Farmers, mechanized work, and links to obesity

Associations between body mass index and all-cause and CVD mortality in agriculture, forestry, and fishing occupations: A prospective cohort study using NHANES data (1999-2014)

INTRODUCTION

Obesity, as indicated by elevated Body Mass Index (BMI), is a well-established global health concern associated with increased morbidity and mortality across diverse populations. However, the influence of BMI on individuals in Agriculture, Forestry, and Fishing (AFF) occupations, characterized by unique challenges and environmental factors, has received limited research attention.

METHODS

Our study, a prospective cohort analysis, utilized National Health and Nutrition Examination Survey (NHANES) data from 1999-2014, targeting adults above 18 in AFF occupations with comprehensive BMI data, omitting individuals with a history of cancer. Mortality outcomes were extracted from the NHANES mortality file, and BMI was segmented into eight categories. Essential covariates such as age, sex, race, and various health factors were incorporated. The statistical analysis encompassed Cox regression, generalized additive models, smooth curve fitting, and stratified analyses.

RESULTS

During 1,005 person-years with 201 all-cause and 57 CVD deaths, we observed L-shaped and U-shaped correlations of BMI with all-cause and CVD mortality, featuring a pivotal inflection at 26.69 and 27.40 kg/m2. Above this BMI threshold of 26.69 and 27.4 kg/m2, all-cause mortality association was not significant while CVD mortality was positive.

CONCLUSIONS

This study highlights a unique BMI-mortality association in AFF occupations, diverging from standard patterns. The rigorous labor and environmental conditions in AFF jobs suggest that a certain range of higher BMI could reduce mortality risk. This highlights the necessity for tailored health guidelines in different occupations. Future research should concentrate on diverse health indicators and enhanced risk assessment for physically strenuous occupations.

Agricultural activities and risk of Alzheimer's disease: the TRACTOR project, a nationwide retrospective cohort study

Data regarding Alzheimer's disease (AD) occurrence in farming populations is lacking. This study aimed to investigate whether, among the entire French farm manager (FM) workforce, certain agricultural activities are more strongly associated with AD than others, using nationwide data from the TRACTOR (Tracking and monitoring occupational risks in agriculture) project. Administrative health insurance data (digital electronic health/medical records and insurance claims) for the entire French agricultural workforce, over the period 2002-2016, on the entire mainland France were used to estimate the risk of AD for 26 agricultural activities with Cox proportional hazards model. For each analysis (one for each activity), the exposed group included all FMs that performed the activity of interest (e.g. crop farming), while the reference group included all FMs who did not carry out the activity of interest (e.g. FMs that never farmed crops between 2002 and 2016). There were 5067 cases among 1,036,069 FMs who worked at least one year between 2002 and 2016. Analyses showed higher risks of AD for crop farming (hazard ratio (HR) = 3.72 [3.47-3.98]), viticulture (HR = 1.29 [1.18-1.42]), and fruit arboriculture (HR = 1.36 [1.15-1.62]). By contrast, lower risks of AD were found for several animal farming types, in particular for poultry and rabbit farming (HR = 0.29 [0.20-0.44]), ovine and caprine farming (HR = 0.50 [0.41-0.61]), mixed dairy and cow farming (HR = 0.46 [0.37-0.57]), dairy farming (HR = 0.67 [0.61-0.73]), and pig farming (HR = 0.30 [0.18-0.52]). This study shed some light on the association between a wide range of agricultural activities and AD in the entire French FMs population.

Depression in Brazilian farmers: prevalence and associated factors

BACKGROUND

The unique characteristics of rural areas and agricultural work can contribute to the genesis of diseases, including mental disorders such as depression.

AIMS

To estimate the prevalence of and factors associated with depression symptoms in Brazilian farmers.

METHODS

A cross-sectional epidemiological study involving 784 farmers of the state of Espírito Santo/Brazil was carried out. Depression was identified using the Mini-International Neuropsychiatric Interview. Hierarchical logistic regression was used to assess the associated factors.

RESULTS

The prevalence of depression symptoms among farmers was 16.8% (n = 132). Of those experiencing symptoms, 6.1% (n = 48) we're currently experiencing a depressive episode, and 10.7% (n = 84) a recurrent depressive episodes. The associated factors were: female gender (OR 1.63; 95% CI 1.04-2.54), not owning the land (OR 1.79; 95% CI 1.11-2.89), professional dissatisfaction (OR 1.99; 95% CI 1.18-3.35), previous pesticide poisoning (OR 2.87; 95% CI 1.45-5.67), complex multimorbidity (OR 1.95; 95% CI 1.15-3.31) and occurrence of previous depressive episodes (OR 9.83; 95% CI 4.39-21.99).

CONCLUSIONS

A high prevalence of depression symptoms was identified among rural workers. Sociodemographic, occupational, clinical, and professional dissatisfaction factors were associated with a higher risk of depression symptoms in this population.

'A Different Ball Game': Adaptation of a men's health program for implementation in rural Australia

BACKGROUND

Men residing in rural areas are less likely to participate in weight management interventions than women, and few men-specific programs target rural areas. Aussie-Fans in Training (Aussie-FIT) is an evidence-based weight management intervention that uses professional Australian Football club affiliations and settings as a 'hook' to engage urban-residing men. The aim of this study is to report on how findings from rural stakeholder focus groups were used to inform the adaptation of Aussie-FIT for implementation in rural areas.

