Livsstilsinformation

Livsstilsinformation refers to data describing an individual's lifestyle-related behaviors and conditions that can influence health outcomes. It encompasses factors such as diet and nutrition, physical activity, sleep patterns, tobacco use, alcohol and other substance use, stress, and social and environmental conditions. In health research and clinical practice, it is collected to assess risk, monitor health, and tailor interventions.

Data are gathered through self-report questionnaires, interviews, clinical assessments, and increasingly through digital tools such as mobile apps and wearable devices. Information may be stored as structured variables or narrative notes and can include psychosocial factors and socioeconomic context, which are recognized as determinants of health.

Applications include risk stratification for chronic diseases, evaluation of public health interventions, and personalized health promotion. It supports epidemiological studies, health behavior research, and implementation science. It is also used to monitor population health trends and guide policy decisions.

Privacy, ethics, and data protection are central concerns because livsstilsinformation is sensitive. Proper informed consent, data anonymization, secure storage, and compliance with data protection laws are required. Limitations include self-report bias, variability in measurement, and challenges with data interoperability across systems.

Related topics include health information, behavioral medicine, and epidemiology.