scholarly journals When does family size matter? Sibship size, socioeconomic status and education in England

2020 ◽  
Vol 2 ◽  
Author(s):  
Paula Sheppard ◽  
Christiaan Monden
Keyword(s):  
Socioeconomic Status ◽  
Family Size ◽  
Sibship Size ◽  
Size Matter

Abstract

Risk Factors Associated with Failure to Receive Vaccinations

PEDIATRICS ◽  
1979 ◽  
Vol 64 (3) ◽  
pp. 304-309 ◽  
Author(s):  
James S. Marks ◽  
Thomas J. Halpin ◽  
John J. Irvin ◽  
Deane A. Johnson ◽  
John R. Keller
Keyword(s):  
Socioeconomic Status ◽  
Family Size ◽  
Parental Education ◽  
Maternal Education ◽  
Oral Polio Vaccine ◽  
Health Department ◽  
Major Purpose ◽  
Factors Associated ◽  
Basic Series ◽  
To Receive

A major purpose of a state-wide survey to document the vaccination status of 1,003 2-year-old children was to identify factors associated with failure to receive the recommended vaccinations. With a basic series of immunization defined as three doses of diphtheriatetanus-pertussis (DTP), three oral polio vaccine (OPV), one measles, and one rubella, 72.5% of the children had completed the series. When the completed series was redefined to include a fourth DTP and mumps vaccine the rate of completion dropped to 40.8%. However, 59.1% of the children who had not completed this optimal series could be brought up-to-date with a single visit to their provider of medical care. Demographic variables independently associated with completion of the basic series were increased paternal education (P < .001), increased maternal education (P < .02), smaller family size (P < .01) and higher socioeconomic status, as determined by census tract or rural town of residence (P < .02). Race was not found to be a factor associated with vaccination rates when socioeconomic status was controlled. Patients who received their vaccinations from private physicians had a better vaccination rate than those who attended health department clinics. This difference persisted even when socioeconomic status was controlled by residence (P < .02). The simultaneous comparison of parental education and family size demonstrated that a child having one parent with < 12 years education or having at least three siblings has a fourfold greater risk of failure to complete his immunization than children whose parents are both college graduates. By using paternal and maternal education level and family size as screening variables, children at high risk for failure to complete their immunizations could be identified prospectively and made the target of intervention programs to improve compliance.

scholarly journals Adult Suicide Mortality in the United States: Marital Status, Family Size, Socioeconomic Status, and Differences by Sex

2009 ◽  
Vol 90 (5) ◽  
pp. 1167-1185 ◽  
Author(s):  
Justin T. Denney ◽  
Richard G. Rogers ◽  
Patrick M. Krueger ◽  
Tim Wadsworth
Keyword(s):  
United States ◽  
Socioeconomic Status ◽  
Marital Status ◽  
Family Size ◽  
The United States ◽  
Suicide Mortality

Birth Order and Family Size: Bias Caused by Changes in Birth Rate

1969 ◽  
Vol 115 (523) ◽  
pp. 647-657 ◽  
Author(s):  
E. H. Hare ◽  
J. S. Price
Keyword(s):  
Birth Order ◽  
Family Size ◽  
Null Hypothesis ◽  
Birth Rate ◽  
Reproductive Period ◽  
Adult Patients ◽  
Rank Distribution ◽  
Sibship Size ◽  
Birth Rank ◽  
Age Range

In a previous paper (Price and Hare, 1969) we drew attention to some types of bias which may complicate the search for a useful association between disease and birth order. In particular, we considered biases occurring in a sample of adult patients where the patients' mothers have all passed their reproductive period and where, therefore, the sibships of the patients are complete. In such a sample, the recognized methods of searching for an association between disease and birth order are based on the assumption, that, for a null hypothesis, the sample will be randomly distributed among the birth ranks for each sibship size. But in fact the distribution may be non-random, and there are two main causes for this. These are (i) changes in the birth rate of the population, and (ii) changes in the birth rank distribution of the patients between birth and the age-range from which the sample is selected (e.g. differential rates of mortality or migration). The principal aim in the present paper is to illustrate the bias arising from the first of these causes.

scholarly journals Longevity — does family size matter?

Nature ◽  
10.1038/21059 ◽  
1999 ◽  
Vol 399 (6736) ◽  
pp. 522-522 ◽  
Author(s):  
Toon Ligtenberg ◽  
Henk Brand
Keyword(s):  
Family Size ◽  
Size Matter

scholarly journals Socio-economic status and extent of adoption of climate resilient technologies in the Eastern Plain Zone of Uttar Pradesh

2021 ◽  
Vol 17 (AAEBSSD) ◽  
pp. 281-286
Author(s):  
S. R. Devegowda ◽  
Saket Kushwaha ◽  
P. S. Badal
Keyword(s):  
Socioeconomic Status ◽  
Old Age ◽  
Family Size ◽  
Low Income ◽  
Similar Pattern ◽  
Middle Age ◽  
Nuclear Family ◽  
Economic Status ◽  
Uttar Pradesh ◽  
Socio Economic Status

The study focused on extent of adoption of climate resilient technologies and socioeconomic status of the farmers in the eastern plain zone of Uttar Pradesh. Data collected from flood and usar affected blocks of Varanasi and Chandauli subjected to analysis. High adoption of climate resilient technologies noticed followed by low and medium adoption. Farmers belonged to middle age and young age adopted climate resilient technologies more compare to old age farmers. Illiterates adopted less compare primary and secondary educated farmers, where they adopted more. Nuclear family constituted more in high and low adoption groups similar pattern followed in joint family. Among all groups of adoption, the medium family size accounted for the most adoptions, followed by the medium and big family sizes. Low income was predominant among farmers of all groups whereas high adopted farmers had higher income than medium and low adopted farmers. The majority of the farmers had medium farming experience, which affected positively on adoption more than high and low experience, low adopted farmers having less expertise. Farmers with a high extension contact used more climate resilient technology.

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