High Health Status in Maryland

Maryland

Self-reported health status is a measure of how individuals perceive their own health. It is a subjective measure of health-related quality of life that is not limited to specific health conditions or outcomes, but also factors in social support, ability and ease of functioning, and other socioeconomic, environmental and cultural components. The United States Department of Health and Human Services uses this measure to evaluate large-scale progress toward achieving Healthy People 2030 objectives.

Research shows that those with “poor” self-reported health status have mortality risk double that of those with ”excellent” self-reported health status. The association between health status and mortality makes this measure a good predictor of future mortality rates.

According to America’s Health Rankings data, the prevalence of adults who report “very good” or “excellent“ health is higher among:

• Men compared with women.
• Adults ages 18-44 compared with adults ages 65 and older. 
• Asian and white adults compared with Black, Hispanic and American Indian/Alaska Native adults. 
• College graduates compared with those with lower educational attainment. The prevalence of high health status significantly increases with educational attainment.
• Adults with annual household incomes of $75,000 or more compared with those with lower incomes. The prevalence of high health status significantly increases with each increase in household income level.
• Adults living in metropolitan areas compared with those in non-metropolitan areas.
• Adults without a disability compared with adults who have difficulty with self-care.
• Straight adults compared with LGBQ+ adults.
• Adults who have not served compared with adults who have served in the U.S. armed forces.

More years of schooling are associated with better self-reported health status. This may be due in part to the fact that those with higher education have fewer chronic conditions. Access to economic resources as well as jobs with healthier working conditions and benefits are also associated with better health status.

The Community Preventive Services Task Force recommends implementing high-quality, center-based early childhood education programs in order to improve health. These programs promote health equity and narrow the educational achievement gap, especially for children in low-income or racial and ethnic minority communities. 

Chronic diseases such as cancer, diabetes and heart disease are leading causes of death in the U.S., affecting 6 in 10 Americans. Many chronic diseases are preventable by eating well, staying physically active, avoiding tobacco use and excessive drinking and getting regular health screenings. The Office of Disease Prevention and Health Promotion has a webpage on strategies for healthy living that covers nutrition, physical activity, mental health and sexual health.

Health status is an overall health and well-being measure used by the U.S. Department of Health and Human Services to summarize and gauge progress toward achieving Healthy People 2030 objectives.

Benyamini, Yael. “Why Does Self-Rated Health Predict Mortality? An Update on Current Knowledge and a Research Agenda for Psychologists.” Psychology & Health 26, no. 11 (November 2011): 1407–13. https://doi.org/10.1080/08870446.2011.621703.

Borgonovi, Francesca, and Artur Pokropek. “Education and Self-Reported Health: Evidence from 23 Countries on the Role of Years of Schooling, Cognitive Skills and Social Capital.” Edited by Joshua L Rosenbloom. PLOS ONE 11, no. 2 (February 22, 2016): e0149716. https://doi.org/10.1371/journal.pone.0149716.

Cialani, Catia, and Reza Mortazavi. “The Effect of Objective Income and Perceived Economic Resources on Self-Rated Health.” International Journal for Equity in Health 19, no. 1 (December 2020): 196. https://doi.org/10.1186/s12939-020-01304-2.

DeSalvo, Karen B., Nicole Bloser, Kristi Reynolds, Jiang He, and Paul Muntner. “Mortality Prediction with a Single General Self-Rated Health Question.” Journal of General Internal Medicine 21, no. 3 (March 1, 2006): 267. https://doi.org/10.1111/j.1525-1497.2005.00291.x.

Kaplan, Robert M., and Ron D. Hays. “Health-Related Quality of Life Measurement in Public Health.” Annual Review of Public Health 43, no. 1 (April 5, 2022): 355–73. https://doi.org/10.1146/annurev-publhealth-052120-012811.

Lorem, Geir, Sarah Cook, David A. Leon, Nina Emaus, and Henrik Schirmer. “Self-Reported Health as a Predictor of Mortality: A Cohort Study of Its Relation to Other Health Measurements and Observation Time.” Scientific Reports 10 (December 2020): 4886. https://doi.org/10.1038/s41598-020-61603-0.

Lundborg, Petter. “The Health Returns to Schooling—What Can We Learn from Twins?” Journal of Population Economics 26, no. 2 (2013): 673–701. https://doi.org/10.1007/s00148-012-0429-5.

Ramon, Ismaila, Sajal K. Chattopadhyay, W. Steven Barnett, Robert A. Hahn, and The Community Preventive Services Task Force. “Early Childhood Education to Promote Health Equity: A Community Guide Economic Review.” Journal of Public Health Management and Practice 24, no. 1 (2018). https://doi.org/10.1097/PHH.0000000000000557.