Overweight Article Swipe
Rajiva Rajiva
,
Dharamjeet Singh Faujdar
,
Saurabh Bobdey
,
Maninder Pal Singh Pardal
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.4103/jfmpc.jfmpc_889_21
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.4103/jfmpc.jfmpc_889_21
Introduction: Obesity may contribute to the initiation, progression, transmission, and deterioration of COVID-19. However, there was lack of such studies carried out by Indian workers. Materials and Methods: Data of cumulative cases of COVID-19 of various countries as on the day the peak incidence were reported in each country during the first and second waves of the pandemic was obtained from the internet. Data on prevalence of overweight were obtained by doing a thorough search of existing literature. The data so collected were tabulated and analyzed using SPSS version 20 to establish a correlation coefficient between overweight and COVID-19. Data pertaining to overweight status and age profile and COVID-19 status as on 28 Feb 2021 was collated as part of routine surveillance from the Health Department in an urban area. The total population for which the above data was obtained was 1107. The data so collected were subject to statistical analysis using SPSS version 20, to find out the odds ratio of overweight as a risk factor for COVID-19 after adjusting for age. Results: Correlation coefficient between overweight and COVID-19 for data pertaining to the first wave and the second wave 0.95 and 0.94, respectively. Odds ratio of overweight as a risk factor for COVID-19 after adjusting for age works out to 2.95 (95% confidence interval 2.30- 3.78). Mean age of the study subjects was 32.61 years (median 32 years, minimum 19 years, maximum 54 years, standard deviation 6.62). Limitations: The limitation of the present study is that the workers could only obtain retrospective data, carry out a case-control study and calculate odd ratio for overweight as a risk factor for COVID-19.
Related Topics
Concepts
Overweight
Medicine
Odds ratio
Confidence interval
Obesity
Population
Coronavirus disease 2019 (COVID-19)
Demography
Incidence (geometry)
Environmental health
Internal medicine
Disease
Infectious disease (medical specialty)
Physics
Sociology
Optics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.4103/jfmpc.jfmpc_889_21
- OA Status
- gold
- Cited By
- 1
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4206290108
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4206290108Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.4103/jfmpc.jfmpc_889_21Digital Object Identifier
- Title
-
OverweightWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-11-01Full publication date if available
- Authors
-
Rajiva Rajiva, Dharamjeet Singh Faujdar, Saurabh Bobdey, Maninder Pal Singh PardalList of authors in order
- Landing page
-
https://doi.org/10.4103/jfmpc.jfmpc_889_21Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.4103/jfmpc.jfmpc_889_21Direct OA link when available
- Concepts
-
Overweight, Medicine, Odds ratio, Confidence interval, Obesity, Population, Coronavirus disease 2019 (COVID-19), Demography, Incidence (geometry), Environmental health, Internal medicine, Disease, Infectious disease (medical specialty), Physics, Sociology, OpticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1Per-year citation counts (last 5 years)
- References (count)
-
26Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4206290108 |
|---|---|
| doi | https://doi.org/10.4103/jfmpc.jfmpc_889_21 |
| ids.doi | https://doi.org/10.4103/jfmpc.jfmpc_889_21 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/35136773 |
| ids.openalex | https://openalex.org/W4206290108 |
| fwci | 0.0731437 |
| type | article |
| title | Overweight |
| biblio.issue | 11 |
| biblio.volume | 10 |
| biblio.last_page | 4101 |
| biblio.first_page | 4096 |
| topics[0].id | https://openalex.org/T10041 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.9965000152587891 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2725 |
| topics[0].subfield.display_name | Infectious Diseases |
| topics[0].display_name | COVID-19 Clinical Research Studies |
| topics[1].id | https://openalex.org/T11368 |
| topics[1].field.id | https://openalex.org/fields/27 |
| topics[1].field.display_name | Medicine |
| topics[1].score | 0.9318000078201294 |
| topics[1].domain.id | https://openalex.org/domains/4 |
| topics[1].domain.display_name | Health Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2728 |
| topics[1].subfield.display_name | Neurology |
