Falls among middle-aged women in the Women's Interagency HIV Study

Antiviral Therapy

Volumn 21, Issue 8, 2016, Pages 697-706

  Sharma, Anjali ^a   Hoover, Donald R ^b   Shi, Qiuhu ^c   Holman, Susan ^d   Plankey, Michael W ^e   Wheeler, Amber L ^f   Weber, Kathleen ^g   Floris Moore, Michelle ^h   Bolivar, Hector H ⁱ   Vance, David E ^j   Mack, Wendy J ^k   Golub, Elizabeth T ^l   Holstad, Marcia McDonnell ^m   Yin, Michael T ⁿ  

^a ALBERT EINSTEIN COLLEGE OF MEDICINE   (United States)

^b RUTGERS UNIVERSITY   (United States)

^c NEW YORK MEDICAL COLLEGE   (United States)

^d SUNY DOWNSTATE MEDICAL CENTER   (United States)

^e GEORGETOWN UNIVERSITY MEDICAL CENTER   (United States)

^f VETERANS AFFAIRS MEDICAL CENTER   (United States)

^g Jr Hospital of Cook County   (United States)

^h UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

ⁱ UNIVERSITY OF MIAMI HEALTH SYSTEM   (United States)

^j UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^k UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^l JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^m EMORY UNIVERSITY   (United States)

ⁿ Department of Medicine   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

CENTRAL NERVOUS SYSTEM AGENTS;

ADULT; AGE; ARTICLE; CANNABIS USE; CENTER FOR EPIDEMIOLOGICAL STUDIES DEPRESSION SCALE; COGNITIVE DEFECT; COMORBIDITY; CONTROLLED STUDY; DEPRESSION; FALLING; FEMALE; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; MAJOR CLINICAL STUDY; MIDDLE AGED; OBESITY; PERIPHERAL NEUROPATHY; SELF REPORT; UNITED STATES; AGED; COGNITION; COHORT ANALYSIS; COMPLICATION; RISK FACTOR; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

ACCIDENTAL FALLS; ADULT; AGE FACTORS; AGED; COGNITION; COHORT STUDIES; FEMALE; HIV INFECTIONS; HUMANS; LOGISTIC MODELS; MIDDLE AGED; RISK FACTORS;

EID: 85011311222     PISSN: 13596535     EISSN: 20402058     Source Type: Journal    
DOI: 10.3851/IMP3070     Document Type: Article

References (50)

