Korean J Intern Med > Volume 36(Suppl 1); 2021 > Article
Akbas, Surucu, Akca, and Koroglu: Determination of the relationship between the fatigue and social support levels of cancer patients: a cross-sectional study

Abstract

Background/Aims

Cancer is seen as one of the most important health problems of our time. In the world and in our country, the most common death cause after cardiovascular diseases in the order of diseases that result in death is cancer. This descriptive, cross-sectional study is done in order to determine the relationship between fatigue and social support levels of cancer patients.

Methods

Research was carried out in Cukurova University Hospital in Adana, which is located in the south of Turkey, between December 2014 and December 2015. Data were collected by interview form prepared by the researcher, Piper Fatigue Scale and Social Support Patient Form. Data was analyzed by percentile, mean, independent t test, one-way analysis of variance, correlation and multiple regression.

Results

The average score of Social Support Patient Form is 131.1 ± 15.5, and Piper Fatigue Scale total score mean of the participants is 5.8 ± 2.4. A low level of negative correlation was found between the social support to cancer patients scale emotional support subdimension and the Piper Fatigue Scale affective subdimension.

Conclusions

As a result of the research, it was seen that the level of fatigue of the participants had moderate and level of perceived social support was positive. The age, marital status, and education status of the participants do not affect the fatigue and social support levels.

INTRODUCTION

Cancer, defined as the uncontrolled and abnormal cell proliferation, is used as a general term for many diseases and it is seen as one of the most important health problems of our time. In the world and in our country, the most common death cause after cardiovascular diseases in the order of diseases that result in death is cancer [1-3].
Although new treatment modalities have increased the hope level of cancer patients, the long treatment period, the difficulties of treatment and its effects lead to many side effects in the patient. The most common of these side effects is fatigue. Fatigue is a symptom that develops over time, has psychological, cognitive and emotional elements and it manifests itself with diminished energy and increased need for rest, concentration, motivation and restriction of daily activities [3]. Patients describes fatigue by using the words such as; tiredness, weakness, exhaustion, somnolence, getting tired quickly, slowing, lack of energy or absence of energy, insomnia and lassitude [4].
Cancer-related fatigue causes disruption in all aspects of quality of life and may be a risk factor for reduced survival [5]. Fatigue has many destructive effects on cancer patients from physical, psychological and socioeconomic aspects. Cancer patients define fatigue as a devastating symptom during the months and years of treatment. Fatigue is also described by patients as “reduction in performance power, lack of energy, drowsiness, depression, difficulty in concentrating, lack of motivation and insomnia” [6].
Along with fatigue, normal activity capacity of patients is diminished, and patients cannot perform the activities which they have always performed for a long time. This situation affects the life quality of patients negatively. According to Karakoc [3], this symptom, which interferes with individual functions and lowers the quality of life, is an important problem that is skipped over in clinics because it is a subjective phenomenon and it is a universally accepted aspect of diseases. For this reason, the evaluation of the symptom and the establishment of necessary initiatives to cope with it may increase the quality of life of the individual [3].
Nurses have an important task in the training of cancer patients and in increasing their coping skills. The nurse is responsible for monitoring the objective and subjective findings of the fatigue symptom by constantly evaluating the factors affecting fatigue, which has an important effect on the quality of life of cancer patients, and for making plans for appropriate interventions for both the patient and the family [3,7].
Individuals with cancer need social support so that they are least affected by many of the symptoms they experience and that they can cope with the disease. Social support is defined as all interpersonal relationships that have an important place in people’s lives and that can provide emotional, material and cognitive assistance when needed and as social support systems that have health protection function. Social support helps to reduce the harmful effects of physical illness and self-esteem linked to negative events in life and to function as a buffer against these negative events [8,9]. This support is very important for the patient receiving cancer treatment to beat the disease and to feel psychologically comfortable.

Research questions

(1) What is the level of social support that individuals with cancer receive from their family?
(2) What is the level of fatigue of the individual with cancer?
(3) Is there a relation between the social support that the individuals with cancer receive from their families and the level of fatigue?
(4) What are the factors affecting the level of social support that individuals with cancer receive from their parents and the level of fatigue?

Aim

This research aims to determine the relationship between fatigue levels of cancer patients and the social support they receive.

METHODS

Type of the research

The research is descriptive and cross-sectional.

