Cargando…
Development of a cost-effective CVD prediction model using lifestyle factors. A cohort study in Pakistan
BACKGROUND: Cardiovascular diseases (CVD) such as hypertension and ischemic heart diseases cause 35 to 40% of deaths every year in Pakistan. Several lifestyle factors such as dietary habits, lack of exercise, mental stress, body habitus (i.e., body mass index, waist), personal habits (smoking, sleep...
Autores principales: | Naheeda, Parveen, Sharifullah, Khan, Ullah, Shah Saeed, Azeem, Abbas Muhammad, Shahzad, Younis, Kinza, Waqar |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Makerere Medical School
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7609114/ https://www.ncbi.nlm.nih.gov/pubmed/33163052 http://dx.doi.org/10.4314/ahs.v20i2.39 |
Ejemplares similares
-
Estimation of poverty bounds for Pakistan using synthetic panel data
por: Shabnam, Nadia, et al.
Publicado: (2023) -
Clinical Characteristics, Comorbidities, and Outcome of Critically Sick Patients With COVID-19 Pneumonia Admitted in the Intensive Care Unit of a Tertiary Care Hospital in Lahore, Pakistan: A Retrospective Cohort Study
por: Khan Chachar, Aijaz Zeeshan, et al.
Publicado: (2022) -
Quantitative Scrutinization of Aflatoxins in Different Spices from Pakistan
por: Naz, Narjis, et al.
Publicado: (2016) -
Illness perceptions in adolescents with a psychiatric diagnosis in Pakistan
por: Imran, Nazish, et al.
Publicado: (2015) -
Lifestyle‐Based Prediction Model for the Prevention of CVD: The Healthy Heart Score
por: Chiuve, Stephanie E., et al.
Publicado: (2014)