Do disability, parenthood, and gender matter for health disparities?: A US population-based study

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

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.

Characterization of People with Functional Limitations from ICF Components Using the Longitudinal Social Protection Survey (ELPS) of Uruguay

Characterising people with disabilities at the population level using the ICF approach is a challenge, as it implies that researchers are able to identify variables that can account for the components that make up the multidimensional definition of disability. The purpose of this study is to generate updated information on disability in Uruguay, as there has been no in-depth analysis of how this population lives, how they access the services and benefits that affect their quality of life, and what the significant differences are between those who make up this population. A quantitative analysis was applied to the target population, consisting of participants in the Longitudinal Survey of Social Protection (2016) who reported at least one limitation in performing ADLs and who were in the age range of 18–64 years. Significant differences were found between the different groups in terms of their reported limitations in relation to obtaining necessary services due to their health condition, dropping out of education before completing the compulsory level, low labour market insertion, feelings of loneliness, and low participation. More research needs to be done as it is clear that people with disabilities do not have access to the support they need, which leads to even greater exclusion.

Birth intentions among US fathers with disabilities

BACKGROUND

Men's birth intention is an indicator of their sexual health and plays an important role for their child's health and development; however, birth intendedness in fathers with disabilities has been unknown.

OBJECTIVE

This study examines disparities in birth intendedness among fathers with and without disabilities and explores whether the differences vary by marital status or race/ethnicity.

METHODS

Data from the 2011-2017 National Survey of Family Growth (NSFG) were used to examine pregnancy intendedness for fathers with (n = 380) and without disabilities (n = 1,324) about their last birth in the five years preceding the interview. Multinomial regression models estimated the odds ratios of fathers' disability status on birth intention controlling for covariates. Interaction effects of disability status by marital status or race/ethnicity were also tested.

RESULTS

Fathers with disabilities were 1.89 (95% CI = 1.21, 2.95) times as likely to report their last birth as unwanted versus intended compared to those without disabilities after adjusting for covariates. Although married fathers without disabilities were less likely to report unintended birth than their unmarried counterparts, the protective effect of marriage was not evident among fathers with disabilities.

CONCLUSIONS

Disabled fathers are at a higher risk of unintended birth compared to nondisabled fathers. These findings highlight the need to increase access to family planning services for disabled men. Further research is needed to better understand the risk factors that contribute to disabled fathers' unintended birth and how these are linked to their child and family well-being.

Association between Living with Children and the Health and Health Behavior of Women and Men. Are There Differences by Age? Results of the "German Health Update" (GEDA) Study

Does the health of women and men living with and without minor children differ, and are age differences evident in the association? For self-rated general health, depression, back pain, overweight, smoking and sporting inactivity, the GEDA data 2009-2012 (18-54 years, n = 39,096) were used to calculate prevalence for women and men stratified by parental status (living with children: yes/no) and age. Moreover, we calculated odds ratios and predictive margins, performing logistic regressions with interaction terms of parental status and age. Women and men aged 45-54 living with children are healthier than those not living with children. Parents aged 18-24 smoke more frequently and do less sport; young mothers are also more likely to be overweight and suffer from back pain than women not living with children. In multivariable analysis, the interaction of living with children and age is significant for all outcomes (except depression and back pain in men). Living with children is an important social determinant of health, highly dependent on age. It is to be discussed whether the bio-psycho-social situation has an influence on becoming a parent, or whether parenthood in different phases of life strains or enhances health.

A population-based measure of chronic disease severity for health planning and evaluation in the United States

In the healthcare sector, patients can be categorized into clinical risk groups, which are based, in part, on multiple chronic conditions. Population-based measures of clinical risk groups for population health planning, however, are not available. Using responses of working-age adults (19-64 years old) from the Behavioral Risk Factor Surveillance System for survey years 2015-2017, a population-based measure of chronic disease severity (CDS) was developed as a proxy for clinical risk groups. Four categories of CDS were developed: low, medium-low, medium-high, and high, based on self-reported diagnoses of multiple chronic conditions, weighted by hospitalization costs. Prevalence estimates of CDS were prepared, by population demographics and state characteristics, and CDS association with perceived health-related quality of life (HRQOL) was evaluated. Age-adjusted CDS varied from 72.9% (95% CI: 72.7-73.1%) for low CDS, to 21.0% (95% CI: 20.8-21.2%), 4.4% (95% CI: 4.3-4.5%) and 1.7% (95% CI: 1.6-1.8%) for medium-low, medium-high, and high CDS, respectively. The prevalence of high CDS was significantly greater (p < 0.05) among older adults, those living below the federal poverty level, and those with disabilities. The adjusted odds of fair/poor perceived HRQOL among adults with medium-low or medium-high/high CDS were 2.39 times (95% CI: 2.30-2.48) or 6.53 times (95% CI: 6.22-6.86) higher, respectively, than adults with low CDS. Elevated odds of fair/poor HRQOL with increasing CDS coincided with less prevalence of high CDS among men, minority race/ethnicities, and adults without insurance, suggesting a link between CDS and risk of mortality. Prevalence of high CDS was significantly higher (p < 0.05) in states with lower population density, lower per capita income, and in states that did not adopt the ACA. These results demonstrate the relevance of a single continuous population-based measure of chronic disease severity for health planning at the state, regional, and national levels.