| Literature DB >> 31384724 |
Niven Teh Chong Seong1, Azhany Yaakub1, Rohana Abdul Jalil2, Karunakar Tirmandas Vn3, Thayanithi A/P Sandragasu3, Jelinar Binti Mohd Noor3, Norhalwani Bt Husain4, Zuraidah Binti Mustari5, Siti Azrin Ab Hamid6, Ahmad B Mt Saad7, Liza-Sharmini At8.
Abstract
OBJECTIVE: To determine the association between physical activity and severity of primary angle closure glaucoma in Malay patients.Entities:
Keywords: Advanced Glaucoma Intervention Study score; Malay; physical activity; primary angle closure glaucoma; severity
Year: 2019 PMID: 31384724 PMCID: PMC6664631 DOI: 10.1177/2515841419864855
Source DB: PubMed Journal: Ther Adv Ophthalmol ISSN: 2515-8414
Demographic data of PACG patients according to severity.
| Variables | PACG
( | |||
|---|---|---|---|---|
| Mild ( | Moderate ( | Severe ( | ||
| Mean age (years) | 65.3 | 68.4 | 69.4 | 0.047[ |
| Sex ( | ||||
| Male | 11 (25.0%) | 13 (29.5%) | 20 (45.5%) | 0.116[ |
| Female | 39 (36.8%) | 37 (34.9%) | 30 (28.3%) | |
| Mean BMI (kg/m2) | 24.3 | 24.9 | 25.3 | 0.416[ |
| Mean duration of PACG (years) | 5.8 | 7.0 | 6.6 | 0.389[ |
| Educational level ( | 0.001[ | |||
| No formal education | 6 (24.0%) | 3 (12.0%) | 16 (64.0%) | |
| Primary | 18 (26.9%) | 27 (40.3%) | 22 (32.8%) | |
| Secondary | 19 (38.8%) | 18 (36.7%) | 12 (24.5%) | |
| Tertiary | 7 (77.8%) | 2 (22.2%) | 0 (0.0%) | |
| Systemic disease ( | ||||
| Diabetes mellitus | 14 (28.6%) | 18 (36.7%) | 17 (34.7%) | 0.674[ |
| Hypertension | 26 (31.0%) | 32 (38.1%) | 26 (31.0%) | 0.378[ |
| Hyperlipidaemia | 17 (31.5%) | 17 (31.5%) | 20 (37.0%) | 0.771[ |
| Ischaemic heart disease | 3 (23.1%) | 4 (30.8%) | 6 (46.2%) | 0.555[ |
| Myopia ( | 6 (35.3%) | 6 (35.3%) | 5 (29.4%) | 0.936[ |
| Family history of glaucoma (n, %) | 5 (50.0%) | 2 (20.0%) | 3 (30.0%) | 0.472[ |
| APAC | 10 (55.6%) | 6 (33.3%) | 2 (11.1%) | 0.048[ |
APAC, acute presentation of angle closure; BMI, body mass index; PACG, primary angle closure glaucoma.
Pearson chi-square test (p < 0.05 is significant).
One-way analysis of variance test (p < 0.05 is significant).
Figure 1.Distribution of physical activity according to severity of PACG.
Association of physical activity component based on IPAQ and severity of PACG.
| Physical activity | PACG
( | |||
|---|---|---|---|---|
| Mild ( | Moderate ( | Severe ( | ||
| Mean MET-minute/week | 2668 | 2181 | 1421 | 0.031[ |
| Mean days per week (days) | 6 | 5 | 4 | 0.014[ |
| Mean minutes per day (mins) | 100 | 73 | 50 | 0.003[ |
IPAQ, International Physical Activity Questionnaire; MET, measurement of energy requirement; PACG, primary angle closure glaucoma.
One-way analysis of variance test (p < 0.05 is significant).
Figure 2.Correlation between physical activity (PA) parameters and AGIS score: (a) duration of PA in days per week, (b) duration of PA in minutes per day and (c) MET-min/week score.
Multiple linear regression analysis on factors affecting AGIS score.
| Variables | Single linear regression | Multiple linear regression | ||
|---|---|---|---|---|
| Physical activity | –4.584 (–7.836, –1.331) | 0.006 | –3.284 (–6.473, –0.095) | 0.044 |
| Age | 0.180 (0.049, 0.311) | 0.007 | 0.017 (–0.130, 0.164) | 0.823 |
| Education level | –3.119 (–4.457, –1.781) | < 0.001 | –2.764 (–4.319, –1.210) | 0.001 |
Backward multiple linear regression method applied. Model assumption is fulfilled. There was no interaction among independent variables. No multicollinearity detected. CI, confidence interval.
Crude regression coefficient.
Adjusted regression coefficient.