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Harville EW, Chen W, Guralnik J, Bazzano LA. Reproductive history and physical functioning in midlife: The Bogalusa Heart Study. Maturitas 2018; 109:26-31. [PMID: 29452778 DOI: 10.1016/j.maturitas.2017.12.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Revised: 11/30/2017] [Accepted: 12/06/2017] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To examine the relationship between reproductive history, pregnancy complications, and later physical function. STUDY DESIGN The Bogalusa Heart Study is a long-running study of cardiovascular health in a semirural community. 761 women were interviewed about their pregnancy history and complications, and underwent tests of physical function. Logistic models for dichotomous outcomes and linear models for continuous outcomes were used, adjusted for covariates. MAIN OUTCOME MEASURES Overall scores on the Short Physical Performance Battery (SPPB), which combines scores for balance, gait speed, and chair stands. Additional tests were a 6-min walk, knee extension strength, grip strength, and a pegboard challenge. RESULTS Nulliparity was associated with lower scores on the walking and balance portions of the SPPB, less distance covered in the 6-min walk, less knee and grip strength, and higher pegboard time, especially among pre-menopausal women. A history of gestational diabetes was associated with more problems on the walk portion of the SPPB (aOR 2.44, 1.06-5.65), higher chair stand time, and lower knee strength. Young age at first birth (<16 or 18 years) was associated with a shorter chair stand time and a better pegboard score. CONCLUSIONS Nulliparity was associated with worse physical functioning, while high parity and early pregnancy were not, suggesting that fertility is associated with better health later in life. Pregnancy complications were associated with worse physical functioning, even after controlling for body mass index. Future studies should attempt to establish the pathways by which reproductive health relates to overall physical functioning.
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Affiliation(s)
- Emily W Harville
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, United States.
| | - Wei Chen
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, United States
| | - Jack Guralnik
- Department of Epidemiology & Public Health, University of Maryland School of Medicine, United States
| | - Lydia A Bazzano
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, United States
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van den Berg N, Beekman M, Smith KR, Janssens A, Slagboom PE. Historical demography and longevity genetics: Back to the future. Ageing Res Rev 2017; 38:28-39. [PMID: 28689042 DOI: 10.1016/j.arr.2017.06.005] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2017] [Revised: 06/30/2017] [Accepted: 06/30/2017] [Indexed: 11/30/2022]
Abstract
Research into the genetic component of human longevity can provide important insights in mechanisms that may protect against age-related diseases and multi-morbidity. Thus far only a limited number of robust longevity loci have been detected in either candidate or genome wide association studies. One of the issues in these genetic studies is the definition of the trait being either lifespan, including any age at death or longevity, i.e. survival above a diverse series of thresholds. Likewise heritability and segregation research have conflated lifespan with longevity. The heritability of lifespan estimated across most studies has been rather low. Environmental factors have not been sufficiently investigated and the total amount of genetic variance contributing to longevity has not been estimated in sufficiently well-defined and powered studies. Up to now, genetic longevity studies lack the required insights into the nature and size of the genetic component and the optimal strategies for meta-analysis and subject selection for Next Generation Sequencing efforts. Historical demographic data containing deep genealogical information may help in estimating the best definition and heritability for longevity, its transmission patterns in multi-generational datasets and may allow relevant additive and modifying environmental factors such as socio-economic status, geographical background, exposure to environmental effects, birth order, and number of children to be included. In this light historical demographic data may be very useful for identifying lineages in human populations that are worth investigating further by geneticists.
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Affiliation(s)
- Niels van den Berg
- Department of Molecular Epidemiology, Leiden University, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
| | - Marian Beekman
- Department of Molecular Epidemiology, Leiden University, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
| | - Ken Robert Smith
- Department of Family and Consumer Studies, Population Sciences, Huntsman Cancer Institute, University of Utah, 225 S. 1400 E. Rm 228, Salt Lake City, United States.
| | - Angelique Janssens
- Department of Economic, Social, and Demographic History, Radboud University, Erasmusplein 1, 6525 HT Nijmegen, The Netherlands.
