Work-life interference and health by race/ethnicity and sex in the United States.

Work-life interference has detrimental impacts on health outcomes. However, there are potential differences in these associations at the intersection of race/ethnicity and sex. The aim of this study was to examine whether race/ethnicity moderates the associations of work-life interference with health outcomes among women and men. Using data from the 2015 National Health Interview Survey on adults (age ≥ 18 years) who self-identified as non-Hispanic Asian, non-Hispanic Black, Hispanic, or non-Hispanic White in the U.S. (n = 17,492), the associations of work-life interference with self-rated health, psychological distress, and body mass index (BMI) were assessed using multiplicative interaction terms. Work-life interference was associated with higher log-odds of worse self-rated health (log-odds = 0.17, standard error (s.e.) = 0.06) and more psychological distress (ß = 1.32, s.e. = 0.13) in men. Work-life interference was similarly positively associated with worse self-rated health (log-odds = 0.27, s.e. = 0.06) and psychological distress (ß = 1.39, s.e. = 0.16) among women as well. A stronger association between work-life interference and psychological distress was observed among non-Hispanic Asian women compared to non-Hispanic White women (ß = 1.42, s.e. = 0.52) and a stronger association between work-life interference and BMI was observed among non-Hispanic Black women compared to non-Hispanic White women (ß = 3.97, s.e. = 1.93). The results suggest detrimental impacts of work-life interference on self-rated health and psychological distress. Yet, the variation in the associations of work-life interference with psychological distress and BMI among women suggest that an intersectional lens should be applied. Efforts to understand and address the negative effects of work-life interference on health should consider potentially unique associations across race/ethnicity and sex.

Causal Inference in Studying the Long-Term Health Effects of Disasters: Challenges and Potential Solutions.

Two frequently encountered but underrecognized challenges for causal inference in studying the long-term health effects of disasters among survivors include 1) time-varying effects of disasters on a time-to-event outcome and 2) selection bias due to selective attrition. In this paper, we review approaches for overcoming these challenges and demonstrate application of the approaches to a real-world longitudinal data set of older adults who were directly affected by the 2011 Great East Japan Earthquake and Tsunami (n = 4,857). To illustrate the problem of time-varying effects of disasters, we examined the association between degree of damage due to the tsunami and all-cause mortality. We compared results from Cox regression analysis assuming proportional hazards with those derived using adjusted parametric survival curves allowing for time-varying hazard ratios. To illustrate the problem of selection bias, we examined the association between proximity to the coast (a proxy for housing damage from the tsunami) and depressive symptoms. We corrected for selection bias due to attrition in the 2 postdisaster follow-up surveys (conducted in 2013 and 2016) using multivariable adjustment, inverse probability of censoring weighting, and survivor average causal effect estimation. Our results demonstrate that analytical approaches which ignore time-varying effects on mortality and selection bias due to selective attrition may underestimate the long-term health effects of disasters.

Exploring the relationship between functional limitations of the older adults and the health-related quality of life of their spouse in Shaanxi Province, China.

BACKGROUND: With trends towards longer life expectancy, lifetime with disability has also been prolonged. It is increasingly recognized that not only the person with disability but also those around them are affected. The relationship between functional limitation (FL) of the older adults and health-related quality of life (HRQoL) of their spouse is of interest. So too is the determination of the factors aside from FL that influence HRQoL. METHODS: The sample was derived from the 2013 National Health Service Survey conducted in Shaanxi Province in China. Married couples aged ≥ 60 years were selected (n = 3463). The European quality of life five dimensions (EQ-5D) and visual analogue scale were used to measure HRQoL. RESULTS: Both wife and husband reported lower HRQoL if either the male or female partner had some or serious FLs (P < 0.001). Other factors associated with lower HRQoL of the spouse included age, lower educational level, presence of chronic disease, and lower household economic status. Family size was associated with wife's HRQoL only when the male had no FL and lived with another 1-2 persons, or when the male had some FLs and lived in a larger family (n ≥ 5). Residential status did not relate to the HRQoL of spouses regardless of FL status. CONCLUSIONS: Older adults in Shaanxi province who have partners with FLs tend to report poorer EQ-5D, suggesting that couples amongst whom one has FL may be particularly vulnerable to lower HRQoL.

Accuracy of resting metabolic rate prediction equations among healthy adults in Trinidad and Tobago.

