Influencing factors and population attributable risk percent of low back pain in automobile assemblers / 中国职业医学

Objective: To investigate the influencing factors and population attributable risk percent (PAR%) of low back pain in automobile assemblers. Methods: A total of 634 assemblers from 11 automobile manufacturers in Shiyan City, Hubei Province were chosen as research subjects using judgment sampling method. The prevalence of low back pain in the past one year was investigated using Musculoskeletal Disorders Questionnaire. PAR% was used to analyze the contribution of influencing factors to low back pain. Results: The annual prevalence of low back pain was 68.8%. The results of multivariate logistics regression showed that length of service>15 years, high school or secondary college education or above, standing most of the time, sitting most of the time, the proportion of cumulative time of poor posture in work shift time ≥1/8, and bending for insufficient height of working space were the risk factors for low back pain (all P<0.05). The PAR% of the proportion of cumulative time of poor posture in work shift time ≥1/8 was 43.0%, 37.8% for standing most of the time, and 12.8% for bending for insufficient height of working space. Conclusion: The annual prevalence of low back pain was higher in automobile assemblers. The influencing factors included individual factors and occupational factors. The proportion of cumulative time of poor posture in work shift time ≥1/8, standing most of the time and bending for insufficient height of working space should be taken as the priority intervention factors to reduce the prevalence of low back pain among assemblers in this enterprise.

Reducing Birth Defects by Decreasing the Prevalence of Maternal Chronic Diseases-Evaluated by Linked National Registration Dataset.

Birth defects (BDs) are an important cause of abortion, stillbirth, and infant mortality that may cause lifelong disability. The defects can be caused by genetics, environmental exposure, or maternal chronic diseases. We conducted a study to analyze the association between maternal chronic diseases and BDs and to evaluate the effect of decreasing the prevalence of maternal chronic diseases on reducing BDs. The data of newborns and their mothers were concatenated and analyzed from three national population databases: the National Health Insurance Research Database, the Birth Certificate Application, and the Birth Registration Database in Taiwan during the period of 2005 to 2014. Codes 740-759 of the International Classification of Diseases 9th Revision­Clinical Modification (ICD-9-CM) were used as the diagnosis of BDs. The prevalence of BDs was 2.72%. Mothers with cardiovascular diseases, hypertension, anemia, genitourinary tract infections, renal diseases, neurotic or psychotic disorders, gestational diabetes mellitus (DM), and pregestational type 1 or type 2 DM had a significantly higher prevalence of BDs. The population attributable risk percent (PAR%) of BDs was 1.63%, 0.55%, 0.18%, 1.06%, 0.45%, 0.22%, 0.48%, and 0.24% for maternal hypertension, cardiovascular disease, renal disease, genitourinary infection, anemia, neurotic and psychotic disorders, gestational DM, and pregestational type 1 or type 2 DM, respectively. The percentage change (−1%, −5%, and −10% of prevalence in 2034 compared with the prevalence in 2005−2014) of maternal disease and the predicted number of live births was used to estimate the decrease in the number of newly diagnosed BDs in 2034. By using the middle-estimated number of live births in 2034, we predicted that the number of BDs would decrease by 302, 102, 33, 196, 83, 41, 89, and 44 with a −5% prevalence of maternal hypertension, cardiovascular disease, renal disease, genitourinary infection, anemia, neurotic and psychotic disorders, gestational DM, and pregestational type 1 or type 2 DM, respectively. We conclude that mothers with chronic diseases, including cardiovascular diseases, hypertension, anemia, genitourinary tract infections, renal diseases, neurotic or psychotic disorders, gestational DM, and pregestational type 1 or type 2 DM, have a significantly higher (p < 0.01) prevalence of having offspring with BDs. Mothers with chronic diseases are associated with BDs. It is very important to set up a policy to decrease the prevalence of these maternal chronic diseases; then, we can reduce the incidence of BDs.

Associations Between Sleep Quality and Health Span: A Prospective Cohort Study Based on 328,850 UK Biobank Participants.

