Across our combined largest samples (GBSS, GBSS+, TV), women were slightly younger than men (38.5 (14.9) vs 40.1 (14.7) years; t(27 638)=7.94, p<0.0001) and the great majority was in average or better physical health (86%) and mental health (82%; 5-point scale: 0 ‘very good’, 1 ‘good’, 2 ‘average’, 3 ‘poor’ and 4 ‘very poor’). Respondents who made some use of prescription sleeping pills (9.1%) were 7 years older than those who did not (46.2 (15.1) vs 39.1 (15.1) year, t(20 813)=19.6, p<.0001) and had a substantially poorer SCI score (8.56 (4.93) vs 15.6 (7.80), t(20 813)=38.8, p<0.0001). Of the total sample, 18.1% took over-the-counter sleep aids (OTCs), and more than one-third of those taking sleeping pills also used OTCs.
Sleeping Pills
These pharmaceuticals work by altering the brain's chemistry to induce a state of relaxation and drowsiness, allowing for more restful and uninterrupted sleep.
Sleeping pills come in various forms, including tablets, capsules, and liquids, and can be obtained both over-the-counter and by prescription.
They are commonly used to treat insomnia, sleep disorders, and other conditions that interfere with healthy sleep patterns.
When used as directed, sleeping pills can be an effective short-term solution for sleep-related issues.
However, it's important to consult with a healthcare professional to ensure the appropriate use and to avoid potential side effects or dependency.
Discover the power of PubCompare.ai for optimzed sleeping pill research and unlock the secrets to better sleep!
Most cited protocols related to «Sleeping Pills»
Across our combined largest samples (GBSS, GBSS+, TV), women were slightly younger than men (38.5 (14.9) vs 40.1 (14.7) years; t(27 638)=7.94, p<0.0001) and the great majority was in average or better physical health (86%) and mental health (82%; 5-point scale: 0 ‘very good’, 1 ‘good’, 2 ‘average’, 3 ‘poor’ and 4 ‘very poor’). Respondents who made some use of prescription sleeping pills (9.1%) were 7 years older than those who did not (46.2 (15.1) vs 39.1 (15.1) year, t(20 813)=19.6, p<.0001) and had a substantially poorer SCI score (8.56 (4.93) vs 15.6 (7.80), t(20 813)=38.8, p<0.0001). Of the total sample, 18.1% took over-the-counter sleep aids (OTCs), and more than one-third of those taking sleeping pills also used OTCs.
Reliability was assessed using a test-retest design. Test-retest reliability analyses were performed to evaluate consistency of the data reported. For these analyses a subsample was invited to fill out the TiC-P again (retest) two weeks after submission of the original measurement. A cover letter explained the purpose of the retest and we offered a gift voucher of €10 if the retest questionnaire would be returned. Consistency of categorical (yes/no) variables was assessed with percentages of absolute agreements indicating the proportion of cases with the same value on the test and retest questionnaire. To adjust for the fact that a number of these agreements may arise by chance alone, chance-corrected agreements were assessed using Cohen’s kappa coefficients (κ values). The following values were attached to the coefficients: modest (0.21-0.40); moderate (0.41-0.60); satisfactory (0.61-0.80) and almost perfect (0.81-1.00)
[20 ]. Consistency of data on interval level was evaluated by computing intra class correlation coefficients (ICC) (two-way mixed models; absolute agreement).
The construct validity of the TiC-P was evaluated by assessing the agreement with reported and registered data for the items ‘contacts with a psychotherapist’ and ‘long-term absence from work’ including the percentage absolute agreement, absolute differences between reported data en registered data and Spearman rank correlation coefficient (rho). Reported data on contacts with therapists were compared with registration data of the therapists. Additionally, reported data on long-term absence from work was compared to registration data from the occupational health service. As registration data on absence from work of the Monitoring study were not accessible, the latter were derived from the Collaborative Care Study
[19 (link)]. All statistical analyses were performed in SPSS (V. 17.0; Chicago, IL). Significance was set at a p-value of 0.050.
We obtained data on comorbidity and hospital admission for four years before baseline from the National Patient Register for inpatient and outpatient care, which covers more than 99% of all admissions in the study period and about 80% of all hospital based outpatient care since 2001 in Sweden.18 Definitions of the comorbid diagnoses have been published elsewhere.17 (link)
Data on all dispensed prescriptions during outpatient care after 1 July 2005 were obtained from the Swedish Prescribed Drug Register.19 (link) Drugs were categorised according to the Anatomical Therapeutic Chemical Classification System (ATC codes)20 as antidepressants (N06A), benzodiazepines (N05BA), weak opioids (N02AA59, N02AX02), strong opioids (N02A except weak), and sleeping pills (N05C), and as previously described.17 (link) Vital status was obtained from the Swedish Causes of Death Register.
