Cross-Sectional Studies

"Cross-Sectional Studies" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus, MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure, which enables searching at various levels of specificity.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time.

Descriptor ID	D003430
MeSH Number(s)	E05.318.760.500.875 N05.715.360.775.175.275 N06.850.520.450.500.875
Concept/Terms	Cross-Sectional Studies Cross-Sectional Studies Cross Sectional Studies Cross-Sectional Study Studies, Cross-Sectional Study, Cross-Sectional Cross Sectional Analysis Analyses, Cross Sectional Cross Sectional Analyses Disease Frequency Surveys Surveys, Disease Frequency Disease Frequency Survey Survey, Disease Frequency Analysis, Cross-Sectional Analyses, Cross-Sectional Analysis, Cross Sectional Cross-Sectional Analyses Cross-Sectional Analysis Cross-Sectional Survey Cross Sectional Survey Cross-Sectional Surveys Survey, Cross-Sectional Surveys, Cross-Sectional Prevalence Studies Prevalence Studies Prevalence Study Studies, Prevalence Study, Prevalence

Below are MeSH descriptors whose meaning is more general than "Cross-Sectional Studies".

Analytical, Diagnostic and Therapeutic Techniques and Equipment [E]
Investigative Techniques [E05]
Epidemiologic Methods [E05.318]
Epidemiologic Study Characteristics [E05.318.760]
Epidemiologic Studies [E05.318.760.500]
Cross-Sectional Studies [E05.318.760.500.875]
Health Care [N]
Health Care Quality, Access, and Evaluation [N05]
Quality of Health Care [N05.715]
Health Care Evaluation Mechanisms [N05.715.360]
Epidemiologic Study Characteristics [N05.715.360.775]
Epidemiologic Studies [N05.715.360.775.175]
Cross-Sectional Studies [N05.715.360.775.175.275]
Environment and Public Health [N06]
Public Health [N06.850]
Epidemiologic Methods [N06.850.520]
Epidemiologic Study Characteristics [N06.850.520.450]
Epidemiologic Studies [N06.850.520.450.500]
Cross-Sectional Studies [N06.850.520.450.500.875]

Below are MeSH descriptors whose meaning is related to "Cross-Sectional Studies".

Below are MeSH descriptors whose meaning is more specific than "Cross-Sectional Studies".

publications

Timeline | Most Recent

This graph shows the total number of publications written about "Cross-Sectional Studies" by people in this website by year, and whether "Cross-Sectional Studies" was a major or minor topic of these publications.

Bar chart showing 1806 publications over 31 distinct years, with a maximum of 122 publications in 2021

To see the data from this visualization as text, click here.

Year	Major Topic	Minor Topic	Total
1995	0	12	12
1996	0	9	9
1997	0	8	8
1998	0	7	7
1999	0	12	12
2000	0	14	14
2001	0	16	16
2002	0	18	18
2003	0	28	28
2004	0	23	23
2005	0	41	41
2006	0	36	36
2007	0	48	48
2008	0	50	50
2009	0	65	65
2010	0	74	74
2011	0	97	97
2012	0	84	84
2013	1	83	84
2014	0	78	78
2015	0	101	101
2016	0	105	105
2017	0	101	101
2018	0	81	81
2019	0	98	98
2020	0	105	105
2021	0	122	122
2022	0	100	100
2023	0	93	93
2024	0	93	93
2025	0	3	3

Below are the most recent publications written about "Cross-Sectional Studies" by people in Profiles.

Jandu S, Carey JL. Exploring Social Media Use Among Medical Students Applying for Residency Training: Cross-Sectional Survey Study. JMIR Med Educ. 2025 Feb 21; 11:e59417.

View in: PubMed
Yang Z, Yao Z, Tasmin M, Vashisht P, Jang WS, Ouyang F, Wang B, McManus D, Berlowitz D, Yu H. Unveiling GPT-4V's hidden challenges behind high accuracy on USMLE questions: Observational Study. J Med Internet Res. 2025 Feb 07; 27:e65146.

View in: PubMed
Ash AS, Alcusky MJ, Ellis RP, Sabatino MJ, Eanet FE, Mick EO. Supporting Primary Care for Medically and Socially Complex Patients in Medicaid Managed Care. JAMA Netw Open. 2025 Feb 03; 8(2):e2458170.

View in: PubMed
Okafor IA, Nnaka JA, Suleiman MO, Erekosima BU, Mbagwu SI, Ibeabuchi KC, Gbadegesin OS, Uzomba GC, Aliyu AI. Beyond the blade: Unveiling the nexus of spirituality and human dissection among medical and allied health students in Nigeria. Anat Sci Educ. 2025 Feb; 18(2):149-159.

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Rochon PA, Li J, O'Mahony D, Onder G, Petrovic M, Sternberg SA, Gurwitz JH, Savage RD, Wu W, Giannakeas V, Kthupi A, Dalton K, McCarthy LM, Mason R, Giancola A, Borhani P, Cherubini A. The impact of age, sex, and gender on polypharmacy and potential prescribing cascades: Lessons from five databases. J Am Geriatr Soc. 2025 Feb; 73(2):520-532.

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Johnston EU, Bhattarai B, Johnson-Agbakwu CE, Coonrod DV. SARS-CoV-2 Prevalence in a Delivering Refugee Population: Refugee Status, Payor Type, Race, and Vaccination Status. J Immigr Minor Health. 2025 Feb; 27(1):104-111.

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Liu J, Lee DN, Stevens EM. Motivations for Tobacco, Cannabis, and Their Co-Use Among U.S. Young Adults Who Engage in Same-Day Co-Use. Subst Use Misuse. 2025; 60(4):515-521.

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Nielsen N, Ballinger Z, Mu?oz Villarreal B, Kovell L, Ito Fukunaga M, Casta?eda-Avila M. Estimating the Impact of Asthma and COPD on Lung Cancer Screening in the USA. Lung. 2024 Nov 27; 203(1):2.

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Gynning BE, Karlsson E, Teoh K, Gustavsson P, Christiansen F, Brulin E. Contextualising the job demands-resources model: a cross-sectional study of the psychosocial work environment across different healthcare professions. Hum Resour Health. 2024 11 19; 22(1):77.

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Stopka TJ, Whitney BM, de Gijsel D, Brook DL, Friedmann PD, Taylor LE, Feinberg J, Young AM, Evon DM, Herink M, Westergaard R, Koepke R, Havens JR, Zule WA, Delaney JA, Pho MT. Medicaid Policy and Hepatitis C Treatment Among Rural People Who Use Drugs. Med Care. 2025 Feb 01; 63(2):77-88.

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