61 research outputs found

    Mental Health, Academic Self-Efficacy and Study Progress Among College Students – The SHoT Study, Norway

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    Student life can be stressful and for some students it may cause mental distress. Besides being a major public health challenge, mental distress can influence academic achievement. The main objectives of the current study were to examine associations of mental distress with academic self-efficacy and study progress. A secondary aim was to examine mental health help seeking for students with mental distress. Data was derived from the Norwegian Students’ health and welfare survey 2014 (SHOT 2014) which is the first major survey comprising questions of both mental health, academic self-efficacy and psychosocial factors amongst students. Utilizing these data for a Norwegian region, we found that 749 (31%) of the 2430 Norwegian full-time students under the age of 35 responded to the survey. Symptoms of mental distress were measured using the Hopkins Symptom Checklist (HSCL-25) and academic self-efficacy was measured using a Norwegian version of the General Self-Efficacy Scale (GSE) tailored to the academic setting. Demographic-, social, lifestyle, and study-related variables were included in the analyses. Logistic regression analyses were performed to assess the relationship between mental distress, academic self-efficacy, and academic performance. Seventeen percent reported severe symptoms of psychological distress which is similar to the overall prevalence among students in Norway. Students reporting severe mental distress were four times as likely to report low academic self-efficacy and twice as likely to report delayed study progress compared to students reporting few or moderate symptoms of mental distress. 27% of those reporting severe mental distress had sought professional help whereas 31% had considered seeking help. The study showed that there was a strong association between symptoms of mental distress, academic self-efficacy and study progress. Prospective studies should evaluate whether improved help-seeking and psychological treatment can promote students mental health and ultimately improve academic self-efficacy and study progress

    Prevalence of multimorbidity with frailty and associations with socioeconomic position in an adult population : findings from the cross-sectional HUNT Study in Norway

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    ObjectivesTo explore prevalences and occupational group inequalities of two measures of multimorbidity with frailty.DesignCross-sectional study.SettingThe Nord-TrOndelag Health Study (HUNT), Norway, a total county population health survey, 2006-2008.ParticipantsParticipants older than 25 years, with complete questionnaires, measurements and occupation data were included.Outcomes >= 2 of 51 multimorbid conditions with >= 1 of 4 frailty measures (poor health, mental illness, physical impairment or social impairment) and >= 3 of 51 multimorbid conditions with >= 2 of 4 frailty measures.AnalysisLogistic regression models with age and occupational group were specified for each sex separately.ResultsOf 41 193 adults, 38 027 (55% female; 25-100 years old) were included. Of them, 39% had >= 2 multimorbid conditions with >= 1 frailty measure, and 17% had >= 3 multimorbid conditions with >= 2 frailty measures. Prevalence differences in percentage points (pp) with 95% confidence intervals of those in high versus low occupational group with >= 2 multimorbid conditions and >= 1 frailty measure were largest in women age 30 years, 17 (14 to 20) pp and 55 years, 15 (13 to 17) pp and in men age 55 years, 15 (13 to 17) pp and 80 years, 14 (9 to 18) pp. In those with >= 3 multimorbid conditions and >= 2 frailty measures, prevalence differences were largest in women age 30 years, 8 (6 to 10) pp and 55 years, 10 (8 to 11) ppand in men age 55 years, 9 (8 to 11) pp and 80 years, 6 (95% CI 1 to 10) pp.ConclusionMultimorbidity with frailty is common, and social inequalities persist until age 80 years in women and throughout the lifespan in men. To manage complex multimorbidity, strategies for proportionate universalism in medical education, healthcare, public health prevention and promotion seem necessary

    May telephone surveys provide reliable public health surveillance data for municipalities? Mode effects differ between categories of questions. The HUNT Study, Norway

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    Background: Availability of data on health and its determinants at the local area level is a prerequisite for developing interventions and public health campaigns locally. Collecting self-reported data by means of telephone interviews may rapidly provide relevant data. The reliability of such data may be questioned. In this study, we sought to compare exact similar questions addressed by a recent telephone survey with a previous large scale and very comprehensive population health survey (The Nord-Trøndelag Health Study 2006-08 – HUNT3), conducted a few years earlier in the same geographical region. This was done in order to examine the reliability of telephone interviews as a method to provide data on health and determinants to enable municipal authorities to get a sufficient overview. Methods: One rural and one urban municipality covered by HUNT3 using paper questionnaires were resurveyed through computer assisted telephone interviews. The weighted results for 34 dichotomized variables were compared using chi square tests. Results: The comparison of results between the rural and the urban samples and HUNT3 involved 68 chi square tests, 25 of which (38%) displayed significant differences. The ability of the telephone survey to replicate the results from HUNT3 was only moderate, but with differences between survey themes. Comparability was poor for adverse life events and mental health factors, fair for behavioural and risk factors, and skewed for general health and life satisfaction. The replication was good for reports on the less sensitive and subjective theme of cultural participation. Conclusion: The comparability of the data differed between themes. The differences may be ascribed to mode effects and to some extent the time lag between the surveys. Because replicability on issues that may be more embarrassing or stressful to recall appears to be poorer, and the more subjective self-assessments of health and well-being appear skewed, it is reasonable to conclude that there is an interviewer effect in the telephone survey. The use of a questionnaire through mail or web to monitor public health in municipalities should be considered as an alternative

