Ontology type: schema:ScholarlyArticle Open Access: True
2017-05-08
AUTHORSYu Mon Saw, Thu Nandar Saw, Junko Yasuoka, Nyein Chan, Nang Pann Ei Kham, Wint Khine, Su Myat Cho, Masamine Jimba
ABSTRACTBackgroundGlobally, methamphetamine (MA) use is a significant public health concern due to unprecedented health effects of its use. However, gender similarities and differences in early age of MA initiation and its risk factors among current MA users have been understudied in a developing country setting.MethodsA community-based, cross-sectional study was conducted using a computer assisted self-interviewing program from January to March 2013 in Muse, Northern Shan State, Myanmar. A total of 1362 (775 male and 587 female) self-reported current MA users aged between 18 and 35 years were recruited using respondent-driven sampling. Two gender-stratified multiple logistic regression models (models I and II) were done for analysis.ResultsFor similarities, 73.0% of males and 60.5% of females initiated MA before their 18th birthday. The early age of MA initiation was positively associated with the reasons and places of the first time MA use among both genders. For differences, males [hazard ratio 1.35; 95% confidence interval, 1.18–1.54] had a significantly higher risk than females to initiate MA at earlier age. Among male users, participants who had bisexual/homosexual preferences were more likely to initiate MA use earlier. In contrast, female users who exchanged sex for money and/or drugs were more likely to initiate MA in earlier age.ConclusionsMore than 60.0% of male and female participants initiated MA use early; however, males initiated use earlier than females. Although similarities were found among both genders, differences found in key risk factors for early age MA initiation suggest that gender-specific, MA prevention programs are urgently needed in Myanmar. More... »
PAGES21
http://scigraph.springernature.com/pub.10.1186/s12954-017-0147-0
DOIhttp://dx.doi.org/10.1186/s12954-017-0147-0
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1085211176
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/28482847
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Public Health and Health Services",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Adult",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Age Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Age of Onset",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Amphetamine-Related Disorders",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Cross-Sectional Studies",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Drug Users",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Female",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Humans",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Male",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Methamphetamine",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Myanmar",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Risk Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Sex Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Socioeconomic Factors",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Surveys and Questionnaires",
"type": "DefinedTerm"
},
{
"inDefinedTermSet": "https://www.nlm.nih.gov/mesh/",
"name": "Young Adult",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Nagoya University Asian Satellite Campuses Institute, Nagoya, Japan",
"id": "http://www.grid.ac/institutes/grid.27476.30",
"name": [
"Department of Healthcare Administration, Graduate School of Medicine, Nagoya University, 65 Tsurumai-cho, Showa-ku, 466-8550, Nagoya, Japan",
"Nagoya University Asian Satellite Campuses Institute, Nagoya, Japan"
],
"type": "Organization"
},
"familyName": "Saw",
"givenName": "Yu Mon",
"id": "sg:person.0755426070.06",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0755426070.06"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Community and Global Health, Graduate School of Medicine, University of Tokyo, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.26999.3d",
"name": [
"Myanma Perfect Research, Yangon, Myanmar",
"Department of Community and Global Health, Graduate School of Medicine, University of Tokyo, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Saw",
"givenName": "Thu Nandar",
"id": "sg:person.01206103070.77",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206103070.77"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Community and Global Health, Graduate School of Medicine, University of Tokyo, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.26999.3d",
"name": [
"Department of Community and Global Health, Graduate School of Medicine, University of Tokyo, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Yasuoka",
"givenName": "Junko",
"id": "sg:person.01137051460.08",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01137051460.08"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Social Research, Defence Services Medical Research Centre, Tatkone Township, Nay Pyi Taw, Myanmar",
"id": "http://www.grid.ac/institutes/None",
"name": [
"Department of Social Research, Defence Services Medical Research Centre, Tatkone Township, Nay Pyi Taw, Myanmar"
],
"type": "Organization"
},
"familyName": "Chan",
"givenName": "Nyein",
"id": "sg:person.012524326337.05",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012524326337.05"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, USA",
"id": "http://www.grid.ac/institutes/grid.224260.0",
"name": [
"Institute for Drug and Alcohol Studies, Virginia Commonwealth University, Richmond, VA, USA"
],
"type": "Organization"
},
"familyName": "Kham",
"givenName": "Nang Pann Ei",
"id": "sg:person.0723761520.82",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723761520.82"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Save the Children, Bahan Township, Yangon, Myanmar",
"id": "http://www.grid.ac/institutes/None",
"name": [
"Save the Children, Bahan Township, Yangon, Myanmar"
],
"type": "Organization"
},
"familyName": "Khine",
"givenName": "Wint",
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Healthcare Administration, Graduate School of Medicine, Nagoya University, 65 Tsurumai-cho, Showa-ku, 466-8550, Nagoya, Japan",
