13 research outputs found
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Oral presentation at National Seminar on “Agriculture Resource Management for Sustainability and Eco-Restoration” at Bikaner, India, March 11-13, 2016.Not AvailableNot Availabl
A record review of reported musculoskeletal pain in an Ontario long term care facility
<p>Abstract</p> <p>Background</p> <p>Musculoskeletal (MSK) pain is one of the leading causes of chronic health problems in people over 65 years of age. Studies suggest that a high prevalence of older adults suffer from MSK pain (65% to 80%) and back pain (36% to 40%). The objectives of this study were:</p> <p>1. To investigate the period prevalence of MSK pain and associated subgroups in residents of a long-term care (LTC) facility.</p> <p>2. To describe clinical features associated with back pain in this population.</p> <p>3. To identify associations between variables such as age, gender, cognitive status, ambulatory status, analgesic use, osteoporosis and osteoarthritis with back pain in a long-term care facility.</p> <p>Methods</p> <p>A retrospective chart review was conducted using a purposive sampling approach of residents' clinical charts from a LTC home in Toronto, Canada. All medical records for LTC residents from January 2003 until March 2005 were eligible for review. However, facility admissions of less than 6 months were excluded from the study to allow for an adequate time period for patient medical assessments and pain reporting/charting to have been completed. Clinical data was abstracted on a standardized form. Variables were chosen based on the literature and their suggested association with back pain and analyzed via multivariate logistic regression.</p> <p>Results</p> <p>140 (56%) charts were selected and reviewed. Sixty-nine percent of the selected residents were female with an average age of 83.7 years (51–101). Residents in the sample had a period pain prevalence of 64% (n = 89) with a 40% prevalence (n = 55) of MSK pain. Of those with a charted report of pain, 6% (n = 5) had head pain, 2% (n = 2) neck pain, 21% (n = 19) back pain, 33% (n = 29) extremity pain and 38% (n = 34) had non-descriptive/unidentified pain complaint. A multivariate logistic regression analysis revealed that osteoporosis was the only significant association with back pain from the variables studied (P = 0.001).</p> <p>Conclusion</p> <p>Residents with back pain represent 13.6% (n = 19) of the sample population studied. This is as frequent as other serious conditions commonly found in LTC. Of the variables studied, only osteoporosis and the self-report of back pain were found to be associated. The back pain resident in this facility can typically be described as female, osteoporotic, with mild to moderate dementia, an independent or assisted walker having low levels of depression. Further research using other sites is needed to determine the overall prevalence of this condition and its impact on quality of life issues. The results of this study should inform future research in this area.</p
QTL for nodal root angle in sorghum (Sorghum bicolor L. Moench) co-locate with QTL for traits associated with drought adaptation
Nodal root angle in sorghum influences vertical and horizontal root distribution in the soil profile and is thus relevant to drought adaptation. In this study, we report for the first time on the mapping of four QTL for nodal root angle (qRA) in sorghum, in addition to three QTL for root dry weight, two for shoot dry weight, and three for plant leaf area. Phenotyping was done at the six leaf stage for a mapping population (n = 141) developed by crossing two inbred sorghum lines with contrasting root angle. Nodal root angle QTL explained 58.2% of the phenotypic variance and were validated across a range of diverse inbred lines. Three of the four nodal root angle QTL showed homology to previously identified root angle QTL in rice and maize, whereas all four QTL co-located with previously identified QTL for stay-green in sorghum. A putative association between nodal root angle QTL and grain yield was identified through single marker analysis on field testing data from a subset of the mapping population grown in hybrid combination with three different tester lines. Furthermore, a putative association between nodal root angle QTL and stay-green was identified using data sets from selected sorghum nested association mapping populations segregating for root angle. The identification of nodal root angle QTL presents new opportunities for improving drought adaptation mechanisms via molecular breeding to manipulate a trait for which selection has previously been very difficult