Skip to main content

Welkom bij THIM Hogeschool voor Fysiotherapie & Bohn Stafleu van Loghum

THIM Hogeschool voor Fysiotherapie heeft ervoor gezorgd dat je Mijn BSL eenvoudig en snel kunt raadplegen. Je kunt je links eenvoudig registreren. Met deze gegevens kun je thuis, of waar ook ter wereld toegang krijgen tot Mijn BSL. Heb je een vraag, neem dan contact op met helpdesk@thim.nl.

Registreer

Om ook buiten de locaties van THIM, thuis bijvoorbeeld, van Mijn BSL gebruik te kunnen maken, moet je jezelf eenmalig registreren. Dit kan alleen vanaf een computer op een van de locaties van THIM.

Eenmaal geregistreerd kun je thuis of waar ook ter wereld onbeperkt toegang krijgen tot Mijn BSL.

Login

Als u al geregistreerd bent, hoeft u alleen maar in te loggen om onbeperkt toegang te krijgen tot Mijn BSL.

Top
Gepubliceerd in:

03-09-2019

Age-specific trends in health-related quality of life among US adults: findings from National Health and Nutrition Examination Survey, 2001–2016

Auteurs: Mary L. Greaney, Steven A. Cohen, Bryan J. Blissmer, Jacob E. Earp, Furong Xu

Gepubliceerd in: Quality of Life Research | Uitgave 12/2019

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

Purpose

Health-related quality of life (HRQoL) is an important indicator of population health, yet no age-specific trend analyses in HRQoL have been conducted with a nationally representative sample since 2004. Therefore, to address this gap, an age-specific trend analysis of HRQoL was conducted using National Health and Nutrition Examination Surveys (NHANES) data.

Methods

NHANES 2001–2016 data (8 cycles) were examined to evaluate trends in HRQoL by age group (young adults: 21–39, middle-aged: 40–64, older adults: 65+). HRQoL was assessed by self-reported health (SRH) and number of physically unhealthy, mentally unhealthy, and inactive days to due to physical or mental health in the past 30 days. Multiple linear or logistic regression analyses explored trends in HRQoL by age group, adjusting for demographics over time.

Results

Analysis revealed increasing fair/poor SRH over time for the entire sample (β = 0.34, 95% CI 0.08, 0.60, p = 0.011). However, age-specific analysis identified a bi-annual increase in fair/poor SRH only among young adults (β = 0.49, 95% CI 0.22, 0.76, p < 0.001) and a decrease among older adults (β = − 0.60, 95% CI − 1.14, − 0.06, p = 0.03). Closer inspection revealed increasing fair/poor SRH increased among young women (β = 0.52, 95% CI 0.11, 0.93, p = 0.013) and young men (β = 0.46, 95% CI 0.04, 0.88, p = 0.03) but decreased among older women (β = − 0.81, 95% CI − 1.59, − 0.03, p = 0.042) over time. Analyses also determined that there was a trend for a decreasing number of physically unhealthy days among young adults (p < 0.001), although no trends were observed for the other HRQoL items.

