Prediction models of health-related quality of life in different neck pain conditions: a cross-sectional study

Abstract

Purpose

The main aim of the study was to predict the health-related quality of life (HRQoL) based on physical, functional, and psychological measures in patients with different types of neck pain (NP).

Materials and methods

This cross-sectional study included 202 patients from a primary health center and the physiotherapy outpatient department of a hospital. Patients were divided into four groups according to their NP characteristics: chronic (CNP), acute whiplash (WHIP), chronic NP associated with temporomandibular dysfunction (NP-TMD), or chronic NP associated with chronic primary headache (NP-PH). The following measures were performed: Short Form-12 Health Survey (SF-12), Neck Disability Index (NDI), visual analog scale (VAS), State-Trait Anxiety Inventory (STAI), Beck Depression Inventory (BECK), and cervical range of movement (CROM).

Results

The regression models based on the SF-12 total HRQoL for CNP and NP-TMD groups showed that only NDI was a significant predictor of the worst HRQoL (48.9% and 48.4% of the variance, respectively). In the WHIP group, the regression model showed that BECK was the only significant predictor variable for the worst HRQoL (31.7% of the variance). Finally, in the NP-PH group, the regression showed that the BECK, STAI, and VAS model predicted the worst HRQoL (75.1% of the variance).

Conclusion

Chronic nonspecific NP and chronic NP associated with temporomandibular dysfunction were the main predictors of neck disability. In addition, depression, anxiety, and pain were the main predictors of WHIP or primary headache associated with CNP.

Introduction

Neck pain (NP) is a common problem that most people experience at some point in their lives; it is also frequently encountered in clinical practice.^1–5 The impact of NP is well known and can be a socially related problem for families, work, the health system, and the economy.^3–6 In Spain, a recent study reported that the prevalence of this disease was increased from 2008/9 to 2011/12, particularly isolated NP (7.86% vs 8.56%) as well as NP with lower back pain (10.61% vs 11.12%) in the last 3 years.⁴ The prevalence of NP is generally higher in women than men and usually increases with age; there is evidence that the younger population has a better prognosis for improvement.^4,5 Given recent research, the relationship between different clinical conditions and NP (or neck disability) have been observed, including temporomandibular dysfunction (TMD), primary headaches, and/or whiplash.^7–10 According to recent research, NP with migraine is more likely to be a component of the attack than a related symptom.¹¹ Different studies show data that are in agreement with this correlation, ie, between NP and primary headaches.^12–15

People with NP may have associated psychological factors, including anxiety, depression, catastrophizing, and fear of movement.¹⁶ A survey revealed that 20% of patients with chronic pain disorders are also diagnosed with depression.¹⁷ There is growing evidence that psychological factors influence the course of NP and become potential risk factors for chronic pain.^16,18 People with NP and various psychological factors reported greater disability, including increased risk of chronic disability.^19,20 However, several studies found that patients with whiplash-related disorders had psychological issues, such as post-traumatic stress symptoms, catastrophizing about pain, and symptoms of depression and lower expectations for recovery, which then predicts a poor recovery.^2,21–23

In recent years, the literature indicates that these factors directly affect the health-related quality of life (HRQoL) for patients with chronic pain.^17,24–31 HRQoL has become increasingly important, as it combines the evaluation and treatment of the patient’s perception of the disease’s impact; this is especially relevant for patients with chronic diseases and disabilities.^17,24–31 With respect to NP, which can similarly be chronic and disabling, evidence about HRQoL in the general population is low, but there are studies that show how people suffering with NP also have impaired HRQoL;^26,27,31,32 this suggests that those with NP have limitations in their social sphere and that physical activity and the capacity to work is reduced.²⁷ A high level of neck disability is also associated with higher levels of NP and a generally poor HRQoL, along with a worse mental component of HRQoL.³³ However, in the recent literature, there are controversial conclusions regarding NP and HRQoL. Lin et al found that those with NP had a poorer HRQoL, with a lower score on the mental component of the Short Form-36 Health Survey (SF-36).³¹ Nolet et al²⁶ found that NP was negatively associated with physical issues, but not necessarily with the mental component of HRQoL. Musculoskeletal disorders related to maxillofacial and head and NP may produce physical impairment, such as movement alterations or regional anatomical disorders; these include functional limitations, such as disability in daily activities, and also affect the patients’ quality of life (QoL).³⁴

The hypothesis is that predictors for HRQoL can be different, depending on the type of NP. The aim of this study was to analyze this variable and explore its correlation with physical, functional, and psychological measures and be better able to determine which predictive factors are present in patients with certain types of NP and a lower QoL.

Materials and methods

This research was a cross-sectional study to assess how NP affects QoL and whether different physical and psychological variables also influence it. Our investigation was conducted according to the STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) statement,⁶² which was defined between 2013 and 2016.

The research team included 10 physiotherapists, each having 5–10 years of clinical experience in orthopedic manual therapy. One training session reviewed how to perform the procedure along with measurements of cervical range of movement (CROM).

Ethics approval and consent to participate

The Ethics Committee for Clinical Research of Hospital Universitario La Paz (Madrid, Spain) (Code PI-1241) approved this study. All voluntary participants signed their written consent form before the study began. Research ethical standards on human experimentation beings were considered according to the World Medical Association of Helsinki Declaration, the Europe Council Convention on Human Rights & Biomedicine, the UNESCO Universal Declaration on the Human Genome and Human Rights as well as other relevant national requirements.

Participants

Two hundred and two patients participated in this study, recruited via referral from the physiotherapy outpatient department of the Primary Health Care Centre of Coslada (Madrid, Spain) and the Hospital Universitario La Paz (Madrid, Spain). We included subjects who were between 18 and 65 years old; they understood, wrote, and spoke Spanish correctly, and complained of pain localized to the neck region. Patients were divided into four groups according to their NP characteristics: chronic NP (CNP, >12 weeks), NP associated with acute whiplash (WHIP), chronic NP associated with TMD (NP-TMD), and chronic NP associated with chronic primary headache (NP-PH).³⁵ Patients with NP-TMD and NP-PH were recruited from specific units by a medical specialist, who selected them according to the Diagnostic Criteria for TMD and the International Headache Classification, respectively.^36,37 Participants were not considered if they reported any of the following conditions: physical therapy in the previous 3 months, psychiatric disorders, a medical red flag history (tumors, fractures, metabolic diseases, rheumatoid arthritis, or osteoporosis), NP with cervical radiculopathy, NP associated with externalized cervical disc herniation, fibromyalgia syndrome, previous neck surgery, or NP accompanied by vertigo, primarily caused by vertebrobasilar insufficiency. To avoid the overlap of fibromyalgia with a nonspecific chronic pain diagnosis, a physician conducted the test for a clinical diagnosis of fibromyalgia, according to the American College of Rheumatology.³⁸

After checking that each of the subjects met the inclusion criteria (and did not include any of the exclusion criteria), they were asked to read and give their informed consent.

Outcome measures

The HRQoL was the selected primary outcome. The SF-12 v 2 is a multipurpose, short-form survey that includes 12 items (taken directly from the SF-36 v 2). The SF-12 v 2 yields 8 scale scores (physical functioning [PF], role-physical [RP], bodily pain [BP], general health [GH], vitality [VT], social functioning [SF], role-emotional [RE], and mental health [MH]). Four scale scores (PF, RP, RE, and MH) were calculated using two items, whereas the remaining scales (BP, GH, VT, and SF) were represented by one item. Twelve items were derived from two summary measures (ie, the physical component summary and the mental component summary).^39,40 This questionnaire showed strong psychometric properties and a correlation of 0.94 between SF-36 and SF-12 in the Spanish population.^41,42 Several worded items were recoded, with higher scores indicating a better condition. Scale scores were transformed to a 0–100 range, based on the scoring manual.

