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      Socioeconomic Characteristics, Lifestyle Behaviors, and Health Conditions Among Males of Reproductive Age With and Without Disabilities, NHANES 2013–2018

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          Abstract

          Health status during the reproductive years influences fecundity, fertility, and the future health of males and their offspring. There remains a dearth of literature examining men’s preconception health, especially among high-risk populations, such as those with disabilities. The objective of this study was to examine indicators of preconception health, including chronic medical conditions, lifestyle behaviors, and health care utilization, among males of reproductive age with and without disabilities in the United States. Data were from 3,702 males of reproductive age (18–44 years) who participated in the National Health and Nutrition Examination Surveys, 2013–2018. Approximately 14% of males reported having at least one disability related to vision, hearing, cognition, mobility, self-care, or independent living. Among all men, suboptimal preconception health indicators were prevalent including poor or fair self-rated health; low education and household income status; lack of health insurance and no recent utilization of health care and dental care; cigarette smoking; frequent alcohol consumption and binge drinking; marijuana and illegal drug use; obesity; low fruit and vegetable intake and no multi-vitamin use; low physical activity; short sleep durations; depressive symptoms; and hypertension and asthma. Compared to males with no disabilities, males with any disabilities were more likely to have suboptimal preconception health indicators. Strategies to promote and improve sexual health, preconception care, and family planning services among all men are needed. For males with disabilities, specifically, further investigation of their specific health needs related to sex, reproduction, family planning, and fatherhood, as well as interactions with health care providers, is required.

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          The PHQ-9: validity of a brief depression severity measure.

          While considerable attention has focused on improving the detection of depression, assessment of severity is also important in guiding treatment decisions. Therefore, we examined the validity of a brief, new measure of depression severity. The Patient Health Questionnaire (PHQ) is a self-administered version of the PRIME-MD diagnostic instrument for common mental disorders. The PHQ-9 is the depression module, which scores each of the 9 DSM-IV criteria as "0" (not at all) to "3" (nearly every day). The PHQ-9 was completed by 6,000 patients in 8 primary care clinics and 7 obstetrics-gynecology clinics. Construct validity was assessed using the 20-item Short-Form General Health Survey, self-reported sick days and clinic visits, and symptom-related difficulty. Criterion validity was assessed against an independent structured mental health professional (MHP) interview in a sample of 580 patients. As PHQ-9 depression severity increased, there was a substantial decrease in functional status on all 6 SF-20 subscales. Also, symptom-related difficulty, sick days, and health care utilization increased. Using the MHP reinterview as the criterion standard, a PHQ-9 score > or =10 had a sensitivity of 88% and a specificity of 88% for major depression. PHQ-9 scores of 5, 10, 15, and 20 represented mild, moderate, moderately severe, and severe depression, respectively. Results were similar in the primary care and obstetrics-gynecology samples. In addition to making criteria-based diagnoses of depressive disorders, the PHQ-9 is also a reliable and valid measure of depression severity. These characteristics plus its brevity make the PHQ-9 a useful clinical and research tool.
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            Prevalence of Disabilities and Health Care Access by Disability Status and Type Among Adults — United States, 2016

            Persons with disabilities face greater barriers to health care than do those without disabilities ( 1 ). To identify characteristics of noninstitutionalized adults with six specific disability types (hearing, vision, cognition, mobility, self-care, and independent living),* and to assess disability-specific disparities in health care access, CDC analyzed 2016 Behavioral Risk Factor Surveillance System (BRFSS) data. The prevalences of disability overall and by disability type, and access to health care by disability type, were estimated. Analyses were stratified by three age groups: 18–44 years (young adults), 45–64 years (middle-aged adults), and ≥65 years (older adults). Among young adults, cognitive disability (10.6%) was the most prevalent type. Mobility disability was most prevalent among middle-aged (18.1%) and older adults (26.9%). Generally, disability prevalences were higher among women, American Indians/Alaska Natives (AI/AN), adults with income below the federal poverty level (FPL), and persons in the South U.S. Census region. Disability-specific disparities in health care access were prevalent, particularly among young and middle-aged adults. These data might inform public health programs of the sociodemographic characteristics and disparities in health care access associated with age and specific disability types and guide efforts to improve access to care for persons with disabilities.
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              Recommendations to improve preconception health and health care--United States. A report of the CDC/ATSDR Preconception Care Work Group and the Select Panel on Preconception Care.

              This report provides recommendations to improve both preconception health and care. The goal of these recommendations is to improve the health of women and couples, before conception of a first or subsequent pregnancy. Since the early 1990s, guidelines have recommended preconception care, and reviews of previous studies have assessed the evidence for interventions and documented the evidence for specific interventions. CDC has developed these recommendations based on a review of published research and the opinions of specialists from the CDC/ATSDR Preconception Care Work Group and the Select Panel on Preconception Care. The 10 recommendations in this report are based on preconception health care for the U.S. population and are aimed at achieving four goals to 1) improve the knowledge and attitudes and behaviors of men and women related to preconception health; 2) assure that all women of childbearing age in the United States receive preconception care services (i.e., evidence-based risk screening, health promotion, and interventions) that will enable them to enter pregnancy in optimal health; 3) reduce risks indicated by a previous adverse pregnancy outcome through interventions during the interconception period, which can prevent or minimize health problems for a mother and her future children; and 4) reduce the disparities in adverse pregnancy outcomes. The recommendations focus on changes in consumer knowledge, clinical practice, public health programs, health-care financing, and data and research activities. Each recommendation is accompanied by a series of specific action steps and, when implemented, can yield results within 2-5 years. Based on implementation of the recommendations, improvements in access to care, continuity of care, risk screening, appropriate delivery of interventions, and changes in health behaviors of men and women of childbearing age are expected to occur. The implementation of these recommendations will help achieve Healthy People 2010 objectives. The recommendations and action steps are a strategic plan that can be used by persons, communities, public health and clinical providers, and governments to improve the health of women, their children, and their families. Improving preconception health among the approximately 62 million women of childbearing age will require multistrategic, action-oriented initiatives.
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                Author and article information

                Journal
                Am J Mens Health
                Am J Mens Health
                JMH
                spjmh
                American Journal of Men's Health
                SAGE Publications (Sage CA: Los Angeles, CA )
                1557-9883
                1557-9891
                18 July 2023
                Jul-Aug 2023
                : 17
                : 4
                : 15579883221138190
                Affiliations
                [1 ]Public Health Nutrition, School of Global Public Health, New York University, New York, NY, USA
                [2 ]Epidemiology, School of Global Public Health, New York University, New York, NY, USA
                [3 ]Department of Child and Adolescent Psychiatry, New York University Grossman School of Medicine, New York, NY, USA
                Author notes
                [*]Andrea L. Deierlein, Public Health Nutrition, School of Global Public Health, New York University, 708 Broadway Room 431, New York, NY 10003, USA. Email: ald8@ 123456nyu.edu
                Author information
                https://orcid.org/0000-0002-2731-4080
                Article
                10.1177_15579883221138190
                10.1177/15579883221138190
                10357054
                37462134
                e0192331-4267-459e-b648-acf70ed65d08
                © The Author(s) 2023

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 7 June 2022
                : 17 October 2022
                : 25 October 2022
                Funding
                Funded by: research foundation of the city university of new york, FundRef https://doi.org/10.13039/100004870;
                Categories
                Original Article
                Custom metadata
                July-August 2023
                ts1

                disability,preconception health,health disparities,reproductive health

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