METHODS

Seven focus groups with stakeholders (n = 24) in three rural towns explored existing weight management and physical activity provisions, barriers and facilitators to engaging men, and considerations for adapting Aussie-FIT for implementation in rural contexts. Qualitative data were analysed using the framework approach. Adaptations made to the Aussie-FIT program and strategies to implement the program in rural contexts were reported using a structured framework.

RESULTS

Themes generated from our analysis include limited appealing services for men, Australian Football as a 'common language', the influence of the 'smaller fishpond'(population), considerations for program inclusivity, and the importance of local partner organisations for sustainability. We adapted the recruitment and marketing strategies, delivery settings, football program theme and partnerships for rural implementation. Stakeholders advised that an Australian Football program theme without specific local club affiliations would be important to avoid alienating men with differing club allegiances or non-sporting backgrounds. A multi-component recruitment strategy utilising local trusted sources, and program marketing that aligns with masculine ideals were considered important by stakeholders in small communities where 'people talk'.

CONCLUSIONS

Rural areas were described as 'a different ball game' due to limited local services and resources in comparison to metropolitan areas. Study findings have synergies with previous studies undertaken in rural contexts including in relation to the power of word of mouth, the importance of trust, and local partner organisations. Findings have implications for engaging rural men in health interventions in rural contexts where professional sporting contexts are not available. Assessing the extent to which the adapted Aussie-FIT program can reach and engage men in rural Australia, and exploring the barriers and facilitators to delivering the program in rural contexts is required.

Health and well-being of Hutterite farmers in Alberta: Results from the Sustainable Farm Families Alberta program

Introduction

This article describes the health and lifestyle profile of Hutterite farmers in Alberta who participated in a health literacy education program.

Methods

Longitudinal quantitative and qualitative data from the sustainable farm families (SFF) Alberta program (2014-2017) were used to describe the health and lifestyle profile of Hutterites. Data were analysed using descriptive statistics and conventional and summative content analysis.

Results

Four hundred and twenty-seven Hutterite men and women aged 18-75 years participated in a health literacy education program. About 50%-80% of Hutterites reported good health status, no hearing or sleeping problems, little to no body pain, fewer breathing and bladder difficulties and no constipation/diarrhoea. On average, the risk of diabetes was low (mean = 3.4) with total glucose (mean = 5.2) and cholesterol (mean = 3.5) within normal levels. Mental health outcomes such as anxiety (mean = 4.1), stress (mean = 6.7) and depression (mean = 3.1) were also within normal to mild ranges. Qualitative data showed that Hutterite farmers are committed to maintaining physical health and adopting strategies to improve mental health and lifestyle behaviours.

Conclusion

Hutterites have recognisable health challenges like other rural farming communities but are aware of their physical and mental health challenges and engage in healthy lifestyle behaviours. The Hutterite tenets of living present a perfect ecological setting for sustainable health promotion intervention.

Predictors of cancer risky and preventive behaviors among the Nebraska farmers population

PURPOSE

Previous studies on cancer risk among agricultural producers have focused on occupational exposures, with only a few studies examining behavioral factors. The aim of this study was to understand cancer risky and preventative behaviors among the large farming population in Nebraska.

METHODS

A statewide cross-sectional study of farmers in Nebraska aged 19 and older was conducted in 2019 (n = 782). Multivariable logistic regression was used to examine factors associated with being up to date on cancer screening and with cancer risky and preventive behaviors.

FINDINGS

The 93.68% of the Nebraska farmers population do not meet the daily recommended consumption of fruits and vegetables, and 70.14% reported regular alcohol consumption. The proportion of adults up to date on cancer screening was 79.57% for breast, 67.55% for cervical, 85.54% for colorectal, and 46.05% for skin cancers. Compared to women, men had a higher odds of heavy alcohol consumption (aOR 2.96, 95% CI 1.94-4.56) and ever smoking 100 or more cigarettes (aOR 1.66, 95% CI 1.03-2.73). The odds of being current with skin cancer screening was higher among those with higher incomes (aOR 1.77, 95% CI 1.06-3.01). Compared to men aged 50-64, the odds of being current with prostate cancer screening was higher among men aged 65-74 (aOR: 2.65, 95% CI 1.10-7.31) and 75 and older (aOR: 7.73, 95% CI 2.03-51.73).

CONCLUSIONS

Disparities in cancer screening and risk and preventive behaviors exist among farmers in Nebraska. The study highlights a need for continuing efforts to improve preventive cancer behaviors targeted to the farming population.

Sex inequality driven by dispersal

Inequality between the sexes is pervasive both outside and inside the home. One contributing factor could be the dispersal of one sex at marriage that sets up sex-specific differences in relatedness to the group. Here we exploit the ecological diversity and different social structures found in southwest China to investigate the role of sex-biased dispersal on inequality in the sexual division of labor. We use a wearable fitness tracker and validated readings by confirming that participants' daily "steps" were positively correlated with time spent in high-energy activities, such as agriculture and animal husbandry work, and negatively correlated with low-energy activities, such as leisure and relaxation. We applied multilevel comparative approaches to examine the relative workload pattern between the sexes under different dispersal states. Our results reveal two characteristics that lead to an unfavorable division of workload: being female and dispersing at marriage. This is consistent with the hypothesis that males have increased bargaining power when remaining in their natal home, leading to inequality in workload.

