کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5880765 1147629 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Original ArticleA Population-Based Cross-Sectional Study That Defined Normative Population Data for the Life-Space Mobility Assessment-Composite Score
ترجمه فارسی عنوان
مقیاس اصل مقاله ای مبتنی بر جمعیت بر اساس مقطعی که داده های جمعیتی حاکم بر آن را برای ارزیابی تحرک در محیط زندگی-کامپوزیت
کلمات کلیدی
ارزیابی تحرکات زندگی و فضا، وضعیت عملکردی نظرسنجی جمعیت داده های هنجاری
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی عصب شناسی
چکیده انگلیسی

ContextMobility is linked to health status and quality of life. Life-Space Mobility Assessment (LSMA; range 0-120) measures the spatial extent of people's excursion and physical support needs over the preceding month.ObjectivesThe aim of this study was to generate normative population data for an LSMA-Composite (LSMA-C) score, irrespective of age or health service contact and explore the LSM of people with diabetes, current asthma, arthritis, and osteoporosis.MethodsLSMA questions were included in the 2011 South Australian Health Omnibus Survey, a multistage, systematic, and clustered sample of household face-to-face interviews. Sociodemographic and clinical variables were explored in relation to LSMA scores using descriptive, univariable, and multivariable analyses and receiver operator curves.ResultsFor the 3032 respondents, the mean LSMA score was 98.3 (SD 20.3; median 100; interquartile range 34 [86-120]; range 6-120). Five percent of respondents scored <60, 11% scored between ≥60 and 79, 27% scored between ≥80 and 99, and the remainder scored between 100 and 120. After 55 years of age, LSMA-C scores declined, more so in females. In multivariable analysis, declining scores were associated with being female, being older, living in rural areas, lower educational attainment, not working, lower household income, and higher numbers of chronic conditions (R2 = 0.35, P < 0.001). The receiver operator curve demonstrated a highly specific but relatively insensitive measure.ConclusionHaving controlled for known confounders, the male/female difference cannot be easily explained. These data will help to contextualize studies in the future that use the LSMA-C score.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Pain and Symptom Management - Volume 49, Issue 5, May 2015, Pages 885-893
نویسندگان
, , , , , , , , , , , , ,