Assessment of dietary habits, nutritional status and common health complications of older people living in rural areas of Bangladesh.

BACKGROUND: Old age is one of the vulnerable and prone stages in terms of health status. So this study aimed to assess the nutritional status and common health complications of older people. METHODS: Simplified Nutritional Appetite Questionnaire (SNAQ), Anthropometric measurements, Diet History Method, and Mini Nutritional Assessment (MNA) tools were used to measure the nutritional status. Data were analyzed by using Statistical Package for Social Science (SPSS) version 16. RESULTS: Out of the total 320 elderly participants the mean ± SD value for the age of male and female was 67.25 ± 6.5 and 67.32 ± 7.7 years respectively. According to BMI classification, it was noticed that with advancing age the percentage of underweight was also increased such as for 60-75 years old age group the underweight percentage was 30.0% where for 76 to 85 and >85 years old age group the underweight percentage was 45.0% and 60.0% respectively. According to the MNA score, 97 elderly respondents were malnourished and a total of 172 respondents had SNAQ scores below 14. This study found a statistically significant (P < 0.05) correlations among various health complications with nutritional status according to MNA score. In addition 56.6% (OR = 1.24, 95% CI = .799-1.939), 63.8% (OR = 1.18, 95% CI = .745-1.857) and 64.7% (OR = 1.14, 95% CI = .720-1.804) respondents had diabetes mellitus, hypertension and cardiovascular disease respectively. The risk of musculoskeletal pain (OR = 1.073, 95% CI = .684-1.681), bedsore (OR = 1.884, 95% CI = .903-3.934) and decreased sense of thirst (OR = 1.278, 95% CI = .821-1.991) were higher among females than males. A little number of the elderly used to take milk, meat, and fish daily. CONCLUSION: During this cross-sectional study, significant correlations among nutritional changes with health complications were determined. To prevent malnutrition among the elderly a proper health policy as well as periodical nutritional screening should be conducted.

Distributed renewable energy systems for resilient and sustainable development of remote and vulnerable communities.

More than 940 million people (13% of the world population) do not have any access to electricity. Most of these people live in rural and remote areas, where the lack of electricity access is significantly damaging the quality of life, economic development and the environment. Distributed energy systems (DESs) (based on clean energy technologies) for energy access offer a potentially important strategy for pursuing environment-friendly sustainable development and poverty alleviation; especially in rural and remote communities. DESs are also helpful in reducing deforestation and greenhouse gas (GHG) emissions as the fossil fuel-based energy production is among the largest contributors to GHG emissions. This paper presents the importance of energy access through DESs for resilient and sustainable development using two projects case studies from Pakistan. The first project case study is based on the Afghan refugee villages, where, currently, there is no electricity access. A baseline survey was conducted to assess the socio-economic conditions and energy demand of the refugees. This assessment is then used to devise clean energy solutions as per the local context. This project aims to improve the quality of life of the refugees by providing energy access. In the second case study, electricity access was provided to the local communities a few years ago. Analyses of primary data collected in this case study show that DES integrated with socio-economic and cultural systems can bring a significantly positive impact on the local communities, advancing all the sustainability development goals. This work concludes that DES can be significantly generative, if effectively integrated into socio-economic processes. This article is part of the theme issue 'Developing resilient energy systems'.

Assessment of renal and hepato-protective potential of guava leaves in male Sprague dawley rats.

Present research project was an attempt to explore the functional/nutraceutical worth of guava leaves from two locally grown varieties (Ruby & Safeda). For the purpose, guava leaves extract was fed to experimental male Sprague Dawley rats to explore the nutraceutical potential of guava leaves against hepatotoxicity. Two studies were performed on two types of rats i.e. study I (normal rats), study II (hepatotoxic rats). In both studies, 250 mg/kg each of pink guava leaves extracts (T1) and white guava leaves extracts (T2) was added in the feed. Feed intake and body weights of the rats were recorded. At the end of the first and eighth week of study, the blood samples of the rats were analyzed to check the effect of guava leaves extracts on renal functioning (Alkaline Phosphatase, Alanine Transaminase and Aspartate Transaminase) as well as liver functioning parameters including urea and creatinine. In both studies, comparatively higher feed consumption was observed in the control group than the rest of the treatments. At the end of study I, the highest weight (207±9.21 g) was observed in T0 whereas, during study II, the maximum value (202±5.58 g) was found in T2 (rats consuming white guava leaves extract) that indicates its effectiveness against hepatotoxicity. Regarding renal functioning tests, pink guava leaves were more effective in decreasing urea and creatinine levels in rats as compared to the white guava leaves in both study plans. Likewise, in each of study trial, pink guava leaves were more effective in reducing AST, ALT and ALP than white guava leaves and control. From the present investigation, it is deduced that guava leaves were effective against hepatotoxicity.

Assessment of heavy metals by ICP-OES and their impact on insulin stimulating hormone and carbohydrate metabolizing enzymes.

Arsenic (As) and cadmium (Cd) have recently emerged as major health concerns owing to their strong association with diabetes mellitus (DM). We aimed to investigate the heavy metals exposure towards incidence of DM at various enzymatic and hormonal levels. Additionally, association of As and Cd with Zinc (Zn, essential metal) was also evaluated. Spot urine samples were collected to assess As, Cd and Zn through ICP-OES. Serum was analyzed by assay method for fasting blood glucose, liver and renal function biomarkers. ELISA was performed to investigate the impact of heavy metals on HbA1c, α-amylase, DPP-IV, IGF-1, leptin, GSH, MDA, SOD, HDL, FFA, TG and interleukin (IL)-6. Association of heavy metals with DM was measured by odds ratio (OR) and level of significance was assessed by Chi-squared test. Unpaired student's t-test was used to compare DM-associated risk factors in heavy metals-exposed and unexposed participants. As and Cd were detectable in 75.4% and 83% participants with mean concentration of 75.5 ppb and 54.5 ppb, respectively. For As exposure, OR in the third quartile was maximum ie 1.34 (95% CI, 0.80 to 2.23), however the result was not statistically significant (P > .05). For Cd exposure, OR in the fourth quartile was considerably high, 1.62 (95% CI, 1.00 to 2.61), with a significant probability value (P < .05). Urinary Cd was negatively associated with Zn. As and Cd exposure increases the incidence of DM in the general population. Impaired hormonal and enzymatic levels in diabetic and non-diabetic exposed participants reflect the multiple organ damage by heavy metal exposure.

Efficient estimation of Pareto model: Some modified percentile estimators.

The article proposes three modified percentile estimators for parameter estimation of the Pareto distribution. These modifications are based on median, geometric mean and expectation of empirical cumulative distribution function of first-order statistic. The proposed modified estimators are compared with traditional percentile estimators through a Monte Carlo simulation for different parameter combinations with varying sample sizes. Performance of different estimators is assessed in terms of total mean square error and total relative deviation. It is determined that modified percentile estimator based on expectation of empirical cumulative distribution function of first-order statistic provides efficient and precise parameter estimates compared to other estimators considered. The simulation results were further confirmed using two real life examples where maximum likelihood and moment estimators were also considered.