Neck Disability Index (NDI)

The NDI is a validated 10-item questionnaire, with each item rated on a 6-point scale.⁴³ The NDI has sufficient support in the field as the most commonly used instrument for NP,^43–45 along with a Spanish form of the index.⁴⁶ We divided the sample into five groups of disabilities: scores <4 indicate no disability, 5–14 mild disability, 15–24 moderate disability, 25–34 severe disability, and >35 complete disability. In this study, the complete disability group was not included, due to the small sample size.

Visual analog scale (VAS)

Pain intensity was measured via the VAS, a 100 mm horizontal line with pain descriptors marked “no pain” on the left side and “the worst pain imaginable” on the right side. The patient was asked for pain intensity by marking the VAS with a perpendicular line (in that it is a reliable and valid measure of pain).^47,48

State-Trait Anxiety Inventory (STAI)

The STAI was used to measure anxiety in patients with NP. It is a questionnaire measuring trait anxiety (a personality factor that predisposes a patient to experience anxiety) and the anxiety state (environmental factors that protect or generate anxiety). Each of the two subscales (trait anxiety and state anxiety) consists of 20 items, scored from 0 (none) to 3 (very much).⁴⁹ The two subscales have high convergent validity, when combined with other measures of related anxiety.⁵⁰

Beck Depression Inventory (BECK)

The BECK is one of the most widely used screening tools for measuring the severity of depression in patients over 13 years of age. The inventory is composed of items related to depressive symptoms, such as hopelessness and irritability, specific and persistent thoughts (guilt or feelings of being punished), and physical symptoms (fatigue, weight loss, and lack of sexual interest). BECK contains 21 items and identifies symptoms and attitudes associated with depression. The respondent must recall the relevance of each statement on the day of testing: mood, pessimism, sense of failure, lack of satisfaction, guilt, sense of punishment, self-hatred, self-accusations, self-punitive wishes, crying spells, irritability, social withdrawal, indecisiveness, body image dysmorphia, work inhibition, sleep disturbance, fatigue, appetite and weight loss, somatic preoccupation, and loss of libido. Each item is evaluated on a severity scale ranging from 0 to 3, with a total score ranging from 0 to 63: a score of 0–10 on the BDI indicates absent or minimal depression, 11–18 mild to moderate depression, 19–29 moderate depression, and 30–63 severe depression. This assessment was previously used in those with NP.^25,51,52

Cervical range of movement

Active ranges of movement of the cervical spine were evaluated with CROM, a test consisting of three inclinometers attached to a lightweight, plastic frame, and secured with fastening straps. The protocol involves a sequence of three measurements, with an interval of 30 seconds between each one. The CROM test has good intra-rater reliability for subjects with and without NP (intraclass correlation coefficient = 0.87–0.94 in asymptomatic subjects and intraclass correlation coefficient = 0.88–0.96 in NP subjects).⁵³ The following movements were measured: flexion and extension, right and left lateral flexion, and right and left rotation.

Potential confounders

Sociodemographic data such as gender and age were assessed as potential confounders.

Procedure

The data collection was performed in a room in which only the assessor and patient were present. The assessor first explained the experiment, so that patients could give their informed consent. The questionnaires were filled out, and the CROM test was performed. The study was carried out before patients began treatment with the physiotherapy service.

Biases

To avoid potential bias, a researcher was in charge of recruiting and informing patients about the study, understanding the clinical status of the subject, and explaining that the patient should not discuss their kind of pain with the assessor (who would be taking the measurements). The assessors were all responsible for collecting outcome data without being aware of the group of subjects. Data were collected from different centers, and this information was sent to another researcher responsible for conducting the analysis.

Sample size

Sample size and power calculations were performed with appropriate software (G*Power 3.1).⁵⁴ This study was based on a model of linear multiple regression, and HRQoL was the primary outcome, with an effect size of 0.35. Given an alpha level of 0.05 and a power of 0.85, four groups were generated with a total sample size of 176. The groups included CNP, WHIP, NP-PH, and NP-TMD, with a minimum of 44 participants per group.

