Effect of Famine on Fertility in a, Rural Area of Bangladesh

1988 ◽  
Vol 20 (3) ◽  
pp. 287-294 ◽  
Author(s):  
Abdur Razzaque
Keyword(s):  
Socioeconomic Status ◽  
Household Head ◽  
Diarrhoeal Disease ◽  
Demographic Surveillance System ◽  
Fertility Rates ◽  
Differential Fertility ◽  
Socioeconomic Groups ◽  
Disease Research ◽  
Registration Data ◽  
Household Socioeconomic Status

SummaryThis study investigates the effects of the 1974–75 famine on differential fertility in a rural population of Bangladesh, using information on household socioeconomic status collected in the 1974 census, and registration data on births, deaths and migrations for the period 1974–77 from the Demographic Surveillance System of the International Centre for Diarrhoeal Disease Research, Bangladesh. Occupation of household head was taken as a measure of socioeconomic status. Total fertility rates were analysed for three periods: pre-famine, famine and post-famine. Overall fertility declined due to the famine by 34%, but this was compensated partially by a 17% increase in the post-famine period. Fertility of women of all ages and socioeconomic groups was affected by the famine, a more pronounced effect being observed among the poor. Fertility showed a higher post-famine recovery among women in the middle socioeconomic groups and in those aged 25–34 years.

Sociodemographic differentials in mortality during the 1974–75 famine in a rural area of Bangladesh

1989 ◽  
Vol 21 (1) ◽  
pp. 13-22 ◽  
Author(s):  
Abdur Razzaque
Keyword(s):  
Rural Area ◽  
Surveillance System ◽  
Age Groups ◽  
Diarrhoeal Disease ◽  
Demographic Surveillance System ◽  
Disease Research ◽  
Registration Data ◽  
The Poor ◽  
The Rich ◽  
Household Socioeconomic Status

SummaryThis study investigates the socio-demographic differentials in mortality during the 1974–75 famine in a rural area of Bangladesh. It is based on household socioeconomic information collected in the 1974 census and registration data on births, deaths and migrations for the period 1974–79 from the Demographic Surveillance System of the International Centre for Diarrhoeal Disease Research, Bangladesh. Ownership of selected household items was considered in the analysis as an indicator of household socioeconomic status. Mortality was 62% higher during the famine period and 31% higher during the post-famine period compared to the non-famine period. The mortality of both the poor and the rich increased during the famine period, by 117% and 28% respectively compared to the non-famine period. The poor suffered significantly in all age groups except 5–14 years, while the rich suffered only for ages 65 and over. Poor males suffered more than poor females except for ages 65 and over, while rich females suffered more than rich males except for ages under 1 year.

Socioeconomic status and fertility in rural Bangladesh

1985 ◽  
Vol 17 (1) ◽  
pp. 81-89 ◽  
Author(s):  
K. Shaikh ◽  
S. Becker
Keyword(s):  
Diarrhoeal Disease ◽  
Demographic Surveillance System ◽  
Occupational Groups ◽  
Rural Bangladesh ◽  
Disease Research ◽  
Registration Data ◽  
Fertility Differentials ◽  
Education Of Women ◽  
Lower Fertility ◽  
Household Heads

SummaryUsing a unique set of birth registration data from the Demographic Surveillance System of the International Centre for Diarrhoeal Disease Research, Bangladesh, for the period 1974–77, and socioeconomic information collected in the 1974 census, fertility was studied in relation to occupation, size of dwelling, number of cows and number of boats owned. The total fertility rate was found to vary between 6 and 6·5 except in the famine year of 1975. There was no consistent relationship between fertility and education of women. Fertility differentials by occupation showed that the household heads who were farm labourers had relatively lower fertility compared to other occupational groups, except for the year 1977 where the families of service holders were found to have relatively lower fertility. There was a consistent direct relationship between the dwelling size and fertility for each of the years.

scholarly journals Vibrio cholerae O139 persists in Dhaka, Bangladesh since 1993

2021 ◽  
Vol 15 (9) ◽  
pp. e0009721
Author(s):  
Irin Parvin ◽  
Abu Sadat Mohammad Sayeem Bin Shahid ◽  
Subhasish Das ◽  
Lubaba Shahrin ◽  
Mst. Mahmuda Ackhter ◽  
...  
Keyword(s):  
Vibrio Cholerae ◽  
Surveillance System ◽  
Clinical Signs ◽  
Signs And Symptoms ◽  
Diarrhoeal Disease ◽  
Demographic Surveillance System ◽  
Surveillance Data ◽  
Disease Research ◽  
Vibrio Cholerae O139 ◽  
Clinical Signs And Symptoms

Background After a multi-country Asian outbreak of cholera due to Vibrio cholerae serogroup O139 which started in 1992, it is rarely detected from any country in Asia and has not been detected from patients in Africa. Methodology/Principal findings We extracted surveillance data from the Dhaka and Matlab Hospitals of International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) to review trends in isolation of Vibrio cholerae O139 in Bangladesh. Data from the Dhaka Hospital is a 2% sample of > 100,000 diarrhoeal patients treated annually. Data from the Matlab Hospital includes all diarrhoeal patients who hail from the villages included in the Matlab Health and Demographic Surveillance System. Vibrio cholerae O139 was first isolated in Dhaka in 1993 and had been isolated every year since then except for a gap between 2005 and 2008. An average of thirteen isolates was detected annually from the Dhaka Hospital during the last ten years, yielding an estimated 650 cases annually at this hospital. During the last ten years, cases due to serogroup O139 represented 0.47% of all cholera cases; the others being due to serogroup O1. No cases with serogroup O139 were identified at Matlab since 2006. Clinical signs and symptoms of cholera due to serogroup O139 were similar to cases due to serogroup O1 though more of the O139 cases were not dehydrated. Most isolates of O139 remained sensitive to tetracycline, ciprofloxacin, and azithromycin, but they became resistant to erythromycin starting in 2009. Conclusions/Significance Cholera due to Vibrio cholerae serogroup O139 continues to cause typical cholera in Dhaka, Bangladesh.

Differentials of fertility between polygynous and monogamous marriages in rural Bangladesh

1987 ◽  
Vol 19 (1) ◽  
pp. 49-56 ◽  
Author(s):  
Kashem Shaikh ◽  
K. M. A. Aziz ◽  
A. I. Chowdhury
Keyword(s):  
Census Data ◽  
Diarrhoeal Disease ◽  
Socioeconomic Indicators ◽  
Rural Bangladesh ◽  
Age At Marriage ◽  
Disease Research ◽  
Registration Data ◽  
Fertility Differentials ◽  
The Difference ◽  
Polygynous Marriage

SummaryThis paper discusses polygynous marriages in rural Bangladesh, using marital status and birth registration data from the Demographic Surveillance System of the International Centre for Diarrhoeal Disease Research, for the period 1975–79. Of all the marriages recorded during this period about 5% were polygynous. To identify the women polygynously married, 1974 census data of the DSS area were used. The difference in age at marriage between the polygynous groom and his subsequent wife was 15 years on average. The socioeconomic indicators studied were education, occupation and area of dwelling space. In general, these indicators differentially influence polygynous marriage. The fertility differentials between women in monogamous marriages were significantly higher than between the women in polygynous unions.

scholarly journals Changing childhood malnutrition in Bangladesh: trends over the last two decades in urban–rural differentials (1993–2012)

2015 ◽  
Vol 18 (10) ◽  
pp. 1718-1727 ◽  
Author(s):  
Sumon Kumar Das ◽  
Mohammod Jobayer Chisti ◽  
Mohammad Abdul Malek ◽  
Jui Das ◽  
Mohammed Abdus Salam ◽  
...  
Keyword(s):  
Rural Areas ◽  
Surveillance System ◽  
Diarrhoeal Disease ◽  
Demographic Surveillance System ◽  
Childhood Malnutrition ◽  
Rural Bangladesh ◽  
Disease Research ◽  
Urban Rural ◽  
Urban And Rural Areas ◽  
Weight For Age

AbstractObjectiveThe present study determined trends in malnutrition among under-5 children in urban and rural areas of Bangladesh.DesignSurveillance.SettingThe study was conducted in the urban Dhaka and the rural Matlab hospitals of the International Centre for Diarrhoeal Disease Research, Bangladesh, where every fiftieth patient and all patients coming from the Health and Demographic Surveillance System were enrolled.SubjectsA total of 28 816 under-5 children were enrolled at Dhaka from 1993 to 2012 and 11 533 at Matlab between 2000 and 2012.ResultsIn Dhaka, 46 % of the children were underweight, 39 % were stunted and 28 % were wasted. In Matlab, the corresponding figures were 39 %, 31 % and 26 %, respectively. At Dhaka, 0·5 % of the children were overweight and obese when assessed by weight-for-age Z-score >+2·00, 1·4 % by BMI-for-age Z-score >+2·00 and 1·4 % by weight-for-height Z-score >+2·00; in Matlab the corresponding figures were 0·5 %, 1·4 % and 1·4 %, respectively. In Dhaka, the proportion of underweight, stunting and wasting decreased from 59 % to 28 % (a 53 % reduction), from 54 % to 22 % (59 % reduction) and from 33 % to 21 % (36 % reduction), respectively, between 1993 and 2012. In Matlab, these indicators decreased from 51 % to 27 % (a 47 % reduction), from 36 % to 25 % (31 % reduction) and from 34 % to 14 % (59 % reduction), respectively, from 2000 to 2012. On the other hand, the proportion of overweight (as assessed by BMI-for-age Z-score) increased significantly over the study period in both Dhaka (from 0·6 % to 2·6 %) and Matlab (from 0·8 % to 2·2 %).ConclusionsThe proportion of malnourished under-5 children has decreased gradually in both urban and rural Bangladesh; however, the reduction rates are not in line with meeting Millennium Development Goal 1. Trends for increasing childhood obesity have been noted during the study period as well.

scholarly journals Changes in cannabis use according to socioeconomic status among Finnish adolescents from 2000 to 2015

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Noora Knaappila ◽  
Mauri Marttunen ◽  
Sari Fröjd ◽  
Nina Lindberg ◽  
Riittakerttu Kaltiala
Keyword(s):  
Socioeconomic Status ◽  
Parental Education ◽  
Population Based ◽  
Cannabis Use ◽  
Chi Square ◽  
Socioeconomic Groups ◽  
Parental Unemployment ◽  
The Usa ◽  
Chi Square Test ◽  
School Survey

Abstract Background Despite reduced sanctions and more permissive attitudes toward cannabis use in the USA and Europe, the prevalences of adolescent cannabis use have remained rather stable in the twenty-first century. However, whether trends in adolescent cannabis use differ between socioeconomic groups is not known. The aim of this study was to examine trends in cannabis use according to socioeconomic status among Finnish adolescents from 2000 to 2015. Methods A population-based school survey was conducted biennially among 14–16-year-old Finns between 2000 and 2015 (n = 761,278). Distributions for any and frequent cannabis use over time according to socioeconomic adversities were calculated using crosstabs and chi-square test. Associations between any and frequent cannabis use, time, and socioeconomic adversities were studied using binomial logistic regression results shown by odds ratios with 95% confidence intervals. Results At the overall level, the prevalences of lifetime and frequent cannabis use varied only slightly between 2000 and 2015. Cannabis use was associated with socioeconomic adversities (parental unemployment in the past year, low parental education, and not living with both parents). The differences in any and frequent cannabis use between socioeconomic groups increased significantly over the study period. Conclusions Although the overall changes in the prevalence of adolescent cannabis use were modest, cannabis use increased markedly among adolescents with the most socioeconomic adversities. Socioeconomic adversities should be considered in the prevention of adolescent cannabis use.

Prevalence of Mental Disorders by Socioeconomic Status in Australia: A Cross-Sectional Epidemiological Study

2020 ◽  
pp. 089011712096865
Author(s):  
Rubayyat Hashmi ◽  
Khorshed Alam ◽  
Jeff Gow ◽  
Sonja March
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Socioeconomic Status ◽  
Mental Disorders ◽  
National Health Survey ◽  
Cross Sectional ◽  
Lower Odds ◽  
Socioeconomic Groups ◽  
Income Groups ◽  
Weighted Prevalence

Purpose: To present the prevalence of 3 broad categories of mental disorder (anxiety-related, affective and other disorders) by socioeconomic status and examine the associated socioeconomic risk factors of mental disorders in Australia. Design: A population-based, cross-sectional national health survey on mental health and its risk factors across Australia. Setting: National Health Survey (NHS), 2017-2018 conducted by the Australian Bureau of Statistics (ABS) Participants: Under aged: 4,945 persons, Adult: 16,370 persons and total: 21,315 persons Measures: Patient-reported mental disorder outcomes Analysis: Weighted prevalence rates by socioeconomic status (equivalised household income, education qualifications, Socio-Economic Index for Areas (SEIFA) scores, labor force status and industry sector where the adult respondent had their main job) were estimated using cross-tabulation. Logistic regression utilizing subsamples of underage and adult age groups were analyzed to test the association between socioeconomic status and mental disorders. Results: Anxiety-related disorders were the most common type of disorders with a weighted prevalence rate of 20.04% (95% CI: 18.49-21.69) for the poorest, 13.85% (95% CI: 12.48-15.35) for the richest and 16.34% (95% CI: 15.7-17) overall. The weighted prevalence rate for mood/affective disorders were 20.19% (95% CI: 18.63-21.84) for the poorest, 9.96% (95% CI: 8.79-11.27) for the richest, and 13.57% (95% CI: 12.99-14.17) overall. Other mental disorders prevalence were for the poorest: 9.07% (95% CI: 7.91-10.39), the richest: 3.83% (95% CI: 3.14-4.66), and overall: 5.93% (95% CI: 5.53-6.36). These patterns are also reflected if all mental disorders were aggregated with the poorest: 30.97% (95% CI: 29.15-32.86), the richest: 19.59% (95% CI: 18.02-21.26), and overall: 23.93% (95% CI: 23.19-24.69). The underage logistic regression model showed significant lower odds for the middle (AOR: 0.75, 95% CI: 0.53 -1.04, p < 0.1), rich (AOR: 0.71, 95% CI: 0.5-0.99, p < 0.05) and richest (AOR: 0.6, 95% CI: 0.41-0.89, p < 0.01) income groups. Similarly, in the adult logistic model, there were significant lower odds for middle (AOR: 0.84, 95% CI: 0.72-0.98, p < 0.05), rich (AOR: 0.73, 95% CI: 0.62-0.86, p < 0.01) and richest (AOR: 0.76, 95% CI: 0.63-0.91, p < 0.01) income groups. Conclusion: The prevalence of mental disorders in Australia varied significantly across socioeconomic groups. Knowledge of different mental health needs in different socioeconomic groups can assist in framing evidence-based health promotion and improve the targeting of health resource allocation strategies.

Differential fertility among immigrants to England and Wales and some implications for population projections

1969 ◽  
Vol 1 (S1) ◽  
pp. 119-127 ◽  
Author(s):  
Jean Thompson
Keyword(s):  
Age Structure ◽  
Age Groups ◽  
Population Projections ◽  
Fertility Rates ◽  
Female Population ◽  
Differential Fertility ◽  
England And Wales ◽  
Adult Age ◽  
Completed Family Size ◽  
Socio Economic Factors

SummaryThe age structure of the immigrant female population as shown by the 1961 Census was heavily biased towards the young adult age groups, where fertility rates are highest. The birth rate for such a population could be expected considerably to exceed the average for this country as a whole, due to differences in age structure alone. The Census also showed marked differences betwen the fertility rates of different groups of immigrants but suggested that for the most important groups —from the Irish Republic, the Indian sub-continent and the Caribbean—they then amounted to a completed family size of roughly ½ child above the England and Wales average. There were also marked differences in 1961 between the socio-economic structure of immigrant groups; such evidence as there is points to socio-economic factors as playing an important part in explaining the fertility of immigrants, and its possible change over time.

scholarly journals Leave No Child Behind: Using Data from 1.7 Million Children from 67 Developing Countries to Measure Inequality Within and Between Groups of Births and to Identify Left Behind Populations

2020 ◽  
Author(s):  
Antonio P. Ramos ◽  
Robert E. Weiss ◽  
Martin Flores
Keyword(s):  
Risk Factors ◽  
Socioeconomic Status ◽  
Mortality Risk ◽  
Rural Areas ◽  
Socioeconomic Group ◽  
Policy Makers ◽  
Socioeconomic Groups ◽  
Mortality Risks ◽  
Multiple Risk Factors ◽  
Left Behind

Background: Goal 3.2 from the Sustainable Development Goals (SDG) calls for reductions in national averages of Under-5 Mortality. However, it is well known that within countries these reductions can coexist with left behind populations that have mortality rates higher than national averages. To measure inequality in under-5 mortality and to identify left behind populations, mortality rates are often disaggregated by socioeconomic status within countries. While socioeconomic disparities are important, this approach does not quantify within group variability since births from the same socioeconomic group may have different mortality risks. This is the case because mortality risk depends on several risk factors and their interactions and births from the same socioeconomic group may have different risk factor combinations. Therefore mortality risk can be highly variable within socioeconomic groups. We develop a comprehensive approach using information from multiple risk factors simultaneously to measure inequality in mortality and to identify left behind populations. Methods: We use Demographic and Health Surveys (DHS) data on 1,691,039 births from 182 different surveys from 67 low and middle income countries, 51 of which had at least two surveys. We estimate mortality risk for each child in the data using a Bayesian hierarchical logistic regression model. We include commonly used risk factors for monitoring inequality in early life mortality for the SDG as well as their interactions. We quantify variability in mortality risk within and between socioeconomic groups and describe the highest risk sub-populations. Findings: For all countries there is more variability in mortality within socioe- conomic groups than between them. Within countries, socioeconomic membership usually explains less than 20% of the total variation in mortality risk. In contrast, country of birth explains 19% of the total variance in mortality risk. Targeting the 20% highest risk children based on our model better identifies under-5 deaths than targeting the 20% poorest. For all surveys, we report efficiency gains from 26% in Mali to 578% in Guyana. High risk births tend to be births from mothers who are in the lowest socioeconomic group, live in rural areas and/or have already experienced a prior death of a child. Interpretation: While important, differences in under-5 mortality across socioeconomic groups do not explain most of overall inequality in mortality risk because births from the same socioeconomic groups have different mortality risks. Similarly, policy makers can reach the highest risk children by targeting births based on several risk factors (socioeconomic status, residing in rural areas, having a previous death of a child and more) instead of using a single risk factor such as socioeconomic status. We suggest that researchers and policy makers monitor inequality in under-5 mortality us- ing multiple risk factors simultaneously, quantifying inequality as a function of several risk factors to identify left behind populations in need of policy interventions and to help monitor progress toward the SDG.

Socioeconomic status: the prime indicator of premature death in Australia

1993 ◽  
Vol 25 (4) ◽  
pp. 539-552 ◽  
Author(s):  
James S. Lawson ◽  
Deborah Black
Keyword(s):  
Socioeconomic Status ◽  
Heart Disease ◽  
Health Status ◽  
Premature Death ◽  
Social Classes ◽  
Important Indicator ◽  
Death Rates ◽  
Socioeconomic Groups ◽  
Premature Deaths ◽  
Socioeconomic Status And Health

SummaryThe link between socioeconomic status and health has long been recognised. This study of deaths among Australian men aged 15–59 years demonstrates that during the 20-year period, 1966–86 the number of premature deaths was dramatically reduced among all socioeconomic groups, primarily as a result of falls in death rates due to heart disease, stroke and trauma. However, the marked differences in death rates according to social class remain, to the extent that if men of all social classes had the same mortality experiences as professional and technical workers the overall death rates for Australian men would be reduced by 60%. Socioeconomic status is the most important indicator of health status among Australians.

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