Evaluation of the prevalence of musculoskeletal symptoms, presumptive diagnosis, medical care use, and sick leave among female school meal service ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Young Hoon Moon, Young Joon Yang, Sang Yoon Do, Jae Yoon Kim, Chul Gab Lee, Hong Jae Chae, Soo Hyeon Kim, Han Soo Song

ABSTRACT

Background: Most of the school meal service workers in Korea are middle-aged individuals. They have high workload, which increases their incidence of musculoskeletal disorders. This study aimed to evaluate the prevalence and risk factors of subjective musculoskeletal symptoms, presumptive diagnosis, medical care use, and sick leave among female school meal workers. Methods: We analyzed the results of musculoskeletal disease screening of 1581 female school meal workers. The screening consisted of self-administered questionnaire, history taking by occupational physicians, and physical examination. The prevalence of subjective musculoskeletal symptoms, presumptive diagnosis after initial examination by occupational physicians, use of medical care for more than 7 days, and sick leave due to musculoskeletal diseases during the past year were evaluated in this study. The relative risk of four outcome indicators of musculoskeletal disorders was compared with respect to potential factors, such as age, subjective physical loading, present illness, injury experience, and type of school, using log-binomial regression. Results: The prevalence of subjective musculoskeletal symptom was 79.6%; presumptive diagnosis, 47.6%; hospital visits over 7 days, 36.4%; and sick leave, 7.3%. The relative risk of musculoskeletal symptoms by age (≥50 years vs < 50 years) was 1.04 (95% confidence interval (CI): 1.00-1.09); presumptive diagnosis of musculoskeletal disease, 1.17 (95% CI: 1.06-1.30); hospital visits over 7 days, 1.26 (95% CI: 0.85-1.85); and sick leave, 1.17 (95% CI: 1.02-1.34). The relative risk of musculoskeletal symptoms due to subjective physical loading (very hard vs low) was 1.45 (95% CI: 1.33-1.58); presumptive diagnosis, 2.92 (95% CI: 2.25); hospital visits over 7 days, 1.91 (95% CI: 1.02-3.59); and sick leave, 2.11 (95% CI: 1.63-2.74). Conclusions: Subjective physical loading was a more important factor in musculoskeletal disorders than the age of female school meal workers. More... »

PAGES

1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40557-019-0281-0

DOI

http://dx.doi.org/10.1186/s40557-019-0281-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111432875

