FACTORS ASSOCIATED WITH LOWER BACK PAIN AMONG WORKERS IN A CHEMICAL FERTILIZER FACTORY

Most available data on the prevalence and characteristics of low back pain (LBP) are reported in developed countries. The aim of this study was to investigate the prevalence of LBP and potential risk factors among a group of workers in Malaysia. A cross-sectional study was conducted among 170 workers in a fertilizer company in Malaysia. The sample comprised both blue- and white-collar workers. A set of questionnaires consisting of sociodemographic items, the NORDIC musculoskeletal questionnaire and the Dutch Musculoskeletal Questionnaire was used for this study. The main analysis conducted was a multivariate logistic regression. Results showed that a total of 40% of workers experienced LBP. Compared to workers younger than 30 years of age, the risk of LBP was 8 times higher among those over 50 years of age. In addition, workers who were moderately stressed at work had a risk of LBP that was almost five times higher, and workers who did not have awkward posture for a long period of time had an 80% lower risk of LBP. In a multivariate logistic regression, after adjusting for sociodemographic variables, it was found that less repetitive work, shorter sustained positions and less frequent lifting of heavy objects prevented LBP. After the final adjustment including all other variables, only engaging in repetitive work was associated with LBP. In conclusion, each workplace should ensure that older workers, especially those who are working in stressful environments, are prevented from engaging in repetitive work, sustaining prolonged awkward postures and lifting heavy objects.

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FACTORS AFFECTING NURSE ANXIETY IN ROLE AS A CAREGIVER DURING THE COVID-19 PANDEMIC

Nurse and Health: Jurnal Keperawatan ◽

10.36720/nhjk.v10i1.233 ◽

2021 ◽

Vol 10 (1) ◽

pp. 108-115

Author(s):

Yurike Septianingrum ◽

Andikawati Fitriasari ◽

Erika Martining Wardani

Keyword(s):

Logistic Regression ◽

Personal Protective Equipment ◽

Health Workers ◽

Psychological Symptoms ◽

Cross Sectional Study ◽

Protective Equipment ◽

Multivariate Logistic Regression ◽

Chi Square ◽

Cross Sectional ◽

Chi Square Test

Background: During the Covid-19 outbreak, health workers, especially nurses, are vulnerable to potential psychological symptoms such as anxiety, which can prevent nurses from carrying out their role as caregivers in health services (Lai et al., 2020; Shanafelt et al., 2020). Objectives: The purpose of this study is to analyze the factors that can influence the anxiety of nurses in playing the role of caregiver during the Covid-19 pandemic. Methods: This is a cross-sectional study with a population of all nurses who met the inclusion criteria as much as 105 nurses. The research sample was selected through stratified random sampling and obtained 84 nurses. This research was conducted at RSI Jemursari Surabaya from June until September 2020. The research instruments used in this study were the demographic observation sheet, knowledge questionnaire, and the Hamilton Anxiety Rank Scale (HARS). Data analysis used Pearson chi-square test and multivariate logistic regression. Results: The results of the Pearson Chi-square test showed that of all the factors studied, only age (p = 0.004), availability of personal protective equipment (p = 0.002), and knowledge (p = 0.017) influenced nurses' anxiety. The results of the analysis using multivariate logistic regression test showed that the factor that most influenced nurses' anxiety was the availability of personal protective equipment (p = 0.001; OR = -3.062). Conclusion: Younger nurses, inadequate personal protective equipment, and less knowledgeable nurses were at high risk for more severe anxiety. Regular observation of the psychological condition of nurses and the fulfillment of the need for personal protective equipment is needed to prevent increased anxiety in nurses. Keywords: Nurse, anxiety, Covid-19, caregiver.

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Unmet Healthcare Needs and Associated Factors in Rural and Suburban Vietnam: A Cross-Sectional Study

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17176320 ◽

2020 ◽

Vol 17 (17) ◽

pp. 6320

Author(s):

Ju Young Kim ◽

Dae In Kim ◽

Hwa Yeon Park ◽

Yuliya Pak ◽

Phap Ngoc Hoang Tran ◽

...