Trends in the distribution of body mass index, waist circumference and prevalence of obesity among Taiwanese adults, 1993–2016

Background

Differences in the prevalence of general and abdominal obesity by subgroups such as age, sex, and education have been reported worldwide. Most studies in Taiwan regarding obesity prevalence were targeted at school-aged children or without further stratification by subgroups. Our aim was to examine the age-specific secular trend of body mass index (BMI), waist circumference (WC), and obesity prevalence stratified by sex, education and urbanization levels in Taiwanese adults.

Methods

We used three waves of nationally representative population from the Nutrition and Health Survey in Taiwan (NAHSIT) 1993–1996 (n = 2 989), 2005–2008 (n = 2 495), and 2013–2016 (n = 2 880). The data included standardized measurement of body weight, height, and WC. We conducted a serial cross-sectional analysis among adults aged 20 years or above to examine the age-specific trends of BMI, WC, and the prevalence of underweight, overweight, general obesity, and abdominal obesity with stratification by sex, education, and urbanization levels.

Results

The general obesity prevalence was 16%, 21%, and 20% and the abdominal obesity prevalence was 27%, 42%, and 47% in the 1993–1996, 2005–2008, and 2013–2016 surveys, respectively. The age-specific secular trend of BMI differed across subgroups; however, the trend of WC increased rapidly regardless of subgroups, except for women aged ≥60 years. The general obesity prevalence increased noticeably among men, younger- and middle-age adults with high school or higher education, middle- and older-age adults with lower than high school education, people <39 and ≥50 years of age residing in rural areas, and among those between 30 and 59 and ≥70 years of age residing in urban areas.

Conclusions

Although the increasing trend of general obesity prevalence was levelling off among several subgroups, the abdominal obesity prevalence increased significantly and rapidly in Taiwan. Future research in developing effective weight and WC control interventions tailored to different subgroups is urgently needed.

Prevalence and determinants of obesity and abdominal obesity among rural workers in Southeastern Brazil

The objectives of this study were to assess the nutritional status of rural workers from a municipality in Southeastern Brazil and estimate the association of sociodemographic, labor, lifestyle, and dietary pattern factors with obesity and abdominal obesity of men and women of this rural area. This is a cross-sectional, epidemiological study of 740 farmers (51.5%, n = 381 males; 48.5%, n = 359 females). The sociodemographic, labor, lifestyle and dietary patterns determinants were assessed. Food intake data were obtained by applying three 24-hour recalls and dietary patterns were determined by Principal Component Analysis with Varimax orthogonal rotation. Poisson regression with robust variance stratified by sex was applied. The general prevalence of overweight status was 31.5% (95% CI 28.2-34.8%), 19.7% of obesity (95% CI 16.8-22.6%) and 31.5% of abdominal obesity (95% CI 28.2-34.8%), with higher rates in women (P < 0.001). Men of higher socioeconomic class had a 2.3 times higher prevalence of obesity (95% CI 1.08-4.90). In addition, the shorter travel time to purchase food increased the prevalence of abdominal obesity in males. For women, the older the age group, the greater the general and central obesity. A lower adherence to traditional dietary patterns (approximately PR [prevalence ratio] 1.6 for general obesity and PR 1.3 for abdominal obesity) and a greater number of places to buy food were associated with higher rates of obesity in women. Finally, women farmers with a higher workload had a 20% lower prevalence of central obesity (PR 0.80; 95% CI 0.65-0.97). Such findings demonstrate that obesity must be an issue in the health care of remote and rural populations. There is a need to promote healthier environments that respect traditional food culture through multiple approaches that consider the heterogeneity of rural areas and the differences between sexes.

Factors Associated with Musculoskeletal Discomfort in Farmers and Ranchers in the U.S. Central States

Agricultural work involves ergonomic and psychosocial strain, which contribute to musculoskeletal conditions. The aim of this study was to assess if specific ergonomic, psychosocial, and preventive factors are linked to musculoskeletal pain or discomfort symptoms (MSS) in farmers and ranchers. We analyzed data from the Central States Center for Agricultural Safety and Health survey that was conducted in 2018 in a seven-state region of the central United States. MSS were assessed with questions from the Standardized Nordic Questionnaire. The survey included questions on demographic, ergonomic, psychosocial and preventive factors. Farm production variables were added from the Farm Market iD database. We analyzed the data using Generalized Estimating Equations. The overall prevalence of MSS for all body sites combined was 59% among 4,354 farmers and ranchers who responded (19% response rate). After controlling for age, sex, and operator status, three factors (high stress level, sleep deprivation, and exhaustion/fatigue) showed the strongest associations with MSS in any body site, with adjusted odds ratios (OR) ranging from 4.8 to 5.6. Forceful exertions, repetitive tasks, awkward postures, frequent manual labor, and vibration were also significantly associated with MSS, with adjusted ORs ranging from 1.8 to 3.3. Recommended preventive techniques were not protective for MSS. New effective strategies are needed to reduce the high burden of musculoskeletal outcomes among farmers and agricultural workers.

