Objectives: We assessed the impact of musculoskeletal diseases, depressive mental state, and hypertension on locomotive syndrome, a condition of reduced mobility requiring nursing care. Since locomotive syndrome is a major public health issue that needs attention, its relationship with functional inconvenience in performing daily activities was also investigated.
Methods: We conducted a cross-sectional study using an Internet panel survey, comprising 747 persons aged 30–90 years. Demographics, personal medical history, and daily activity data were assessed. The 25-question Geriatric Locomotive Function Scale was used to diagnose locomotive syndrome. Stepwise linear regression analysis and logistic regression analysis were conducted to evaluate the association between locomotive syndrome, musculoskeletal diseases, and functional inconvenience.
Results: Aging, osteoporosis, and low back pain significantly increased the risk of locomotive syndrome, followed by knee osteoarthritis and lumbar spinal stenosis. Locomotive syndrome was significantly related to depressive mental state and hypertension, and led to functional inconvenience in Seiza sitting, cleaning, shopping, and strolling.
Conclusion: Locomotive syndrome was associated with functional inconvenience in performing common daily activities involving the lower extremities and spine. Osteoporosis and aging were significantly associated with locomotive syndrome. The risk of locomotive syndrome may be decreased by treating comorbid osteoporosis and instituting exercise and diet-related modifications. 相似文献
AbstractBackground: Little is known regarding the long-term outcomes of offsprings to non-diabetic mothers with family history of diabetes mellitus (FHDM).Objective: The aim of the study was to determine whether being born to a non-diabetic mother with FHDM increases the risk for long-term endocrine morbidity.Methods: This is a population-based cohort study, comparing long-term endocrine morbidity between offspring born to non-diabetic mothers with and without FHDM. The Kaplan–Meier survival curve was used to compare cumulative morbidity incidence. Cox proportional hazards model was performed to control for confounders.Results: During the study period, 208,728 children met the inclusion criteria. Using a Kaplan–Meier survival curve, offspring born to non-diabetic mothers with a FHDM had higher cumulative incidence of endocrine morbidity compared to their counterparts without FHDM (Log rank test p?=?.014). Using a Cox model, controlling for confounders, being born to a non-diabetic mother with FHDM was an independent risk factor for long-term endocrine morbidity of the offspring (adjusted HR = 1.24, 95%CI 1.001–1.54; p?=?.043).Conclusion: Being born to a non-diabetic mother with a FHDM is independently associated with higher risk for long-term endocrine morbidity of the offspring. 相似文献
Background and aimsDiabetes can often remain undiagnosed or unregistered in administrative databases long after its onset, even when laboratory test results meet diagnostic criteria. In the present work, we analyse healthcare data of the Veneto Region, North East Italy, with the aims of: (i) developing an algorithm for the identification of diabetes from administrative claims (4,236,007 citizens), (ii) assessing its reliability by comparing its performance with the gold standard clinical diagnosis from a clinical database (7525 patients), (iii) combining the algorithm and the laboratory data of the regional Health Information Exchange (rHIE) system (543,520 subjects) to identify undiagnosed diabetes, and (iv) providing a credible estimate of the true prevalence of diabetes in Veneto.Methods and resultsThe proposed algorithm for the identification of diabetes was fed by administrative data related to drug dispensations, outpatient visits, and hospitalisations. Evaluated against a clinical database, the algorithm achieved 95.7% sensitivity, 87.9% specificity, and 97.6% precision. To identify possible cases of undiagnosed diabetes, we applied standard diagnostic criteria to the laboratory test results of the subjects who, according to the algorithm, had no diabetes-related claims. Using a simplified probabilistic model, we corrected our claims-based estimate of known diabetes (6.17% prevalence; 261,303 cases) to account for undiagnosed cases, yielding an estimated total prevalence of 7.50%.ConclusionWe herein validated an algorithm for the diagnosis of diabetes using administrative claims against the clinical diagnosis. Together with rHIE laboratory data, this allowed to identify possibly undiagnosed diabetes and estimate the true prevalence of diabetes in Veneto. 相似文献
The objective was to evaluate whether sodium intake, assessed with the gold standard 24-h urinary collections, was related to long-term incidence of death, cardiovascular disease (CVD) and diabetes mellitus (DM). 相似文献