Which of the following was a significant cause of the trend from 1755 to 1762 shown in the table?

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Page 2

The age-standardized point prevalence of low back pain in 1990 and 2017, by region and gender

RegionGender1990 (%)2017 (%)Difference** (%)
MeanLUIUUIRank*MeanLUIUUIRank*
Andean Latin AmericaMale7.656.898.448.317.459.190.66
Female7.366.618.227.877.088.770.50
Both7.506.768.33138.087.268.94130.58
AustralasiaMale11.6010.5212.7911.9910.7313.380.39
Female13.1111.8614.5413.8412.4115.310.73
Both12.3811.2213.63312.9411.6314.3240.56
CaribbeanMale5.324.795.895.284.775.85−0.04
Female6.155.496.816.035.516.65−0.12
Both5.755.156.36195.675.166.2619−0.08
Central AsiaMale9.218.2710.239.148.2210.17−0.07
Female9.118.1610.189.118.1110.180.01
Both9.178.2410.21109.138.1610.2010−0.04
Central EuropeMale12.4011.1613.7912.5111.3413.770.11
Female12.4711.1513.8912.5711.3713.860.10
Both12.4611.1813.86212.5711.3813.8550.11
Central Latin AmericaMale4.684.155.244.884.375.410.20
Female6.435.737.176.285.616.95−0.15
Both5.594.976.20205.625.026.23200.03
Central Sub-Saharan AfricaMale8.787.789.828.947.959.990.16
Female7.756.908.697.876.998.820.12
Both8.247.309.23118.407.489.39120.16
East AsiaMale4.163.614.723.443.023.85−0.72
Female5.704.916.564.383.874.89−1.32
Both4.944.275.63213.923.464.3721−1.02
Eastern EuropeMale11.5610.2612.9510.529.3711.78−1.04
Female11.4010.1012.7410.599.4711.79−0.81
Both11.4810.2012.77610.579.4011.798−0.91
Eastern Sub-Saharan AfricaMale8.107.238.998.527.609.490.43
Female6.435.747.206.655.907.420.22
Both7.256.468.09157.566.738.42150.31
High-income Asia PacificMale10.259.1211.5111.4510.1912.831.20
Female14.4212.8016.1814.9013.2716.800.48
Both12.3611.0213.84413.1611.7414.7320.80
High-income North AmericaMale10.399.3711.499.809.2010.42−0.59
Female12.2111.0313.4411.5510.8512.28−0.66
Both11.3610.2412.54710.7110.0611.397−0.65
North Africa and Middle EastMale8.968.069.909.098.1410.010.13
Female10.759.6211.9410.749.6111.97−0.01
Both9.858.8410.9099.908.8610.9890.06
OceaniaMale5.895.216.576.205.506.980.31
Female6.896.107.757.236.418.110.34
Both6.375.677.11186.705.957.53160.33
South AsiaMale5.725.066.435.054.505.65−0.67
Female7.446.628.337.076.317.89−0.37
Both6.545.817.32176.065.406.7518−0.48
Southeast AsiaMale7.336.618.107.727.058.420.39
Female7.526.798.297.787.078.520.25
Both7.436.718.21147.767.088.49140.32
Southern Latin AmericaMale11.9810.5913.5413.2511.8614.641.27
Female12.6411.2214.1113.6612.2615.181.02
Both12.3310.9713.85513.4712.0914.8911.13
Southern Sub-Saharan AfricaMale8.117.259.037.406.628.25−0.70
Female5.975.326.655.534.956.11−0.44
Both6.996.257.75166.425.757.1217−0.57
Tropical Latin AmericaMale10.559.4211.8011.3710.1412.690.82
Female12.0210.7113.4311.5110.2912.78−0.52
Both11.3210.1112.60811.4510.2212.7460.13
Western EuropeMale12.2911.0813.6312.0210.8213.31−0.27
Female14.0512.6915.4914.1312.7415.620.08
Both13.2411.9514.63113.1211.8114.503−0.13
Western Sub-Saharan AfricaMale8.797.869.789.318.3610.320.52
Female7.656.868.508.277.429.120.62
Both8.237.409.18128.767.899.70110.53
GloballyMale7.476.678.316.946.247.67−0.53
Female8.867.909.828.017.228.84−0.85
Both8.207.319.107.506.758.27−0.70