Linking perceived control, physical activity, and biological health to memory change

Psychology and Aging

Volumn 28, Issue 4, 2013, Pages 1147-1163

  Infurna, Frank J ^a,b   Gerstorf, Denis ^a,b  

^a HUMBOLDT UNIVERSITY   (Germany)

^b DIW BERLIN   (Germany)

Author keywords

Adulthood and old age; Behavioral and biological health; Cognitive aging; Health and retirement study; Sense of control

Indexed keywords

HEMOGLOBIN A; HEMOGLOBIN A1C; HIGH DENSITY LIPOPROTEIN CHOLESTEROL;

AGING; ARTICLE; COGNITION; EPISODIC MEMORY; FITNESS; HUMAN; LUNG FUNCTION; PHYSICAL ACTIVITY; SENESCENCE;

AGED; AGED, 80 AND OVER; AGING; COGNITION; FEMALE; HEALTH STATUS; HUMANS; INDIVIDUALITY; INTERNAL-EXTERNAL CONTROL; LONGITUDINAL STUDIES; MEMORY; MIDDLE AGED; MOTOR ACTIVITY; PERCEPTION; PERSONAL SATISFACTION; PHYSICAL FITNESS; PREDICTIVE VALUE OF TESTS;

EID: 84891130017     PISSN: 08827974     EISSN: 19391498     Source Type: Journal    
DOI: 10.1037/a0033327     Document Type: Article

References (129)

1. Agrigoroaei, S., & Lachman, M. E. (2011). Cognitive functioning in midlife and old age: Combined effects of psychosocial and behavioral factors. The Journals of Gerontology: Series B: Psychological Sciences and Social Sciences, 66, i130 -i140. doi:10.1093/geronb/gbr017
2. Agrigoroaei, S., Neupert, S. D., & Lachman, M. E. (2013). Maintaining a sense of control in the context of cognitive challenges: Greater stability in control beliefs benefits working memory. Geropsych: The Journal of Gerontopsychology and Geriatric Psychiatry, 26, 49-59.
3. Aiello, A. E., Haan, M. N., Blythe, L., Moore, K., Gonzalez, J. M., & Jagust, W. (2006). The influence of latent viral infection on rate of cognitive decline over 4 years. Journal of the American Geriatrics Society, 54, 1046-1054. doi:10.1111/j.1532-5415.2006.00796.x
4. Albert, M. S., Jones, K., Savage, C. R., Berkman, L., Seeman, T., Blazer, D., & Rowe, J. W. (1995). Predictors of cognitive change in older persons: MacArthur Studies of Successful Aging. Psychology and Aging, 10, 578-589. doi:10.1037/0882-7974.10.4.578
5. Anstey, K. J. (2012). Biomarkers and memory aging: A lifecourse per- spective. In M. Naveh-Benjamin & N. Ohta (Eds.), Memory and aging (pp. 349-372). New York, NY: Psychology Press.
6. Anstey, K., & Christensen, H. (2000). Education, activity, health, blood pressure and apolipoprotein E as predictors of cognitive change in old age: A review. Gerontology, 46, 163-177. doi:10.1159/000022153
7. Anstey, K. J., Luszcz, M. A., Giles, L. C., & Andrews, G. R. (2001). Demographic, health, cognitive, and sensory variables as predictors of mortality in very old adults. Psychology and Aging, 16, 3-11. doi: 10.1037/0882-7974.16.1.3
8. Antonucci, T. C. (2001). Social relations: An examination of social networks, social support, and sense of control. In J. E. Birren & K. W. Schaie (Eds.), Handbook of the psychology of aging (5th ed., pp. 427-453). San Diego, CA: Academic Press.
9. Baltes, P. B., Lindenberger, U., & Staudinger, U. M. (2006). Life-span theory in developmental psychology. In R. M. Lerner (Ed.), Handbook of child psychology Vol. 1: Theoretical models of human development (6th ed., pp. 569-664). New York, NY: Wiley.
10. Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, 191-215. doi:10.1037/0033-295X.84 .2.191
11. Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.
