Men's Income Trajectories and Physical and Mental Health at Midlife.
Ontology highlight
ABSTRACT:
SUBMITTER: Frech A
PROVIDER: S-EPMC8231310 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Importance:National longitudinal studies that examine the linkages between early family experiences and sex-specific development of depression across the life course are lacking despite the urgent need for interventions in family settings to prevent adult depression. Objective:To examine whether positive adolescent family relationships are associated with reduced depressive symptoms among women and men as they enter midlife. Design, Setting, and Participants:This study analyzed data from the National Longitudinal Study of Adolescent to Adult Health, which used a multistage, stratified school-based design to select a prospective cohort of 20?745 adolescents in grades 7 to 12 from January 3, 1994, to December 26, 1995 (wave 1). Respondents were followed up during 4 additional waves from April 14 to September 9, 1996 (wave 2); April 2, 2001, to May 9, 2002 (wave 3); April 3, 2007, to February 1, 2009 (wave 4); and March 3, 2016, to May 8, 2017 (sample 1, wave 5), when the cohort was aged 32 to 42 years. The study sample of 8952 male adolescents and 9233 female adolescents that were analyzed was a US national representation of all population subgroups by sex, race/ethnicity, socioeconomic status, and geography. Exposures:Adolescent family cohesion and low parent-child conflict. Main Outcomes and Measures:Levels of depressive symptoms (Center for Epidemiologic Studies-Depression Scale [CES-D]) from ages 12 to 42 years were used to estimate propensity score-weighted growth curve models to assess sex differences in trajectories of depression by levels of positive adolescent family relationships. Results:A total of 18 185 individuals (mean [SD] age at wave 1, 15.42 [0.12] years; 9233 [50.8%] female) participated in the study. Females and males who experienced positive adolescent family relationships had significantly lower levels of depressive symptoms from early adolescence to midlife than did those who experienced less positive adolescent family relationships. For example, depressive symptoms were lower among those with high levels of family cohesion compared with those with low cohesion between 12 (1.26 lower CES-D score; 95% CI, 1.10-1.42) and 40 (0.78 lower CES-D score; 95% CI, 0.50-1.06) years of age among females and between 12 (0.72 lower CES-D score; 95% CI, 0.57-0.86) and 37 (0.21 lower CES-D score; 95% CI, 0.00-0.41) years of age among males. The reduction in depressive symptoms associated with positive adolescent family relationships was greater for females than males during the adolescent and early adulthood years (ie, early 20s) (eg, low-high cohesion difference in mean CES-D score, -1.26 [95% CI, -1.42 to -1.10] for females and -0.72 [95% CI, -0.86 to -0.57] for males at 12 years of age; low-high cohesion difference in mean CES-D score, -0.61 [95% CI, -0.69 to -0.53] for females and -0.40 [95% CI, -0.48 to -0.31] for males at 20 years of age), after which females and males benefited equally from positive adolescent relationships throughout young adulthood to midlife. Conclusions and Relevance:The findings suggest that positive adolescent family relationships are associated with better mental health among females and males from early adolescence to midlife. Interventions in early family life to foster healthy mental development throughout the life course appear to be important.
| S-EPMC6784807 | biostudies-literature
Project description:Introduction: Despite substantial interest in the development of health behaviors, there is limited research that has examined the longitudinal relationship between physical activity (PA) and smoking trajectories from youth to adulthood in a Finnish population. This study aimed to identify trajectories of smoking and PA for males and females, and study the relationship between these trajectories from youth to adulthood. Methods: Latent profile analysis (LPA) was used to identify trajectories of smoking and PA separately for males and females among 3355 Finnish adults (52.1% females). Participants' smoking and PA were assessed five to eight times over a 31-year period (3⁻18 years old at the baseline, 34⁻49 years at last follow-up). Multinomial logistic regression analysis was used to study the relationship between the trajectories of smoking and PA. Results: Five smoking trajectories and four to five PA trajectories were identified for males and females. Of the PA trajectory groups, the persistently active group were least likely to follow the trajectories of regular smoking and the inactive and low active groups were least likely to follow non-smoking trajectory group. Likewise, inactive (women only) and low active groups were less likely to belong to the non-smokers group. Conclusions: The study suggests that those who are persistently active or increasingly active have substantially reduced probabilities of being in the highest-risk smoking categories.
