Abstract:Introduction: Smoking prevalence among the medical students is high in China. Therefore, understanding the smoking motivations of medical students is crucial for smoking control, but currently there are no scales questionnaires customized for probing the smoking motivations of medical students. This aim of study was to test and modify a questionnaire for investigating smoking motivations among medical students. Methods: A cross-sectional survey was conducted among 1,125 medical students at Xuzhou Medical Colle… Show more
“…Of these studies, 33 studies used duplicated data; 79 did not specify definitions/measures of smoking behaviors; 26 did not provide data on current smoking; 1 was not conducted in mainland China; and 10 used an irrelevant study design. After removal of these studies, a total of 79 studies published between 1990 and 2016 were included in this systematic review; 74 of these publications were in Chinese and 5 in English 11,26-29 (Figure 1).…”
Section: Resultsmentioning
confidence: 99%
“…Eighteen studies (22.7%) were conducted in 1988 to 1999, 11,26,30-45 14 (17.7%) in 2000 to 2009, 14,46-58 and 11 (13.9%) in 2010 to 2014. 28,29,59-67 By region, 33 studies (41.8%) were conducted in the east of China,* 14 (17.7%) in the central region, † 13 (16.5%) in the west, ‡ and 2 in multiple regions. 29,96 The samples of most studies included both female and male subjects (n = 65), among which males were ⩾50% of the sample in 42 studies (53.2%), and 7 (8.9%) did not specify the gender distribution § ; 12 studies included only male medical students ‖ and 1 study included only females.…”
Section: Resultsmentioning
confidence: 99%
“…Moreover, 36 studies (45.5%) did not specify the study date and 17 (21.5%) did not specify the study site, while 31 studies (39.2%) used convenience or nonrandom sampling and the methods of data collection were unreported or unclear in 14 studies (17.7%). ¶28,37,38,41,42,46,49,68,69,71,85,97,99,100 Sample sizes ranged from 59 97 to 7135, 96 and 42 studies (53.2%) had a sample size larger than 700. Responses rates ranged from 79.2% to 100%, while 15 (19.0%) did not specify the response rates.…”
This study aimed to estimate the prevalence of current smoking among medical
students in mainland China through a systematic search across 6 electronic
databases for English or Chinese studies published before May 25, 2018. A total
of 79 studies were included; 26 had a high risk of bias. The overall pooled
prevalence of current smoking was 10.93% (7460/68 253; 95% confidence interval =
0.09%, 13.08%, I2 = 98.6%). This study found a
decreasing prevalence of current smoking over the period studied (survey year
range of 1988-2014). More specifically, the current smoking prevalence in males
decreased progressively across time, while the prevalence in females remained
relatively constant. The overall prevalence in the west was higher than in the
middle or east of mainland China (P = .0061). The overall
prevalence of current smoking increased with year in school (P
= .0028). The present study provides a comprehensive synthesis of current
smoking prevalence among medical students in mainland China. Although there have
been some improvements in the status of tobacco use among medical students,
given the leading role of physicians in tobacco control, sustained efforts are
needed to curb the tobacco epidemic among medical students.
