Obesity and mental disorders in the adult general population Scott, Kate M; McGee, Magnus A; Wells, J. Elisabeth ...
Journal of psychosomatic research,
2008, January 2008, 2008-Jan, 2008-01-00, 20080101, Letnik:
64, Številka:
1
Journal Article
Recenzirano
Abstract Objective The aim of this study was to investigate (i) the associations between mental disorders (in particular the anxiety disorders) and obesity in the general population and (ii) ...potential moderators of those associations (ethnicity, age, sex, and education). Methods A nationally representative face-to-face household survey was conducted in New Zealand with 12,992 participants 16 years and older, achieving a response rate of 73.3%. Ethnic subgroups (Maori and Pacific peoples) were oversampled. Mental disorders were measured with the Composite International Diagnostic Interview (CIDI 3.0). Height and weight were self-reported. Obesity was defined as a body mass index (BMI) of 30 kg/m2 or greater. Results Obesity was significantly associated with any mood disorder (OR 1.23), major depressive disorder (OR 1.27), any anxiety disorder (OR 1.46), and most strongly with some individual anxiety disorders such as post-traumatic stress disorder (PTSD) (OR 2.64). Sociodemographic correlates moderated the association between obesity and mood disorders but were less influential in obesity–anxiety disorder associations. Adjustment for the comorbidity between anxiety and mood disorders made little difference to the relationship between obesity and anxiety disorders (OR 1.36) but rendered the association between obesity and mood disorders insignificant (OR 1.05). Conclusion Stronger associations were observed between anxiety disorders and obesity than between mood disorders and obesity; the association between PTSD and obesity is a novel finding. These findings are interpreted in light of research on the role of anxiety in eating pathology, and deserve the further attention of researchers and clinicians.
One goal in sequencing the Plasmodium falciparum genome, the agent of the most lethal form of malaria, is to discover vaccine and drug targets. However, identifying those targets in a genome in which ...∼60% of genes have unknown functions is an enormous challenge. Because the majority of known malaria antigens and drug-resistant genes are highly polymorphic and under various selective pressures, genome-wide analysis for signatures of selection may lead to discovery of new vaccine and drug candidates. Here we surveyed 3,539 P. falciparum genes (∼65% of the predicted genes) for polymorphisms and identified various highly polymorphic loci and genes, some of which encode new antigens that we confirmed using human immune sera. Our collections of genome-wide SNPs (∼65% nonsynonymous) and polymorphic microsatellites and indels provide a high-resolution map (one marker per ∼4 kb) for mapping parasite traits and studying parasite populations. In addition, we report new antigens, providing urgently needed vaccine candidates for disease control.
Celotno besedilo
Dostopno za:
DOBA, IJS, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Understanding the influences of population structure, selection, and recombination on polymorphism and linkage disequilibrium (LD) is integral to mapping genes contributing to drug resistance or ...virulence in Plasmodium falciparum. The parasite's short generation time, coupled with a high cross-over rate, can cause rapid LD break-down. However, observations of low genetic variation have led to suggestions of effective clonality: selfing, population admixture, and selection may preserve LD in populations. Indeed, extensive LD surrounding drug-resistant genes has been observed, indicating that recombination and selection play important roles in shaping recent parasite genome evolution. These studies, however, provide only limited information about haplotype variation at local scales. Here we describe the first (to our knowledge) chromosome-wide SNP haplotype and population recombination maps for a global collection of malaria parasites, including the 3D7 isolate, whose genome has been sequenced previously. The parasites are clustered according to continental origin, but alternative groupings were obtained using SNPs at 37 putative transporter genes that are potentially under selection. Geographic isolation and highly variable multiple infection rates are the major factors affecting haplotype structure. Variation in effective recombination rates is high, both among populations and along the chromosome, with recombination hotspots conserved among populations at chromosome ends. This study supports the feasibility of genome-wide association studies in some parasite populations.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Objective: To estimate the lifetime prevalence and projected lifetime risk at age 75 years of DSM-IV disorders in New Zealand.
Method: A nationwide face-to-face household survey carried out in ...2003–2004. A fully structured diagnostic interview, the World Health Organization Composite International Diagnostic Interview (CIDI 3.0), was used. There were 12 992 completed interviews from participants aged 16 years and over. The overall response rate was 73.3%. In this paper, the outcomes reported are lifetime prevalence and projected lifetime risk at age 75 years.
Results: The lifetime prevalence of any disorder was 39.5%. The lifetime prevalences for disorder groups were: anxiety disorders, 24.9%; mood disorders, 20.2%; substance use disorders, 12.3%; and eating disorders, 1.7%. The prevalences for all disorders were higher in the younger age groups. Females had higher prevalences of anxiety, mood and eating disorders compared with males; males had higher prevalences of substance use disorders. The estimated projected lifetime risk of any disorder at age 75 years was 46.6% with the median age of onset being 18 years. Adjustment for age, sex, education and household income did not remove all differences between Māori and the composite other ethnic group in the risk of disorder (hazard ratio = 1.1–1.4). After adjustment, hazard ratios for Pacific people ranged from 0.8 to 2.5.