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30675364


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/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Department of Occupational and Environmental Medicine, Chosun University Hospital, College of Medicine, Chosun University, Gwangju, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moon", 
        "givenName": "Young Hoon", 
        "id": "sg:person.013566530643.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013566530643.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Occupational and Environmental Medicine, Chosun University Hospital, College of Medicine, Chosun University, Gwangju, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "Young Joon", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Occupational and Environmental Medicine, Chosun University Hospital, College of Medicine, Chosun University, Gwangju, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Do", 
        "givenName": "Sang Yoon", 
        "id": "sg:person.015050424676.71", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015050424676.71"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Occupational and Environmental Medicine, Chosun University Hospital, College of Medicine, Chosun University, Gwangju, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Jae Yoon", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Occupational and Environmental Medicine, Chosun University Hospital, College of Medicine, Chosun University, Gwangju, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Chul Gab", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Occupational and Environmental Medicine, Donggunsan Hospital, Gunsan, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chae", 
        "givenName": "Hong Jae", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Occupational and Environmental Medicine, KS hospital, Gwangju, South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Soo Hyeon", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Occupational and Environmental Medicine, Chosun University Hospital, College of Medicine, Chosun University, Gwangju, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Song", 
        "givenName": "Han Soo", 
        "id": "sg:person.0637431316.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637431316.01"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.berh.2011.01.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002668423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5807/kjohn.2014.23.4.245", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002862586"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2458-7-171", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006028237", 
          "https://doi.org/10.1186/1471-2458-7-171"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3346/jkms.2016.31.s2.s146", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007861253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2474-12-157", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016352178", 
          "https://doi.org/10.1186/1471-2474-12-157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pmr.2014.01.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016807717"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.berh.2009.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023282690"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/oemed-2011-100453", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053708352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/oemed-2011-100453", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053708352"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5271/sjweh.3285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072738309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12891-017-1870-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093137517", 
          "https://doi.org/10.1186/s12891-017-1870-0"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Background: Most of the school meal service workers in Korea are middle-aged individuals. They have high workload, which increases their incidence of musculoskeletal disorders. This study aimed to evaluate the prevalence and risk factors of subjective musculoskeletal symptoms, presumptive diagnosis, medical care use, and sick leave among female school meal workers.\nMethods: We analyzed the results of musculoskeletal disease screening of 1581 female school meal workers. The screening consisted of self-administered questionnaire, history taking by occupational physicians, and physical examination. The prevalence of subjective musculoskeletal symptoms, presumptive diagnosis after initial examination by occupational physicians, use of medical care for more than 7\u2009days, and sick leave due to musculoskeletal diseases during the past year were evaluated in this study. The relative risk of four outcome indicators of musculoskeletal disorders was compared with respect to potential factors, such as age, subjective physical loading, present illness, injury experience, and type of school, using log-binomial regression.\nResults: The prevalence of subjective musculoskeletal symptom was 79.6%; presumptive diagnosis, 47.6%; hospital visits over 7\u2009days, 36.4%; and sick leave, 7.3%. The relative risk of musculoskeletal symptoms by age (\u226550\u2009years vs <\u200950\u2009years) was 1.04 (95% confidence interval (CI): 1.00-1.09); presumptive diagnosis of musculoskeletal disease, 1.17 (95% CI: 1.06-1.30); hospital visits over 7\u2009days, 1.26 (95% CI: 0.85-1.85); and sick leave, 1.17 (95% CI: 1.02-1.34). The relative risk of musculoskeletal symptoms due to subjective physical loading (very hard vs low) was 1.45 (95% CI: 1.33-1.58); presumptive diagnosis, 2.92 (95% CI: 2.25); hospital visits over 7\u2009days, 1.91 (95% CI: 1.02-3.59); and sick leave, 2.11 (95% CI: 1.63-2.74).\nConclusions: Subjective physical loading was a more important factor in musculoskeletal disorders than the age of female school meal workers.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s40557-019-0281-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1048483", 
        "issn": [
          "2288-3665", 
          "2052-4374"
        ], 
        "name": "Annals of Occupational and Environmental Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "31"
      }
    ], 
    "name": "Evaluation of the prevalence of musculoskeletal symptoms, presumptive diagnosis, medical care use, and sick leave among female school meal service workers", 
    "pagination": "1", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "4af9ab403abcfec871e0956b17966f7220f407cdf80831889ccc8a2239de8148"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30675364"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101609244"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s40557-019-0281-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111432875"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s40557-019-0281-0", 
      "https://app.dimensions.ai/details/publication/pub.1111432875"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:56", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000325_0000000325/records_100797_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs40557-019-0281-0"
  }
]
 

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.10.1186/s40557-019-0281-0'

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/s40557-019-0281-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40557-019-0281-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40557-019-0281-0'


 