Mobile health assisted self-monitoring is acceptable for supporting weight loss in rural men: a pragmatic randomized controlled feasibility trial

BACKGROUND

Addressing overweight and obesity among men at-risk for obesity-related diseases and disability in rural communities is a public health issue. Commercial smartphone applications (apps) that promote self-monitoring for weight loss are widely available. Evidence is lacking regarding what support is required to enhance user engagement with and effectiveness of those technologies. Pragmatically comparing these apps effectiveness, including rural men's desired forms of support when using them, can lead to greater weight loss intervention impact and reach. This study assessed the feasibility and acceptability of a mobile technology application applied differently across two groups for weight loss.

METHODS

In a two-armed, pragmatic pilot feasibility study, 80 overweight and obese men aged 40-69 were randomized using a 1:1 ratio to either an enhanced Mobile Technology Plus (MT+) intervention or a basic Mobile Technology (MT) intervention. The MT+ group had an enhanced smartphone app for self-monitoring (text messaging, discussion group, Wi-Fi scale) whereas the MT group received a basic app that allowed self-monitoring logging only. Assessments were collected at baseline, 3 and 6 months. App logs were analyzed to track engagement and adherence to self-monitoring. Acceptability was assessed via focus groups. Analysis included descriptive statistics and qualitative content analysis.

RESULTS

Of 80 men recruited, forty were allocated to each arm. All were included in the primary analysis. Recruitment ended after 10 months with a 97.5 and 92.5% (3 month, 6 month) retention rate. Over 90% of men reported via survey and focus groups that Lose-It app and smart scale (MT+) was an acceptable way to self-monitor weight, dietary intake and physical activity. Adherence to daily app self-monitoring of at least 800 dietary calories or more (reported respectively as MT+, MT) was positive with 73.4, 51.6% tracking at least 5 days a week. Adherence to tracking activity via recorded steps four or more days weekly was positive, 87.8, 64.6%. Men also adhered to self-weighing at least once weekly, 64, 46.3%. At 6 months, an observed mean weight loss was 7.03 kg (95% CI: 3.67, 10.39) for MT+ group and 4.14 kg (95% CI: 2.22, 6.06) for MT group, with 42.9 and 34.2% meeting ≥5% weight loss, respectively. No adverse events were reported.

CONCLUSIONS

This National Institutes of Health-funded pilot study using mobile technologies to support behavior change for weight loss was found to be feasible and acceptable among midlife and older rural men. The interventions demonstrated successful reductions in weight, noting differing adherence to lifestyle behaviors of eating, monitoring and activity between groups, with men in the MT+ having more favorable results. These findings will be used to inform the design of a larger scale, clinical trial.

TRIAL REGISTRATION

The trial was prospectively registered with ClinicalTrials NCT03329079 . 11/1/2017.

Association of Selenium Intake and Development of Depression in Brazilian Farmers

Introduction: Depression and deficiency in the consumption of micronutrients are a public health problem, especially in the rural population. The deficiency in selenium consumption affects mental health, contributing to the development of major depressive disorders. Thus, this study aimed to evaluate selenium intake and its association with depressive symptoms in farmers in southeastern Brazil. Material and Methods: Epidemiological, cross-sectional, and analytical study with 736 farmers aged between 18 and 59. A semistructured questionnaire was used to collect sociodemographic, lifestyle and clinical condition data. For evaluation of food intake, three 24-h recalls were applied, and for identification of depressive episodes, the Mini-International Neuropsychiatric Interview was conducted. Results: A total of 16.1% (n = 119) of the farmers presented symptoms of major depressive episodes, 5.8% (n = 43) presented symptoms of current depressive episodes, and 10.3% (n = 76) presented symptoms of recurrent major depressive episodes. Sociodemographic factors associated with depression were gender (p < 0.001), marital status (p = 0.004), and socioeconomic class (p = 0.015). The consumption of high doses of selenium was associated with a reduction of ~54% in the chances of occurrence of depression (OR = 0.461; 95% CI = 0.236-0.901). Conclusion: High selenium intake is associated with a lower prevalence of depression even after adjusting for sociodemographic variables, lifestyle, and pesticide intoxication. The findings of this study contributed to highlighting the high prevalence of depression in rural areas and its relationship with selenium intake.

Trends in the prevalence of overweight, obesity, and abdominal obesity among Chinese adults between 1993 and 2015

BACKGROUND

Most previous studies on trends in the prevalence of obesity or abdominal obesity in Chinese adults were based on regional data and/or short time intervals, and recent trends are not available. We aimed to examine the secular trends in the prevalence of overweight, obesity, and abdominal obesity among Chinese adults at the national level from 1993 to 2015.

METHODS

A total of 70,242 Chinese adults aged 18-80 years were from the cross-sectional surveys conducted from 1993 to 2015. According to the World Health Organization criteria, overweight was defined as body mass index (BMI) ≥23.0 kg/m² and <27.5 kg/m², and obesity was defined as BMI ≥27.5 kg/m². According to the International Diabetes Federation criteria, abdominal obesity was defined as waist circumference (WC) ≥90 cm for men and ≥80 cm for women. Mean values and prevalence of adiposity markers were standardized to the age distribution of the China population in 2010.

