scholarly journals Factors associated with illegal fishing practices in three perennial reservoirs in Sri Lanka

2018 ◽  
Vol 30 (1) ◽  
pp. 1
Author(s):  
E. S. Wickremasinghe ◽  
C. M. B. Dematawewa ◽  
U. Edirisinghe
2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Celeste Marsh ◽  
Paul A. Agius ◽  
Gamini Jayakody ◽  
Roshan Shajehan ◽  
Chandima Abeywickrema ◽  
...  

2019 ◽  
Author(s):  
A.A. Nilanga Nishad ◽  
S.A. Hewage ◽  
K. Arulmoly ◽  
M.S. Amaratunge ◽  
J de Silva ◽  
...  

AbstractOut of 39 billion people who are blind around the world, 20 billion (51.3%) is due to cataract, which is preventable. This study intended to assess the prevalence and factors associated with cataract among elderly in a divisional secretariat area in Sri Lanka. This community based cross sectional study assessed randomly selected470 adults over 60 years of age. Diagnosis of cataract was made by a slit lamp examination by medical officers, and classified according to Oxford Lens Opacity Classification system (LOCS III). Majority was between 60-69 age groups and 71% was females. The prevalence of cataract was estimated to be 80.6% including operated eye and 73.6% excluding the operated eye, with a female preponderance in lower age categories. Commonest type of cataract was the nuclear type (n=422; 44.9%), with a majority in grade 2 (218; 23.2%). The prevalence of cataract surgery in the diseased population was as low as 7%. Cataract leading to blindness is very prevalent among adults over 60 years of age in the studied area. Females tend to develop the disease at an early age than males. These findings warrant screening programme for elderly at community level, targeting females at a younger age than males. Future studies are recommended to assess the coverage and barriers for cataract surgeries at national level, which would be immensely useful in planning and improving health services.


2021 ◽  
Vol 4 (1) ◽  
pp. 10
Author(s):  
Bryan L. Bitantos ◽  
Lovena Grace Amor T. Dela Cruz ◽  
Jay Pril M. Natuil ◽  
Wellmor John R. Sabado

Dumanquillas Bay is a body of saltwater and the major source of food located in the Southern Mindanao. It has been observed that marine resources and fish catch in the area are declining. This study assumed that fishing practices affect the decline of marine and fish catch in the bay. A study on the documentation of fishing practices in the area is reported here. Key informant interview (KII), focus group discussion, direct observation and document archival were used. Twenty-three (23) fishing practices were observed in the area. Based on R.A. 10654 or the Philippine Fisheries Code, five (5) fishing practices were identified in the bay which are illegal. These are “pahulbot sa lalum”, “pahulbot sa mabaw”, “panubli”, “panguryente” and “troll” that destroys sea grasses, coral reefs and the sea beds. The illegal fishing practices identified poses a threat to the marine resources. It implies weak implementation of fishing policies among the LGU’s and other concerned government institutions and NGA’s. Capacity building, CEPA campaign and committed implementation of the Philippine Fisheries Code (R.A. 10654) should be implemented by the PAMB and stakeholders in the community to manage the remaining coastal marine resources thereby uplifting the socio-economic status of the coastal community and achieve sustainability.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Ishara P. Premathilake ◽  
Praveena Aluthbaduge ◽  
Channa P. Senanayake ◽  
Renuka Jayalatharachchi ◽  
Sirithilak Gamage ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nirmala Rathnayake ◽  
Gayani Alwis ◽  
Janaka Lenora ◽  
Sarath Lekamwasam

Abstract Background Menopause associated low serum estradiol marks varieties of derangements in muscle mass and functions leading to sarcopenia. This cross-sectional study was carried out to examine the factors associated with measures of sarcopenia; skeletal muscle mass (SMM), muscle strength and physical performance (PP) in a group of premenopausal (PrMW) and postmenopausal women (PMW) selected from Sri Lanka. Methods Randomly selected 184 PrMW and 166 PMW from Galle district, Sri Lanka were studied. SMM was measured with duel energy X ray absorptiometry and relative appendicular SMM index (RSMI; kg/m2) was calculated. Other measurements made include handgrip strength (HGS; kg) and gait speed (GS; m/s), anthropometric indices, consumption of macro and micronutrients, and pattern of physical activities (PA). A serum sample was analyzed for fasting insulin, serum estradiol and vitamin D. Variables which significantly correlated with RSMI, HGS and GS of PrMW and PMW were separately entered into multiple linear regression models to extract the associated factors. Results Mean (SD) age of PrMW and PMW were 42.4 (6.0) and 55.8 (3.8) years respectively. In the regression analysis, RSMI in PrMW showed significant associations with body mass index (BMI), HGS, total-body-fat-mass (TBFM) and weight (adjusted R2 = 0.85) and in PMW with BMI, weight, TBFM, hip-circumference and fasting insulin (adjusted R2 = 0.80). BMI showed the strongest association with RSMI in both PrMW (r = 0.87, R2 = 0.76) and in PMW (r = 0.87, R2 = 0.76). HGS in PrMW showed significant associations with appendicular SMM (ASMM), total-body-bone-mineral-content, vigorous PA score, age and weight (adjusted R2 = 0.33) and in PMW with ASMM and height (adjusted R2 = 0.23). ASMM showed the strongest association with HGS in both PrMW (r = 0.44, R2 = 0.20) and PMW (r = 0.44, R2 = 0.20). GS in PrMW showed significant associations with height, BMI and energy consumption (adjusted R2 = 0.13) while in PMW, with carbohydrate consumption and total-body-bone-mineral-density (adjusted R2 = 0.09). While in PrMW, height showed the strongest association with GS (r = 0.28, R2 = 0.08) in PMW, it was carbohydrate consumption (r = 0.24, R2 = 0.06). Conclusions Factors that are associated with different measures of sarcopenia are not uniform and vary widely from anthropometry to nutrient intake indicating that these measures are somewhat independent and are governed by different factors.


Author(s):  
Shashanka Indeevara Rajapakse Rajapakse Mudiyanselage ◽  
Lakmali Amarasiri ◽  
Duminda Yasaratne ◽  
Janith Warnasekara ◽  
Suneth Agampodi

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