Search Results
Source: SSM - Population Health
Resulting in 10 citations.
| 1. |
Addo, Fenaba |
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Seeking Relief: Bankruptcy and Health Outcomes of Adult Women SSM - Population Health 3 (December 2017): 326-334. Also: http://www.sciencedirect.com/science/article/pii/S2352827316300842 Cohort(s): NLSY79 Publisher: Elsevier Keyword(s): Bankruptcy; Depression (see also CESD); Health, Mental/Psychological; Health/Health Status/SF-12 Scale; Women This study examined the impact of declaring consumer bankruptcy on the physical and mental health of adult women and whether the effects differ depending on whether the filer received automatic debt discharge under Chapter 7 compared to a debt repayment plan with Chapter 13. Sample data consisted of women from the NLSY79 cohort who completed the age 40 and 50 health modules as of the most recent wave. Results indicated a negative effect of bankruptcy on self-assessed health, whereas prior health history explained its negative relationship with depressive symptoms. Debt liquidation under Chapter 7 was associated with poor physical health relative to those who did not file and with depressive symptoms relative to Chapter 13 repayment plan filers. Poor health is an unintended consequence for women who seek financial relief through bankruptcy. |
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Bibliography Citation
Addo, Fenaba. "Seeking Relief: Bankruptcy and Health Outcomes of Adult Women." SSM - Population Health 3 (December 2017): 326-334.
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| 2. |
Beheshti, Rahmatollah Jalalpour, Mehdi Glass, Thomas A. |
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Comparing Methods of Targeting Obesity Interventions in Populations: An Agent-based Simulation SSM - Population Health 3 (December 2017): 211-218. Also: http://www.sciencedirect.com/science/article/pii/S2352827317300186 Cohort(s): NLSY79 Publisher: Elsevier Keyword(s): Behavior; Comparison Group (Reference group); Obesity Social networks as well as neighborhood environments have been shown to effect obesity-related behaviors including energy intake and physical activity. Accordingly, harnessing social networks to improve targeting of obesity interventions may be promising to the extent this leads to social multiplier effects and wider diffusion of intervention impact on populations. However, the literature evaluating network-based interventions has been inconsistent. Computational methods like agent-based models (ABM) provide researchers with tools to experiment in a simulated environment. We develop an ABM to compare conventional targeting methods (random selection, based on individual obesity risk, and vulnerable areas) with network-based targeting methods. We adapt a previously published and validated model of network diffusion of obesity-related behavior. We then build social networks among agents using a more realistic approach. We calibrate our model first against national-level data. Our results show that network-based targeting may lead to greater population impact. We also present a new targeting method that outperforms other methods in terms of intervention effectiveness at the population level. |
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Bibliography Citation
Beheshti, Rahmatollah, Mehdi Jalalpour and Thomas A. Glass. "Comparing Methods of Targeting Obesity Interventions in Populations: An Agent-based Simulation." SSM - Population Health 3 (December 2017): 211-218.