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

159 TRIPLES      21 PREDICATES      39 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s40557-019-0281-0 schema:about anzsrc-for:11
2 anzsrc-for:1117
3 schema:author N95a1ab7c65c143e9a3cd7439feeb8a39
4 schema:citation sg:pub.10.1186/1471-2458-7-171
5 sg:pub.10.1186/1471-2474-12-157
6 sg:pub.10.1186/s12891-017-1870-0
7 https://doi.org/10.1016/j.berh.2009.08.006
8 https://doi.org/10.1016/j.berh.2011.01.002
9 https://doi.org/10.1016/j.pmr.2014.01.011
10 https://doi.org/10.1136/oemed-2011-100453
11 https://doi.org/10.3346/jkms.2016.31.s2.s146
12 https://doi.org/10.5271/sjweh.3285
13 https://doi.org/10.5807/kjohn.2014.23.4.245
14 schema:datePublished 2019-12
15 schema:datePublishedReg 2019-12-01
16 schema:description Background: Most of the school meal service workers in Korea are middle-aged individuals. They have high workload, which increases their incidence of musculoskeletal disorders. This study aimed to evaluate the prevalence and risk factors of subjective musculoskeletal symptoms, presumptive diagnosis, medical care use, and sick leave among female school meal workers. Methods: We analyzed the results of musculoskeletal disease screening of 1581 female school meal workers. The screening consisted of self-administered questionnaire, history taking by occupational physicians, and physical examination. The prevalence of subjective musculoskeletal symptoms, presumptive diagnosis after initial examination by occupational physicians, use of medical care for more than 7 days, and sick leave due to musculoskeletal diseases during the past year were evaluated in this study. The relative risk of four outcome indicators of musculoskeletal disorders was compared with respect to potential factors, such as age, subjective physical loading, present illness, injury experience, and type of school, using log-binomial regression. Results: The prevalence of subjective musculoskeletal symptom was 79.6%; presumptive diagnosis, 47.6%; hospital visits over 7 days, 36.4%; and sick leave, 7.3%. The relative risk of musculoskeletal symptoms by age (≥50 years vs < 50 years) was 1.04 (95% confidence interval (CI): 1.00-1.09); presumptive diagnosis of musculoskeletal disease, 1.17 (95% CI: 1.06-1.30); hospital visits over 7 days, 1.26 (95% CI: 0.85-1.85); and sick leave, 1.17 (95% CI: 1.02-1.34). The relative risk of musculoskeletal symptoms due to subjective physical loading (very hard vs low) was 1.45 (95% CI: 1.33-1.58); presumptive diagnosis, 2.92 (95% CI: 2.25); hospital visits over 7 days, 1.91 (95% CI: 1.02-3.59); and sick leave, 2.11 (95% CI: 1.63-2.74). Conclusions: Subjective physical loading was a more important factor in musculoskeletal disorders than the age of female school meal workers.
17 schema:genre research_article
18 schema:inLanguage en
19 schema:isAccessibleForFree true
20 schema:isPartOf N15c26ac07d5948a6836416e9434da94c
21 Na8db29c6b37348259fb2dee00d596d44
22 sg:journal.1048483
23 schema:name Evaluation of the prevalence of musculoskeletal symptoms, presumptive diagnosis, medical care use, and sick leave among female school meal service workers
24 schema:pagination 1
25 schema:productId N022e33b7e6ea4d889b1f28db151d0978
26 N7d042bbec2234a99aaf5dffe61513d77
27 Nb4a184a1be5747aea8f40df59030f9b1
28 Neb4639143aa848a789788e2bc25193b6
29 Neccde9ce0c4c41dab3058b01006a4680
30 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111432875
31 https://doi.org/10.1186/s40557-019-0281-0
32 schema:sdDatePublished 2019-04-11T08:56
33 schema:sdLicense https://scigraph.springernature.com/explorer/license/
34 schema:sdPublisher Nf2aa94ea540a4e3793c1e3f2128b63fa