OBJECTIVE: To examine the associations between sleep quality and health span using a prospective cohort design based on the UK Biobank (UKB). MATERIALS AND METHODS: This longitudinal cohort study enrolled 328,850 participants aged between 37 and 73 years from UKB to examine the associations between sleep quality and risk of terminated health span. End of health span was defined by eight events strongly associated with longevity (cancer, death, congestive heart failure, myocardial infarction, chronic obstructive pulmonary disease, stroke, dementia, and diabetes), and a sleep score was generated according to five sleep behavioral factors (sleep duration, chronotype, sleeplessness, daytime sleepiness, and snoring) to characterize sleep quality. The hazard ratio (HR) and 95% confidence intervals (CIs) were calculated by multivariate-adjusted Cox proportional hazards model. Moreover, we calculated population attributable risk percentage (PAR%) to reflect the public health significance of healthy sleep quality. RESULTS: Compared with poor sleep quality, participants with healthy sleep quality had a 15% (HR: 0.85, 95% CI: 0.81-0.88) reduced risk of terminated health span, and those of less-healthy sleep quality had a 12% (HR: 0.88, 95% CI: 0.85-0.92) reduced risk. Linear trend results indicated that the risk of terminated health span decreased by 4% for every additional sleep score. Nearly 15% health span termination events in this cohort would have been prevented if a healthy sleep behavior pattern was adhered to (PAR%: 15.30, 95% CI: 12.58-17.93). CONCLUSION: Healthy sleep quality was associated with a reduced risk of premature end of health span, suggesting healthy sleep behavior may extend health span. However, further studies are suggested for confirmation of causality and potential mechanism.

Impact of pre-pregnancy diabetes mellitus on congenital anomalies, Canada, 2002-2012.

OBJECTIVE: To examine the impact of pre-pregnancy diabetes mellitus (DM) on the population birth prevalence of congenital anomalies in Canada. METHODS: We carried out a population-based study of all women who delivered in Canadian hospitals (except those in the province of Quebec) between April 2002 and March 2013 and their live-born infants with a birth weight of 500 grams or more and/or a gestational age of 22 weeks or more. Pre-pregnancy type 1 or type 2 DM was identified using ICD-10 diagnostic codes. The association between DM and all congenital anomalies as well as specific congenital anomaly categories was estimated using adjusted odds ratios; the impact was calculated as a population attributable risk percent (PAR%). RESULTS: There were 118,892 infants with a congenital anomaly among 2,839,680 live births (41.9 per 1000). While the prevalence of any congenital anomaly declined from 50.7 per 1000 live births in 2002/03 to 41.5 per 1000 in 2012/13, the corresponding PAR% for a congenital anomaly related to pre-pregnancy DM rose from 0.6% (95% confidence interval [CI]: 0.4-0.8) to 1.2% (95% CI: 0.9-1.4). Specifically, the PAR% for congenital cardiovascular defects increased from 2.3% (95% CI: 1.7-2.9) to 4.2% (95% CI: 3.5-4.9) and for gastrointestinal defects from 0.8% (95% CI: 0.2-1.9) to 1.4% (95% CI: 0.7-2.6) over the study period. CONCLUSION: Although there has been a relative decline in the prevalence of congenital anomalies in Canada, the proportion of congenital anomalies due to maternal pre-pregnancy DM has increased. Enhancement of preconception care initiatives for women with DM is recommended.

TITRE: Influence du diabète antérieur à la grossesse sur les anomalies congénitales au Canada entre 2002 et 2012. OBJECTIF: Examiner l'influence du diabète antérieur à la grossesse sur la prévalence à la naissance des anomalies congénitales au Canada. MÉTHODOLOGIE: Nous avons réalisé une étude en population chez l'ensemble des femmes ayant accouché à l'hôpital au Canada (hors Québec) entre avril 2002 et mars 2013, ainsi que chez leurs enfants nés vivants ayant un poids à la naissance d'au moins 500 grammes ou un âge gestationnel d'au moins 22 semaines. On a attribué les codes de diagnostic de la CIM-10 au diabète de type 1 ou de type 2 antérieur à la grossesse. L'association entre le diabète et l'ensemble des anomalies congénitales ainsi qu'avec les diverses catégories prises séparément a été estimée à l'aide des rapports de cotes ajustés et son influence a été calculée sous forme de pourcentage de risque attribuable dans la population (%RAP). RÉSULTATS: Sur les 2 839 680 naissances vivantes, 118 892 nouveau-nés étaient atteints d'anomalies congénitales (41,9 pour 1 000). Même si la prévalence des anomalies congénitales est passée de 50,7 pour 1 000 naissances vivantes en 2002­2003 à 41,5 pour 1 000 en 2012­2013, le %RAP d'une anomalie congénitale liée au diabète antérieur à la grossesse est passé de 0,6 % (intervalle de confiance [IC] à 95 % : 0,4 à 0,8) à 1,2 % (IC à 95 % : 0,9 à 1,4). Plus précisément, le %RAP des cardiopathies congénitales est passé de 2,3 % (IC à 95 % : 1,7 à 2,9) à 4,2 % (IC à 95 % : 3,5 à 4,9) et celui des anomalies gastrointestinales de 0,8 % (IC à 95 % : 0,2 à 1,9) à 1,4 % (IC à 95 % : 0,7 à 2,6) au cours de la période étudiée. CONCLUSION: En dépit de la diminution relative de la prévalence des anomalies congénitales au Canada, la proportion d'anomalies congénitales pouvant être attribuées au diabète maternel antérieur à la grossesse a augmenté. On recommande l'amélioration des initiatives en matière de soins préconceptionnels destinées aux femmes diabétiques.

