Norwegian Institute of Public Health

About: Norwegian Institute of Public Health is a government organization based out in Oslo, Norway. It is known for research contribution in the topics: Population & Pregnancy. The organization has 2038 authors who have published 8190 publications receiving 362847 citations. The organization is also known as: Folkehelseinstituttet & FHI.

Height and Body Mass Index in Relation to Total Mortality

Abstract: Background. The relation between body mass index (BMI) and mortality is not clear in the literature. An inverse relation between height and mortality has been suggested. We explore these relations in a very large cohort in Norway. Methods. We studied two million men and women, age 20–74 years, who were measured during 1963–2000. These persons were followed for an average of 22.1 years. We used Cox proportional hazard models in the analyses. Also, the optimal BMI (the BMI at the time of measurement that was subsequently related to the lowest mortality) was estimated. Results. Over the study period, 723,000 deaths were registered. The relative risk of death by BMI showed a J- or U-shaped curve, with the lowest rates of death at BMI between 22.5 and 25.0. In men, the optimal BMI increased from 21.6 when measured at age 20–29 to 24.0 when measured at age 70–74. In women, the optimal BMI was consistently higher, increasing from 22.2 to 25.7. Mortality decreased with increased height in men; in women, mortality decreased with height only up to heights of about 160–164 cm and then increased among the tallest women. Conclusions. The relation between BMI and mortality was J- or U-shaped, with the “optimal” BMI varying by age and sex. Height was inversely related to mortality in men and in women up to a height of 165 cm.

Impact of viral epidemic outbreaks on mental health of healthcare workers: a rapid systematic review

Abstract: Objectives: To examine the impact of providing healthcare during or after health emergencies caused by viral epidemic outbreaks on healthcare workers (HCWs) mental health, and to assess the available evidence base regarding interventions to reduce such impact. Design: Systematic rapid review and meta-analysis. Data sources: MEDLINE, Embase, and PsycINFO, searched up to 23 March 2020. Method: We selected observational and experimental studies examining the impact on mental health of epidemic outbreaks on HCWs. Titles and abstracts were screened by one reviewer, and full texts were evaluated by two reviewers independently. We extracted study characteristics, symptoms, prevalence of mental health problems, risk factors, mental health interventions, and its impact. We assessed risk of bias for each individual study. We conducted a narrative and tabulated synthesis of the results. We pooled data using random-effects meta-analyses to estimate the prevalence of specific mental health problems. We followed the GRADE approach to assess the certainty in the evidence. Results: We included 61 studies (56 examining impact on mental health and five about interventions to reduce such impact). Most were conducted in Asia (59%), examined the impact of the SARS epidemic (69%), and took place in the hospital setting (79%). The pooled prevalence was higher for anxiety (45%, 95% CI 21 to 69%; 6 studies, 3,373 participants), followed by depression (38%, 95% CI 15 to 60%; 7 studies, 3,636 participants), acute stress disorder (31%, 95% CI 0 to 82%, 3 studies , 2,587 participants), burnout (29%, 95% CI 25 to 32%; 3 studies; 1,168 participants) and post-traumatic stress disorder (19%, 95% CI 11 to 26%, 10 studies, 3,121 participants). Based on 37 studies, we identified a broad number of risk factors for these conditions, including sociodemographic: younger age and female gender; social factors: lack of social support, social rejection or isolation, stigmatization; and occupational: working in a high risk environment (frontline staff), specific occupational roles (e.g., nurse), and lower levels of specialized training, preparedness and job experience. Two out of five interventions identified were educational aimed to prevent mental health problems by increasing HCWs resilience. These interventions showed positive effects in confidence in support and training, pandemic self-efficacy and interpersonal problems solving (very low certainty). One multifaceted intervention (based on training and organisational changes) targeted at hospital nurses during the SARS epidemic produced statistically significant improvements in anxiety, depression, and sleep quality (very low certainty). The impact of the two remaining interventions (multifaceted and based on psychotherapy provision) was unreported. Conclusion: The prevalence of anxiety, depression, acute and post-traumatic stress disorder, and burnout, was high both during and after the outbreaks. These problems not only have a long-lasting effect on the mental health of HCWs, but also hinder the urgent response to the current COVID-19 pandemic, by jeopardising attention and decision-making. Governments and healthcare authorities should take urgent actions to protect the mental health of HCWs. In light of the limited evidence regarding the impact of interventions to tackle mental health problems in HCWs, the risk factors identified in this study represent important targets for future interventions.