| | - Pieternella Eline Slagboom
- Department of Molecular Epidemiology, Leiden University, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
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Shadyab AH, Gass MLS, Stefanick ML, Waring ME, Macera CA, Gallo LC, Shaffer RA, Jain S, LaCroix AZ. Maternal Age at Childbirth and Parity as Predictors of Longevity Among Women in the United States: The Women's Health Initiative. Am J Public Health 2016; 107:113-119. [PMID: 27854529 DOI: 10.2105/ajph.2016.303503] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
OBJECTIVES To examine associations of maternal age at childbirth and parity with survival to age 90 years (longevity). METHODS We performed a prospective study among a multiethnic cohort of postmenopausal US women in the Women's Health Initiative recruited from 1993 to 1998 and followed through August 29, 2014. We adjusted associations with longevity for demographic, lifestyle, reproductive, and health-related characteristics. RESULTS Among 20 248 women (mean age at baseline, 74.6 years), 10 909 (54%) survived to age 90 years. The odds of longevity were significantly higher in women with later age at first childbirth (adjusted odds ratio = 1.11; 95% confidence interval = 1.02, 1.21 for age 25 years or older vs younger than 25 years; P for trend = .04). Among parous women, the relationship between parity and longevity was significant among White but not Black women. White women with 2 to 4 term pregnancies compared with 1 term pregnancy had higher odds of longevity. CONCLUSIONS Reproductive events were associated with longevity among women. Future studies are needed to determine whether factors such as socioeconomic status explain associations between reproductive events and longevity.
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Affiliation(s)
- Aladdin H Shadyab
- Aladdin H. Shadyab and Andrea Z. LaCroix are with the Division of Epidemiology, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine, La Jolla. Margery L. S. Gass is with the North American Menopause Society, Emeritus, Cleveland, OH. Marcia L. Stefanick is with the Department of Medicine, Stanford Center for Prevention Research, Stanford University School of Medicine, Stanford, CA. Molly E. Waring is with the departments of Quantitative Health Sciences and Obstetrics and Gynecology, University of Massachusetts Medical School, Worcester. Caroline A. Macera and Richard A. Shaffer are with the Division of Epidemiology, Graduate School of Public Health, San Diego State University, San Diego, CA. Linda C. Gallo is with the Department of Psychology, San Diego State University. Sonia Jain is with the Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine
| | - Margery L S Gass
- Aladdin H. Shadyab and Andrea Z. LaCroix are with the Division of Epidemiology, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine, La Jolla. Margery L. S. Gass is with the North American Menopause Society, Emeritus, Cleveland, OH. Marcia L. Stefanick is with the Department of Medicine, Stanford Center for Prevention Research, Stanford University School of Medicine, Stanford, CA. Molly E. Waring is with the departments of Quantitative Health Sciences and Obstetrics and Gynecology, University of Massachusetts Medical School, Worcester. Caroline A. Macera and Richard A. Shaffer are with the Division of Epidemiology, Graduate School of Public Health, San Diego State University, San Diego, CA. Linda C. Gallo is with the Department of Psychology, San Diego State University. Sonia Jain is with the Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine
| | - Marcia L Stefanick
- Aladdin H. Shadyab and Andrea Z. LaCroix are with the Division of Epidemiology, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine, La Jolla. Margery L. S. Gass is with the North American Menopause Society, Emeritus, Cleveland, OH. Marcia L. Stefanick is with the Department of Medicine, Stanford Center for Prevention Research, Stanford University School of Medicine, Stanford, CA. Molly E. Waring is with the departments of Quantitative Health Sciences and Obstetrics and Gynecology, University of Massachusetts Medical School, Worcester. Caroline A. Macera and Richard A. Shaffer are with the Division of Epidemiology, Graduate School of Public Health, San Diego State University, San Diego, CA. Linda C. Gallo is with the Department of Psychology, San Diego State University. Sonia Jain is with the Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine
| | - Molly E Waring
- Aladdin H. Shadyab and Andrea Z. LaCroix are with the Division of Epidemiology, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine, La Jolla. Margery L. S. Gass is with the North American Menopause Society, Emeritus, Cleveland, OH. Marcia L. Stefanick is with the Department of Medicine, Stanford Center for Prevention Research, Stanford University School of Medicine, Stanford, CA. Molly E. Waring is with the departments of Quantitative Health Sciences and Obstetrics and Gynecology, University of Massachusetts Medical School, Worcester. Caroline A. Macera and Richard A. Shaffer are with the Division of Epidemiology, Graduate School of Public Health, San Diego State University, San Diego, CA. Linda C. Gallo is with the Department of Psychology, San Diego State University. Sonia Jain is with the Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine
| | - Caroline A Macera
- Aladdin H. Shadyab and Andrea Z. LaCroix are with the Division of Epidemiology, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine, La Jolla. Margery L. S. Gass is with the North American Menopause Society, Emeritus, Cleveland, OH. Marcia L. Stefanick is with the Department of Medicine, Stanford Center for Prevention Research, Stanford University School of Medicine, Stanford, CA. Molly E. Waring is with the departments of Quantitative Health Sciences and Obstetrics and Gynecology, University of Massachusetts Medical School, Worcester. Caroline A. Macera and Richard A. Shaffer are with the Division of Epidemiology, Graduate School of Public Health, San Diego State University, San Diego, CA. Linda C. Gallo is with the Department of Psychology, San Diego State University. Sonia Jain is with the Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine
| | - Linda C Gallo
- Aladdin H. Shadyab and Andrea Z. LaCroix are with the Division of Epidemiology, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine, La Jolla. Margery L. S. Gass is with the North American Menopause Society, Emeritus, Cleveland, OH. Marcia L. Stefanick is with the Department of Medicine, Stanford Center for Prevention Research, Stanford University School of Medicine, Stanford, CA. Molly E. Waring is with the departments of Quantitative Health Sciences and Obstetrics and Gynecology, University of Massachusetts Medical School, Worcester. Caroline A. Macera and Richard A. Shaffer are with the Division of Epidemiology, Graduate School of Public Health, San Diego State University, San Diego, CA. Linda C. Gallo is with the Department of Psychology, San Diego State University. Sonia Jain is with the Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine
| | - Richard A Shaffer
- Aladdin H. Shadyab and Andrea Z. LaCroix are with the Division of Epidemiology, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine, La Jolla. Margery L. S. Gass is with the North American Menopause Society, Emeritus, Cleveland, OH. Marcia L. Stefanick is with the Department of Medicine, Stanford Center for Prevention Research, Stanford University School of Medicine, Stanford, CA. Molly E. Waring is with the departments of Quantitative Health Sciences and Obstetrics and Gynecology, University of Massachusetts Medical School, Worcester. Caroline A. Macera and Richard A. Shaffer are with the Division of Epidemiology, Graduate School of Public Health, San Diego State University, San Diego, CA. Linda C. Gallo is with the Department of Psychology, San Diego State University. Sonia Jain is with the Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine
| | - Sonia Jain
- Aladdin H. Shadyab and Andrea Z. LaCroix are with the Division of Epidemiology, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine, La Jolla. Margery L. S. Gass is with the North American Menopause Society, Emeritus, Cleveland, OH. Marcia L. Stefanick is with the Department of Medicine, Stanford Center for Prevention Research, Stanford University School of Medicine, Stanford, CA. Molly E. Waring is with the departments of Quantitative Health Sciences and Obstetrics and Gynecology, University of Massachusetts Medical School, Worcester. Caroline A. Macera and Richard A. Shaffer are with the Division of Epidemiology, Graduate School of Public Health, San Diego State University, San Diego, CA. Linda C. Gallo is with the Department of Psychology, San Diego State University. Sonia Jain is with the Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine
| | - Andrea Z LaCroix
- Aladdin H. Shadyab and Andrea Z. LaCroix are with the Division of Epidemiology, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine, La Jolla. Margery L. S. Gass is with the North American Menopause Society, Emeritus, Cleveland, OH. Marcia L. Stefanick is with the Department of Medicine, Stanford Center for Prevention Research, Stanford University School of Medicine, Stanford, CA. Molly E. Waring is with the departments of Quantitative Health Sciences and Obstetrics and Gynecology, University of Massachusetts Medical School, Worcester. Caroline A. Macera and Richard A. Shaffer are with the Division of Epidemiology, Graduate School of Public Health, San Diego State University, San Diego, CA. Linda C. Gallo is with the Department of Psychology, San Diego State University. Sonia Jain is with the Division of Biostatistics and Bioinformatics, Department of Family Medicine and Public Health, University of California, San Diego School of Medicine
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