Archives: Research

Fertility in Northern Ireland 2001-2011: The Influence of Education and Migration.

Fertility in Northern Ireland 2001-2011: The Influence of Education and Migration.

This is a development of the NILS022 project where a statistical analysis was based upon a panel of women aged 15-44 over the period 1997-2007 that was constructed from the NILS. A similar methodology is proposed; the statistical analysis consists of a panel logit analysis of whether a birth occurs in a period; the explanatory variables will include parity, duration, religion and locality variables.

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Is the risk of teenage pregnancy influenced by area of residence?

Is the risk of teenage pregnancy influenced by area of residence?

The UK has the highest rates of teenage pregnancy in Western Europe and while these have been gradually falling across the UK (including NI) since 2002, rates of pregnancy for girls aged less than 20 remains high. While it is acknowledged that not all teenage pregnancies are unintended and that the life course for teenage parents is not necessarily negative, unintended pregnancy remains a major component of adolescent pregnancies and can risks considerable adverse health problems for teenagers and their infants as well as generating enormous emotional, economic and social costs1 for adolescents, their families and society globally.

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Deprived areas and disadvantaged people: Social Investment Fund areas and migration 2001-2010.

Deprived areas and disadvantaged people: Social Investment Fund areas and migration 2001-2010.

It is well known that migration sorts people between places according to individual socio-demographic characteristics.  This project aims to add to this evidence base by focussing on the characteristics in 2001 of those who entered, left and moved within the group of SOAs that were eligible for inclusion in the Social Investment Fund (SIF) according to criteria provided by OFMDFM. The analysis will group SOAs by selected social deprivation domains such as health with flows in and out of the top 10% and 20% most deprived between 2001 and 2010 as the focus for analysis.

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Who you are or where you live? Examining the impact of individual and area level effects on reproductive decision-making, health and risky causes of deaths in Northern Ireland. Part one: fertility and reproductive behaviour.

Who you are or where you live? Examining the impact of individual and area level effects on reproductive decision-making, health and risky causes of deaths in Northern Ireland. Part one: fertility and reproductive behaviour.

There is a growing understanding that there are social gradients in health, teenage birth rates and causes of morbidity and mortality. However, the more ultimate causes and the more precise patterns that underlie this variation is yet largely unknown (Nettle 2010). The overall project aims to better understand individual and area level effects on reproductive decision-making, health and a range of “risky” behaviours related to mortality in Northern Ireland.

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Worked to death? An analysis of the relationship between the numbers of hours spent working, current health status and mortality risk.

Worked to death? An analysis of the relationship between the numbers of hours spent working, current health status and mortality risk.

There is a wealth of research literature showing the salutogenic effects of employment and the deleterious effects of unemployment and threats of unemployment. However, the potentially harmful effects of excessive working have not been studied in Westernised Societies to date.

In contrast both the Japanese and Chinese have a word (‘karoshi’, ‘guolaosi’ respectively) for death due to overwork and this is an official cause of death for which the government pays compensation.

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Evaluating current area level indicators for measuring disadvantage.

Evaluating current area level indicators for measuring disadvantage.

NI Government currently uses the NIMDM to define areas of disadvantage and subsequently target and channel additional funds to these areas. The methodological foundations of this should be constantly tested, as it is possible that current methodologies are not optimal and that other approaches, such as modelled income data, measures of income inequality (the GINI coefficient), or a combination of the two, may enable a better identification of disadvantaged individuals. The project aims to use NILS to test a range of possible measures of disadvantage. This includes both an examination of (a) the measures themselves – GINI, NIMDM, a measure of areas of multiply deprived households; and (b) the cut points – the boundaries defining the categories used with the indicators. Outcome measures will include both (i) mortality (2001-2009), and (ii) an examination of social mobility as represented in the transitions associated with (NI-)internal migration patterns between super output areas (SOA).

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Long-term illness, poor health and housing (im)mobility.

Long-term illness, poor health and housing (im)mobility.

Shuttleworth and Green (2010) examined the daily work-related (commuting) expectations of Incapacity Benefit (IB) claimants in NI by means of a DEL-sponsored survey. Lower levels of expected work-related mobility were associated with urban neighbourhood contexts, limited access to private transport, poor educational attainment, and public rented housing. The proposal builds on this work by examining the housing mobility of a similar and closely matched set of NILS respondents to understand the wider dimensions of the mobility/immobility experiences of the long-term ill and economically inactive.

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