Conclusions

Although there was a significant trend over time for increasing fair/poor SRH when considering the entire sample, this trend was not consistent between age groups or sexes. Given increasing fair/poor SRH among young adults, there is a need to understand and address factors relating to HRQoL among this age group.
Literatuur
2.
go back to reference DeSalvo, K. B., Fan, V. S., McDonell, M. B., & Fihn, S. D. (2005). Predicting mortality and healthcare utilization with a single question. Health Services Research,40, 1234–1246.CrossRef DeSalvo, K. B., Fan, V. S., McDonell, M. B., & Fihn, S. D. (2005). Predicting mortality and healthcare utilization with a single question. Health Services Research,40, 1234–1246.CrossRef
3.
go back to reference Miilunpalo, S., Vuori, I., Oja, P., Pasanen, M., & Urponen, H. (1997). Self-rated health status as a health measure: The predictive value of self-reported health status on the use of physician services and on mortality in the working-age population. Journal of Clinical Epidemiology,50, 517–528.CrossRef Miilunpalo, S., Vuori, I., Oja, P., Pasanen, M., & Urponen, H. (1997). Self-rated health status as a health measure: The predictive value of self-reported health status on the use of physician services and on mortality in the working-age population. Journal of Clinical Epidemiology,50, 517–528.CrossRef
5.
go back to reference Jia, H., Muennig, P., Lubetkin, E., & Gold, M. (2004). Predicting geographical variations in behavioural risk factors: An analysis of physical and mental healthy days. Journal of Epidemiology and Community Health,58(2), 150–155.CrossRef Jia, H., Muennig, P., Lubetkin, E., & Gold, M. (2004). Predicting geographical variations in behavioural risk factors: An analysis of physical and mental healthy days. Journal of Epidemiology and Community Health,58(2), 150–155.CrossRef
6.
go back to reference Idler, E. L., & Benyamini, Y. (1997). Self-rated health and mortality: A review of twenty-seven community studies. Journal of Health and Social Behavior,28(1), 21–37.CrossRef Idler, E. L., & Benyamini, Y. (1997). Self-rated health and mortality: A review of twenty-seven community studies. Journal of Health and Social Behavior,28(1), 21–37.CrossRef
7.
go back to reference Zahran, H. S., Kobau, R., Moriarty, D. G., Zack, M. M., Holt, J., & Donehoo, R. (2005). Health-related quality of life surveillance–United States, 1993–2002. MMWR Surveillance Summary,54(4), 1–35. Zahran, H. S., Kobau, R., Moriarty, D. G., Zack, M. M., Holt, J., & Donehoo, R. (2005). Health-related quality of life surveillance–United States, 1993–2002. MMWR Surveillance Summary,54(4), 1–35.
8.
go back to reference Zack, M. M., Moriarty, D. G., Stroup, D. F., Ford, E. S., & Mokdad, A. H. (2004). Worsening trends in adult health-related quality of life and self-related health—United States, 1993–2001. Public Health Reports,119, 493–505.CrossRef Zack, M. M., Moriarty, D. G., Stroup, D. F., Ford, E. S., & Mokdad, A. H. (2004). Worsening trends in adult health-related quality of life and self-related health—United States, 1993–2001. Public Health Reports,119, 493–505.CrossRef
9.
go back to reference Centers for Disease Control and Prevention. (2004). Self-reported frequent mental distress among adults: United States, 1993–2001. MMWR. Morbidity and Mortality Weekly Report,53, 963–966. Centers for Disease Control and Prevention. (2004). Self-reported frequent mental distress among adults: United States, 1993–2001. MMWR. Morbidity and Mortality Weekly Report,53, 963–966.
11.
go back to reference Zack, M. M. (2013). Health-related quality of life—United States, 2006 and 2010. MMWR Surveillance Summary,62(3), 105–111. Zack, M. M. (2013). Health-related quality of life—United States, 2006 and 2010. MMWR Surveillance Summary,62(3), 105–111.
17.
go back to reference U.S. Census Bureau, Population Division, Fertility & Family Statistics Branch. (2004). Current population survey: Definitions and explanations. Retrieved December 15, 2017 from http://www.census.gov. U.S. Census Bureau, Population Division, Fertility & Family Statistics Branch. (2004). Current population survey: Definitions and explanations. Retrieved December 15, 2017 from http://​www.​census.​gov.
