The forest plot of subgroup analysis. by Hai-bo Ai (20790405)

Predictors used in the modelling analysis. The ‘Snail count’ model refers to the Generalised Linear Mixed Model (GLMM) used to model snail counts, ‘Prevalence’ refers to the diseas... by Roland Proud (11764892)

Gender-specific incidence trends of HFMD in Guangzhou from 2013 to 2023. by Haipeng Luo (5322419)

The relationship between longer TV watching time and risk of cognitive impairment. by Hattapark Dejakaisaya (22238613)

The results of curve fitting analysis. by Hai-bo Ai (20790405)

Craniocaudal impulses of fore- and hindlimbs at three bar heights during take-off. by Leena Inkilä (20614460)

Non-linear associations between serum manganese with chronic kidney disease: results from two nationwide studies in the United States and China by Jiliang Zhang (1500367)

“…</p> <p>The higher Mn concentration was significantly associated with a lower prevalence of CKD through different non-linear patterns.…”

Fig 4 - by Leena Inkilä (20614460)

BMI groups by SES. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

BMISES_Data_Part2. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

Logistic regression for LSES population. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

Logistic regression for HSES population. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

Logistic regression for overall population. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

BMISES_Data_Part1. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

Baseline characteristics of HSES/LSES population. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

Baseline characteristics of overall population. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

Diagram of study population. by Krystal Hunter (6820052)

“…We also found that the relationship between BMI and PTB was not linear but curvilinear, bridging the gap in the conclusions of other studies. …”

Data Sheet 6_Effects of aging on otolith morphology and functions in mice.xlsx by Keita Ueda (19855536)

“…Background<p>Increased fall risk caused by vestibular system impairment is a significant problem associated with aging. A vestibule is composed of linear acceleration-sensing otoliths and rotation-sensing semicircular canals. …”

Data Sheet 2_Effects of aging on otolith morphology and functions in mice.xlsx by Keita Ueda (19855536)

“…Background<p>Increased fall risk caused by vestibular system impairment is a significant problem associated with aging. A vestibule is composed of linear acceleration-sensing otoliths and rotation-sensing semicircular canals. …”

Data Sheet 7_Effects of aging on otolith morphology and functions in mice.xlsx by Keita Ueda (19855536)

“…Background<p>Increased fall risk caused by vestibular system impairment is a significant problem associated with aging. A vestibule is composed of linear acceleration-sensing otoliths and rotation-sensing semicircular canals. …”