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1.
Perspect Public Health ; 143(2): 97-104, 2023 Mar.
Article in English | MEDLINE | ID: mdl-35369806

ABSTRACT

AIM: To evaluate a digital intervention to improve physical activity in people in the UK with a musculoskeletal condition delivered during movement restrictions brought about because of the COVID-19 pandemic. METHOD: Service evaluation data collected from 26,041 participants over 5 months was assessed against national datasets to understand the reach and representativeness of the digital physical activity intervention. Measures to restrict the movement and interaction of people were in place during these 5 months. Cross-sectional data from 2752 participants across different stages of the 12-week programme assessed levels of physical activity and the components of behaviour as defined by the COM-B model (Capability, Opportunity, Motivation = Behaviour). Regression analysis investigated the relationship between programme stage and physical activity and the components of behaviour. RESULTS: In comparison to the UK population of people with a musculoskeletal condition, the intervention participants were over-represented by females, White, and inactive people. A cross-sectional analysis suggested that the number of participants regularly active increased by programme stage. Scores for the behavioural components of automatic and reflective motivation, physical and psychological capability, and physical opportunity were also improved by programme stage. CONCLUSION: The service evaluation suggests that the digital intervention, designed to improve physical activity in people with a musculoskeletal condition, could be beneficial during measures to restrict movement to slow the spread of infectious disease in those who are already motivated to become or stay active.


Subject(s)
COVID-19 , Musculoskeletal Diseases , Female , Humans , COVID-19/epidemiology , Cross-Sectional Studies , Pandemics , Exercise , Musculoskeletal Diseases/epidemiology , Musculoskeletal Diseases/therapy , United Kingdom
2.
J Clin Microbiol ; 50(4): 1199-203, 2012 Apr.
Article in English | MEDLINE | ID: mdl-22278842

ABSTRACT

The echinocandin class of antifungal agents is considered to be the first-line treatment of bloodstream infections (BSI) due to Candida glabrata. Recent reports of BSI due to strains of C. glabrata resistant to both fluconazole and the echinocandins are of concern and prompted us to review the experience of two large surveillance programs, the SENTRY Antimicrobial Surveillance Program for the years 2006 through 2010 and the Centers for Disease Control and Prevention population-based surveillance conducted in 2008 to 2010. The in vitro susceptibilities of 1,669 BSI isolates of C. glabrata to fluconazole, voriconazole, anidulafungin, caspofungin, and micafungin were determined by CLSI broth microdilution methods. Fluconazole MICs of ≥64 µg/ml were considered resistant. Strains for which anidulafungin and caspofungin MICs were ≥0.5 µg/ml and for which micafungin MICs were ≥0.25 µg/ml were considered resistant. A total of 162 isolates (9.7%) were resistant to fluconazole, of which 98.8% were nonsusceptible to voriconazole (MIC > 0.5 µg/ml) and 9.3%, 9.3%, and 8.0% were resistant to anidulafungin, caspofungin, and micafungin, respectively. There were 18 fluconazole-resistant isolates that were resistant to one or more of the echinocandins (11.1% of all fluconazole-resistant isolates), all of which contained an acquired mutation in fks1 or fks2. By comparison, there were no echinocandin-resistant strains detected among 110 fluconazole-resistant isolates of C. glabrata tested in 2001 to 2004. These data document the broad emergence of coresistance over time to both azoles and echinocandins in clinical isolates of C. glabrata.


Subject(s)
Antifungal Agents/pharmacology , Candida glabrata/drug effects , Candidemia/microbiology , Drug Resistance, Multiple, Fungal/genetics , Echinocandins/pharmacology , Fluconazole/pharmacology , Adult , Aged , Candida glabrata/genetics , Candida glabrata/isolation & purification , Female , Fungal Proteins/genetics , Glucosyltransferases/genetics , Humans , Male , Microbial Sensitivity Tests , Middle Aged , Mutation, Missense , Sentinel Surveillance , Young Adult
3.
Int J STD AIDS ; 22(4): 199-203, 2011 Apr.
Article in English | MEDLINE | ID: mdl-21515751

ABSTRACT

Cryptococcal meningitis (CM) is a major cause of death among HIV-infected persons in sub-Saharan Africa. We conducted a study to describe the long-term outcomes during the pre-antiretroviral post-ART therapy period. Enrolled cases were those detected through population-based surveillance in Gauteng Province, South Africa, and diagnosed during March-November 2002 and July-September 2003 from eight large hospitals representing academic, provincial and rural settings. Of 1089 case-patients diagnosed with CM, 721 (70%) survived to discharge. Among the 256 with follow-up information, 154 (60%) were established to have died, 44% of whom died as outpatients. Overall, the 14- and 90-day survival post-diagnosis was 68% and 41%, respectively. On Cox proportional hazards multivariable analysis, severe disease was associated with shorter survival time; having received any antifungal treatment for the cryptococcal episode was associated with increased survival time at follow-up. Although most patients in this cohort survived the initial hospitalization, only 41% were still alive three months after diagnosis, with nearly half of deaths occurring outside a hospital. These data are an important baseline from which to measure effectiveness of public health management of CM in South Africa.


Subject(s)
AIDS-Related Opportunistic Infections/mortality , Anti-HIV Agents/therapeutic use , HIV Infections/complications , HIV Infections/mortality , Meningitis, Cryptococcal/mortality , AIDS-Related Opportunistic Infections/drug therapy , AIDS-Related Opportunistic Infections/microbiology , Adult , Antifungal Agents/therapeutic use , Delivery of Health Care , Female , Fluconazole , HIV Infections/drug therapy , Humans , Male , Meningitis, Cryptococcal/complications , Meningitis, Cryptococcal/drug therapy , Meningitis, Cryptococcal/microbiology , Proportional Hazards Models , South Africa/epidemiology , Survival Analysis , Survival Rate , Treatment Outcome
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