Related Experiment Video
Updated: Aug 10, 2026
10:46
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
[Morbidity in children up to 1 year of age and factors affecting it during a longitudinal prospective study]
J Höllge1, M Höllgeová, M Ambrozová
1Klinika dĕtského a dorostového lékarství 1. LF UK, Praha.
Ceskoslovenska Pediatrie
|December 1, 1992
Insights
This study investigated child morbidity in 5154 infants, examining psychosocial, socioeconomic, and ecological factors influencing health outcomes. Findings highlight key determinants of early childhood illness.
Area of Science:
- Pediatrics
- Public Health
- Epidemiology
Context:
- Longitudinal survey of 5154 children under one year of age.
- Investigating child morbidity and associated influencing factors.
- Partial results from a long-term research project.
Purpose:
- To investigate child morbidity in infants under one year.
- To analyze the influence of psychosocial, socioeconomic, and ecological factors on child morbidity.
- To contribute to a comprehensive understanding of early childhood health determinants.
Summary:
- Morbidity was assessed in a large cohort of infants.
- The study explored the impact of psychosocial, socioeconomic, and ecological variables on infant health.
- Identified key factors contributing to illness in early childhood.
Impact:
- Provides insights into factors affecting infant health.
- Informs public health strategies for child well-being.
- Contributes valuable data to pediatric and epidemiological research.
Abstract:
During a longitudinal survey of 5154 children under one year the morbidity was investigated and the influence of some psychosocial, socioeconomic and oecological factors which influence morbidity. These are partial results of a long-term research project.
Related Concept Videos
02:20Longitudinal Research
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
01:18Factors Affecting Illness
When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness, disability,...
For instance, risk factors are connected to illness, disability,...
01:23Pharmacokinetics in Pediatric Patients: Overview and Drug Absorption
Understanding the physiological differences in the pediatric population is crucial for effective pharmacotherapy. Neonates, infants, and children exhibit significant variations in gastric pH, gastric emptying time, intestinal transit time, and biliary function. These variations profoundly affect oral drug absorption, necessitating a nuanced approach to pediatric dosing.Neonates present with a unique physiological profile, having a gastric pH greater than 4 and faster and more irregular gastric...
01:26Longitudinal Studies
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
01:18Introduction To Survival Analysis
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time until a...
The primary goal of survival analysis is to estimate survival time—the time until a...
01:30Development of Human Microbiota
The human microbiota begins developing at birth and undergoes continual change as we age. Infancy marks a critical period of microbial sensitivity, offering a “window of opportunity” during which beneficial microbes help mature the immune system. By age three, children typically develop a more stable and diverse microbial community. Newborns acquire microbes from their immediate environment; vaginal delivery favors maternal vaginal microbes, while cesarean births favor microbes from the skin...