| Literature DB >> 31934426 |
Claude-Hélène Mayer1, Lynette Louw1, Hartmut von der Ohe2.
Abstract
BACKGROUND: Mental health and salutogenesis are important topics at universities in China and Germany where heightening stress levels in students can be observed. AIM: The aim of this article is to determine the profile of the salutogenic concept, sense of coherence (SOC), in Chinese and German students to provide new insights into SOC and mental health in Chinese and German students in higher education institutions (HEIs).Entities:
Keywords: Chinese students; German students; health; salutogenesis; sense of coherence
Year: 2019 PMID: 31934426 PMCID: PMC6917389 DOI: 10.4102/hsag.v24i0.1151
Source DB: PubMed Journal: Health SA ISSN: 1025-9848
Gender distribution of sample.
| Nationality | Gender | Count | Valid percentage (%) | Percentage of total female and male (%) | Percentage of total (%) |
|---|---|---|---|---|---|
| China | Female | 43 | 17.6 | 38.1 | 12.5 |
| Male | 202 | 82.4 | 87.1 | 58.6 | |
| Germany | Female | 70 | 70.0 | 61.9 | 20.3 |
| Male | 30 | 30.0 | 12.9 | 8.7 | |
Missing: China n = 10; Germany n = 1.
Reliability statistics for the sense of coherence dimension sub-scales.
| SOC sub-scales | Chinese students: Cronbach’s α | German students: Cronbach’s α | Total sample: Cronbach’s α | Number of items |
|---|---|---|---|---|
| Comprehensibility | 0.551 | 0.699 | 0.607 | 11 |
| Manageability | 0.607 | 0.680 | 0.648 | 10 |
| Meaningfulness | 0.719 | 0.671 | 0.765 | 8 |
| LOQ total | 0.775 | 0.815 | 0.817 | 29 |
SOC, sense of coherence; LOQ, Life-Orientation Questionnaire.
Descriptive and comparative statistics.
| Scale | Grouping | Group statistics | Effect size | Levene’s test for equality of variances | Independent samples | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | Standard deviation | Standard error of mean | df | Sig. (two-tailed) | Mean difference | Standard error of difference | 95% confidence interval of the difference | |||||||||
| Cohen’s | Standard | Sig. | Lower | Upper | ||||||||||||
| Comprehensibility | Chinese | 252 | 45.22 | 6.98 | 0.44 | - | - | - | - | - | - | - | - | - | - | - |
| German | 100 | 49.36 | 7.73 | 0.77 | 0.56 | M | 0.307 | 0.580 | −4.865 | 350 | 0.000 | −4.142 | 0.851 | −5.816 | −2.467 | |
| Manageability | Chinese | 248 | 47.58 | 7.05 | 0.45 | - | - | - | - | - | - | - | - | - | - | - |
| German | 101 | 52.47 | 6.34 | 0.63 | 0.73 | M | 1.075 | 0.301 | −6.038 | 347 | 0.000 | −4.885 | 0.809 | −6.476 | −3.294 | |
| Meaningfulness | Chinese | 248 | 38.07 | 6.98 | 0.44 | - | - | - | - | - | - | - | - | - | - | - |
| German | 101 | 45.30 | 5.11 | 0.51 | 1.18 | L | 15.616 | 0.000 | −10.708 | 251 | 0.000 | −7.224 | 0.675 | −8.553 | −5.896 | |
| SOC score | Chinese | 246 | 131.01 | 16.07 | 1.02 | - | - | - | - | - | - | - | - | - | - | - |
| German | 100 | 146.95 | 15.10 | 1.51 | 1.02 | L | 0.504 | 0.478 | −8.509 | 344 | 0.000 | −15.942 | 1.874 | −19.627 | −12.257 | |
| Comprehensibility | Female all | 110 | 48.47 | 7.92 | 0.76 | - | - | - | - | - | - | - | - | - | - | - |
| Male all | 231 | 45.60 | 6.94 | 0.46 | −0.39 | S | 1.963 | 0.162 | 3.408 | 339 | 0.001 | 2.871 | 0.842 | 1.214 | 4.528 | |
| Manageability | Female all | 109 | 50.50 | 6.74 | 0.65 | - | - | - | - | - | - | - | - | - | - | - |
| Male all | 229 | 48.43 | 7.36 | 0.49 | −0.29 | S | 0.111 | 0.739 | 2.491 | 336 | 0.013 | 2.077 | 0.834 | 0.436 | 3.717 | |
| Meaningfulness | Female all | 109 | 43.01 | 6.95 | 0.67 | - | - | - | - | - | - | - | - | - | - | - |
| Male all | 229 | 38.99 | 7.14 | 0.47 | −0.57 | M | 0.295 | 0.587 | 4.882 | 336 | 0.000 | 4.022 | 0.824 | 2.402 | 5.643 | |
| SOC score | Female all | 107 | 142.16 | 17.89 | 1.73 | - | - | - | - | - | - | - | - | - | - | - |
| Male all | 228 | 133.08 | 16.36 | 1.08 | −0.53 | M | 1.664 | 0.198 | 4.596 | 333 | 0.000 | 9.080 | 1.976 | 5.193 | 12.967 | |
| SOC score | Female all | 107 | 142.16 | 17.89 | 1.73 | - | - | - | - | - | - | - | - | - | - | - |
| Male all | 228 | 133.08 | 16.36 | 1.08 | −0.53 | M | 1.664 | 0.198 | 4.596 | 333 | 0.000 | 9.080 | 1.976 | 5.193 | 12.967 | |
| Comprehensibility | Chinese female | 41 | 45.78 | 6.44 | 1.01 | - | - | - | - | - | - | - | - | - | - | - |
| German female | 69 | 50.07 | 8.32 | 1.00 | 0.58 | M | 1.786 | 0.184 | −2.836 | 108 | 0.005 | −4.292 | 1.514 | −7.292 | −1.292 | |
| Manageability | Chinese female | 39 | 47.49 | 6.26 | 1.00 | - | - | - | - | - | - | - | - | - | - | - |
| German female | 70 | 52.19 | 6.44 | 0.77 | 0.74 | M | 0.002 | 0.968 | −3.689 | 107 | 0.000 | −4.699 | 1.274 | −7.224 | −2.173 | |
| Meaningfulness | Chinese female | 39 | 37.85 | 7.13 | 1.14 | - | - | - | - | - | - | - | - | - | - | - |
| German female | 70 | 45.89 | 4.92 | 0.59 | 1.31 | L | 5.895 | 0.017 | −6.260 | 59 | 0.000 | −8.040 | 1.284 | −10.610 | −5.469 | |
| SOC score | Chinese female | 38 | 131.74 | 16.47 | 2.67 | - | - | - | - | - | - | - | - | - | - | - |
| German female | 69 | 147.90 | 16.03 | 1.93 | 0.99 | L | 0.140 | 0.709 | −4.943 | 105 | 0.000 | −16.162 | 3.270 | −22.645 | −9.679 | |
| Comprehensibility | Chinese male | 201 | 45.28 | 7.01 | 0.49 | - | - | - | - | - | - | - | - | - | - | - |
| German male | 30 | 47.73 | 6.15 | 1.12 | 0.37 | S | 1.675 | 0.197 | −1.812 | 229 | 0.071 | −2.450 | 1.352 | −5.114 | 0.214 | |
| Manageability | Chinese male | 199 | 47.72 | 7.27 | 0.52 | - | - | - | - | - | - | - | - | - | - | - |
| German male | 30 | 53.10 | 6.28 | 1.15 | 0.79 | M | 0.967 | 0.327 | −3.841 | 227 | 0.000 | −5.376 | 1.400 | −8.135 | −2.618 | |
| Meaningfulness | Chinese male | 199 | 38.22 | 7.06 | 0.50 | - | - | - | - | - | - | - | - | - | - | - |
| German male | 30 | 44.07 | 5.43 | 0.99 | 0.93 | L | 5.236 | 0.023 | −5.266 | 45 | 0.000 | −5.846 | 1.110 | −8.081 | −3.610 | |
| SOC score | Chinese male | 198 | 131.29 | 16.09 | 1.14 | - | - | - | - | - | - | - | - | - | - | - |
| German male | 30 | 144.90 | 13.01 | 2.38 | 0.93 | L | 2.812 | 0.095 | −4.417 | 226 | 0.000 | −13.612 | 3.082 | −19.685 | −7.539 | |
| Comprehensibility | Chinese female | 41 | 45.78 | 6.44 | 1.01 | - | - | - | - | - | - | - | - | - | - | - |
| Chinese male | 201 | 45.28 | 7.01 | 0.49 | −0.07 | S | 0.155 | 0.694 | 0.419 | 240 | 0.676 | 0.497 | 1.186 | −1.839 | 2.833 | |
| Manageability | Chinese female | 39 | 47.49 | 6.26 | 1.00 | - | - | - | - | - | - | - | - | - | - | - |
| Chinese male | 199 | 47.72 | 7.27 | 0.52 | 0.03 | S | 0.269 | 0.604 | −0.190 | 236 | 0.850 | −0.236 | 1.246 | −2.691 | 2.218 | |
| Meaningfulness | Chinese female | 39 | 37.85 | 7.13 | 1.14 | - | - | - | - | - | - | - | - | - | - | - |
| Chinese male | 199 | 38.22 | 7.06 | 0.50 | 0.05 | S | 0.205 | 0.651 | −0.303 | 236 | 0.762 | −0.375 | 1.239 | −2.815 | 2.065 | |
| SOC score | Chinese female | 38 | 131.74 | 16.47 | 2.67 | - | - | - | - | - | - | - | - | - | - | - |
| Chinese male | 198 | 131.29 | 16.09 | 1.14 | −0.03 | S | 0.087 | 0.768 | 0.157 | 234 | 0.875 | 0.449 | 2.861 | −5.187 | 6.085 | |
| Comprehensibility | German female | 69 | 50.07 | 8.32 | 1.00 | - | - | - | - | - | - | - | - | - | - | - |
| German male | 30 | 47.73 | 6.15 | 1.12 | −0.32 | S | 3.573 | 0.062 | 1.383 | 97 | 0.170 | 2.339 | 1.691 | −1.017 | 5.696 | |
| Manageability | German female | 70 | 52.19 | 6.44 | 0.77 | - | - | - | - | - | - | - | - | - | - | - |
| German male | 30 | 53.10 | 6.28 | 1.15 | 0.14 | S | 0.284 | 0.596 | −0.656 | 98 | 0.514 | −0.914 | 1.394 | −3.681 | 1.853 | |
| Meaningfulness | German female | 70 | 45.89 | 4.92 | 0.59 | - | - | - | - | - | - | - | - | - | - | - |
| German male | 30 | 44.07 | 5.43 | 0.99 | −0.35 | S | 0.218 | 0.642 | 1.642 | 98 | 0.104 | 1.819 | 1.108 | −0.380 | 4.018 | |
| SOC score | German female | 69 | 147.90 | 16.03 | 1.93 | - | - | - | - | - | - | - | - | - | - | - |
| German male | 30 | 144.90 | 13.01 | 2.38 | −0.21 | S | 2.938 | 0.090 | 0.903 | 97 | 0.369 | 2.999 | 3.322 | −3.594 | 9.592 | |
SOC, sense of coherence.
, Equal variances not assumed: ‘t-test performed with separate variance estimates rather than pooled estimate because the Levene’s test detected significant differences in the variations between the two groups’ (Hair, J., Black, W., Babin, B. & Anderson, R., 2010, Multivariate data analysis, 7th edn., Pearson, Upper Saddle River, NJ, p. 283).