Dataset Information

Household migration and children's diet in Nepal: an exploratory study.

ABSTRACT:

Objective

Individuals from low-income countries often migrate abroad for employment. The association between such migration and investment in education as well as other societal and familial outcomes has previously been examined. However, we have a limited understanding of the association between migration and children's nutrition. We aim to determine the extent to which migration of household members influences children's diet in a semi-urban region of Nepal.

Results

In our study setting, children in households with a migrant had higher dietary diversity scores, 0.69 on average, than their counterparts in households without a migrant. These children were approximately 43% points more likely to meet a minimum requirement for dietary diversity. These differences originated primarily from higher consumption of meat (41% points) and eggs (20% points). Approximately 37 percent of children in the sample consumed processed food during the 24 h preceding the survey. However, we found no evidence that migration was associated with the consumption of processed foods or with reduced frequency of breastfeeding. Our finding that migration is associated with higher consumption of meat and eggs is particularly encouraging, given that the protein deficiency in Nepal is estimated to be nearly 43 percent.

SUBMITTER: Acharya Y

PROVIDER: S-EPMC6625056 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Household migration and children's diet in Nepal: an exploratory study.

Acharya Yubraj Y Ghimire Dirgha J DJ Bhandari Prem P Ghimire Ramesh R Jones Andrew D AD

BMC research notes 20190711 1

<h4>Objective</h4>Individuals from low-income countries often migrate abroad for employment. The association between such migration and investment in education as well as other societal and familial outcomes has previously been examined. However, we have a limited understanding of the association between migration and children's nutrition. We aim to determine the extent to which migration of household members influences children's diet in a semi-urban region of Nepal.<h4>Results</h4>In our study ...[more]

PMID: 31296262

Similar Datasets

Project description:BackgroundChaotic home environments may contribute to children's attention-deficit hyperactivity disorder (ADHD) symptoms. However, ADHD genetic risk may also influence household chaos. This study investigated whether children in chaotic households had more ADHD symptoms, if mothers and children with higher ADHD genetic risk lived in more chaotic households, and the joint association of genetic risk and household chaos on the longitudinal course of ADHD symptoms across childhood.MethodsParticipants were mothers and children from the Environmental Risk (E-Risk) Longitudinal Twin Study, a UK population-representative birth cohort of 2,232 twins. Children's ADHD symptoms were assessed at ages 5, 7, 10 and 12 years. Household chaos was rated by research workers at ages 7, 10 and 12, and by mother's and twin's self-report at age 12. Genome-wide ADHD polygenic risk scores (PRS) were calculated for mothers (n = 880) and twins (n = 1,999); of these, n = 871 mothers and n = 1,925 children had information on children's ADHD and household chaos.ResultsChildren in more chaotic households had higher ADHD symptoms. Mothers and children with higher ADHD PRS lived in more chaotic households. Children's ADHD PRS was associated with household chaos over and above mother's PRS, suggesting evocative gene-environment correlation. Children in more chaotic households had higher baseline ADHD symptoms and a slower rate of decline in symptoms. However, sensitivity analyses estimated that gene-environment correlation accounted for a large proportion of the association of household chaos on ADHD symptoms.ConclusionsChildren's ADHD genetic risk was independently associated with higher levels of household chaos, emphasising the active role of children in shaping their home environment. Our findings suggest that household chaos partly reflects children's genetic risk for ADHD, calling into question whether household chaos directly influences children's core ADHD symptoms. Our findings highlight the importance of considering parent and child genetic risk in relation to apparent environmental exposures.

Project description:OBJECTIVES:Non-communicable diseases account for 50% of all deaths in Nepal and 25% result from cardiovascular diseases. Previous studies in Nepal indicate a high burden of behavioural cardiovascular risk factors, suggesting a low level of knowledge, attitude and practice/behaviour regarding cardiovascular health. The behavioural foundation for a healthy lifestyle begins in early childhood, when mothers play a key role in their children's lives. This qualitative study, conducted in a Nepalese peri-urban community, aimed to explore mothers' perception of their children's diet and physical activity. DESIGN:We notated, tape-recorded and transcribed all data collected from six focus group discussions, and used qualitative content analysis for evaluation and interpretation. SETTING:The study was conducted in the Jhaukhel-Duwakot Health Demographic Surveillance Site in the Bhaktapur district of Nepal. PARTICIPANTS:Local health workers helped recruit 61 women with children aged 5-10?years. We distributed participants among six different groups according to educational status. RESULTS:Although participants understood the importance of healthy food, they misunderstood its composition, perceiving it as unappetising and appropriate only for sick people. Furthermore, participants did not prioritise their children's physical activities. Moreover, mothers believed they had limited control over their children's dietary habits and physical activity. Finally, they opined that health educational programmes would help mothers and recommended various intervention strategies to increase knowledge regarding a healthy lifestyle. CONCLUSIONS:Our data reveal that mothers of young children in a peri-urban community of Nepal lack adequate and accurate understanding about the impact of a healthy diet and physical activity. Therefore, to prevent future cardiovascular disease and other non-communicable diseases among children, Nepal needs health education programmes to improve mothers' cardiovascular health knowledge, attitude and behaviour.