| topics[1].display_name | Long-Term Effects of COVID-19 |
| topics[2].id | https://openalex.org/T10410 |
| topics[2].field.id | https://openalex.org/fields/26 |
| topics[2].field.display_name | Mathematics |
| topics[2].score | 0.9253000020980835 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2611 |
| topics[2].subfield.display_name | Modeling and Simulation |
| topics[2].display_name | COVID-19 epidemiological studies |
| is_xpac | False |
| apc_list.value | 450 |
| apc_list.currency | USD |
| apc_list.value_usd | 450 |
| apc_paid.value | 450 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 450 |
| concepts[0].id | https://openalex.org/C2780586474 |
| concepts[0].level | 3 |
| concepts[0].score | 0.9353947639465332 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q332428 |
| concepts[0].display_name | Overweight |
| concepts[1].id | https://openalex.org/C71924100 |
| concepts[1].level | 0 |
| concepts[1].score | 0.8843724727630615 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[1].display_name | Medicine |
| concepts[2].id | https://openalex.org/C156957248 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6703101396560669 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1862216 |
| concepts[2].display_name | Odds ratio |
| concepts[3].id | https://openalex.org/C44249647 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6586405038833618 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q208498 |
| concepts[3].display_name | Confidence interval |
| concepts[4].id | https://openalex.org/C511355011 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5380074381828308 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q12174 |
| concepts[4].display_name | Obesity |
| concepts[5].id | https://openalex.org/C2908647359 |
| concepts[5].level | 2 |
| concepts[5].score | 0.504452109336853 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q2625603 |
| concepts[5].display_name | Population |
| concepts[6].id | https://openalex.org/C3008058167 |
| concepts[6].level | 4 |
| concepts[6].score | 0.4815295338630676 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q84263196 |
| concepts[6].display_name | Coronavirus disease 2019 (COVID-19) |
| concepts[7].id | https://openalex.org/C149923435 |
| concepts[7].level | 1 |
| concepts[7].score | 0.47664815187454224 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q37732 |
| concepts[7].display_name | Demography |
| concepts[8].id | https://openalex.org/C61511704 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4459102749824524 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1671857 |
| concepts[8].display_name | Incidence (geometry) |
| concepts[9].id | https://openalex.org/C99454951 |
| concepts[9].level | 1 |
| concepts[9].score | 0.23552143573760986 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q932068 |
| concepts[9].display_name | Environmental health |
| concepts[10].id | https://openalex.org/C126322002 |
| concepts[10].level | 1 |
| concepts[10].score | 0.12788909673690796 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[10].display_name | Internal medicine |
| concepts[11].id | https://openalex.org/C2779134260 |
| concepts[11].level | 2 |
| concepts[11].score | 0.09775498509407043 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q12136 |
| concepts[11].display_name | Disease |
| concepts[12].id | https://openalex.org/C524204448 |
| concepts[12].level | 3 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q788926 |
| concepts[12].display_name | Infectious disease (medical specialty) |
| concepts[13].id | https://openalex.org/C121332964 |
| concepts[13].level | 0 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[13].display_name | Physics |
| concepts[14].id | https://openalex.org/C144024400 |
| concepts[14].level | 0 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q21201 |
| concepts[14].display_name | Sociology |
| concepts[15].id | https://openalex.org/C120665830 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q14620 |
| concepts[15].display_name | Optics |
| keywords[0].id | https://openalex.org/keywords/overweight |
| keywords[0].score | 0.9353947639465332 |
| keywords[0].display_name | Overweight |
| keywords[1].id | https://openalex.org/keywords/medicine |
| keywords[1].score | 0.8843724727630615 |
| keywords[1].display_name | Medicine |
| keywords[2].id | https://openalex.org/keywords/odds-ratio |
| keywords[2].score | 0.6703101396560669 |
| keywords[2].display_name | Odds ratio |
| keywords[3].id | https://openalex.org/keywords/confidence-interval |