BACKGROUND: Over 50% of adults in Latin America and the Caribbean have a body mass index (BMI) ≥ 25 suggesting excess energy intakes relative to energy expenditure. Accurate estimation of resting metabolic rate (RMR), the largest component of total energy requirements, is crucial to strategies aimed at reducing the prevalence and incidence of overweight and obesity. AIM: We evaluated the accuracies of established and locally developed RMR prediction equations (RMRP) among adults. METHODS: Four hundred adult volunteers ages 20 to 65 years had RMR measured (RMRM) with a MedGem® indirect calorimeter according to recommended procedures. RMRP were compared to RMRM with values ± 10% of RMRM deemed accurate. Anthropometry was measured using standard procedure. Linear regression with bootstrap analyses was used to develop local RMRP equations based on anthropometric and demographic variables. The University of the West Indies Ethics Committee approved the study. RESULTS: Males had higher mean absolute RMR (p < 0.001) but similar mean age-adjusted measured RMR per kg of body (20.9 vs. 21.5 kcals/day; p = 0.1) to females. The top performing established anthropometry-based RMRP among participants by sex, physical activity (PA) level and BMI status subgroups were Mifflin-St Jeor, Owen, Korth, Harris-Benedict, and Livingston, while Johnstone, Cunningham, Müller (body composition (BC)), Katch and McArdle, Mifflin-St Jeor (BC) were the most accurate BC-based RMRP. Locally developed RMRP had accuracies comparable to their top-ranked established RMRP counterparts. CONCLUSIONS: Accuracies of established RMRP depended on habitual PA level, BMI status, BC and sex. Furthermore, locally developed RMRP provide useful alternatives to established RMRP.

Religion, Age, Education, Lifestyle, and Health: Structural Equation Modeling.

This study aimed to analyze the moderating effect of religion between sociodemographic variables, lifestyle, and self-referred physical and mental health. Cross-sectional study with non-randomized sample of 392 participants. The Eight Natural Remedies Questionnaire was used to assess lifestyle. Religion was found to be positive predictor between age, education and lifestyle, better physical and mental health. Being an Adventist positively influenced the lifestyle (r = 0.680; p < 0.05) and consequently physical (r = 0.222) and mental health (r = 0.220). Belonging to a religion that emphasizes a healthy lifestyle is a contributing factor toward better lifestyle, physical and mental health.

State of the Art: the Not-So-Great Wall of America.

PURPOSE OF REVIEW: This paper aims to review the literature regarding the impact of Donald Trump's candidacy and presidency on the health of immigrants in America. RECENT FINDINGS: The increase in detentions of alleged undocumented immigrants under the Trump presidency, especially his administration's attempts to detain children apart from their families, have placed thousands into conditions that can have long-lasting physical and mental health effects. Similarly, the Trump administration's efforts to increase deportations and restrict legal immigration has lead to immigrants' seeking fewer health-care resources for fear of jeopardizing their or their loved ones' chances of remaining in this country. The rhetoric used and policies pursued by Donald Trump have had a measurable adverse impact on the health of documented and undocumented immigrants in America.

Cohort profile: Beyond birth cohort study - The Korean CHildren's ENvironmental health Study (Ko-CHENS).

The Korean CHildren's ENvironmental health Study (Ko-CHENS) is a nationwide prospective birth cohort showing the correlation between the environmental exposures and the health effects to prevent the environmental diseases in children, and it provides the guidelines for the environmental hazardous factors, applying the life-course approach to the environmental-health management system. The Ko-CHENS consists of 5000 Core and 65,000 Main Cohorts. The children in the Core Cohort are followed up at 6 months, every year before their admission into the elementary school, and every 3 years from the first year after this admission. The children in the Cohort will be followed up through the data links (Statistics Korea, National Health Insurance Service [NHIS], and Ministry of Education). The individual biospecimens will be analyzed for 19 substances. The long-term-storage biological samples will be used for the further substance analysis. The Ko-CHENS will investigate whether the environmental variables including the perinatal outdoor and indoor factors and the greenness contribute causally to the health outcomes in the children and adolescents. In addition to the individual surveys, the assessments of the outdoor exposures and health outcomes will use the national air-quality monitoring data and claim data of the NHIS, respectively. The two big-data forms of the Ko-CHENS are as follows: The Ko-CHENS data that can be linked with the nationally registered NHIS health-related database, including the medical utilization and the periodic health screening, and the birth/mortality database in the Statistics; the other is the Big-CHENS dataset that is based on the NHIS mother delivery code, for which the follow-up of almost 97% of the total birth population is expected. The Ko-CHENS is a very cost-effective study that fully exploits the existing national big-data systems with the data linkage.

Four-Meter Gait Speed: Normative Values and Reliability Determined for Adults Participating in the NIH Toolbox Study.