| S-EPMC6466084 | biostudies-other
Project description:Disaster recovery work increases risk for mental health problems, yet the mechanisms underlying this association are unclear. We explored links from recovery work to post-traumatic stress (PTS), major depression (MD), and generalized anxiety disorder (GAD) symptoms through physical health symptoms and household income in the aftermath of the Deepwater Horizon oil spill. As part of the NIEHS GuLF STUDY, participants (N = 10,141) reported on cleanup work activities, spill-related physical health symptoms, and household income at baseline, and mental health symptoms an average of 14.69 weeks (SD = 16.79) thereafter. Cleanup work participation was associated with higher physical health symptoms, which in turn were associated with higher PTS, MD, and GAD symptoms. Similar pattern of results were found in models including workers only and investigating the influence of longer work duration and higher work-related oil exposure on mental health symptoms. In addition, longer worker duration and higher work-related oil exposure were associated with higher household income, which in turn was associated with lower MD and GAD symptoms. These findings suggest that physical health symptoms contribute to workers' risk for mental health symptoms, while higher household income, potentially from more extensive work, might mitigate risk.
| S-EPMC5547997 | biostudies-other
Project description:OBJECTIVE:To examine the association of state income inequality and individual household income with the mental and physical health of women with young children. DESIGN:Cross sectional study. Individual level data (outcomes, income, and other sociodemographic covariates) from a 1991 follow up survey of a birth cohort established in 1988. State level income inequality calculated from the income distribution of each state from 1990 US census. SETTING:United States, 1991. PARTICIPANTS:Nationally representative stratified random sample of 8060 women who gave birth in 1988 and were successfully contacted (89%) in 1991. MAIN OUTCOME MEASURES:Depressive symptoms (Center for Epidemiologic Studies depression score >15) and self rated health RESULTS:19% of women reported depressive symptoms, and 7.5% reported fair or poor health. Compared with women in the highest fifth of distribution of household income, women in the lowest fifth were more likely to report depressive symptoms (33% v 9%, P<0.001) and fair or poor health (15% v 2%, P<0. 001). Compared with low income women in states with low income inequality, low income women in states with high income inequality had a higher risk of depressive symptoms (odds ratio 1.6, 95% confidence interval 1.0 to 2.6) and fair or poor health (1.8, 0.9 to 3.5). CONCLUSIONS:High income inequality confers an increased risk of poor mental and physical health, particularly among the poorest women. Both income inequality and household income are important for health in this population.
| S-EPMC27533 | biostudies-literature
Project description:During their life course, older persons' income level may become discrepant with the socio-economic status of their neighbourhood. This study examines whether and how such discrepancies affect older persons' physical and mental health. Using baseline data from the Longitudinal Aging Study Amsterdam, 2,540 non-institutionalised persons aged 55-85 years were classified based on self-reported income and neighbourhood status. Two categories defined discrepancies: discrepant-low (DL, low income in high-status neighbourhood), and discrepant-high (DH, high income in low-status neighbourhood). Both categories were compared with the same reference category: matched-high (MH, high personal and high neighbourhood income status). A range of health indicators were examined, as well as mediating effects of neighbourhood and individual characteristics. Among the 504 persons who reported a high income, 16% lived in a low-status neighbourhood (DH). Conversely, among the 757 persons living in a high-status neighbourhood, 24% had a low income (DL). The DL category mainly lived in rural areas, and the DH category predominantly in large cities. The data show discrepant income effects (DL vs. MH) on physical and cognitive ability, self-rated health, and loneliness, and discrepant neighbourhood effects (DH vs. MH) on physical and cognitive ability, depressive symptoms, and loneliness. Personal income effects were partly mediated by other personal characteristics, and neighbourhood effects were fully mediated by socio-economic neighbourhood characteristics as well as by older persons' perceptions of their neighbourhood and their income. It is concluded that discrepancies between personal income and neighbourhood status, accrued throughout the life course, are associated with poor health.
| S-EPMC5547679 | biostudies-other
Project description:BackgroundModerate-to-vigorous intensity physical activity (MVPA) is associated with favorable self-rated mental and physical health. Conversely, poor self-rated health in these domains could precede unfavorable shifts in activity. We evaluated bidirectional associations of accelerometer-estimated time spent in stationary behavior (SB), light intensity physical activity (LPA), and MVPA with self-rated health over 10 years in in the CARDIA longitudinal cohort study.MethodsParticipants (n = 894, age: 45.1 ± 3.5; 63% female; 38% black) with valid accelerometry wear and self-rated health at baseline (2005-6) and 10-year follow-up (2015-6) were included. Accelerometry data were harmonized between exams and measured mean total activity and duration (min/day) in SB, LPA, and MVPA; duration (min/day) in long-bout and short-bout SB (≥30 min vs. < 30 min) and MVPA (≥10 min vs. < 10 min) were also quantified. The Short-Form 12 Questionnaire measured both a mental component score (MCS) and physical component score (PCS) of self-rated health (points). Multivariable linear regression associated baseline accelerometry variables with 10-year changes in MCS and PCS. Similar models associated baseline MCS and PCS with 10-year changes in accelerometry measures.ResultsOver 10-years, average (SD) MCS increased 1.05 (9.07) points, PCS decreased by 1.54 (7.30) points, and activity shifted toward greater SB and less mean total activity, LPA, and MVPA (all p < 0.001). Only baseline short-bout MVPA was associated with greater 10-year increases in MCS (+ 0.92 points, p = 0.021), while baseline mean total activity, MVPA, and long-bout MVPA were associated with greater 10-year changes in PCS (+ 0.53 to + 1.47 points, all p < 0.005). In the reverse direction, higher baseline MCS and PCS were associated with favorable 10-year changes in mean total activity (+ 9.75 cpm, p = 0.040, and + 15.66 cpm, p < 0.001, respectively) and other accelerometry measures; for example, higher baseline MCS was associated with - 13.57 min/day of long-bout SB (p < 0.001) and higher baseline PCS was associated with + 2.83 min/day of MVPA (p < 0.001) in fully adjusted models.ConclusionsThe presence of bidirectional associations between SB and activity with self-rated health suggests that individuals with low overall activity levels and poor self-rated health are at high risk for further declines and supports intervention programming that aims to dually increase activity levels and improve self-rated health.
| S-EPMC8180096 | biostudies-literature
Project description:PURPOSE:Correlates of physical activity (PA) vary according to type. However, predictors of long-term patterns of PA types into old age are unknown. This study aimed to identify 20-yr trajectories of PA types into old age and their predictors. METHODS:Seven thousand seven hundred thirty-five men (age, 40-59 yr) recruited from UK towns in 1978 to 1980 were followed up after 12, 16, and 20 yr. Men reported participation in sport/exercise, recreational activity and walking, health status, lifestyle behaviors and socio-demographic characteristics. Group-based trajectory modeling identified the trajectories of PA types and associations with time-stable and time-varying covariates. RESULTS:Men with ?3 measures of sport/exercise (n = 5116), recreational activity (n = 5085) and walking (n = 5106) respectively were included in analyses. Three trajectory groups were identified for sport/exercise, four for recreational activity and three for walking. Poor health, obesity and smoking were associated with reduced odds of following a more favorable trajectory for all PA types. A range of socioeconomic, regional and lifestyle factors were also associated with PA trajectories but the magnitude and direction were specific to PA type. For example, men with manual occupations were less likely to follow a favorable sport/exercise trajectory but more likely to follow an increasing walking trajectory compared to men with nonmanual occupations. Retirement was associated with increased PA but this was largely due to increased sport/exercise participation. CONCLUSIONS:Physical activity trajectories from middle to old age vary by activity type. The predictors of these trajectories and effects of major life events, such as retirement, are also specific to the type of PA.
