Dataset Information

Food Choices and Consequences for the Nutritional Status: Insights into Nutrition Transition in an Hospital Community.

ABSTRACT:

Introduction

Although economic development is generally accompanied by improvements in the overall nutritional status of the country's population the 'nutritional transition' often involves a shift to high energy diets and less exercise with negative consequences. This pilot study was done to examine if education of parents operates at the household level to influence dietary choices and the nutritional status of children in a small community of hospital workers.

Material and methods

3 groups of persons with varying skill and education levels participated. Weighed food logs were used in all households to calculate 'adult equivalent' per-capita-consumption. Nutrients were calculated using nutrients calculator software. BMI was used to classify children as underweight, normal weight and overweight.

Results

128 individuals participated from 30 families included 47 children. 10 children (21%) were underweight, 29 (62%) were normal and 8 (17%) were overweight. Energy consumption was highest in families with overweight children 2692 +/-502 compared to 2259 +/-359 in families with normal weight and 2031+/-354 in the family of underweight children. These differences were statistically significant. 42% underweight children belonged to Class 1 at the lowest skill level and there were no overweight children in this group. Most of the overweight children belonged to Class 2. In Class 3 there were no underweight children and the majority was normal weight children.

Conclusion

Underweight children came from the poorer households. Per capita intake of the family as a whole correlated well with BMI in the children. There was increased obesity in middle income families belonging to Class 2-probably in families who move up the scale from deprivation. Nutritional status in children correlated mostly with maternal education status.

SUBMITTER: Piple J

PROVIDER: S-EPMC4641688 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Food Choices and Consequences for the Nutritional Status: Insights into Nutrition Transition in an Hospital Community.

Piple Jitendra J Gora Ranjeet R Purbiya Pragati P Puliyel Ashish A Chugh Parul P Bahl Pinky P Puliyel Jacob J

PloS one 20151111 11

<h4>Introduction</h4>Although economic development is generally accompanied by improvements in the overall nutritional status of the country's population the 'nutritional transition' often involves a shift to high energy diets and less exercise with negative consequences. This pilot study was done to examine if education of parents operates at the household level to influence dietary choices and the nutritional status of children in a small community of hospital workers.<h4>Material and methods< ...[more]

PMID: 26559817

Similar Datasets

Project description:ObjectiveTo examine the association between household food insecurity (HFI) and risk of childhood stunting and to determine whether this association is modified by maternal-child overweight/obesity.DesignObservational cross-sectional study.SettingData come from the Mexican National Health and Nutrition Survey (ENSANUT 2012 by its initials in Spanish), representative of rural and urban areas.ParticipantsOur study sample included 5087 mother-preschool child pairs and 7181 mother-schoolchild pairs.Main outcome measuresDifferences in the prevalence (95% CI) of each HFI category by socioeconomic characteristics and maternal-child nutritional status were estimated. A logistic regression model was conducted for stunting and overweight among preschool children and for stunting and overweight/obesity among schoolchildren, adjusting for pertinent covariates. HFI was measured according to the Latin American and Caribbean Food Security Scale (ELCSA by its initials in Spanish). Weight and recumbent lenght or height measures were obtained from children. Overweight and obesity in women were determined according to the WHO Growth Reference Charts. The following covariates were included: sex of the child. urbanicity (urban/rural), region of residence and maternal education. Benefiting from food assistance programmes and socioeconomic status index were also included. Results were expressed as adjusted ORs.ResultsStunting proved more prevalent in preschool children with moderate or severe HFI (16.2% and 16.8%, respectively) (p=0.036 and p=0.007, respectively) than in their counterparts with mild or no HFI (13.2% and 10.7%, respectively). Furthermore, the interaction between HFI and maternal obesity had a significant impact on stunting in preschool children (p<0.05). Severe HFI increased risk of stunting in children with non-obese mothers but not in those with obese mothers.ConclusionWe have discovered a new relationship between HFI and maternal obesity on the one hand and risk of childhood stunting on the other hand. This may reflect a shared mechanism involving dual forms of malnutrition.

