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High Health Status - Women in North Carolina
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North Carolina Value:

59.8%

Percentage of women ages 18-44 who reported their health is very good or excellent

North Carolina Rank:

6

High Health Status - Women in depth:

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High Health Status - Women by State

Percentage of women ages 18-44 who reported their health is very good or excellent

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High Health Status - Women in

Data from CDC, Behavioral Risk Factor Surveillance System, 2021-2022

>= 59.3%

57.2% - 59.2%

55.0% - 57.1%

52.6% - 54.9%

<= 52.5%

• Data Unavailable
Top StatesRankValue
Your StateRankValue
Bottom StatesRankValue
4851.5%
4950.9%

High Health Status - Women

460.3%
560.1%
759.7%
959.4%
1059.3%
1159.2%
1359.0%
1658.5%
1758.3%
2057.2%
2156.7%
2256.3%
2355.9%
2455.7%
2555.6%
2655.5%
2655.5%
2855.4%
2955.3%
3055.0%
3154.8%
3154.8%
3154.8%
3454.0%
3553.9%
3653.0%
3752.9%
3752.9%
3952.8%
4052.6%
4152.2%
4252.1%
4452.0%
4551.9%
4551.9%
4751.7%
4851.5%
4950.9%
Data Unavailable
Source:
  • CDC, Behavioral Risk Factor Surveillance System, 2021-2022

High Health Status - Women Trends

Percentage of women ages 18-44 who reported their health is very good or excellent

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About High Health Status - Women

US Value: 55.1%

Top State(s): South Dakota: 61.4%

Bottom State(s): Mississippi: 49.2%

Definition: Percentage of women ages 18-44 who reported their health is very good or excellent

Data Source and Years(s): CDC, Behavioral Risk Factor Surveillance System, 2021-2022

Suggested Citation: America's Health Rankings analysis of CDC, Behavioral Risk Factor Surveillance System, United Health Foundation, AmericasHealthRankings.org, accessed 2024.

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. This measure is used by the United States Department of Health and Human Services to evaluate large-scale progress toward achieving Healthy People 2030 objectives.

Research shows that those with “poor” self-reported health status have a 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 analysis, the prevalence of women ages 18-44 who report “very good” or “excellent” health is higher among:

  • Women ages 18-24 compared with those ages 25-44.
  • Non-Hispanic white and Asian women compared with Black, Hispanic and American Indian/Alaska Native women.
  • College graduates compared with those who are not college graduates.
  • Women with annual household incomes of $75,000 or more compared with those who have lower incomes. The prevalence of high health status significantly increases with each increase in household income level.
  • Women living in metropolitan areas compared with those in non-metropolitan areas.
  • Women without a disability compared with adults who have difficulty with self-care.
  • Straight women compared with LGBQ+ women.

Government agencies should invest in women’s health research that covers genetic, behavioral and social determinants as a means to advance women’s health. Historically, sex and gender have been overlooked in research studies and clinical trials, which has hindered the identification of sex differences and slowed progress for women’s health research and clinical practice. Along with enhancing quality of life, improving women’s health outcomes can lower health care expenditures and decrease dependence on caretakers. 

More years of schooling are associated with better self-reported health status. This may be partly due to the fact that those with higher educational attainments have fewer chronic conditions. Economic resources and jobs with healthier working conditions and benefits are also associated with better health status.

Chronic illnesses such as heart disease, cancer and diabetes are leading causes of death in the U.S., affecting six in 10 Americans. Many chronic diseases can be prevented 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. 

Mental health is essential to overall wellness. Research has found a strong connection between social support and health outcomes. Poor social support is associated with alcohol use, depression and cardiovascular disease, while strong social support helps individuals cope with stress and stay motivated to achieve their goals. Therefore, policies and interventions aimed at promoting social ties and reducing social isolation could advance population health. The Centers for Disease Control and Prevention offers various community-based approaches to enhance social connections. 

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

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.

Cho, Hyunsoon, Zhuoqiao Wang, K. Robin Yabroff, Benmei Liu, Timothy McNeel, Eric J. Feuer, and Angela B. Mariotto. “Estimating Life Expectancy Adjusted by Self-Rated Health Status in the United States: National Health Interview Survey Linked to the Mortality.” BMC Public Health 22, no. 1 (December 2022): 141. https://doi.org/10.1186/s12889-021-12332-0.

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.

Institute of Medicine, ed. Women’s Health Research: Progress, Pitfalls, and Promise. Washington, D.C.: National Academies Press, 2010. https://www.ncbi.nlm.nih.gov/books/NBK210136/.

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.

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.

Umberson, Debra, and Jennifer Karas Montez. “Social Relationships and Health: A Flashpoint for Health Policy.” Journal of Health and Social Behavior 51, no. 1_suppl (March 2010): S54–66. https://doi.org/10.1177/0022146510383501.

“Women’s Health Innovation Opportunity Map 2023: 50 High-Return Opportunities to Advance Global Women’s Health R&D.” Bill & Melinda Gates Foundation and National Institutes of Health, October 2023. https://orwh.od.nih.gov/sites/orwh/files/docs/womens-health-rnd-opportunity-map_2023_508.pdf.

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