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Статті в журналах з теми "Longitudinal population study"

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Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 28 січня 2023

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1

Kuo, Pei-Lun, Jennifer A. Schrack, Morgan E. Levine, Michelle D. Shardell, Eleanor M. Simonsick, Chee W. Chia, Ann Zenobia Moore, et al. "Longitudinal phenotypic aging metrics in the Baltimore Longitudinal Study of Aging." Nature Aging 2, no. 7 (July 2022): 635–43. http://dx.doi.org/10.1038/s43587-022-00243-7.

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AbstractTo define metrics of phenotypic aging, it is essential to identify biological and environmental factors that influence the pace of aging. Previous attempts to develop aging metrics were hampered by cross-sectional designs and/or focused on younger populations. In the Baltimore Longitudinal Study of Aging (BLSA), we collected longitudinally across the adult age range a comprehensive list of phenotypes within four domains (body composition, energetics, homeostatic mechanisms and neurodegeneration/neuroplasticity) and functional outcomes. We integrated individual deviations from population trajectories into a global longitudinal phenotypic metric of aging and demonstrate that accelerated longitudinal phenotypic aging is associated with faster physical and cognitive decline, faster accumulation of multimorbidity and shorter survival. These associations are more robust compared with the use of phenotypic and epigenetic measurements at a single time point. Estimation of these metrics required repeated measures of multiple phenotypes over time but may uniquely facilitate the identification of mechanisms driving phenotypic aging and subsequent age-related functional decline.

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2

Meyer, Tim De. "Studying telomeres in a longitudinal population based study." Frontiers in Bioscience 13, no. 13 (2008): 2960. http://dx.doi.org/10.2741/2901.

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3

Dale, A. "Office of Population Censuses and Surveys Longitudinal Study." Environment and Planning A: Economy and Space 25, no. 10 (October 1993): 1383–85. http://dx.doi.org/10.1068/a251383.

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4

Frank, P. "Trends in smoking habits: A longitudinal population study." Family Practice 21, no. 1 (February 1, 2004): 33–38. http://dx.doi.org/10.1093/fampra/cmh108.

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5

van Os, J. "Cannabis Use and Psychosis: A Longitudinal Population-based Study." American Journal of Epidemiology 156, no. 4 (August 15, 2002): 319–27. http://dx.doi.org/10.1093/aje/kwf043.

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6

ETTINGER, R., and F. QIAN. "Postprocedural Problems in an Overdenture Population: A Longitudinal Study." Journal of Endodontics 30, no. 5 (May 2004): 310–14. http://dx.doi.org/10.1097/00004770-200405000-00003.

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7

Fruchter, Eyal, Ori Kapara, Avi Reichenberg, Rinat Yoffe, Oshrat Fono-Yativ, Yitshak Kreiss, Michael Davidson, and Mark Weiser. "Longitudinal association between epilepsy and schizophrenia:A population-based study." Epilepsy & Behavior 31 (February 2014): 291–94. http://dx.doi.org/10.1016/j.yebeh.2013.10.026.

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8

De Loore, Ellen, Nicole Gunther, Marjan Drukker, Frans Feron, Bernard Sabbe, Dirk Deboutte, Jim van Os, and Inez Myin-Germeys. "AUDITORY HALLUCINATIONS IN ADOLESCENCE: A LONGITUDINAL GENERAL POPULATION STUDY." Schizophrenia Research 102, no. 1-3 (June 2008): 229–30. http://dx.doi.org/10.1016/s0920-9964(08)70692-3.

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9

Fox, R. J., J. C. Lee, and R. A. Rudick. "Optimal reference population for the multiple sclerosis functional composite." Multiple Sclerosis Journal 13, no. 7 (April 27, 2007): 909–14. http://dx.doi.org/10.1177/1352458507076950.

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A reference population is used when integrating the individual components of the Multiple Sclerosis Functional Composite (MSFC) into a single composite score. The choice of reference populations may have a significant impact on the resulting MSFC score, yet the impact of different reference populations has not been evaluated. We evaluated the impact of different reference populations when deriving the Multiple Sclerosis Functional Composite (MSFC) in a group of MS patients followed longitudinally for two years. Reference populations included the study population at baseline ( n = 60), a group of healthy controls ( n = 18) and the National MS Society Task Force reference population ( n = variable). We found that the choice of reference population had a significant impact on the resulting MSFC Z-score, sometimes compromising the statistical sensitivity to change over time. Our results suggest that longitudinal studies employing a multisystem composite Z-score should use a reference population with similar patients, which can most easily be achieved by using the baseline measures of the population under study. These results have significant implications to sample size estimates for longitudinal clinical studies and therapeutic trials. Multiple Sclerosis 2007; 13: 909—914. http://msj.sagepub.com

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10

Korchagina, Irina, and Lidia Prokofieva. "Families with high school children: the need for social assistance." Population 25, no. 3 (September 29, 2022): 153–62. http://dx.doi.org/10.19181/population.2022.25.3.12.