35 schema:url https://link.springer.com/10.1186%2Fs40557-019-0281-0
36 sgo:license sg:explorer/license/
37 sgo:sdDataset articles
38 rdf:type schema:ScholarlyArticle
39 N022e33b7e6ea4d889b1f28db151d0978 schema:name pubmed_id
40 schema:value 30675364
41 rdf:type schema:PropertyValue
42 N0ce11d25e0334dc99f0aa1a8939cb1d0 rdf:first N20872efebacc4d9eaca3a7e2257cb572
43 rdf:rest N222e1cbc3d2c43359ceb27b5c14deae9
44 N0f47262cd94649c3a75bc5976df05d78 schema:name Department of Occupational and Environmental Medicine, Chosun University Hospital, College of Medicine, Chosun University, Gwangju, Republic of Korea
45 rdf:type schema:Organization
46 N15c26ac07d5948a6836416e9434da94c schema:issueNumber 1
47 rdf:type schema:PublicationIssue
48 N1dc4a4decb1a45209c796f8dd47496ed rdf:first N207788b70b994a70ae86259096bcef6b
49 rdf:rest N0ce11d25e0334dc99f0aa1a8939cb1d0
50 N1fda6f632fb54411bf89a1d3c17716d3 schema:name Department of Occupational and Environmental Medicine, Chosun University Hospital, College of Medicine, Chosun University, Gwangju, Republic of Korea
51 rdf:type schema:Organization
52 N207788b70b994a70ae86259096bcef6b schema:affiliation Nd32759e5d6ea44ae8e35ed0c5ded01ce
53 schema:familyName Chae
54 schema:givenName Hong Jae
55 rdf:type schema:Person
56 N20872efebacc4d9eaca3a7e2257cb572 schema:affiliation Nc996b85d738d476ab2d18a856d37dca3
57 schema:familyName Kim
58 schema:givenName Soo Hyeon
59 rdf:type schema:Person
60 N222e1cbc3d2c43359ceb27b5c14deae9 rdf:first sg:person.0637431316.01
61 rdf:rest rdf:nil
62 N2fdf1de1eae34c258d1c4faf16641b50 schema:affiliation N1fda6f632fb54411bf89a1d3c17716d3
63 schema:familyName Kim
64 schema:givenName Jae Yoon
65 rdf:type schema:Person
66 N3318b77dc92e45cfbd6dbead4d08f821 schema:affiliation Nd212c4d08a2344bb8d09ea4d2bd13e6f
67 schema:familyName Lee
68 schema:givenName Chul Gab
69 rdf:type schema:Person
70 N4664441226674a68bd85c944159be025 schema:name Department of Occupational and Environmental Medicine, Chosun University Hospital, College of Medicine, Chosun University, Gwangju, Republic of Korea
71 rdf:type schema:Organization
72 N49db336f24104da1b07c3dcef4a3a83f rdf:first N3318b77dc92e45cfbd6dbead4d08f821
73 rdf:rest N1dc4a4decb1a45209c796f8dd47496ed
74 N504429b56c4f4e97afb6e0a96944658b schema:name Department of Occupational and Environmental Medicine, Chosun University Hospital, College of Medicine, Chosun University, Gwangju, Republic of Korea
75 rdf:type schema:Organization
76 N6d932bb879c84283abfe68d23503af0f rdf:first Nca7c830f7cc147f6a8d9f8692417c1e8
77 rdf:rest Ned05246bf9c94f48b3425333b369efae
78 N7be59abedbf44922a86a497d5405585a schema:name Department of Occupational and Environmental Medicine, Chosun University Hospital, College of Medicine, Chosun University, Gwangju, Republic of Korea
79 rdf:type schema:Organization
80 N7d042bbec2234a99aaf5dffe61513d77 schema:name readcube_id
81 schema:value 4af9ab403abcfec871e0956b17966f7220f407cdf80831889ccc8a2239de8148
82 rdf:type schema:PropertyValue
83 N95a1ab7c65c143e9a3cd7439feeb8a39 rdf:first sg:person.013566530643.03
84 rdf:rest N6d932bb879c84283abfe68d23503af0f
85 Na8db29c6b37348259fb2dee00d596d44 schema:volumeNumber 31
86 rdf:type schema:PublicationVolume
87 Nb1a98d0745da44e1b2c20285550db9dd rdf:first N2fdf1de1eae34c258d1c4faf16641b50
88 rdf:rest N49db336f24104da1b07c3dcef4a3a83f
89 Nb4a184a1be5747aea8f40df59030f9b1 schema:name nlm_unique_id
90 schema:value 101609244
91 rdf:type schema:PropertyValue
92 Nc996b85d738d476ab2d18a856d37dca3 schema:name Department of Occupational and Environmental Medicine, KS hospital, Gwangju, South Korea
93 rdf:type schema:Organization
94 Nca7c830f7cc147f6a8d9f8692417c1e8 schema:affiliation N0f47262cd94649c3a75bc5976df05d78
