Increased chronic disease prevalence among the younger generation: Findings from a population-based data linkage study to inform chronic disease ascertainment among reproductive-aged Australian women.
Melissa L HarrisNicholas EganPeta M ForderDeborah LoxtonPublished in: PloS one (2021)
Given the low concordance between individual data sources, the use of multiple data sources are recommended for chronic disease research focused on women of reproductive age. In order to reduce the increasing chronic disease and multimorbidity trend among women, strategic chronic disease interventions are required to be implemented in childhood and adolescence to ensure the long-term health of not only current but also future generations.
Keyphrases
- polycystic ovary syndrome
- electronic health record
- pregnancy outcomes
- big data
- healthcare
- drinking water
- cervical cancer screening
- breast cancer risk
- public health
- physical activity
- mental health
- risk factors
- insulin resistance
- gene expression
- genome wide
- risk assessment
- data analysis
- machine learning
- artificial intelligence
- metabolic syndrome
- deep learning
- hiv infected
- human immunodeficiency virus
- hiv testing
- men who have sex with men