Keyword(s):

Logistic Regression ◽

Associated Factors ◽

Healthcare Providers ◽

Healthcare Services ◽

Cross Sectional Study ◽

Sectional Study ◽

Multivariate Logistic Regression ◽

Cross Sectional ◽

Healthcare Needs ◽

Unmet Healthcare Needs

The purpose of this study was to examine the current utilization of healthcare services, exploring unmet healthcare needs and the associated factors among people living in rural Vietnam. This cross-sectional study was conducted with 233 participants in a rural area. The methods included face-to-face interviews using a structured questionnaire, and anthropometric and blood pressure measurements. We considered participants to have unmet health needs if they had any kind of health problem during the past 12 months for which they were unable to see a healthcare provider. Multivariate logistic regression analysis was performed to determine the factors associated with unmet healthcare needs. Of the participants, 18% (n = 43) had unmet healthcare needs, for reasons like transportation (30%), a lack of available doctors or medicine (47%), and communication issues with healthcare providers (16%). The multivariate logistic regression showed that living in a rural area, having stage 2 hypertension, and having insurance were associated with unmet healthcare needs. To better meet the healthcare needs in rural or suburban areas of Vietnam, allocation of adequate healthcare resources should be distributed in rural areas and insurance coverage for personalized healthcare needs might be required. Efforts should focus on availability of medicine, improvement of transportation systems, and communication skills of healthcare providers to improve access to healthcare services.

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Prevalence and correlates of overweight and obesity among adolescents in northeastern China: a cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2020-036820 ◽

2020 ◽

Vol 10 (7) ◽

pp. e036820

Author(s):

Ruixin Duan ◽

Changgui Kou ◽

Jing Jie ◽

Wei Bai ◽

Xiaoxin Lan ◽

...

Keyword(s):

Logistic Regression ◽

Dietary Habits ◽

Cross Sectional Study ◽

Overweight And Obesity ◽

Northeastern China ◽

Sectional Study ◽

Multivariate Logistic Regression ◽

Related Factors ◽

Cross Sectional ◽

Changchun City

ObjectivesTo estimate the prevalence of overweight/obesity among adolescents and evaluate the associated factors in this group in Changchun City in northeastern China.MethodsA cross-sectional study of 1955 adolescents aged 11–18 years was conducted in Changchun City using stratified cluster sampling. Parents and caregivers of children completed the questionnaires as requested without objection. The questionnaire included demographic characteristics and anthropometric parameters. Univariate and multivariate logistic regression analyses were performed to analyse the relationship between overweight/obesity and related factors.ResultsIn total, the prevalence of overweight was 12.7% (male 17.4%; female 10.1%) and of obesity was 4.9% (male 8.8%; female 3.1%) in Changchun, Jilin Province. The prevalence of overweight and obesity was higher in boys than in girls (p<0.001). Multivariate logistic regression showed that overweight and obesity were significantly associated with male sex (OR=1.91, 95% CI 1.48 to 2.47), eating fresh fruits more than 2 days per week (OR=1.41, 95% CI 1.09 to 1.84) and eating quickly (OR=1.37, 95% CI 1.06 to 1.78). Students who were not picky (OR=0.69, 95% CI 0.53 to 0.90) were less likely to be overweight, and adolescents whose father was overweight or obese (OR=0.67, 95% CI 0.52 to 0.86) or whose mother was overweight or obese (OR=0.72, 95% CI 0.52 to 0.99) were less likely to be overweight.ConclusionThe prevalence of overweight and obesity among adolescents in Changchun has been high in recent years, and the prevalence was higher among boys than among girls. Sex, dietary habits (weekly frequency of fruit consumption, picky eating and slowness in eating) and parental weight were important factors for overweight and obesity in adolescents. Further research should be conducted on the health of adolescents in China, and further intervention measures should be implemented to reduce the prevalence of overweight/obesity.

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Sex-Specific Differences in Related Indicators of Blood Pressure in School-Age Children With Overweight and Obesity: A Cross-Sectional Study

Frontiers in Pediatrics ◽

10.3389/fped.2021.674504 ◽

2021 ◽

Vol 9 ◽

Author(s):

Hongmei He ◽

Shujun Yang ◽

Na Qiu ◽

Ling Qiao ◽

Yong Ding ◽

...