The population and sample of the research

The research was carried out at Cukurova University Faculty of Medicine Balcali Hospital. The patients in the gynecologic-oncology service of the relevant hospital between December 1, 2014 and December 1, 2015 constituted the population of the research. The gynecological cancer patients who undergo only chemotherapy treatment are admitted to this clinic. Because the patients received chemotherapy more than once, data were collected once from the hospitalized patients. The criteria for sampling included voluntary participation of the cancer patient, not being in the terminal stage of the illness and not having had a surgical operation. Cancer patients who agreed to participate in the study, were not in terminal phase, they had not undergone a surgery at the time. Fifty patients who met the research criteria during the time of the research were included in the study. Twenty-seven patients were hospitalized more than once in the clinic. Eight patients that were in terminal phase, 25 patients who had undergone a surgery and three patients who did not want to participate in the study were not sampled.

Data collection

In data collection phase, in order to identify the characteristics of participants, ‘Patient Identification Form’ which was prepared by the researchers was used to evaluate the level of fatigue of the patients ‘Piper Fatigue Scale’ (PFS) and to determine the social support perception of the cancer patients ‘Social Support Patient Form’ were used [6,10]. Forms were distributed to literate patients and were collected after 30 minutes. For illiterate patients, face to face interviews were conducted to collect data.

Patient identification form

It was developed by researchers and consists of 18 items that include sociodemographic features of the cancer patient (age, marital status, education level, work status, social security, and number of children), diagnosis, time of diagnosis, treatments/therapies, people living in same house, care at home, relationship with partner-child-relatives-friends and frequency of hospital visit.

Piper Fatigue Scale

PFS, was developed in 1987 by Piper et al. with the aim of evaluating the multifaceted measurement model of fatigue [11,12]. The PFS is composed of 22 items, and the participants evaluate the visual comparison scale, which varies between 0 to 10 points. In the scale, participants’ subjective perception of fatigue is evaluated based on four subdimensions; behaviour/violence subdimension, affective subdimension, sensory subdimension, and cognitive/psychological subdimension. The total fatigue score is calculated by dividing the total score of 22 items by the number of items. According to the result obtained; 0 points indicates no fatigue at all, 1 to 3 points indicates mild fatigue, 4 to 6 points indicates moderate fatigue, 7 to 10 points indicates severe fatigue. Validity and reliability study of this scale in our country was made by Can [11]. Scale is a measure that can be used in cancer patients and their relatives. In the study, the Cronbach’s alpha (α) reliability coefficient was found to be between 0.87 to 0.91 for the subgroups and 0.94 for the scale [11,12].

Social Support Patient Form

Developed by Eylen [6], the scale was developed to determine the type and level of social support that patients consider to receive form their family members. The scale consisting of 35 elements is 5 point likert type and has three subdimensions. Trust support, emotional support, and information support are subdimensions of the scale. Thirteen of the items (4, 9, 13, 14, 21, 22, 26, 27, 29, 30, 31, 32, 33) under measurement tool are negative and 22 are positive statements. In positive items, the answers given are given codes such as “it matches very well with my situation (5 point), it matches with my situation (4 point), it partially matches with my situation (3 point), it does not match with my situation (2 point), and it does not match at all with my situation (1 point) and for negative items same options are coded by scoring them from 1 to 5. The perceived social support score equals the sum of the scores from the positive items plus the scores from the reversal of the scores of the negative items. The lowest score that can be obtained from the scale is 35 and the highest score is 175. The high score on the scale indicates that the social support that the cancer patient receives from his/her family is high. The first factor, trust support subdimension, composes of 13 items (1, 3, 6, 7, 8, 10, 11, 12, 17, 19, 24, 34, 35), the second factor, emotional support subdimension, composes of 12 items (2, 9, 13, 15, 16, 18, 20, 23, 26, 27, 28, 33) and the third factor, information support subdimension, composes of 10 items (4, 5, 14, 21, 22, 25, 29, 30, 31, 32). The alpha coefficients of each subdimension were 88 (n = 89, number of items 13) for the “trust support” subdimension, 0.88 (n = 89, number of items 12) for the “emotional support” subdimension and 0.87 (n = 89, number of items 10) for the “information support” subdimension. These findings have been interpreted in a way that the items can distinguish between those who receive social support and those who do not [6].

