Emotions deteriorate gastrointestinal health: Diagnosing problems through artificial intelligence and psychometric and psycholinguistic techniques

Table 1 Demographics

Factors	Number (n = 250)	Frequency, %
Age
18-23	65	26.0
23-27	83	33.2
28-35	58	23.2
35-40	44	17.6
Gender
Female	143	57.2
Male	107	42.8
Study level
Bachelors	157	62.8
Masters	93	37.2
Residency
Peri urban	93	37.2
Urban	157	62.8
Total	250	100
Marital status
Married	99	39.6
Unmarried	143	57.2
Unknown	8	3.2
Total	250	100

Table 2 Cronbach’s alpha, composite reliability, and average variance extracted for each latent construct

Number	Variable name	Cronbach’s alpha	CR	AVE
1	Coping strategies	0.794	0.902	0.592
2	Generalized health deterioration	0.771	0.882	0.557
3	Language attitude	0.872	0.928	0.604
4	Negative emotional expression	0.864	0.845	0.534
5	Positive emotional expression	0.880	0.898	0.665
6	Quality of life	0.948	0.846	0.576
7	Resilience	0.750	0.952	0.627

CR: Composite reliability; AVE: Average variance extracted.

Table 3 Path coefficients, t-values, and P-values for variable relationships in the statistical model

Number	Variable name	Path coefficients	t values	P values
1	Coping strategies affects quality of life	0.044	3.855	0.000
3	Language attitude affects quality of life	0.693	9.161	0.000
4	Negative emotional expression affects quality of life	-0.112	2.191	0.029
5	Positive emotional expression affects quality of life	0.243	3.258	0.001
6	Quality of life affects gastrointestinal health	0.035	14.526	0.000
7	Resilience affects quality of life	-0.144	7.466	0.000
8	Resilience × negative emotional expression	0.062	7.521	0.000
9	Coping strategies × negative emotional expression	-0.014	12.450	0.000