Keyword(s):

Blood Pressure ◽

Logistic Regression ◽

Mean Arterial Pressure ◽

Cross Sectional Study ◽

Overweight And Obesity ◽

School Age Children ◽

School Age ◽

Sectional Study ◽

Multivariate Logistic Regression ◽

Cross Sectional

Objective: The objective of this study is to further explore the difference between elevated blood pressure (EBP), elevated pulse pressure (EPP), and elevated mean arterial pressure (EMAP) and obesity in Chinese school-age children by sex.Methods: We performed a cross-sectional study of 935 children between 7 and 12 years old. Overweight and obesity were defined by body mass index and body composition. The multivariate logistic regression and the adjusted population attributable risk were used to assess the effects of obesity on pre-EBP/EBP, EPP, and EMAP. The interactions were used to identify the modification of obese on the relationship between related indicators of blood pressure and height or age.Results: The average age of the children included in the study was 10. Boys with overweight and obesity had higher pre-EBP/EBP, EPP, and EMAP (p < 0.05). The multivariate logistic regression analysis showed that overweight and obesity had a greater impact on BP and MAP than PP, especially in boys [odds ratio (OR) > 1]. Pre-EBP/EBP in 79% of boys and 76% of girls could be attributable to the visceral fat level. The interaction between BP, PP, MAP, and height or age was modestly increased in children with overweight and obesity, especially in boys.Conclusions: Independent of age and height, obesity not only increases blood pressure, it also increases mean arterial pressure and pulse pressure, and this effect is more pronounced in boys.

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Serum albumin was negatively associated with diabetic peripheral neuropathy in Chinese population: a cross-sectional study

Diabetology & Metabolic Syndrome ◽

10.1186/s13098-021-00718-4 ◽

2021 ◽

Vol 13 (1) ◽

Author(s):

Pijun Yan ◽

Qian Tang ◽

Yuru Wu ◽

Qin Wan ◽

Zhihong Zhang ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Peripheral Neuropathy ◽

Serum Albumin ◽

Multivariate Logistic Regression Analysis ◽

Cross Sectional Study ◽

Chinese Patients ◽

Sectional Study ◽

Multivariate Logistic Regression ◽

Cross Sectional

Abstract Background Previous studies that explored the relationship of serum albumin with diabetic peripheral neuropathy (DPN) have indicated inconsistent results. Thus, the present study aimed to evaluated the association between serum albumin and DPN, defined as vibration perception threshold (VPT) values ≥ 25 V and/or inability to feel the monofilament, in Chinese patients with type 2 diabetes mellitus (T2DM). Methods 1465 T2DM patients aged ≥ 16 years, who completed the measurement of serum albumin and DPN screening between 2012 and 2015, were included in the cross-sectional study. Correlation and multivariate logistic regression analysis models were used to evaluate the possible relationship between serum albumin and DPN. Results Patients with higher quartiles of serum albumin had significantly lower VPT values and prevalence of DPN compared with those with lower quartiles (P for trend < 0.01), and there was an inverse relationship between serum albumin and VPT values and prevalence of DPN (all P < 0.01). Multivariate logistic regression analysis demonstrated that the risk of DPN was progressively decreased across serum albumin quartiles (P for trend < 0.01), and participants in the highest quartile of serum albumin were at a significantly decreased risk of DPN compared to those in the lowest quartile (odds rate: 0.311, 95% confidence intervals 0.134–0.724, P < 0.01). ROC analysis revealed that the optimal cutoff point of serum albumin for the prevalence of DPN was 39.95 g/L in patients with T2DM, with a sensitivity of 65.88% and a specificity of 66.7%. Conclusions Decreased levels of serum albumin might be correlated with increased risk of DPN in Chinese patients with T2DM. Future longitudinal studies with large samples are warranted to confirm our findings, and elucidate putative mechanisms for the association.

