OBJECTIVE: To examine Muslims' (1) perceptions of fasting exemptions, (2) medication usage behaviour, (3) perceptions of relationships with healthcare providers and (4) factors impacting health management during Ramadan.
METHOD: This was a qualitative study employing four focus groups (two groups of women and two groups of men). Adult Muslims (aged 18 years or more) with chronic diseases were invited to participate. Participants were asked open-ended questions about their fasting ability, medication usage behaviours, healthcare access and collaboration with providers during Ramadan. Trained researchers conducted the focus groups interviews in both English and Arabic. Each focus group was recorded, and three investigators independently transcribed the data and extracted themes and categories. Coding terminology issues were resolved through discussion.
RESULTS: Twenty-five Muslims with chronic diseases (e.g., diabetes, hypertension, renal failure and anaemia) participated. The most prominent themes/subthemes were as follows: (1) fasting exemption (e.g., uncontrolled medical conditions), (2) fasting nonexemption (e.g., controlled medical conditions), (3) nonoral medication use during Ramadan, (4) healthcare provider involvement during Ramadan, and (5) factors impacting health management during Ramadan.
CONCLUSION: Muslim patients perceive fasting as an important religious practice, so they tend to self-modify their medication-taking behaviours. Educating pharmacists and other healthcare providers about Muslim culture, especially their strong desire to fast, may lead to Muslims better managing their medications and viewing pharmacists and other healthcare providers as knowledgeable healthcare providers.
METHODS: Systematic literature searches in accordance with PRISMA guidelines found 51 eligible studies that met inclusion criteria. Eight studies utilized both Waves 1 and 2 NESARC data, and selection of sample sizes varied from 185 to 43,093 individuals, consistent with specified research objectives of each study.
RESULTS: The prevalence of lifetime pathological gambling was 0.42% (0.64% among men, 0.23% among women), while past-year prevalence was 0.16%. Pathological gambling rates were generally higher in populations with substance-use disorders and other psychiatric diagnoses. Rates of adverse childhood experiences and suicidal attempts were higher among individuals with problem or pathological gambling. Early-onset gamblers were more likely to be male, be never married, have incomes below $70,000, belong to younger cohorts and have Cluster B personality disorders, but less likely to be diagnosed with mood disorders. While pathological gambling was related to obesity, increased stress, and poorer physical health among general age groups, recreational gambling was linked with improved physical and mental functioning in older adults.
CONCLUSIONS: The NESARC has provided important information on the correlates of pathological gambling and subdiagnostic patterns of gambling behaviors. Additional studies should examine these relationships in the current gambling environment and longitudinally with aims of implementing policies to improve the public health.
METHOD: Genome-wide association studies (GWASs) were conducted in Australian (between 1988 and 1990 and between 2010 and 2013) and Amish (between May 2010 and December 2011) samples in whom the Seasonal Pattern Assessment Questionnaire (SPAQ) had been administered, and the results were meta-analyzed in a total sample of 4,156 individuals. Genetic risk scores based on results from prior large GWAS studies of bipolar disorder, major depressive disorder (MDD), and schizophrenia were calculated to test for overlap in risk between psychiatric disorders and seasonality.
RESULTS: The most significant association was with rs11825064 (P = 1.7 × 10⁻⁶, β = 0.64, standard error = 0.13), an intergenic single nucleotide polymorphism (SNP) found on chromosome 11. The evidence for overlap in risk factors was strongest for schizophrenia and seasonality, with the schizophrenia genetic profile scores explaining 3% of the variance in log-transformed global seasonality scores. Bipolar disorder genetic profile scores were also associated with seasonality, although at much weaker levels (minimum P value = 3.4 × 10⁻³), and no evidence for overlap in risk was detected between MDD and seasonality.
CONCLUSIONS: Common SNPs of large effect most likely do not exist for seasonality in the populations examined. As expected, there were overlapping genetic risk factors for bipolar disorder (but not MDD) with seasonality. Unexpectedly, the risk for schizophrenia and seasonality had the largest overlap, an unprecedented finding that requires replication in other populations and has potential clinical implications considering overlapping cognitive deficits in seasonal affective disorders and schizophrenia.