| keywords[3].score | 0.6586405038833618 |
| keywords[3].display_name | Confidence interval |
| keywords[4].id | https://openalex.org/keywords/obesity |
| keywords[4].score | 0.5380074381828308 |
| keywords[4].display_name | Obesity |
| keywords[5].id | https://openalex.org/keywords/population |
| keywords[5].score | 0.504452109336853 |
| keywords[5].display_name | Population |
| keywords[6].id | https://openalex.org/keywords/coronavirus-disease-2019 |
| keywords[6].score | 0.4815295338630676 |
| keywords[6].display_name | Coronavirus disease 2019 (COVID-19) |
| keywords[7].id | https://openalex.org/keywords/demography |
| keywords[7].score | 0.47664815187454224 |
| keywords[7].display_name | Demography |
| keywords[8].id | https://openalex.org/keywords/incidence |
| keywords[8].score | 0.4459102749824524 |
| keywords[8].display_name | Incidence (geometry) |
| keywords[9].id | https://openalex.org/keywords/environmental-health |
| keywords[9].score | 0.23552143573760986 |
| keywords[9].display_name | Environmental health |
| keywords[10].id | https://openalex.org/keywords/internal-medicine |
| keywords[10].score | 0.12788909673690796 |
| keywords[10].display_name | Internal medicine |
| keywords[11].id | https://openalex.org/keywords/disease |
| keywords[11].score | 0.09775498509407043 |
| keywords[11].display_name | Disease |
| language | en |
| locations[0].id | doi:10.4103/jfmpc.jfmpc_889_21 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S2764801637 |
| locations[0].source.issn | 2249-4863, 2278-7135 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2249-4863 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | Journal of Family Medicine and Primary Care |
| locations[0].source.host_organization | https://openalex.org/P4310320448 |
| locations[0].source.host_organization_name | Medknow |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310320448, https://openalex.org/P4310318547 |
| locations[0].source.host_organization_lineage_names | Medknow, Wolters Kluwer |
| locations[0].license | cc-by-nc-sa |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc-sa |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Journal of Family Medicine and Primary Care |
| locations[0].landing_page_url | https://doi.org/10.4103/jfmpc.jfmpc_889_21 |
| locations[1].id | pmid:35136773 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | Journal of family medicine and primary care |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/35136773 |
| locations[2].id | pmh:oai:doaj.org/article:e8092bbcaa184ebea251d7dd7b60a1a5 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S4306401280 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[2].source.host_organization | |
| locations[2].source.host_organization_name | |
| locations[2].license | cc-by-sa |
| locations[2].pdf_url | |
| locations[2].version | submittedVersion |
| locations[2].raw_type | article |
| locations[2].license_id | https://openalex.org/licenses/cc-by-sa |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | Journal of Family Medicine and Primary Care, Vol 10, Iss 11, Pp 4096-4101 (2021) |
| locations[2].landing_page_url | https://doaj.org/article/e8092bbcaa184ebea251d7dd7b60a1a5 |
| locations[3].id | pmh:oai:pubmedcentral.nih.gov:8797127 |
| locations[3].is_oa | True |
| locations[3].source.id | https://openalex.org/S2764455111 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | PubMed Central |
| locations[3].source.host_organization | https://openalex.org/I1299303238 |
| locations[3].source.host_organization_name | National Institutes of Health |
| locations[3].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[3].license | other-oa |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | Text |
| locations[3].license_id | https://openalex.org/licenses/other-oa |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | J Family Med Prim Care |
| locations[3].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/8797127 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5071098002 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Rajiva Rajiva |
| authorships[0].affiliations[0].raw_affiliation_string | Chief Medical Officer and Consultant (Full Time), THDC India Ltd, Pune, Maharashtra, India |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Rajiva Rajiva |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Chief Medical Officer and Consultant (Full Time), THDC India Ltd, Pune, Maharashtra, India |
| authorships[1].author.id | https://openalex.org/A5088769897 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-2457-2922 |
