Determinants of quality of life among people with asthma: Findings from the Behavioral Risk Factor Surveillance System

被引:55
|
作者
Ford, ES
Mannino, DM
Redd, SC
Moriarty, DG
Mokdad, AH
机构
[1] Ctr Dis Control & Prevent, Natl Ctr Environm Hlth, Div Environm Hazards & Hlth Effects, Atlanta, GA 30341 USA
[2] Natl Ctr Chron Dis Prevent & Hlth Promot, Div Adult Community Hlth, Atlanta, GA USA
关键词
asthma; epidemiological determinants; quality of life;
D O I
10.1081/JAS-120026090
中图分类号
R392 [医学免疫学];
学科分类号
100102 ;
摘要
Asthma is a major contributor to impaired quality of life in the U.S. population. Little is known about population-based determinants of quality of life among people with asthma, however. Using data from the 2000 Behavioral Risk Factor Surveillance System, we examined the associations between selected sociodemographic, behavioral, and other determinants and quality of life among 12,111 participants with current asthma. In multiple logistical regression models, three variables-employment status, smoking status, and physical activity-were significantly associated with all measures of impaired quality of life (poor or fair health, greater than or equal to14 physically unhealthy days, greater than or equal to14 mentally unhealthy days, greater than or equal to14 activity limitation days, or greater than or equal to14 physically or mentally unhealthy days). Education was significantly and inversely related to impaired quality of life for all measures except activity limitation days. Men were less likely than women to report having greater than or equal to14 physically unhealthy days, greater than or equal to14 mentally unhealthy days, or greater than or equal to14 physically or mentally unhealthy days. Compared with whites, Hispanics were more likely to report being in poor or fair health, and African Americans were less likely to report having greater than or equal to14 physically unhealthy days or greater than or equal to14 physically or mentally unhealthy days. In addition, participants with lower incomes were more likely to report impaired quality of life for three measures (general health status, greater than or equal to14 physically unhealthy days, and activity limitation days). The heaviest participants were more likely to be in poor or fair health or to report having more greater than or equal to14 physically unhealthy days, or greater than or equal to14 physically or mentally unhealthy days. Insurance coverage and the time since their last routine checkup were not significantly associated with any of the quality-of-life measures. These results show that three potentially modifiable factors (smoking status, physical activity, body mass index) are associated with quality of life among persons with asthma. Furthermore, among people with asthma, the elderly, women, poorly educated, and low-income participants are especially likely to experience impaired quality of life.
引用
收藏
页码:327 / 336
页数:10
相关论文
共 50 条
  • [21] Cannabis Vaping Among US Adults With Disabilities: Findings From the 2022 Behavioral Risk Factor Surveillance System
    Olufemi, Erinoso
    Olatokunbo, Osibogun
    Wei, Li
    Ben Taleb, Ziyad
    Kalan, Mohammad Ebrahimi
    PUBLIC HEALTH REPORTS, 2024,
  • [22] Self-reported body mass index and health-related quality of life: Findings from the behavioral risk factor surveillance system
    Ford, ES
    Moriarty, DG
    Zack, MM
    Mokdad, AH
    Chapman, DP
    OBESITY RESEARCH, 2001, 9 (01): : 21 - 31
  • [23] Predictors of Subjective Cognitive Decline Among People With Diabetes: Data From the Behavioral Risk Factor Surveillance System
    Huang, Ya-Ching
    Cuevas, Heather E.
    Zuniga, Julie A.
    Garcia, Alexandra A.
    SCIENCE OF DIABETES SELF-MANAGEMENT AND CARE, 2021, 47 (03): : 207 - 215
  • [24] The Association of Health-Related Quality of Life with Severity of Visual Impairment among People Aged 40-64 Years: Findings from the 2006-2010 Behavioral Risk Factor Surveillance System
    Crews, John E.
    Chou, Chiu-Fang
    Zack, Matthew M.
    Zhang, Xinzhi
    Bullard, Kai McKeever
    Morse, Alan R.
    Saaddine, Jinan B.
    OPHTHALMIC EPIDEMIOLOGY, 2016, 23 (03) : 145 - 153
  • [25] Adverse Childhood Experiences and Cardiovascular Risk among Young Adults: Findings from the 2019 Behavioral Risk Factor Surveillance System
    Jackson, Dylan B.
    Testa, Alexander
    Woodward, Krista P.
    Qureshi, Farah
    Ganson, Kyle T.
    Nagata, Jason M.
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (18)
  • [26] Tooth loss and heart disease - Findings from the behavioral risk factor surveillance system
    Okoro, CA
    Balluz, LS
    Eke, PI
    Ajani, UA
    Strine, TW
    Town, M
    Mensah, GA
    Mokdad, AH
    AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2005, 29 (05) : 50 - 56
  • [27] Disparities in Comorbidities in Lung Cancer: Findings From the Behavioral Risk Factor Surveillance System
    Johnson, Lee Ann
    Briley, Patrick
    Bolin, Linda P.
    Kitko, Lisa
    Ellis, Charles
    CANCER NURSING, 2022, 45 (06) : E883 - E889
  • [28] Risk factors for asthma in US adults: Results from the 2000 behavioral risk factor surveillance system
    Gwynn, RC
    JOURNAL OF ASTHMA, 2004, 41 (01) : 91 - 98
  • [29] Incidences of obesity and extreme obesity among US adults: findings from the 2009 Behavioral Risk Factor Surveillance System
    Pan, Liping
    Freedman, David S.
    Gillespie, Cathleen
    Park, Sohyun
    Sherry, Bettylou
    POPULATION HEALTH METRICS, 2011, 9
  • [30] Healthcare Coverage and Utilization Among Caregivers in the United States: Findings From the 2015 Behavioral Risk Factor Surveillance System
    Tingey, Jamie L.
    Lum, Jeremiah
    Morean, Whitney
    Franklin, Rebecca
    Bentley, Jacob A.
    REHABILITATION PSYCHOLOGY, 2020, 65 (01) : 63 - 71