AIM: The objective of this study is to evaluate the impact of the MCO on the management of glaucoma patients in a suburban tertiary hospital.
METHODOLOGY: We conducted a cross-sectional study of 194 glaucoma patients between June 2020 and August 2020 in the glaucoma clinic at Hospital Universiti Sains Malaysia. We evaluated the patients' treatment, visual acuity, intraocular pressure (IOP) measurements, and potential signs of progression. We compared the results with those of their last clinic visits prior to the MCO.
RESULTS: We studied 94 (48.5%) male and 100 (51.5%) female glaucoma patients with a mean age of 65 ± 13.7. The mean duration between pre-MCO and post-MCO follow-up was 26.4 ± 6.7 weeks. There was a significant increase in the number of patients with deterioration of visual acuity, and one patient lost his vision after the MCO. There was also a significant elevation of the mean IOP of the right eye: pre-MCO, 16.7 ± 7.8 mmHg, compared to post-MCO, 17.7 ± 8.8 mmHg (p = 0.027). The cup-to-disc ratio (CDR) for the right eye increased significantly from pre-MCO, 0.72 ± 0.18, to 0.74 ± 0.19 post-MCO (p < 0.001). However, there were no significant changes in IOP or CDR in the left eye. Twenty-four patients (12.4%) missed medications during the MCO period, and 35 patients (18%) required additional topical medications due to the progression of the disease. Only one patient (0.5%) required admission due to uncontrolled IOP.
CONCLUSION: Lockdown, as a preventive step in the COVID-19 pandemic, indirectly caused the progression of glaucoma and uncontrolled IOP.
METHODS: This randomized controlled trial was conducted to observe the effect of WAAP on asthma control and quality of life using the Asthma Control Questionnaire and Pediatric Asthma Quality of Life Questionnaire (PAQLQ) at baseline and after 3 months. A repeated measure analysis of variance was used to analyze the mean score difference between the two groups.
RESULTS: There was no significant difference in mean score for asthma control at baseline between groups (F[degree of freedom (df)]=1.17 [1, 119], P=0.282). However, at 3 months, a significant difference in mean scores between groups was observed (F[df]=7.32 [1, 119], P=0.008). The mean±standard deviation (SD) scores in the intervention and control groups were 0.96±0.53 and 1.21±0.49, respectively. For the analysis of the PAQLQ, no significant difference was observed in the mean score for the quality of life baseline in both groups. There were significant mean score changes for the quality of life (F[df]=10.9 [1, 119], P=0.001) at 3 months follow-up, where those in the intervention group scored a mean±SD score of 6.19±0.45, and those in the control group scored 5.94±0.38. A time-group interaction analysis using repeated-measures analysis of variance showed significant differences in mean score changes (F[df]=5.03 [1, 116], P=0.027) and (F[df]=11.55 [1, 116], P=0.001) where a lower mean score was observed in the intervention group, indicating better asthma control and quality of life, respectively. A significant (P<0.001) negative Pearson correlation between asthma control and quality of life (-0.65) indicated a moderate correlation.
CONCLUSION: WAAP, along with standard asthma treatment, improves asthma care.
DESIGN: We analysed data of children who participated in the Health Survey for England from 1997 to 2016 (n=34 235). This repeated cross-sectional survey reported weight loss attempts and sociodemographic characteristics. Body weight and height were measured by trained interviewers, and body mass index for age z-score was calculated. Multivariable logistic regression was used to investigate the sociodemographic determinants.
SETTING: England.
PARTICIPANTS: Children (8-17 years).
MAIN OUTCOME MEASURES: Weight loss attempts by year, age group, gender, BMI for age z-score, ethnicity and household income.
RESULTS: The prevalence of reported weight loss attempts increased significantly from 21.4% (1997-1998) to 26.5% (2015-2016). The increase was significant for boys, older children, Asian children, children from lower income households and in all categories of BMI for age z-score. Significant predictors of weight loss attempts included having overweight (8-12 years old, OR 4.01 (%CI 3.47 to 4.64); 13-17 years old, OR 1.96 (%CI 1.58 to 2.42)) or obesity (8-12 years old, OR 13.57 (%CI 11.94 to 15.43); 13-17 years old, OR 4.72 (%CI 3.94 to 5.66)) as well as being older, girls, from ethnic minority groups or low household income.
CONCLUSION: The prevalence of reported weight loss attempts among children is increasing at a faster rate than the rise in excess weight and includes an increasing proportion of children with a 'healthy' weight. The increase in the prevalence of reported weight loss attempts among children is greatest among subgroups with lower baseline prevalence.