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Functional limitation trajectories and their determinants among women in the Philippines

Author

Listed:
  • Zachary Zimmer

    (Mount Saint Vincent University)

  • Luoman Bao

    (University of Maryland)

  • Nanette L. Mayol

    (University of San Carlos)

  • Feinian Chen

    (Johns Hopkins University)

  • Tita Lorna L. Perez

    (University of San Carlos)

  • Paulita L. Duazo

    (University of San Carlos)

Abstract

Background: Limited evidence exists regarding how functional limitation patterns of women in developing countries unfold through midlife and into old age, a critical period during which the tendency to develop severe problems is fomented. Objective: Functional limitation prevalence and patterns through midlife into early old age, and their determinants, are examined among women in the Philippines. Methods: Data from the Cebu Longitudinal Health and Nutrition Study are monitored from 1994 to 2015. Patterns are categorized using group-based trajectory modeling. Predictors of group membership are modeled. Results: About half responding to all survey waves report functional limitation at least once over the study period. Movements in and out of functional limitation states are common. Between age 30 and 70, trajectories are categorized into four groups: 1) robust, 2) late onset, 3) early onset, and 4) recovery. Being married, living in a nuclear household, higher successful birth ratio, and higher education associate with favorable trajectories. More births, higher age at first birth, wealth, and urbanicity associate with less favorable trajectories. Conclusions: Many possible routes into and out of functional limitation exist. The manifold patterns can be grouped into common trajectories. A number of earlier life characteristics associate with these trajectories. Contribution: This is the first analysis to ascertain common functional limitation trajectories and earlier life predictors among women as they age in a high fertility developing country setting. Recognizing these is an important step toward understanding global health given aging of the population and the likelihood of functional problems developing in women as they move into old age.

Suggested Citation

  • Zachary Zimmer & Luoman Bao & Nanette L. Mayol & Feinian Chen & Tita Lorna L. Perez & Paulita L. Duazo, 2017. "Functional limitation trajectories and their determinants among women in the Philippines," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 36(30), pages 863-892.
    • Handle: RePEc:dem:demres:v:36:y:2017:i:30
    DOI: 10.4054/DemRes.2017.36.30
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    as
    1. Linda Adair & Barry Popkin & David Guilkey, 1993. "The duration of breast-feeding: How is it affected by biological, sociodemographic, health sector, and food industry factors?," Demography, Springer;Population Association of America (PAA), vol. 30(1), pages 63-80, February.
    2. Verbrugge, Lois M. & Jette, Alan M., 1994. "The disablement process," Social Science & Medicine, Elsevier, vol. 38(1), pages 1-14, January.
    3. Ye Luo & Linda J. Waite, 2005. "The Impact of Childhood and Adult SES on Physical, Mental, and Cognitive Well-Being in Later Life," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 60(2), pages 93-101.
    4. Du, Shufa & Mroz, Tom A. & Zhai, Fengying & Popkin, Barry M., 2004. "Rapid income growth adversely affects diet quality in China--particularly for the poor!," Social Science & Medicine, Elsevier, vol. 59(7), pages 1505-1515, October.
    5. Christine Himes, 2000. "Obesity, disease, and functional limitation in later life," Demography, Springer;Population Association of America (PAA), vol. 37(1), pages 73-82, February.
    6. Amelia M. Haviland & Bobby L. Jones & Daniel S. Nagin, 2011. "Group-based Trajectory Modeling Extended to Account for Nonrandom Participant Attrition," Sociological Methods & Research, , vol. 40(2), pages 367-390, May.
    7. Jylhä, Marja, 2009. "What is self-rated health and why does it predict mortality? Towards a unified conceptual model," Social Science & Medicine, Elsevier, vol. 69(3), pages 307-316, August.
    8. Grundy, Emily & Tomassini, Cecilia, 2005. "Fertility history and health in later life: a record linkage study in England and Wales," Social Science & Medicine, Elsevier, vol. 61(1), pages 217-228, July.
    9. Smith, Ken R. & Mineau, Geraldine P. & Garibotti, Gilda & Kerber, Richard, 2009. "Effects of childhood and middle-adulthood family conditions on later-life mortality: Evidence from the Utah Population Database, 1850-2002," Social Science & Medicine, Elsevier, vol. 68(9), pages 1649-1658, May.
    10. Kington, R. & Lillard, L. & Rogowski, J., 1997. "Reproductive history, socioeconomic status, and self-reported health status of women aged 50 years or older," American Journal of Public Health, American Public Health Association, vol. 87(1), pages 33-37.
    11. Wen, Ming & Hawkley, Louise C. & Cacioppo, John T., 2006. "Objective and perceived neighborhood environment, individual SES and psychosocial factors, and self-rated health: An analysis of older adults in Cook County, Illinois," Social Science & Medicine, Elsevier, vol. 63(10), pages 2575-2590, November.
    12. James Smith & Raynard Kington, 1997. "Demographic and economic correlates of health in old age," Demography, Springer;Population Association of America (PAA), vol. 34(1), pages 159-170, February.
    13. Zachary Zimmer & Linda G. Martin & Bobby L. Jones & Daniel S. Nagin, 2014. "Examining Late-Life Functional Limitation Trajectories and Their Associations With Underlying Onset, Recovery, and Mortality," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 69(2), pages 275-286.
    14. Tetyana Pudrovska & Benedicta Anikputa, 2014. "Editor's choice Early-Life Socioeconomic Status and Mortality in Later Life: An Integration of Four Life-Course Mechanisms," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 69(3), pages 451-460.
    15. Heidi Hanson & Ken Smith & Zachary Zimmer, 2015. "Reproductive History and Later-Life Comorbidity Trajectories: A Medicare-Linked Cohort Study From the Utah Population Database," Demography, Springer;Population Association of America (PAA), vol. 52(6), pages 2021-2049, December.
    16. Douglas A. Wolf & Carlos F. Mendes de Leon & Thomas A. Glass, 2007. "Trends in Rates of Onset of and Recovery From Disability at Older Ages: 1982–1994," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 62(1), pages 3-10.
    17. Dahly, Darren L. & Adair, Linda S., 2007. "Quantifying the urban environment: A scale measure of urbanicity outperforms the urban-rural dichotomy," Social Science & Medicine, Elsevier, vol. 64(7), pages 1407-1419, April.
    18. Deon Filmer & Lant Pritchett, 2001. "Estimating Wealth Effects Without Expenditure Data—Or Tears: An Application To Educational Enrollments In States Of India," Demography, Springer;Population Association of America (PAA), vol. 38(1), pages 115-132, February.
    19. Haas, Steven, 2008. "Trajectories of functional health: The 'long arm' of childhood health and socioeconomic factors," Social Science & Medicine, Elsevier, vol. 66(4), pages 849-861, February.
    20. Wight, Richard G. & Cummings, Janet R. & Miller-Martinez, Dana & Karlamangla, Arun S. & Seeman, Teresa E. & Aneshensel, Carol S., 2008. "A multilevel analysis of urban neighborhood socioeconomic disadvantage and health in late life," Social Science & Medicine, Elsevier, vol. 66(4), pages 862-872, February.
    21. Zachary Zimmer & Linda Martin & Daniel Nagin & Bobby Jones, 2012. "Modeling Disability Trajectories and Mortality of the Oldest-Old in China," Demography, Springer;Population Association of America (PAA), vol. 49(1), pages 291-314, February.
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    More about this item

    Keywords

    aging; developing countries; functional limitations; latent class analysis; midlife; motherhood; Philippines; physical functioning; women;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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