The relationship between risk of eating disorders, age, gender and body mass index in medical students: a meta-regression View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-11-14

AUTHORS

Haitham Jahrami, Zahraa Saif, Mo’ez Al-Islam Faris, Michael P. Levine

ABSTRACT

PurposeAge, gender and body mass index (BMI) are commonly described risk factors for the development of eating disorders. However, the magnitude of these factors (individually and together) is still not well-defined in some populations.MethodsA systematic search was performed for studies that reported the prevalence of eating disorder risk among medical students using the Eating Attitudes Test-26 (EAT-26) and age, gender and BMI as risk factors. We included studies published in English peer-reviewed journals between 1982 and 2017. A total of 14 studies were included in the analyses, and the meta-regression analyses were performed using mean age (years), gender (proportion of female subjects), and mean BMI (kg/m2) as moderators with the risk of eating disorders measured using EAT-26 as an outcome variable. Four interaction terms were created (1) age × gender (2) age × BMI (3) gender × BMI and (4) age × gender × BMI to assess if two or more independent variables simultaneously influence the outcome variable.ResultsUtilizing the EAT-26, the pooled prevalence of at risk for eating disorders among medical students (k = 14, N = 3520) was 10.5% (95% CI 7.3–13.7%). Meta-regression model of age, gender and BMI alone revealed poor predictive capabilities. Meta-regression model of age × gender × BMI interaction revealed statistically significant results with a covariate coefficient of 0.001 and p value of 0.044.ConclusionResults from this sample of medical students provided evidence for the role of interactions between risk factors (e.g., age × gender × BMI) in predicting individuals at risk for eating disorders, whereas these variables individually failed to predict eating disorders.Level of evidenceLevel I, systematic review and meta-analysis. More... »

PAGES

169-177

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s40519-018-0618-7

DOI

http://dx.doi.org/10.1007/s40519-018-0618-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1109902004