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A predictive nomogram: a cross-sectional study on a simple-to-use model for screening 12-year-old children for severe caries in middle schools

BMC Oral Health ◽

10.1186/s12903-021-01819-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Shaoying Duan ◽

Meng Li ◽

Jialiang Zhao ◽

Huiyu Yang ◽

Jinfeng He ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Cross Validation ◽

Multivariate Logistic Regression Analysis ◽

Cross Sectional Study ◽

Sectional Study ◽

Multivariate Logistic Regression ◽

Cross Sectional ◽

Dental Professionals

Abstract Background A nomogram is a tool that transforms complex regression equations into simple and visual graphs and enables clinicians and patients to conveniently compute output probabilities without needing medical knowledge and complex formulas. The aim of this study was to develop and validate a predictive nomogram to screen for severe caries among 12-year-old children based on risk factors in Sichuan Province, China. Methods A cross-sectional study of 4573 12-year-olds was conducted up to May 2016 in middle schools from three districts and three counties in Sichuan Province, China. All the children underwent oral examinations and completed questionnaires to assess general information, oral impacts on daily performance, dietary habits, subjective health conditions, history of dental trauma, frequency of toothache, dental visits, and knowledge, attitudes, and behaviours toward oral hygiene. Univariate analysis and multivariate logistic regression analysis were used to determine which variables were significantly associated with severe caries (operationalized as DMFT ≥ 3). A nomogram was developed and validated by using the ‘rms’ package and two cross-validation methods. Results Severe caries was found in 537 of the 4573 children (11.74%). Multivariate logistic regression analysis revealed that the following variables predicted a higher risk of severe caries: ‘female’ [odds ratio (OR) = 1.985, 95% confidence interval (95% CI): 1.63–2.411], ‘urban’ (OR = 2.389, 95% CI: 1.96–2.91), ‘non-only child’ (OR = 1.317, 95% CI: 1.07–1.625), ‘very poor self-assessment of oral health status’ (OR = 2.157, 95% CI: 1.34–3.467) and ‘visited a dentist less than 6 months’ (OR = 1.861, 95% CI: 1.38–2.505). Multivariate logistic regression analysis also indicated that the following variables predicted a lower risk of severe caries: ‘middle level of urbanization’ (OR = 0.395, 95% CI: 0.32–0.495) and ‘high level of urbanization’ (OR = 0.466, 95% CI: 0.37–0.596). Both the fivefold and leave-one-out cross-validation methods indicated that the nomogram model built by these 6 variables displayed good disease recognition ability. Conclusions The nomogram was a simple-to-use model to screen children for severe caries. This model was found to facilitate non-dental professionals in assessing risk values without oral examinations and making referrals to dental professionals.

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Perceptions and Acceptance of mHealth in Patients With Cardiovascular Diseases: A Cross-Sectional Study (Preprint)

10.2196/preprints.10117 ◽

2018 ◽

Author(s):

Jie Jiang ◽

Qin Zhu ◽

Yimei Zheng ◽

Yajing Zhu ◽

Yuxi Li ◽

...

Keyword(s):

