Association of Back Pain with All-Cause and Cause-Specific Mortality Among Older Women: a Cohort Study

Abstract

Background

The impact of back pain on disability in older women is well-understood, but the influence of back pain on mortality is unclear.

Objective

To examine whether back pain was associated with all-cause and cause-specific mortality in older women and mediation of this association by disability.

Design

Prospective cohort study.

Setting

The Study of Osteoporotic Fractures.

Participants

Women aged 65 or older.

Measurement

Our primary outcome, time to death, was assessed using all-cause and cause-specific adjusted Cox models. We used a four-category back pain exposure (no back pain, non-persistent, infrequent persistent, or frequent persistent back pain) that combined back pain frequency and persistence across baseline (1986–1988) and first follow-up (1989–1990) interviews. Disability measures (limitations of instrumental activities of daily living [IADL], slow chair stand time, and slow walking speed) from 1991 were considered a priori potential mediators.

Results

Of 8321 women (mean age 71.5, SD = 5.1), 4975 (56%) died over a median follow-up of 14.1 years. A higher proportion of women with frequent persistent back pain died (65.8%) than those with no back pain (53.5%). In the fully adjusted model, women with frequent persistent back pain had higher hazard of all-cause (hazard ratio [HR] = 1.24 [95% CI, 1.11–1.39]), cardiovascular (HR = 1.34 [CI, 1.12–1.62]), and cancer (HR = 1.33, [CI 1.03–1.71]) mortality. No association with mortality was observed for other back pain categories. In mediation analyses, IADL limitations explained 47% of the effect of persistent frequent back pain on all-cause mortality, slow chair stand time, and walking speed, explained 27% and 24% (all significant, p < 0.001), respectively.

Limitations

Only white women were included.

Conclusion

Frequent persistent back pain was associated with increased mortality in older women. Much of this association was mediated by disability.

Electronic supplementary material

The online version of this article (10.1007/s11606-018-4680-7) contains supplementary material, which is available to authorized users.

INTRODUCTION

Back pain is the leading cause of disability worldwide.¹ Women aged 40–80 years have the highest prevalence of back pain.² Additionally, women report more frequent and disabling back pain compared to men.^3–5 While the relationship between back pain and disability in older women is well-established,^{6, 7} back pain’s impact on mortality remains unclear.

Nine studies evaluating the relationship between back pain and mortality have produced conflicting results.^8–16 Two studies separated back pain into multiple phenotypes based on pain frequency or impact on physical function, both found an elevated risk of mortality among older women.^{14, 15} Other studies dichotomized back pain exposure; of these, two observed a small increase in mortality among older adults but did not provide sex-specific results,^{13, 16} and five found no association.^8–12 All previous studies measured back pain at a single time point. However, the impact of back pain on disability or general health varies substantially, and infrequent or temporary symptoms may not have major health consequences. Categorizing frequency and persistence of back pain symptoms over time may provide better understanding of these relationships. Thus, there is a need to elucidate whether back pain is associated with mortality in older adults, and older women may represent a high-risk group.

Back pain may increase mortality risk through several mechanisms. Disability might be one mechanism: studies found that disabling back pain increased mortality risk¹⁶ and that baseline-level disability attenuated the association between back pain and mortality.¹³ However, previous studies have not examined whether consequences of back pain contributed to early death (i.e., mediators [e.g., disability]). Such mediation analyses could identify pathways by which back pain may increase the risk of mortality.

We assessed the impact of back pain on all-cause and cause-specific mortality over 16 years in the Study of Osteoporotic Fractures (SOF), a large prospective cohort study of older community-dwelling women. In contrast to previous studies, we measured back pain frequency at two time points, thereby differentiating levels of back pain by frequency and persistence. Additionally, we assessed whether the association between back pain and mortality operated through subsequent disability¹⁷ (i.e., self-reported limitations in instrumental activities of daily living (IADLs) or performance-based physical function impairments [slow chair stand or walking speed]) and quantified the amount of these effects. We hypothesized that (1) compared to older women without back pain, those with frequent back pain persisting over 2 years would have the highest mortality risk and those with less frequent pain would have an intermediate risk of mortality over a 16-year period; and (2) the association of back pain with mortality would be partially mediated by disability.