| authorships[1].author.display_name | Dharamjeet Singh Faujdar |
| authorships[1].countries | IN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I83878805 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Community Medicine, Armed Forces Medical College, Pune, Maharashtra, India |
| authorships[1].institutions[0].id | https://openalex.org/I83878805 |
| authorships[1].institutions[0].ror | https://ror.org/05g6w6j42 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I83878805 |
| authorships[1].institutions[0].country_code | IN |
| authorships[1].institutions[0].display_name | Armed Forces Medical College |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Dharamjeet S. Faujdar |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Community Medicine, Armed Forces Medical College, Pune, Maharashtra, India |
| authorships[2].author.id | https://openalex.org/A5038798911 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-0554-4184 |
| authorships[2].author.display_name | Saurabh Bobdey |
| authorships[2].countries | IN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I83878805 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Community Medicine, Armed Forces Medical College, Pune, Maharashtra, India |
| authorships[2].institutions[0].id | https://openalex.org/I83878805 |
| authorships[2].institutions[0].ror | https://ror.org/05g6w6j42 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I83878805 |
| authorships[2].institutions[0].country_code | IN |
| authorships[2].institutions[0].display_name | Armed Forces Medical College |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Saurabh Bobdey |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Community Medicine, Armed Forces Medical College, Pune, Maharashtra, India |
| authorships[3].author.id | https://openalex.org/A5113979659 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Maninder Pal Singh Pardal |
| authorships[3].countries | IN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I83878805 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Community Medicine, Armed Forces Medical College, Pune, Maharashtra, India |
| authorships[3].institutions[0].id | https://openalex.org/I83878805 |
| authorships[3].institutions[0].ror | https://ror.org/05g6w6j42 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I83878805 |
| authorships[3].institutions[0].country_code | IN |
| authorships[3].institutions[0].display_name | Armed Forces Medical College |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Maninder P. S. Pardal |
| authorships[3].is_corresponding | True |
| authorships[3].raw_affiliation_strings | Department of Community Medicine, Armed Forces Medical College, Pune, Maharashtra, India |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.4103/jfmpc.jfmpc_889_21 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2022-01-26T00:00:00 |
| display_name | Overweight |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10041 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.9965000152587891 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2725 |
| primary_topic.subfield.display_name | Infectious Diseases |
| primary_topic.display_name | COVID-19 Clinical Research Studies |
| related_works | https://openalex.org/W2906156617, https://openalex.org/W2389001773, https://openalex.org/W2181692955, https://openalex.org/W2759571287, https://openalex.org/W2119752015, https://openalex.org/W2147637429, https://openalex.org/W2373621818, https://openalex.org/W2978010786, https://openalex.org/W1974154791, https://openalex.org/W2043777045 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2024 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 4 |
| best_oa_location.id | doi:10.4103/jfmpc.jfmpc_889_21 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S2764801637 |
| best_oa_location.source.issn | 2249-4863, 2278-7135 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2249-4863 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | Journal of Family Medicine and Primary Care |
| best_oa_location.source.host_organization | https://openalex.org/P4310320448 |
| best_oa_location.source.host_organization_name | Medknow |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310320448, https://openalex.org/P4310318547 |
| best_oa_location.source.host_organization_lineage_names | Medknow, Wolters Kluwer |
| best_oa_location.license | cc-by-nc-sa |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-sa |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Journal of Family Medicine and Primary Care |
