365betÓéÀÖ

Significance of Cross-sectional studies

Cross-sectional studies are research designs that analyze data from a population at a single point in time. These studies are utilized to determine the prevalence of conditions and associated risk factors, assess relationships, and evaluate various health aspects, such as mental health impacts during the pandemic or specific disease prevalence. They provide a snapshot of the current situation and can be included in reviews and meta-analyses, revealing important insights into health behaviors and conditions within specific populations.

Synonyms: Cohort studies, Observational studies, Prevalence studies, Snapshot studies, Correlational studies, Survey studies, Descriptive studies, Epidemiological studies

The below excerpts are indicatory and do represent direct quotations or translations. It is your responsibility to fact check each reference.

The concept of Cross-sectional studies in scientific sources

Science Books

Cross-sectional studies are non-experimental research methods that assess data from a population at a single point in time, enabling the identification of disease prevalence and other health-related characteristics within that population.

Significance in Scientific journals, articles, etc.:

From: The Malaysian Journal of Medical Sciences

(1) These studies have noted that the pathology is more common among females, those of advanced age, contact lens users, those with previous refractive or ocular surface surgeries and smokers.[1] (2) This refers to a type of research design used to examine data collected at a single point in time, often used to evaluate the practices and behaviors of pharmacists in a specific setting.[2] (3) These are studies that were included in the review, and they examine data at a single point in time.[3] (4) These are observational studies that collect data from a population at a single point in time to examine the prevalence of a disease or condition, and were also included in the study.[4] (5) These studies are a type of observational research design that assesses a population at a single point in time, and can be included in meta-analyses.[5]

This section includes scientific research in the field of healthcare, often involving traditional medicine systems such as Ayurveda, Unani, Siddha and Holistic health. It includes papers from scientific journals classified as either original, clinical or experimental research, review articles or case reports.