Men's preconception health and the social determinants of health: What are we missing?

Preconception health indicators among adult US men: Race/ethnicity variations and temporal trends

BACKGROUND

Preconception health is important for men as it is for women. However, optimizing preconception health is understudied among men.

OBJECTIVES

To examine the time trends and temporal shifts in preconception health risk indicators among 20-44-year-old adult US men in need of preconception care and their racial/ethnic variations.

MATERIALS AND METHODS

Data from the 2011-2019 National Survey of Family Growth male file was used to estimate the prevalence of nine preconception health indicators among men (20-44 years) intending to have a future pregnancy (n = 6813), stratifying by race/ethnicity, and assessing temporal changes across the study period. Binary logit and linear regression models estimated temporal trends from 2011-2013 to 2017-2019. Absolute and relative changes were estimated to detect temporal shifts in men's preconception health comparing 2011-2013 to 2017-2019.

RESULTS

Men in all groups exhibited substantial preconception health needs, with unique trends across race/ethnicity groups. Between 2011 and 2019, the prevalence of marijuana use (28.6%-39.4%, p = 0.001), overweight/obese status (60.7%-65.1%, p ≤ 0.001), and the mean number of preconception health indicators (M = 2.69-2.84, p = 0.018) increased. Among non-Hispanic White men, the prevalence of marijuana use (30.1%-41.4%, p = 0.028), overweight/obese status (60.6%-63.7%, p = 0.002), and mean number of preconception health risk indicators (M = 2.74-2.90, p = 0.033) increased. Among Hispanic men, the prevalence of inconsistent/no condom use (68.9%-81.4%, p = 0.022), marijuana use (18.9%-40.4%, p = 0.001), and the mean number preconception health risk indicators (M = 2.50-2.96, p = 0.014) increased. Among non-Hispanic Black men, sexually transmitted infections declined (5.4%-3.6%, p = 0.002). Significant temporal shifts, which varied by race/ethnicity, were also observed.

DISCUSSION AND CONCLUSION

Our study, which provides initial insight into men's preconception health development in the last decade, highlights a tremendous need for preconception health care among men. Their increasing preconception health needs, and their racial/ethnic variations, suggest additional contributors to racial/ethnic differences in men's reproductive outcomes and their long-term health.

Men's Preconception Health and Fertility Intentions: A Latent Class Analysis Approach

Men's pregnancy intention is associated with a host of positive outcomes for families, yet this topic remains understudied. Because unintended pregnancies are more likely to occur at suboptimal parental health, this study aimed to examine the extent to which men improve their preconception health in the context of future fertility planning. This study used pooled data from the 2011-2019 National Survey of Family Growth for a final sample size of 10,223. Latent class analysis (LCA) was used to identify distinct classes of men's preconception health. Eight preconception health risk factors were used to determine class membership. A classify-analyze approach was used to create the preconception health phenotype (PhP) exposure variable. The outcome of interest was men's fertility intentions. Multinomial regression models were used to examine the association between the exposure and the outcome. Three unique PhPs were identified (lowest risk, substance users, and sexual risk-takers) from the LCA model. Men in the substance users' group (22.9%) were characterized by high-risk alcohol use and drug use, while sexual risk-takers (8.1%) were characterized by having multiple sexual partners. Belonging in the phenotypes of substance users or sexual risk-takers was associated with increased odds for definite no fertility intention than definite yes intentions (adjusted odds ratio [aOR]: 1.47, 95% confidence interval [CI]: [1.18, 1.84] and aOR: 1.51, 95% CI: [1.13, 2.01], respectively). Results provide new insights on how preconception health can be measured and fills a knowledge gap on its relationship to men's future fertility planning. Findings can be applied to preconception care intervention frameworks, and guide family planning interventions and contraceptive counseling.