Logistic Regression ◽

Cardiovascular Diseases ◽

Disease Management ◽

Cross Sectional Study ◽

Self Management ◽

The Internet ◽

Sectional Study ◽

Multivariate Logistic Regression ◽

Cross Sectional ◽

Willingness To Use

BACKGROUND Mobile health (mHealth)—a method of assisting long-term care in patients with chronic cardiovascular diseases (CVDs)—is gaining popularity in China, mainly owing to the large number of patients and limited clinical resources. Patients of different ages have varying needs for CVD management. However, evidence regarding how age influences Chinese CVD patients’ use and perceptions of mHealth is limited. OBJECTIVE This study aimed to explore age-related differences among Chinese patients with CVD regarding their use and perceptions of mHealth and to determine the factors that influence this population’s willingness to use mHealth technologies. METHODS We conducted a cross-sectional study of patients with chronic CVDs in a tertiary hospital in Beijing using a new questionnaire designed by the investigators. Participants were sourced using nonproportional quota-sampling methods, being recruited consecutively in each sampling category (age 18-49, 50-64, 65-74, and ≥75 years, with at least 25 men and 25 women in each age group). The survey consisted of 5 parts, including sociodemographic profile and medical history; current disease management situation; self-evaluation of disease management; current usage of mobile and internet technology (IT); and willingness to use an mHealth solution to perform disease self-management. Responses were compared among the 4 age groups as well as between patients who were willing to use mHealth solutions and those who were not. Multivariate logistic regression model was used to identify predictors of willingness to use mHealth for self-management. RESULTS Overall, 231 patients (124 men) completed the questionnaire; of these, 53 were aged 18-49 years, 66 were aged 50-64 years, 54 were aged 65-74 years, and 58 were aged ≥75 years. Patients in the older cohorts visited hospitals more often than did those in the younger cohorts (P<.001), and they also showed lower technology skills regarding the use of mobile or internet devices (P<.001) and searched for health-related information on the internet less often (P<.001). In addition, 68.0% (157/231) of the patients showed interest in using mHealth solution to manage their disease; of these, 40.8% (64/157) were aged 65 years. Patients who were more willing to use mHealth solution to manage their diseases were younger (P<.001), more educated (P<.001), still working (P=.001), possessed higher skill regarding mobile or internet device use (P<.001), and more frequently searched for health information on the internet (P<.001). Finally, multivariate logistic regression showed that IT skill was the single indicator (P=.003) of willingness to use mHealth, not age. CONCLUSIONS Although age is associated with the use of mobile or internet devices, the sole indicator of mHealth use for self-management was participants’ IT skills. Education regarding the use of mobile devices and development of easy-to-use software might improve the acceptance of mHealth solutions among older patient populations.

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Comprehensive Hospitals Nurses’ Cognition on Palliative Care in Shandong Province, China: A Cross-Sectional Study

Iranian Journal of Public Health ◽

10.18502/ijph.v50i7.6623 ◽

2021 ◽

Author(s):

Hailing Yang ◽

Meimei Shang ◽

Chunhua Sun ◽

Lihua Li ◽

Chao Wang

Keyword(s):

Palliative Care ◽

Logistic Regression ◽

Regression Analysis ◽

Multivariate Logistic Regression Analysis ◽

Cross Sectional Study ◽

Shandong Province ◽

Sectional Study ◽

Multivariate Logistic Regression ◽

Cross Sectional ◽

Nursing Knowledge

Background: Palliative care is an essential part of medical practice, however, it has developed slowly in China. We aimed to analyze the current situations of the cognition on palliative care among the nurses in Shandong Province, China. Methods: This was a cross sectional study. Investigation of 1050 nurses came from 5 third-class hospitals and 5 second-class hospitals in Shandong Province, China from Jul to Oct in 2018. The questionnaire included 4 parts: general information of the subject, the questionnaire of palliative nursing knowledge, attitude, and the behavior. Data were collected by the APP. Overall, after eliminating the invalid questionnaires, 1026 questionnaires were included in the final analyses. The software Stata 14.2 was used for all statistical analyses. Results: The score of knowledge and attitude was low, the practice was higher. Multivariate analysis results: the significant independent variables of univariate analysis were included in the multivariate non-conditional logistic regression model for analysis. Some departments had statistical significance in knowledge multivariate Logistic regression analysis. The multivariate logistic regression analysis of practice was significant for physical health and religious beliefs. The statistical variables of the total score of cognition were gender, age of care, health status and religious beliefs. Conclusion: Nursing knowledge is lacking and attitude remains to be improved as soon as possible. It is vital to improve the cognition of palliative care of nurses in Shandong general hospitals by developing relevant rules and regulations, strengthening the supervision of relevant ant departments, and enhancing training for nurses.