1. Guaraldi G, Orlando G, Zona S, et al. Premature age-related comorbidities among HIV-infected persons compared with the general population. Clin Infect Dis 2011; 53:1120-1126.
2. Heaton RK, Clifford DB, Franklin DR, Jr., et al. HIV-associated neurocognitive disorders persist in the era of potent antiretroviral therapy: CHARTER study. Neurology 2010; 75:2087-2096.
3. Tozzi V, Balestra P, Bellagamba R, et al. Persistence of neuropsychologic deficits despite long-term highly active antiretroviral therapy in patients with HIV-related neurocognitive impairment: prevalence and risk factors. J Acquir Immune Defic Syndr 2007; 45:174-182.
4. Piggott DA, Muzaale AD, Mehta SH, et al. Frailty, HIV infection, and mortality in an aging cohort of injection drug users. PLoS ONE 2013; 8:e54910.
5. Desquilbet L, Jacobson LP, Fried LP, et al. A frailty-related phenotype before HAART initiation as an independent risk factor for AIDS or death after HAART among HIV-infected men. J Gerontol A Biol Sci Med Sci 2011; 66:1030-1038.
6. Desquilbet L, Jacobson LP, Fried LP, et al. HIV-1 infection is associated with an earlier occurrence of a phenotype related to frailty. J Gerontol A Biol Sci Med Sci 2007; 62:1279-1286.
7. Greene M, Steinman MA, McNicholl IR, et al. Polypharmacy, drug-drug interactions, and potentially inappropriate medications in older adults with human immunodeficiency virus infection. J Am Geriatr Soc 2014; 62:447-453.
8. Edelman EJ, Gordon KS, Glover J, et al. The next therapeutic challenge in HIV: polypharmacy. Drugs Aging 2013; 30:613-628.
9. Greene M, Covinsky K, Astemborski J, et al. The relationship of physical performance with HIV disease and mortality. AIDS 2014; 28:2711-2719.
10. Richert L, Dehail P, Mercie P, et al. High frequency of poor locomotor performance in HIV-infected patients. AIDS 2011; 25:797-805.
11. Schrack JA, Althoff KN, Jacobson LP, et al. Accelerated longitudinal gait speed decline in HIV-infected older men. J Acquir Immune Defic Syndr 2015; 70:370-376.
12. Greene M, Covinsky K, Astemborski J, et al. The relationship of physical performance with HIV disease and mortality. AIDS 2014; 28:2711-2719.
13. Brown TT, Qaqish RB. Antiretroviral therapy and the prevalence of osteopenia and osteoporosis: a meta-analytic review. AIDS 2006; 20:2165-2174.
14. Hansen AB, Gerstoft J, Kronborg G, et al. Incidence of low and high-energy fractures in persons with and without HIV infection: a Danish population-based cohort study. AIDS 2012; 26:285-293.
15. Young B, Dao CN, Buchacz K, Baker R, Brooks JT, HIV Outpatient Study (HOPS) Investigators. Increased rates of bone fracture among HIV-infected persons in the HIV Outpatient Study (HOPS) compared with the US general population, 2000-2006. Clin Infect Dis 2011; 52:1061-1068.
16. Womack JA, Goulet JL, Gibert C, et al. Increased risk of fragility fractures among HIV infected compared to uninfected male veterans. PLoS ONE 2011; 6:e17217.
17. Sharma A, Shi Q, Hoover DR, et al. Increased fracture incidence in middle-aged HIV-infected and HIV-uninfected women: updated results from the Women's Interagency HIV Study. J Acquir Immune Defic Syndr 2015; 70:54-61.
18. Erlandson KM, Allshouse AA, Jankowski CM, et al. Risk factors for falls in HIV-infected persons. J Acquir Immune Defic Syndr 2012; 61:484-489.
19. Bacon MC, von Wyl V, Alden C, et al. The Women's Interagency HIV Study: an observational cohort brings clinical sciences to the bench. Clin Diagn Lab Immunol 2005; 12:1013-1019.
20. Lamb SE, Jorstad-Stein EC, Hauer K, Becker C, Prevention of Falls Network Europe Outcomes Consensus Group. Development of a common outcome data set for fall injury prevention trials: the Prevention of Falls Network Europe consensus. J Am Geriatr Soc 2005; 53:1618-1622.
21. Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas 1977; 1:385-401.
22. Tien PC, Schneider MF, Cox C, et al. Association of HIV infection with incident diabetes mellitus: impact of using hemoglobin A1C as a criterion for diabetes. J Acquir Immune Defic Syndr 2012; 61:334-340.
23. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med 1999; 130:461-470.
24. Khalsa A, Karim R, Mack WJ, et al. Correlates of prevalent hypertension in a large cohort of HIV-infected women: Women's Interagency HIV Study. AIDS 2007; 21:2539-2541.
25. Ruiz MA, Reske T, Cefalu C, Estrada J. Falls in HIV-infected patients: a geriatric syndrome in a susceptible population. J Int Assoc Provid AIDS Care 2013; 12:266-269.