Conclusions: These results confirm those of other studies: mental disorders are relatively common and tend to have early onset. Females are more likely to experience anxiety, mood and eating disorders than males, who experience more substance use disorders. Adjustment for socioeconomic factors and demography does not explain all ethnic differences, although remaining differences are small relative to cohort and even sex differences.
Objective: To estimate the lifetime prevalence and projected lifetime risk at age 75 years of DSM‐IV disorders in New Zealand.
Method: A nationwide face‐to‐face household survey carried out in ...2003–2004. A fully structured diagnostic interview, the World Health Organization Composite International Diagnostic Interview (CIDI 3.0), was used. There were 12 992 completed interviews from participants aged 16 years and over. The overall response rate was 73.3%. In this paper, the outcomes reported are lifetime prevalence and projected lifetime risk at age 75 years.
Results: The lifetime prevalence of any disorder was 39.5%. The lifetime prevalences for disorder groups were: anxiety disorders, 24.9%; mood disorders, 20.2%; substance use disorders, 12.3%; and eating disorders, 1.7%. The prevalences for all disorders were higher in the younger age groups. Females had higher prevalences of anxiety, mood and eating disorders compared with males; males had higher prevalences of substance use disorders. The estimated projected lifetime risk of any disorder at age 75 years was 46.6% with the median age of onset being 18 years. Adjustment for age, sex, education and household income did not remove all differences between Māori and the composite other ethnic group in the risk of disorder (hazard ratio = 1.1–1.4). After adjustment, hazard ratios for Pacific people ranged from 0.8 to 2.5.
Conclusions: These results confirm those of other studies: mental disorders are relatively common and tend to have early onset. Females are more likely to experience anxiety, mood and eating disorders than males, who experience more substance use disorders. Adjustment for socioeconomic factors and demography does not explain all ethnic differences, although remaining differences are small relative to cohort and even sex differences.
Objective: The aim of the present study was to compare two versions of the Kessler 10-item scale (K10), as measures of population mental health status in New Zealand.
Method: A nationwide household ...survey of residents aged ≥16 years was carried out between 2003 and 2004. The World Mental Health Composite International Diagnostic Interview (CIDI 3.0) was used to obtain DSM-IV diagnoses. Serious mental illness (SMI) was defined as for the World Mental Health Surveys Initiative and the USA National Comorbidity Survey Replication. Participants were randomly assigned to receive the ‘past month’ K10 or the ‘worst month in the past 12 months’ K10. There were 12 992 completed interviews; 7435 included the K10. The overall response rate was 73.3%. Receiver operator characteristic (ROC) curves were used to examine the ability of both K10 versions to discriminate between CIDI 3.0 cases and non-cases, and to predict SMI.
Results: Scores on both versions of the K10 were higher for female subjects, younger people, people with fewer educational qualifications, people with lower household income and people resident in more socioeconomically deprived areas. Both versions of the K10 were effective in discriminating between CIDI 3.0 cases and non-cases for anxiety disorder, mood disorders and any study disorder. The worst month in the past 12 months K10 is a more effective predictor than the past 1 month K10 of SMI (area under the curve: 0.89 vs 0.80).
Conclusions: Either version of the K10 could be used in repeated health surveys to monitor the mental health status of the New Zealand population and to derive proxy prevalence estimates for SMI. The worst month in the past 12 months K10 may be the preferred version in such surveys, because it is a better predictor of SMI than the past month K10 and also has a more logical relationship to 12 month disorder and 12 month service use.
Objective: To estimate the 12 month prevalence of DSM‐IV disorders in New Zealand, and associated interference with life and severity.
Method: A nationally representative face‐to‐face household ...survey carried out in 2003–2004. A fully structured diagnostic interview, the World Health Organization World Mental Health Survey Initiative version of the Composite International Diagnostic Interview (CIDI 3.0) was used. There were 12 992 completed interviews from participants aged 16 years and over. The overall response rate was 73.3%. In this paper the outcomes reported are 12 month prevalence, interference with life and severity for individual disorders.
Results: The prevalence of any disorder in the past 12 months was 20.7%. The prevalences for disorder groups were: anxiety disorders 14.8%, mood disorders 7.9%, substance use disorders 3.5%, eating disorders 0.5%. The highest prevalences for individual disorders were for specific phobia (7.3%), major depressive disorder (5.7%) and social phobia (5.1%). Interference with life was higher for mood disorders than for anxiety disorders. Drug dependence, bipolar disorder and dysthymia had the highest proportion of severe cases (over 50%), when severity was assessed over the disorder itself and all comorbid disorders. Overall, only 31.7% of cases were classified as mild with 45.6% moderate and 22.7% serious.