Statistical analysis

Data were analyzed using IBM SPSS Statistics 20 (IBM Co., Armonk, NY, USA) program using descriptive and parametric statistical analysis methods. Descriptive statistical analyses involved calculation of means, standard deviations, frequencies, and minimum and maximum values. Comparisons were performed using a t test for the comparisons of two groups and one-way analysis of variance for the comparison of three and more groups. Pearson Correlation Analysis was used to evaluate the relationship between the scale scores. Multiple regression model was used to determine the effect of independent variables on dependent variable. Statistical significance level was 0.05.

Ethical statement

Approval from a University Faculty of Medicine Non-Invasive Clinical Research Ethics Committee was obtained on May 07, 2013 (approval number: 17/8), and permission from the hospitals and informed consent from the patients participating in the study were obtained.

RESULTS

All patients were women. The average age of the participants was 56.0 ± 11.0 and the range of distribution was 23 to 81. The 74.0% of the participants were married, 92.0% did not work, 82.0% expressed the economic status as moderate, and 62.0% had primary education and above.
In Table 1, findings on the diagnosis and treatment process of a cancer patient are shown. It was found out that 60.0% of cancer patients had ovary cancer, 50.0% of them were diagnosed a year ago and 90.0% of them received chemotherapy as a treatment method. It was observed that 54.0% of the cancer patients who participated in the study had lived with their spouses and their children, 82.0% of the people who provided care to them were their first-degree relative, and that most of them have good relations with their spouses, children, friends and relatives (Table 1).
Findings related to the social support perception scale and PFS average scores of cancer patients are given in Table 2. The average total score of the social support perception scale of cancer individuals is 131.1 ± 15.5. The participants’ PFS total score average was 5.8 ± 2.4 (Table 2).
In Table 3, findings related to the relationship between social support perceptions and fatigue levels of cancer patients are shown. A low level of negative correlation was found between the social support to cancer patients scale emotional support subdimension and the PFS affective subdimension (Table 3).
Findings related to the distribution of average scores of social support perception scale of cancer patients based on various variables are shown in Table 4. There was no statistically significant difference between the social support perception scale and the sociodemographic characteristics of the participants (p > 0.05) (Table 4).
Findings related to the distribution of the average score of the PFS of the cancer patients based on various variables are shown in Table 5. It is observed that the there is a significant difference between the economic status of the patients and the behaviour/violence subdimension of the PFS (p < 0.05). Participants with bad economic status were found to have a lower behaviour/violence subdimension score than those with better economic status. There was a statistically significant difference between the working status of the participants and the affective subdimension of the PFS (p < 0.05). The average score of the affective subdimension of the non-working participants was found to be lower than that of the working ones (Table 5).
Relationship between fatigue and some variables related to sociodemographic and social support in Table 6. Fatigue levels were found to be twice as high in those who had a good relationship with relatives (t = 2.233, p < 0.05) (Table 6).

DISCUSSION

Individuals diagnosed with cancer and their relatives are adversely affected from cognitive, psychological, emotional and social point of view. Especially during this process, the individual has difficulties in coping with many new situations which are related to the disease and needs social support. It is stated in the literature that social support is useful for cancer patients and that there is a positive relationship between emotional support from family members and the level of physical and psychological adjustment to cancer [13,14]. A study carried out by Ayaz et al. [14] on 200 cancer patients in order to determine the level of social support received by gynecologic cancer shows that patients received support mostly from their families and it is followed respectively by the support provided by a special person and friends. Ozyurt [15] study carried out on 92 patients with the aim of determining the levels of social support given by the cancer patients and the level of perception of this social support by cancer patients shows that patients receives support mostly from their spouses and that it is followed by the support provided by their children and their siblings. Our studies show similarities with the studies of both Ayaz et al. [14] and Ozyurt [15] it is determined that participants receive support mostly from their first-degree relatives (Table 1).
According to a study by Stubblefield et al. [16], fatigue for cancer patients is a symptom increasing over time, having psychological, cognitive and emotional aspects, manifesting itself with diminished energy and increased need for rest, limited concentration and motivation and restriction of daily activities.
In a study by Saygili [12], carried out on 233 cancer patients in order to evaluate the fatigue and quality of life, 76.8% of participants expressed that they feel fatigued. A study by Karakoc and Yurtsever [17] carried out on 71 patients with the aim of determining the relation between the social support and fatigue in elderly persons receiving chemotherapy, 93% of the participants stated that the most common complaint is fatigue. The lowest score that can be obtained from the Social Support Patient Form is 35 and the highest score is 175. Because of the average social support score was 131.1 ± 15.5 in our study, level of the perceived social support of the participants could be evaluated as positive (Table 2).
Cancer is considered to be a family illness because of physical, psychological, and socioeconomic burden to the individual and family. The social support received by individuals facing this difficult situation can encourage them and have an effect on distracting their attention from their disease [18]. Cancer patients sharing their responsibilities with their spouses, children or friends during their illness experience less fatigue [17]. The study by Karakoc and Yurtsever [17] shows a negative relation between fatigue and social support and it also shows that the more the level of fatigue increases, the less social support the patients receive. In our study as well we observed only a sub dimension negative relation between fatigue and social support (Table 3).
Our study, unlike the studies of Gokyildiz Surucu et al. [19] and Karakoc and Yurtsever [17]. show that there is no statistically significant difference between the sociodemographic characteristics and level of social support (Table 4). This situation can be explained by the cultural characteristics of Turkish society. Cultural features such as economic status, gender roles, nutrition, personal hygiene, occupation, family structure, dressing, housing regulation, population policy, environmental regulation, and health care practices directly or indirectly influence cancer diagnosis and treatment [20]. Despite the changes and transformations that have occurred with globalization, Turkish society continues to preserve both contemporary and traditional characteristics of the family structure, such as solidarity, cooperation, marital system and the importance of the role of motherhood in women [21]. In the studies by Andrykowski et al. [10] in patients with breast cancer and by Loge et al. [22] in patients with Hodgkin’s lymphoma a correlation was found between patients’ fatigue and their educational level. The study by Karakoc and Yurtsever [17] shows that the higher the educational level, the less fatigue is observed and perceived social support increases.
Our study shows that, the average score of behaviour/violence subdimension of PFS patients with poor economic conditions compared to those with good economic conditions is lower. It is also found out that, non-working patients, compared to working ones, have lowers scores on their affective subdimension of PFS (Table 5). Education increases individuals’ ability to establish relationships and may be considered to be one of the factors that affects perceived social support. It is suggested that it is also a factor that ensures that individuals receive concrete assistance from their family, friends and relatives to help them cope with fatigue.
In this study, fatigue levels were found to be twice as high in those who had a good relationship with relatives (Table 6). In Turkish culture, patient visiting by relatives is important. But, sometimes these visits can be too long, and too crowded and can affect the patients negatively. Long period and too crowded visits by relatives may prevent the patient from sleeping during the day. Consequently, patients may not be sufficiently rested [23,24].
Limitations of this study are that it was performed in a single centre and that it was a cross-sectional design. Another limitation of this study is that anemia, and the stage of cancer which are some of the factors that may affect fatigue, is not questioned in cancer patients.
As a result of the research, it was seen that the level of fatigue of the participants had moderate and level of perceived social support was positive. Conducting qualitative studies in order to identify the level of fatigue and the level of social support perception of patients would enable individuals to express themselves better, thus facilitating the identification of necessary improvements to that end and contribute to the provision of such support.

KEY MESSAGE

1. It is determined that participants receive support mostly from their first-degree relatives.
2. It was found that the participants experience moderate fatigue.
3. It was seen that the participants had perceived level of social support was positive.
4. There was no statistically significant difference between the social support perception scale and the sociodemographic characteristics of the participants.

Conflict of Interest

No potential conflict of interest relevant to this article was reported.

Acknowledgments

We would like to thank all participants in the study. Data from this study has been presented as a poster at the 22th World Congress on Controversies in Obstetrics, Gynaecology & Infertility (COGI), Budapest (September 17 to 20, 2015).