95 schema:familyName Yang
96 schema:givenName Young Joon
97 rdf:type schema:Person
98 Nd212c4d08a2344bb8d09ea4d2bd13e6f schema:name Department of Occupational and Environmental Medicine, Chosun University Hospital, College of Medicine, Chosun University, Gwangju, Republic of Korea
99 rdf:type schema:Organization
100 Nd32759e5d6ea44ae8e35ed0c5ded01ce schema:name Department of Occupational and Environmental Medicine, Donggunsan Hospital, Gunsan, South Korea
101 rdf:type schema:Organization
102 Neb4639143aa848a789788e2bc25193b6 schema:name doi
103 schema:value 10.1186/s40557-019-0281-0
104 rdf:type schema:PropertyValue
105 Neccde9ce0c4c41dab3058b01006a4680 schema:name dimensions_id
106 schema:value pub.1111432875
107 rdf:type schema:PropertyValue
108 Ned05246bf9c94f48b3425333b369efae rdf:first sg:person.015050424676.71
109 rdf:rest Nb1a98d0745da44e1b2c20285550db9dd
110 Nf2aa94ea540a4e3793c1e3f2128b63fa schema:name Springer Nature - SN SciGraph project
111 rdf:type schema:Organization
112 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
113 schema:name Medical and Health Sciences
114 rdf:type schema:DefinedTerm
115 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
116 schema:name Public Health and Health Services
117 rdf:type schema:DefinedTerm
118 sg:journal.1048483 schema:issn 2052-4374
119 2288-3665
120 schema:name Annals of Occupational and Environmental Medicine
121 rdf:type schema:Periodical
122 sg:person.013566530643.03 schema:affiliation N504429b56c4f4e97afb6e0a96944658b
123 schema:familyName Moon
124 schema:givenName Young Hoon
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013566530643.03
126 rdf:type schema:Person
127 sg:person.015050424676.71 schema:affiliation N4664441226674a68bd85c944159be025
128 schema:familyName Do
129 schema:givenName Sang Yoon
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015050424676.71
131 rdf:type schema:Person
132 sg:person.0637431316.01 schema:affiliation N7be59abedbf44922a86a497d5405585a
133 schema:familyName Song
134 schema:givenName Han Soo
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0637431316.01
136 rdf:type schema:Person
137 sg:pub.10.1186/1471-2458-7-171 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006028237
138 https://doi.org/10.1186/1471-2458-7-171
139 rdf:type schema:CreativeWork
140 sg:pub.10.1186/1471-2474-12-157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016352178
141 https://doi.org/10.1186/1471-2474-12-157
142 rdf:type schema:CreativeWork
143 sg:pub.10.1186/s12891-017-1870-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093137517
144 https://doi.org/10.1186/s12891-017-1870-0
145 rdf:type schema:CreativeWork
146 https://doi.org/10.1016/j.berh.2009.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023282690
147 rdf:type schema:CreativeWork
148 https://doi.org/10.1016/j.berh.2011.01.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002668423
149 rdf:type schema:CreativeWork
150 https://doi.org/10.1016/j.pmr.2014.01.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016807717
151 rdf:type schema:CreativeWork
152 https://doi.org/10.1136/oemed-2011-100453 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053708352
153 rdf:type schema:CreativeWork
154 https://doi.org/10.3346/jkms.2016.31.s2.s146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007861253
155 rdf:type schema:CreativeWork
156 https://doi.org/10.5271/sjweh.3285 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072738309
157 rdf:type schema:CreativeWork
158 https://doi.org/10.5807/kjohn.2014.23.4.245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002862586
159 rdf:type schema:CreativeWork
 




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


...