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Introduction: Health surveillance programs conducted for both individual workers and working populations as a whole are managed by occupational health physicians and focus on disorders and diseases caused by biomechanical overload, primarily for preventive purposes., Objectives: The purpose of the paper is to update an anamnestic protocol for studying musculoskeletal disorders after more than 40 years experience of its application. The updated version has been re-named the Latin Questionnaire. The protocol enables preliminary epidemiological evaluation, by comparing results of exposed populations to those from a reference population, thanks to the introduction of a severity threshold, a concept lacking in similar questionnaires., Methods: The Latin Questionnaire is based on symptoms of discomfort, pain, and paraesthesia. Each symptom is described in terms of location, duration, number of episodes, irradiation, and treatment. The model covers present symptoms during the previous 12 months and is designed to identify positive anamnestic cases (when positive according to the threshold), cases with minor disorders, and negative cases for conditions involving the spine and upper and lower limbs., Results: The updated anamnestic model was validated again through the collaborative effort involving 37 physicians from 14 Latin countries. To enable comparisons with exposed populations, an updated reference population (4,000 unexposed workers) is presented, evaluating the percentages of subjects positive according to thresholds for spine and upper and lower limbs and the incidence of acute lower back pain, broken down by gender and age groups. Examples of application of the questionnaire are also presented., Conclusions: The Latin Questionnaire, which has also been implemented in digital form (free download), allows selection of significant anamnestic cases compared to cases with minor disorders. This strategy is indispensable for correctly conducting preliminary epidemiological studies. Example applications confirm the presence of significant differences between the percentages of subjects with positive thresholds in exposed compared to reference groups, with surpluses proportional to their levels of biomechanical overload., Competing Interests: Conflicts of interest: None

Objective: To validate the effectiveness of MAPO method (Movement and Assistance of Hospital Patient) after the introduction of some changes to improve assessment objectivity., Background: The number of operators exposed to patient manual handling is increasing considerably. MAPO, proposed in 1999 as a useful tool to estimate the risk of patient manual handling, is a method characterized by analytical quickness. It has recently been improved to better match the 2012 ISO (International Organization for Standardization) technical report., Methods: A multicenter study was conducted between 2014 and 2016 involving 26 Italian hospitals in the Apulia Region. MAPO method was used to assess the risk of patient manual handling in 116 wards. A total of 1,998 exposed subjects were evaluated for the presence or absence of acute low back pain in the previous 12 months., Results: Only 12% of the investigated wards fell in the green exposure level (MAPO index = 0.1-1.5), 37% resulted in the average exposure level (MAPO index = 1.51-5) and the remaining 51% in the higher exposure level (MAPO index >5). The results confirmed a positive association between increasing levels of MAPO index and the number of episodes of acute low back pain (adjusted p trend = .001)., Conclusion: The improvements made over the past years led to a more objective assessment procedure. Despite the changes, the study confirmed the effectiveness of MAPO method to predict low back pain., Application: MAPO method is an accurate risk assessment tool that identifies and evaluates workplace risks. The proper application of the method significantly improves working conditions.

Background: Data on the prevalence of work-related musculoskeletal disorders (WMSDs) in groups of unexposed subjects may serve for comparison in studies on risk/damage in groups of exposed subjects and for the planning of preventive interventions., Objectives: To assess the musculoskeletal health status in a group of working subjects not exposed to biomechanical overload., Methods: Medical histories were collected by occupational health physicians as part of an active health surveillance program. An ad hoc questionnaire was administered to the subjects to detect musculoskeletal disorders., Results: The sample consisted of 1023 subjects (605 females and 418 males) with a mean age of 40 years. The prevalence of acute low back pain and disc hernia was 4% and 5.6% respectively; 4.3% of subjects were affected by at least one disorder of the upper limbs while the prevalence of knee disorders was 1.7%. Standardized data proved to be in line with previous studies with the exception of a greater prevalence of shoulder disorders and disc hernia., Conclusions: WMSDs occur ubiquitously across the general working population unexposed to biomechanical overload. Such findings represent a valid reference for groups of exposed working subjects, in that any excess of such disorders/pathology may be due to specific work conditions.

Objective The aim of this study was to explore whether the Variable Lifting Index (VLI) can be corrected for cumulative mass and thus test its efficacy in predicting the risk of low-back pain (LBP). Background A validation study of the VLI method was published in this journal reporting promising results. Although several studies highlighted a positive correlation between cumulative load and LBP, cumulative mass has never been considered in any of the studies investigating the relationship between manual material handling and LBP. Method Both VLI and cumulative mass were calculated for 2,374 exposed subjects using a systematic approach. Due to high variability of cumulative mass values, a stratification within VLI categories was employed. Dummy variables (1-4) were assigned to each class and used as a multiplier factor for the VLI, resulting in a new index (VLI_CMM). Data on LBP were collected by occupational physicians at the study sites. Logistic regression was used to estimate the risk of acute LBP within levels of risk exposure when compared with a control group formed by 1,028 unexposed subjects. Results Data showed greatly variable values of cumulative mass across all VLI classes. The potential effect of cumulative mass on damage emerged as not significant ( p value = .6526). Conclusion When comparing VLI_CMM with raw VLI, the former failed to prove itself as a better predictor of LBP risk. Application To recognize cumulative mass as a modifier, especially for lumbar degenerative spine diseases, authors of future studies should investigate potential association between the VLI and other damage variables.

Objective: The aim of this study was to evaluate the efficacy of the new Variable Lifting Index (VLI) method, theoretically based on the Revised National Institute for Occupational Safety and Health [NIOSH] Lifting Equation (RNLE), in predicting the risk of acute low-back pain (LBP) in the past 12 months., Background: A new risk variable termed the VLI for assessing variable manual lifting has been developed, but there has been no epidemiological study that evaluates the relationship between the VLI and LBP., Method: A sample of 3,402 study participants from 16 companies in different industrial sectors was analyzed. Of the participants, 2,374 were in the risk exposure group involving manual materials handling (MMH), and 1,028 were in the control group without MMH. The VLI was calculated for each participant in the exposure group using a systematic approach. LBP information was collected by occupational physicians at the study sites. The risk of acute LBP was estimated by calculating the odds ratio (OR) between levels of the risk exposure and the control group using a logistic regression analysis. Both crude and adjusted ORs for body mass index, gender, and age were analyzed., Results: Both crude and adjusted ORs showed a dose-response relationship. As the levels of VLI increased, the risk of LBP increased. This risk relationship existed when VLI was greater than 1., Conclusion: The VLI method can be used to assess the risk of acute LBP, although further studies are needed to confirm the outcome and to define better VLI categories., (© 2016, Human Factors and Ergonomics Society.)