12. Bandura, A. (2004). Health promotion by social cognitive means. Health Education & Behavior, 31, 143-164. doi:10.1177/1090198104263660
13. Barter, P. J., & Rye, K.-A. (1996). High density lipoproteins and coronary heart disease. Atherosclerosis, 121, 1-12. doi:10.1016/0021- 9150(95)05675-0
14. Bender, A. R., & Raz, N. (2012). Age-related differences in episodic memory: A synergistic contribution of genetic and physiological vascular risk factors. Neuropsychologia, 50, 704 -714. doi:10.1016/j .neuropsychologia.2011.12.025
15. Berry, J. M., & West, R. L. (1993). Cognitive self-efficacy in relation to personal mastery and goal setting across the life span. International Journal of Behavioral Development, 16, 351-379. doi:10.1177/ 016502549301600213
16. Bielak, A. A. M. (2010). How can we not "lose it" if we still don't understand how to "use it"? Unanswered questions about the influence of activity participation on cognitive performance in older age - A mini-review. Gerontology, 56, 507-519. doi:10.1159/000264918
17. Bielak, A. A. M., Christensen, H., & Windsor, T. D. (2012). Activity engagement is related to level, but not change in cognitive ability across adulthood. Psychology and Aging, 27, 219-228. doi:10.1037/a0024667
18. Bielak, A. A. M., Hultsch, D. F., Levy-Ajzenkopf, J., MacDonald, S. W. S., Hunter, M. A., & Strauss, E. (2007). Short-term changes in general and memory-specific control beliefs and their relationship to cognition in younger and older adults. The International Journal of Aging & Human Development, 65, 53-71. doi:10.2190/G458-X101-0338-746X
19. Brach, J. S., Fitzgerald, S., Newman, A. B., Kelsey, S., Kuller, L., VanSwearingen, J. M., & Kriska, A. M. (2003). Physical activity and functional status in community-dwelling older women: A 14-year prospective study. Archives of Internal Medicine, 163, 2565-2571. doi: 10.1001/archinte.163.21.2565
20. Brady, C. B., Spiro, A., & Graziano, J. M. (2005). Effects of age and hypertension status on cognition: The Veterans Affairs Normative Aging Study. Neuropsychology, 19, 770-777. doi:10.1037/0894-4105.19.6.770
21. Buchman, A. S., Wilson, R. S., & Bennett, D. A. (2008). Total daily activity is associated with cognition in older persons. The American Journal of Geriatric Psychiatry, 16, 697-701. doi:10.1097/JGP .0b013e31817945f6
22. Caplan, L. J., & Schooler, C. (2003). The roles of fatalism, self-confidence, and intellectual resources in the disablement process in older adults. Psychology and Aging, 18, 551-561. doi:10.1037/0882-7974.18.3.551
23. Casserly, I., & Topol, E. (2004). Converge of atherosclerosis and Alzheimer's disease: Inflammation, cholesterol, and misfolded proteins. The Lancet, 363, 1139-1146. doi:10.1016/S0140-6736(04)15900-X
24. Clarke, P., Fisher, G., House, J., Smith, J., & Weir, D. (2008). Guide to content of the HRS psychosocial leave-behind participant lifestyle questionnaires: 2004 & 2006. Documentation report version 2.0. Ann Arbor, MI: University of Michigan. doi:10.7826/ISR-UM.06.585031.001.05 .0016.2008
25. Coffman, D. L. (2011). Estimating causal effects in mediation analysis using propensity scores. Structural Equation Modeling, 18, 357-369. doi:10.1080/10705511.2011.582001
26. Colcombe, S. J., & Kramer, A. F. (2003). Fitness effects on the cognitive function of older adults: A meta-analytic study. Psychological Science, 14, 125-130. doi:10.1111/1467-9280.t01-1-01430
27. Colcombe, S. J., Kramer, A. F., Erickson, K. I., Scalf, P., McAuley, E., Cohen, N. J., . . . Elavsky, S. (2004). Cardiovascular fitness, cortical plasticity, and aging. PNAS Proceedings of the National Academy of Sciences of the United States of America, 101, 3316-3321.
28. Cotman, C. W., & Berchtold, N. C. (2002). Exercise: A behavioral intervention to enhance brain health and plasticity. Trends in Neurosciences, 25, 295-301. doi:10.1016/S0166-2236(02)02143-4
29. Crimmins, E., Guyer, H., Langa, K., Ofstedal, M. B., Wallace, R., & Weir, D. (2008). Documentation of physical measures, anthropometrics and blood pressure in the Health and Retirement Study. HRS documentation report DR-011. Ann Arbor, MI: University of Michigan.
