Background: Many tasks in industrial and health care setting are involved with pushing and pulling tasks up or down on a ramp. An efficient method of moving cart which reduces the risk of low back pain should be concerned. This study aimed to investigate the effects of handling types (HTs) and slope on lumbar spinal load during moving a cart on a ramp. We conducted a 2 × 2 × 4 factorial design with three main factors: 2 HTs, 2 handling directions of moving a cart and 4 degrees of ramp slope. Methods: Thirty healthy male workers performed 14 tasks consist of moving a cart up and down on the ramp of 0°, 10°, 15°, and 20° degrees with pushing and pulling methods. Joint angles from a 3D motion capture system combined with subject height, body weight, and hand forces were used to calculate the spinal load by the 3DSSPP program. Results: Our results showed significant effect of HT, handling directions and slope on compression and shear force of the lumbar spine (p < 0.001). When the ramp gradient increased, the L4/5 compression forces increased in both pushing and pulling (p < 0.001) Shear forces increased in pulling and decreased in pushing in all tasks. At high slopes, pulling generated more compression and shear forces than that of pushing (p < 0.01). Conclusion Using the appropriate technique of moving a cart on the ramp can reduce the risk of high spinal load, and the pushing is therefore recommended for moving a cart up/down on ramp gradients.

Objectives: The International Classification of Functioning, Disability, and Health (ICF) model provides a comprehensive framework for understanding health and quality of life (QoL) in older adults in both rural and urban settings, each presenting unique advantages and challenges. This study aimed to explore the relationship between factors based on the ICF model and QoL among older residents of these areas. Methods: A cross-sectional study was conducted, involving 286 older adults aged 60 years or older from rural and urban areas of Surakarta, Central Java, Indonesia. The WHOQoL-BREF was utilized to assess QoL. The co-factors included personal factors, impairments, and activity limitations. Results: Multiple linear regression analysis indicated that cardiovascular endurance was the strongest significant factor associated with QoL in rural areas (B=0.027, standard error [SE]=0.013, p=0.050). In urban areas, gender emerged as the most significant factor influencing QoL (B=-13.447, SE=2.360, p<0.001), followed by hemoglobin level (B=-1.842, SE=0.744, p=0.015), age (B=-0.822, SE=0.217, p<0.001), and cognitive function (B=0.396, SE=0.162, p=0.016). Conclusions Efforts to improve QoL for older adults in rural areas should focus on enhance physical performance through exercise. In urban areas, the maintenance of QoL is influenced by personal factors. It is crucial to address physical performance through exercise to enhance QoL in rural settings. Meanwhile, focusing on mental health, financial security, and social connections is recommended to improve QoL for older adults in urban areas.

Objectives: The International Classification of Functioning, Disability, and Health (ICF) model provides a comprehensive framework for understanding health and quality of life (QoL) in older adults in both rural and urban settings, each presenting unique advantages and challenges. This study aimed to explore the relationship between factors based on the ICF model and QoL among older residents of these areas. Methods: A cross-sectional study was conducted, involving 286 older adults aged 60 years or older from rural and urban areas of Surakarta, Central Java, Indonesia. The WHOQoL-BREF was utilized to assess QoL. The co-factors included personal factors, impairments, and activity limitations. Results: Multiple linear regression analysis indicated that cardiovascular endurance was the strongest significant factor associated with QoL in rural areas (B=0.027, standard error [SE]=0.013, p=0.050). In urban areas, gender emerged as the most significant factor influencing QoL (B=-13.447, SE=2.360, p<0.001), followed by hemoglobin level (B=-1.842, SE=0.744, p=0.015), age (B=-0.822, SE=0.217, p<0.001), and cognitive function (B=0.396, SE=0.162, p=0.016). Conclusions Efforts to improve QoL for older adults in rural areas should focus on enhance physical performance through exercise. In urban areas, the maintenance of QoL is influenced by personal factors. It is crucial to address physical performance through exercise to enhance QoL in rural settings. Meanwhile, focusing on mental health, financial security, and social connections is recommended to improve QoL for older adults in urban areas.

Objectives: The International Classification of Functioning, Disability, and Health (ICF) model provides a comprehensive framework for understanding health and quality of life (QoL) in older adults in both rural and urban settings, each presenting unique advantages and challenges. This study aimed to explore the relationship between factors based on the ICF model and QoL among older residents of these areas. Methods: A cross-sectional study was conducted, involving 286 older adults aged 60 years or older from rural and urban areas of Surakarta, Central Java, Indonesia. The WHOQoL-BREF was utilized to assess QoL. The co-factors included personal factors, impairments, and activity limitations. Results: Multiple linear regression analysis indicated that cardiovascular endurance was the strongest significant factor associated with QoL in rural areas (B=0.027, standard error [SE]=0.013, p=0.050). In urban areas, gender emerged as the most significant factor influencing QoL (B=-13.447, SE=2.360, p<0.001), followed by hemoglobin level (B=-1.842, SE=0.744, p=0.015), age (B=-0.822, SE=0.217, p<0.001), and cognitive function (B=0.396, SE=0.162, p=0.016). Conclusions Efforts to improve QoL for older adults in rural areas should focus on enhance physical performance through exercise. In urban areas, the maintenance of QoL is influenced by personal factors. It is crucial to address physical performance through exercise to enhance QoL in rural settings. Meanwhile, focusing on mental health, financial security, and social connections is recommended to improve QoL for older adults in urban areas.