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      Breastfeeding duration and subsequent risk of mortality among US women: A prospective cohort study

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          Summary

          Background

          Breastfeeding has been associated with a reduced maternal long-term risk of chronic diseases, but its association with mortality is poorly known.

          Methods

          We included 166,708 female United States (US) nurses from the Nurses’ Health Study (1986-2016) and the Nurses’ Health Study II (1989-2019) who experienced at least one pregnancy lasting at least six months across their reproductive lifespan. Hazard ratios and 95% confidence intervals (CI) for mortality according to lifetime breastfeeding duration were estimated with time-dependent Cox proportional hazards regression models.

          Findings

          During 4,705,160 person-years of follow-up, 36,634 deaths were documented in both cohorts, including 9880 from cancer and 7709 from cardiovascular disease (CVD). Lifetime total breastfeeding duration was associated with a lower subsequent risk of all-cause mortality in a non-linear manner (p-value for non-linearity=0.0007). The pooled multivariable-adjusted hazard ratios of all-cause mortality were 0.95 (95% CI: 0.92 to 0.98), 0.94 (95% CI: 0.91 to 0.98), 0.93 (95% CI: 0.90 to 0.97), and 0.93 (95% CI: 0.89 to 0.97), respectively, for women reporting lifetime total breastfeeding duration of 4–6, 7–11, 12–23, and ≥24 months, compared to women who breastfed for ≤3 months over their reproductive lifespan. Cause-specific analysis showed a similar pattern of non-linear inverse associations between lifetime total breastfeeding duration and CVD and cancer mortality (both p-values for non-linearity <0.01). There was no evidence of interactions between breastfeeding duration and pre-pregnancy lifestyle factors on mortality risk.

          Interpretation

          Parous women with longer lifetime breastfeeding duration had a modestly lower risk of mortality.

          Funding

          The National Institutes of Health grants.

          Related collections

          Most cited references37

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          Breastfeeding in the 21st century: epidemiology, mechanisms, and lifelong effect.

          The importance of breastfeeding in low-income and middle-income countries is well recognised, but less consensus exists about its importance in high-income countries. In low-income and middle-income countries, only 37% of children younger than 6 months of age are exclusively breastfed. With few exceptions, breastfeeding duration is shorter in high-income countries than in those that are resource-poor. Our meta-analyses indicate protection against child infections and malocclusion, increases in intelligence, and probable reductions in overweight and diabetes. We did not find associations with allergic disorders such as asthma or with blood pressure or cholesterol, and we noted an increase in tooth decay with longer periods of breastfeeding. For nursing women, breastfeeding gave protection against breast cancer and it improved birth spacing, and it might also protect against ovarian cancer and type 2 diabetes. The scaling up of breastfeeding to a near universal level could prevent 823,000 annual deaths in children younger than 5 years and 20,000 annual deaths from breast cancer. Recent epidemiological and biological findings from during the past decade expand on the known benefits of breastfeeding for women and children, whether they are rich or poor.
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            Dose-response analyses using restricted cubic spline functions in public health research.

            Taking into account a continuous exposure in regression models by using categorization, when non-linear dose-response associations are expected, have been widely criticized. As one alternative, restricted cubic spline (RCS) functions are powerful tools (i) to characterize a dose-response association between a continuous exposure and an outcome, (ii) to visually and/or statistically check the assumption of linearity of the association, and (iii) to minimize residual confounding when adjusting for a continuous exposure. Because their implementation with SAS® software is limited, we developed and present here an SAS macro that (i) creates an RCS function of continuous exposures, (ii) displays graphs showing the dose-response association with 95 per cent confidence interval between one main continuous exposure and an outcome when performing linear, logistic, or Cox models, as well as linear and logistic-generalized estimating equations, and (iii) provides statistical tests for overall and non-linear associations. We illustrate the SAS macro using the third National Health and Nutrition Examination Survey data to investigate adjusted dose-response associations (with different models) between calcium intake and bone mineral density (linear regression), folate intake and hyperhomocysteinemia (logistic regression), and serum high-density lipoprotein cholesterol and cardiovascular mortality (Cox model). 2010 John Wiley & Sons, Ltd.
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              Test of the National Death Index and Equifax Nationwide Death Search.

              The authors compared the ability of the National Death Index and the Equifax Nationwide Death Search to ascertain deaths of participants in the Nurses' Health Study. Each service was sent information on 197 participants aged 60-68 years in 1989 whose deaths were reported by kin or postal authorities and 1,997 participants of the same age who were known to be alive. Neither service was aware of the authors' information regarding participants' vital status. The sensitivity of the National Death Index was 98 percent and that of Equifax was 79 percent. Sensitivity was similar for women aged 65-68 years; however, for women aged 61-64 years, the sensitivity of the National Death Index was 97.7 percent compared with 60.2 percent for Equifax. The specificity of both services was approximately 100 percent. The contrast between the sources of these databases and the matching algorithms they employ has implications for researchers and for those planning health data systems.
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                Author and article information

                Contributors
                Journal
                eClinicalMedicine
                EClinicalMedicine
                eClinicalMedicine
                Elsevier
                2589-5370
                13 October 2022
                December 2022
                13 October 2022
                : 54
                : 101693
                Affiliations
                [a ]Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
                [b ]Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
                [c ]Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
                [d ]Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, USA
                [e ]Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
                [f ]Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
                [g ]Department of Public Health, Robbins College of Health and Human Sciences, Baylor University, Waco, TX, USA
                [h ]Department of Obstetrics, Gynecology and Reproductive Biology, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA
                Author notes
                [* ]Corresponding author at: Harvard T.H. Chan School of Public Health, Building II 3rd floor, 655 Huntington Avenue, Boston, MA 02115, USA. yixinwang@ 123456hsph.harvard.edu
                Article
                S2589-5370(22)00423-0 101693
                10.1016/j.eclinm.2022.101693
                9574410
                36263395
                989eaeff-fc20-46b9-9006-dce9e893fea9
                © 2022 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 1 July 2022
                : 21 September 2022
                : 22 September 2022
                Categories
                Articles

                breastfeeding duration,mortality,cohort study,women's health

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