Moving towards a population health approach to the primary prevention of common mental disorders.

Abstract: There is a need for the development of effective universal preventive approaches to the common mental disorders, depression and anxiety, at a population level. Poor diet, physical inactivity and smoking have long been recognized as key contributors to the high prevalence noncommunicable diseases. However, there are now an increasing number of studies suggesting that the same modifiable lifestyle behaviors are also risk factors for common mental disorders. In this paper we point to the emerging data regarding lifestyle risk factors for common mental disorders, with a particular focus on and critique of the newest evidence regarding diet quality. On the basis of this most recent evidence, we consequently argue for the inclusion of depression and anxiety in the ranks of the high prevalence noncommunicable diseases influenced by habitual lifestyle practices. We believe that it is both feasible and timely to begin to develop effective, sustainable, population-level prevention initiatives for the common mental illnesses that build on the established and developing approaches to the noncommunicable somatic diseases.

Defining chronic pain in epidemiological studies: a systematic review and meta-analysis.

Abstract: The objective was to document the operational definitions applied in epidemiological studies of chronic pain and to examine whether pain definitions and other methodological factors are systematically related to prevalence estimates. MEDLINE, EMBASE, and PsychINFO were searched for original research reports with study samples of at least 1000 individuals, excluding studies of less than 5 out of 15 selected body regions and studies solely concerned with specific pain conditions. Meta-analyses and meta-regressions were applied with random effects models; covariates were geography, sampling year, survey method, sampling frame, participation rate, percentage women of all participants, pain duration, and pain location. Of 6791 hits, 86 studies were included in the syntheses. The phrasing, content, and combinations of the chronic pain definition criteria were highly inconsistent, with virtually no 2 studies from independent research groups using the exact same criteria. Prevalence estimates ranged from 8.7% to 64.4%, with a pooled mean of 31%. Huge heterogeneity was shown in all forest plots. Prevalence estimates were significantly related to survey method (β = -10.8 [95% confidence interval: -17.2 to -4.4]), but it only counted for a small fraction of the between-studies variation in the estimates. There were also interaction effect of survey method by sex (female-male prevalence ratio [95% confidence interval]: questionnaire = 1.20 [1.16 to 1.25], and interview = 1.38 [1.29 to 1.47]). The other covariates investigated were not significantly related to the prevalence estimates. Researchers and clinicians should be aware of the probability that interview survey method of collecting data may give lower chronic pain reporting than questionnaire survey method and that this effect may be stronger in men than women.

Prescription drug use among fathers and mothers before and during pregnancy. A population-based cohort study of 106,000 pregnancies in Norway 2004-2006.

Abstract: WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT • Mothers are using medicines during pregnancies; the extent varies across the world and is generally difficult to compare. • In this registry-based study, we examined more than 100 000 Norwegian pregnancies and described the drug prescription pattern of both fathers and mothers around conception and during pregnancy (mothers). WHAT THIS STUDY ADDS • In every trimester of pregnancy, about 30% of the mothers was dispensed a drug. • The total drug exposure did not seem to diminish throughout pregnancy. • One-quarter of the fathers was dispensed drugs during the last 3 months prior to conception. AIMS The primary aim of this study was to describe the use of prescribed drugs in both mothers and fathers before and during pregnancy in Norway. METHODS This population-based cohort study was based on data retrieved from the Medical Birth Registry of Norway and the Norwegian Prescription Database. These registries cover the entire population of Norway. Information on >100 000 births during 2004–2006 in the birth registry was linked to prescription data. Prescriptions issued to mothers just prior to, during and after the pregnancies as well as prescriptions to fathers just prior to conception were identified. RESULTS Among mothers, 83% were prescribed drugs during the period 3 months prior to estimated conception until 3 months after giving birth. The mothers who received drugs were prescribed on average 3.3 different Anatomical Therapeutic Chemical (ATC) codes (range 1–38). During pregnancy, 57% were prescribed drugs. In the first trimester, 33% of mothers were dispensed drugs, while the figure was 29% for mothers in the last trimester. Among fathers, 25% used prescribed drugs during the 3 months prior to conception, with on average 1.9 different ATC codes (range 1–22). CONCLUSION Large proportions of both fathers and mothers were dispensed drugs prior to conception or during pregnancy. While there is a high awareness of the issues involved in maternal drug use in pregnancy, possible teratogenic effects of drug use in fathers shortly before conception should be further explored.