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Association between Helicobacter pylori Infection and Diabetes: A Cross-Sectional Study in China

Journal of Diabetes Research ◽

10.1155/2020/7201379 ◽

2020 ◽

Vol 2020 ◽

pp. 1-8

Author(s):

Sailimai Man ◽

Yuan Ma ◽

Cheng Jin ◽

Jun Lv ◽

Mingkun Tong ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Subgroup Analysis ◽

Multivariate Logistic Regression Analysis ◽

Cross Sectional Study ◽

Sectional Study ◽

Multivariate Logistic Regression ◽

Cross Sectional ◽

Increased Risk ◽

H Pylori

Background. Studies suggest an association between H. pylori infection and extragastrointestinal disease. Limited studies provided conflicting results on the association between H. pylori infection and diabetes. The present study was aimed at examining the association between H. pylori infection and diabetes in a large health checkup population in China. Methods. A cross-sectional study was conducted; participants who attended health checkups at Beijing MJ Health Screening Center during 2017-2018 were included. H. pylori infection was diagnosed by 13C-urea breath test. Multivariate logistic regression analysis was performed to evaluate the association between H. pylori infection and diabetes. Results. The mean age of 13,397 participants was 43.8±12 years. The prevalence of H. pylori infection and diabetes was 28.2% and 8.1%, respectively. The prevalence of diabetes was higher among H. pylori-positive participants compared with their counterparts (8.9% vs 7.8%, p=0.05). After adjustment of age, sex, family history of diabetes, smoking, education, stroke, coronary heart disease, BMI, SBP, TG, HDL-C, and LDL-C, multivariate logistic regression analysis found no association between H. pylori infection and diabetes (OR 1.02, 95% CI 0.88-1.18). Additionally, subgroup analysis indicated that H. pylori infection was significantly associated with increased risk of diabetes in the female group (OR 1.09, 95% CI 1.08-1.09). Conclusions. No significant association was found between H. pylori infection and diabetes. However, the subgroup analysis suggested that H. pylori infection was possibly associated with increased risk of diabetes among females. Future cohort studies are needed to verify this association in females and to address possible implication in the prevention of diabetes.

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LDL-C:HDL-C ratio and common carotid plaque in Xinjiang Uygur obese adults: a cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2018-022757 ◽

2018 ◽

Vol 8 (10) ◽

pp. e022757 ◽

Cited By ~ 4

Author(s):

Qiang Zhao ◽

Fen Liu ◽

Ying-Hong Wang ◽

Hong-Mei Lai ◽

Qian Zhao ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Independent Predictor ◽

Multivariate Logistic Regression Analysis ◽

Density Lipoprotein ◽

Cross Sectional Study ◽

Sectional Study ◽

Multivariate Logistic Regression ◽

Obese Adults ◽

Cross Sectional

ObjectiveThe aim of this study was to explore the relationship between low-density lipoprotein cholesterol:high-density lipoprotein cholesterol (LDL-C:HDL-C) ratio and common carotid atherosclerotic plaque (CCAP) among obese adults of Uygur community in Xinjiang, China.DesignA hospital-based cross-sectional study.SettingFirst Affiliated Hospital of Xinjiang Medical University.ParticipantsA total of 1449 obese adults of Uygur population who were free of coronary artery disease were included in our study from 1 January 2014 to 31 December 2016.MethodologyLipid profiles, other routine laboratory parameters and intima-media thickness of the common carotid artery were measured in all participants. Multivariate logistic regression analysis was used to examine the association between LDL-C:HDL-C ratio and CCAP.ResultsFour hundred and fifteen (28.64%) participants had CCAP. Participants with CCAP had significantly higher LDL-C:HDL-C ratio compared with those without CCAP (3.21 [2.50, 3.88] vs 2.33 [1.95, 2.97], p<0.001). Multivariate logistic regression analysis showed high LDL-C:HDL-C ratio as independent predictor of CCAP after adjusting for conventional cardiovascular risk factors. The top LDL-C:HDL-C ratio quartile (≥3.25) had an OR of 9.355 (95% CI 6.181 to 14.157) compared with the bottom quartile (<2.07) of LDL-C:HDL-C ratio (p<0.001) after adjustment for age, body mass index, smoking, diabetes mellitus and serum level of total cholesterol.ConclusionCCAP is highly prevalent in Uygur obese adults. A high LDL-C:HDL-C ratio is an independent predictor of CCAP. It may help identify obese individuals who are at high risk of CCAP and who may benefit from intensive LDL-lowering therapy.

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