19.
go back to reference Waidmann, T., Bound, J., & Schoenbaum, M. (1995). The illusion of failure: Trends in the self-reported health of the U.S. elderly. Milbank Quarterly,73, 253–287.CrossRef Waidmann, T., Bound, J., & Schoenbaum, M. (1995). The illusion of failure: Trends in the self-reported health of the U.S. elderly. Milbank Quarterly,73, 253–287.CrossRef
20.
go back to reference Juniper, E. F., Guyatt, G. H., Willam, A., & Griffith, L. E. (1994). Determining a minimal important change in a disease-specific Quality of Life Questionnaire. Journal of Clinical Epidemiology,47, 81–87.CrossRef Juniper, E. F., Guyatt, G. H., Willam, A., & Griffith, L. E. (1994). Determining a minimal important change in a disease-specific Quality of Life Questionnaire. Journal of Clinical Epidemiology,47, 81–87.CrossRef
21.
go back to reference Sloan, J., Symonds, T., Vargas-Chanes, D., & Fridley, B. (2003). Practical guidelines for assessing the clinical significance of health-related quality of life changes within clinical trials. Drug Information Journal,37, 23–31.CrossRef Sloan, J., Symonds, T., Vargas-Chanes, D., & Fridley, B. (2003). Practical guidelines for assessing the clinical significance of health-related quality of life changes within clinical trials. Drug Information Journal,37, 23–31.CrossRef
22.
go back to reference Smith, D. W. (2004). The population perspective in quality of life among Americans with diabetes. Quality of Life Research,13(8), 1391–1400.CrossRef Smith, D. W. (2004). The population perspective in quality of life among Americans with diabetes. Quality of Life Research,13(8), 1391–1400.CrossRef
23.
go back to reference Ford, E., & Li, c. (2004). Metabolic syndrome and health-related quality of life among U.S. adults. Annals of Epidemiology,18(3), 165–171.CrossRef Ford, E., & Li, c. (2004). Metabolic syndrome and health-related quality of life among U.S. adults. Annals of Epidemiology,18(3), 165–171.CrossRef
24.
go back to reference Bown, D. W., Pleasants, R., Ohar, J. A., et al. (2010). Health-related quality of life and chronic obstructive pulmonary disease in North Carolina. North American Journal of Medical Sciences,2, 60–65. Bown, D. W., Pleasants, R., Ohar, J. A., et al. (2010). Health-related quality of life and chronic obstructive pulmonary disease in North Carolina. North American Journal of Medical Sciences,2, 60–65.
25.
go back to reference Hart, P. D. (2016). Meeting recommended levels of physical activity and health-related quality of life in rural adults. Journal of Lifestyle Medicine,6, 1–6.CrossRef Hart, P. D. (2016). Meeting recommended levels of physical activity and health-related quality of life in rural adults. Journal of Lifestyle Medicine,6, 1–6.CrossRef
26.
go back to reference Dankel, S. J., Loenneke, J. P., & Loprinzi, P. D. (2016). The WATCH (weight activity and time contributes to health) paradigm and quality of life: The impact of overweight/obesity duration on the association between physical activity and health-related quality of life. International Journal of Clinical Practice,70(5), 409–415.CrossRef Dankel, S. J., Loenneke, J. P., & Loprinzi, P. D. (2016). The WATCH (weight activity and time contributes to health) paradigm and quality of life: The impact of overweight/obesity duration on the association between physical activity and health-related quality of life. International Journal of Clinical Practice,70(5), 409–415.CrossRef
28.
go back to reference Cislaghi, B., & Cislaghi, C. (2019). Self-rated health as a valid indicator for health-equity analyses: Evidence from the Italian health interview survey. BMC Public Health,19(1), 533.CrossRef Cislaghi, B., & Cislaghi, C. (2019). Self-rated health as a valid indicator for health-equity analyses: Evidence from the Italian health interview survey. BMC Public Health,19(1), 533.CrossRef
Metagegevens
Titel
Age-specific trends in health-related quality of life among US adults: findings from National Health and Nutrition Examination Survey, 2001–2016
Auteurs
Mary L. Greaney
Steven A. Cohen
Bryan J. Blissmer
Jacob E. Earp
Furong Xu
Publicatiedatum
03-09-2019
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 12/2019
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-019-02280-z