| best_oa_location.landing_page_url | https://doi.org/10.4103/jfmpc.jfmpc_889_21 |
| primary_location.id | doi:10.4103/jfmpc.jfmpc_889_21 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S2764801637 |
| primary_location.source.issn | 2249-4863, 2278-7135 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2249-4863 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | Journal of Family Medicine and Primary Care |
| primary_location.source.host_organization | https://openalex.org/P4310320448 |
| primary_location.source.host_organization_name | Medknow |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310320448, https://openalex.org/P4310318547 |
| primary_location.source.host_organization_lineage_names | Medknow, Wolters Kluwer |
| primary_location.license | cc-by-nc-sa |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-sa |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Journal of Family Medicine and Primary Care |
| primary_location.landing_page_url | https://doi.org/10.4103/jfmpc.jfmpc_889_21 |
| publication_date | 2021-11-01 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W3036651961, https://openalex.org/W6778766003, https://openalex.org/W3015049708, https://openalex.org/W3025531395, https://openalex.org/W3029548865, https://openalex.org/W3046730374, https://openalex.org/W3025316553, https://openalex.org/W3017412292, https://openalex.org/W3022648578, https://openalex.org/W3040747297, https://openalex.org/W3031773068, https://openalex.org/W3032811052, https://openalex.org/W3037394210, https://openalex.org/W3037173725, https://openalex.org/W3048729071, https://openalex.org/W3046185854, https://openalex.org/W3044595037, https://openalex.org/W3080296106, https://openalex.org/W2106702099, https://openalex.org/W3036798852, https://openalex.org/W3036454425, https://openalex.org/W3048371719, https://openalex.org/W3024105334, https://openalex.org/W3048869410, https://openalex.org/W3047765734, https://openalex.org/W3027295905 |
| referenced_works_count | 26 |
| abstract_inverted_index.a | 72, 92, 164, 200, 257, 267 |
| abstract_inverted_index.19 | 231 |
| abstract_inverted_index.20 | 89 |
| abstract_inverted_index.28 | 112 |
| abstract_inverted_index.32 | 228 |
| abstract_inverted_index.54 | 234 |
| abstract_inverted_index.an | 127 |
| abstract_inverted_index.as | 37, 110, 117, 163, 199, 266 |
| abstract_inverted_index.by | 22, 70 |
| abstract_inverted_index.in | 46, 126 |
| abstract_inverted_index.is | 246 |
| abstract_inverted_index.of | 11, 17, 29, 32, 34, 55, 66, 75, 119, 161, 197, 220, 242 |
| abstract_inverted_index.on | 38, 64, 111 |
| abstract_inverted_index.so | 80, 144 |
| abstract_inverted_index.to | 4, 90, 101, 148, 155, 183, 211 |
| abstract_inverted_index.20, | 154 |
| abstract_inverted_index.Feb | 113 |
| abstract_inverted_index.The | 78, 130, 142, 240 |
| abstract_inverted_index.age | 105, 208, 219 |
| abstract_inverted_index.and | 9, 26, 52, 84, 97, 104, 107, 178, 187, 192, 260 |
| abstract_inverted_index.day | 40 |
| abstract_inverted_index.for | 133, 167, 171, 180, 203, 207, 264, 270 |
| abstract_inverted_index.may | 2 |
| abstract_inverted_index.odd | 262 |
| abstract_inverted_index.out | 21, 157, 210, 256 |
| abstract_inverted_index.the | 5, 39, 41, 50, 56, 61, 123, 135, 158, 184, 188, 221, 243, 248 |
| abstract_inverted_index.was | 15, 58, 115, 138, 140, 224 |
| abstract_inverted_index.(95% | 213 |
| abstract_inverted_index.0.95 | 191 |
| abstract_inverted_index.2.95 | 212 |
| abstract_inverted_index.2021 | 114 |
| abstract_inverted_index.Data | 28, 63, 99 |
| abstract_inverted_index.Mean | 218 |
| abstract_inverted_index.Odds | 195 |
| abstract_inverted_index.SPSS | 87, 152 |
| abstract_inverted_index.age. | 172 |
| abstract_inverted_index.data | 79, 137, 143, 181 |
| abstract_inverted_index.each | 47 |
| abstract_inverted_index.find | 156 |
| abstract_inverted_index.from | 60, 122 |
| abstract_inverted_index.lack | 16 |
| abstract_inverted_index.odds | 159 |
| abstract_inverted_index.only | 251 |
| abstract_inverted_index.part | 118 |
| abstract_inverted_index.peak | 42 |
| abstract_inverted_index.risk | 165, 201, 268 |
| abstract_inverted_index.such | 18 |
| abstract_inverted_index.that | 247 |
| abstract_inverted_index.wave | 186, 190 |
| abstract_inverted_index.were | 44, 68, 82, 146 |
| abstract_inverted_index.0.94, | 193 |
| abstract_inverted_index.1107. | 141 |
| abstract_inverted_index.2.30- | 216 |
| abstract_inverted_index.32.61 | 225 |