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| 3. |
Brown, Daniel M. Abrams, Barbara Cohen, Alison K. Rehkopf, David |
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Motherhood, Fatherhood and Midlife Weight Gain in a US Cohort: Associations Differ by Race/ethnicity and Socioeconomic Position SSM - Population Health 3 (December 2017): 558-565. Also: http://www.sciencedirect.com/science/article/pii/S2352827317300423 Cohort(s): NLSY79 Publisher: Elsevier Keyword(s): Body Mass Index (BMI); Childbearing; Ethnic Differences; Fatherhood; Motherhood; Racial Differences; Socioeconomic Status (SES); Weight While there is an association of greater short-term weight gain with childbearing among women, less is known about longer-term weight gain, whether men have similar gains, and how this varies by race/ethnicity and socioeconomic position. Our cohort consisted of a nationally representative sample of 7,356 Americans with oversampling of Black and Hispanic populations. We estimated the associations between number of biological children and parental weight, measured as both change in self-reported body mass index (BMI) from age 18 and overweight/obese status (BMI ≥ 25) at age 40. We performed multivariate linear and logistic regression analysis and tested for effect modification by gender. For change in BMI, men gained on average 0.28 BMI (95% CI: (0.01, 0.55)) units per child, while women gained 0.13 units per child (95% CI: (-0.22, 0.48)). The adjusted odds ratios for overweight/obesity associated with each child were 1.32 (95% CI: (1.11, 1.58)) for men and 1.15 (95% CI: (1.01, 1.31)) for women. Stratified analyses by race/ethnicity and socioeconomic position suggested that the observed full-cohort differences were driven primarily by gendered differences in low-income Hispanics and Whites – with the greatest associations among Hispanic men. For example, among low-income Hispanic men we observed a positive relationship between the number of children and weight change by age 40, with average weight change of 0.47 units per child (95%CI: (-0.65, 1.59 For low-income Hispanic women, however, the average weight change was -0.59 units per child (95%CI: (-1.70, 0.47), and the P-value for the test of interaction between gender and number of children was P < 0.001. Our findings suggest that the shared social and economic aspects of raising children play an important role in determining parental weight at mid-life. |
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Bibliography Citation
Brown, Daniel M., Barbara Abrams, Alison K. Cohen and David Rehkopf. "Motherhood, Fatherhood and Midlife Weight Gain in a US Cohort: Associations Differ by Race/ethnicity and Socioeconomic Position." SSM - Population Health 3 (December 2017): 558-565.
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| 4. |
Comeau, Jinette Boyle, Michael H. |
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Patterns of Poverty Exposure and Children's Trajectories of Externalizing and Internalizing Behaviors SSM - Population Health 4 (April 2018): 86-94. Also: http://www.sciencedirect.com/science/article/pii/S2352827317301489 Cohort(s): Children of the NLSY79, NLSY79 Publisher: Elsevier Keyword(s): Behavior Problems Index (BPI); Childhood Adversity/Trauma; Family Income; Health, Mental/Psychological; Modeling, Growth Curve/Latent Trajectory Analysis; Mothers, Education; Parents, Single; Poverty Using data from the Child Supplement of the National Longitudinal Survey of Youth, we compare trajectories of externalizing and internalizing behaviors among children exposed to five patterns of poverty from birth to age 14: always or never poor -- stable patterns; a single transition into or out of poverty, or repeated fluctuations in and out of poverty -- changing patterns. We also examine how low maternal education and single parenthood interact with these poverty exposures to compound their adverse effects. Finally, we compare the magnitude of effects associated with the patterns of poverty exposure, as well as their interactions with low maternal education and single parenthood, on trajectories of externalizing and internalizing behaviors to determine if they are significantly different. Results reveal that initial levels and rates of change in children's trajectories of externalizing and internalizing behaviors are similar across the three changing patterns of poverty exposure, leading us to combine them into a single group representing intermittent poverty. Initial disparities between children who are never poor and their counterparts who are always or intermittently poor are constant over time for internalizing behaviors and grow in magnitude for externalizing behaviors. The cumulative negative effect of poverty exposure over time is stronger for externalizing vs. internalizing behaviors. Low maternal education compounds the adverse effects of persistent poverty, an effect that is similar for externalizing and internalizing behaviors. |
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Bibliography Citation
Comeau, Jinette and Michael H. Boyle. "Patterns of Poverty Exposure and Children's Trajectories of Externalizing and Internalizing Behaviors." SSM - Population Health 4 (April 2018): 86-94.
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| 5. |
Franzoi, Daniele Bockting, Claudi L. Bennett, Kirsty F. Odom, Annick Lucassen, Paul J. Pathania, Alisha Lee, Alexandra Brouwer, Marlies E. van de Schoot, Rens Wiers, Reinout W. Breedvelt, Josefien J.F. |
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Which Individual, Social, and Urban Factors in Early Childhood Predict Psychopathology in Later Childhood, Adolescence and Young Adulthood? A Systematic Review SSM - Population Health 25 (2024): 101575. Also: https://doi.org/10.1016/j.ssmph.2023.101575 Cohort(s): Children of the NLSY79, NLSY79 Publisher: Elsevier Keyword(s): Adolescent Behavior; Anxiety; Child Development; Child Health; Childhood Adversity/Trauma; Childhood, Early; Children; Children, Behavioral Development; Children, Home Environment; Children, Mental Health; Children, Preschool; Depression (see also CESD); Disadvantage, Neighborhood; Disadvantage, Social; Health, Mental/Psychological; Parental Violence (Physical and Verbal); Parents, Behavior; Psychological Effects; Psychopathology; Psychopathology, Parental; Risk Factors, Social; Risk Factors, Urban; Substance Use; Urban Environment/Neighborhood; Young Adults Background: A comprehensive picture is lacking of the impact of early childhood (age 0–5) risk factors on the subsequent development of mental health symptoms. Objective: In this systematic review, we investigated which individual, social and urban factors, experienced in early childhood, contribute to the development of later anxiety and depression, behavioural problems, and internalising and externalising symptoms in youth. Methods: Embase, MEDLINE, Scopus, and PsycInfo were searched on the 5th of January 2022. Three additional databases were retrieved from a mega-systematic review source that focused on the identification of both risk and protective indicators for the onset and maintenance of prospective depressive, anxiety and substance use disorders. A total of 46,450 records were identified and screened in ASReview, an AI-aided systematic review tool. We included studies with experimental, quasi-experimental, prospective and longitudinal study designs, while studies that focused on biological and genetical factors, were excluded. Results: Twenty studies were included. The majority of studies explored individual-level risk factors (N = 16). Eleven studies also explored social risk factors and three studied urban risk factors. We found evidence for early predictors relating to later psychopathology measures (i.e., anxiety and depression, behavioural problems, and internalising and externalising symptoms) in childhood, adolescence and early adulthood. These were: parental psychopathology, exposure to parental physical and verbal violence and social and neighbourhood disadvantage. Conclusions: Very young children are exposed to a complex mix of risk factors, which operate at different levels and influence children at different time points. The urban environment appears to have an effect on psychopathology but it is understudied compared to individual-level factors. Moreover, we need more research exploring the interaction between individual, social and urban factors. |
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Bibliography Citation
Franzoi, Daniele, Claudi L. Bockting, Kirsty F. Bennett, Annick Odom, Paul J. Lucassen, Alisha Pathania, Alexandra Lee, Marlies E. Brouwer, Rens van de Schoot, Reinout W. Wiers and Josefien J.F. Breedvelt. "Which Individual, Social, and Urban Factors in Early Childhood Predict Psychopathology in Later Childhood, Adolescence and Young Adulthood? A Systematic Review." SSM - Population Health 25 (2024): 101575.
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| 6. |
Hawkinson, Colin B. Andrea, Sarah B. Hajat, Anjum Minh, Anita Owens, Shanise Blaikie, Kieran Seiler, Jessie Molino, Andrea R. Oddo, Vanessa M. |
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A Cross-sectional Analysis of Work Schedule Notice and Depressive Symptoms in the United States SSM - Population Health published online (24 April 2023): 101413. Also: https://www.sciencedirect.com/science/article/pii/S2352827323000782 Cohort(s): NLSY97 Publisher: Elsevier Keyword(s): Depression (see also CESD); Gender Differences; Modeling, Poisson (IRT–ZIP); Racial Differences; Work Hours/Schedule The implementation of last-minute work scheduling practices, including fluctuations in work hours, shift cancellations, and short notice, reflects a new norm in employment in the United States. This study aimed to investigate whether work schedule notice of ≤2 weeks was associated with high depressive symptoms. We used data from the 2019 cycle of the National Longitudinal Survey of Youth 1997 (N = 4963 adults aged 37-42 years). Using adjusted gender-stratified modified Poisson models, we tested the association between schedule notice (≤2 weeks, >2 weeks, consistent scheduling) and high depressive symptoms. Presence of high depressive symptoms was assessed using the 7-item Center for Epidemiologic Studies Depression (CES-D) scale and defined as CES-D ≥8. Respondents reporting >2 weeks schedule notice (versus ≤2 weeks) were disproportionately non-Hispanic Black or Latinx and resided in the South and/or in a rural area. High depressive symptoms were 39% more prevalent among women with schedule notice of ≤2 weeks compared to those with >2 weeks notice (Prevalence Ratio [PR]: 1.39, 95% Confidence Interval (CI): 1.07, 1.80). We did not observe an association among men (PR: 1.06, 95% CI: 0.75, 1.50). Schedule notice of ≤2 weeks was associated with a greater burden of high depressive symptoms among US women. Policies to reduce precarious work scheduling practices should be further evaluated for their impacts on mental health. |
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Bibliography Citation
Hawkinson, Colin B., Sarah B. Andrea, Anjum Hajat, Anita Minh, Shanise Owens, Kieran Blaikie, Jessie Seiler, Andrea R. Molino and Vanessa M. Oddo. "A Cross-sectional Analysis of Work Schedule Notice and Depressive Symptoms in the United States." SSM - Population Health published online (24 April 2023): 101413.