OBJECTIVES: To establish reference values and determine test-retest reliability for usual and maximal 4-meter gait speed. DESIGN: Cross-sectional observational study. SETTING: Offices in 10 geographically dispersed cities in the United States. PARTICIPANTS: Men and women (N=1320), aged 18 to 85 years, enrolled in the National Institutes of Health Toolbox norming study. INTERVENTION: Not applicable. MAIN OUTCOME MEASURES: Specifically used were data from men and women who were timed over 4 meters (after a static start) while walking at their usual and maximum speeds. Norms for usual and maximum gait speed were derived using data from 1320 participants. Test-retest reliability for 164 participants was described using paired t tests, intraclass correlation coefficients (ICCs), and minimal detectable changes (MDCs). RESULTS: Mean usual speed was 1.12 meters per second, whereas mean maximum speed was 1.61 meters per second. As a general linear model showed 4-meter gait speed to differ significantly according to gait condition (speed), sex, and age group; estimates of normal were calculated accordingly. The usual speed of 80- to 85-year-old women was lowest at 0.95 meters per second; the maximum speed of 18- to 29-year-old men was highest at 1.85 meters per second. Test-retest measures did not differ significantly, but the ICCs were only fair and the MDCs were high. CONCLUSIONS: Normative reference values provided herein may be helpful in interpreting measurements of 4-meter gait speed obtained from adult men and women. The limited reliability of the gait speed measurements, however, limits their usefulness in making judgments regarding change.

Effects of income supplementation on health of the poor elderly: the case of Mexico.

We use an income supplementation experiment we designed in the state of Yucatan in Mexico for residents 70 y and older to evaluate health impacts of additional income. Two cities in the State of Yucatan, Valladolid (treatment) and Motul (control), were selected for the income supplementation experiment. Elderly residents of Valladolid were provided the equivalent of an additional $67 per month, a 44% increase in average household income. We designed a survey given to residents of both cities before and 6 mo after the income supplement about their health and other aspects of overall well-being. Both baseline and follow-up surveys collect self-reported data on health, physical functioning, and biomarkers. Anthropometric measurements for every age-eligible respondent, including height, weight, and waist circumference, were collected. We also collected lung capacity, grip strength, a series of balance tests, and a timed walk. Our results show significant health benefits associated with the additional income. Relative to the control site, there was a statistically significant improvement in lung function and an improvement in memory. These improvements are equivalent to a reduction in age of 5-10 y. Residents used their extra income to go to the doctor, buy their medications, and alleviate their hunger. The fear that this extra income could be undone by reduced transfers from other family members or unwise expenditures by the poor elderly appears to be unfounded.

Improving interpretation of publically reported statistics on health and healthcare: the Figure Interpretation Assessment Tool (FIAT-Health).

BACKGROUND: Policy-makers, managers, scientists, patients and the general public are confronted daily with figures on health and healthcare through public reporting in newspapers, webpages and press releases. However, information on the key characteristics of these figures necessary for their correct interpretation is often not adequately communicated, which can lead to misinterpretation and misinformed decision-making. The objective of this research was to map the key characteristics relevant to the interpretation of figures on health and healthcare, and to develop a Figure Interpretation Assessment Tool-Health (FIAT-Health) through which figures on health and healthcare can be systematically assessed, allowing for a better interpretation of these figures. METHODS: The abovementioned key characteristics of figures on health and healthcare were identified through systematic expert consultations in the Netherlands on four topic categories of figures, namely morbidity, healthcare expenditure, healthcare outcomes and lifestyle. The identified characteristics were used as a frame for the development of the FIAT-Health. Development of the tool and its content was supported and validated through regular review by a sounding board of potential users. RESULTS: Identified characteristics relevant for the interpretation of figures in the four categories relate to the figures' origin, credibility, expression, subject matter, population and geographical focus, time period, and underlying data collection methods. The characteristics were translated into a set of 13 dichotomous and 4-point Likert scale questions constituting the FIAT-Health, and two final assessment statements. Users of the FIAT-Health were provided with a summary overview of their answers to support a final assessment of the correctness of a figure and the appropriateness of its reporting. CONCLUSIONS: FIAT-Health can support policy-makers, managers, scientists, patients and the general public to systematically assess the quality of publicly reported figures on health and healthcare. It also has the potential to support the producers of health and healthcare data in clearly communicating their data to different audiences. Future research should focus on the further validation of the tool in practice.

[Health care, needs and barriers in seeking medical care for global health and sexual and reproductive health, among students from Félix Houphouët-Boigny University, Abidjan, Côte d'Ivoire]. / Recours aux soins de santé globale et de santé sexuelle et reproductive, chez les étudiants de l'université Houphouët-Boigny, Abidjan, Côte d'Ivoire.