Data analysis

Statistical analysis was performed with the Statistical Package for the Social Sciences, version 20 (IBM Corporation, Armonk, NY, USA). To test the relationship between QoL, psychological symptoms, and other variables (NDI, VAS, STAI, and BECK), we performed a one-way ANOVA to verify which ones entailed statistically significant effects and performed the correlation test. Pearson’s correlation was calculated separately for CNP, WHIP, NP-TMD, and NP-PH groups. For all analyses, statistical significance was set at P < 0.05.

HRQoL SF-12 v 2 was the independent variable in the logistic regression analysis and was used to examine associations between different subgroups of patients assessed by STAI, BECK, VAS, and NDI. Selection was constrained by the number of possible dependent variables, since the final groups with CNP, WHIP, NP-PH, and NP-TMD included N = 50, N = 54, N = 53, and N = 45, respectively.

Results

Participants and descriptive data

A total of 202 patients with NP met the inclusion criteria and agreed to enter the study, leaving a sample of ~50 per group (except NP-TMD, n = 45). The mean age of the sample was 35.91 ± 13.36 years, with most of them being female (74.6%). The descriptive characteristics of the participants are shown in Table 1.

Table 1.

Characteristics of the groups

	CNP (n = 50)	WHIP (n = 54)	NP-PH (n = 53)	NP-TMD (n = 45)
Age (years)	29.56 ± 10.62	32.46 ± 10.01	48.62 ± 13.22	36.75 ± 10.79
Gender, female, n (%)	36 (72.0)	25 (46.3)	49 (92.5)	41 (91.1)
Male, n (%)	14 (28)	29 (53.7)	4 (7.5)	4 (8.9)
Total SF-12 (%)	64.28 ± 21.93	36.95 ± 19.47	41.46 ± 19.24	61.62 ± 22.05
Physical SF-12 (%)	67.05 ± 26.65	31.15 ± 17.67	37.08 ± 23.84	60.67 ± 26.64
Mental SF-12 (%)	61.52 ± 23.19	42.75 ± 25.62	45.85 ± 20.1	62.58 ± 22.76
NDI (0–50)	13.06 ± 6.86	29.76 ± 9.05	18.89 ± 8.25	12.82 ± 5.14
VAS (mm)	41.1 ± 20.04	60.38 ± 24.58	60.4 ± 18.67	44.23 ± 21.68
BECK (0–63)	8.14 ± 5.49	14.57 ± 9.38	18.58 ± 10.49	15.4 ± 9.59
STAI (0–60)	26.2 ± 4.08	25.72 ± 6.9	24.86 ± 6.85	24.33 ± 6.37
CROMs (grades)
Flexion	47.72 ± 14.36	25.82 ± 10.58	47.02 ± 9.37	48.47 ± 14.55
Extension	55.69 ± 14.11	25.3 ± 12.7	63.97 ± 15.02	65.8 ± 16.19
Left rotation	59.04 ± 12.5	28.95 ± 13.74	61.68 ± 9.43	64.81 ± 11.26
Right rotation	57.32 ± 10.94	27.56 ± 13.11	62.8 ± 8.76	64.31 ± 7.68
Left lateral flexion	39.45 ± 8.84	23.17 ± 8.11	40.25 ± 7.00	41.23 ± 8.71
xRight lateral flexion	36.87 ± 9.12	24.33 ± 8.07	37.76 ± 6.89	38.58 ± 8.4

Note: Values are mean ± SD and n (%).

Abbreviations: CNP, chronic neck pain; WHIP, neck pain associated with acute whiplash; NP-PH, neck pain associated with chronic primary headache; NP-TMD, neck pain associated with temporomandibular dysfunction; NDI, Neck Disability Index; VAS, visual analog scale; BECK, Beck Depression Inventory; STAI, State-Trait Anxiety Inventory; CROM, cervical range of movement; SF-12, Short Form-12 Health Survey.