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30430465


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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": "Age Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Body Mass Index", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Feeding and Eating Disorders", 
        "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": "Risk Assessment", 
        "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": "Students, Medical", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain", 
          "id": "http://www.grid.ac/institutes/grid.411424.6", 
          "name": [
            "Ministry of Health, Manama, Bahrain", 
            "College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jahrami", 
        "givenName": "Haitham", 
        "id": "sg:person.01340341213.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340341213.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Ministry of Health, Manama, Bahrain", 
          "id": "http://www.grid.ac/institutes/grid.415725.0", 
          "name": [
            "Ministry of Health, Manama, Bahrain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saif", 
        "givenName": "Zahraa", 
        "id": "sg:person.01323615773.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323615773.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Clinical Nutrition and Dietetics, College of Health Sciences/Sharjah Institute for Medical Research (SIMR), University of Sharjah, Sharjah, United Arab Emirates", 
          "id": "http://www.grid.ac/institutes/grid.412789.1", 
          "name": [
            "Department of Clinical Nutrition and Dietetics, College of Health Sciences/Sharjah Institute for Medical Research (SIMR), University of Sharjah, Sharjah, United Arab Emirates"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Faris", 
        "givenName": "Mo\u2019ez Al-Islam", 
        "id": "sg:person.012337636530.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012337636530.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Emeritus Professor, Department of Psychology, Kenyon College, Gambier, OH, USA", 
          "id": "http://www.grid.ac/institutes/grid.258533.a", 
          "name": [
            "Emeritus Professor, Department of Psychology, Kenyon College, Gambier, OH, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Levine", 
        "givenName": "Michael P.", 
        "id": "sg:person.01175663337.67", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175663337.67"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/sj.ijo.0802033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048425094", 
          "https://doi.org/10.1038/sj.ijo.0802033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s40519-016-0283-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037171590", 
          "https://doi.org/10.1007/s40519-016-0283-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11920-012-0282-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017679913", 
          "https://doi.org/10.1007/s11920-012-0282-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1756-0500-5-84", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009223202", 
          "https://doi.org/10.1186/1756-0500-5-84"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-10-314", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022263450", 
          "https://doi.org/10.1186/1471-2458-10-314"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-14-524", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028453914", 
          "https://doi.org/10.1186/1471-2458-14-524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s40519-018-0507-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103520985", 
          "https://doi.org/10.1007/s40519-018-0507-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1176/appi.ap.12010003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024504514", 
          "https://doi.org/10.1176/appi.ap.12010003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s40519-018-0516-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104131355", 
          "https://doi.org/10.1007/s40519-018-0516-z"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-11-14", 
    "datePublishedReg": "2018-11-14", 
    "description": "PurposeAge, gender and body mass index (BMI) are commonly described risk factors for the development of eating disorders. However, the magnitude of these factors (individually and together) is still not well-defined in some populations.MethodsA systematic search was performed for studies that reported the prevalence of eating disorder risk among medical students using the Eating Attitudes Test-26 (EAT-26) and age, gender and BMI as risk factors. We included studies published in English peer-reviewed journals between 1982 and 2017. A total of 14 studies were included in the analyses, and the meta-regression analyses were performed using mean age (years), gender (proportion of female subjects), and mean BMI (kg/m2) as moderators with the risk of eating disorders measured using EAT-26 as an outcome variable. Four interaction terms were created (1) age\u00a0\u00d7\u00a0gender (2) age\u00a0\u00d7\u00a0BMI (3) gender\u00a0\u00d7\u00a0BMI and (4) age\u00a0\u00d7\u00a0gender\u00a0\u00d7\u00a0BMI to assess if two or more independent variables simultaneously influence the outcome variable.ResultsUtilizing the EAT-26, the pooled prevalence of at risk for eating disorders among medical students (k\u2009=\u200914, N\u2009=\u20093520) was 10.5% (95% CI 7.3\u201313.7%). Meta-regression model of age, gender and BMI alone revealed poor predictive capabilities. Meta-regression model of age\u00a0\u00d7\u00a0gender\u00a0\u00d7\u00a0BMI interaction revealed statistically significant results with a covariate coefficient of 0.001 and p value of 0.044.ConclusionResults from this sample of medical students provided evidence for the role of interactions between risk factors (e.g., age\u00a0\u00d7\u00a0gender\u00a0\u00d7\u00a0BMI) in predicting individuals at risk for eating disorders, whereas these variables individually failed to predict eating disorders.Level of evidenceLevel I, systematic review and meta-analysis.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s40519-018-0618-7", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1116829", 
        "issn": [
          "1124-4909", 
          "1590-1262"
        ], 
        "name": "Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "24"
      }
    ], 
    "keywords": [
      "body mass index", 
      "risk factors", 
      "meta-regression models", 
      "mass index", 
      "English peer-reviewed journals", 
      "MethodsA systematic search", 
      "meta-regression analysis", 
      "EAT-26", 
      "medical students", 
      "peer-reviewed journals", 
      "pooled prevalence", 
      "mean age", 
      "evidenceLevel I", 
      "Eating Attitudes Test-26", 
      "gender age", 
      "BMI interaction", 
      "systematic review", 
      "systematic search", 
      "disorders", 
      "disorder risk", 
      "age", 
      "risk", 
      "prevalence", 
      "gender", 
      "outcomes", 
      "factors", 
      "PurposeAge", 
      "study", 
      "significant results", 
      "index", 
      "total", 
      "interaction terms", 
      "independent variables", 
      "review", 
      "population", 
      "individuals", 
      "evidence", 
      "poor predictive capability", 
      "levels", 
      "variables", 
      "role", 
      "analysis", 
      "role of interactions", 
      "search", 
      "samples", 
      "development", 
      "relationship", 
      "moderator", 
      "covariate coefficients", 
      "interaction", 
      "results", 
      "model", 
      "journals", 
      "values", 
      "students", 
      "magnitude", 
      "terms", 
      "predictive capability", 
      "coefficient", 
      "capability", 
      "Attitudes Test-26", 
      "Test-26", 
      "BMI (3) gender"
    ], 
    "name": "The relationship between risk of eating disorders, age, gender and body mass index in medical students: a meta-regression", 
    "pagination": "169-177", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1109902004"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s40519-018-0618-7"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30430465"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s40519-018-0618-7", 
      "https://app.dimensions.ai/details/publication/pub.1109902004"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-12-01T19:42", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211201/entities/gbq_results/article/article_778.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s40519-018-0618-7"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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.10.1007/s40519-018-0618-7'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s40519-018-0618-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s40519-018-0618-7'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s40519-018-0618-7'


 

This table displays all metadata directly associated to this object as RDF triples.

