Open Access

Relationship between coping styles and lipid profile among public university staff

  • Suthahar Ariaratnam1, 2Email authorView ORCID ID profile,
  • Ambigga Devi Krishnapillai3,
  • Aqil Mohammad Daher4,
  • Mohd Ariff Fadzil5,
  • Salmi Razali6,
  • Siti Aminah Omar6,
  • Ng Kien Keat3,
  • Nafiza Mat Nasir7,
  • Maizatullifah Miskan3,
  • Mazapuspavina Md Yasin7,
  • Jo Anne Saw1,
  • Damayanthi Durairajanayagam8,
  • Gurpreet Kaur9,
  • Osman Che Bakar6 and
  • Nurul Azreen Hashim1
Lipids in Health and Disease201716:50

DOI: 10.1186/s12944-017-0438-1

Received: 6 October 2016

Accepted: 20 February 2017

Published: 28 February 2017

Abstract

Background

The scarcity of data about coping styles with a biochemical marker namely lipid profile, potentially associated with cardiovascular risk factors is most striking among professionals working in public university. Hence, this research aimed to investigate the relationship between coping styles and lipid profile comprising total cholesterol (TC), triglyceride (TG), HDL-cholesterol (high density lipoprotein-cholesterol) and LDL-cholesterol (Low density lipoprotein-cholesterol) among this group of professionals.

Methods

A cross sectional survey was conducted among staff from a tertiary education centre. Subjects were contacted to ascertain their medical history. A total of 320 subjects were interviewed and 195 subjects were eligible and subsequently recruited on a suitable date for taking blood and administration of the questionnaires. The subjects completed questionnaires pertaining to demographic details and coping styles. Pearson’s correlation coefficient was used to measure the strength of association between lipid profile and coping styles.

Results

Majority of the subjects were non-academic staff (60.0%), female (67.2%), Malay (91.8%), married (52.3%) and educated until Diploma level (34.9%). Academic staff scored significantly higher mean scores in task-oriented coping styles (Mean = 64.12). Non-academic staff scored significantly higher mean scores in emotion (Mean = 48.05) and avoidance-oriented coping styles (Mean = 57.61). Malay subjects had significantly higher mean scores in emotion (Mean = 47.14) and avoidance-oriented coping styles (Mean = 55.23). Non-malay subjects (Mean = 66.00) attained significantly higher mean scores in task-oriented coping styles. Single/divorced/widowed individuals scored significantly higher mean scores in emotion (Mean = 48.13) and avoidance-oriented coping styles (Mean = 56.86). There was a significant negative correlation between TC (r = −0.162) and LDL (r = −0.168) with avoidance-oriented coping styles (p = 0.023, p = 0.019 respectively).

Conclusion

Avoidance-oriented coping style was more likely to engender favourable lipid profile. Hence, assessment of coping styles would certainly assist health care practitioners in predicting subjects who would be at a greater risk of developing cardiovascular diseases.

Keywords

Coping styles Lipid profile Coping Inventory for Stressful Situations Cardiovascular disease Biochemical marker

Background

A particular type of coping or adapting to everyday challenges has been a well-known phenomenon. Coping styles are defined as the patterns of behaviour, thought and emotion mostly used by a person when confronted with new or unusual situations [1]. These conditions could be both good (birth, marriage, getting a promotion, etc.) and negative (death of a loved one, divorce, loss of a job etc.). Cardiovascular disease (CVD) and its risk factors such as hypertension, hyperglycemia, smoking, hyperlipidemia and obesity have been extensively studied. Numerous studies on coping styles with these CVD risk factors have been documented in the literature [29]. However, scarcity of data pertaining to coping styles with a biochemical marker, associated with the aforesaid risk factors is striking [10]. Such assessment would certainly assist in predicting individuals who are at a higher risk of developing CVD. Laboratory study of acute stress among 83 undergraduate male students with repressive coping subjects recorded lower high-density lipoprotein (HDL) level and a higher total/HDL cholesterol ratio [2].

Burns et al. [11] used a biochemical marker to demonstrate that acceptance coping was a significant predictor for hepatitis B antibody concentration. Besides, there has been a study exploring the sociodemographic facets of hyperlipidemia [12] which is devoid of relationship with coping styles whatsoever.

By means of HbA1c (glycated hemoglobin) estimation, Graue et al. [3] concluded that adolescents with type 1 diabetes who predominantly employed emotion-focused coping styles had poor metabolic control as well as lower degree of diabetes-related quality of life compared to those utilizing primarily active coping styles. The study by von Kanel et al. [13] among the elderly utilising ways of coping checklist revealed that, predominant engagement of seeking social support was linked to high levels of biochemical markers such as serum amyloid A (SAA), C-reactive protein (CRP), soluble vascular cellular adhesion molecule (sVCAM) -1 and D-dimer thereby increasing the risk of artherothrombotic CVD.

Costantini et al. [14] stated using rodents and exposed them to natural environment to test the interaction between plasma oxidative status, cortisol and coping styles. They identified cortisol as a potential modulator for the different coping styles during baseline and stress-induced plasma oxidative conditions.

Thus, this study was designed to determine the relationship between coping styles and lipid profile among adult staff in a public university using the more established and superior [15] Coping Inventory for Stressful Situations (CISS) questionnaire.

Methods

Participants

This was a cross-sectional study enrolling all staff (both academic and non-academic) who were stratified according to race and gender from a tertiary education centre based on the staff registry list. Subsequently, each subject was contacted to ascertain their medical history. Inclusion criteria were all subjects aged 18 years or older and fluent in both the Malay or English languages. Exclusion criteria included those having any form of medical diseases, body mass index (BMI) of more than 30 kg/m2 and a family history of hypercholesterolemia.

The eligible subjects were called on a suitable date for taking blood and administration of the questionnaires. These subjects were advised to fast overnight before the blood test was done the following morning for total cholesterol (TC), triglyceride (TG), HDL-cholesterol (high density lipoprotein-cholesterol) and LDL-cholesterol (Low density lipoprotein-cholesterol), collectively known as lipid profile (Fig. 1). Informed consent was obtained from the subjects prior to the blood taking.
Fig. 1

Study flow chart

Subjects’ details were obtained pertaining to sociodemography (such as staff category, gender, race, marital status and highest education level attained), coping styles and lipid profile.

This project was approved by the University Teknologi MARA, Research and Ethics Committee, reference number 100-FF (19/1/1).

Questionnaire and definitions

Coping styles were assessed using the validated [16] Coping Inventory for Stressful Situations (CISS) questionnaire which evaluated 3 types of coping styles namely task, emotion and avoidance. It is a self-reported instrument developed by Endler and Parker [17, 18] measuring the subjects coping styles when faced with stressful situations. It is a 48 item tool of a five point Likert-type rating scale ranging from (1) “Not at all” to (5) “Very much.” Elevated levels of TC, TG, LDL cholesterol and reduced level of HDL-cholesterol were classified as abnormal based on NCEP-ATP III [National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III)], 2002 definition [19].

Statistical analyses

Data was analysed using the Statistical Package for Social Sciences (SPSS) version 16 computer program [20]. For the sociodemographic characteristics, descriptive analysis such as frequency, mean, median and range was used. Chi square was used for discrete variable and Student T-test for continuous variables to determine the various relationships. Pearson’s correlation coefficient (r) was used to measure the strength of association between lipid profile and coping styles. A p-value < 0.05 was considered to be statistically significant.

Results

A total of 320 subjects were screened during the study period and 195 were eligible (61%). The characteristics of the subjects who are eligible are depicted in Table 1. The results showed that majority of subjects were non-academic staff (60.0%), female (67.2%), Malay (91.8%), married (52.3%) and those who had a diploma level of education (34.9%).
Table 1

Demographic profile of the study subjects

Demographic profile (n = 195)

Number [%] of subjects

Staff category

Academic

78 (40.0)

Non Academic

117 (60.0)

Gender

Male

64 (32.8)

Female

131 (67.2)

Race

Non Malay

16 (8.2)

Malay

179 (91.8)

Marital status

Married

102 (52.3)

Single

89 (45.6)

Divorced

2 (1.0)

Widow/ Widower

2 (1.0)

Highest education attained

Secondary

32 (16.4)

Diploma

68 (34.9)

Bachelor

25 (12.8)

Master

52 (26.7)

PhD

18 (9.2)

It was observed from Table 2 that there was no significant difference in the percentage of abnormal lipid profile between academic and non academic staff. Apart from TC, males were found to have a significantly higher percentage of abnormal HDL, LDL and TG levels compared to females. Furthermore, pertaining to race it was observed that there were no significant differences with regards to TC, HDL and LDL, whilst abnormal TG was significantly lower among Malays compared to non-Malays. In terms of education, there was no significant difference in the lipid profile among the different categories of educational level. For marital status, it was revealed that married individual had a significantly higher percentage of abnormal TC, HDL, LDL and TG compared to single/divorced/widowed subjects.
Table 2

Lipid profile distribution by socio-demography characteristics

Demographic characteristics (n = 195)

Total Cholesterol

High Density Lipoprotein

Low Density Lipoprotein

Triglycerides

  

Number [%] of subjects

 

Normal

Abnormal

Normal

Abnormal

Normal

Abnormal

Normal

Abnormal

Staff

Academic

37(47.4)

41(52.6)

68(87.2)

10(12.8)

50(64.1)

28(35.9)

62(79.5)

16(20.5)

Non-academic

55(47.0)

62(53.0)

110(94.0)

7(6.0)

73(62.4)

44(37.6)

98(83.8)

19(16.2)

p value

0.953

0.097

0.809

0.446

Gender

Male

27(42.2)

37(57.8)

51(79.7)

13(20.3)

34(53.1)

30(46.9)

41(64.1)

23(35.9)

Female

65(49.6)

66(50.4)

127(96.9)

4(3.1)

89(67.9)

42(32.1)

119(90.8)

12(9.2)

p value

0.329

0.000*

0.044*

0.000*

Race

Non -Malay

8(50.0)

8(50.0)

15(93.8)

1(6.2)

11(68.8)

5(31.2)

10(62.5)

6(37.5)

Malay

84(46.9)

95(53.1)

163(91.1)

16(8.9)

112(62.6)

67(37.4)

150(83.8)

29(16.2)

p value

0.814

0.715

0.624

0.033*

Education

Secondary

17(53.1)

15(46.9)

28(87.5)

4(12.5)

19(59.4)

13(40.6)

23(71.9)

9(28.1)

Diploma

32(47.1)

36(52.9)

66(97.1)

2(2.9)

43(63.2)

25(36.8)

61(89.7)

7(10.3)

Bachelor

12(48.0)

13(52.0)

22(88.0)

3(12.0)

14(56.0)

11(44.0)

21(84.0)

4(16.0)

Master/PhD

31(44.3)

39(55.7)

62(88.6)

8(11.4)

47(67.1)

23(32.9)

55(78.6)

15(21.4)

p value

0.874

0.220

0.747

0.133

Marital status

Married

37(36.3)

65(63.7)

89(87.3)

13(12.7)

54(52.9)

48(47.1)

76(74.5)

26(25.5)

Single/divorced/widowed

55(59.1)

38(40.9)

89(95.7)

4(4.3)

69(74.2)

24(25.8)

84(90.3)

9(9.7)

p value

0.001*

0.037*

0.002*

0.004*

*p value is significant at 0.05

Table 3 presents the mean and standard deviation of coping categories score by staff, race and marital status based on CISS. Academic staff scored significantly higher mean scores in task oriented coping styles compared to non-academic staff. In contrast, non-academic staff scored significantly higher mean scores in emotion and avoidance-oriented coping styles compared to academic staff. Malay subjects were found to have significantly higher mean scores in emotion and avoidance-oriented coping styles compared to non-Malay subjects. On the other hand, non-Malay subjects were found to have significantly higher mean scores in task-oriented coping styles compared to Malay subjects. Single/divorced/widowed individuals were found to have significantly higher mean scores in emotion and avoidance-oriented coping styles compared to married individuals. Pertaining to task-oriented coping styles there were no significant differences between the two categories.
Table 3

Mean and standard deviation of coping categories score by staff, ethnicity and marital status

  

Coping categories

Demographic characteristics

Task

Emotional

Avoidance

 

Mean

SD

Mean

SD

Mean

SD

Staff

Academic

64.12

7.54

43.86

9.63

49.53

10.73

Non-academic

61.49

6.39

48.05

8.79

57.61

8.84

p value

0.010*

0.002*

0.000*

Race

Non -Malay

66.00

6.24

37.81

8.34

44.81

10.00

Malay

62.23

6.97

47.14

9.058

55.23

10.03

p value

0.038*

0.000*

0.000*

Marital status

Married

62.42

7.38

44.77

9.03

52.11

11.37

Single/divorced/widowed

62.67

6.54

48.13

9.40

56.86

8.63

p value

0.807

0.012*

0.001*

Abbreviation: SD standard deviation

*p value is significant at 0.05

In the analysis of the linear relationship between the different lipid markers and coping styles (refer Table 4), it was shown that there was a significant negative correlation between TC (r = −0.162) and LDL (r = −0.168) with avoidance-oriented coping styles (p = 0.023, p = 0.019 respectively). There was no significant correlation observed between other coping styles with lipid profile parameters.
Table 4

Correlation analysis of task, emotion and avoidance-oriented coping styles with lipid profile

Lipid profile Indices

 

Task-oriented coping

Emotion-oriented coping

Avoidance-oriented coping

Total Cholesterol (mmol/L)