| abstract_inverted_index.above | 136 |
| abstract_inverted_index.after | 169, 205 |
| abstract_inverted_index.area. | 129 |
| abstract_inverted_index.carry | 255 |
| abstract_inverted_index.cases | 31 |
| abstract_inverted_index.could | 250 |
| abstract_inverted_index.data, | 254 |
| abstract_inverted_index.doing | 71 |
| abstract_inverted_index.first | 51, 185 |
| abstract_inverted_index.ratio | 160, 196, 263 |
| abstract_inverted_index.study | 222, 245, 259 |
| abstract_inverted_index.there | 14 |
| abstract_inverted_index.total | 131 |
| abstract_inverted_index.urban | 128 |
| abstract_inverted_index.using | 86, 151 |
| abstract_inverted_index.waves | 54 |
| abstract_inverted_index.which | 134 |
| abstract_inverted_index.works | 209 |
| abstract_inverted_index.years | 226 |
| abstract_inverted_index.3.78). | 217 |
| abstract_inverted_index.6.62). | 238 |
| abstract_inverted_index.Health | 124 |
| abstract_inverted_index.Indian | 23 |
| abstract_inverted_index.during | 49 |
| abstract_inverted_index.factor | 166, 202, 269 |
| abstract_inverted_index.obtain | 252 |
| abstract_inverted_index.search | 74 |
| abstract_inverted_index.second | 53, 189 |
| abstract_inverted_index.status | 103, 109 |
| abstract_inverted_index.years, | 229, 232, 235 |
| abstract_inverted_index.(median | 227 |
| abstract_inverted_index.Obesity | 1 |
| abstract_inverted_index.between | 95, 176 |
| abstract_inverted_index.carried | 20 |
| abstract_inverted_index.country | 48 |
| abstract_inverted_index.maximum | 233 |
| abstract_inverted_index.minimum | 230 |
| abstract_inverted_index.present | 244 |
| abstract_inverted_index.profile | 106 |
| abstract_inverted_index.routine | 120 |
| abstract_inverted_index.studies | 19 |
| abstract_inverted_index.subject | 147 |
| abstract_inverted_index.various | 35 |
| abstract_inverted_index.version | 88, 153 |
| abstract_inverted_index.workers | 249 |
| abstract_inverted_index.COVID-19 | 33, 108, 168, 179, 204 |
| abstract_inverted_index.However, | 13 |
| abstract_inverted_index.Methods: | 27 |
| abstract_inverted_index.Results: | 173 |
| abstract_inverted_index.analysis | 150 |
| abstract_inverted_index.analyzed | 85 |
| abstract_inverted_index.collated | 116 |
| abstract_inverted_index.existing | 76 |
| abstract_inverted_index.interval | 215 |
| abstract_inverted_index.obtained | 59, 69, 139 |
| abstract_inverted_index.pandemic | 57 |
| abstract_inverted_index.reported | 45 |
| abstract_inverted_index.standard | 236 |
| abstract_inverted_index.subjects | 223 |
| abstract_inverted_index.thorough | 73 |
| abstract_inverted_index.workers. | 24 |
| abstract_inverted_index.COVID-19. | 12, 98, 271 |
| abstract_inverted_index.Materials | 25 |
| abstract_inverted_index.adjusting | 170, 206 |
| abstract_inverted_index.calculate | 261 |
| abstract_inverted_index.collected | 81, 145 |
| abstract_inverted_index.countries | 36 |
| abstract_inverted_index.deviation | 237 |
| abstract_inverted_index.establish | 91 |
| abstract_inverted_index.incidence | 43 |
| abstract_inverted_index.internet. | 62 |
| abstract_inverted_index.tabulated | 83 |
| abstract_inverted_index.Department | 125 |
| abstract_inverted_index.confidence | 214 |
| abstract_inverted_index.contribute | 3 |
| abstract_inverted_index.cumulative | 30 |
| abstract_inverted_index.limitation | 241 |
| abstract_inverted_index.overweight | 67, 96, 102, 162, 177, 198, 265 |
| abstract_inverted_index.pertaining | 100, 182 |
| abstract_inverted_index.population | 132 |
| abstract_inverted_index.prevalence | 65 |
| abstract_inverted_index.Correlation | 174 |
| abstract_inverted_index.coefficient | 94, 175 |
| abstract_inverted_index.correlation | 93 |
| abstract_inverted_index.initiation, | 6 |
| abstract_inverted_index.literature. | 77 |
| abstract_inverted_index.statistical | 149 |
| abstract_inverted_index.Limitations: | 239 |
| abstract_inverted_index.case-control | 258 |
| abstract_inverted_index.progression, | 7 |
| abstract_inverted_index.surveillance | 121 |
| abstract_inverted_index.Introduction: | 0 |
| abstract_inverted_index.deterioration | 10 |
| abstract_inverted_index.respectively. | 194 |
| abstract_inverted_index.retrospective | 253 |
| abstract_inverted_index.transmission, | 8 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5113979659 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I83878805 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7200000286102295 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.44709784 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |