 men and 51 women) was 79.60 ± 9.24 years, and their ages ranged from 65 to 96 years. After controlling for confounders, patients with a history of PUD (OR = 2.353, p = 0.044), increased ADLs & IADLs scores (OR = 1.051, p = 0.042) or GDS scores (OR = 6.078, p < 0.001) may increase the incidence of the risk of undernutrition respectively, while an increase in BMI (OR = 0.858, p = 0.032) may lower the incidence of malnutrition risk. In addition, increased ADLs & IADLs scores (OR = 1.096, p = 0.002) or GDS scores (OR = 11.228, p < 0.001) may increase the incidence of undernutrition. However, increased MMSE (OR = 0.705, p < 0.001), BMI (OR = 0.762, p = 0.034), UAC (OR = 0.765, p = 0.048) and CC (OR = 0.721, p = 0.003) may decrease the incidence of undernutrition, respectively.

Conclusion

The study found that the prevalence of risk of undernutrition in elderly patients was the highest. Risk of undernutrition was independently associated with peptic ulcer disease, ADLs & IADLs, GDS and BMI. However, we found that when the nutritional status reached the level of undernutrition, it was related to more factors, including ADLs & IADLs, MMSE, GDS, BMI, UAC and CC. Determining the level of malnutrition through CGA may help to prevent and intervene malnutrition as early as possible.

A systematic review and meta-analysis assessing the impact of droughts, flooding, and climate variability on malnutrition

BACKGROUND

Both the World Health Organization and the Intergovernmental Panel on Climate Change project that malnutrition will be the greatest contributor to climate change-associated morbidity and mortality. Although there have been several studies that have examined the potential effects of climate change on human health broadly, the effects on malnutrition are still not well understood. We conducted a systematic review investigating the role of three climate change proxies (droughts, floods, and climate variability) on malnutrition in children and adults.

METHODS AND FINDINGS

We identified 22 studies examining the effects of droughts, floods, and climate variability on at least one malnutrition metric. We found that 17 out of 22 studies reported a significant relationship between climate change proxies and at least one malnutrition metric. In meta-analysis, drought conditions were significantly associated with both wasting (Odds Ratio [OR] 1.46, 95% Confidence Interval [CI] 1.05-2.04) and underweight prevalence (OR 1.46, 95% CI 1.01-2.11).

CONCLUSIONS

Given the long-term consequences of malnutrition on individuals and society, adoption of climate change adaptation strategies such as sustainable agriculture and water irrigation practices, as well as improving nutritional interventions aimed at children aged 1-2 years and older adults, should be prioritised on global policy agendas in the coming years.

Is agricultural engagement associated with lower incidence or prevalence of cardiovascular diseases and cardiovascular disease risk factors? A systematic review of observational studies from low- and middle-income countries

Non-communicable diseases, such as cardiovascular diseases (CVDs), diabetes and cancer account for more than half of the global disease burden, and 75% of related deaths occur in low- and middle-income countries (LMICs). Despite large regional variations in CVD incidence and prevalence, CVDs remain the leading causes of death worldwide. With urbanisation, developing nations are undergoing unprecedented labour-force transitions out of agriculture and into types of non-agricultural employment, mainly in the industry and service sectors. There are few studies on the effect of these transitions on CVDs and CVD risk factors in LMICs. We systematically searched MEDLINE, PubMed, EMBASE and the Cochrane Library from January 1950 to January 2017 to assess the association of engaging in agriculture compared to types of non-agricultural employment (e.g. services and manufacturing) with CVD incidence, prevalence and risk factors. Studies were included if they: included participants who engaged in agriculture and participants who did not engage in agriculture; measured atherosclerotic CVDs or their modifiable risk factors; and involved adults from LMICs. We assessed the quality of evidence in seven domains of each study. Prevalence ratios with 95% confidence intervals were calculated and compared in forest plots across studies. Study heterogeneity did not permit formal meta-analyses with pooled results. There was a lack of publications on the primary outcomes, atherosclerotic CVDs (n = 2). Limited evidence of varying consistency from 13 studies in five countries reported that compared with non-agricultural workers, mainly living in urban areas, rural agriculture workers had a lower prevalence of hypertension, overweight and obesity; and a higher prevalence of underweight and smoking. High quality evidence is lacking on the associations of engaging in and transitioning out of agriculture with atherosclerotic CVDs and their modifiable risk factors in LMICs. There is a need for interdisciplinary longitudinal studies to understand associations of types of employment and labour-force transitions with CVD burdens in LMICs.

Health needs of older populations affected by humanitarian crises in low- and middle-income countries: a systematic review

BACKGROUND

The combination of global demographic changes and a growing number of humanitarian crises in middle-income countries that have a higher life expectancy has led to an increase in the number of older populations affected by humanitarian crises. The aim of this review was to systematically examine evidence on the health needs of older populations in humanitarian crises, including both armed conflicts and natural disasters, in low- and middle-income countries (LMICs).