Pearson Correlation

−0.014

−0.114

−0.162a

Sig. (2-tailed)

0.844

0.113

0.023

HDL (mmol/L)

Pearson Correlation

0.007

−0.064

−0.041

Sig. (2-tailed)

0.925

0.372

0.571

LDL (mmol/L)

Pearson Correlation

−0.035

−0.079

−0.168a

Sig. (2-tailed)

0.628

0.271

0.019

TG (mmol/L)

Pearson Correlation

0.048

−0.074

−0.016

Sig. (2-tailed)

0.506

0.305

0.826

aCorrelation is significant at the 0.05 level (2-tailed)

Table 5 shows the factors associated with abnormal lipid profile. It was noted that the older the age, the more likelihood of abnormal TC and LDL obtained. Being male was associated with greater likelihood of abnormal TG and HDL. In contrast, holding a degree higher than secondary level education was associated with less likelihood of abnormal LDL.
Table 5

Results of multivariate regression analysis including variables significantly associated with abnormal lipid profile

 

B

S.E.

p

OR

95% CI

Lower

Upper

TC

Age

 

0.051

0.022

0.018*

1.053

1.009

1.098

TG

Gender

Female

   

1

  

Male

1.734

0.437

0.000*

5.662

2.406

13.325

HDL

Gender

Female

   

1

  

Male

2.326

0.636

0.000*

10.240

2.944

35.614

LDL

Age

 

0.070

0.022

0.002*

1.072

1.026

1.120

Education

Secondary

   

1

  

Above secondary

−0.845

0.426

0.047*

0.430

0.186

0.990

Abbreviation: OR odds ratio

*p value is significant at 0.05

Discussion

To the best of our knowledge, this was the first study assessing the relationship between lipid profile and coping styles among apparently healthy adult subjects in a tertiary education centre. In the light of the literature being inundated with conflicting reports, we believe that the results of this study would shed light to offer better approaches to coping styles.

The result of female gender being more represented is also reflected in the pattern of gender distribution of our university, comprising 60% female and 40% male staff.

Among the races involved, Malays constituted the majority and this finding is in keeping with the overall distribution of races in the university.

This study showed that males have significantly higher percentage of abnormal HDL, LDL and TG compared to females. These results are consistent with that recorded by other authors both locally [12] and abroad [21].

A notable feature in our study affirmed that abnormal TG was significantly lower among Malays compared to non-Malays. This was possibly attributable mainly due to the dietary habits of non-Malays especially the Indians who formed the majority of individuals in this category. Indians generally tend to consume food rich in saturated fat such as coconut milk, ghee, palm kernel and palm oil which consequently, increased the levels of TG [22].

Pertaining to marital status, this study revealed that single/divorced/widowed individuals demonstrated favourable lipid levels and hence, less CVD risks factor profile. This finding is consistent across several countries such as Hong Kong [23] and Iran [24]. The plausible reason for this could be linked to lifestyle patterns among the married subjects who had regrettably assumed a sedentary lifestyle after matrimony. Therefore, this had affected the lipid indices.

In terms of coping styles, academic staff scored significantly higher mean scores in task oriented coping compared to non-academic staff. This finding concurred with a study by Kariv and Heiman [25] which recorded that task oriented coping styles were more likely to be adopted as it was agreeable to their nature of work as an academician. Having better control of their problems, academic staff fared better in terms of their emotion and physical states [26, 27]. In contrast, non academic staff scored significantly higher mean scores in emotion and avoidance-orientated coping styles compared to academic staff. We presume that non academic staff chooses emotion-focused approach because it is a way of helping them to endure the stress effectively.

As regards race, Malay subjects were found to have significantly higher mean scores in emotion and avoidance-orientated coping styles compared to non-Malay subjects. We hypothesized that Malay subjects tended to cope more by using these styles which had assisted them in modulating their stress response to a manageable level. Non-malay subjects were found to have significantly higher mean scores in task orientated coping styles compared to Malay subjects. This could be ascribed to the fact that the non-Malay subjects focused on solving their problem rather than engaging in avoiding or emotional ways of coping styles. Further studies (both qualitative and quantitative) are required to elucidate why Malays tend to choose emotion and avoidance coping styles unlike the non-Malay subjects who utilise task orientated coping styles.

In addition, single/divorced/widowed individuals were found to have significantly higher mean scores in emotion and avoidance-orientated coping styles compared to married individuals. We postulate that these individuals preferred to use emotion oriented coping approach as it can assist them in regulating their emotion while facing stressful situations. A study by Boals [28] suggested that avoidance coping styles were associated with having less self control. Further studies would help understand if this phenomenon is beneficial to them.