232 TRIPLES      22 PREDICATES      108 URIs      91 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s40519-018-0618-7 schema:about N313b10e7714946079f5a0e859650ee7e
2 N3238f18574624263ba1f8f3aada1ec0b
3 N395a17247ce8494f99d9c27b7a81635e
4 N452350a3f64a4b9dadd97e6cb573bf35
5 N6ee24cdd43e8472495f8c441fbc267e3
6 N923e5aed1af34c56bc882022639fbd2c
7 N97cb63ecda4048638953456c63f96d41
8 Nbfac2e2fbcee4017b058cba336db3225
9 Ndb2c412f9e6140f2bf2d641f828343fe
10 Ne5f5d3d25eba4406b7c53ed1fc5a2d24
11 anzsrc-for:11
12 anzsrc-for:1117
13 schema:author N4e5164fd2107453aa5838189d8f24907
14 schema:citation sg:pub.10.1007/s11920-012-0282-y
15 sg:pub.10.1007/s40519-016-0283-7
16 sg:pub.10.1007/s40519-018-0507-0
17 sg:pub.10.1007/s40519-018-0516-z
18 sg:pub.10.1038/sj.ijo.0802033
19 sg:pub.10.1176/appi.ap.12010003
20 sg:pub.10.1186/1471-2458-10-314
21 sg:pub.10.1186/1471-2458-14-524
22 sg:pub.10.1186/1756-0500-5-84
23 schema:datePublished 2018-11-14
24 schema:datePublishedReg 2018-11-14
25 schema:description PurposeAge, gender and body mass index (BMI) are commonly described risk factors for the development of eating disorders. However, the magnitude of these factors (individually and together) is still not well-defined in some populations.MethodsA systematic search was performed for studies that reported the prevalence of eating disorder risk among medical students using the Eating Attitudes Test-26 (EAT-26) and age, gender and BMI as risk factors. We included studies published in English peer-reviewed journals between 1982 and 2017. A total of 14 studies were included in the analyses, and the meta-regression analyses were performed using mean age (years), gender (proportion of female subjects), and mean BMI (kg/m2) as moderators with the risk of eating disorders measured using EAT-26 as an outcome variable. Four interaction terms were created (1) age × gender (2) age × BMI (3) gender × BMI and (4) age × gender × BMI to assess if two or more independent variables simultaneously influence the outcome variable.ResultsUtilizing the EAT-26, the pooled prevalence of at risk for eating disorders among medical students (k = 14, N = 3520) was 10.5% (95% CI 7.3–13.7%). Meta-regression model of age, gender and BMI alone revealed poor predictive capabilities. Meta-regression model of age × gender × BMI interaction revealed statistically significant results with a covariate coefficient of 0.001 and p value of 0.044.ConclusionResults from this sample of medical students provided evidence for the role of interactions between risk factors (e.g., age × gender × BMI) in predicting individuals at risk for eating disorders, whereas these variables individually failed to predict eating disorders.Level of evidenceLevel I, systematic review and meta-analysis.
26 schema:genre article
27 schema:inLanguage en
28 schema:isAccessibleForFree false
29 schema:isPartOf N7231ceb87fdd40f285888c25e3bba3b7
30 Nd0ff4a032f8745818787b11a554315f2
31 sg:journal.1116829
32 schema:keywords Attitudes Test-26
33 BMI (3) gender
34 BMI interaction
35 EAT-26
36 Eating Attitudes Test-26
37 English peer-reviewed journals
38 MethodsA systematic search
39 PurposeAge
40 Test-26
41 age
42 analysis
43 body mass index
44 capability
45 coefficient
46 covariate coefficients
47 development
48 disorder risk
49 disorders
50 evidence
51 evidenceLevel I
52 factors
53 gender
54 gender age
55 independent variables
56 index
57 individuals
58 interaction
59 interaction terms
60 journals
61 levels
62 magnitude
63 mass index
64 mean age
65 medical students
66 meta-regression analysis
67 meta-regression models
68 model
69 moderator
70 outcomes
71 peer-reviewed journals
72 pooled prevalence
73 poor predictive capability
74 population
75 predictive capability
76 prevalence
77 relationship
78 results
79 review
80 risk
81 risk factors
