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Table 4 Multiple regression analysis between oral health and nutritional status

From: Oral health and nutrition: addressing disparities in socioeconomically disadvantaged older adults in rural China

Variables

MNA-SF score

Panel A

(1)

(2)

OHIP-5 score

-0.046*

(0.023)

OHIP-5 count

-0.117*

(0.059)

鈥僁ifficulty chewing (frequent)

-0.099

(0.067)

鈥僁ifficulty chewing (1鈥=鈥塧ny symptoms)

-0.177

(0.171)

鈥働ainful aching (frequent)

-0.111

(0.084)

鈥働ainful aching (1鈥=鈥塧ny symptoms)

-0.332

(0.223)

鈥僓ncomfortable to eat (frequent)

-0.204*

(0.078)

鈥僓ncomfortable to eat (1鈥=鈥塧ny symptoms)

-0.480*

(0.201)

鈥僒aste worse (frequent)

-0.139

(0.100)

鈥僒aste worse (1鈥=鈥塧ny symptoms)

-0.236

(0.272)

鈥僁ifficulty doing jobs (frequent)

-0.155

(0.098)

鈥僁ifficulty doing jobs (1鈥=鈥塧ny symptoms)

-0.385

(0.252)

Total number of missing teeth

-0.041***

(0.011)

Tooth loss (1鈥=鈥塻evere)

-0.567**

(0.208)

Number of missing teeth not replaced with dentures

-0.026*

(0.011)

Tooth loss not replaced with dentures (1鈥=鈥塻evere)

-0.394

(0.216)

  1. Notes: OHIP-5: 5-item Oral Health Impact Profile; MNA-SF: Short-Form Mini Nutritional Assessment. In Column (1), the independent variables used continuous variables. In Column (2), the independent variables used categorical variables for robust check. Gender, age, prior stable partnership status, literate, care arrangements, family poverty status, pension coverage, chronic disease, disability, smoking, and drinking were controlled in the analysis. Cluster effect at the village level. Standard errors in parentheses. * p鈥<鈥0.05, ** p鈥<鈥0.01, *** p鈥&濒迟;鈥0.001