Main results

Associations (Pearson correlation coefficients) between the (SF-12 v 2 physical, SF12 v 2 mental, SF-12 v 2 total) QoL variables and VAS, NDI, BECK, and STAI are listed in Table 2. Considering that the values of r require a moderate or high correlation, they were between 0.50–0.70 and 0.70–0.90, respectively;⁵⁵ a strong correlation was observed between the NDI and SF-12 v 2 physical in the CNP (r = −0.728), WHIP (r = −0.515), and NP-TMD (r = −0.583) groups, and between depression and SF-12 v2 total in the NP-PH (r = −0.814) and WHIP (r = −0.575) groups. For CROMs, the strongest correlations were observed in the CNP group: between SF-12 v 2 physical with flexion and extension (r = 0.563 and r = 0.517, respectively) and SF-12 v 2 total with flexion (r = 0.59). In the NP-TMD group, we found a correlation between SF-12 v 2 physical and flexion (r = 0.493). No correlations were found in the WHIP or NP-PH groups for CROMs.

Table 2.

Correlation coefficients between measures

	SF-12 total	SF-12 physical	SF-12 mental	NDI	VAS	STAI	BECK
Chronic neck pain
SF-12 total	1	0.896**	0.861**	−0.682**	−0.137	−0.191	−0.556**
SF-12 physical		1	0.546**	−0.728**	−0.056	−0.141	−0.493**
SF-12 mental			1	−0.453**	−0.201	−0.199	−0.486**
NDI				1	0.142	0.227	0.575**
VAS					1	0.118	0.179
STAI						1	0.405**
BECK							1
Acute whiplash
SF-12 total	1	0.851**	0.932**	−0.468**	−0.083	−0.177	−0.575**
SF-12 physical		1	0.604**	−0.515**	−0.101	−0.271	−0.414**
SF-12 mental			1	−0.355**	−0.057	−0.082	−0.588**
NDI				1	0.338*	0.114	0.529**
VAS					1	−0.049	0.292
STAI						1	−0.016
BECK							1
Neck pain with primary headache
SF-12 total	1	0.897**	0.851**	−0.476**	−0.29	−0.151	−0.814**
SF-12 physical		1	0.531**	−0.422*	−0.083*	−0.93	−0.673**
SF-12 mental			1	−0.411*	−0.043	−0.178	−0.76**
NDI				1	0.41*	0.128	0.52**
VAS					1	0.088	0.133
STAI						1	−0.028
BECK							1
Neck pain with temporomandibular dysfunction
SF-12 total	1	0.909**	0.873**	−0.637**	−0.474*	−0.125	−0.389*
SF-12 physical		1	0.591**	−0.583**	−0.425*	0.256	−0.299
SF-12 mental			1	−0.551**	−0.414*	−0.057	−0.406*
NDI				1	0.442**	−0.026	0.211
VAS					1	0.026	−0.227
STAI						1	0.225
BECK							1

Notes:

^*P < 0.05;

^**P < 0.01.

Abbreviations: NDI, Neck Disability Index; VAS, visual analog scale; BECK, Beck Depression Inventory; STAI, State-Trait Anxiety Inventory; SF-12, Short Form-12 Health Survey.

Regression models for criteria variables (SF-12 v 2 HRQoL) are presented in Table 3. The regression models used different predictors for a negative HRQoL: NDI predicted poor HRQoL for the CNP group (48.9% of variance), and BECK predicted poor HRQoL for the WHIP and NP-PH groups (31.7% and 65.9% of variance, respectively). For the NP-PH group, BECK and STAI together predicted 70.3% of the variance, while BECK, STAI, and VAS all predicted 75.1% of the variance. In the NP-TMD group, NDI was the only significant predictive variable (48.4% of variance).

Table 3.