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Families with children in Russia have a high risk of poverty. Often mothers do not work in these families, and the income of working family members together with social support measures are not sufficient. In recent years, support for families with children has been priority of social policy. At the same time, the State social assistance depends on the age of a child, and as the child is growing older the social assistance is decreasing. Until 2021 the whole variety of monetary payments to children was limited to the age category of 7 years (for all families) and up to 17 years (for single-parent families). These age limits put other children at a disadvantage as compared to children receiving assistance. That's why in March 2022 the Government announced a monthly cash payment for all children living in low-income families aged from 8 to 17 years. The next age limit for children in low-income families getting social support leaves without benefits children aged 17-18 years. Usually they do not have their own income, but they require not less, but more family expenses for their maintenance. The main goal of the study was to show that families with children aged 16-17 bear the same expenses as families with children under 16 years of age, but they have no additional sources of income. The study was based on the data from a population survey (Household Budget Survey-2019) and a longitudinal survey of families with school-age children (Russian Longitudinal Monitoring Survey of HSE2018-2019). The study emphasized the need of social support for families with senior school-age children.

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11

Costello, Emmet, James Rooney, Marta Pinto-Grau, Tom Burke, Marwa Elamin, Peter Bede, Roisin McMackin, et al. "Cognitive reserve in amyotrophic lateral sclerosis (ALS): a population-based longitudinal study." Journal of Neurology, Neurosurgery & Psychiatry 92, no. 5 (February 9, 2021): 460–65. http://dx.doi.org/10.1136/jnnp-2020-324992.

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BackgroundAmyotrophic lateral sclerosis (ALS) is often associated with cognitive and/or behavioural impairment. Cognitive reserve (CR) may play a protective role in offsetting cognitive impairment. This study examined the relationship between CR and longitudinal change in cognition in an Irish ALS cohort.MethodsLongitudinal neuropsychological assessment was carried out on 189 patients over 16 months using the Edinburgh cognitive and behavioural ALS screen (ECAS) and an additional battery of neuropsychological tests. CR was measured by combining education, occupation and physical activity data. Joint longitudinal and time-to-event models were fitted to investigate the associations between CR, performance at baseline and decline over time while controlling for non-random drop-out.ResultsCR was a significant predictor of baseline neuropsychological performance, with high CR patients performing better than those with medium or low CR. Better cognitive performance in high CR individuals was maintained longitudinally for ECAS, social cognition, executive functioning and confrontational naming. Patients displayed little cognitive decline over the course of the study, despite controlling for non-random drop-out.ConclusionsThese findings suggest that CR plays a role in the presentation of cognitive impairment at diagnosis but is not protective against cognitive decline. However, further research is needed to examine the interaction between CR and other objective correlates of cognitive impairment in ALS.

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12

Ji, Jing, Zhangya He, Pengfei Qu, Jiayi Gao, Wanyu Zhang, Pei Wu, Junxiang Wei, et al. "The Xi’an longitudinal mother–child cohort study: design, study population and methods." European Journal of Epidemiology 36, no. 2 (January 9, 2021): 223–32. http://dx.doi.org/10.1007/s10654-020-00704-6.

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13

Tatangelo, Mark, George Tomlinson, J. Michael Paterson, Edward Keystone, Nick Bansback, and Claire Bombardier. "Health care costs of rheumatoid arthritis: A longitudinal population study." PLOS ONE 16, no. 5 (May 6, 2021): e0251334. http://dx.doi.org/10.1371/journal.pone.0251334.

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Quantifying the contribution of rheumatoid arthritis to the acquisition of subsequent health care costs is an emerging focus of the rheumatologic community and payers of health care. Our objective was to determine the healthcare costs before and after diagnosis of rheumatoid arthritis (RA) from the public payer’s perspective. The study design was a longitudinal observational administrative data-based cohort with RA cases from Ontario Canada (n = 104,933) and two control groups, matched 1:1 on year of cohort entry from 2001 to 2016. The first control group was matched on age, sex and calendar year of cohort entry (diagnosis year for those with RA); the second group added medical history to the match before RA diagnosis year. The main exposure was new onset RA. The secondary exposure was calendar year of RA diagnosis to compare attributable costs over the study observation window. Main outcomes were health care costs in 2015 Canadian dollars, overall and by cost category. We used attribution methods to classify costs into those associated with RA, those associated with comorbidities, and age/sex-related underlying costs. Health care costs associated with RA increased up to the year of diagnosis, where they reached $8,591: $4,142 in RA associated costs; $1,242 in RA comorbidity associated costs; and $3,207 in underlying costs. In the eighth-year post diagnosis, the RA costs declined to $2,567 while the RA comorbidity associated costs remained relatively constant at $1,142, and the underlying age/sex related cost increased to $4,426. RA patients had lower costs when diagnosed in later calendar years. Our results suggest a large proportion of disease related health care costs are a result of costs associated with RA comorbidities, which may appear many years before diagnosis.

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14

Nossent, J., M. Ognjenovic, W. Raymond, H. Keen, C. Inderjeeth, and D. Preen. "FRI0192 MORTALITY IN IGA VASCULITIS: A LONGITUDINAL POPULATION-BASED STUDY." Annals of the Rheumatic Diseases 79, Suppl 1 (June 2020): 679. http://dx.doi.org/10.1136/annrheumdis-2020-eular.1655.

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Background:There is sparse population-level data on outcome in patients with Immunoglobulin-A vasculitis (IgAV) and none from AustraliaObjectives:We compared long-term mortality for paediatric and adult IgAV patients with age- and gender-matched controls.Methods:Linked health data for pediatric (<20 years=473) and adult (20+ years, n=267) IgAV patients were obtained from state-wide hospital and deaths registries in Western Australia for the period 1980-2015. All-cause mortality rates (MR) (deaths/1000 person-years) were compared with controls using mortality rate ratios (MRR) and with the general population of Western Australia by standardised mortality rate ratios (SMRR) with Poisson derived 95% confidence intervals (CI). We used Kaplan-Meier survival estimates and multivariate Cox regression derived hazard ratios (HR) for time dependent analyses.Results:In pediatric patients (mean age 7.2 years, 60 % male) MRR was 1.27 (CI: 0.34-4.08, p=0.68) and SMRR was 2.31 (CI: 0.72-5.7, p=0.47) (Table 1) with a 20-year survival rate (>99%) similar to controls. Despite higher rates of renal failure (1.5% vs 0.2%, p=0.002) deaths in pediatric IgAV patients were mainly from unrelated causes. In adult IgAV patients (mean age 55.8 years, 48% males) MMR was 2.06 (CI 1.70-2.50, p<0.01) and SMRR 6.16 (3.04 -14.3, p<0.01) (Table) during a mean of 19.5 years follow-up with significantly reduced survival at five (72.7 vs. 89.7 %) and twenty years (45.2% vs. 65.6 %) (p<0.05). Renal disease (HR: 1.47, CI 1.04 - 2.06), the presence of any comorbidity (HR:1.30, CI 1.23 - 1.37) and male gender (HR:1.23; CI 1.04 - 1.47) were independent predictors of death. While cardiovascular events (34.2%) and malignancy (19.4%) were the most frequent causes of death, only death from infections (5.8 vs 1.8%, p=0.02) and renal disease (3.6 vs 1.8%, p=0.03) were more frequent in adult IgAV patients than controls.Mortality data for childhood and adult-onset IgAV patients and controls. Figures indicate mean (±SD), numbers (%) or rate/1000 patient months (95% CI)PediatricAdultIgAVControlsP valueIgAVControlsPMean follow-up (yrs)22.71 (±5.2)23.75 (±3.17)0.00111.9 (±9.04)15.94 (±8.30)0.001Non-survivors (%)<5 (0.8)9 (0.9)0.5137 (51.3)394 (33.4)<0.001Person-years1027529520317818815MR0.39 (0.1, 0.9)0.30 (0.1, 0.5)43.11 (36,1,50.9)20.94 (18.9, 23.1)MRR1.27 (0.34, 4.08)0.672.06 (1.70, 2.50)<0.001SMRR2.31 (0.71, 5.71)0.716.16 (3.04, 14.3)<0.001Conclusion:Compared to controls and general population, mortality risk was not increased in paediatric IgAV patients for at least 20 years following diagnosis despite a higher rate of end stage renal failure. However, in adult IgAV patients, all-cause mortality risk was six times higher than in the general population leading to significantly reduced five-year survival, especially for male patients with comorbidity including renal disease.Acknowledgments:The authors thank the Data Custodians of the Hospital Morbidity Data Collection (HMDC), Emergency Department Data Collection (EDDC), the Western Australian Cancer Registry (WACR), the State Registry of Births, Deaths and Marriages, the WA Electoral Commission, and the NCIS for use of the CODURF dataset, and the staff at Data Linkage Branch at the Western Australian Department of Health for their assistance in provision of data. This work was supported by an unrestricted grant from the Arthritis Foundation of Western Australia. Author WDR received a PhD Scholarship in Memory of John Donald Stewart from the Arthritis Foundation of Western Australia.Disclosure of Interests:Johannes (“Hans”) Nossent Speakers bureau: Janssen, Milica Ognjenovic: None declared, warren raymond: None declared, Helen Keen Speakers bureau: Pfizer Austrlaia, Abbvie Australia, Charles Inderjeeth Consultant of: Linear Research Perth, David Preen: None declared

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15

Jayakody, Oshadi, Monique Breslin, Velandai K. Srikanth, and Michele L. Callisaya. "Gait Characteristics and Cognitive Decline: A Longitudinal Population-Based Study." Journal of Alzheimer's Disease 71, s1 (September 19, 2019): S5—S14. http://dx.doi.org/10.3233/jad-181157.

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16

Matsumoto, Kunichika, Kanako Seto, Shigeru Fujita, Takefumi Kitazawa, and Tomonori Hasegawa. "Population aging and physician maldistribution: A longitudinal study in Japan." Journal of Hospital Administration 5, no. 1 (October 21, 2015): 29. http://dx.doi.org/10.5430/jha.v5n1p29.

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Background: Over the past two decades, population aging and the introduction of the new postgraduate medical education program in 2004 have impacted on the geographic maldistribution of physicians in Japan. The purpose of this study was to evaluate recent changes in physician distribution across municipalities from 1996 to 2012 using Gini coefficients and to clarify the impact of the new medical education program on physician distribution.Methods: We extracted the number of physicians classified by type of medical institution and municipal bodies. Gini coefficients were calculated using both population and demand for medical services. We calculated the contribution ratio (CR) of maldistribution within each type of medical institution to the whole maldistribution using Rao’s method. In addition, we calculated the incremental difference in Gini coefficients between 2002 and 2010, and calculated the CR of the incremental Gini coefficient difference for each medical institution type using Seki’s method.Results: Both Gini coefficients decreased from 1996 to 2002, and increased after 2006. The CR of other hospitals increased from 2004. The incremental difference in the Gini coefficient using demand between 2002 and 2010 was 0.012, and the CR of each type of medical institution was -25.1% (university hospitals), 131.0% (other hospitals) and -5.9% (clinics).Conclusions: Our analysis showed that the geographic maldistribution of physicians has worsened since the introduction of the new postgraduate medical education program, and the CR of maldistribution in other hospitals was high. Our study suggested that new medical resource distribution policies should be discussed to improve maldistribution.

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17

Boussad, Yanis, Xi (Leslie) Chen, Arnaud Legout, Augustin Chaintreau, and Walid Dabbous. "Longitudinal study of exposure to radio frequencies at population scale." Environment International 162 (April 2022): 107144. http://dx.doi.org/10.1016/j.envint.2022.107144.

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18

Sbordone, Ludovico, Antonio Barone, Renato Nicodemo Ciaglia, Luca Ramaglia, and Vincent J. Iacono. "Longitudinal Study of Dental Implants in a Periodontally Compromised Population." Journal of Periodontology 70, no. 11 (November 1999): 1322–29. http://dx.doi.org/10.1902/jop.1999.70.11.1322.

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19

Buchan, Iain E., Evangelos Kontopantelis, Matthew Sperrin, Tarani Chandola, and Tim Doran. "North-South disparities in English mortality1965–2015: longitudinal population study." Journal of Epidemiology and Community Health 71, no. 9 (August 7, 2017): 928–36. http://dx.doi.org/10.1136/jech-2017-209195.

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20

Paterson, Donald H., Devin Govindasamy, Marjan Vidmar, David A. Cunningham, and John J. Koval. "Longitudinal Study of Determinants of Dependence in an Elderly Population." Journal of the American Geriatrics Society 52, no. 10 (October 2004): 1632–38. http://dx.doi.org/10.1111/j.1532-5415.2004.52454.x.

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21

Shaaban, Rafea, Mahmoud Zureik, David Soussan, Catherine Neukirch, Joachim Heinrich, Jordi Sunyer, Matthias Wjst, et al. "Rhinitis and onset of asthma: a longitudinal population-based study." Lancet 372, no. 9643 (September 2008): 1049–57. http://dx.doi.org/10.1016/s0140-6736(08)61446-4.

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22

Nelson, M., E. Kirshenbaum, P. Bajic, A. Farooq, and M. Baker. "087 Characterizing the Priapism Superuser: A Longitudinal, Population-based Study." Journal of Sexual Medicine 16, no. 4 (April 2019): S45. http://dx.doi.org/10.1016/j.jsxm.2019.01.097.

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23

Yamamoto, Atsushi, Kenji Takagishi, Hitoshi Shitara, Tsuyoshi Ichinose, Tsuyoshi Sasaki, Noritaka Hamano, Tsutomu Kobayashi, Daisuke Shimoyama, and Toshihisa Osawa. "Longitudinal study for rotator cuff tears in the general population." Journal of Shoulder and Elbow Surgery 24, no. 12 (December 2015): e347. http://dx.doi.org/10.1016/j.jse.2015.08.023.

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24

Munim, S., I. Azam, and Q. Abbas. "P196 Fetal biometry of the Pakistani population: A longitudinal study." International Journal of Gynecology & Obstetrics 107 (October 2009): S467—S468. http://dx.doi.org/10.1016/s0020-7292(09)61687-8.

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25

KNEKT, P. "Risk factors for subarachnoid hemorrhage in a longitudinal population study." Journal of Clinical Epidemiology 44, no. 9 (1991): 933–39. http://dx.doi.org/10.1016/0895-4356(91)90056-f.

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26

Kvalem, Ingela Lundin, Tilmann von Soest, Bente Træen, and Kjetil Singsaas. "Body evaluation and coital onset: A population-based longitudinal study." Body Image 8, no. 2 (March 2011): 110–18. http://dx.doi.org/10.1016/j.bodyim.2011.02.001.

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27

Gopalakrishnan, S., P. K. Chugh, M. Chhillar, V. K. Ambardar, M. Sahoo, and R. Sankar. "Goitrous Autoimmune Thyroiditis in a Pediatric Population: A Longitudinal Study." PEDIATRICS 122, no. 3 (September 1, 2008): e670-e674. http://dx.doi.org/10.1542/peds.2008-0493.

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28

Richards, James M. "Career Development: A Ten-Year Longitudinal Study in Population Scientists." Journal of Career Assessment 1, no. 2 (December 1993): 181–92. http://dx.doi.org/10.1177/106907279300100207.

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29

Österberg, Tor, Dowen Birkhed, Cecilia Johansson, and Alvar Svanborg. "Longitudinal study of stimulated whole saliva in an elderly population." European Journal of Oral Sciences 100, no. 6 (December 1992): 340–45. http://dx.doi.org/10.1111/j.1600-0722.1992.tb01084.x.

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30

Sermon, S., J. M. Lapoussi�re, C. Dolisi, J. Wolkiewiez, and M. Gastaud. "Pulmonary function of a firemen-diver population: a longitudinal study." European Journal of Applied Physiology and Occupational Physiology 69, no. 5 (1994): 456–60. http://dx.doi.org/10.1007/bf00865412.

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31

Artero, Sylvaine, Jacques Touchon, and Karen Ritchie. "Disability and mild cognitive impairment: a longitudinal population-based study." International Journal of Geriatric Psychiatry 16, no. 11 (2001): 1092–97. http://dx.doi.org/10.1002/gps.477.

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32

Li, Jie, Stephen P. Motsko, Earl L. Goehring, Ruby Vendiola, Mary Maneno, and Judith K. Jones. "Longitudinal study on pediatric dyslipidemia in population-based claims database." Pharmacoepidemiology and Drug Safety 19, no. 1 (December 24, 2009): 90–98. http://dx.doi.org/10.1002/pds.1877.

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33

Blohm, F., B. Fridén, and I. Milsom. "A prospective longitudinal population-based study of clinical miscarriage in an urban Swedish population." BJOG: An International Journal of Obstetrics & Gynaecology 115, no. 2 (December 7, 2007): 176–83. http://dx.doi.org/10.1111/j.1471-0528.2007.01426.x.

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34

Kirkland, Susan A., Parminder S. Raina, Christina Wolfson, Geoff Strople, Olga Kits, Steven Dukeshire, Camille L. Angus, et al. "Exploring the Acceptability and Feasibility of Conducting a Large Longitudinal Population-Based Study in Canada." Canadian Journal on Aging / La Revue canadienne du vieillissement 28, no. 3 (September 2009): 231–42. http://dx.doi.org/10.1017/s0714980809990043.

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Анотація:

RÉSUMÉLe recrutement et la rétention réussis lors d’études longitudinales basées sur la population exigent la compréhension des facilitants et des barrières à la participation. Les points de vue des Canadiens(nes) concernant une telle étude proposée, l’Étude longitudinale canadienne sur le vieillissement (ÉLCV), ont été explorés. Des groupes de discussion de participants âgés de ≥ 40 ans ont été mis en place dans six emplacements proposés pour la collecte de données de l’ÉLCV (Halifax, Montréal, Hamilton, Winnipeg, Calgary et Vancouver) pour discuter de la participation possible à une étude à long terme sur le vieillissement en santé. Il y avait un soutien marqué pour la recherche longitudinale sur la santé et le vieillissement. L’altruisme était une motivation clée à la participation et les universités ont été perçues comme des institutions crédibles pour entreprendre de telles études. Les participants ont eu peu d’inquiétude à l’égard du don d’échantillons biologiques, mais ont exprimé quelques inquiétudes concernant l’utilisation inapproprié du matériel génétique, la commercialisation des données de participant et les questions reliées à la confidentialité et la vie privée. Ces résultats ont déjà eu un impact sur le travail actuel, et futur, de l’ÉLCV, et fourniront également des informations utiles aux chercheurs qui entreprennent d’autres études longitudinales basées sur la population.

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35

Nilssen, Odd, and Olav Helge Førde. "Seven-year Longitudinal Population Study of Change in Gamma-glutamyltransferase: The Tromsø Study." American Journal of Epidemiology 139, no. 8 (April 15, 1994): 787–92. http://dx.doi.org/10.1093/oxfordjournals.aje.a117075.

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Alaie, Iman, Anna Philipson, Richard Ssegonja, Lars Hagberg, Inna Feldman, Filipa Sampaio, Margareta Möller, et al. "Uppsala Longitudinal Adolescent Depression Study (ULADS)." BMJ Open 9, no. 3 (March 2019): e024939. http://dx.doi.org/10.1136/bmjopen-2018-024939.

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PurposeTo present the Uppsala Longitudinal Adolescent Depression Study, initiated in Uppsala, Sweden, in the early 1990s. The initial aim of this epidemiological investigation was to study the prevalence, characteristics and correlates of adolescent depression, and has subsequently expanded to include a broad range of social, economic and health-related long-term outcomes and cost-of-illness analyses.ParticipantsThe source population was first-year students (aged 16–17) in upper-secondary schools in Uppsala during 1991–1992, of which 2300 (93%) were screened for depression. Adolescents with positive screening and sex/age-matched peers were invited to a comprehensive assessment. A total of 631 adolescents (78% females) completed this assessment, and 409 subsequently completed a 15-year follow-up assessment. At both occasions, extensive information was collected on mental disorders, personality and psychosocial situation. Detailed social, economic and health-related data from 1993 onwards have recently been obtained from the Swedish national registries for 576 of the original participants and an age-matched reference population (N≥200 000).Findings to dateThe adolescent lifetime prevalence of a major depressive episode was estimated to be 11.4%. Recurrence in young adulthood was reported by the majority, with a particularly poor prognosis for those with a persistent depressive disorder or multiple somatic symptoms. Adolescent depression was also associated with an increased risk of other adversities in adulthood, including additional mental health conditions, low educational attainment and problems related to intimate relationships.Future plansLongitudinal studies of adolescent depression are rare and must be responsibly managed and utilised. We therefore intend to follow the cohort continuously by means of registries. Currently, the participants are approaching mid-adulthood. At this stage, we are focusing on the overall long-term burden of adolescent depression. For this purpose, the research group has incorporated expertise in health economics. We would also welcome extended collaboration with researchers managing similar datasets.

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Piesse, Andrea, Jean Opsomer, Sylvia Dohrmann, Ralph DiGaetano, David Morganstein, Kristie Taylor, Charles Carusi, and Andrew Hyland. "Longitudinal Uses of the Population Assessment of Tobacco and Health Study." Tobacco Regulatory Science 7, no. 1 (January 1, 2021): 3–16. http://dx.doi.org/10.18001/trs.7.1.1.

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Objectives: The Population Assessment of Tobacco and Health (PATH) Study is a nationally representative study of the US population on tobacco use and its effects on health, with 3 waves of data collection between 2013 and 2016. Prior work described the methods of the first wave. In this paper, we describe the methods of the subsequent 2 waves and provide recommendations for how to conduct longitudinal analyses of PATH Study data. Methods: We use standard survey quality metrics to evaluate the results of the follow-up waves of the PATH Study. The recommendations and examples of longitudinal and cross-sectional analyses of PATH Study data follow a design-based statistical inference framework. Results: The quality metrics indicate that the PATH Study sample of approximately 40,000 continuing respondents remains representative of its target population. Depending on the intended analysis, different survey weights may be appropriate. Conclusion: The PATH Study data are a valuable resource for regulatory scientists interested in longitudinal analysis of tobacco use and its effects on health. The availability of multiple sets of specialized survey weights enables researchers to target a wide range of tobacco-related analytic questions.

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Edman, Kristina, Anders Holmlund, and Ola Norderyd. "‘Caries disease among an elderly population—A 10‐year longitudinal study’." International Journal of Dental Hygiene 19, no. 2 (February 21, 2021): 166–75. http://dx.doi.org/10.1111/idh.12490.

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Grisso, J. A., D. F. Schwarz, C. G. Miles, and J. H. Holmes. "Injuries among inner-city minority women: a population-based longitudinal study." American Journal of Public Health 86, no. 1 (January 1996): 67–70. http://dx.doi.org/10.2105/ajph.86.1.67.

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Hvide, Hans K., and Julian Johnsen. "COVID-19 and mental health: a longitudinal population study from Norway." European Journal of Epidemiology 37, no. 2 (January 27, 2022): 167–72. http://dx.doi.org/10.1007/s10654-021-00836-3.

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AbstractExisting research has found adverse short-term effects of the COVID-19 pandemic on mental health, but longer-term effects have been less documented. Using newly released register data on all general practitioner consultations in Norway through 2020 (about 14 million consultations in total), we find that during the spring and early summer 2020, the number of psychological cases initially increased relative to prior years, but then fell back towards the level of prior years during the summer 2020. In early September 2020, the number of cases accelerated, a pattern that held up through December 2020, so that the gap between 2020 and prior years became largest end-of-year. Our findings suggest that the accumulated adverse effects of the COVID-19 pandemic on mental health far exceeds the short-term effects. The effects are particularly strong for females and for residents in urban areas.

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Ekström, Ingrid, Maria Larsson, Debora Rizzuto, Johan Fastbom, Lars Bäckman, and Erika J. Laukka. "Predictors of Olfactory Decline in Aging: A Longitudinal Population-Based Study." Journals of Gerontology: Series A 75, no. 12 (September 4, 2020): 2441–49. http://dx.doi.org/10.1093/gerona/glaa221.

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Abstract Background Olfactory dysfunction is common in aging and associated with dementia and mortality. However, longitudinal studies tracking change in olfactory ability are scarce. We sought to identify predictors of interindividual differences in rate of olfactory identification change in aging. Method Participants were 1780 individuals, without dementia at baseline and with at least 2 olfactory assessments over 12 years of follow-up (mean age = 70.5 years; 61.9% female), from the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K). Odor identification was assessed with the Sniffin’ Sticks. We estimated the impact of demographic, health, and genetic factors on rate of olfactory change with linear mixed effect models. Results Advancing age, manufacturing profession, history of cerebrovascular disease, higher cardiovascular disease burden, diabetes, slower walking speed, higher number of medications, and the APOE ε4 allele were associated with accelerated odor identification decline (ps < .014). Multi-adjusted analyses showed unique associations of age, diabetes, and ε4 to olfactory decline (ps < .017). In 1531 participants who remained free of dementia (DSM IV criteria) during follow-up, age, cardiovascular disease burden, and diabetes were associated with accelerated decline (ps < .011). Of these, age and diabetes remained statistically significant in the multi-adjusted model (ps < .001). Conclusion Demographic, vascular, and genetic factors are linked to rate of decline in odor identification in aging. Although some olfactory loss may be an inevitable part of aging, our results highlight the importance of vascular factors for the integrity of the olfactory system, even in the absence of dementia.

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Welmer, A. K., D. Rizzuto, C. Qiu, B. Caracciolo, and E. J. Laukka. "Walking Speed, Processing Speed, and Dementia: A Population-Based Longitudinal Study." Journals of Gerontology Series A: Biological Sciences and Medical Sciences 69, no. 12 (April 4, 2014): 1503–10. http://dx.doi.org/10.1093/gerona/glu047.

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Reed, Barbara D., Sioban D. Harlow, Melissa A. Plegue, and Ananda Sen. "Remission, Relapse, and Persistence of Vulvodynia: A Longitudinal Population-Based Study." Journal of Women's Health 25, no. 3 (March 2016): 276–83. http://dx.doi.org/10.1089/jwh.2015.5397.

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Tamang, Suzanne, Arnold Milstein, Henrik Toft Sørensen, Lars Pedersen, Lester Mackey, Jean-Raymond Betterton, Lucas Janson, and Nigam Shah. "Predicting patient ‘cost blooms’ in Denmark: a longitudinal population-based study." BMJ Open 7, no. 1 (January 2017): e011580. http://dx.doi.org/10.1136/bmjopen-2016-011580.

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Torppa-Saarinen, Eeva, Mimmi Tolvanen, Anna L. Suominen, and Satu Lahti. "Changes in perceived oral health in a longitudinal population-based study." Community Dentistry and Oral Epidemiology 46, no. 6 (June 29, 2018): 569–75. http://dx.doi.org/10.1111/cdoe.12393.

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Kirkevang, L. L., M. Vaeth, P. Horsted-Bindslev, and A. Wenzel. "Longitudinal study of periapical and endodontic status in a Danish population." International Endodontic Journal 39, no. 2 (February 2006): 100–107. http://dx.doi.org/10.1111/j.1365-2591.2006.01051.x.

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Dudani, Ameeta, Alison Macpherson, and Hala Tamim. "Childhood Behavior Problems and Unintentional Injury: A Longitudinal, Population-Based Study." Journal of Developmental & Behavioral Pediatrics 31, no. 4 (May 2010): 276–85. http://dx.doi.org/10.1097/dbp.0b013e3181da7785.

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Lorant, Vincent, Christophe Croux, Scott Weich, Denise Deliège, Johan Mackenbach, and Marc Ansseau. "Depression and socio-economic risk factors: 7-year longitudinal population study." British Journal of Psychiatry 190, no. 4 (April 2007): 293–98. http://dx.doi.org/10.1192/bjp.bp.105.020040.

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BackgroundLow socio-economic status is associated with a higher prevalence of depression, but it is not yet known whether change in socio-economic status leads to a change in rates of depression.AimsTo assess whether longitudinal change in socio-economic factors affects change of depression level.MethodIn a prospective cohort study using the annual Belgian Household Panel Survey (1992–1999), depression was assessed using the Global Depression Scale. Socio-economic factors were assessed with regard to material standard of living, education, employment status and social relationships.ResultsA lowering in material standard of living between annual waves was associated with increases in depressive symptoms and caseness of major depression. Life circumstances also influenced depression. Ceasing to cohabit with a partner increased depressive symptoms and caseness, and improvement in circumstances reduced them; the negative effects were stronger than the positive ones.ConclusionsThe study showed a clear relationship between worsening socio-economic circumstances and depression.

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PLOTNIKOFF, R. C., S. B. HOTZ, N. J. BIRKETT, J. S. HANSEN, and L. E. LEONARD. "EXPLAINING ENERGY EXPENDITURE AND STAGES OF CHANGE: A LONGITUDINAL POPULATION STUDY." Medicine & Science in Sports & Exercise 31, Supplement (May 1999): S186. http://dx.doi.org/10.1097/00005768-199905001-00834.

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Barbee, Robert A., Marilyn Halonen, Walter T. Kaltenborn, and Benjamin Burrows. "A Longitudinal Study of Respiratory Symptoms in a Community Population Sample." Chest 99, no. 1 (January 1991): 20–26. http://dx.doi.org/10.1378/chest.99.1.20.

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