Conclusions: Compared with other World Mental Health survey sites New Zealand has relatively high prevalences, although almost always a little lower than for the US. For all disorders, except specific phobia, interference with life was reported to be moderate, on average, which has lead to less than a third of cases being classified as mild. Most people who have ever met full DSM‐IV criteria, including the impairment criterion, and who experience symptoms or an episode in the past 12 months find that their disorders impact on their lives to a non‐trivial extent.
Objective: To estimate the prevalence and severity of anxiety, mood, substance and eating disorders in New Zealand, and associated disability and treatment.
Method: A nationwide face‐to‐face ...household survey of residents aged 16 years and over was undertaken between 2003 and 2004. Lay interviewers administered a computerized fully structured diagnostic interview, the World Health Organization World Mental Health Survey Initiative version of the Composite International Diagnostic Interview. Oversampling doubled the number of Māori and quadrupled the number of Pacific people. The outcomes reported are demographics, period prevalences, 12 month severity and correlates of disorder, and contact with the health sector, within the past 12 months.
Results: The response rate was 73.3%. There were 12 992 participants (2595 Māori and 2236 Pacific people). Period prevalences were as follows: 39.5% had met criteria for a DSM‐IV mental disorder at any time in their life before interview, 20.7% had experienced disorder within the past 12 months and 11.6% within the past month. In the past 12 months, 4.7% of the population experienced serious disorder, 9.4% moderate disorder and 6.6% mild disorder. A visit for mental health problems was made to the health‐care sector in the past 12 months by 58.0% of those with serious disorder, 36.5% with moderate disorder, 18.5% with mild disorder and 5.7% of those not diagnosed with a disorder. The prevalence of disorder and of serious disorder was higher for younger people and people with less education or lower household income. In contrast, these correlates had little relationship to treatment contact, after adjustment for severity. Compared with the composite Others group, Māori and Pacific people had higher prevalences of disorder, unadjusted for sociodemographic correlates, and were less likely to make treatment contact, in relation to need.
Conclusions: Mental disorder is common in New Zealand. Many people with current disorder are not receiving treatment, even among those with serious disorder.
Objective: To estimate the 12 month prevalence of DSM-IV disorders in New Zealand, and associated interference with life and severity.
Method: A nationally representative face-to-face household ...survey carried out in 2003–2004. A fully structured diagnostic interview, the World Health Organization World Mental Health Survey Initiative version of the Composite International Diagnostic Interview (CIDI 3.0) was used. There were 12 992 completed interviews from participants aged 16 years and over. The overall response rate was 73.3%. In this paper the outcomes reported are 12 month prevalence, interference with life and severity for individual disorders.
Results: The prevalence of any disorder in the past 12 months was 20.7%. The prevalences for disorder groups were: anxiety disorders 14.8%, mood disorders 7.9%, substance use disorders 3.5%, eating disorders 0.5%. The highest prevalences for individual disorders were for specific phobia (7.3%), major depressive disorder (5.7%) and social phobia (5.1%). Interference with life was higher for mood disorders than for anxiety disorders. Drug dependence, bipolar disorder and dysthymia had the highest proportion of severe cases (over 50%), when severity was assessed over the disorder itself and all comorbid disorders. Overall, only 31.7% of cases were classified as mild with 45.6% moderate and 22.7% serious.
Conclusions: Compared with other World Mental Health survey sites New Zealand has relatively high prevalences, although almost always a little lower than for the US. For all disorders, except specific phobia, interference with life was reported to be moderate, on average, which has lead to less than a third of cases being classified as mild. Most people who have ever met full DSM-IV criteria, including the impairment criterion, and who experience symptoms or an episode in the past 12 months find that their disorders impact on their lives to a non-trivial extent.
Recombination varies greatly among species, as illustrated by the poor conservation of the recombination landscape between humans and chimpanzees. Thus, shorter evolutionary time frames are needed to ...understand the evolution of recombination. Here, we analyze its recent evolution in humans. We calculated the recombination rates between adjacent pairs of 636,933 common single-nucleotide polymorphism loci in 28 worldwide human populations and analyzed them in relation to genetic distances between populations. We found a strong and highly significant correlation between similarity in the recombination rates corrected for effective population size and genetic differentiation between populations. This correlation is observed at the genome-wide level, but also for each chromosome and when genetic distances and recombination similarities are calculated independently from different parts of the genome. Moreover, and more relevant, this relationship is robustly maintained when considering presence/absence of recombination hotspots. Simulations show that this correlation cannot be explained by biases in the inference of recombination rates caused by haplotype sharing among similar populations. This result indicates a rapid pace of evolution of recombination, within the time span of differentiation of modern humans.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
PDF