METHODS

Study Design and Data Source

SOF is a prospective cohort study of 9704 community-dwelling white women 65 years or older. SOF was originally designed to assess risk factors for the development of osteoporosis and osteoporotic fractures in healthy white women, as described elsewhere.¹⁸ Briefly, participants were enrolled from 1986 to 1988 from four US-based geographic regions (Baltimore, MD; Minneapolis, MN; Monongahela Valley, PA; Portland, OR). Non-white women and women unable to walk independently or who had bilateral hip replacements were excluded. Data were collected during clinical interviews and physical examinations at baseline and approximately every 2 years through 2008.

Study Cohort

Our sample was comprised of SOF participants with self-report information on back pain at baseline (visit 1 [V1], 1986–1988) and the first follow-up visit (visit 2 [V2], 1989–1990) who had complete information for covariables used in multivariable models. Variables for mediation analyses came from visit 3 (V3, 1991); therefore, participants who died before visit 3 were excluded from the mediation analyses. This study was approved by the Institutional Review Boards at each SOF clinical site and at Boston University Medical Campus.

Assessment of Back Pain

We created a four-category back pain variable: (1) no back pain, (2) non-persistent, (3) infrequent persistent, or (4) frequent persistent back pain. At V1 and V2, participants were asked, “Have you experienced back pain in the past 12 months?” and, if yes, “How often do you experience back pain?” Participants reporting back pain symptoms “most of the time” or “constantly” at both time points were classified as having “frequent persistent” back pain. Participants with back pain on both visits who reported back pain “some of the time” or “infrequently” at one or both visits were classified as having “infrequent persistent” back pain. Back pain reported at only one time point was characterized as “non-persistent” back pain. Participants who reported no back pain at both visits were classified as “no back pain.” To assure this four-category classification was consistent with other SOF back pain measures, we compared it with other self-report measures: back pain intensity (severe, moderate, mild), back pain site(s) (lower, middle, upper), number of back pain sites (one, two, or three regions), back pain interference with activities of daily living (yes/no), and difficulty lifting 10 pounds due to back pain (none, some, much, unable). Additionally, reported age of first back pain episode ever was compared among exposure groups.

Ascertainment of Deaths

All-cause and disease-specific mortality was determined from V2 to visit 9 (V9, 2006–2008). In addition to comprehensive clinical visits approximately every 2 years, participants were contacted by mail or telephone every 4 months to assess outcomes, including vital status which was confirmed by review of death certificates. We used ICD-9 codes to classify deaths as due to cardiovascular disease (401–404, 410–414, 425, 428, 429.2, 430–438, 440–444, 798), cancer (140–239.9), and pulmonary (415–417, 480–487, 490–496, 500–508.8, 510–519) diseases.¹⁹

Potential Confounders

Measurements of potential confounders were obtained from SOF V2 when available, since this was the most recent assessment of back pain; otherwise, they were obtained from V1. Sociodemographic variables included age, highest education level (high school graduate or less), currently married (yes/no), living alone (yes/no), and SOF site. Participants reported self-rated health (excellent vs. good/fair/poor) and smoking status (current/previous vs. never). Body mass index (BMI, calculated as weight in kilograms divided by height in meters squared) was measured and categorized as obese (BMI > 30.0 kg/m²) or non-obese. Hypertension was defined as a systolic blood pressure above 140 mmHg and/or diastolic blood pressure above 90 mmHg. Prevalent vertebral fractures (yes/no) were identified at V1 using vertebral morphometry.¹⁹ Participants self-reported ever being diagnosed (yes/no) with arthritis, hip pain, diabetes, stroke, breast cancer, and breast surgery. Additionally, participants reported falls, hospitalizations, or anxiety medication use in the previous year.

Potential Mediators

Three measures of disability from V3 were considered a priori potential mediators: IADL limitations, slow chair stand time, and slow walking speed. Participants were characterized as having “IADL limitations” if they self-reported difficulty with performing one or more of five IADL tasks: (1) walking 2–3 blocks, (2) climbing up 10 steps, (3) preparing a meal, (4) performing heavy housework, and (5) shopping for groceries or clothes. Slow chair stand time²⁰ was based on taking longer than 17 s to stand from a seated position five times without using one’s arms, using arms for assistance, or being unable to perform this task; otherwise, participants were classified as having “normal” performance.^{21, 22} Walking speed was measured as the average time of two trials of walking a 6-m course at usual pace. Slow walking speed was defined as slower than 1.0 m per second.^{21, 22}

Statistical Analysis

Kaplan-Meier survival curves were used to plot survival according to back pain group. Participants contributed person-time starting at V2 until death, withdrawal from SOF, or censoring at V9.²³ We used Cox proportional hazards regression to calculate hazard ratios (HR) and 95% confidence intervals (CI) of the association between each of the three back pain categories vs. no back pain with all-cause and cause-specific mortality. Three multivariable models were conducted: age-adjusted, sociodemographic-adjusted, and fully adjusted including all potential confounders. Sensitivity analyses assessed the hazard of mortality associated with other self-reported back pain measures, described above.

