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1.
BMC Public Health ; 23(1): 1372, 2023 07 18.
Article in English | MEDLINE | ID: mdl-37464314

ABSTRACT

BACKGROUND: Parental drinking, mental health and family socioeconomic status are all associated with offspring sleep problems, but there is a paucity of research that considers the effect of risk factors, as they co-occur within and across families. Also, sleep problems are closely linked with mental health problems. Disentangling the effects on one or the other are important. We examined whether parental risk constellations are differently associated with offspring's subsequent prescription drug use for sleep problems during nine years with or without prescription drug use for anxiety and/or depression. METHODS: The sample included 8773 adolescent offspring of 6696 two-parent families who participated in the Nord-Trøndelag Health Study in Norway. The exposures were five parental risk constellations, previously identified via Latent Profile Analysis, characterized by drinking frequencies and quantities, mental health, and years of education. The outcomes were dispensed prescription drugs in offspring during 2008-2016 for (a) only sleep problems (b) sleep problems and anxiety/depression or (c) only anxiety/depression. We used multinomial logistic regression to model the odds of the outcomes. RESULTS: Compared to the overall low-risk parental constellation, none of the risky constellations were significantly associated with increased risk of being dispensed prescription drugs only for sleep problems. Offspring from two different risk profiles were at increased risk for being dispensed both sleep and anxiety/depression prescription drugs. These were parental profiles marked by (1) low education, symptoms of mental health problems and weekly binge drinking in both parents (OR 1.90, CI = 1.06;3.42); and (2) frequent heavy drinking in both parents and symptoms of mental health problems in fathers (OR 3.32, CI = 1.49;7.39). Offspring from the risk profile with lowest parental education had increased risk of only anxiety/depression prescription drugs (OR 1.25, CI = 1.05;1.49). CONCLUSION: Our findings suggest that parental risk constellations are not associated with increased risk of offspring receiving sleep medications without also receiving anxiety/depression medications, as two risk constellations were associated with increased risk of dispensation of both sleep and anxiety/depression prescription drugs. Receiving both may be an indication of severity. The findings underscore the importance of including measures of mental health problems when investigating sleep problems to avoid misattribution of effects.


Subject(s)
Prescription Drugs , Sleep Wake Disorders , Adolescent , Humans , Mental Health , Parents/psychology , Educational Status , Sleep Wake Disorders/drug therapy , Sleep Wake Disorders/epidemiology
2.
Scand J Public Health ; 51(6): 902-910, 2023 Aug.
Article in English | MEDLINE | ID: mdl-35331062

ABSTRACT

AIMS: Certain risk constellations of parental drinking, mental health and years of education are prospectively associated with offspring's risk for a diagnosis of anxiety/depression, but it remains unknown how they may relate to other aspects of offspring's mental health. We examined whether such risk constellations were also prospectively associated with the extent of offspring's utilisation of healthcare services for anxiety/depression. METHODS: The sample included 8773 adolescent offspring of 6696 two-parent families who participated in the Nord-Trøndelag Health Study in Norway. The exposures consisted of five parental risk constellations characterised by drinking frequencies and quantities, years of education and mental health previously derived based on the parental self-reports using latent profile analysis. The outcomes were the number of years in contact, and the total number of consultations/visits, with healthcare services for anxiety/depression in adolescents and young adults as recorded in healthcare registries in the period 2008-2014. Associations were examined using zero-inflated negative binomial regression models, accounting for demographics and offspring's early mental health. RESULTS: Parental risk constellations were not significantly associated with the extent of offspring's healthcare utilisation for anxiety/depression during the seven-year study period, neither in respect of number of years nor in number of contacts. CONCLUSIONS: Offspring of four risky constellations were no more likely to use healthcare services for longer time periods or have more consultations/visits than offspring of the lowest-risk constellation. Parental risk constellations appear more informative for understanding disorder aetiology than for understanding management and treatment of anxiety and depression during adolescence and early adulthood.