METHODS

A systematic review methodology was used. The search strategy used terms related to older populations and humanitarian crises in LMICs. Five bibliographic databases were used, along with relevant grey literature sources. Descriptive analysis was used, and a quality assessment conducted using the Newcastle-Ottawa Scale and CASP instruments.

RESULTS

A total of 36 studies were eligible for review. The majority of the studies were cross-sectional, three were cohort studies, and four used qualitative methodologies. The main health outcomes were mental health, physical health, functioning, and nutrition. Vulnerability factors included older age, female gender, being widowed, increased exposure to traumatic events, prior mental health problems, low income and education, and rural residency. Ten studies addressed the responsiveness of health systems and access to such services. The quality of the included studies was generally low.

CONCLUSIONS

There is an urgent need to strengthen the evidence base on the health needs of older populations in humanitarian crises.

DIETARY DIVERSITY AND ITS RELATIONSHIP WITH NUTRITIONAL STATUS AMONG ADOLESCENTS AND ADULTS IN RURAL INDIA

Dietary diversity is associated with household or individual food availability and intake of nutrients from different food groups and is an important component of nutritional outcome. This study examined the Nutrient Adequacy Ratio (NAR) and the Mean Adequacy Ratio (MAR) of three dietary diversity indices and their relationship with the nutritional status of adolescents and adults in rural regions of two states in India, Wardha district in Maharashtra and Koraput district in Odisha, in 2014. Individual dietary diversity was calculated using 24-hour diet recall (FS24hr) data and household dietary diversity was measured with food frequency data using Berry's index (DDI) and food scores (FSFFQ). The nutritional status of individuals was assessed using anthropometric indices. The diets in both locations were cereal dominated. It was observed that 51% of adolescent boys and 27% of adolescent girls had 'thinness' and stunting. The prevalence of undernutrition was higher among adult women (48%) than adult men (36%). The mean diversity indices were FS24hr of 8, DDI of 89-90 and FSFFQ of 64-66 in the two locations. The FS24hr was found to be positively correlated with the NAR of all nutrients while DDI and FSFFQ were correlated with seven and six nutrients, respectively. The DDI and FS24hr showed an association with MAR if the two locations were combined together. Sensitivity and specificity analysis showed that FS24hr gave more true positives than false positives and the area under the Receiver Operating Characteristic curve was 0.68, implying that this measure truly differentiates individuals having low dietary diversity with low MAR from those with low dietary diversity and a high MAR. All three measures of dietary diversity showed a linear association with the nutritional outcomes of adults, while in the adolescent group only DDI showed a relationship. It is concluded that 24-hour diet recall is a good measure for studying the relationship between dietary diversity and nutritional status in adults.

Can mid-upper arm circumference and calf circumference be the proxy measures to detect undernutrition among elderly? Findings of a community-based survey in rural Puducherry, India

Introduction:

Major proportion of the elderly with under nutrition is undetected in the community. One of the feasible ways to detect under nutrition among elderly would be screening in the field settings. in this study, we aimed to identify the utility of alternate anthropometric measures such as mid-upper arm circumference (MUAC), calf circumference, and skin fold thickness in identifying under nutrition among elderly.

Materials and Methods:

A community-based cross-sectional survey was done among elderly in one of the randomly selected subcenters. Anthropometric measures such as weight, arm span, MUAC, and triceps skinfold thickness were measured as per the standard measurement guidelines by a trained medical graduate. The elderly were identified as undernourished if body mass index (BMI) is <18.5 kg/m². Utility of alternate anthropometric markers against BMI is represented by area under the curve (AUC) value from receiver operating characteristic curve and correlation coefficient (r).

Results:

Mean MUAC, calf circumference, and triceps skinfold thickness measured among 271 elderly were 25.6 cm ± 3.7 cm, 27.6 cm ± 3.7 cm, and 3.0 mm ± 1.3 mm, respectively. Among all three proxy anthropometric measures, MUAC had the highest AUC value (AUC = 0.88) Triceps skinfold thickness had the least AUC (AUC = 0.61). The correlation of anthropometric measurements such as MUAC, calf circumference, and triceps skinfold thickness with BMI was 0.74, –0.04, and 0.64, respectively.

Conclusion:

As MUAC and calf circumference are easy to measure and they are highly correlating with BMI, they can be used routinely by peripheral field workers to assess undernutrition in elderly during their regular house visits.

Prevalence of under-nutrition, associated factors and perceived nutritional status among elderly in a rural area of Puducherry, South India

BACKGROUND

Under-nutrition among elderly goes undetected, despite their nature of vulnerability to it. Majority of the available literature assessed under nutrition in the facility based settings. We aimed to determine the prevalence of under-nutrition and its associated factors among elderly, in a rural setting.

