Prevalence and causes of blindness and low vision among adults in Fiji.

BACKGROUND: To estimate the prevalence and causes of blindness and low vision among adults aged ≥40 years in Fiji. DESIGN: Population-based cross-sectional study. PARTICIPANTS: Adults aged ≥40 years in Viti Levu, Fiji. METHOD: A population-based cross-sectional survey used multistage cluster random sampling to identify 34 clusters of 40 people. A cause of vision loss was determined for each eye with presenting vision worse than 6/18. MAIN OUTCOME MEASURES: Blindness (better eye presenting vision worse than 6/60), low vision (better eye presenting vision worse than 6/18, but 6/60 or better). RESULTS: Of 1892 people enumerated, 1381 participated (73.0%). Adjusting sample data for ethnicity, gender, age and domicile, the prevalence of blindness was 2.6% (95% confidence interval 1.7, 3.4) and low vision was 7.2% (95% confidence interval 5.9, 8.6) among adults aged ≥40 years. On multivariate analysis, being ≥70 years was a risk factor for blindness, but ethnicity, gender and urban/rural domicile were not. Being Indo-Fijian, female and older were risk factors for vision impairment (better eye presenting vision worse than 6/18). Cataract was the most common cause of bilateral blindness (71.1%). Among participants with low vision, uncorrected refractive error caused 63.3% and cataract was responsible for 25.0%. CONCLUSION: Strategies that provide accessible cataract and refractive error services producing good quality outcomes will likely have the greatest impact on reducing vision impairment.

The association of diabetes and BMI among Melanesian and Indian Fijians aged ≥ 40 years.

The present study examines the association of diabetes with BMI (kg/m(2)) in Asian-Indian and Melanesian Fijian populations sharing a common environment. A population-based survey was used to investigate the risk of diabetes (defined by glycosylated Hb concentration ≥ 6·5 % among participants who denied previous diagnosis of the disease by a medical practitioner) by sex, ethnicity and strata of BMI in a series of age-adjusted logistic regression models. Ethnicity and BMI interactions were compared using WHO and empirically derived BMI cut-off points. Indians had a greater risk (BMI and age adjusted) of undetected diabetes than Melanesians in both males (OR 2·99, 95 % CI 1·73, 5·17; P < 0·001) and females (OR 2·26, 95 % CI 1·56, 3·28; P < 0·001). BMI ≥ 25 to < 30 and ≥ 30 kg/m(2) conferred a higher risk of diabetes compared with a BMI ≥ 18·5 to < 25 kg/m(2). Risk was higher for males with a BMI ≥ 25 to < 30 kg/m(2) (OR 2·35, 95 % CI 1·24, 4·46; P = 0·007) and BMI ≥ 30 kg/m(2) (OR 6·08, 95 % CI 3·06, 12·07; P < 0·001) than for females with the same BMI (OR 1·85, 95 % CI 1·11, 3·08; P = 0·027 and OR 2·10, 95 % CI 1·28, 3·44; P = 0·002, respectively). However, the threshold that appeared to differentiate higher risk varied by ethnicity and sex. For Melanesians, BMI thresholds suggested were 25 kg/m(2) for males and 32 kg/m(2) for females. For Indo-Fijians, these were 24 and 22 kg/m(2) for males and females, respectively. Disaggregating by ethnicity and sex, and applying specific evidence-based thresholds, may render BMI a more discriminating tool for assessing the risk of developing diabetes among Fiji adults.