Most recents protocols related to «Sleeping Pills»
The study inclusion criteria were singleton pregnancy, no systemic diseases such as lupus and diabetes mellitus, no pregnancy complications like diabetes, pre-eclampsia, etc., no previous history of psychological problems, Iranian nationality, no use of antidepressants, hormonal contraceptive pills, or sleeping pills within 2 weeks prior to venous blood sampling, good marital relationship with the spouse, no expressed significant economic problems, and no family history of depression or other mental illnesses. The study exclusion criteria were experiencing stressful conditions or using alcohol within 12 h before sampling, insufficient sleep and heavy physical activity the night before sampling, abnormal blood pressure during sampling or at postpartum period, instrumental vaginal delivery, congenital malformations of the newborn, and complications during childbirth (vaginal delivery or cesarean section) leading to treatments such as blood transfusion, resuscitation, hospitalization in the ICU or CCU, or transfer to the operating room. The mothers were controlled according to the routine prenatal care program until delivery. All participants (n = 303) were once again assessed with the Edinburgh Questionnaire during 6 to 8 weeks after delivery, and if they received a score of 13 or higher, they were referred to a psychiatrist to confirm their depression. Thirty-one of them scored 13 or more; of which, PPD of 29 subjects was confirmed by the psychiatrist. Sixteen non-depressed and five depressed subjects did not meet one of the inclusion criteria or were excluded from the study. Finally, the number of subjects in the depressed and non-depressed groups were 24 and 66, respectively.
Methods of data collection included observation, examination (weight, height, BMI, and other criteria in prenatal care forms such as blood pressure, fetal heart rate, fundal height, and warning signs during pregnancy), and patient interview. Gestational age was calculated from the first day of the last menstrual period (LMP), or the first trimester ultrasound (if uncertain about LMP). Weight, blood pressure, and heart rate of the fetus were measured by the same person using a digital scale, digital barometer, and fetal heart detector (Sonicaid), respectively.
Sociodemographic: questions related to age, gender and region of Brazil in which they resided;
Mental health: the DSM-5 Level 1 Cross-sectional Symptom Scale [24 ] was used, adapted to assess only questions from the psychiatric domains related to anxiety, anger, depression, sleep disorders and substance use (considering only the medication use). In the question regarding the use of medications, the use of any of the following medications on their own was considered; that is, without a medical prescription, in larger amounts or for a longer period than prescribed (e.g., analgesics (such as paracetamol, codeine), high-stimulants (such as methylphenidate or amphetamines), sedatives or tranquilizers (such as sleeping pills or diazepam) or drugs such as marijuana, cocaine or crack, synthetic drugs (such as ecstasy), hallucinogens (such as LSD), heroin, inhalants or solvents (such as cola) or methamphetamine (or other stimulants)). The scale score ranged from zero to four, with zero corresponding to mild and four corresponding to severe;
Physical activity: questions regarding the practice of physical activity assessed the occurrence of physical activity before and during social isolation.
Clinical tests were carried out to determine organic diseases. Mild hypertension (29/80–29.8%), stable coronary disease (15/80–18.7%), type 2 diabetes (19/80–23.75%), Hashimoto disease (11/80–13.25%), and gastrointestinal disorders (36–5.0%) were detected in some individuals. Exclusion criteria were very severe depression, circulatory or respiratory failure, advanced diabetes, liver diseases, renal failure, inflammatory bowel diseases, cancer, and taking psychotropic drugs or sleeping pills.
Before administering the instruments and to appropriately access the sample, the head of the educational center was provided with two files: (a) information on the study the students would be provided with, and (b) informed consent. The head gave the students these files to be reviewed and signed by their parents or legal tutors. The file containing information on the study described what participation in the study consisted of, and the fact that the study did not lead to undesirable side effects for participants’ health. The informed consent explained, among other issues, the explicit right of every participant to drop out of the study and pertinent confidentiality and data protection guarantee in accordance with the current national and European regulations. It was an essential requirement for those students who had agreed to be evaluated in this research to deliver the informed consent signed by the person in charge.
Beyond the fulfillment and the signature of the informed consent, the students also had to meet the following conditions to take part in the study: being enrolled in compulsory secondary education; not presenting diagnosed psychological disorders; and not being under medication with effects on sleep. To recruit participants, the teachers discussed the choice of participating in their classes. The rejection rate was around 5%. Nine students were ruled out because they were taking sleeping pills and, as mentioned earlier, 52 student records had to be deleted due to missing information. For the completion of the assessment instruments, all the students received the same initial general information and had maximum time for doing it. Emerging doubts were resolved during the performance of the tasks which were conducted in four sessions in groups of 15 students, approximately.
Top products related to «Sleeping Pills»
More about "Sleeping Pills"
Sleeping pills are a class of medications designed to help individuals fall asleep and stay asleep.
These pharmaceuticals, also known as hypnotics, work by altering the brain's chemistry to induce a state of relaxation and drowsiness, allowing for more restful and uninterrupted sleep.
Sleeping pills come in various forms, including tablets, capsules, and liquids, and can be obtained both over-the-counter and by prescription.
They are commonly used to treat insomnia, sleep disorders, and other conditions that interfere with healthy sleep patterns.
When used as directed, sleeping pills can be an effective short-term solution for sleep-related issues.
However, it's important to consult with a healthcare professional to ensure the appropriate use and to avoid potential side effects or dependency.
Discover the power of PubCompare.ai for optimzed sleeping pill research and unlock the secrets to better sleep! Our AI-driven platform helps you locate the best protocols from literature, pre-prints, and patents with ease.
Compare products and identify the optimal solutions for your needs.
Get started today and unlock the secrets to better sleep!