Literature DB >> 25558376

The Midlife in the United States (MIDUS) Series: A National Longitudinal Study of Health and Well-being.

Barry T Radler1.   

Abstract

Midlife in the United States (MIDUS) is a national longitudinal study of health and well-being (http://midus.wisc.edu/). It was conceived by a multidisciplinary team of scholars interested in understanding aging as an integrated bio-psycho-social process, and as such it includes data collected in a wide array of research protocols using a variety of survey and non-survey instruments. The data captured by these different protocols (comprising around 20,000 variables) represent survey measures, cognitive assessments, daily stress diaries, clinical, biomarker and neuroscience data which are contained in separate flat or stacked data files with a common ID system that allows easy data merges among them. All MIDUS datasets and documentation are archived at the ICPSR (http://www.icpsr.umich.edu/) repository at the University of Michigan and are publicly available in a variety of formats and statistical packages. Special attention is given to providing clear user-friendly documentation; the study has embraced the Data Documentation Initiative (DDI) metadata standard and produces DDI-Lifecycle compliant codebooks. Potential for secondary use of MIDUS is high and actively encouraged. The study has become very popular with the research public as measured by data downloads and citation counts (see Reuse Potential below).

Entities:  

Keywords:  DDI; Midlife; aging; biomarkers; cognitive; longitudinal; multi-disciplinary; neuroscience; stress; well-being

Year:  2014        PMID: 25558376      PMCID: PMC4280664          DOI: 10.5334/ohd.ai

Source DB:  PubMed          Journal:  Open Health Data        ISSN: 2054-7102


  2 in total

1.  Bioindicators in the MIDUS national study: protocol, measures, sample, and comparative context.

Authors:  Gayle Dienberg Love; Teresa E Seeman; Maxine Weinstein; Carol D Ryff
Journal:  J Aging Health       Date:  2010-09-27

2.  Who participates? Accounting for longitudinal retention in the MIDUS national study of health and well-being.

Authors:  Barry T Radler; Carol D Ryff
Journal:  J Aging Health       Date:  2010-01-26
  2 in total
  34 in total

1.  Parental warmth and flourishing in mid-life.

Authors:  Ying Chen; Laura D Kubzansky; Tyler J VanderWeele
Journal:  Soc Sci Med       Date:  2018-10-30       Impact factor: 4.634

2.  Loneliness in middle age and biomarkers of systemic inflammation: Findings from Midlife in the United States.

Authors:  Paula V Nersesian; Hae-Ra Han; Gayane Yenokyan; Roger S Blumenthal; Marie T Nolan; Melissa D Hladek; Sarah L Szanton
Journal:  Soc Sci Med       Date:  2018-04-30       Impact factor: 4.634

3.  Sleep and pain interference in individuals with chronic pain in mid- to late-life: The influence of negative and positive affect.

Authors:  Scott G Ravyts; Joseph M Dzierzewski; Tarah Raldiris; Elliottnell Perez
Journal:  J Sleep Res       Date:  2018-12-18       Impact factor: 3.981

4.  Discrimination and anxiety: Using multiple polygenic scores to control for genetic liability.

Authors:  Adolfo G Cuevas; Frank D Mann; David R Williams; Robert F Krueger
Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-05       Impact factor: 11.205

5.  The bidirectional relationship between sense of purpose in life and physical activity: a longitudinal study.

Authors:  Ayse Yemiscigil; Ivo Vlaev
Journal:  J Behav Med       Date:  2021-04-23

6.  Volunteers' Felt Respect and Its Associations With Volunteering Retention, Daily Affect, Well-being, and Mortality.

Authors:  Dwight C K Tse
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2020-09-14       Impact factor: 4.077

7.  Aging and low-grade inflammation reduce renal function in middle-aged and older adults in Japan and the USA.

Authors:  Reagan Costello-White; Carol D Ryff; Christopher L Coe
Journal:  Age (Dordr)       Date:  2015-07-19

8.  Measurement Invariance and Sleep Quality Differences Between Men and Women in the Pittsburgh Sleep Quality Index.

Authors:  Longfeng Li; Connor M Sheehan; Marilyn S Thompson
Journal:  J Clin Sleep Med       Date:  2019-10-30       Impact factor: 4.062

9.  Personality and sleep quality: Evidence from four prospective studies.

Authors:  Yannick Stephan; Angelina R Sutin; Sophie Bayard; Zlatan Križan; Antonio Terracciano
Journal:  Health Psychol       Date:  2017-11-27       Impact factor: 4.267

10.  Electrical Properties Assessed by Bioelectrical Impedance Spectroscopy as Biomarkers of Age-related Loss of Skeletal Muscle Quantity and Quality.

Authors:  Yosuke Yamada; Bjoern Buehring; Diane Krueger; Rozalyn M Anderson; Dale A Schoeller; Neil Binkley
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2017-09-01       Impact factor: 6.053

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