Table 1.
Findings on the diagnosis and treatment process of a cancer patient (n = 50)
Variable No. (%)
Diagnosis (self report of patients)
 Ovary cancer 30 (60.0)
 Endometrium cancer 7 (14.0)
 Does not know 10 (20.0)
 Cervix cancer 3 (6.0)
Diagnosis time
 1 year ago 25 (50.0)
 2 years ago 23 (46.0)
 Does not know 2 (4.0)
Previous treatment
 Chemotherapy 45 (90.0)
 Surgical treatment 17 (34.0)
 Medicinal treatment 6 (12.0)
 Radiotherapy 1 (2.0)
Persons with whom the patients share home
 Him/herself, spouse and children 27 (54.0)
 Him/herself and spouse 8 (16.0)
 Him/herself and children 8 (16.0)
 Him/herself, his/her mother, father and sibling 2 (4.0)
 Him/herself, daughter and grandchild 1 (2.0)
 His/her mother and children 1 (2.0)
Persons who provide home care to the patient
 First degree relative 41 (82.0)
 Second degree relative 9 (18.0)
Level of relations with persons
 Partner
  Good 28 (56.0)
  Moderate 9 (18.0)
  Do not have partner 13 (26.0)
 Children
  Good 45 (90.0)
  Moderate 2 (4.0)
  Do not have child 3 (6.0)
 Friends
  Good 43(86.0)
  Moderate 7 (14.0)
 Relatives
  Good 44 (88.0)
  Moderate 6 (12.0)
Table 2.
Findings related to the social support perception scale and Piper Fatigue Scale average scores of cancer patients (n = 50)
Scale Mean ± SD Range of distribution
Social support perception scale of cancer patients
 Trust support 58.8 ± 6.8 38–65
 Emotional support 41.9 ± 5.7 30–60
 İnformation support 30.4 ± 7.2 18–48
 Total 131.1 ± 15.5 91–171
Piper Fatigue Scale
 Behavioral/severity 5.9 ± 3.1 0–10
 Affective meaning 6.4 ± 3.0 0–10
 Sensory 6.4 ± 2.6 0–10
 Cognitive/mood 4.8 ± 2.3 0–9
 Total 5.8 ± 2.4 5–38
Table 3.
Findings related to the relationship between social support perceptions and fatigue levels of cancer patients (n = 50)
Variable Piper Fatigue Scale
Behavioral/severity Affective meaning Sensory Cognitive/mood Total
Trust support
r value –0.156 –0.123 –0.005 –0.217 –0.143
p value 0.280 0.396 0.975 0.130 0.303
Emotional support
r value –0.250 –0.300 –0.105 –0.272 –0.270
p value 0.080 0.034 0.469 0.056 0.058
Information support
r value –0.235 –0.164 –0.170 –0.171 –0.216
p value 0.100 0.256 0.237 0.236 0.132
Total
r value –0.265 –0.241 –0.117 –0.271 –0.259
p value 0.063 0.092 0.418 0.057 0.069
Table 4.
Findings related to the distribution of average scores of social support perception scale of cancer patients based on various variables (n = 50)
Variable Social support perception scale
Trust support Emotional support Information support Total
Age, yr
 50 and younger 56.07 ± 6.681 41.07 ± 5.535 29.87 ± 6.781 127.00 ± 13.169
 50 and older 59.97 ± 6.569 42.20 ± 5.805 30.63 ± 7.511 132.80 ± 16.264
p value 0.61 0.524 0.737 0.229
Marital status
 Married 58.24 ± 7.274 41.89 ± 6.163 30.62 ± 7.209 130.76 ± 16.888
 Single 60.38 ± 5.026 41.77 ± 4.285 29.77 ± 7.585 131.92 ± 11.161
p value 0.332 0.948 0.719 0.818
Educational status
 Illiterate 59.42 ± 4.926 42.17 ± 5.458 30.50 ± 9.932 132.08 ± 18.238
 Literate 55.71 ± 11.101 41.29 ± 9.895 31.00 ± 6.298 128.00 ± 25.762
 Primary school 58.68 ± 6.638 41.80 ± 5.074 30.60 ± 6.627 131.08 ± 12.560
 High school 61.67 ± 3.670 42.17 ± 3.189 28.67 ± 5.820 132.50 ± 7.176
p value 0.464 0.989 0.941 0.949
Economic status
 Good 59.0 ± 6.042 44.20 ± 11.234 34.00 ± 11.683 137.20 ± 26.985
 Moderate 58.37 ± 7.081 41.59 ± 5.118 30.27 ± 6.734 130.22 ± 14.642
 Bad 63.00 ± 2.708 41.75 ± 1.258 27.25 ± 5.852 132.00 ± 4.690
p value 0.434 0.634 0.374 0.641
Working status
 Working 55.25 ± 5.315 42.25 ± 6.397 30.00 ± 8.083 127.50 ± 17.711
 Non-working 59.11 ± 6.852 41.83 ± 5.705 30.43 ± 7.259 131.37 ± 15.477
p value 0.279 0.888 0.910 0.637

Values are presented as mean ± SD.