Regression model for SF-12 total in each neck pain group

Criterion variable: SF-12
Group
CNP	Overall model
	R2 = 0.5, adjusted R2 = 0.489, F = 44.943
	Predictor variables	Regression coefficient (B)	Standardized coefficient (β)	P-value	VIF
	NDI	−2.343	−0.707	<0.001**	1.00
	Excluded variables
	BECK	–	−0.188	0.186	1.806
	STAI	–	−0.019	0.861	1.064
	VAS	–	−0.038	0.728	1.021
WHIP	Overall model
	R2 = 0.33, adjusted R2 = 0.317, F = 25.145
	Predictor variables	Regression coefficient (B)	Standardized coefficient (β)	P-value	VIF
	BECK	−1.182	−0.236	<0.001**	1.00
	Excluded variables
	NDI	–	−0.226	0.096	1.396
	STAI	–	−0.184	0.108	1.00
	VAS	–	0.97	0.426	1.098
NP-HP	Overall model
	R2 = 0.781, adjusted R2 = 0.751, F = 26.187
	Predictor variables	Regression coefficient (B)	Standardized coefficient (β)	P-value	VIF
	BECK	−1.758	−0.907	<0.001**	1.084
	STAI	−0.85	−0.253	0.02*	1.017
	VAS	0.321	0.243	0.028*	1.077
	Excluded variables
	NDI	–	0.118	0.366	1.633
NP-TMD	Overall model
	R2 = 0.505, adjusted R2 = 0.484, F = 23.495
	Predictor variables	Regression coefficient (B)	Standardized coefficient (β)	P-value	VIF
	NDI	−2.573	−0.711	<0.001**	1.00
	Excluded variables
	BECK	–	-0.158	0.302	1.048
	STAI	–	0.238	0.108	1.012
	VAS	–	-0.130	0.462	1.375

Notes:

^*P < 0.05;

^**P < 0.01.

Abbreviations: VIF, variance inflation factor; CNP, chronic neck pain; WHIP, neck pain associated with acute whiplash; NP-PH, neck pain associated with chronic primary headache; NP-TMD, neck pain associated with temporomandibular dysfunction; NDI, Neck Disability Index; VAS, visual analog scale; BECK, Beck Depression Inventory; STAI, State-Trait Anxiety Inventory; SF-12, Short Form-12 Health Survey.

Discussion

In this cross-sectional study, we predicted the HRQoL for different types of NP (nonspecific chronic pain, acute whiplash, chronic migraine subjects with NP, and temporomandibular pain associated with NP) based on neck disability, pain intensity, anxiety, and depression. Our results showed differences in NP types analyzed, and we provided data that indicated (despite having common pain in the cervical region) the correlations and predictors of HRQoL were different: neck disability for the CNP and NP-TMD groups and depression and anxiety for the WHIP and NP-H groups. The literature shows that HRQoL in nonspecific NP was not screened if subjects had migraines, primary headaches, or TMD.^26,31,33 This is the first study to observe the differences in the physical and mental spheres of HRQoL by comparing different patient groups with different types of NP. These findings may be based on CNP and NP-TMD, showing an association with the patients’ disability; they could also be influenced by work activity and modified HRQoL prediction models.⁵⁶ Depression and anxiety may lead to chronic headaches from whiplash injury that produce mild to moderate pain.⁵⁷

Regarding the CNP group, Leaver et al³³ indicated that poor GH, higher pain levels, and lower SF-12 mental component scores were independently associated with higher levels of disability. The SF-12 mental portion showed a negative correlation with psychological measurements, as supported by previous studies in which patients’ MH, as a function of CNP, was associated with various psychological factors.³¹ Nolet et al²⁶ found that NP was negatively correlated with physical but not with mental HRQoL – possibly since they used depression as a confounding variable, although our study did not. Our results indicate that the two areas of HRQoL are negatively correlated with depression in patients with chronic NP.