“…Of these studies, 33 studies used duplicated data; 79 did not specify definitions/measures of smoking behaviors; 26 did not provide data on current smoking; 1 was not conducted in mainland China; and 10 used an irrelevant study design. After removal of these studies, a total of 79 studies published between 1990 and 2016 were included in this systematic review; 74 of these publications were in Chinese and 5 in English 11,26-29 (Figure 1).…”
Section: Resultsmentioning
confidence: 99%
“…Eighteen studies (22.7%) were conducted in 1988 to 1999, 11,26,30-45 14 (17.7%) in 2000 to 2009, 14,46-58 and 11 (13.9%) in 2010 to 2014. 28,29,59-67 By region, 33 studies (41.8%) were conducted in the east of China,* 14 (17.7%) in the central region, † 13 (16.5%) in the west, ‡ and 2 in multiple regions. 29,96 The samples of most studies included both female and male subjects (n = 65), among which males were ⩾50% of the sample in 42 studies (53.2%), and 7 (8.9%) did not specify the gender distribution § ; 12 studies included only male medical students ‖ and 1 study included only females.…”
Section: Resultsmentioning
confidence: 99%
“…Moreover, 36 studies (45.5%) did not specify the study date and 17 (21.5%) did not specify the study site, while 31 studies (39.2%) used convenience or nonrandom sampling and the methods of data collection were unreported or unclear in 14 studies (17.7%). ¶28,37,38,41,42,46,49,68,69,71,85,97,99,100 Sample sizes ranged from 59 97 to 7135, 96 and 42 studies (53.2%) had a sample size larger than 700. Responses rates ranged from 79.2% to 100%, while 15 (19.0%) did not specify the response rates.…”
This study aimed to estimate the prevalence of current smoking among medical
students in mainland China through a systematic search across 6 electronic
databases for English or Chinese studies published before May 25, 2018. A total
of 79 studies were included; 26 had a high risk of bias. The overall pooled
prevalence of current smoking was 10.93% (7460/68 253; 95% confidence interval =
0.09%, 13.08%, I2 = 98.6%). This study found a
decreasing prevalence of current smoking over the period studied (survey year
range of 1988-2014). More specifically, the current smoking prevalence in males
decreased progressively across time, while the prevalence in females remained
relatively constant. The overall prevalence in the west was higher than in the
middle or east of mainland China (P = .0061). The overall
prevalence of current smoking increased with year in school (P
= .0028). The present study provides a comprehensive synthesis of current
smoking prevalence among medical students in mainland China. Although there have
been some improvements in the status of tobacco use among medical students,
given the leading role of physicians in tobacco control, sustained efforts are
needed to curb the tobacco epidemic among medical students.
“…AVE measures the average amount of variance captured by a construct in contrast to variance from measurement error. The AVE for each construct can be obtained by summing the squares of completely standardized factor loadings and dividing by this sum plus the total error variance for indicators (Carter, 2016; Jiang et al, 2014). The AVE and CR of the three Chinese-version FATCOD loading factors are (a) respecting and caring for dying patients and families (AVE = .53, CR = .92), (b) avoiding care of the dying (AVE = .46, CR = .91), and (c) involving patients and families in EOL care (AVE = .33, CR = .74).…”
The study purpose was to examine the validities and reliabilities of the Chinese-versions Frommelt Attitudes Toward Care of the Dying Scale (Attitudes Scale) and Caregiving Behaviors Scale for End-of-Life Patients and Families (Behaviors Scale). The scales were tested in a convenience sample of 318 nurses with ≥6 months work experience at three hospitals. Cronbach's alphas of the Attitudes and Behaviors Scales were .90 and .96, respectively. Each scale had Kaiser-Meyer-Olkin index >.85 and Bartlett's test of sphericity >4000 ( p < .001). Attitudes Scale loaded on three factors: respecting and caring for dying patients and families, avoiding care of the dying, and involving patients and families in end-of-life care. The Behaviors Scale loaded on two factors: supporting dying patients and families, and helping families cope with grief. Factor loadings for both scales were ≥.49. Both Attitudes and Behaviors Scales are reliable and valid for evaluating nurses' attitudes and caregiving behaviors for the dying.
This study aimed to examine whether dopamine (DA) pathway gene variation were associated with smoking cessation, and compare the relative importance of infulence factors on smoking cessation. Participants were recruited from 17 villages of Shandong Province, China. Twenty-five single nucleotide polymorphisms in 8 DA pathway genes were genotyped. Weighted gene score of each gene was used to analyze the whole gene effect. Logistic regression was used to calculate odds ratios (OR) of the total gene score for smoking cessation. Dominance analysis was employed to compare the relative importance of individual, heaviness of smoking, psychological and genetic factors on smoking cessation. 415 successful spontaneous smoking quitters served as the cases, and 404 unsuccessful quitters served as the controls. A significant negative association of total DA pathway gene score and smoking cessation was observed (p < 0.001, OR: 0.25, 95% CI 0.16-0.38). Dominance analysis showed that the most important predictor for smoking cessation was heaviness of smoking score (42%), following by individual (40%), genetic (10%) and psychological score (8%). In conclusion, although the DA pathway gene variation was significantly associated with successful smoking cessation, heaviness of smoking and individual factors had bigger effect than genetic factors on smoking cessation.
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