As regards the relationship between lipid profile and different coping categories, this study found that there was a significant negative correlation [29] between TC (r = −0.162) and LDL (r = −0.168) with avoidance-oriented coping styles (p = 0.023, p = 0.019 respectively). Hence, avoidance-oriented coping style engendered favourable lipid profile with regards to reduction in TC and LDL, thereby a plausible reduction in cardiovascular event or disease.

An intriguing finding from this study identified that significant correlation faded away in the multiple logistic regressions denoting the presence of confounding effect. Admittedly, age was associated with abnormal TC and LDL. Similarly, being a male was an independent risk factor for abnormal TG and HDL. It was expected that higher education level would be associated with better health status. In this study, higher educational level was associated with favourable LDL.

The strength of this study lies on its study design which differed significantly from earlier screening studies [3, 12]. Subjects recruited were not only stratified by race but also included asymptomatic and healthy ones.

Admittedly, few weaknesses merit mention. Firstly, the CISS questionnaire by itself appears modifiable as it did not encompass facets of other ways of coping approaches. For instance, it failed to explore religious ways of coping which were indeed adopted by many individuals residing in a multi religious country like ours. Secondly, our study was confined to a circumscribed population of adult university staff and therefore it cannot be generalized. Thirdly, this being a cross-sectional study, it does not allow for cause and effect relationships to be studied. Fourthly, although the questionnaire was assumed to be valid and had been used in the Malaysian context, the use of questionnaires in general is inherently affected by several issues spanning from difference of understanding among respondent to social desirability bias.

Conclusions

Pertaining to the use of coping styles and lipid profile, assessment of coping styles would certainly assist health care practitioners in predicting individuals who would be at risk of developing cardiovascular diseases. Promoting avoidance coping styles would in fact be beneficial in terms of producing favourable lipid profile especially in the reduction of TC and LDL. Thus, cardiovascular diseases in the future could possibly be averted. Consequently, this would be potentially life-saving in the long run.

Moreover, the role of nutraceuticals and functional food ingredients in the management of dyslipidaemia should be considered though their actual CVD risk protection is still under much discussion [30].

Abbreviations

BMI: 

Body mass index

CISS: 

Coping Inventory for Stressful Situations

CRP: 

C-reactive protein

CVD: 

Cardiovascular disease

HbA1c: 

Glycated hemoglobin

HDL-C: 

High-density lipoprotein cholesterol

LDL-C: 

Low-density lipoprotein cholesterol

NCEP: 

National Cholesterol Education Program

SAA: 

serum amyloid A

SPSS: 

Statistical Package for Social Sciences

sVCAM: 

Soluble vascular cellular adhesion molecule

TC: 

Total cholesterol

TG: 

Triglyceride

Declarations

Acknowledgements

This project was supported by Research Management Institute, Universiti Teknologi MARA [Project Code: 600 IRDC/ST/DANA 5/3/Dst (42/2008)].

Funding

Research Management Institute, Universiti Teknologi MARA is acknowledged for providing funding for the study.

Availability of data and materials

The datasets during and/or analysed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

SA, ADK and OCB were responsible in the conception and design of the research, data collection and article writing/revising. GK and AMD were responsible in data management, collection/entry, cleaning, statistical analyses and article writing/revising. SR assisted in the research management, data collection and article writing/revising. SAO, SJA and DD were involved in the design of the research, assisted in the coordination of data collection and article writing/revising. MAF, NKK, NMN, MM, MMY and NAH assisted in design of the research, conducted the data collection and article writing/revising. All authors read and approved the final article.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

This project was approved by the University Teknologi MARA, Research and Ethics Committee, reference number 100-FF (19/1/1).

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Discipline of Psychological and Behavioural Medicine, Faculty of Medicine, Universiti Teknologi MARA
(2)
MusTReWell, Brain and Neuroscience Communities of Research, Universiti Teknologi MARA
(3)
Department of Primary Care Medicine, Faculty of Medicine and Defence Health, National Defence University of Malaysia
(4)
Department of Public Health, Faculty of Medicine and Defence Health, National Defence University of Malaysia
(5)
Discipline of Public Health, Faculty of Medicine, Universiti Teknologi MARA
(6)
Discipline of Psychological and Behavioural Medicine, Faculty of Medicine, Universiti Teknologi MARA
(7)
Discipline of Primary Care Medicine, Faculty of Medicine, Universiti Teknologi MARA
(8)
Discipline of Physiology, Faculty of Medicine, Universiti Teknologi MARA
(9)
Secretariat of National Institutes of Health, Ministry of Health Malaysia

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