RESULTS

Between 1993 and 2015, and based on age-standardized values, mean BMI increased from 21.9 kg/m² in 1993 to 23.9 kg/m² (+2.0 kg/m²) in 2015 (P for trend < 0.001), and mean WC increased from 76.0 cm to 83.4 cm (+7.4 cm) (P for trend <0.001). From 1993 to 2015, the prevalence increased from 26.6% to 41.3% (+14.7%) for overweight, from 4.2% to 15.7% (+11.5%) for obesity, and from 20.2% to 46.9% (+26.7%) for abdominal obesity (all P for trends < 0.001). In multivariate linear regression analysis, time (calendar years), older age and urban regions were strongly and independently associated with BMI.

CONCLUSIONS

The prevalence of overweight, obesity, and abdominal obesity increased markedly among Chinese adults during the past two decades. Weight control programs and public health measures to address the societal causes of obesity should be strengthened.

Cardiovascular risk factors in a Brazilian rural population

Given the extensive costs due to cardiovascular diseases and the increased prevalence of these diseases in farmers, this study aims to estimate the prevalence of cardiovascular risk factors in this population and to evaluate their associated factors. A cross-sectional study was carried out involving 790 farmers from the municipality of Santa Maria de Jetibá-ES, Brazil. Six out of ten evaluated farmers had at least one cardiovascular risk factor (CRF). High blood pressure was the most prevalent risk factor in 35.8% (95%CI 32-39, n = 283) followed by dyslipidemia (34.4%, 95%CI 31-38, n = 272). Those aged more than 50 years were 5.6 times (95%CI 2.03-15.43) more likely to evidence two or more CRFs. High waist circumference or tricipital skinfold indicating overweight increased 2.35 times (95%CI 1.47-3.76) and 1.6 times (95%CI 1.05-2.44) this likelihood, respectively. These findings reveal the high prevalence of CRF in rural workers and the significant impact of age and the accumulation of body fat in the development of these factors, showing the need to intensify public health policies geared to this population.

Sociodemographic Determinants of Acute Myocardial Infarction Hospitalization Risks in Florida

Background Identifying social determinants of myocardial infarction (MI) hospitalizations is crucial for reducing/eliminating health disparities. Therefore, our objectives were to identify sociodemographic determinants of MI hospitalization risks and to assess if the impacts of these determinants vary by geographic location in Florida. Methods and Results This is a retrospective ecologic study at the county level. We obtained data for principal and secondary MI hospitalizations for Florida residents for the 2005-2014 period and calculated age- and sex-adjusted MI hospitalization risks. We used a multivariable negative binomial model to identify sociodemographic determinants of MI hospitalization risks and a geographically weighted negative binomial model to assess if the strength of associations vary by location. There were 645 935 MI hospitalizations (median age, 72 years; 58.1%, men; 73.9%, white). Age- and sex-adjusted risks ranged from 18.49 to 69.48 cases/10 000 persons, and they were significantly higher in counties with low education levels (risk ratio [RR]=1.033, P<0.0001) and high divorce rate (RR, 0.995; P=0.018). However, they were significantly lower in counties with high proportions of rural (RR, 0.996; P<0.0001), black (RR, 1.026; P=0.032), and uninsured populations (RR, 0.983; P=0.040). Associations of MI hospitalization risks with education level and uninsured rate varied geographically (P for non-stationarity test=0.001 and 0.043, respectively), with strongest associations in southern Florida (RR for <high school education, 1.036-1.041; RR for uninsured rate, 0.971-0.976). Conclusions Black race, divorce, rural residence, low education level, and lack of health insurance were significant determinants of MI hospitalization risks, but associations with the latter 2 were stronger in southern Florida. Thus, interventions for addressing MI hospitalization risks need to prioritize these populations and allocate resources based on empirical evidence from global and local models for maximum efficiency and effectiveness.

Mobile technology intervention for weight loss in rural men: protocol for a pilot pragmatic randomised controlled trial

INTRODUCTION

Men who are overweight or obese in the rural Midwestern USA are an unrepresented, at-risk group exhibiting rising rates of cardiovascular disease, poor access to preventive care and poor lifestyle behaviours that contribute to sedentary lifestyle and unhealthy diet. Self-monitoring of eating and activity has demonstrated efficacy for weight loss. Use of mobile technologies for self-monitoring eating and activity may address rural men's access disparities to preventive health resources and support weight loss. Our pilot trial will assess the feasibility and acceptability of two mobile applications for weight loss in rural men to inform a future, full-scale trial.

METHODS AND ANALYSIS

A 6-month randomised controlled trial with contextual evaluation will randomise 80 men using a 1:1 ratio to either a Mobile Technology Plus (MT+) intervention or a basic Mobile Technology (MT) intervention in rural, midlife men (aged 40-69 years). The MT+ intervention consists of a smartphone self-monitoring application enhanced with discussion group (Lose-It premium), short message service text-based support and Wi-Fi scale. The MT group will receive only a self-monitoring application (Lose-It basic). Feasibility and acceptability will be evaluated using number of men recruited and retained, and evaluative focus group feedback. We seek to determine point estimates and variability of outcome measures of weight loss (kg and % body weight) and improved dietary and physical activity behaviours (Behavioral Risk Factor Surveillance System (BRFSS) physical activity and fruit and vegetable consumption surveys, data from Lose-It! application (kcal/day, steps/day)). Community capacity will be assessed using standard best practice methods. Descriptive content analysis will evaluate intervention acceptability and contextual sensitivity.

ETHICS AND DISSEMINATION

This protocol was approved by the University of Nebraska Medical Center Institutional Review Board (IRB# 594-17-EP). Dissemination of findings will occur through ClinicalTrials.gov and publish pilot data to inform the design of a larger clinical trial.

