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Data Sources, Measures, Validity, and a Description of the Older Adult Population

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Abstract

The degree to which analyses of the determinants of health using surveys of older adults are relevant hinges partially on the quality of the data – the degree to which the data accurately reflect the older adult population across countries and the degree to which the data are valid. Although there are limitations, the data are consistent with what is already about known about the older adult population and about associations between adult chronic conditions and related health conditions; thus inferences can be made.

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Notes

  1. 1.

    See Appendix C (RELATE, 2013) for more details.

  2. 2.

    Raghunathan, Reiter, and Rubin (2003), Raghunathan, Solenberger, and Van Hoewyk (2007), Royston (2004, 2006), Rubin (1987), Van Buren, Boshuizen, and Knook (1999).

  3. 3.

    Weinstein and Goldman (2003), page 18.

  4. 4.

    Mehrotra and Jolly (1997).

  5. 5.

    Anderson and Silver (1986) and Prokhorov (2005–2009).

  6. 6.

    McEniry, Moen, and McDermott (2013).

  7. 7.

    Palloni, McEniry, Wong, and Peláez (2007).

  8. 8.

    López-Alonso (2007).

  9. 9.

    Preston (1976); see also McEniry (2009c).

  10. 10.

    A more suitable measure would have been questions regarding the educational attainment of the respondent’s father or mother. An in sufficient number of countries in the sample collected data on parental education. Where available in the cross-national data, rural birthplace was strongly associated with lower educational attainment. Thus, birthplace was used as a proxy for low parental SES. The limitations of using rural/urban birthplace are that it is very broad and there may be important rural and urban differences in epidemiology environment which confound the meaning of rural birthplace.

  11. 11.

    Food and Agriculture Organization of United States (1946).

  12. 12.

    McEniry, Palloni, Dávila, and García (2008).

  13. 13.

    Smoking was defined as only cigarette smoking for England, US-HRS, US-WLS, Puerto Rico-PREHCO (100 cigarettes or more), Taiwan, Mexico-MHAS, and China-CHNS. In the remaining countries, smoking was defined in the following manner:

    • Netherlands: Respondent smoked cigarettes, cigars, cigarillos, or a pipe daily for at least one year.

    • SABE cities: General smoking question. Follow-up question asks about number of cigarettes, cigars, or pipes smoked per day.

    • Costa Rica: Respondent smoked more than 100 cigarettes or cigars during his/her lifetime.

    • SAGE countries: Respondent smoked tobacco products such as cigarettes, cigars, pipes, chewing tobacco, snuff, or smokeless tobacco.

      • Bangladesh: Respondent smoke hookah, biri, cigarettes, or cigars.

      • China-CLHLS: General smoking question.

      • Indonesia: Respondent smoked cigarettes or cigars.

    Exercises refers to the percent of respondents who indicated that they participate in some type of exercise. In US-HRS, SABE cities, Costa Rica, Puerto Rico, and Mexico-MHAS, this is defined as vigorous physical activity (including sports, heavy work, or other physical work) three or more times a week. In the Netherlands, England, and US-WLS, this is defined as vigorous physical activity, without a specified timeframe. In the remaining countries, exercise was defined in the following manner:

    • SAGE countries: Respondent participates in vigorous-intensity activity that causes large increases in breathing or heart rate (e.g., heavy lifting, digging, chopping wood) for at least 10 min continuously.

      • Taiwan: Respondent participates in exercise (not defined further).

      • Bangladesh: Survey does not ask about exercise behaviors.

      • China-CLHLS: The type or degree of exercise is not specified in survey.

    • China-CHNS: Respondent participates in heavy or very heavy physical activities during the work day in a week (e.g., farmer, athlete, dancer, steel worker, lumber worker, mason, etc.).

      • Indonesia: Survey does not ask about exercise behaviors.

  14. 14.

    Drinks refers to the percent of respondents who indicated that they drink alcoholic beverages. The timeframes for drinking habits varied, anywhere from drinking in the last 3 months (SABE cities, Puerto Rico), the last 6 months (Netherlands, Taiwan), the last year (England, China-CHNS), to anytime in their lifetime (US-HRS, US-WLS, Costa Rica, Mexico-MHAS). In the remaining countries, drinks was defined in the following manner:

    • SAGE countries: Respondent drank an alcoholic beverage in their lifetime (past drinker) or in the last 30 days (present drinker).

      • Bangladesh: Survey does not ask about drinking behaviors.

      • China-CLHLS: Respondent drinks alcohol at present or drank alcohol in the past.

      • Indonesia: Survey does not ask about drinking behaviors.

  15. 15.

    Visits to a doctor refers to the percent of respondents who indicated that they visited a medical doctor at least once in the previous year. The Indonesian survey included any visits in a 5-year time period.

  16. 16.

    McEniry (2008) and RELATE (2013).

  17. 17.

    See McEniry, Moen, and McDermott (2013).

  18. 18.

    Rose (1962) and Rose et al. (1977).

  19. 19.

    McDowell (2006).

  20. 20.

    McEniry (2008).

  21. 21.

    Centers for Disease Control and Prevention (CDC) (2012).

  22. 22.

    Katz and Akpom (1976).

  23. 23.

    Nagi (1976).

  24. 24.

    Bergman et al. (2007) and Rockwood and Mitnitski (2007).

  25. 25.

    Smith, Branch, and Scherr (1990).

  26. 26.

    Stump, Clark, Johnson, and Wolinsky (1977), Wray, Herzog, and Park (1996), and Wray and Lynch (1998).

  27. 27.

    Pluijm et al. (2005).

  28. 28.

    Kuder and Richardson (1937).

  29. 29.

    See McEniry (2011a) for more detail.

  30. 30.

    Palloni and McEniry analyses carried out during 2007.

  31. 31.

    Take the example of Puerto Rico (Clark, 1930).

  32. 32.

    See for example Case and Paxson (2010), Davis-Kean (2005), Kuh and Wadsworth (1989).

  33. 33.

    See for example Fernós Isern (1932, n.d.), Garrido Morales (1935, 1941), Ortiz (1927, 1931), and US Census Bureau (1932).

  34. 34.

    Palloni, McEniry, Dávila, and García Gurucharri (2005).

  35. 35.

    Kuh and Ben-Shlomo (2004).

  36. 36.

    Sample sizes less than or equal to 20 in any age group were omitted from the graphs.

  37. 37.

    Rose (1962).

  38. 38.

    Baker, Stabile, and Deri (2004), Banks et al. (2006a, 2006b), Beckett, Weinstein, Goldman, and Yu-Hsuan (2000), and Goldman, Lin, Weinstein, and Lin (2003).

  39. 39.

    See Brenes (2008) but also Andrade (2008).

  40. 40.

    Brenes (2008).

  41. 41.

    He, Muenchrath, and Kowal (2012).

  42. 42.

    For examples of ethnicity in different surveys see RELATE (2013).

  43. 43.

    For height and knee height see Eveleth and Tanner (1990), Gunnell, Davey Smith, Holly, and Frankel (1998), and for season of birth see Doblhammer (2004).

  44. 44.

    McEniry, Moen, and McDermott (2013), McEniry (2012).

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McEniry, M. (2014). Data Sources, Measures, Validity, and a Description of the Older Adult Population. In: Early Life Conditions and Rapid Demographic Changes in the Developing World. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6979-3_3

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