82 role
83 role of interactions
84 samples
85 search
86 significant results
87 students
88 study
89 systematic review
90 systematic search
91 terms
92 total
93 values
94 variables
95 schema:name The relationship between risk of eating disorders, age, gender and body mass index in medical students: a meta-regression
96 schema:pagination 169-177
97 schema:productId N0f9216ef81b143a1a4c288b7efc228df
98 N170fd9491b7745ba82886eb716576870
99 Na96954a225024c53a9707ecadc9a5321
100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109902004
101 https://doi.org/10.1007/s40519-018-0618-7
102 schema:sdDatePublished 2021-12-01T19:42
103 schema:sdLicense https://scigraph.springernature.com/explorer/license/
104 schema:sdPublisher N5bbd5d1666fd4c828bdfb723a1749eb7
105 schema:url https://doi.org/10.1007/s40519-018-0618-7
106 sgo:license sg:explorer/license/
107 sgo:sdDataset articles
108 rdf:type schema:ScholarlyArticle
109 N001fc373d2014bf6b347b07169fc3333 rdf:first sg:person.012337636530.60
110 rdf:rest Nc05a8a69f8c24149b562ead8850b6a29
111 N0f9216ef81b143a1a4c288b7efc228df schema:name pubmed_id
112 schema:value 30430465
113 rdf:type schema:PropertyValue
114 N170fd9491b7745ba82886eb716576870 schema:name dimensions_id
115 schema:value pub.1109902004
116 rdf:type schema:PropertyValue
117 N313b10e7714946079f5a0e859650ee7e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Male
119 rdf:type schema:DefinedTerm
120 N3238f18574624263ba1f8f3aada1ec0b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Sex Factors
122 rdf:type schema:DefinedTerm
123 N395a17247ce8494f99d9c27b7a81635e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Female
125 rdf:type schema:DefinedTerm
126 N452350a3f64a4b9dadd97e6cb573bf35 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Risk Assessment
128 rdf:type schema:DefinedTerm
129 N4e5164fd2107453aa5838189d8f24907 rdf:first sg:person.01340341213.54
130 rdf:rest Nb51f7e2c50644d02aa10a6f4fcaa2de3
131 N5bbd5d1666fd4c828bdfb723a1749eb7 schema:name Springer Nature - SN SciGraph project
132 rdf:type schema:Organization
133 N6ee24cdd43e8472495f8c441fbc267e3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Humans
135 rdf:type schema:DefinedTerm
136 N7231ceb87fdd40f285888c25e3bba3b7 schema:volumeNumber 24
137 rdf:type schema:PublicationVolume
138 N923e5aed1af34c56bc882022639fbd2c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Age Factors
140 rdf:type schema:DefinedTerm
141 N97cb63ecda4048638953456c63f96d41 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Students, Medical
143 rdf:type schema:DefinedTerm
144 Na96954a225024c53a9707ecadc9a5321 schema:name doi
145 schema:value 10.1007/s40519-018-0618-7
146 rdf:type schema:PropertyValue
147 Nb51f7e2c50644d02aa10a6f4fcaa2de3 rdf:first sg:person.01323615773.88
148 rdf:rest N001fc373d2014bf6b347b07169fc3333
149 Nbfac2e2fbcee4017b058cba336db3225 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Risk Factors
151 rdf:type schema:DefinedTerm
152 Nc05a8a69f8c24149b562ead8850b6a29 rdf:first sg:person.01175663337.67
153 rdf:rest rdf:nil
154 Nd0ff4a032f8745818787b11a554315f2 schema:issueNumber 2
155 rdf:type schema:PublicationIssue
156 Ndb2c412f9e6140f2bf2d641f828343fe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Feeding and Eating Disorders
158 rdf:type schema:DefinedTerm
159 Ne5f5d3d25eba4406b7c53ed1fc5a2d24 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
160 schema:name Body Mass Index
161 rdf:type schema:DefinedTerm
162 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
163 schema:name Medical and Health Sciences
164 rdf:type schema:DefinedTerm
165 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
166 schema:name Public Health and Health Services
167 rdf:type schema:DefinedTerm
168 sg:journal.1116829 schema:issn 1124-4909
169 1590-1262
170 schema:name Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity
171 schema:publisher Springer Nature
172 rdf:type schema:Periodical
173 sg:person.01175663337.67 schema:affiliation grid-institutes:grid.258533.a
174 schema:familyName Levine
175 schema:givenName Michael P.
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175663337.67
177 rdf:type schema:Person
178 sg:person.012337636530.60 schema:affiliation grid-institutes:grid.412789.1
179 schema:familyName Faris
180 schema:givenName Mo’ez Al-Islam
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012337636530.60
182 rdf:type schema:Person
183 sg:person.01323615773.88 schema:affiliation grid-institutes:grid.415725.0
184 schema:familyName Saif
185 schema:givenName Zahraa
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323615773.88
187 rdf:type schema:Person
188 sg:person.01340341213.54 schema:affiliation grid-institutes:grid.411424.6
189 schema:familyName Jahrami
190 schema:givenName Haitham
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340341213.54
192 rdf:type schema:Person
193 sg:pub.10.1007/s11920-012-0282-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1017679913
194 https://doi.org/10.1007/s11920-012-0282-y
195 rdf:type schema:CreativeWork
196 sg:pub.10.1007/s40519-016-0283-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037171590
197 https://doi.org/10.1007/s40519-016-0283-7
198 rdf:type schema:CreativeWork
199 sg:pub.10.1007/s40519-018-0507-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103520985
200 https://doi.org/10.1007/s40519-018-0507-0
201 rdf:type schema:CreativeWork
202 sg:pub.10.1007/s40519-018-0516-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1104131355
203 https://doi.org/10.1007/s40519-018-0516-z
204 rdf:type schema:CreativeWork
205 sg:pub.10.1038/sj.ijo.0802033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048425094
206 https://doi.org/10.1038/sj.ijo.0802033
207 rdf:type schema:CreativeWork
208 sg:pub.10.1176/appi.ap.12010003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024504514
209 https://doi.org/10.1176/appi.ap.12010003
210 rdf:type schema:CreativeWork
211 sg:pub.10.1186/1471-2458-10-314 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022263450
212 https://doi.org/10.1186/1471-2458-10-314
213 rdf:type schema:CreativeWork
214 sg:pub.10.1186/1471-2458-14-524 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028453914
215 https://doi.org/10.1186/1471-2458-14-524
216 rdf:type schema:CreativeWork
217 sg:pub.10.1186/1756-0500-5-84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009223202
218 https://doi.org/10.1186/1756-0500-5-84
219 rdf:type schema:CreativeWork
220 grid-institutes:grid.258533.a schema:alternateName Emeritus Professor, Department of Psychology, Kenyon College, Gambier, OH, USA
221 schema:name Emeritus Professor, Department of Psychology, Kenyon College, Gambier, OH, USA
222 rdf:type schema:Organization
223 grid-institutes:grid.411424.6 schema:alternateName College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain
224 schema:name College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain
225 Ministry of Health, Manama, Bahrain
226 rdf:type schema:Organization
227 grid-institutes:grid.412789.1 schema:alternateName Department of Clinical Nutrition and Dietetics, College of Health Sciences/Sharjah Institute for Medical Research (SIMR), University of Sharjah, Sharjah, United Arab Emirates
228 schema:name Department of Clinical Nutrition and Dietetics, College of Health Sciences/Sharjah Institute for Medical Research (SIMR), University of Sharjah, Sharjah, United Arab Emirates
229 rdf:type schema:Organization
230 grid-institutes:grid.415725.0 schema:alternateName Ministry of Health, Manama, Bahrain
231 schema:name Ministry of Health, Manama, Bahrain
232 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...