TRIAL REGISTRATION NUMBER

NCT03329079; preresults. Protocol V.10, study completion date 31 August 2020. Roles and responsibilities funder: NIH/NINR Health Disparities Section 1R15NR017522-01.

Dietary patterns of Brazilian farmers and their relation with sociodemographic, labor, and lifestyle conditions

Background

The eating habits have changed in the last few decades, but few studies prioritize the food consumption of farmers and the rural population. Therefore, the objective of this study was explore the sociodemographic, occupational and lifestyle factors to the high adherence these dietary patterns.

Methods

This is a cross-sectional epidemiological study of 740 farmers (51.5%, n = 381 males; 48.5%, n = 359 females) from a municipality in Southeastern Brazil. Food intake data were obtained by applying multipass 24-h recall and dietary intake was presented in dietary patterns determined by Principal Component Analysis with varimax orthogonal rotation.

Results

Three dietary patterns were identified. The first pattern, “local traditional”, was associated with sociodemographic and labor variables, being considered typical of the region’s farmer as white race/color (p = 0.003), not extra-physical activity (p = 0.014) and cultivating 5 or more crops (p = 0.005). The permanence of a “traditional Brazilian” pattern and the occurrence of an “industrialized” pattern were also observed. Farmers working in non-conventional agriculture were 54% less adhere to “traditional Brazilian” pattern (OR 0.46, 95% CI 0.25–0.86, p = 0.014). Individuals aged 50 and over years were 82% less likely (OR 0.18, 95% CI 0.10–0.30) to adhere to “industrialized” pattern. Still, individuals of lower socioeconomic class were 52% less likely to adhere to this pattern (OR 0.48, 95% CI 0.24–0.96). Farmers who spent R$ 200 or more per capita to buy food were more than twice as likely to adhere to this food pattern (OR 2.22, 95% CI 1.32–3.73), and who had the habit of frequently eating out were 1.62 as likely adhere to “industrialized” pattern (95% CI 1.11–2.36).

Conclusions

The findings indicate changes in dietary patterns in rural areas of the country, maintaining a traditional Brazilian pattern, as well as a local and an industrialized pattern. This last pattern demonstrates that the contemporary rural population also opts for a diet with ultra-processed products, being associated with the characteristic habits of a more urbanized rural region.

Multimorbidity and complex multimorbidity in Brazilian rural workers

OBJECTIVE

To estimate the prevalence of multimorbidity and complex multimorbidity in rural workers and their association with sociodemographic characteristics, occupational contact with pesticides, lifestyle and clinical condition.

METHODS

This is a cross-sectional epidemiological study with 806 farmers from the main agricultural municipality of the state of Espírito Santo/Brazil, conducted from December 2016 to April 2017. Multimorbidity was defined as the presence of two or more chronic diseases in the same individual, while complex multimorbidity was classified as the occurrence of three or more chronic conditions affecting three or more body systems. Socio-demographic data, occupational contact with pesticides, lifestyle data and clinical condition data were collected through a structured questionnaire. Binary logistic regression was conducted to identify risk factors for multimorbidity.

RESULTS

The prevalence of multimorbidity among farmers was 41.5% (n = 328), and complex multimorbidity was 16.7% (n = 132). More than 77% of farmers had at least one chronic illness. Hypertension, dyslipidemia and depression were the most prevalent morbidities. Being 40 years or older (OR 3.33, 95% CI 2.06-5.39), previous medical diagnosis of pesticide poisoning (OR 1.89, 95% CI 1.03-3.44), high waist circumference (OR 2.82, CI 95% 1.98-4.02) and worse health self-assessment (OR 2.10, 95% CI 1.52-2.91) significantly increased the chances of multimorbidity. The same associations were found for the diagnosis of complex multimorbidity.

CONCLUSION

We identified a high prevalence of multimorbidity and complex multimorbidity among the evaluated farmers. These results were associated with increased age, abdominal fat, pesticide poisoning, and poor or fair health self-assessment. Public policies are necessary to prevent, control and treat this condition in this population.

Farming Related Trauma Injuries in Southern West Virginia With a Focus on Risks, Injury Trends, and Associated Co-morbidities

Background

The implementation of safety policies in farming-related injuries in West Virginia has been lacking. Farming-related injuries have resulted in massive injuries that have resulted in life long injuries and death. Therefore, this study aims to review 12 years of our level 1 trauma data and describe the incidence rate and patterns of priority-related farming injuries in West Virginia, as well as the specific co-morbidities and related injuries that might be more susceptible to damage.

Methods

We examined 82 cases of farm-related injuries that required trauma-priority related intervention from 2005 -2016. We harvested data from the Charleston Area Medical Center Trauma registry to investigate associated injuries. We defined farm equipment as any mechanical or automated tool used on a farm for related farm upkeep or farm-related activity. Multinomial logistic regression was used to understand the overall impact on the differing effects of years of injuries.

Results

The total number of farming-related injury cases was 82. The most statistically suggestive finding was those that had a positive narcotics urine test at (p= 0.062) (-.3230-12.82). Those with a history of CHF (congestive heart failure) also had a significant statistical relationship at (p=0.001) (-5.477-1.394). Alcohol use disorder was also a significant statistical relationship (p=0.012) (-5.127--.6728). The most common injuries were concussions at 18 % ( 15/82) followed by rib fractures at 17 % ( 14/82).