Project description:PAPER 1:"Identification of novel subgroups of high-risk pediatric precursor B acute lymphoblastic leukemia (B-ALL) by unsupervised microarray analysis: clinical correlates and therapeutic implications. A Children's Oncology Group (COG) study." ABSTRACT We examined gene expression profiles of pre-treatment specimens from 207 patients from the COG P9906 study to identify signatures of children with high risk B-precursor acute lymphoblastic leukemia (ALL) and to determine whether the resulting clusters are associated with either specific clinical features or treatment response characteristics. Four unsupervised clustering methods were utilized to classify patients into similar groups. The different clustering algorithms showed significant overlap in cluster membership. Two clusters contained all cases with either t(1;19)(q23;p13) translocations or MLL rearrangements. The other six clusters were novel and had no recurring chromosomal abnormalities or distinctive clinical features. Members of two of these novel clusters had significant survival differences when compared to the overall 4-year relapse-free survival (RFS) of 61%. These included clusters of patients with either significantly better (94.7%) or worse (21.0%) RFS at 4 years. Children of Hispanic/Latino ethnicity were disproportionately present in the poor outcome cluster. The poor outcome cluster represents a novel biologically distinctive subset of B-precursor ALL that may occur at least as frequently as BCR/ABL. Further molecular characterization of this cluster may lead to the discovery of genomic abnormalities that can be targeted to improve the currently dismal outcome for children with this gene signature. The Sample data have also been used in another study: PAPER 2: "Gene expression classifiers for minimal residual disease and relapse free survival improve outcome prediction and risk classification in children with high risk acute lymphoblastic leukemia. A Children's Oncology Group study". ABSTRACT Background. Nearly 25% of children with B-precursor ALL present with "high-risk" disease (HR-ALL) that is resistant to current therapies. Gene expression profiling may yield molecular classifiers for outcome prediction that can be used to improve risk classification and therapeutic targeting. Methods. Expression profiles were obtained in pre-treatment leukemic samples from 207 uniformly treated children with HR-ALL. Relapse free survival (RFS) was 61% at 4 years and flow cytometric measures of minimal residual disease (MRD) at the end of induction (day 29) were predictive of outcome (P<0.001). Molecular classifiers predictive of RFS and MRD were developed using extensive cross-validation procedures. Results. A 38 gene molecular risk classifier predictive of RFS (MRC-RFS) distinguished two groups in HR-ALL with different relapse risks: low (4 yr RFS: 81%, n=109) vs. high (4 yr RFS: 50%, n=98) (P<0.0001). In multivariate analysis, the best predictor combined MRC-RFS and day 29 flow MRD data, classifying children into low (87% RFS), intermediate (62% RFS), or high risk (29% RFS) groups (P<0.0001). A 21 gene molecular classifier predictive of MRD could effectively substitute for day 29 flow MRD, yielding a combined classifier that similarly distinguished three risk groups at pre-treatment (low: 82% RFS; intermediate: 63% RFS; and high risk: 45% RFS) (P<0.0001). This combined molecular classifier was further validated on an independent cohort of 84 children with HR-ALL (P = 0.006). Conclusions. Molecular classifiers predictive of RFS and MRD can be used to distinguish distinct prognostic groups within HR-ALL, significantly improving risk classification schemes and the ability to prospectively identify children at diagnosis who will respond to or fail current treatment regimens. NOTE: Due to Children's Oncology Group (COG) restrictions, outcome and MRD data cannot be provided as part of the covariate data for this dataset at the present time. If you would like to arrange individual access to this data, please contact COG or the PI of this study, Dr. Cheryl Willman, at the University of New Mexico Cancer Center (cwillman@unm.edu) to arrange a collaboration.

Dataset Information

Household migration and children's diet in Nepal: an exploratory study.

Objective

Results

Publications

Household migration and children's diet in Nepal: an exploratory study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets