Risk Factors for Occupational Falls among Middle-aged and Elderly Farm Workers in Nan Province, Thailand

Arphorn, Sara; Ishimaru, Tomohiro; Lertvarayut, Teepapipat; Kiatkitroj, Kanpitcha; Theppitak, Chalermsiri; Manothum, Aniruth; Hara, Kunio

doi:10.1080/1059924x.2022.2040071

Cited by 4 publications

(6 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Contrary to our hypothesis, we found no effect of the degree of obesity or relative backpack weight on the risk of falls on Mount Fuji. Previous studies have reported that obesity is associated with a greater rate of slipping and falling, 4,35 which was not in agreement with our results. However, a previous study reported that individuals with a BMI of ≥30 kg/m 2 were 3 times more likely to experience falls than those with a BMI of <25 kg/m 2 .…”

Section: Discussioncontrasting

confidence: 99%

“…However, a previous study reported that individuals with a BMI of ≥30 kg/m 2 were 3 times more likely to experience falls than those with a BMI of <25 kg/m 2 . 35 Yet, these BMI values in the previous study 35 are quite greater than those in people who experienced falls in the present study (mean BMI, 22.9 kg/m 2 for men and 20.8 kg/m 2 for women; Table 3). In addition, it is unlikely that populations without obesity in the present study may not have had an experience of the risk of falls.…”

Section: Discussioncontrasting

confidence: 62%

See 1 more Smart Citation

Different Influencing Factors for Risk of Falls Between Men and Women while Descending from Mount Fuji

Uno¹,

Mitsui²,

Watanabe³

et al. 2023

Wilderness & Environmental Medicine

View full text Add to dashboard Cite

Introduction-Annually, approximately 250,000 people climb Mount Fuji in Japan. Nonetheless, only few studies have examined the prevalence of falls and related factors on Mount Fuji.Methods-We conducted a questionnaire survey of 1061 participants (703 men and 358 women) who had climbed Mount Fuji. The following information was collected: age, height, body weight, luggage weight, experience on Mount Fuji, experience on other mountains, presence or absence of a tour guide, single-day climber or overnight-stay lodger, information on the downhill trail (volcanic gravel, long distance, and the risk of falls), presence or absence of trekking poles, shoe type, shoe sole condition, and fatigue feeling.Results-The fall rate in women (174/358; 49%) was greater than that in men (246/703; 35%). A prediction model using multiple logistic regression (no fall, 0; fall, 1) indicated that the following factors decreased the risk of falls: male sex, younger age, previous experience on Mount Fuji, having information about long-distance downhill trails, wearing hiking shoes or mountaineering boots rather than other types of shoes (eg, running shoes, sneakers) or worn-out shoes, and not feeling fatigued. Additionally, the following factors may decrease the risk of falls in women only: experience hiking on any other mountains, not being part of a guided tour, and using trekking poles.Conclusions-Women had a higher risk of falls on Mount Fuji than men. Specifically, having less experience on any other mountains, being part of a guided tour, and nonuse of trekking poles may relate to higher risks of falls in women. These results suggest that different precautionary measures for men and women are useful.

show abstract

Section: Discussioncontrasting

confidence: 99%

Section: Discussioncontrasting

confidence: 62%

Different Influencing Factors for Risk of Falls Between Men and Women while Descending from Mount Fuji

Uno¹,

Mitsui²,

Watanabe³

et al. 2023

Wilderness & Environmental Medicine

View full text Add to dashboard Cite

show abstract

“…It has been proven that NO 2 , SO 2 , and CO emissions are connected to an increased prevalence of lung and cardiovascular disease infections [62]. Nonetheless, the present findings reflect no significant correlation between CO and SO 2 and the cumulative cases of COVID-19.…”

Section: Relationship Between Air Quality Meteorological Factors and ...contrasting

confidence: 69%

The Impact of Air Quality and Meteorology on COVID-19 Cases at Kuala Lumpur and Selangor, Malaysia and Prediction Using Machine Learning