26. Brown TT, Li X, Jacobson LP, et al. Balance confidence predicts falls better than physical function testing in HIV+ men. 22nd Conference on Retroviruses and Opportunistic Infections. 25 February 2015, Seattle, WA, USA. Abstract 786.
27. Tinetti ME, Speechley M, Ginter SF. Risk factors for falls among elderly persons living in the community. N Engl J Med 1988; 319:1701-1707.
28. Centers for Disease Control and Prevention. Self-reported falls and fall-related injuries among persons aged ≥65 years - United States, 2006. MMWR Morb Mortal Wkly Rep 2008; 57:225-229.
29. Tinetti ME. Clinical practice. Preventing falls in elderly persons. N Engl J Med 2003; 348:42-49.
30. Moore AA, Whiteman EJ, Ward KT. Risks of combined alcohol/medication use in older adults. Am J Geriatr Pharmacother 2007; 5:64-74.
31. Söderberg KC, Laflamme L, Möller J. Newly initiated opioid treatment and the risk of fall-related injuries. A nationwide, register-based, case-crossover study in Sweden. CNS Drugs 2013; 27:155-161.
32. Rolita L, Spegman A, Tang X, Cronstein BN. Greater number of narcotic analgesic prescriptions for osteoarthritis is associated with falls and fractures in elderly adults. J Am Geriatr Soc 2013; 61:335-340.
33. Ensrud KE, Blackwell T, Mangione CM, et al. Central nervous system active medications and risk for fractures in older women. Arch Intern Med 2003; 163:949-957.
34. Miller M, Stürmer T, Azrael D, Levin R, Solomon DH. Opioid analgesics and the risk of fractures in older adults with arthritis. J Am Geriatr Soc 2011; 59:430-438.
35. Teng Z, Zhu Y, Wu F, et al. Opioids contribute to fracture risk: a meta-analysis of 8 cohort studies. PLoS One 2015; 10:e0128232.
36. Inouye SK, Studenski S, Tinetti ME, Kuchel GA. Geriatric syndromes: clinical, research, and policy implications of a core geriatric concept. J Am Geriatr Soc 2007; 55:780-791.
37. Tinetti ME, Inouye SK, Gill TM, Doucette JT. Shared risk factors for falls, incontinence, and functional dependence: unifying the approach to geriatric syndromes. JAMA 1995; 273:1348-1353.
38. Goulet JL, Fultz SL, Rimland D, et al. Aging and infectious diseases: do patterns of comorbidity vary by HIV status, age, and HIV severity? Clin Infect Dis 2007; 45:1593-1601.
39. Vance DE. Aging with HIV: bringing the latest research to bear in providing care. Am J Nurs 2010; 110:42-47.
40. Kim DJ, Westfall AO, Chamot E, et al. Multimorbidity patterns in HIV-infected patients: the role of obesity in chronic disease clustering. J Acquir Immune Defic Syndr 2012; 61:600-605.
41. Collin F, Duval X, Le Moing V, et al. Ten-year incidence and risk factors of bone fractures in a cohort of treated HIV1-infected adults. AIDS 2009; 23:1021-1024.
42. Pasina L, Djade CD, Lucca U, et al. Association of anticholinergic burden with cognitive and functional status in a cohort of hospitalized elderly: comparison of the anticholinergic cognitive burden scale and anticholinergic risk scale: results from the REPOSI study. Drugs Aging 2013; 30:103-112.
43. Zia A, Kamaruzzaman S, Myint PK, Tan MP. Anticholinergic burden is associated with recurrent and injurious falls in older individuals. Maturitas 2015; pii: S0378-5122(15)30068-2.
44. Huang AR, Mallet L, Rochefort CM, Eguale T, Buckeridge DL, Tamblyn R. Medication-related falls in the elderly: causative factors and preventive strategies. Drugs Aging 2012; 29:359-376.
45. Leipzig RM, Cumming RG, Tinetti ME. Drugs and falls in older people: a systematic review and meta-analysis, I: psychotropic drugs. J Am Geriatr Soc 1999; 47:30-39.
46. Leipzig RM, Cumming RG, Tinetti ME. Drugs and falls in older people: a systematic review and meta-analysis, II: cardiac and analgesic drugs. J Am Geriatr Soc 1999; 47:40-50.
47. Woolcott JC, Richardson KJ, Wiens MO, et al. Meta-analysis of the impact of 9 medication classes on falls in elderly persons. Arch Intern Med 2009; 169:1952-1960.
48. Laflamme L, Monárrez-Espino J, Johnell K, Elling B, Möller J. Type, number or both? A population-based matched case-control study on the risk of fall injuries among older people and number of medications beyond fall-inducing drugs. PLoS One 2015; 10:e0123390.
49. Lai SW, Liao KF, Liao CC, Muo CH, Liu CS, Sung FC. Polypharmacy correlates with increased risk for hip fracture in the elderly: a population-based study. Medicine 2010; 89:295-299.
50. Tinetti ME, Kumar C. The patient who falls: 'It's always a trade-off'. JAMA 2010; 303:258-266.