Conclusion

Farming-related injuries appear to have increased risks on specific body and organ systems, as described in our initial data analysis. Specific co-morbidities also have been documented to show a higher risk of injury and would need further investigation. Specific years show a higher prevalence of farming injuries compared to other years. Further research is needed to explore these underlying findings.

Prevalence of obesity in rural and urban areas in Brazil: National Health Survey, 2013

OBJECTIVE

To investigate the role of the domiciliary situation in the prevalence of general and abdominal obesity through the National Health Survey of 2013.

METHODOLOGY

General obesity (body mass index ≥ 30 kg/m2) and abdominal obesity (waist circumference ≥ 102 cm in men and ≥ 88 cm in women) in rural and urban areas were described according to sex and macroregion. Crude and adjusted Poisson regression models were used to test the association between obesity and household situation, with the significance level of 5%.

RESULTS

The study included 59,226 individuals. Out of these, 20.7% presented general obesity and 38% abdominal obesity (higher in women: 24.3 and 52%, respectively). The highest prevalences of general obesity were observed in southern urban areas, for both sexes (20.8% in men and 26.5% in women). In rural areas, the highest prevalences were observed for the central-west region (17.2%) in men and in the south region (27.4%) in women. In males, after adjusting for demographic variables, living in rural areas was associated with lower prevalences of general obesity in the North (prevalence ratios - PR = 0.60; confidence interval of 95% - 95%CI 0.40 - 0.89) and Northeast (PR = 0.47, 95%CI 0,38 - 0.59), and for abdominal obesity in all regions. For women in the Midwest, the rural household situation was associated with lower prevalences of obesity. (PR = 1.11, 95%CI 1.01 - 1.23).

CONCLUSIONS

The results evidenced the role of the domiciliary situation among outcomes at the national level, with lower prevalence of general and abdominal obesity in men living in rural areas. However, higher prevalences were found among women, especially for abdominal obesity.

Poor sleep quality is associated with obesity and depression in farmers

BACKGROUND

Farmers' work schedules can result in inconsistent sleep patterns which negatively impact health.

PURPOSE

To explore the relationships between sleep, obesity, and depression in working, older farmers and their spouses. Covariates included body mass index (BMI), age, and gender.

METHODS

Sleep quality, BMI, and depression were assessed in farmers (n = 1,394) 50 years and older. Bivariate associations among all covariates (i.e., age, gender, BMI, sleep) and dependent variable (i.e., depression) were analyzed using Pearson's correlation. Multivariable associations of the Center for Epidemiologic Studies Depression Scale (CESD). BMI with other study variables were assessed using linear regression.

RESULTS

BMI was positively associated with sleep apnea symptoms (p ≤ 0.0001) and CESD scores (p = 0.0006). Participants with difficulty falling asleep were more likely to have poor sleep quality (p ≤ 0.0001) and higher CESD scores (p ≤ 0.0001). Poor sleep quality was associated with higher CESD scores (p ≤ 0.0001). Increased age, female gender, higher BMI, sleep apnea symptoms, and poorer sleep quality were all predictive of higher depressive symptoms.

DISCUSSION

Farmers have unique lifestyles that increase the risk of poor sleep. Screening for sleep pattern disruption and understanding its impact could result in lower rates of depression and obesity in this group of high-risk individuals.

Physical activity and common tasks of California farm workers: California Heat Illness Prevention Study (CHIPS)

Farm workers are at risk of heat related illness (HRI), but their work rates that contribute to HRI have not been objectively assessed. The CHIPS study collected accelerometer data and characterized the physical activity of major farm tasks. Demographic information, work characteristics, and accelerometer data were collected from 575 farm workers in California. Each participating worker contributed measurements over one work shift. An Actical accelerometer was attached securely to a belt worn at the hip. Data were collected at one-minute intervals throughout the work shift. A total of 13 major work-task categories were defined. The mean physical activity counts per minute (cpm) and percentage of the shift spent at moderate and/or vigorous levels of activity were described for each task. Multiple linear regression models were constructed to determine the worker and environmental characteristics contributing to the physical activity level. Mean levels of physical activity ranged from 700 cpm (workers who carry produce) to a low of 150 cpm "ground pruners" who tend low-level plants, with an overall mean of 345 cpm or "light" activity (2 to ≤3 metabolic equivalents). The environmental temperature was the major factor associated with physical activity. A 10°C increase in the median temperature reduced the mean cpm by 135 (95% CI = 87, 193). Age and the tasks of sorting, ground pruning, and harvesting low-level crops were also negatively and independently associated with mean cpm. Incentivized (piece rate) pay, multi-task work, and irrigator work were positively associated with cpm. An interaction was found between piece rate and sex. Men's activity significantly increased (p < 0.001) by a mean of 95 cpm, (95% CI = 38.3, 150.7) if they were paid by the piece, but there was a non-significant association with women's activity level. Workers conducting multiple tasks, irrigators, men, and those earning incentivized (piece rate) pay had higher adjusted mean physical activity levels and are likely at increased risk of heat-related illness on hot days.