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| 7. |
Ng, Carmen D. Elliott, Michael R. Riosmena, Fernando Cunningham, Solveig A. |
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Beyond Recent BMI: BMI Exposure Metrics and their Relationship to Health SSM - Population Health 11 (August 2020): 100547. Also: https://www.sciencedirect.com/science/article/pii/S2352827319303064 Cohort(s): NLSY97 Publisher: Elsevier Keyword(s): Body Mass Index (BMI); Health, Chronic Conditions; Health/Health Status/SF-12 Scale Body mass index (BMI) is generally used to classify adiposity. Despite the fact that the consequences of adiposity for chronic health accumulate and manifest over time, most population health research exploring the implications of high BMI measures only its recent intensity. Some studies have used retrospective measures involving maximum weight, and even fewer have used BMI at multiple time points to estimate cumulative exposure to adiposity. The goal of this study was to compare BMI exposure metrics that captured different dimensions of body mass -- intensity, history, and duration -- in models of health indicators linked with adiposity. We used self-reported BMI of young adults (ages 18 - 33 years, n = 8,608) across 11 waves of data from the National Longitudinal Survey of Youth 1997 to evaluate eight BMI exposure metrics: most recent, maximum, mean, and median BMI, proportion of time with overweight/obesity, and excess BMI-years with overweight/obesity. We used these metrics in models of self-reported general health, chronic condition, and diabetes, and ascertained how most recent BMI performed when compared with other metrics that better capture the dynamics of BMI. The Akaike information criteria and Vuong tests were used for model comparison, and the strengths of associations were also compared. Most recent BMI was the best metric for explaining general health. Median BMI was best for explaining diabetes, with most recent BMI under-estimating the association by 13% relative to median BMI. For chronic condition, there was no clear best metric. We concluded that most recent BMI is useful for explaining health outcomes, though other metrics should also be given consideration, particularly for conditions that develop over time. Metrics that accounted for both intensity and history performed quite well, but the duration measures might be less useful. |
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Bibliography Citation
Ng, Carmen D., Michael R. Elliott, Fernando Riosmena and Solveig A. Cunningham. "Beyond Recent BMI: BMI Exposure Metrics and their Relationship to Health." SSM - Population Health 11 (August 2020): 100547.
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| 8. |
Sun, Sicong Lee, Hedwig Hudson, Darrell L. |
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Racial/Ethnic Differences in the Relationship between Wealth and Health across Young Adulthood SSM - Population Health 21 (March 2023): 101313. Also: https://www.sciencedirect.com/science/article/pii/S2352827322002920 Cohort(s): NLSY97 Publisher: Elsevier Keyword(s): Ethnic Differences; Health/Health Status/SF-12 Scale; Net Worth; Racial Differences; Socioeconomic Background; Wealth Background: Although the relationship between socioeconomic position (SEP) and health has been well documented, very few prior investigations have examined the time-varying association between wealth and health across race/ethnicity. This study examined the racial/ethnic differences in the wealth-health associations during young adulthood. Method: Data were drawn from the National Longitudinal Survey of Youth 1997 with three time points, when respondents were aged 20, 25, and 30. The primary dependent variable was dichotomized self-rated health (SRH). Two indices of wealth were calculated: respondents' own reported net worth and reported parental net worth in 1997. Other SEP indicators included household income, education, employment status, and parental education. Three racial/ethnic groups were examined: non-Hispanic White, non-Hispanic Black, and Hispanic. Two-level logistic regression was performed, stratified by race/ethnicity. Results: In the whole-sample analysis, racial/ethnic differences in SRH were not statistically significant, after controlling for wealth. For self-reported net worth during young adulthood, wealth has a incremental consistent effect on health among non-Hispanic White respondents and Hispanic respondents but not among Black respondents. Individual net worth and parental net worth were only significantly associated with health |
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Bibliography Citation
Sun, Sicong, Hedwig Lee and Darrell L. Hudson. "Racial/Ethnic Differences in the Relationship between Wealth and Health across Young Adulthood." SSM - Population Health 21 (March 2023): 101313.
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| 9. |
Wang, Jia Conwell, Jordan A. |
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Higher Education and Health at Midlife: Evaluating the Role of College Quality SSM - Population Health published online (11 September 2022): 101228. Also: https://www.sciencedirect.com/science/article/pii/S2352827322002075 Cohort(s): NLSY79 Publisher: Elsevier Keyword(s): College Characteristics; Health, Mental/Psychological; Health/Health Status/SF-12 Scale Using the longitudinal data from the National Longitudinal Survey of Youth-1979 linked with external data on college characteristics (N = 7056), this study illustrates an independent stratifying role of college quality in shaping health. College quality has significant and positive influences on physical health, and this positive association tends to strengthen across 40 and 50. By contrast, attending higher-quality colleges is not associated with mental health at either age 40 or age 50. Decompositions were conducted to assess the extent to which early life and demographic characteristics, employment and economic conditions, health behaviors, and family relationships account for observed patterns. Our study highlights the necessity for future research on education and health to incorporate characteristics of schools attended; reveals variation in the college quality-health nexus by specific health outcomes; and provides new insights into understanding health inequalities across the life course. |
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Bibliography Citation
Wang, Jia and Jordan A. Conwell. "Higher Education and Health at Midlife: Evaluating the Role of College Quality." SSM - Population Health published online (11 September 2022): 101228.
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| 10. |
Whiting, Riley Bartle-Haring, Suzanne |
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Variations in the Association between Education and Self-reported Health by Race/Ethnicity and Structural Racism SSM - Population Health 19 (September 2022): 101136. Also: https://www.sciencedirect.com/science/article/pii/S235282732200115X Cohort(s): NLSY97 Publisher: Elsevier Keyword(s): Discrimination, Racial/Ethnic; Educational Attainment; Geocoded Data; Health Factors; Health/Health Status/SF-12 Scale; State-Level Data/Policy Research has documented a longstanding association between education achievement and physical health outcomes. However, research has suggested that the health benefits gained from education differ by race, with minoritized racial groups generally experiencing poorer health and fewer health benefits from education. One potential explanation for this phenomena of "diminished returns" is the influence of structural racism. The purpose of this paper is to assess how structural factors at the state level are associated with self-reported health and the association between education and health. Utilizing a sample (N = 6819) from the NLSY dataset, measures of structural racism (political participation, employment and job status, education attainment and judicial treatment) were used to assess the hypotheses. Results indicated significant differences in key areas, with some nuanced findings -- indicating that structural racism is an important health factor. These indicators of structural racism are discussed in the context of complexity of linked lives. Further research regarding structural racism, education, health and developmental stages is warranted. |
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Bibliography Citation
Whiting, Riley and Suzanne Bartle-Haring. "Variations in the Association between Education and Self-reported Health by Race/Ethnicity and Structural Racism." SSM - Population Health 19 (September 2022): 101136.
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