"id": "http://www.grid.ac/institutes/grid.27476.30",
"name": [
"Department of Healthcare Administration, Graduate School of Medicine, Nagoya University, 65 Tsurumai-cho, Showa-ku, 466-8550, Nagoya, Japan"
],
"type": "Organization"
},
"familyName": "Cho",
"givenName": "Su Myat",
"id": "sg:person.015620053347.25",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015620053347.25"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Community and Global Health, Graduate School of Medicine, University of Tokyo, Tokyo, Japan",
"id": "http://www.grid.ac/institutes/grid.26999.3d",
"name": [
"Department of Community and Global Health, Graduate School of Medicine, University of Tokyo, Tokyo, Japan"
],
"type": "Organization"
},
"familyName": "Jimba",
"givenName": "Masamine",
"id": "sg:person.0743427150.52",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0743427150.52"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1186/2042-6410-3-14",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000149755",
"https://doi.org/10.1186/2042-6410-3-14"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1023/a:1022807221074",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020913477",
"https://doi.org/10.1023/a:1022807221074"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1093/jurban/79.4.525",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044378344",
"https://doi.org/10.1093/jurban/79.4.525"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s12954-016-0123-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019402017",
"https://doi.org/10.1186/s12954-016-0123-0"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1471-2458-14-735",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1019420065",
"https://doi.org/10.1186/1471-2458-14-735"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1747-597x-6-18",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015781251",
"https://doi.org/10.1186/1747-597x-6-18"
],
"type": "CreativeWork"
}
],
"datePublished": "2017-05-08",
"datePublishedReg": "2017-05-08",
"description": "BackgroundGlobally, methamphetamine (MA) use is a significant public health concern due to unprecedented health effects of its use. However, gender similarities and differences in early age of MA initiation and its risk factors among current MA users have been understudied in a developing country setting.MethodsA community-based, cross-sectional study was conducted using a computer assisted self-interviewing program from January to March 2013 in Muse, Northern Shan State, Myanmar. A total of 1362 (775 male and 587 female) self-reported current MA users aged between 18 and 35\u00a0years were recruited using respondent-driven sampling. Two gender-stratified multiple logistic regression models (models I and II) were done for analysis.ResultsFor similarities, 73.0% of males and 60.5% of females initiated MA before their 18th birthday. The early age of MA initiation was positively associated with the reasons and places of the first time MA use among both genders. For differences, males [hazard ratio 1.35; 95% confidence interval, 1.18\u20131.54] had a significantly higher risk than females to initiate MA at earlier age. Among male users, participants who had bisexual/homosexual preferences were more likely to initiate MA use earlier. In contrast, female users who exchanged sex for money and/or drugs were more likely to initiate MA in earlier age.ConclusionsMore than 60.0% of male and female participants initiated MA use early; however, males initiated use earlier than females. Although similarities were found among both genders, differences found in key risk factors for early age MA initiation suggest that gender-specific, MA prevention programs are urgently needed in Myanmar.",
"genre": "article",
"id": "sg:pub.10.1186/s12954-017-0147-0",
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1031325",
"issn": [
"1477-7517"
],
"name": "Harm Reduction Journal",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "14"
}
],
"keywords": [
"risk factors",
"MA use",
"methamphetamine use",
"early age",
"multiple logistic regression model",
"significant public health concern",
"MA users",
"cross-sectional study",
"public health concern",
"logistic regression models",
"key risk factors",
"respondent-driven sampling",
"current methamphetamine users",
"early initiation",
"high risk",
"prevention programs",
"health concern",
"health effects",
"methamphetamine users",
"age",
"female participants",
"country settings",
"males",
"regression models",
"females",
"homosexual preference",
"gender differences",
"initiation",
"participants",
"gender",
"differences",
"ConclusionsMore",
"MethodsA",
"drugs",
"sex",
"factors",
"female users",
"total",
"risk",
"male users",
"use",
"years",
"setting",
"MA initiation",
"program",
"Northern Shan State",
"study",
"gender similarities",
"contrast",
"effect",
"Myanmar",
"concern",
"birthday",
"sampling",
"reasons",
"analysis",
"similarity",
"Shan State",
"preferences",
"state",
"model",
"users",
"place",
"MUSE",
"Ma",
"money",
"computer"
],
"name": "Gender difference in early initiation of methamphetamine use among current methamphetamine users in Muse, Northern Shan State, Myanmar",
"pagination": "21",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1085211176"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/s12954-017-0147-0"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"28482847"
]
}
],
"sameAs": [
"https://doi.org/10.1186/s12954-017-0147-0",
"https://app.dimensions.ai/details/publication/pub.1085211176"
],
"sdDataset": "articles",
"sdDatePublished": "2022-08-04T17:06",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_751.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1186/s12954-017-0147-0"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12954-017-0147-0'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12954-017-0147-0'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12954-017-0147-0'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12954-017-0147-0'
This table displays all metadata directly associated to this object as RDF triples.
277 TRIPLES
21 PREDICATES
114 URIs
100 LITERALS
23 BLANK NODES