30. Crimmins, E., Guyer, H., Langa, K., Ofstedal, M. B., Wallace, R., & Weir, D. (2009). Documentation of biomarkers in the Health and Retirement Study. HRS documentation report. Ann Arbor, MI: University of Michigan. doi:10.7826/ISR-UM.06.585031.001.05.0018.2009
31. Danner, D. D., Snowdon, D. A., & Friesen, W. V. (2001). Positive emotions in early life and longevity: Findings from the Nun Study. Journal of Personality and Social Psychology, 80, 804-813. doi: 10.1037/0022-3514.80.5.804
32. Deary, I. J., Weiss, A., & Batty, G. D. (2010). Intelligence and personality as predictors of illness and death: How researchers in differential psychological and chronic disease epidemiology are collaborating to understand and address health inequalities. Psychological Science in the Public Interest, 11, 53-79. doi:10.1177/1529100610387081
33. de la Torre, J. C. (2004). Is Alzheimer's disease a neurodegenerative or a vascular disorder? Data, dogma, and dialectics. Lancet Neurology, 3, 184-190. doi:10.1016/S1474-4422(04)00683-0
34. Després, J.-P., Lemieux, I., Bergeron, J., Pibarot, P., Mathieu, P., Larose, E., . . . Poirier, P. (2008). Abdominal obesity and the metabolic syndrome: Contribution to global cardiometabolic risk. Arteriosclerosis, Thrombosis, and Vascular Biology, 28, 1039 -1049. doi:10.1161/ ATVBAHA.107.159228
35. Desrichard, O., & Köpetz, C. (2005). A threat in the elder: The impact of task-instructions, self-efficacy and performance expectations on memory performance in the elderly. European Journal of Social Psychology, 35, 537-552. doi:10.1002/ejsp.249
36. Diehl, M., & Hay, E. L. (2010). Risk and resilience factors in coping with daily stress in adulthood: The role of age, self-concept incoherence, and personal control. Developmental Psychology, 46, 1132-1146. doi: 10.1037/a0019937
37. Ferrer, E., & McArdle, J. J. (2010). Longitudinal modeling of developmental changes in psychological research. Current Directions in Psychological Science, 19, 149-154. doi:10.1177/0963721410370300
38. Foster, E. M. (2010). Causal inference and developmental psychology. Developmental Psychology, 46, 1454-1480. doi:10.1037/a0020204
39. Fratiglioni, L., Paillard-Borg, S., & Winblad, B. (2004). An active and social integrated lifestyle in late life might protect against dementia. Lancet Neurology, 3, 343-353. doi:10.1016/S1474-4422(04)00767-7
40. Gale, C. R., Batty, G. D., & Deary, I. J. (2008). Locus of control at age 10 years and health outcomes and behaviors at age 30 years: The 1970 British Cohort Study. Psychosomatic Medicine, 70, 397-403. doi: 10.1097/PSY.0b013e31816a719e
41. Gerstorf, D., Hoppmann, C. A., Kadlec, K. M., & McArdle, J. J. (2009). Memory and depressive symptoms are dynamically linked among married couples: Longitudinal evidence from the AHEAD Study. Developmental Psychology, 45, 1595-1610. doi:10.1037/a0016346
42. Gerstorf, D., Lövdén, M., Röcke, C., Smith, J., & Lindenberger, U. (2007). Well-being affects changes in perceptual speed in advanced old age: Longitudinal evidence for a dynamic link. Developmental Psychology, 43, 705-718. doi:10.1037/0012-1649.43.3.705
43. Gerstorf, D., Röcke, C., & Lachman, M. E. (2011). Antecedent-consequent relations of perceived control to health and social support: Longitudinal evidence for between-domain associations across adulthood. The Journals of Gerontology: Series B: Psychological Sciences and Social Sciences, 66, 61-71. doi:10.1093/geronb/gbq077
44. Griffin, M. J., & Chen, E. (2006). Perceived control and immune and pulmonary outcomes in children with asthma. Psychosomatic Medicine, 68, 493-499. doi:10.1097/01.psy.0000221367.96439.da
45. Grimm, K. J., An, Y., McArdle, J. J., Zonderman, A. B., & Resnick, S. M. (2012). Recent changes leading to subsequent changes: Extensions of multivariate latent difference score models. Structural Equation Modeling, 19, 268-292. doi:10.1080/10705511.2012.659627
46. Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., . . . Costa, F. (2005). Diagnosis and management of the metabolic syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation, 112, 2735- 2752. doi:10.1161/CIRCULATIONAHA.105.169404
47. Hay, E. L., & Diehl, M. (2010). Reactivity to daily stressors in adulthood: The importance of stressor type in characterizing risk factors. Psychology and Aging, 25, 118-131. doi:10.1037/a0018747
48. Hertzog, C., Kramer, A. F., Wilson, R. S., & Lindenberger, U. (2008). Enrichment effects on adult cognitive development: Can the functional capacity of older adults be preserved and enhanced? Psychological Science in the Public Interest, 9, 1-65.
49. Hertzog, C., McGuire, C. L., & Lineweaver, T. T. (1998). Aging, attributions, perceived control, and strategy use in a free recall task. Aging, Neuropsychology, and Cognition, 5, 85-106. doi:10.1076/anec.5.2.85 .601
50. Hultsch, D. F., Hertzog, C., Small, B. J., & Dixon, R. A. (1999). Use it or lose it: Engaged lifestyle as a buffer of cognitive decline in aging? Psychology and Aging, 14, 245-263. doi:10.1037/0882-7974.14.2.245
51. Imai, K., Keele, L., & Tingley, D. (2010). A general approach to causal mediation analysis. Psychological Methods, 15, 309-334. doi:10.1037/ a0020761
52. Infurna, F. J., & Gerstorf, D. (in press). Perceived control relates to better functional health and lower cardio-metabolic risk: The mediating role of physical activity. Health Psychology.
53. Infurna, F. J., Gerstorf, D., & Zarit, S. H. (2011). Examining dynamic links between perceived control and health: Longitudinal evidence for differential effects in midlife and old age. Developmental Psychology, 47, 9-18. doi:10.1037/a0021022
54. Infurna, F. J., Ram, N., & Gerstorf, D. (in press). Level and change in perceived control predict 19-year mortality: Findings from the Americans' Changing Lives Study. Developmental Psychology.
55. Juster, R.-P., McEwen, B. S., & Lupien, S. J. (2010). Allostatic load biomarkers of chronic stress and impact on health and cognition. Neuroscience and Biobehavioral Reviews, 35, 2-16. doi:10.1016/j .neubiorev.2009.10.002
56. Kennelly, S. P., Lawlor, B. A., & Kenny, R. A. (2009). Blood pressure and risk for dementia: A double edged sword. Ageing Research Reviews, 8, 61-70. doi:10.1016/j.arr.2008.11.001
57. Khaw, K.-T., & Wareham, N. (2006). Glycated hemoglobin as a marker of cardiovascular risk. Current Opinion in Lipidology, 17, 637-643. doi: 10.1097/MOL.0b013e3280106b95
58. Kramer, A. F., Bherer, L., Colcombe, S. J., Dong, W., & Greenough, W. T. (2004). Environmental influences on cognitive and brain plasticity during aging. The Journals of Gerontology: Series A: Biological Sciences and Medical Sciences, 59, M940-M957. doi:10.1093/gerona/59.9.M940
59. Kumari, M., Brunner, E., & Fuhrer, R. (2000). Minireview: Mechanisms by which the metabolic syndrome and diabetes impair memory. The Journals of Gerontology: Series A: Biological Sciences and Medical Sciences, 55, B228-B232. doi:10.1093/gerona/55.5.B228
60. Lachman, M. E. (1986). Locus of control in aging research: A case for multidimensional and domain-specific assessment. Psychology and Aging, 1, 34-40. doi:10.1037/0882-7974.1.1.34
61. Lachman, M. E. (2006). Perceived control over aging-related declines: Adaptive beliefs and behaviors. Current Directions in Psychological Science, 15, 282-286. doi:10.1111/j.1467-8721.2006.00453.x
62. Lachman, M. E., & Agrigoroaei, S. (2010). Promoting functional health in midlife and old age: Long-term protective effects of control beliefs, social support, and physical exercise. PLoS ONE, 5, e13297.
63. Lachman, M. E., & Andreoletti, C. (2006). Stretegy use mediates the relationship between control beliefs and memory performance for middle-aged and older adults. Journals of Gerontology: Psychological Sciences, 61B, P88-P94.
64. Lachman, M. E., & Firth, K. M. (2004). The adaptive value of feeling in control during midlife. In O. G. Brim, Jr., C. D. Ryff, & R. C. Kessler (Eds.), How healthy are we? A national study of well-being at midlife (pp. 320-349). Chicago, IL: University of Chicago Press.
65. Lachman, M. E., Jette, A., Tennstedt, S., Howland, J., Harris, B. A., & Peterson, E. (1997). A cognitive- behavioural model for promoting regular physical activity in older adults. Psychology, Health & Medicine, 2, 251-261. doi:10.1080/13548509708400583
66. Lachman, M. E., Neupert, S. D., & Agrigoroaei, S. (2011). The relevance of control beliefs for health and aging. In K. W. Schaie & S. L. Willis (Eds.), Handbook of the psychology of aging (7th ed., pp. 175-190). San Diego, CA: Academic Press. doi:10.1016/B978-0-12-380882-0.00011-5
67. Levine, J. A., Eberhardt, N. L., & Jensen, M. D. (1999). Role of nonexercise activity thermogenesis in resistance to fat gain in humans. Science, 283, 212-214. doi:10.1126/science.283.5399.212
68. Lindenberger, U., von Oertzen, T., Ghisletta, P., & Hertzog, C. (2011). Cross-sectional age variance extraction: What's change got to do with it? Psychology and Aging, 26, 34-47. doi:10.1037/a0020525
69. MacDonald, S. W. S., DeCarlo, C. A., & Dixon, R. A. (2011). Linking biological and cognitive aging: Toward improving characterizations of developmental time. The Journals of Gerontology: Series B: Psychological Sciences and Social Sciences, 66, i59 -i70. doi:10.1093/geronb/ gbr039
70. MacKinnon, D. P., Fairchild, A. J., & Fritz, M. S. (2007). Mediation analysis. Annual Review of Psychology, 58, 593-614. doi:10.1146/ annurev.psych.58.110405.085542
71. Maxwell, S. E., & Cole, D. A. (2007). Bias in cross-sectional analyses of longitudinal mediation. Psychological Methods, 12, 23-44. doi:10.1037/ 1082-989X.12.1.23
72. McArdle, J. J. (2009). Latent variable modeling of differences in changes with longitudinal data. Annual Review of Psychology, 60, 577-605. doi:10.1146/annurev.psych.60.110707.163612
73. McArdle, J. J., Fisher, G. G., & Kadlec, K. M. (2007). Latent variable analyses of age trends from the Health and Retirement Study, 1992- 2004. Psychology and Aging, 22, 525-545. doi:10.1037/0882-7974.22 .3.525
74. McArdle, J. J., & Hamagami, F. (2001). Linear dynamic analyses of incomplete longitudinal data. In L. Collins & A. Sayer (Eds.), Methods for the analysis of change (pp. 139-175). Washington, DC: APA Press. doi:10.1037/10409-005
75. McArdle, J. J., & Nesselroade, J. R. (2003). Growth curve analysis in contemporary psychological research. In J. Shinka & W. Velicer (Eds.), Comprehensive handbook of psychology: Research methods in psychol- ogy (Vol. 2, pp. 447- 480). New York, NY: Wiley. doi:10.1002/ 0471264385.wei0218
76. McAuley, E. (1993). Self-efficacy and the maintenance of exercise participation in older adults. Journal of Behavioral Medicine, 16, 103-113. doi:10.1007/BF00844757
77. McEwen, B. S. (1998). Protective and damaging effects of stress mediators. The New England Journal of Medicine, 338, 171-179. doi:10.1056/ NEJM199801153380307
78. Moffitt, T. E., Arsenealt, L., Belsky, D., Dickson, N., Hancox, R. J., Harrington, H., . . . Caspi, A. (2011). A gradient of childhood selfcontrol predicts health, wealth, and public safety. PNAS Proceedings of the National Academy of Sciences of the United States of America, 108, 2693-2698. doi:10.1073/pnas.1010076108
79. Molenaar, P. C. M., Huizenga, H. M., & Nesselroade, J. R. (2003). The relationship between the structure of interindividual and intraindividual variability: A theoretical and empirical vindication of developmental systems theory. In U. M. Staudinger & U. Lindenberger (Eds.), Understanding human development: Dialogues with lifespan psychology (pp. 339-360). Dordrecht, Netherlands: Kluwer. doi:10.1007/978-1-4615- 0357-6_15
80. Muthén, L. K., & Muthén, B. O. (1998 -2007). Mplus user's guide (4th ed.). Los Angeles, CA: Author.
81. Nabors, L., McGrady, M. E., & Kichler, J. (2010). Children's attitudes toward their diabetes, locus of control, and HbA1c levels. Journal of Developmental and Physical Disabilities, 22, 475-484. doi:10.1007/ s10882-009-9183-3
82. Nesselroade, J. R. (1991). The warp and woof of the developmental fabric. In R. Downs, L. Liben, & D. Palermo (Eds.), Visions of development, the environment, and aesthetics: The legacy of Joachim F. Wohlwill (pp. 213-240). Hillsdale, NJ: Erlbaum.
83. Neupert, S. D., & Allaire, J. C. (2012). I think I can, I think I can: Examining the within-person coupling of control beliefs and cognition in older adults. Psychology and Aging, 27, 742-749. doi:10.1037/ a0026447
84. Ofstedal, M. B., Fisher, G. G., & Herzog, A. R. (2005). Documentation of cognitive functioning measures in the Health and Retirement Study. HRS/AHEAD documentation report DR-006. Ann Arbor, MI: University of Michigan.
85. Parslow, R. A., Jorm, A. F., Christensen, H., & Mackinnon, A. (2006). An instrument to measure engagement in life: Factor analysis and associations with sociodemographic, health and cognition measures. Gerontology, 52, 188-198.
86. Pearlin, L. I., & Schooler, C. (1978). The structure of coping. Journal of Health and Social Behavior, 19, 2-21. doi:10.2307/2136319
87. Penedo, F. J., & Dahn, J. R. (2005). Exercise and well-being: A review of mental and physical health benefits associated with physical activity. Current Opinion in Psychiatry, 18, 189-193. doi:10.1097/00001504- 200503000-00013
88. Podewils, L. J., Guallar, E., Kuller, L. H., Fried, L. P., Lopez, O. L., Carlson, M., & Lyketsos, C. G. (2005). Physical activity, APOE Genotype, and dementia risk: Findings from the Cardiovascular Health Cognition Study. American Journal of Epidemiology, 161, 639-651. doi: 10.1093/aje/kwi092
89. Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40, 879-891. doi:10.3758/ BRM.40.3.879
90. Preacher, K. J., & Kelley, K. (2011). Effect size measures for mediation models: Quantitative strategies for communicating indirect effects. Psychological Methods, 16, 93-115. doi:10.1037/a0022658
91. Qiu, C., Winblad, B., & Fratiglioni, L. (2005). The age-dependent relation of blood pressure to cognitive function and dementia. The Lancet Neurology, 4, 487-499. doi:10.1016/S1474-4422(05)70141-1
92. Ram, N., & Gerstorf, D. (2009). Time-structured and net intraindividual variability: Tools for examining the development of dynamic characteristics and processes. Psychology and Aging, 24, 778-791. doi:10.1037/ a0017915
93. Rantanen, T., Guralnik, J. M., Foley, D., Masaki, K., Leveille, S., Curb, J. D., & White, L. (1999). Midlife hand grip strength as a predictor of old age disability. Journal of American Medical Association, 281, 558-560. doi:10.1001/jama.281.6.558
94. Rantanen, T., Volpato, S., Ferrucci, L., Heikkinen, E., Fried, L. P., & Guralnik, J. M. (2003). Handgrip strength and cause-specific and total mortality in older disabled women: Exploring the mechanism. Journal of American Geriatric Society, 51, 636-641.
95. Reich, J. W., & Zautra, A. J. (1990). Dispositional control beliefs and the consequences of a control-enhancing intervention. The Journals of Gerontology: Series B: Psychological Sciences and Social Sciences, 45, P46-P51.