Regarding the WHIP group, Kenardy et al⁵⁸ reported that patients with traffic crash-related injuries were affected with poor physical and mental HRQoL when comorbid psychological disorders and intense pain were present. Psychological disorders are in line with our study, but pain levels were not correlated with HRQoL. In contrast, Kenardy et al⁵⁸ observed a correlation between pain levels and HRQoL, likely due to characteristics of their sample; they used a different tool to measure pain, as their subjects were chronic, whereas our subjects suffered mainly from acute pain. A recent study by Williamson et al¹⁹ found an association between disability and psychological and behavioral factors in WHIP. Our data also support this, as we report negative correlations between disability and spheres of HRQoL, pain levels, along with anxiety.

Lantéri-Minet et al⁵⁹ found reduced HRQoL with more pronounced disability; they were associated with depression and anxiety in subjects with migraine but were not for those with depression alone. They also observed that depression was associated with low levels of HRQoL in the physical realm. This differs with our regression model, which showed that depression on its own (65.9% of variance) and depression associated with anxiety (70.3% of variance) were significant predictors of extreme HRQoL. Depression itself was a predictor in our results, but not in those of Lantéri-Minet et al,⁵⁹ which may be due to the association of NP in our sample. Furthermore, due to a lack of studies on HRQoL for migraine and NP subjects, we could not compare our results with other studies.

Previous research also did not compare HRQoL in patients with TMD or TMD associated with NP. Thus, the data presented in this study suggest that neck disability, pain intensity, and anxiety are negatively correlated with the physical sphere of HRQoL – while only neck disability has been negatively correlated with the mental sphere of HRQoL.

Total HRQoL was the independent variable used in multiple linear regression models for this study. According to this, the CNP (48.9% of variance) and NP-TMD (48.4% of variance) groups’ neck disability significantly predicted the worst kind of HRQoL. Depression was similarly a significant predictor of the worst HRQoL in the WHIP (31.7% of variance) and NP-PH (65.9% of variance) groups. These data may offer clues to clinicians about what could be included in treatment for an optimally effective approach.

Limitations

This study has several limitations: first was the lack of a control group, precluding the possibility of assessing the QoL in comparison to the healthy population – and to see if the HRQoL of patients with NP was worse; however, we were aware that HRQoL in NP patients was considerably lower than that of the general population (vs other study results).²⁹ The second involved education and occupation in the sample, which were not included as sociodemographic cofounders; this should be considered for future research, as other studies report on this for NP.⁶⁰ Furthermore, there were moderately positive correlations for ranges of motion and health quality in patients with CNP and NP-TMD, but we could not perform a regression analysis, as our sample size was too small and only four variables could be included (NDI, VAS, STAI, and BECK).

In the future, the authors will consider other predictors that could influence HRQoL, but in this study we could not do so due to an excess of predictors. Continued studies will include other psychological scales and determine the effect of certain patient aspects. Despite that all outcome measurements were assessed with validated and reliable tools and measurement protocols, there was bias due to the Hawthorne effect (secondary to the patient’s surveillance), which may modify normal conduct after being observed. To control for this bias, a detailed explanation protocol for each test will be performed with specific instructions, discussed by assessors with patients under the same conditions.⁶¹

Implications

On the one hand, this study yields data on the HRQoL of different types of NP, which can be used in clinical practice and research. On the other hand, future studies should discuss these results and continue to study the HRQoL of different kinds of etiologies associated with NP. Regarding the clinical implication of this study (according to our prediction models), interventions to improve neck functionality should be a key focus of patient treatment for CNP and NP-TMD, while psychological interventions to reduce depression and anxiety should be a main focus for WHIP and NP-H. The HRQoL of patients with NP may be improved by interdisciplinary health teams to achieve adequate diagnosis, management, and sustainable outcomes.³⁴

Conclusion

We found that chronic nonspecific NP and chronic NP associated with TMD predict neck disability. For patients with WHIP or primary headache associated with CNP, HRQoL can be anticipated by depression, anxiety, and pain. These results should be interpreted with caution, especially when a therapeutic approach is recently included.

Availability of data and material

Please contact corresponding author for data requests.