| S-EPMC6354913 | biostudies-literature
Project description:Background: Health-related quality of life (HRQoL) is multidimensional and is composed of, at a minimum, self-perceived health status, physical functioning, and psychological well-being. HRQoL measures reflect the extent of disability and dysfunction associated with a chronic disease such as cancer. The objective of this study is to examine factors associated with HRQoL among cancer survivors. Methods: Data from the 2009 Behavioral Risk Factor Surveillance System survey was used to examine factors associated with HRQoL among participants who reported having ever been diagnosed with cancer. Four questions associated with HRQoL included self-perceived health status, number of bad physical health days, and number of bad mental health days per month. Least square regression and logistic regression models, adjusted for confounding variables, were used for an ordinal and dichotomous [5 (bad) vs. 1-4 (excellent, very good, good, fair)] scale of HRQoL, respectively. Results: Fifty nine thousand one hundred seventy three participants reported having ever been diagnosed with cancer. Adjusted mean self-perceived health status (5-point scale) among survivors of thyroid, colon, lung, cervical, breast, prostate, and ovarian cancer was 3.83 (0.05), 4.02 (0.04), 4.36 (0.06), 3.77 (0.03), 3.88 (0.03), 3.78 (0.04), and 3.96 (0.05), respectively. After adjusting for confounders, a positive dose-response effect was observed between income range and all three HRQoL measures across all seven cancer sites. Income was consistently and inversely associated with a higher chance for reporting poorer HRQoL [OR: 0.64, 95% CI: 0.57-0.71], [OR: 0.63, 95% CI: 0.48-0.82], [OR: 0.67, 95% CI: 0.56-0.80], [OR: 0.69, 95% CI: 0.56-0.86], [OR: 0.55, 95% CI: 0.49-0.62], [OR:0.55, 95% CI: 0.44-0.69], [OR: 0.75, 95% CI: 0.62-0.91] among those with thyroid, colon, lung, cervical, breast, prostate, and ovarian cancer, respectively. Discussion: This study found that income range was associated with HRQoL among cancer survivors. It is plausible that financial resources may lessen the overall burden of cancer survivors, which could improve health-related quality of life among cancer survivors.
| S-EPMC8688689 | biostudies-literature
Project description:OBJECTIVE:We examined race/gender effects on initial levels and trajectories of self-reported physical and mental health, as well as the moderating role of personality. We hypothesized that health disparities would remain stable or decrease over time, and that at-risk personality traits (e.g., neuroticism) would have a more robust negative impact on health for Black participants. METHOD:Analyses utilized 6 waves of data from a community sample of 1,577 Black and White adults (mean age 60 years), assessed every 6 months for 2.5 years. Using multigroup latent growth curve modeling, we examined initial levels and changes in health among White men, White women, Black men, and Black women. RESULTS:Black participants reported lower initial physical health than Whites. Women's physical health was stable over time, whereas men's declined. There were no disparities in mental health. Higher agreeableness was associated with higher initial levels of physical health only among Black men and White women. All other personality traits were associated with physical and mental health similarly across race and gender. CONCLUSIONS:Race and gender influence health trajectories. Most personality- health associations replicated across race and gender, except for agreeableness with physical health. An intersectional framework considering more than one aspect of social identity is crucial for understanding health disparities. Future studies may benefit from including large, diverse samples of participants and further examining the moderating effects of race and gender on personality associations with a variety of health outcomes. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
| S-EPMC6557706 | biostudies-literature
Project description:Environment (i.e., rural vs. urban) and socioeconomic status (SES) are moderating factors of physical (i.e., obesity and/or physical activity) and internalizing mental health (i.e., stress, anxiety, and depressive symptoms) in adolescents. Relationships between physical and mental health have been shown in adolescents; however, research has not addressed these relationships in those from low-income, rural backgrounds. Thus, the present study characterized physical and mental health in rural, low-SES adolescents and investigated relationships between physical and mental health in this population. Data were collected from 253 10th and 11th-grade students from Title I schools in rural Alabama. Self-report measures of mental health, self-esteem, body image, and physical activity were obtained, in addition to functional fitness and physical health assessments completed at each school. Relationships between mental and physical health were assessed using Pearson correlations and multivariate data-driven cluster analysis. Positive correlations were observed between body composition and mental health symptoms, while negative correlations were observed between body image and mental health and body composition. However, sex differences were present in these relationships. The multivariate cluster analysis identified groups of individuals based on profiles of mental and physical health. This individual-level analysis identified students with greater mental and/or physical health burdens (n = 53 and n = 40) who may benefit from targeted interventions. Overall, these results provide evidence of elevated mental and physical health burdens among rural, low-income adolescents. Moreover, targeted programs are needed to provide education about the relationship between physical and mental health to reduce health burdens in both domains in this population.
| S-EPMC7913137 | biostudies-literature