96. Rodin, J. (1986). Aging and health: Effects of the sense of control. Science, 233, 1271-1276. doi:10.1126/science.3749877
97. Roepke, S. K., & Grant, I. (2011). Toward a more complete understanding of the effects of personal mastery on cardio-metabolic health. Health Psychology, 30, 615-632. doi:10.1037/a0023480
98. Rowe, J. W., & Kahn, R. L. (1987). Human aging: Usual and successful. Science, 237, 143-149. doi:10.1126/science.3299702
99. Sachdev, P. S., Anstey, K. J., Parslow, R. A., Wen, W., Maller, J., Kumarc, R., . . . Jorm, A. F. (2006). Pulmonary function, cognitive impairment and brain atrophy in a middle-aged community sample. Dementia and Geriatric Cognitive Disorders, 21, 300-308. doi:10.1159/000091438
100. Schwartz, J. E., & Stone, A. A. (1998). Data analysis for EMA studies. Health Psychology, 17, 6-16. doi:10.1037/0278-6133.17.1.6
101. Seligman, M. E. P. (1975). Helplessness: On depression, development, and death. San Francisco, CA: Freeman.
102. Selvin, E., Steffes, M. W., Zhu, H., Matsushita, K., Wagenknecht, L., Pankow, J., . . . Brancati, F. L. (2010). Glycated hemoglobin, diabetes, and cardiovascular risk in nondiabetic adults. New England Journal of Medicine, 362, 800-811. doi:10.1056/NEJMoa0908359
103. Skaff, M. M. (2007). Sense of control and health: A dynamic duo in the aging process. In C. M. Aldwin, C. L. Park, & A. Spiro (Eds.), Handbook of health psychology and aging (pp. 186-209). New York, NY: Guilford Press.
104. Skinner, E. A. (1996). A guide to constructs of control. Journal of Personality and Social Psychology, 71, 549-570. doi:10.1037/0022-3514 .71.3.549
105. Sliwinski, M. J., & Mogle, J. (2008). Time-based and process-based approaches to analysis of longitudinal data. In S. M. Hofer & D. F. Alwin (Eds.), Handbook of cognitive aging: Interdisciplinary perspectives (pp. 477- 491). Thousand Oaks, CA: Sage. doi:10.4135/ 9781412976589.n28
106. Small, B. J., Dixon, R. A., McArdle, J. J., & Grimm, K. J. (2012). Do changes in lifestyle engagement moderate cognitive decline in normal aging? Evidence from the Victoria Longitudinal Study. Neuropsychology, 26, 144-155. doi:10.1037/a0026579
107. Small, B. J., Rosnick, C. B., Fratiglioni, L., & Bäckman, L. (2004). Apolipoprotein E and cognitive performance: A meta-analysis. Psychology and Aging, 19, 592-600. doi:10.1037/0882-7974.19.4.592
108. Smith, J., & Infurna, F. J. (2011). Early precursors of later health. In. K. L. Fingerman, C. A. Berg, J. Smith, & T. C. Antonucci (Eds.), Handbook of lifespan development (pp. 213-238). New York, NY: Springer.
109. Soederberg Miller, L. M., & Lachman, M. E. (1999). The sense of control and cognitive aging: Toward a model of mediational processes. In T. Hess & F. Blanchard-Fields (Eds.), Social cognition (pp. 17-41). New York, NY: Academic Press. doi:10.1016/B978-012345260-3/50003-3
110. Soldo, B. J., Hurd, M., Rodgers, W., & Wallace, R. (1997). Asset and health dynamics among the oldest old: An overview of the AHEAD study. The Journals of Gerontology: Series B: Psychological Sciences and Social Sciences, 52, 1-20. doi:10.1093/geronb/52B.Special_Issue.1
111. Spiro, A., III, & Brady, C. B. (2008). Integrating health into cognitive aging research and theory: Quo vadis? In S. M. Hofer & D. F. Alwin (Eds.), Handbook of cognitive aging: Interdisciplinary perspectives (pp. 260-283). Thousand Oaks, CA: Sage. doi:10.4135/9781412976589.n16
112. Spiro, A., III, & Brady, C. B. (2011). Integrating health into cognitive aging: Toward a preventive cognitive neuroscience of aging. The Journals of Gerontology: Series B: Psychological Sciences and Social Sciences, 66, i17-i25. doi:10.1093/geronb/gbr018
113. Stampfer, M. J. (2006). Cardiovascular disease and Alzheimer's disease: Common links. Journal of Internal Medicine, 260, 211-223. doi: 10.1111/j.1365-2796.2006.01687.x
