Socioeconomic conditions of traditional fishermen of Vitava village in Thane district

Maharashtra stands third in fish production in India, with an estimated annual landings of 3.32 lakhs tonnes (1986-87). About 45% of the fishermen are directly involved in fishing. Mechanisation has boosted fish production resulting in gainful employment and higher incomes to fishermen. However, traditional fishermen along Thane creek and who entirely depend on fishing for their livelihood are comparatively poor due to their dependence on subsistence fishing and reduction of fish stock due to pollution of the creek. Conservation of the resources, proper monitoring of pollution and financial assistance and guidance will help the fishermen improve their living conditions.

Socioeconomic assessment of shrimp farming in relation to local livelihoods in the south-west coastal Bangladesh

Nine different categories of stakeholders in shrimp farming industry ·were assessed to show the socioeconomic impact of shrimp farming in south-west Bangladesh. Among all the stakeholders the shrimp farmer's average own land was 4 ha whereas the seed collectors and faria's had lowest amount of average land, 0.1 and 0.5 ha respectively. The shrimp farming positively impacted to the livelihood of stakeholders. Income of the coastal people, sanitation, working facilities of women, employment, health condition and the literacy rate increased due to shrimp farming. On the other hand shrimp farming had negative impact on the rice production, livestock, drinking water supply, and social conflict and violence had increased due to shrimp farming. There were internal conflicts between different stakeholders; the farias conflict with the depot owners and shrimp farmers, marginal farmers' conflict with the rich shrimp farmers about leasing lands and saline water control, the rice farmers conflicts with the shrimp farmers about agricultural crop production.

Socioeconomic effects of intensive cage culture

The paper discusses the socioeconomic effects of intensive aquaculture which is in conflict with other forms of coastal development, such as industrial development, natural fisheries, tourism and recreation, and nature conservation.

Socioeconomic monitoring for Vidathaltivu village in Mannar Region, Northern Province, Sri Lanka, 3-11 March, 2015

This report was based on fieldwork conducted by trainees at the Socio-economic Monitoring (SocMon) workshop held at Vidathaltivu, Mannar Region. Topics included: community infrastructure; coastal and marine activities; and governance of marine and coastal areas

Sociocultural and socioeconomic influences on type 2 diabetes risk in overweight/obese African-American and Latino-American children and adolescents.

PURPOSE: It is unclear whether sociocultural and socioeconomic factors are directly linked to type 2 diabetes risk in overweight/obese ethnic minority children and adolescents. This study examines the relationships between sociocultural orientation, household social position, and type 2 diabetes risk in overweight/obese African-American (n = 43) and Latino-American (n = 113) children and adolescents. METHODS: Sociocultural orientation was assessed using the Acculturation, Habits, and Interests Multicultural Scale for Adolescents (AHIMSA) questionnaire. Household social position was calculated using the Hollingshead Two-Factor Index of Social Position. Insulin sensitivity (SI), acute insulin response (AIRG) and disposition index (DI) were derived from a frequently sampled intravenous glucose tolerance test (FSIGT). The relationships between AHIMSA subscales (i.e., integration, assimilation, separation, and marginalization), household social position and FSIGT parameters were assessed using multiple linear regression. RESULTS: For African-Americans, integration (integrating their family's culture with those of mainstream white-American culture) was positively associated with AIRG (β = 0.27 ± 0.09, r = 0.48, P < 0.01) and DI (β = 0.28 ± 0.09, r = 0.55, P < 0.01). For Latino-Americans, household social position was inversely associated with AIRG (β = -0.010 ± 0.004, r = -0.19, P = 0.02) and DI (β = -20.44 ± 7.50, r = -0.27, P < 0.01). CONCLUSIONS: Sociocultural orientation and household social position play distinct and opposing roles in shaping type 2 diabetes risk in African-American and Latino-American children and adolescents.