et al. 2023

View full text Add to dashboard Cite

Emissions from motor vehicles and industrial sources have contributed to air pollution worldwide. The effect of chronic exposure to air pollution is associated with the severity of the COVID-19 infection. This ecological investigation explored the relationship between meteorological parameters, air pollutants, and COVID-19 cases among residents in Selangor and Kuala Lumpur between 18 March and 1 June in the years 2019 and 2020. The air pollutants considered in this study comprised particulate matter (PM2.5, PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), ozone (O3), and carbon monoxide (CO), whereas wind direction (WD), ambient temperature (AT), relative humidity (RH), solar radiation (SR), and wind speed (WS) were analyzed for meteorological information. On average, air pollutants demonstrated lower concentrations than in 2019 for both locations except PM2.5 in Kuala Lumpur. The cumulative COVID-19 cases were negatively correlated with SR and WS but positively correlated with O3, NO2, RH, PM10, and PM2.5. Overall, RH (r = 0.494; p < 0.001) and PM2.5 (r = −0.396, p < 0.001) were identified as the most significant parameters that correlated positively and negatively with the total cases of COVID-19 in Kuala Lumpur and Selangor, respectively. Boosted Trees (BT) prediction showed that the optimal combination for achieving the lowest Root Mean Squared Error (RMSE), Mean Squared Error (MSE), and Mean Absolute Error (MAE) and a higher R-squared (R2) correlation between actual and predicted COVID-19 cases was achieved with a learning rate of 0.2, a minimum leaf size of 7, and 30 learners. The model yielded an R2 value of 0.81, a RMSE of 0.44, a MSE of 0.19, and a MAE of 0.35. Using the BT predictive model, the number of COVID-19 cases in Selangor was projected with an R2 value of 0.77. This study aligns with the existing notion of connecting meteorological factors and chronic exposure to airborne pollutants with the incidence of COVID-19. Integrated governance for holistic approaches would be needed for air quality management post-COVID-19 in Malaysia.

show abstract

“…Plantar stimulation affects vergence eye movements and reduces sensitivity from the plantar to visual inputs in obese individuals, which may affect the vergence system [37]. Arphorn et al found that the likelihood of occupational falls increased by 3.05 times in individuals with BMI ≥ 30 kg/m 2 compared to those with BMI < 25 kg/m 2 [39]. High BMI could cause strength deficits, as individuals with a BMI > 35.0 kg/ m 2 had up to 63.1% lower joint strength compared to those in other BMI categories [40].…”

Section: Discussionmentioning

confidence: 99%

Binocular vision parameters and body mass index

Elangovan¹,

Shanmugham²

2023

Med Hypothesis Discov Innov Optom

View full text Add to dashboard Cite

Background: Abnormal body mass Index (BMI) can adversely affect binocular vision. We aimed to assess the presence of possible differences in binocular vision parameters among the four BMI categories. Methods: In this comparative cross-sectional study, we enrolled young adults and categorized them into underweight, normal weight, overweight, and obese groups based on their BMI. A complete orthoptic evaluation was performed to assess the mean values of binocular vision skills. Results: We recruited 120 participants with a mean (standard deviation) age of 21.30 (1.80) years with best-corrected distance and near visual acuities of 6/6 and N6, respectively. The frequency of exophoria > 4 PD was high in the obese group. The frequency of binocular vision dysfunction was higher in the obese and underweight groups, with vergence dysfunction being the most common. The mean values for near negative fusional vergence (NFV), distance positive fusional vergence (PFV), negative relative accommodation, positive relative accommodation, monocular accommodation facility (AF), and monocular estimation method were comparable among the groups (all P > 0.05). The obese group had significantly receded near point of convergence, and reduced accommodative convergence to accommodation ratio and binocular AF than the normal, overweight, and underweight groups (all P < 0.05). The distance and near vergence facilities were significantly lower in the obese group than in the overweight and normal groups, and the distance vergence facility was significantly lower than in the underweight group (all P < 0.05). The mean values of distance NFV and near PFV in the obese group were significantly lower compared to the normal and overweight groups, and the mean values of distance NFV were significantly lower compared to the underweight group (all P < 0.05). The mean values of near PFV were significantly lower in the underweight group than in the overweight group (both P < 0.05). Both the underweight and obese groups had a significantly lower amplitude of accommodation compared to the normal group (both P < 0.05). Conclusions: The frequency of binocular vision dysfunction was higher in the obese and underweight groups. Most convergence and some accommodation parameters were adversely affected in individuals with obesity. Being underweight adversely affects certain binocular vision skills. Further studies are required to determine the relevance of BMI as a predictor of binocular vision abnormalities.

show abstract

Risk Factors for Occupational Falls among Middle-aged and Elderly Farm Workers in Nan Province, Thailand

Cited by 4 publications

References 36 publications

Different Influencing Factors for Risk of Falls Between Men and Women while Descending from Mount Fuji

Different Influencing Factors for Risk of Falls Between Men and Women while Descending from Mount Fuji

The Impact of Air Quality and Meteorology on COVID-19 Cases at Kuala Lumpur and Selangor, Malaysia and Prediction Using Machine Learning

Binocular vision parameters and body mass index

Contact Info

Product

Resources

About