    Depression, anxiety, and the risk of cancer:An individual participant data meta-analysis

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    Background: Depression and anxiety have long been hypothesized to be related to an increased cancer risk. Despite the great amount of research that has been conducted, findings are inconclusive. To provide a stronger basis for addressing the associations between depression, anxiety, and the incidence of various cancer types (overall, breast, lung, prostate, colorectal, alcohol-related, and smoking-related cancers), individual participant data (IPD) meta-analyses were performed within the Psychosocial Factors and Cancer Incidence (PSY-CA) consortium. Methods: The PSY-CA consortium includes data from 18 cohorts with measures of depression or anxiety (up to N = 319,613; cancer incidences, 25,803; person-years of follow-up, 3,254,714). Both symptoms and a diagnosis of depression and anxiety were examined as predictors of future cancer risk. Two-stage IPD meta-analyses were run, first by using Cox regression models in each cohort (stage 1), and then by aggregating the results in random-effects meta-analyses (stage 2). Results: No associations were found between depression or anxiety and overall, breast, prostate, colorectal, and alcohol-related cancers. Depression and anxiety (symptoms and diagnoses) were associated with the incidence of lung cancer and smoking-related cancers (hazard ratios [HRs], 1.06–1.60). However, these associations were substantially attenuated when additionally adjusting for known risk factors including smoking, alcohol use, and body mass index (HRs, 1.04–1.23). Conclusions: Depression and anxiety are not related to increased risk for most cancer outcomes, except for lung and smoking-related cancers. This study shows that key covariates are likely to explain the relationship between depression, anxiety, and lung and smoking-related cancers. Preregistration number: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=157677.</p

    Psychosocial factors, health behaviors and risk of cancer incidence:Testing interaction and effect modification in an individual participant data meta-analysis

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    Depression, anxiety and other psychosocial factors are hypothesized to be involved in cancer development. We examined whether psychosocial factors interact with or modify the effects of health behaviors, such as smoking and alcohol use, in relation to cancer incidence. Two-stage individual participant data meta-analyses were performed based on 22 cohorts of the PSYchosocial factors and CAncer (PSY-CA) study. We examined nine psychosocial factors (depression diagnosis, depression symptoms, anxiety diagnosis, anxiety symptoms, perceived social support, loss events, general distress, neuroticism, relationship status), seven health behaviors/behavior-related factors (smoking, alcohol use, physical activity, body mass index, sedentary behavior, sleep quality, sleep duration) and seven cancer outcomes (overall cancer, smoking-related, alcohol-related, breast, lung, prostate, colorectal). Effects of the psychosocial factor, health behavior and their product term on cancer incidence were estimated using Cox regression. We pooled cohort-specific estimates using multivariate random-effects meta-analyses. Additive and multiplicative interaction/effect modification was examined. This study involved 437,827 participants, 36,961 incident cancer diagnoses, and 4,749,481 person years of follow-up. Out of 744 combinations of psychosocial factors, health behaviors, and cancer outcomes, we found no evidence of interaction. Effect modification was found for some combinations, but there were no clear patterns for any particular factors or outcomes involved. In this first large study to systematically examine potential interaction and effect modification, we found no evidence for psychosocial factors to interact with or modify health behaviors in relation to cancer incidence. The behavioral risk profile for cancer incidence is similar in people with and without psychosocial stress.</p

    Psychosocial factors, health behaviors and risk of cancer incidence:Testing interaction and effect modification in an individual participant data meta-analysis

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    Depression, anxiety and other psychosocial factors are hypothesized to be involved in cancer development. We examined whether psychosocial factors interact with or modify the effects of health behaviors, such as smoking and alcohol use, in relation to cancer incidence. Two-stage individual participant data meta-analyses were performed based on 22 cohorts of the PSYchosocial factors and CAncer (PSY-CA) study. We examined nine psychosocial factors (depression diagnosis, depression symptoms, anxiety diagnosis, anxiety symptoms, perceived social support, loss events, general distress, neuroticism, relationship status), seven health behaviors/behavior-related factors (smoking, alcohol use, physical activity, body mass index, sedentary behavior, sleep quality, sleep duration) and seven cancer outcomes (overall cancer, smoking-related, alcohol-related, breast, lung, prostate, colorectal). Effects of the psychosocial factor, health behavior and their product term on cancer incidence were estimated using Cox regression. We pooled cohort-specific estimates using multivariate random-effects meta-analyses. Additive and multiplicative interaction/effect modification was examined. This study involved 437,827 participants, 36,961 incident cancer diagnoses, and 4,749,481 person years of follow-up. Out of 744 combinations of psychosocial factors, health behaviors, and cancer outcomes, we found no evidence of interaction. Effect modification was found for some combinations, but there were no clear patterns for any particular factors or outcomes involved. In this first large study to systematically examine potential interaction and effect modification, we found no evidence for psychosocial factors to interact with or modify health behaviors in relation to cancer incidence. The behavioral risk profile for cancer incidence is similar in people with and without psychosocial stress.</p
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