Subject(s)
Depression , Mental Health , Adolescent , Young Adult , Humans , Adult , Depression/epidemiology , Depression/therapy , Parents/psychology , Anxiety/epidemiology , Anxiety/therapy , Delivery of Health Care , Patient Acceptance of Health Care , Registries
3.
Body Image ; 38: 106-119, 2021 Sep.
Article in English | MEDLINE | ID: mdl-33838539

ABSTRACT

Science mapping is a methodology that combines quantitative analysis, classification, and visualisation to identify the composition and inter-relationships between bibliographic objects. Here, we used bibliometric science mapping to identify the overarching structure, evolution of research themes and research fronts, and geographic spread of body image research. We examined 2,783 keywords in 1,107 articles published in Body Image between 2004 and 2020, selected as being representative of body image research during this period. Co-occurrence analysis of the keywords enabled us to identify five general themes in the literature: "clinical and weight-related issues", "body image and disordered eating", "positive body image and objectification", "media effects", and "ethnicity/race". Burst analysis allowed us to identify research fronts in this research, with work on social media and positive body image in particular being identified as emergent. Finally, co-author analysis indicated that body image research networks are heavily focused on a small handful of nations, although there is evidence of a recent shift toward greater geographic spread. Our results, and the provision of interactive maps and extensive tables, should allow readers to examine connections between research clusters and areas, generate novel research ideas, and more fully understand the evolution and future trajectories of body image research.


Subject(s)
Bibliometrics , Body Image , Publications , Humans , Publications/statistics & numerical data
4.
BMC Med Inform Decis Mak ; 20(1): 309, 2020 11 30.
Article in English | MEDLINE | ID: mdl-33256719

ABSTRACT

BACKGROUND: The COVID-19 pandemic is a global public health emergency and experts emphasize the need for rapid and a high degree of communication and interaction between all parties, in order for critical research to be implemented. We introduce a resource (website) that provides bibliometric analysis showing the current content and structure of the published literature. As new research is published daily, the analysis is regularly updated to show the status as the research field develops and matures. METHODS: Two bibliometric methods were employed, the first is a keyword co-occurrence analysis, based on published work available from PubMed. The second is a bibliometric coupling analysis, based on articles available through Scopus. The results are presented as clustered network graphs; available as interactive network graphs through the webpage. RESULTS: For research as of March 23rd, keyword co-occurrence analysis showed that research was organized in 4 topic clusters: "Health and pandemic management", "The disease and its pathophysiology", "Clinical epidemiology of the disease" and "Treatment of the disease". Coupling analyses resulted in 4 clusters on literature that relates to "Overview of the new virus", "Clinical medicine", "On the virus" and "Reproduction rate and spread". CONCLUSION: We introduced a dynamic resource that will give a wide readership an overview of how the structure of the COVID-19 literature is developing. To illustrate what this can look like, we showed the structure as it stands three months after the virus was identified; the structure is likely to change as we progress to later stages of this pandemic.


Subject(s)
Bibliometrics , Biomedical Research/trends , COVID-19 , Humans , Pandemics , SARS-CoV-2
5.
BMC Psychiatry ; 20(1): 468, 2020 09 29.
Article in English | MEDLINE | ID: mdl-32993578

ABSTRACT

BACKGROUND: Research on parental mental illness is often carried out in disorder specific research silos. Drawing on the different research areas, it is possible to leverage and combine existing knowledge, and identify insights that can be transferred across research areas. In this study, we identify the overarching structure of research on parents with psychiatric disorders, and the structure of the different research areas, as defined by psychiatric disorder groups in ICD-10, and identify both topics that are commonly examined, and topics that received attention in only a few of the research areas. METHODS: We use bibliometric science mapping to examine keywords in 16,734 articles, showing the overarching structure of research on parents with mental illness, both overall and within ICD-10 psychiatric disorder categories. The search was conducted using the Scopus database for journal articles published between 1999 and 2018, with no restrictions on language. RESULTS: Co-occurrence analysis of the keywords in the 16,734 articles on parental mental illnesses in different psychiatric disorder categories, indicate there are six general themes in the literature: 'expectant mothers and early motherhood', 'substance use and abuse', 'Socio-economic status' (SES) and support practices', 'biomedical research', 'diagnoses, symptoms and treatment', and 'child-parent interaction and context'. Although the same themes are covered in different areas, the contexts, in terms of content and relation to other topics, vary between the research areas. Some topics are heavily researched in some areas, but seem to be neglected in others. CONCLUSIONS: This study provides data both in interactive maps and an extensive table, allowing readers to dive deep into their topic of interest, and examine how this connects to other topics, which may in turn guide identification of important gaps in the literature, and ultimately inspire and generate novel research avenues.


Subject(s)
Mental Disorders , Parents , Bibliometrics , Child , Humans , International Classification of Diseases , Parent-Child Relations
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