Table 5.
Findings related to the distribution of the average score of the Piper Fatigue Scale of the cancer patients based on various variables (n = 50)
Variable Piper Fatigue Scale
Behavioral/severity Affective meaning Sensory Cognitive/mood Total
Age, yr
 50 and younger 5.64 ± 3.182 6.64 ± 3.205 5.83 ± 2.768 4.71 ± 2.601 5.66 ± 2.628
 50 and older 5.99 ± 3.157 6.36 ± 2.952 6.58 ± 2.572 4.80 ± 2.172 5.88 ± 2.312
p value 0.728 0.766 0.356 0.896 0.762
Marital status
 Married 5.84 ± 3.068 6.64 ± 2.887 6.02 ± 2.593 4.82 ± 2.456 5.79 ± 2.469
 Single 6.00 ± 3.449 5.89 ± 3.359 7.31 ± 2.585 4.64 ± 1.771 5.90 ± 2.227
p value 0.878 0.446 0.130 0.806 0.882
Educational status
 Illiterate 6.50 ± 2.748 6.58 ± 3.402 6.83 ± 2.455 4.58 ± 2.612 6.07 ± 2.632
 Literate 6.93 ± 2.311 7.34 ± 1.739 6.77 ± 2.632 5.79 ± 1.912 6.68 ± 1.961
 Primary school 5.81 ± 3.330 6.46 ± 3.157 6.25 ± 2.683 4.78 ± 2.165 5.78 ± 2.362
 High school 3.72 ± 3.473 5.03 ± 2.767 5.37 ± 3.076 3.97 ± 2.617 4.46 ± 2.404
p value 0.254 0.589 0.703 0.545 0.404
Economic status
 Good 9.13 ± 0.639 7.72 ± 1.874 8.96 ± 0.865 6.13 ± 1.697 7.95 ± 0.873
 Moderate 5.66 ± 2.964 6.26 ± 3.191 6.04 ± 2.710 4.65 ± 2.387 5.61 ± 2.460
 Bad 4.13 ± 4.526 6.75 ± 1.792 6.35 ± 1.063 4.33 ± 1.312 5.28 ± 1.647
p value 0.029 0.586 0.061 0.369 0.103
Working status
 Working 7.54 ± 1.702 9.30 ± 0.872 7.95 ± 1.215 5.42 ± 1.965 7.45 ± 0.794
 Non-working 5.74 ± 3.201 6.20 ± 2.993 6.22 ± 2.678 4.72 ± 2.318 5.67 ± 2.429
p value 0.275 0.046 0.209 0.564 0.154

Values are presented as mean ± SD.

Table 6.
Relationship between fatigue and some variables related to sociodemographic and social support
Characteristic B SE β t p value 95% CI for B
Sociodemographic characteristics
 Marital status –0.167 3.246 –0.008 –0.052 0.959 –6.719 to 6.384
 No. of children –0.202 0.692 –0.045 –0.292 0.772 –1.599 to 1.195
 Status of education –1.758 1.519 –0.183 –1.158 0.253 –4.823 to 1.306
 Status of working –10.177 5.672 –0.292 –1.794 0.080 –21.623 to 1.270
 Economical status –6.105 3.171 –0.273 –1.925 0.061 –12.506 to 0.295
 Age 3.268 3.689 0.158 0.886 0.381 –4.177 to 10.713
Support persons
 Partner 1.747 3.336 0.081 0.524 0.603 –4.989 to 8.483
 Children –1.357 3.170 –0.071 –0.428 0.671 –7.760 to 5.046
 Mother 8.425 7.496 0.174 1.124 0.268 –6.713 to 23.564
 Brothers/sisters 5.385 7.419 0.112 0.726 0.472 –9.597 to 20.367
 Bridge 3.278 4.813 0.104 0.681 0.500 –6.443 to 12.999
 Niece 1.916 10.069 0.028 0.190 0.850 –18.419 to 22.251
 Neighbour 9.725 10.220 0.144 0.952 0.347 –10.915 to 30.365
Level of relations
 Partner 0.296 1.048 0.040 0.283 0.778 –1.814 to 2.407
 Children 0.759 1.810 0.058 0.419 0.677 –2.887 to 4.405
 Relatives 22.617 10.128 0.777 2.233 0.031 2.218 to 43.017
 Friends –15.459 9.481 –0.567 –1.631 0.110 –34.554 to 3.637

SE, standard error; CI, confidence interval.

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