METHODS

A community based cross sectional survey was conducted among elderly in one of the randomly selected sub centre catchment area in rural Puducherry, south India. Information on socio demographic characteristics, morbidities and perception on their nutritional status were obtained. Anthropometric measures such as weight and arm span were measured by trained medical graduate as per the standard guidelines. Bodymass index (BMI) less than 18.5kg/m(2) was considered as under-nutrition.

RESULTS

Of total 296 elderly in the study setting, 271 (92%) participated in the study. The prevalence of under nutrition among the elderly was 24.8% (95% CI: 19.7-30.3). More than half of the elderly (58.7%) perceived their nutritional status as poor; of them 28.9% were actually under-nourished. Mean (SD) BMI scores were higher for elderly women compared to that of men [elderly women vs men: 22 (4.6)kg/m(2) vs 21 (3.8)kg/m(2), p=0.03]. In multivariate analysis, being an elderly male, age more than 70 years and per capita income less than 1000 INR were found to be significantly associated with under-nutrition.

CONCLUSION

In this rural area, one fourth of elderly were under nourished. Urgent inter-sectoral measures including food security programs are required to address this huge nutritional problem in this vulnerable group.

Association between farming and chronic energy deficiency in rural South India

Objective

To examine factors associated with chronic energy deficiency (CED) and anaemia in disadvantaged Indian adults who are mostly involved in subsistence farming.

Design

A cross-sectional study in which we collected information on socio-demographic factors, physical activity, anthropometry, blood haemoglobin concentration, and daily household food intake. These data were used to calculate body mass index (BMI), basal metabolic rate (BMR), daily energy expenditure, and energy and nutrient intake. Multivariable backward stepwise logistic regression was used to assess socioeconomic and lifestyle factors associated with CED (defined as BMI<18 kg/m²) and anaemia.

Setting

The study was conducted in 12 villages, in the Rishi Valley, Andhra Pradesh, India.

Subjects

Individuals aged 18 years and above, residing in the 12 villages, were eligible to participate.

Results

Data were available for 1178 individuals (45% male, median age 36 years (inter quartile range (IQR 27–50)). The prevalence of CED (38%) and anaemia (25%) was high. Farming was associated with CED in women (2.20, 95% CI: 1.39–3.49) and men (1.71, 95% CI: (1.06–2.74). Low income was also significantly associated with CED, while not completing high school was positively associated with anaemia. Median iron intake was high: 35.7 mg/day (IQR 26–46) in women and 43.4 mg/day (IQR 34–55) in men.

Conclusions

Farming is an important risk factor associated with CED in this rural Indian population and low dietary iron is not the main cause of anaemia. Better farming practice may help to reduce CED in this population.

Health effects of drought: a systematic review of the evidence

Introduction. Climate change projections indicate that droughts will become more intense in the 21 century in some areas of the world. The El Niño Southern Oscillation is associated with drought in some countries, and forecasts can provide advance warning of the increased risk of adverse climate conditions. The most recent available data from EMDAT estimates that over 50 million people globally were affected by drought in 2011. Documentation of the health effects of drought is difficult, given the complexity in assigning a beginning/end and because effects tend to accumulate over time. Most health impacts are indirect because of its link to other mediating circumstances like loss of livelihoods. Methods. The following databases were searched: MEDLINE; CINAHL; Embase; PsychINFO, Cochrane Collection. Key references from extracted papers were hand-searched, and advice from experts was sought for further sources of literature. Inclusion criteria for papers summarised in tables include: explicit link made between drought as exposure and human health outcomes; all study designs/methods; all countries/contexts; any year of publication. Exclusion criteria include: drought meaning shortage unrelated to climate; papers not published in English; studies on dry/arid climates unless drought was noted as an abnormal climatological event. No formal quality evaluation was used on papers meeting inclusion criteria. Results. 87 papers meeting the inclusion criteria are summarised in tables. Additionally, 59 papers not strictly meeting the inclusion criteria are used as supporting text in relevant parts of the results section. Main categories of findings include: nutrition-related effects (including general malnutrition and mortality, micronutrient malnutrition, and anti-nutrient consumption); water-related disease (including E coli, cholera and algal bloom); airborne and dust-related disease (including silo gas exposure and coccidioidomycosis); vector borne disease (including malaria, dengue and West Nile Virus); mental health effects (including distress and other emotional consequences); and other health effects (including wildfire, effects of migration, and damage to infrastructure). Conclusions. The probability of drought-related health impacts varies widely and largely depends upon drought severity, baseline population vulnerability, existing health and sanitation infrastructure, and available resources with which to mitigate impacts as they occur. The socio-economic environment in which drought occurs influences the resilience of the affected population. Forecasting can be used to provide advance warning of the increased risk of adverse climate conditions and can support the disaster risk reduction process. Despite the complexities involved in documentation, research should continue and results should be shared widely in an effort to strengthen drought preparedness and response activities.