A study on contraceptive use among married women of reproductive age group in a rural area of Tamilnadu, India

Background: India was the first country in the world to formulate the national family planning programme in the year 1952 with the objective of “reducing the birth rate to the extent necessary to stabilize the population at a level consistent with requirement of national economy. The objective of this study was to study contraceptive use among married women of reproductive age group in a rural area of Tamilnadu.Methods: A cross sectional study was conducted from December 2014 to January 2015 in Sree Mookambika institute of medical Sciences, Kulasekharam among the married women in eligible couples group attending the hospital. Sample size was calculated to be 84. Inclusion criteria: married couple with female in age group of 15 - 45 years and sexually active and having the ability to communicate in local language.Results: The mean age was 30.95 years (SD = 6.421). Formal education was received by 100% women. Majority are Christians (48.8%) followed by Hindu (46.4%) and Muslim (4.8%). Among the respondents (n = 84), 33.7%, 41.7%, 2.4% and 22.6% had parity of 1, 2, 3 or more and none respectively Most of the women (71.4%) belonged to middle class group. 94% of women were aware of sterilization. This study shows a significant association between number of children and contraception usage (p<0.05). As parity increases contraception usage rate increases. Similar association is seen between number of male children and contraception practice (0.006). Also acceptance for permanent method of family planning increased with increasing parity (0.00) and number of male children (0.04).Conclusions: The study reveals good knowledge and favorable attitude of rural couples towards contraception. Contraceptive knowledge and practice was influenced by exposure to family planning messages

Validation of tuna Potential Fishing Zone advisories of Lakshadweep with a note on tuna habitat preferences and biology

Validation of tuna Potential Fishing Zone advisories of Lakshadweep with a note on tuna habitat preferences and biolog

Two instances of gonadal abnormalities in Indian mackerel

The Indian mackerel Rastrelliger kanagurta is known to be dioecious with male and female gonads in separate individuals. However, gonadal abnormalities such as hermaphroditism and other aberrations have been observed in a few instances. Gonadal abnormalities in mackerel observed during regular biological sampling from fish samples collected from the landing centre is reported here. For the histological analysis, the gonads were fixed in 10% neutral buffered formalin, dehydrated in ethanol series and the cleared samples were embedded in paraffin wax and made into blocks

Microplastics in the gut of anchovies caught from the mud bank area of Alappuzha, Kerala

Marine litter or the non-degradable wastes generated due to anthropogenic activities, has been recognized as one of the major threats to coastal marine ecosystem in the 21st century. These originate mainly from land and enter the aquatic ecosystem through land runoff and also when they are discarded by human beings directly into the coastal waters

National Marine Debris Management Strategy to conserve marine ecosystems

Marine debris which is defined as any persistent,manufactured or processed solid material discarded,disposed of or abandoned in the marine and coastalenvironment is one of the most pervasive, yetpotentially solvable, pollution affecting the world’soceans, coastal ecosystems and rivers. Whereasimpacts of most anthropogenic activities are usuallyfound near the point source, marine debris has beenfound to impact even distant locations, oftenaffecting uninhabited areas also. According toUnited Nations Joint Group of Experts on theScientific Aspects of Marine EnvironmentalProtection (GESAMP), 60 to 80%, of the global litterfound in the coastal and marine ecosystems hasoriginated from land and only the rest from seabased activities. The slow degradable nature ofmarine litter and the potential to pollute all spheresof oceans irrespective of point source has raisedthe alarm bells

National Marine Debris Management Strategy to conserve marine ecosystems

Marine debris which is defined as any persistent,manufactured or processed solid material discarded,disposed of or abandoned in the marine and coastalenvironment is one of the most pervasive, yetpotentially solvable, pollution affecting the world’soceans, coastal ecosystems and rivers. Whereasimpacts of most anthropogenic activities are usuallyfound near the point source, marine debris has beenfound to impact even distant locations, oftenaffecting uninhabited areas also. According toUnited Nations Joint Group of Experts on theScientific Aspects of Marine EnvironmentalProtection (GESAMP), 60 to 80%, of the global litterfound in the coastal and marine ecosystems hasoriginated from land and only the rest from seabased activities. The slow degradable nature ofmarine litter and the potential to pollute all spheresof oceans irrespective of point source has raisedthe alarm bells

Overfishing and Climate Drives Changes in Biology and Recruitment of the Indian Oil Sardine Sardinella longiceps in Southeastern Arabian Sea

The recent fluctuations in abundance of the Indian oil sardine Sardinella longiceps, a tropical small pelagic clupeid fish, was investigated in the light of overfishing and variations in its habitat ecology in southeastern Arabian Sea. In 2012, its landings peaked to an all-time record making it the fifth largest sardine fishery in the world, and within 3 years the catches were reduced to nearly a tenth of that level. This study examined the fishery dependant factors such as effort, catch rates and expansion of fishing area; the biological variations in fish size, maturity and recruitment; and tried to relate this to the environmental variations in the sardine habitat and food availability. The 2012 mega harvest was a result of a 2-time increase in gear size and engine capacity of fishing crafts and a 3.7-time increase in fishing effort. The female maturation process was strongly influenced primarily by rainfall and then by upwelling and the resulting influx of cold nutrient-rich water in the habitat from April much before the start of the monsoon in June. After 2013, the weak monsoons and the 2015 El Nino Southern Oscillation resulted in a warmer (by an average of 1.1°C) period which negatively impacted the maturation process. The abundance of jellyfishes which are larval and young fish predators in the habitat negatively affected recruitment after 2013. The mismatch in timing of phytoplankton productivity and sardine larvae in the habitat also affected the recruitment success. These environmental divergences coupled with the excessive capture (beyond maximum sustainable yields) of spawning stock and juveniles from 2010 has resulted in this biological catastrophe which has affected the livelihood of thousands of small-scale fishers. A more responsive fisheries administration with timely restriction on fishing effort and protection of spawning stocks by way of fishery closure would have helped minimize the impacts

Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950-2019 : a comprehensive demographic analysis for the Global Burden of Disease Study 2019

Background: Accurate and up-to-date assessment of demographic metrics is crucial for understanding a wide range of social, economic, and public health issues that affect populations worldwide. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 produced updated and comprehensive demographic assessments of the key indicators of fertility, mortality, migration, and population for 204 countries and territories and selected subnational locations from 1950 to 2019. Methods: 8078 country-years of vital registration and sample registration data, 938 surveys, 349 censuses, and 238 other sources were identified and used to estimate age-specific fertility. Spatiotemporal Gaussian process regression (ST-GPR) was used to generate age-specific fertility rates for 5-year age groups between ages 15 and 49 years. With extensions to age groups 10–14 and 50–54 years, the total fertility rate (TFR) was then aggregated using the estimated age-specific fertility between ages 10 and 54 years. 7417 sources were used for under-5 mortality estimation and 7355 for adult mortality. ST-GPR was used to synthesise data sources after correction for known biases. Adult mortality was measured as the probability of death between ages 15 and 60 years based on vital registration, sample registration, and sibling histories, and was also estimated using ST-GPR. HIV-free life tables were then estimated using estimates of under-5 and adult mortality rates using a relational model life table system created for GBD, which closely tracks observed age-specific mortality rates from complete vital registration when available. Independent estimates of HIV-specific mortality generated by an epidemiological analysis of HIV prevalence surveys and antenatal clinic serosurveillance and other sources were incorporated into the estimates in countries with large epidemics. Annual and single-year age estimates of net migration and population for each country and territory were generated using a Bayesian hierarchical cohort component model that analysed estimated age-specific fertility and mortality rates along with 1250 censuses and 747 population registry years. We classified location-years into seven categories on the basis of the natural rate of increase in population (calculated by subtracting the crude death rate from the crude birth rate) and the net migration rate. We computed healthy life expectancy (HALE) using years lived with disability (YLDs) per capita, life tables, and standard demographic methods. Uncertainty was propagated throughout the demographic estimation process, including fertility, mortality, and population, with 1000 draw-level estimates produced for each metric. Findings: The global TFR decreased from 2·72 (95% uncertainty interval [UI] 2·66–2·79) in 2000 to 2·31 (2·17–2·46) in 2019. Global annual livebirths increased from 134·5 million (131·5–137·8) in 2000 to a peak of 139·6 million (133·0–146·9) in 2016. Global livebirths then declined to 135·3 million (127·2–144·1) in 2019. Of the 204 countries and territories included in this study, in 2019, 102 had a TFR lower than 2·1, which is considered a good approximation of replacement-level fertility. All countries in sub-Saharan Africa had TFRs above replacement level in 2019 and accounted for 27·1% (95% UI 26·4–27·8) of global livebirths. Global life expectancy at birth increased from 67·2 years (95% UI 66·8–67·6) in 2000 to 73·5 years (72·8–74·3) in 2019. The total number of deaths increased from 50·7 million (49·5–51·9) in 2000 to 56·5 million (53·7–59·2) in 2019. Under-5 deaths declined from 9·6 million (9·1–10·3) in 2000 to 5·0 million (4·3–6·0) in 2019. Global population increased by 25·7%, from 6·2 billion (6·0–6·3) in 2000 to 7·7 billion (7·5–8·0) in 2019. In 2019, 34 countries had negative natural rates of increase; in 17 of these, the population declined because immigration was not sufficient to counteract the negative rate of decline. Globally, HALE increased from 58·6 years (56·1–60·8) in 2000 to 63·5 years (60·8–66·1) in 2019. HALE increased in 202 of 204 countries and territories between 2000 and 2019

Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016

BACKGROUND: Detailed assessments of mortality patterns, particularly age-specific mortality, represent a crucial input that enables health systems to target interventions to specific populations. Understanding how all-cause mortality has changed with respect to development status can identify exemplars for best practice. To accomplish this, the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) estimated age-specific and sex-specific all-cause mortality between 1970 and 2016 for 195 countries and territories and at the subnational level for the five countries with a population greater than 200 million in 2016. METHODS: We have evaluated how well civil registration systems captured deaths using a set of demographic methods called death distribution methods for adults and from consideration of survey and census data for children younger than 5 years. We generated an overall assessment of completeness of registration of deaths by dividing registered deaths in each location-year by our estimate of all-age deaths generated from our overall estimation process. For 163 locations, including subnational units in countries with a population greater than 200 million with complete vital registration (VR) systems, our estimates were largely driven by the observed data, with corrections for small fluctuations in numbers and estimation for recent years where there were lags in data reporting (lags were variable by location, generally between 1 year and 6 years). For other locations, we took advantage of different data sources available to measure under-5 mortality rates (U5MR) using complete birth histories, summary birth histories, and incomplete VR with adjustments; we measured adult mortality rate (the probability of death in individuals aged 15-60 years) using adjusted incomplete VR, sibling histories, and household death recall. We used the U5MR and adult mortality rate, together with crude death rate due to HIV in the GBD model life table system, to estimate age-specific and sex-specific death rates for each location-year. Using various international databases, we identified fatal discontinuities, which we defined as increases in the death rate of more than one death per million, resulting from conflict and terrorism, natural disasters, major transport or technological accidents, and a subset of epidemic infectious diseases; these were added to estimates in the relevant years. In 47 countries with an identified peak adult prevalence for HIV/AIDS of more than 0·5% and where VR systems were less than 65% complete, we informed our estimates of age-sex-specific mortality using the Estimation and Projection Package (EPP)-Spectrum model fitted to national HIV/AIDS prevalence surveys and antenatal clinic serosurveillance systems. We estimated stillbirths, early neonatal, late neonatal, and childhood mortality using both survey and VR data in spatiotemporal Gaussian process regression models. We estimated abridged life tables for all location-years using age-specific death rates. We grouped locations into development quintiles based on the Socio-demographic Index (SDI) and analysed mortality trends by quintile. Using spline regression, we estimated the expected mortality rate for each age-sex group as a function of SDI. We identified countries with higher life expectancy than expected by comparing observed life expectancy to anticipated life expectancy on the basis of development status alone. FINDINGS: Completeness in the registration of deaths increased from 28% in 1970 to a peak of 45% in 2013; completeness was lower after 2013 because of lags in reporting. Total deaths in children younger than 5 years decreased from 1970 to 2016, and slower decreases occurred at ages 5-24 years. By contrast, numbers of adult deaths increased in each 5-year age bracket above the age of 25 years. The distribution of annualised rates of change in age-specific mortality rate differed over the period 2000 to 2016 compared with earlier decades: increasing annualised rates of change were less frequent, although rising annualised rates of change still occurred in some locations, particularly for adolescent and younger adult age groups. Rates of stillbirths and under-5 mortality both decreased globally from 1970. Evidence for global convergence of death rates was mixed; although the absolute difference between age-standardised death rates narrowed between countries at the lowest and highest levels of SDI, the ratio of these death rates-a measure of relative inequality-increased slightly. There was a strong shift between 1970 and 2016 toward higher life expectancy, most noticeably at higher levels of SDI. Among countries with populations greater than 1 million in 2016, life expectancy at birth was highest for women in Japan, at 86·9 years (95% UI 86·7-87·2), and for men in Singapore, at 81·3 years (78·8-83·7) in 2016. Male life expectancy was generally lower than female life expectancy between 1970 and 2016, an