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Thematische Bibliographien / Trajectories of health / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Trajectories of health“

Autor: Grafiati

Veröffentlicht am 7. September 2021

Zuletzt aktualisiert am 29. Juli 2025

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1

Barrett, Anne E. "Marital Trajectories and Mental Health." Journal of Health and Social Behavior 41, no. 4 (2000): 451. http://dx.doi.org/10.2307/2676297.

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Vetrano, Davide L., Giulia Grande, Alessandra Marengoni, Amaia Calderón-Larrañaga, and Debora Rizzuto. "Health Trajectories in Swedish Centenarians." Journals of Gerontology: Series A 76, no. 1 (2020): 157–63. http://dx.doi.org/10.1093/gerona/glaa152.

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Abstract Background Longitudinal studies describing centenarians’ health trajectories are currently lacking. We compared health trajectories of older adults becoming centenarians and their shorter-living counterparts in terms of chronic diseases, disability, and cognitive decline. Methods We identified 3,573 individuals participating in the Kungsholmen Project and the Swedish National Study on Aging and Care in Kungsholmen who lived &lt;100 years and 222 who survived to their 100th birthday. Trajectories of chronic diseases, disability (impaired activities of daily living), and cognitive s

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Wilmoth, Janet M. "Health Trajectories Among Older Movers." Journal of Aging and Health 22, no. 7 (2010): 862–81. http://dx.doi.org/10.1177/0898264310375985.

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Liu, Yin, Kyungmin Kim, and Steven H. Zarit. "Health Trajectories of Family Caregivers." Journal of Aging and Health 27, no. 4 (2014): 686–710. http://dx.doi.org/10.1177/0898264314555319.

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Brown, Tyson H., Angela M. O’Rand, and Daniel E. Adkins. "Race-Ethnicity and Health Trajectories." Journal of Health and Social Behavior 53, no. 3 (2012): 359–77. http://dx.doi.org/10.1177/0022146512455333.

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Hojman, Daniel A., Álvaro Miranda, and Jaime Ruiz-Tagle. "Debt trajectories and mental health." Social Science & Medicine 167 (October 2016): 54–62. http://dx.doi.org/10.1016/j.socscimed.2016.08.027.

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Wickrama, Thulitha, Michael J. Merten, and Amanda Terrell. "Adolescent Cumulative Adversity, Mental Health, and Young Adult Sexual Health." American Journal of Health Behavior 49, no. 1 (2025): 80–92. https://doi.org/10.5993/ajhb.49.1.7.

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Objectives: Drawing from stress process and developmental perspectives, in this study, we conceptualize how adolescent cumulative adversity, defined by both early socioeconomic adversity and adolescent stressful life events, influences adolescent mental health, and later, young adult sexual health. Methods: We used longitudinal data from 12,424 participants across 4 waves of the National Longitudinal Study of Adolescent to Adult Health (Add Health) to predict stressful life event trajectories, mental health trajectories, and young adult sexually transmitted infections (STIs) in the same analyt

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Mizuochi, Masaaki, and James Raymo. "RETIREMENT TRAJECTORIES AND HEALTH IN JAPAN." Innovation in Aging 7, Supplement_1 (2023): 936–37. http://dx.doi.org/10.1093/geroni/igad104.3008.

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Abstract The relationship between retirement and health is a key issue in aging societies. However, it is unclear whether the nature of retirement from full-time regular employment makes a difference in subsequent health. This study examines the relationship between the trajectory of retirement from full-time regular employment and subsequent health. Using the Longitudinal Survey of Middle-aged and Elderly Persons 2005–2019 collected in Japan, we employ sequence analysis to identify distinct retirement trajectories from full-time regular employment between ages 59 and 66. We then estimate the

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Crollard, Allison, A. B. de Castro, and Jenny Hsin-Chun Tsai. "Occupational Trajectories and Immigrant Worker Health." Workplace Health & Safety 60, no. 11 (2012): 497–502. http://dx.doi.org/10.3928/21650799-20121016-68.

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Miller, Ray, and Mahesh Karra. "Birth Spacing and Child Health Trajectories." Population and Development Review 46, no. 2 (2020): 347–71. http://dx.doi.org/10.1111/padr.12335.

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Crollard, Allison, A. B. de Castro, and Jenny Hsin-Chun Tsai. "Occupational Trajectories and Immigrant Worker Health." Workplace Health & Safety 60, no. 11 (2012): 497–502. http://dx.doi.org/10.1177/216507991206001105.

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Vlachantoni, A., J. Robards, J. Falkingham, and M. Evandrou. "Trajectories of informal care and health." SSM - Population Health 2 (December 2016): 495–501. http://dx.doi.org/10.1016/j.ssmph.2016.05.009.

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Moreau, Caroline. "Gender performance and adolescent health trajectories." Lancet Child & Adolescent Health 3, no. 8 (2019): 512–13. http://dx.doi.org/10.1016/s2352-4642(19)30163-4.

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McDonough, Peggy, Diana Worts, Laurie M. Corna, Anne McMunn, and Amanda Sacker. "Later-life employment trajectories and health." Advances in Life Course Research 34 (December 2017): 22–33. http://dx.doi.org/10.1016/j.alcr.2017.09.002.

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Lapshina, Natalia, Claire V. Crooks, and Amanda Kerry. "Changes in Depression and Positive Mental Health Among Youth in a Healthy Relationships Program." Canadian Journal of School Psychology 34, no. 4 (2018): 300–316. http://dx.doi.org/10.1177/0829573518777154.

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Mental health promotion programming in schools and community settings is an important part of a comprehensive mental health strategy. The goal of this study was to identify and explore meaningful classes of youth based on their pre- and post-intervention depression symptoms scores with 722 youth involved in a 15-week healthy relationships and mental health promotion program. We utilized latent class growth analysis to identify depression class trajectories, controlling for group clustering effects. A three-class solution identified high decreasing, moderate stable, and low stable trajectories.

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Vänskä, Mervi, Raija-Leena Punamäki, Asko Tolvanen, et al. "Maternal pre- and postnatal mental health trajectories and child mental health and development." International Journal of Behavioral Development 35, no. 6 (2011): 517–31. http://dx.doi.org/10.1177/0165025411417505.

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Pregnancy and early motherhood involve uncertainty and change, which can evoke mental health problems. We identified maternal mental health trajectories in pre- and postnatal period, and examined their association with later child mental health and development. Finnish mothers reported psychological distress (General Health Questionnaire [GHQ-36]) and depressive (Beck Depression Inventory [BDI-13]) symptoms in pregnancy (T1; N = 788) and two months (T2; N = 657) and 12 months (T3; N = 545) postpartum. Both parents accounted their child’s mental health (Behavior Assessment System for Children [

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Bauducco, S., L. Gardner, N. Newton, et al. "O062 Adolescents’ Mental Health Hrajectories throughout the COVID-19 Pandemic and the Protective role of Healthy Sleep Patterns." Sleep Advances 4, Supplement_1 (2023): A24. http://dx.doi.org/10.1093/sleepadvances/zpad035.062.

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Abstract Introduction The COVID-19 pandemic has seen a rise in emotional problems among adolescents. Improving young people's mental health is a public health priority, and examining protective factors throughout the pandemic can offer insights on targets for prevention. This study aimed to investigate longitudinal trajectories of depressive and anxiety symptoms among a large sample of Australian adolescents and to examine sleep patterns in high- and low-risk trajectories. Methods This study utilises data from the control group of the “Health4Life” cluster RCT. We used three waves of questionn

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Haga, Chiyori, Naoki Kondo, and Reiko Okamoto. "Factors Associated with Changes in Body Mass Trajectories during Infancy: A Longitudinal Analysis in Japan." Health 08, no. 14 (2016): 1506–17. http://dx.doi.org/10.4236/health.2016.814149.

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Cullati, Stéphane. "Socioeconomic inequalities in health trajectories in Switzerland: are trajectories diverging as people age?" Sociology of Health & Illness 37, no. 5 (2015): 745–64. http://dx.doi.org/10.1111/1467-9566.12232.

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Daw, Jonathan, Rachel Margolis, and Laura Wright. "Emerging Adulthood, Emergent Health Lifestyles: Sociodemographic Determinants of Trajectories of Smoking, Binge Drinking, Obesity, and Sedentary Behavior." Journal of Health and Social Behavior 58, no. 2 (2017): 181–97. http://dx.doi.org/10.1177/0022146517702421.

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During the transition to adulthood, many unhealthy behaviors are developed that in turn shape behaviors, health, and mortality in later life. However, research on unhealthy behaviors and risky transitions has mostly focused on one health problem at a time. In this article, we examine variation in health behavior trajectories, how trajectories cluster together, and how the likelihood of experiencing different behavior trajectories varies by sociodemographic characteristics. We use the National Longitudinal Study of Adolescent Health (Add Health) Waves I to IV to chart the most common health beh

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Sabariego, Carla, Jsabel Hodel, Vanessa Seijas, Angel Rodriguez-Laso, Jerome Bickenbach, and Cristina Ehrmann. "Are healthy ageing trajectories suitable to identify rehabilitation needs of the ageing population? An exploratory study using ATHLOS cohort data." PLOS ONE 19, no. 7 (2024): e0303865. http://dx.doi.org/10.1371/journal.pone.0303865.

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Background The ageing process is highly heterogeneous leading to diverse ageing trajectories. Such trajectories have been modelled to study trends and determinants of ageing and could potentially be used to inform the planning of rehabilitation services at population level. The objective of this paper was to explore whether healthy ageing trajectories are suitable to identify targets for rehabilitation interventions for the ageing population. Methods Data from the Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) harmonized cohort and the English Longitudinal Stu

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McLeod, Jane D., and Michael J. Shanahan. "Trajectories of Poverty and Children's Mental Health." Journal of Health and Social Behavior 37, no. 3 (1996): 207. http://dx.doi.org/10.2307/2137292.

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Cox, Christopher E., and Nicholas G. Wysham. "Untangling Health Trajectories among Patients with Sepsis." Annals of the American Thoracic Society 12, no. 6 (2015): 796–97. http://dx.doi.org/10.1513/annalsats.201503-134ed.

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Cullati, Stéphane, Claudine Burton-Jeangros, and Thomas Abel. "Vulnerability in Health Trajectories: Life Course Perspectives." Swiss Journal of Sociology 44, no. 2 (2018): 203–16. http://dx.doi.org/10.1515/sjs-2018-0009.

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Strohschein, Lisa. "Parental Divorce and Child Mental Health Trajectories." Journal of Marriage and Family 67, no. 5 (2005): 1286–300. http://dx.doi.org/10.1111/j.1741-3737.2005.00217.x.

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Kim, Jinyoung, and Emily Durden. "Socioeconomic status and age trajectories of health." Social Science & Medicine 65, no. 12 (2007): 2489–502. http://dx.doi.org/10.1016/j.socscimed.2007.07.022.

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Agusti, Alvar, and Rosa Faner. "Lung function trajectories in health and disease." Lancet Respiratory Medicine 7, no. 4 (2019): 358–64. http://dx.doi.org/10.1016/s2213-2600(18)30529-0.

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Gémes, Katalin, Jette Moeller, Karin Engström, and Anna Sidorchuk. "Alcohol consumption trajectories and self-rated health: findings from the Stockholm Public Health Cohort." BMJ Open 9, no. 8 (2019): e028878. http://dx.doi.org/10.1136/bmjopen-2018-028878.

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ObjectiveTo investigate whether poor self-rated health and psychological distress are differentially associated with drinking trajectories over time.MethodsFrom the Stockholm Public Health Cohort, two subcohorts surveyed in 2002–2010–2014 and 2006–2010–2014 (n=23 794 and n=34 667 at baseline, respectively) were used. Alcohol consumption, self-rated health, psychological distress (measured by General Health Questionnaire-12), lifestyle factors and longstanding illness were assessed by questionnaires. Demographic and socioeconomic variables were obtained by register linkage. Logistic regression

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Heilmayr, Dietlinde, and Howard S. Friedman. "Cultivating healthy trajectories: An experimental study of community gardening and health." Journal of Health Psychology 25, no. 13-14 (2018): 2418–27. http://dx.doi.org/10.1177/1359105318800784.

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Advances in behavioral medicine suggest that optimal solutions to modern health challenges should be multifaceted, targeting multiple cognitions and behaviors simultaneously. Community gardening holds great promise as one such multifaceted intervention but lacks rigorous evidence of efficacy. We present one of the first experimental studies on the topic. The results revealed promise for aspects of community gardening, but also suggest the necessity for the use of rigorous methodologies moving forward. In addition, this article provides a framework for studying the effects of community gardenin

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Ayyagari, Padmaja, Fred Ullrich, Theodore K. Malmstrom, et al. "Self-Rated Health Trajectories in the African American Health Cohort." PLoS ONE 7, no. 12 (2012): e53278. http://dx.doi.org/10.1371/journal.pone.0053278.

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Qin, Weidi. "NEIGHBORHOOD CHARACTERISTICS AND TRAJECTORIES OF DEPRESSIVE SYMPTOMS AND ANXIETY." Innovation in Aging 6, Supplement_1 (2022): 276. http://dx.doi.org/10.1093/geroni/igac059.1095.

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Abstract This study aims to identify the trajectories of mental health among older adults and to examine the association between neighborhood characteristics (i.e. social cohesion and physical disorder) and the identified trajectories. Data came from nine waves of the National Health and Aging Trend Study (N=6,951). Group-based trajectory modeling was used to identify the trajectories of depressive symptoms and anxiety respectively. Multinomial logistic regressions were used to examine the relationship between neighborhood and trajectories. Four trajectories were identified, namely “constantly

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Mueller, Collin, and Carlos Tavares. "MENTAL AND PHYSICAL HEALTH EFFECTS OF EVERYDAY DISCRIMINATION TRAJECTORIES." Innovation in Aging 3, Supplement_1 (2019): S767. http://dx.doi.org/10.1093/geroni/igz038.2820.

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Abstract How do perceived discrimination trajectories impact health of Black, Latinx, and White adults ages 50 and older? Few researchers have sought to discern between the health effects of perceived discrimination measured cross-sectionally versus longitudinally. We aim to address this gap by leveraging newly available 3-wave panel data. We analyze 3 waves of data from the Health and Retirement Study (HRS) (n=2830 individuals ranging in age from 50 to 84, observed from 2008-2016). We first estimate group-based trajectories of everyday discrimination using finite mixture models. Second, we us

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Engelman, Michal, Won-tak Joo, Jason Fletcher, and Barry Burden. "Health, Wealth, and Voting Trajectories in Later Life." Journals of Gerontology: Series B 77, no. 4 (2021): 827–37. http://dx.doi.org/10.1093/geronb/gbab191.

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Abstract Objectives Much of what we know about voting behaviors is based on cross-sectional comparisons of voters at different ages. This study draws on a unique linkage between the Wisconsin Longitudinal Study and state voter files to characterize voting trajectories in later life and explore their determinants. Methods Using sequence analysis, we identify 5 voting typologies based on turnout and voting methods over 8 biennial elections. Using multinomial logistic and Poisson regressions, we examine the role of physical, cognitive, and mental health and wealth in shaping enfranchisement and c

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Allen, Joanne, and Fiona M. Alpass. "Trajectories of material living standards, physical health and mental health under a universal pension." Journal of Epidemiology and Community Health 74, no. 4 (2020): 362–68. http://dx.doi.org/10.1136/jech-2019-213199.

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ObjectiveAged pension schemes aim to support material and non-material well-being of older populations. The current work aimed to describe dominant trajectories of material living standards in the decades prior to and following eligibility for an aged pension, and describe associated trajectories of physical and mental health.MethodsLongitudinal data on living standards and indices of health Short Form 12 were collected over 2–12 years follow-up from 4811 New Zealand adults aged 55–76. Growth mixture models were used to identify dominant trajectories of living standards with age. Latent growth

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Fisher, Rachel S., Katianne M. Howard Sharp, Kemar V. Prussien, et al. "Coping Trajectories and the Health-Related Quality of Life of Childhood Cancer Survivors." Journal of Pediatric Psychology 46, no. 8 (2021): 960–69. http://dx.doi.org/10.1093/jpepsy/jsab017.

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Abstract Objective To identify coping trajectories from diagnosis through survivorship and test whether particular trajectories exhibit better health-related quality of life (HRQOL) at 5 years post-diagnosis. Methods Families of children with cancer (ages 5-17; M = 10.48, SD = 4.03) were recruited following a new diagnosis of cancer (N = 248). Three follow-up assessments occurred at 1-year (N = 185), 3-years (N = 101), and 5-years (N = 110). Mothers reported on children’s coping using the Responses to Stress Questionnaire for Pediatric Cancer. Survivor HRQOL was measured at 5-year follow-up us

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Prina, Matthew. "HEALTH TRAJECTORIES OVER TIME IN THE ATHLOS PROJECT: FINDINGS FROM MULTIPLE COHORTS." Innovation in Aging 3, Supplement_1 (2019): S798. http://dx.doi.org/10.1093/geroni/igz038.2939.

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Abstract The ATHLOS (Ageing Trajectories of Health: Longitudinal Opportunities and Synergies) project is a consortium of 15 partners across Europe who are working together to understand patterns of healthy ageing trajectories, and to seek the factors that determine those patterns, in a harmonised dataset of 17 international cohort studies of ageing. During this symposium we will be presenting some of the work that has recently been carried out within this project. The symposium will consist of four talks: the first talk will introduce the project, and describe the preliminary work that took pl

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Olson, Julie Skalamera, and Robert Crosnoe. "Are You Still Bringing Me Down?" Journal of Health and Social Behavior 58, no. 1 (2017): 102–15. http://dx.doi.org/10.1177/0022146516684536.

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Romantic involvement and mental health are dynamically linked, but this interplay can vary across the life course in ways that speak to the social and psychological underpinnings of healthy development. To explore this variation, this study examined how romantic involvement was associated with trajectories of depressive symptomatology across the transition between adolescence and young adulthood. Growth mixture modeling of data from the National Longitudinal Study of Adolescent to Adult Health identified trajectories of depressive symptomatology as teens grew into their late 20s and early 30s

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Gasser, Constantine E., Fiona K. Mensah, Susan A. Clifford, Jessica A. Kerr, and Melissa Wake. "Parental health behaviour predictors of childhood and adolescent dietary trajectories." Public Health Nutrition 21, no. 10 (2018): 1874–85. http://dx.doi.org/10.1017/s1368980018000563.

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AbstractObjectiveTo determine which parental health behaviours early in childhood most strongly predict whole-of-childhood dietary trajectories.DesignPopulation-based Longitudinal Study of Australian Children (LSAC, waves 1–6; 2004–2014). Exposures were parents’ fruit/vegetable consumption, alcohol, smoking and physical activity at child age 0–1 years (B Cohort) or 4–5 years (K Cohort). Outcomes, from repeated biennial short diet diaries, were group-based trajectories of (i) dietary scores and empirically derived patterns of (ii) healthful and (iii) unhealthful foods consumed, spanning ages 2–

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Morgan, Julie Ayliffe, Jana Maria Bednarz, Ronnie Semo, Scott Richard Clark, and Klaus Oliver Schubert. "Long-term recreational exercise patterns in adolescents and young adults: Trajectory predictors and associations with health, mental-health, and educational outcomes." PLOS ONE 19, no. 3 (2024): e0284660. http://dx.doi.org/10.1371/journal.pone.0284660.

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Individual and societal factors influencing the formation of long-term recreational exercise habits during the transition from adolescence to young adulthood are not well explored. Using data from the Longitudinal Survey of Australian Youth (LSAY), a population-representative cohort study of Young People followed from age 15 to 25, we aimed to (1) model longitudinal recreational exercise trajectories from age 16 to 24, (2) examine predictors at age 15 of entering these trajectories, and (3) explore the association between the trajectories and health, mental health and educational achievement o

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King, Tania, and Jennifer Ervin. "O-375 GENDERED TRAJECTORIES OF JOB INSECURITY AND THE PROBABILITY OF POORER MENTAL HEALTH AMONG WORKING-AGE AUSTRALIANS." Occupational Medicine 74, Supplement_1 (2024): 0. http://dx.doi.org/10.1093/occmed/kqae023.1358.

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Abstract Introduction This study aimed to identify job security/insecurity trajectories in the Australian labour market, and examine associations between estimated trajectories and mental health. Methods We used 15 waves of data from the Household, Income and Labour Dynamics in Australia Survey. Group-based trajectory modelling was used to identify discrete job security trajectories for women and men from baseline (28-38 years) to Wave 18 (41-51 years). Associations between estimated trajectories and mental health (Mental Health Inventory, MHI-5) at Wave 19 were assessed using logistic regress

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Wickrama, Kandauda (K A. S), Eric T. Klopack, Catherine Walker O’Neal, et al. "Life Course Patterns of Concurrent Trajectories of BMI and Affective Symptoms of Rural Mothers: Socioeconomic Antecedents and Disease Outcomes in Later Life." Journals of Gerontology: Series B 74, no. 7 (2017): 1233–44. http://dx.doi.org/10.1093/geronb/gbx121.

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Abstract Objectives The current study, using prospective data over 25 years (1991–2015), concurrently investigates patterns of body mass index (BMI) and affective symptom trajectories in middle-aged mothers and the socioeconomic antecedents and disease outcomes of these patterns. Method Growth mixture modeling was used to identify latent classes of conjoint health risk trajectories (BMI, depressive symptoms, and anxiety symptoms) from 1991 to 2001. For each latent class, we identified mean trajectories of each health risk. Then, analyses were conducted identifying how these conjoint health ris

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Oh, Yun taek, and Jacqui Smith. "DO TRAJECTORIES OF SELF-IDENTIFIED RETIREMENT STATUS PREDICT HEALTH AND COGNITIVE OUTCOMES?" Innovation in Aging 8, Supplement_1 (2024): 774. https://doi.org/10.1093/geroni/igae098.2516.

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Abstract Few studies examined the ways older workers self-identify their retirement status (named ‘retirement identity’) over time before exiting the workforce. Examining the trajectories of retirement identity transitions – between “not retired”, “partly retired”, and “completely retired” – clarifies the heterogeneous outcomes found in ‘static’ retirement identity. In this study, we distinguish and categorize these trajectories using sequence analysis, investigate the common sociodemographic and economic characteristics for each trajectory using multinomial logistic regression, and examine th

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Srivastava, Ajitesh. "Aligning Time-series by Local Trends: Applications in Public Health." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 27 (2025): 28405–12. https://doi.org/10.1609/aaai.v39i27.35062.

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Individual models of infectious diseases or trajectories coming from different simulations may vary considerably, making it challenging for public communication and supporting policy-making. Therefore, it is common in public health to first create a consensus across multiple models and simulations through ensembling. However, current methods are limited to mean and median ensembles that perform aggregation of scale (cases, hospitalizations, deaths) along the time axis, which often misrepresents the underlying trajectories -- e.g., they underrepresent the peak. Instead, we wish to create an ens

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Nguyen, Hai, Dario Moreno-Agostino, Kia-Chong Chua, Silia Vitoratou, and A. Matthew Prina. "Trajectories of healthy ageing among older adults with multimorbidity: A growth mixture model using harmonised data from eight ATHLOS cohorts." PLOS ONE 16, no. 4 (2021): e0248844. http://dx.doi.org/10.1371/journal.pone.0248844.

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Objectives In this study we aimed to 1) describe healthy ageing trajectory patterns, 2) examine the association between multimorbidity and patterns of healthy ageing trajectories, and 3) evaluate how different groups of diseases might affect the projection of healthy ageing trajectories over time. Setting and participants Our study was based on 130880 individuals from the Ageing Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) harmonised dataset, as well as 9171 individuals from Waves 2–7 of the English Longitudinal Study of Ageing (ELSA). Methods Using a healthy agein

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Visser, Eva, Brenda Leontine Den Oudsten, Taco Gosens, Paul Lodder, and Jolanda De Vries. "Psychological risk factors that characterize the trajectories of quality of life after a physical trauma: a longitudinal study using latent class analysis." Quality of Life Research 30, no. 5 (2021): 1317–35. http://dx.doi.org/10.1007/s11136-020-02740-x.

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Abstract Background The course and corresponding characteristics of quality of life (QOL) domains in trauma population are unclear. Our aim was to identify longitudinal QOL trajectories and determine and predict the sociodemographic, clinical, and psychological characteristics of trajectory membership in physical trauma patients using a biopsychosocial approach. Methods Patients completed a questionnaire set after inclusion, and at 3, 6, 9, and 12 months follow-up. Trajectories were identified using repeated-measures latent class analysis. The trajectory characteristics were ranked using Cohen

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Dobson, Kathleen G., Mahée Gilbert-Ouimet, Cameron Mustard, and Peter M. Smith. "Body mass index trajectories among the Canadian workforce and their association with work environment trajectories over 17 years." Occupational and Environmental Medicine 77, no. 6 (2020): 374–80. http://dx.doi.org/10.1136/oemed-2019-106023.

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ObjectiveTo determine the number of latent body mass index (BMI) trajectories from 1994 to 2010 among working Canadians and their association with concurrent trajectories in work environment exposures.MethodsData of employed individuals from the longitudinal Canadian National Population Health Survey were used. Group-based trajectory modelling was used to determine the number of latent BMI trajectories and concurrent psychosocial work environment trajectories. A multinomial logistic regression of BMI trajectory membership on trajectories in work environment dimensions (skill discretion, decisi

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Keles, Serap, Oddgeir Friborg, Thormod Idsøe, Selcuk Sirin, and Brit Oppedal. "Resilience and acculturation among unaccompanied refugee minors." International Journal of Behavioral Development 42, no. 1 (2016): 52–63. http://dx.doi.org/10.1177/0165025416658136.

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The present study was designed to understand differences between unaccompanied refugees who retained or achieved good mental health ( healthy or resilient) and those who maintained or developed poor mental health ( clinical and vulnerable). Using person-based analyses, the role of pre-migration traumatic exposure and acculturation-related factors in long-term trajectories of psychological adjustment among unaccompanied refugees was explored. This study included three waves of data collection in a population-based sample. The participants were 918 unaccompanied refugees who had received asylum

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Odden, M., A. M. Rawlings, A. M. Arnold, et al. "TRAJECTORIES OF CARDIOVASCULAR RISK FACTORS AND HEALTHY LONGEVITY: THE CARDIOVASCULAR HEALTH STUDY." Innovation in Aging 2, suppl_1 (2018): 367. http://dx.doi.org/10.1093/geroni/igy023.1358.

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McDonough, Peggy, and Pat Berglund. "Histories of Poverty and Self-Rated Health Trajectories." Journal of Health and Social Behavior 44, no. 2 (2003): 198. http://dx.doi.org/10.2307/1519808.

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Subudhi, Chittaranjan, Ramakrishna Biswal, and Padmanaban Srinivasan. "Marriage Trajectories among Patient with Mental Health Problem." Indian Journal of Public Health Research & Development 11, no. 1 (2020): 390. http://dx.doi.org/10.37506/v11/i1/2020/ijphrd/194157.

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