114. Stefanick, M. L., Mackey, S., Sheehan, M., Ellsworth, N., Haskell, W. L., & Wood, P. D. (1998). Effects of diet and exercise in men and postmenopausal women with low levels of HDL cholesterol and high levels of LDL cholesterol. The New England Journal of Medicine, 339, 12-20. doi:10.1056/NEJM199807023390103
115. Stern, Y. (2002). What is cognitive reserve? Theory and research application of the reserve concept. Journal of the International Neuropsychological Society, 8, 448-460. doi:10.1017/S1355617702813248
116. Stuart, E. A. (2010). Matching methods for causal inference: A review and a look forward. Statistical Science, 25, 1-21. doi:10.1214/09-STS313
117. Thorvaldsson, V., Skoog, I., Hofer, S. M., Börjesson-Hanson, A., Östling, S., Sacuiu, S., & Johansson, B. (2012). Nonlinear blood pressure effects on cognition in old age: Separating between-person and within-person associations. Psychology and Aging, 27, 375-383. doi:10.1037/ a0025631
118. Uchino, B. N. (2006). Social support and health: A review of physiological processes potentially underlying links to disease outcomes. Journal of Behavioral Medicine, 29, 377-387. doi:10.1007/s10865-006-9056-5
119. Valeri, L., & VanderWeele, T. J. (2013). Mediation analysis allowing for exposure-mediator interactions and causal interpretation: Theoretical assumptions and implementation with SAS and SPSS macros. Psychological Methods. Advance online publication. doi:10.1037/a0031034
120. Verhaegen, P., Borchelt, M., & Smith, J. (2003). Relation between cardiovascular and metabolic disease and cognition in very old age: Crosssectional and longitudinal findings from the Berlin Aging Study. Health Psychology, 22, 559-569. doi:10.1037/0278-6133.22.6.559
121. Voelkle, M. C., Oud, J. H. L., Davidov, E., & Schmidt, P. (2012). An SEM approach to continuous time modeling of panel data: Relating authoritarianism and anomia. Psychological Methods, 17, 176 -192. doi: 10.1037/a0027543
122. Wahlin, Å, MacDonald, S. W. S., de Frias, C. M., Nilsson, L.-G., & Dixon, R. A. (2006). How do health and biological age influence chronological age and sex differences in cognitive aging: Moderating, mediating, or both? Psychology and Aging, 21, 318-332. doi:10.1037/0882-7974.21 .2.318
123. Waldstein, S. R., Brown, J. R. P., Maier, J. K., & Katzel, L. I. (2005). Diagnosis of hypertension and high blood pressure levels negatively affect cognitive function in older adults. Annals of Behavioral Medicine, 29, 174-180.
124. West, S. G., Duan, N., Pequegnat, W., Gaist, P., Des Jarlais, D. C., Holtgrave, D., . . . Mullen, P. D. (2008). Alternatives to the randomized controlled trial. American Journal of Public Health, 98, 1359-1366. doi:10.2105/AJPH.2007.124446
125. White, S. M., Wójcicki, T. R., & McAuley, E. (2012). Social cognitive influences on physical activity behavior in middle-aged and older adults. The Journals of Gerontology: Series B: Psychological Sciences and Social Sciences, 67, P18-P26. doi:10.1093/geronb/gbr064
126. Windsor, T. D., & Anstey, K. A. (2008). A longitudinal investigation of perceived control and cognitive performance in young, midlife, and older adults. Aging, Neuropsychology, and Cognition, 15, 744-763. doi:10.1080/13825580802348570
127. Yaffe, K., Fiocco, A. J., Lindquist, K., Vittinghoff, E., Simonsick, E. M., Newman, A. B., . . . Harris, T. B. (2009). Predictors of maintain cognitive function in older adults: The Health ABC Study. Neurology, 72, 2029-2035. doi:10.1212/WNL.0b013e3181a92c36
128. Yaffe, K., Kanaya, A., Lindquist, K., Simonsick, E. M., Harris, T., Shorr, R. I., . . . Newman, A. B. (2004). The metabolic syndrome, inflammation and risk of cognitive decline. JAMA: Journal of the American Medical Association, 292, 2237-2242. doi:10.1001/jama.292.18.2237
129. Yaffe, K., Lindquist, K., Schwartz, A. V., Vitartas, C., Vittinghof, E., Satterfield, S., . . . Harris, T. (2011). Advanced glycation end product level, diabetes, and accelerated cognitive aging. Neurology, 77, 1351- 1356. doi:10.1212/WNL.0b013e3182315a56