BACKGROUND: In Ivory Coast, little is known about health needs and health access barriers among young people. The aim of this study was to describe health provision, health needs and barriers when seeking medical care, with an emphasis on sexual and reproductive health, and the acceptability of a medical examination for students attending their first year at the Houphouët-Boigny University, Abidjan, Ivory Coast. METHODS: We conducted a representative cross-sectional study among second year students who were selected by two-stage equiprobable random sampling. In-depth interviews were conducted among students and the university health center staff. RESULTS: Five hundred and forty three students (322 men and 221 women) answered a questionnaire (participation rate 98.4%). Among women who ever had sex, 38.4% (95%CI [30.5%-47.0%]) had unmet contraception needs and 31.2% [23.7%-40.0%] had experienced an unwanted pregnancy. Fear about impaired fertility was the leading reason for non-use of hormonal contraception, the method of choice among most students. The main health problems among students, by order of frequency were malaria (54.3%), respiratory infection (44.6%), constipation (28.0%) and psychological problems (25.9%). High cost perception of services offered, despite their gratuity, were the main barriers against access to the university health center, indicating a lack of communication about this structure and its services. The majority of students favored the establishment of a medical examination during the first year at the university. CONCLUSION: Establishing a medical examination would improve health center visibility. The following services could be offered: (i) HIV, chlamydia and gonorrhea screening, (ii) hepatitis B virus screening and vaccination, (iii) provision and information about contraceptive methods, (iv) presentation of the university health center services. Dedicated spaces where students could have access to information about health-related topics (e.g. sexuality, nutrition, depression) could complete the university's healthcare offer.

The impact of stratification by implausible energy reporting status on estimates of diet-health relationships.

The food frequency questionnaire (FFQ) is known to be prone to measurement error. Researchers have suggested excluding implausible energy reporters (IERs) of FFQ total energy when examining the relationship between a health outcome and FFQ-reported intake to obtain less biased estimates of the effect of the error-prone measure of exposure; however, the statistical properties of stratifying by IER status have not been studied. Under certain assumptions, including nondifferential error, we show that when stratifying by IER status, the attenuation of the estimated relative risk in the stratified models will be either greater or less in both strata (implausible and plausible reporters) than for the nonstratified model, contrary to the common belief that the attenuation will be less among plausible reporters and greater among IERs. Whether there is more or less attenuation depends on the pairwise correlations between true exposure, observed exposure, and the stratification variable. Thus exclusion of IERs is inadvisable but stratification by IER status can sometimes help. We also address the case of differential error. Examples from the Observing Protein and Energy Nutrition Study and simulations illustrate these results.

Importance of physical health and health-behaviors in adolescence for risk of dropout from secondary education in young adulthood: an 8-year prospective study.

BACKGROUND: Education and health constitute two interlinked assets that are highly important to individuals. In Iceland, prevalence of dropout from secondary education poses a considerable problem. This 8-year prospective study assesses to what extent poor physical health and negative health-behaviors of Icelandic adolescents predict increased odds of dropout from secondary education. METHODS: The sample included n = 201 Icelandic children who participated at age 15 (baseline) and again at age 23 (follow-up). Data included objective measurements of physical health and questionnaires assessing health-behaviors, education status, parental education, neighborhood characteristics, self-esteem, and depression. Independent t-tests and chi-square were used to assess differences in physical health and health-behaviors at follow-up stratified by education status. Ordinal regression models were conducted to assess whether physical health and health-behaviors at age 15 predicted increased odds of dropout from secondary education at age 23, independent of gender, parental education and psychological factors. RESULTS: At age 23, 78 % of girls and 71 % of boys had completed a secondary education. Completion of a secondary education was associated with significant health benefits, especially among women. Women without a secondary education had lower fitness, more somatic complaints, higher diastolic blood pressure, less sports participation, and poorer sleep, whilst men without a secondary education watched more television. In logistic regression models somatic complaints during adolescence were associated with 1.09 (95 % CI: 1.02-1.18) higher odds of dropout from secondary education in young adulthood, independent of covariates. Health-behaviors associated with higher dropout odds included smoking (3.67, 95 % CI: 1.50-9.00), alcohol drinking (2.57, 95 % CI: 1.15-5.75), and time spent watching television (1.27, 95 % CI:1.03-1.56), which were independent of most covariates. Finally, mother's higher education was strongly associated with significantly lower dropout odds (OR 0.54, 95 % CI: 0.34-0.88) independent of father's education and psychological factors, whilst high self-esteem was independently associated with lower dropout odds (OR 0.91, 95 % CI: 0.85-0.98). CONCLUSIONS: Completion of a secondary education yields substantial physical health benefits for young women, but not for men. Importantly, somatic complaints and negative health-behaviors among adolescent boys and girls adversely impact their educational outcomes later in life, and may have widespread consequences for their future prospects.