Project description:Aims of the studyDespite the widespread existence of guidelines regarding undernutrition monitoring and reporting, there is scarce information whether they are followed. We aimed to evaluate the adherence to guidelines regarding undernutrition monitoring and reporting as well as their determinants in a university hospital.MethodsRetrospective analysis of discharged patients with data on Nutritional Risk Screening score (NRS-2002) from the department of internal medicine of the Lausanne University Hospital for years 2013-14. Adherence to the hospital monitoring guidelines, i.e.: 1) discharged patients with NRS-2002 score≥3 should have prealbumin levels measured, and 2) discharged patients with prealbumin levels<0.20 g/l should be rechecked 7 days afterwards, was assessed. Reporting of nutritionally 'at-risk' status in the discharge letter was also assessed. Multivariable logistic regression was used to examine potential determinants of adherence to guidelines.ResultsOf the 2,539 discharged patients with NRS-2002 data, 1,605 (63.0%) were nutritionally 'at-risk'. Complete adherence to the monitoring guideline was observed in 238 (14.8%) of 'at-risk' patients. After multivariable analysis, adherence to the first step of monitoring guideline was associated with older age (≥ 80 years) [OR (95% CI): 2.03 (1.29-3.18)], high comorbidity index [1.36 (1.05-1.77)], and nutritional management [5.57 (4.38-7.07)]. Nutritional management was also associated with adherence to the second step of monitoring [3.98 (2.33-6.78)]. Adherence to the reporting guideline was observed in 343 (21.4%) of 'at-risk' patients. Multivariable analysis showed that adherence to the reporting guideline was associated with NRS-2002 score>4 [1.97 (1.47-2.64)], nutritional management [3.80 (2.85-5.07)], and adherence to the monitoring guideline [3.33 (2.35-4.71)].ConclusionsOur results show a poor adherence to guidelines regarding undernutrition monitoring and reporting, possibly due to lack of training, staff, and time.

Project description:Background and aimsPatients with COVID-19 infection presents with a broad clinical spectrum of symptoms and complications. As a consequence nutritional requirements are not met, resulting in weight- and muscle loss, and malnutrition. The aim of the present study is to delineate nutritional complaints, the (course of the) nutritional status and risk of sarcopenia of COVID-19 patients, during hospitalisation and after discharge.MethodsIn this prospective observational study in 407 hospital admitted COVID-19 patients in four university and peripheral hospitals, data were collected during dietetic consultations. Presence of nutrition related complaints (decreased appetite, loss of smell, changed taste, loss of taste, chewing and swallowing problems, nausea, vomiting, feeling of being full, stool frequency and consistency, gastric retention, need for help with food intake due to weakness and shortness of breath and nutritional status (weight loss, BMI, risk of sarcopenia with SARC-F ≥4 points) before, during hospital stay and after discharge were, where possible, collected.ResultsIncluded patients were most men (69%), median age of 64.8 ± 12.4 years, 60% were admitted to ICU at any time point during hospitalisation with a median LOS of 15 days and an in-hospital mortality rate of 21%. The most commonly reported complaints were: decreased appetite (58%), feeling of being full (49%) and shortness of breath (43%). One in three patients experienced changed taste, loss of taste and/or loss of smell. Prior to hospital admission, 67% of the patients was overweight (BMI >25 kg/m2), 35% of the patients was characterised as malnourished, mainly caused by considerable weight loss. Serious acute weight loss (>5 kg) was showed in 22% of the patents during the hospital stay; most of these patients (85%) were admitted to the ICU at any point in time. A high risk of sarcopenia (SARC-F ≥ 4 points) was scored in 73% of the patients during hospital admission.ConclusionIn conclusion, one in five hospital admitted COVID-19 patients suffered from serious acute weight loss and 73% had a high risk of sarcopenia. Moreover, almost all patients had one or more nutritional complaints. Of these complaints, decreased appetite, feeling of being full, shortness of breath and changed taste and loss of taste were the most predominant nutrition related complaints. These symptoms have serious repercussions on nutritional status. Although nutritional complaints persisted a long time after discharge, only a small group of patients received dietetic treatment after hospital discharge in recovery phase. Clinicians should consider the risks of acute malnutrition and sarcopenia in COVID-19 patients and investigate multidisciplinary treatment including dietetics during hospital stay and after discharge.

Dataset Information

Food Choices and Consequences for the Nutritional Status: Insights into Nutrition Transition in an Hospital Community.

Introduction

Material and methods

Results

Conclusion

Publications

Food Choices and Consequences for the Nutritional Status: Insights into Nutrition Transition in an Hospital Community.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets