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Books on the topic 'Longitudinal population study'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Coulthard, Helen Lucy. A prospective, longitudinal study of early feeding problems in a normal population. Birmingham: University of Birmingham, 2001.

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2

N, Morgan James. Panel study of income dynamics, 1968-1987: Validation study. Ann Arbor, Mich: Inter-university Consortium for Political and Social Research, 1990.

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3

Ardington, Elisabeth. Return to Nkandla: The third survey in a longitudinal study of a rural community in KwaZulu Natal. Durban: Centre for Social and Development Studies, University of Natal, 1995.

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4

name, No. Anatomy and well-being in the aging population II: Report from the longitudinal aging study Amsterdam, 1992-1996. Amsterdam: VU University Press, 2002.

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5

Great Britain. Office of Population Censuses and Surveys., ed. Census 1971-1981, the longitudinal study: Linked census data : England and Wales : laid before Parliament pursuant to Section 4(1) Census Act 1920. London: H.M.S.O., 1988.

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6

Wolfe, Richard George. Second International Mathematics Study: Training manual for use of the databank of the longitudinal, classroom process surveys for population A in the IEA Second International Mathematics Study. [New York, NY]]: International Association for the Evaluation of Educational Achievement, 1987.

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7

International Association for the Evaluation of Educational Achievement and United States. Office of Educational Research and Improvement. Center for Education Statistics, eds. Second international mathematics study: Training manual for use of the databank of the longitudinal, classroom process surveys for population A in the IEA Second international mathematics study. [Washington, D.C.?]: Center for Education Statistics, Office of Educational Research and Improvement, U.S. Dept. of Education, 1987.

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8

1930-, Levy Jerrold E., and Andrews Tracy J, eds. Drinking careers: A twenty-five-year study of three Navajo populations. New Haven: Yale University Press, 1994.

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9

Coughlin, Chris D. Family influences on adolescent drug relapse: Follow-up study of a treatment population. 1990.

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10

Fieldwork experiences related to the longitudinal study of the demographic responses to a changing environment in Nang Rong, 1994. Nakhon Pathom, Thailand: Institute for Population and Social Research, Mahidol University, 1997.

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11

The incidence of mental illness over a quarter of a century: The Lundby longitudinal study of mental illness in a total population based on 42 000 observation years. Stockholm: Almqvist & Wiksell, 1990.

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12

G, Marmot M., Banks James, and Institute of Fiscal Studies, eds. Health, wealth and lifestyles of the older population in England: The 2002 English longitudinal study of ageing. London: Institute of Fiscal Studies, 2003.

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13

Knipscheer, C. P. M., 1940-, Tilburg W. van, Deeg Dorly J. H, and Nederlands Instituut voor Gerontologie, eds. Autonomy and well-being in the aging population: Concepts and design of the Longitudinal Aging Study Amsterdam. Bunnik, Netherlands: Netherlands Institute of Gerontology, 1993.

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14

Autonomy and well-being in the aging population: Concepts and design of the Longitudinal Aging Study Amsterdam. Bunnik, Netherlands: Netherlands Institute of Gerontology, 1993.

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15

James, Banks, and Institute for Fiscal Studies (Great Britain), eds. Retirement, health and relationships of the older population in England: The 2004 English longitudinal study of ageing (wave 2). London: Institute for Fiscal Studies, 2006.

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16

A study of cognitive changes over time, as reflected by the Wechsler intelligence scales, in a learning disabled population. 1988.

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17

Autonomy and Well-Being in the Aging Populationi: Report from the Longitudinal Aging Study Amsterdam 1992-1993. Vu University Press, 1994.

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18

Blitz, Brad K. Highly Skilled Migration. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.209.

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Evidence shows that international flows of highly skilled workers are increasing, both between advanced states and between advanced and developing regions. The movement of skilled people around the globe is driven by a variety of political forces, including governments’ continued efforts to address domestic labor shortages and restock through preferential immigration policies and international recruitment drives. For social scientists, the unprecedented movement of highly skilled labor across the globe calls into question earlier approaches to the study of migration. Where international highly skilled workers were treated in the classical sociological literature on migration as a small population that reflected both the potential for human capital transfers between states and, more controversially, a corresponding “brain drain” from source countries, the realities of transnational migration now complicate this picture. The expansion of the European Union and other forms of regional cooperation have given rise to important trade liberalizing agreements, producing a truly global migration market and the policy context for much contemporary research. More studies are needed to tackle issues relevant to the study of skilled migration, such as estimates of skilled migrants, longitudinal studies of circular migration, and analyses of the differentiation of migrants by occupational group and country of origin, along with the relative access that such groups enjoy in the receiving state.

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19

Ryff, Carol D., and Robert F. Krueger, eds. The Oxford Handbook of Integrative Health Science. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190676384.001.0001.

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This handbook signals a paradigm shift in health research. Population-based disciplines have employed large national samples to examine how sociodemographic factors contour rates of morbidity and mortality. Behavioral and psychosocial disciplines have studied the factors that influence these domains using small, nonrepresentative samples in experimental or longitudinal contexts. Biomedical disciplines, drawing on diverse fields, have examined mechanistic processes implicated in disease outcomes. The collection of chapters in this handbook embraces all such prior approaches and, via targeted questions, illustrates how they can be woven together. Diverse contributions showcase how social structural influences work together with psychosocial influences or experiential factors to impact differing health outcomes, including profiles of biological risk across distinct physiological systems. These varied biopsychosocial advances have grown up around the Midlife in the United States (MIDUS) national study of health, begun over 20 years ago and now encompassing over 12,000 Americans followed through time. The overarching principle behind the MIDUS enterprise is that deeper understanding of why some individuals remain healthy and well as they move across the decades of adult life, while others succumb to differing varieties of disease, dysfunction, or disability, requires a commitment to comprehensiveness that attends to the interplay of multiple interacting influences. Put another way, all of the disciplines mentioned have reliably documented influences on health, but in and of themselves, each is inherently limited because it neglects factors known to matter for health outside the discipline’s purview. Integrative health science is the alternative seeking to overcome these limitations.

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20

Baldwin, Matthew, and Hannah Wunsch. Mortality after Critical Illness. Oxford University Press, 2014. http://dx.doi.org/10.1093/med/9780199653461.003.0003.

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Many critically ill patients now survive what were previously fatal illnesses, but long-term mortality after critical illness remains high. While study populations vary by country, age, intervention, or specific diagnosis, investigations demonstrate that the majority of additional deaths occur in the first 6 to 12 months after hospital discharge. Patients with diagnoses of cancer, respiratory failure, and neurological disorders leading to the need for intensive care have the highest long-term mortality, while those with trauma and cardiovascular diseases have much lower long-term mortality. Use of mechanical ventilation, older age, and a need for care in a facility after the acute hospitalization are associated with particularly high 1-year mortality among survivors of critical illnesses. Due to challenges of follow-up, less is known about causes of delayed mortality following critical illness. Longitudinal studies of survivors of pneumonia, stroke, and patients who require prolonged mechanical ventilation suggest that most debilitated survivors die from recurrent infections and sepsis. Potential biologic mechanisms for increased risk of death after a critical illness include sepsis-induced immunoparalysis, intensive care unit-acquired weakness, neuroendocrine changes, poor nutrition, and genetic variance. Studies are needed to fully understand how the severity of the acute critical illness interacts with comorbid disease, pre-illness disability, and pre-existing and acquired frailty to affect long-term mortality. Such studies will be fundamental to improve targeting of rehabilitative, therapeutic, and palliative interventions to improve both survival and quality of life after critical illness.

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