Low risk for hip fracture and high risk for hip arthroplasty due to osteoarthritis among Swedish farmers

We aimed to study the risk of hip fracture and risk of hip arthroplasty among farmers in Sweden. Our results indicate that farming, representing an occupation with high physical activity, in men is associated with a lower risk of hip fracture but an increased risk of hip arthroplasty.

INTRODUCTION

The risks of hip fracture and hip arthroplasty are influenced by factors including socioeconomic status, education, urbanization, latitude of residence, and physical activity. Farming is an occupation encompassing rural living and high level of physical activity. Therefore, we aimed to study the risk of hip fracture and risk of hip arthroplasty among farmers in Sweden.

METHODS

We studied the risk of hip fracture, and hip arthroplasty due to primary osteoarthritis, in all men and women aged 35 years or more in Sweden between 1987 and 2002. Documented occupations were available in 3.5 million individuals, of whom 97,136 were farmers. The effects of age, sex, income, education, location of residence, and occupation on risk of hip fracture or hip arthroplasty were examined using a modification of Poisson regression.

RESULTS

A total of 4027 farmers and 93,109 individuals with other occupations sustained a hip fracture, while 5349 farmers and 63,473 others underwent a hip arthroplasty. Risk of hip fracture was higher with greater age, lower income, lower education, higher latitude, and urban area for all men and women. Compared to all other occupations, male farmers had a 20% lower age-adjusted risk of hip fracture (hazard ratio (HR) 0.80, 95%CI 0.77-0.84), an effect that was not seen in female farmers (HR 0.96, 95% CI 0.91-1.01). Both male and female farmers had a higher age-adjusted risk for hip arthroplasty.

CONCLUSIONS

Our results indicate that farming, representing an occupation with high physical activity, in men is associated with a lower risk of hip fracture but an increased risk of hip arthroplasty.

Investigating the Association Between Lower Extremity and Low Back Symptoms Among Saskatchewan Farmers Using the Standardized Nordic Questionnaire

STUDY DESIGN

Cross-sectional survey.

OBJECTIVE

The aim of this study was to investigate the association between self-reported low back symptoms and symptoms in the hip, knee, and ankle in a high-risk occupational group.

SUMMARY OF BACKGROUND DATA

Low back pain, with or without lower extremity referral, poses a major challenge to occupational productivity, especially in farming. Although low back symptoms can occur independent of lower extremity symptoms, anatomical positioning of nerves supplying the lower limbs means structural and physiological changes in the spine can lead to referred pain in the lower limbs, but the magnitude of the association between low back and lower extremity symptoms is unclear.

METHODS

Baseline postal questionnaire data from the Saskatchewan Farm Injury Cohort Study yielded surveys from 2653 adults from 1020 farms, who responded to Standardized Nordic Questionnaire (SNQ) items on "ache, pain, discomfort" in nine body parts during the last 12 months. Bivariate and multivariate regression modeling was performed with low back symptoms as the outcome and lower extremity symptoms as the independent variable.

RESULTS

After adjustment for age, sex, depression, and heavy lifting, low back symptom was significantly related with hip pain (odds ratio [OR] = 3.84, 95% confidence interval [CI] 3.04-4.84), knee pain (OR = 1.84, 95% CI 1.49-2.28), and ankle pain (OR = 1.79, 95% CI 1.40-2.29). Results showed a significant but decreasing relationship to low back symptoms as sites became more distal.

CONCLUSION

Hip and low back symptoms are highly associated, suggesting a common mechanism may be at work. Although there appears be increased risk of knee and ankle region symptoms among those with back pain, the SNQ is not designed to differentiate types of referred symptoms (i.e., numbness, tingling, shooting pain) and/or clinical diagnoses. Other tools, possibly corroborated with clinical examination findings, are likely necessary for a more thorough investigation of referred pain patterns in this high-risk occupational group.

LEVEL OF EVIDENCE

3.

Identifying and mitigating risks for agricultural injury associated with obesity

In some occupational contexts overweight and obesity have been identified as risk factors for injury. The purpose of this study was to examine this hypothesis within farm work environments and then to identify specific opportunities for environmental modification as a preventive strategy. Data on farm-related injuries, height and weight used to calculate body mass index (BMI), and demographic characteristics were from the Phase 2 baseline survey of the Saskatchewan Farm Injury Cohort; a large cross-sectional mail-based survey conducted in Saskatchewan, Canada from January through May 2013. Multivariable logistic regression was used to examine associations between BMI and injury. Injury narratives were explored qualitatively. Findings were inconsistent and differed according to gender. Among women (n = 927), having overweight (adjusted OR: 2.94; 95% CI: 1.29 to 6.70) but not obesity (1.10; 95% CI: 0.35 to 3.43) was associated with an increased odds of incurring a farm-related injury. No strong or statistically significant effects were observed for men (n = 1406) with overweight or obesity. While injury-related challenges associated with obesity have been addressed in other occupational settings via modification of the worksite, such strategies are challenging to implement in farm settings because of the diversity of work tasks and associated hazards. We conclude that the acute effects of overweight in terms of injury do require consideration in agricultural populations, but these should also be viewed with a differentiation based on gender.

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Obesity can increase risk for injury through biological and physical mechanisms.

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Associations between BMI status and agricultural injury were examined.

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Findings were inconsistent and differed according to gender.

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Overweight is a potential risk factor for injury, specifically in farm women.

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We suggest ergonomic modifications that are potentially effective for farm settings.