IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v13y2016i9p887-d77668.html
   My bibliography  Save this article

Body Pain Intensity and Interference in Adults (45–53 Years Old): A Cross-Sectional Survey in Chongqing, China

Author

Listed:
  • Xianglong Xu

    (School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China
    Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China
    The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing 400016, China)

  • Bing Li

    (School of the Second Clinical, Chongqing Medical University, Chongqing 400016, China)

  • Lingli Liu

    (School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China
    Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China
    The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing 400016, China)

  • Yong Zhao

    (School of Public Health and Management, Chongqing Medical University, Chongqing 400016, China
    Research Center for Medicine and Social Development, Chongqing Medical University, Chongqing 400016, China
    The Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing 400016, China)

Abstract

Culture and national care models matter both in reporting and treatment of pain status. However, most findings on body pain intensity and interference in adults are from Western studies, with little reliable evidence from China. This study aimed to assess body pain intensity and interference and its associations with demographic, socioeconomic characteristics, and health behaviors in adults. A cross-sectional survey was performed to collect data from 1224 adults, who were recruited via multistage stratified random sampling. The SF-36 quality-of-life instrument was used to investigate body pain intensity and interference. Ordinal logistic regression analysis was used in this study. Our results showed that 64.1% of the participants (males: 687; females: 537) reported body pain, and 45.7% of the participants reported body pain interference. Middle-aged respondents who were female, were unmarried/divorced or separated/widowed, had a negative relationship with their family, had poor sleep quality, and were not satisfied with their current living conditions had a higher body pain intensity rating (ordered logistic regression/six-level pain intensity criterion; odds ratios, p < 0.05). Respondents who were unmarried/divorced or separated/widowed, with a low education level, were unemployed, had lower incomes, had a negative relationship with their family, and were not satisfied with their current living conditions had a higher body pain interference rating (ordered logistic regression/five-level pain interference criterion; odds ratios, p < 0.05). In conclusion, an estimated 64.1% of middle-aged adults reported body pain, and 45.7% of middle-aged adults reported body pain interference. These results provide a clue for possible interventions for improving body pain intensity and interference in adults, especially among middle-aged people. These factors should be taken into consideration in the prevention of pain, pain management and treatment planning in order to help relieve the stress of pain among adults.

Suggested Citation

  • Xianglong Xu & Bing Li & Lingli Liu & Yong Zhao, 2016. "Body Pain Intensity and Interference in Adults (45–53 Years Old): A Cross-Sectional Survey in Chongqing, China," IJERPH, MDPI, vol. 13(9), pages 1-12, September.
    • Handle: RePEc:gam:jijerp:v:13:y:2016:i:9:p:887-:d:77668
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/13/9/887/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/13/9/887/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Allison, P. J. & Locker, D. & Feine, J. S., 1997. "Quality of life: A dynamic construct," Social Science & Medicine, Elsevier, vol. 45(2), pages 221-230, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yunshuang Rao & Xianglong Xu & Dengyuan Liu & Cesar Reis & Ian M. Newman & Liqiang Qin & Manoj Sharma & Jun Shen & Yong Zhao, 2018. "Health-Related Quality of Life in Patients with Arthritis: A Cross-Sectional Survey among Middle-Aged Adults in Chongqing, China," IJERPH, MDPI, vol. 15(4), pages 1-18, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Felix N. Fernando & Dennis R. Cooley, 2016. "An Oil Boom’s Effect on Quality of Life (QoL): Lessons from Western North Dakota," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 11(4), pages 1083-1115, December.
    2. Musa Pazhuhan & Saeed Zanganeh Shahraki & Niloofar Kaveerad & Sirio Cividino & Matteo Clemente & Luca Salvati, 2020. "Factors Underlying Life Quality in Urban Contexts: Evidence from an Industrial City (Arak, Iran)," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    3. Gregory, Jane & Gibson, Barry & Robinson, Peter G., 2005. "Variation and change in the meaning of oral health related quality of life: a 'grounded' systems approach," Social Science & Medicine, Elsevier, vol. 60(8), pages 1859-1868, April.
    4. Debby Postulart & Eddy M.M. Adang, 2000. "Response Shift and Adaptation in Chronically III Patients," Medical Decision Making, , vol. 20(2), pages 186-193, April.
    5. Al-Janabi, Hareth & Keeley, Thomas & Mitchell, Paul & Coast, Joanna, 2013. "Can capabilities be self-reported? A think aloud study," Social Science & Medicine, Elsevier, vol. 87(C), pages 116-122.
    6. Yunshuang Rao & Xianglong Xu & Dengyuan Liu & Cesar Reis & Ian M. Newman & Liqiang Qin & Manoj Sharma & Jun Shen & Yong Zhao, 2018. "Health-Related Quality of Life in Patients with Arthritis: A Cross-Sectional Survey among Middle-Aged Adults in Chongqing, China," IJERPH, MDPI, vol. 15(4), pages 1-18, April.
    7. Somarriba Arechavala, Noelia & Pena Trapero, Bernardo, 2009. "La medición de la calidad de vida en Europa, el papel de la información subjetiva /The Measurement of the Quality of Life in Europe, the Weight of the Subjective Information," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 27, pages 373-398, Agosto.
    8. Ziao Hu & Pengfei Chen & Jiafu Liu, 2023. "Effect of Positive Emotions on the Quality of Life of Chinese College Students," International Journal of Higher Education, Sciedu Press, vol. 12(5), pages 1-42, October.
    9. Aistė Kavaliauskienė & Antanas Šidlauskas & Apolinaras Zaborskis, 2018. "Relationship Between Orthodontic Treatment Need and Oral Health-Related Quality of Life among 11–18-Year-Old Adolescents in Lithuania," IJERPH, MDPI, vol. 15(5), pages 1-17, May.
    10. Anne-Marie Etienne & Gilles Dupuis & Elisabeth Spitz & Fabienne Lemetayer & Pierre Missotten, 2011. "The Gap Concept as a Quality of Life Measure: Validation Study of the Child Quality of Life Systemic Inventory," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 100(2), pages 241-257, January.
    11. Greenhalgh, Joanne & Long, Andrew F & Flynn, Rob, 2005. "The use of patient reported outcome measures in routine clinical practice: lack of impact or lack of theory?," Social Science & Medicine, Elsevier, vol. 60(4), pages 833-843, February.
    12. Jessica De Maeyer & Wouter Vanderplasschen & Eric Broekaert, 2009. "Exploratory Study on Drug Users’ Perspectives on Quality of Life: More than Health-Related Quality of Life?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 90(1), pages 107-126, January.
    13. Paul Dolan & Henry Lee & Tessa Peasgood, 2012. "Losing Sight of the Wood for the Trees," PharmacoEconomics, Springer, vol. 30(11), pages 1035-1049, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:13:y:2016:i:9:p:887-:d:77668. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.