Prevalence and risk factors for refractive errors in the South Indian adult population: The Andhra Pradesh Eye disease study.

AIM: To report the prevalence, risk factors and associated population attributable risk percentage (PAR) for refractive errors in the South Indian adult population. METHODS: A population-based cross-sectional epidemiologic study was conducted in the Indian state of Andhra Pradesh. A multistage cluster, systematic, stratified random sampling method was used to obtain participants (n = 10293) for this study. RESULTS: The age-gender-area-adjusted prevalence rates in those >/=40 years of age were determined for myopia (spherical equivalent [SE] < -0.5 D) 34.6% (95% confidence interval [CI]: 33.1-36.1), high-myopia (SE < -5.0 D) 4.5% (95% CI: 3.8-5.2), hyperopia (SE > +0.5 D) 18.4% (95% CI: 17.1-19.7), astigmatism (cylinder < -0.5 D) 37.6% (95% CI: 36-39.2), and anisometropia (SE difference between right and left eyes >0.5 D) 13.0% (95% CI: 11.9-14.1). The prevalence of myopia, astigmatism, high-myopia, and anisometropia significantly increased with increasing age (all p < 0.0001). There was no gender difference in prevalence rates in any type of refractive error, though women had a significantly higher rate of hyperopia than men (p < 0.0001). Hyperopia was significantly higher among those with a higher educational level (odds ratio [OR] 2.49; 95% CI: 1.51-3.95) and significantly higher among the hypertensive group (OR 1.24; 95% CI: 1.03-1.49). The severity of lens nuclear opacity was positively associated with myopia and negatively associated with hyperopia. CONCLUSIONS: The prevalence of myopia in this adult Indian population is much higher than in similarly aged white populations. These results confirm the previously reported association between myopia, hyperopia, and nuclear opacity.

Risk factors for diabetic retinopathy: Findings from The Andhra Pradesh Eye Disease Study.

OBJECTIVE: To assess prevalence, potential risk factors and population attributable risk percentage (PAR%) for diabetic retinopathy (DR) in the Indian state of Andhra Pradesh. METHODS: A population-based study, using a stratified, random, cluster, systematic sampling strategy, was conducted in the state of Andhra Pradesh in India during 1996 and 2000. Participants from 94 clusters in one urban and three rural areas representative of the population of Andhra Pradesh, underwent a detailed interview and a comprehensive dilated ocular evaluation by trained professionals. DR was defined according to the international classification and grading system. For subjects more than or equal to 30 years of age, we explored associations of DR with potential risk factors using bivariable and multivariable analyses. Population attributable risk percent was calculated using Levin's formula. RESULTS: Diabetic retinopathy was present in 39 of 5586 subjects, an age-gender-area-adjusted prevalence of 0.72% (95% confidence interval (CI): 0.49%-0.93%) among subjects aged >/= 30 years old, and 0.27% (95% CI: 0.17%-0.37%) for all ages. Most of the DR was either mild (51.3%) or moderate (35.9%) non-proliferative type; one subject (2.6%) had proliferative retinopathy. Multivariable analysis showed that increasing age, adjusted odds ratio (OR); 4.04 (95% CI: 1.88-8.68), middle and upper socioeconomic status group (OR); 2.34 (95% CI: 1.16-4.73), hypertension (OR); 3.48 (95% CI: 1.50-8.11) and duration of diabetes >/= 15 years (OR); 8.62 (95% CI: 2.63-28.29) were significantly associated with increasing risk of DR. The PAR % for hypertension was 50%; it was 10% for cigarette smokers. CONCLUSIONS: Extrapolating the prevalence of diabetic retinopathy in our sample to the Indian population suggests that there may be an estimated 2.77 million people with DR, approximately 0.07 million people with severe DR. As the population demographics change towards aging, this number is likely to increase further. Health care programs in India need to examine strategies to prevent diabetes and DR, as well as create the infrastructure required to manage this condition.