We applied mediation methods^{24, 25} to calculate the direct and indirect effects of back pain on all-cause mortality and the proportion of effect mediated by each measure of disability, adjusted for potential confounders (Appendix Fig. 1). The natural indirect effect (NIE) describes the extent that the association of back pain with mortality is attributable to each measure of disability; the residual natural direct effect (NDE) quantified the effect not mediated by these disability measures. Since these analyses require a dichotomous exposure, we compared “frequent persistent back pain” to the three other groups combined. Natural direct and indirect effects were calculated using logistic regression and presented as odds ratios (OR) and 95% CI. The proportion of the total effect explained by the presence of each individual potential mediator (i.e., the proportion mediated on a risk difference scale) was calculated using the formula:

$$\text{proportion mediated}=\left[{\text{OR}}_{\mathrm{NDE}}\times \left({\text{OR}}_{\mathrm{NIE}}-1\right)\right]/\left[\left({\text{OR}}_{\mathrm{NDE}}\times {\text{OR}}_{\mathrm{NIE}}\right)-1\right]\times 100$$

SAS version 9.4 (SAS Institute, Cary, North Carolina) was used for all statistical analyses.

RESULTS

Of 9704 original SOF participants, 8915 had complete back pain data at V2; of these, 8321 had data on all covariates used in complete case analysis (Fig. 1). All were white women with a mean age of 71.5 years (SD 5.1) (Table 1). Approximately three-fourths of participants reported back pain and 9.5% reported frequent persistent back pain. Participants with frequent persistent back pain were less likely to report excellent health and more likely to have co-morbid musculoskeletal conditions (e.g., prevalent vertebral fracture, arthritis, hip pain), but did not differ on age or marital status. Compared to the women included in this sample, the 789 SOF participants excluded had more prevalent vertebral fractures and reported worse self-rated health, but otherwise did not differ on sociodemographic or health characteristics. Baseline characteristics of participants in the analytic sample were similar to those included in the survival and mediation analyses (Appendix Table 1).

Fig. 1.

Study flow diagram.

Table 1.

Baseline Characteristics of 8321 Older Women in the Study of Osteoporotic Fractures by Back Pain Exposure Status

	No back pain	Non-persistent back pain	Infrequent persistent back pain	Frequent persistent back pain
Variables†	(n = 2001)	(n = 1919)	(n = 3622)	(n = 779)
Socio-demographic
Age, years, mean (SD)	71.8 (5.1)	71.5 (5.1)	71.5 (5.1)	71.4 (5.1)
Education, > high school	764 (38.2)	757 (39.5)	1429 (39.5)	222 (28.5)
Married	965 (48.2)	963 (50.2)	1865 (51.5)	380 (48.8)
Living alone	855 (42.7)	772 (40.2)	1445 (39.9)	331 (42.5)
Health-related
General health, excellent	868 (43.4)	714 (37.2)	981 (27.1)	102 (13.1)
Current smoker	157 (7.9)	141 (7.4)	279 (7.7)	81 (10.4)
Obese	343 (17.1)	321 (16.7)	778 (21.5)	199 (25.6)
Prevalent vertebral fracture	304 (15.2)	348 (18.1)	767 (21.2)	214 (27.5)
Arthritis	892 (44.6)	1081 (56.3)	2591 (71.5)	666 (85.5)
Hip pain	242 (12.1)	437 (22.8)	1365 (37.7)	515 (66.1)
Fall in last year	465 (23.2)	546 (28.5)	1166 (32.2)	280 (35.9)
Hospitalized in last year	230 (11.5)	264 (13.8)	555 (15.3)	186 (23.9)
Hypertension	735 (36.7)	720 (37.5)	1344 (37.1)	344 (44.2)
Previous stroke	41 (2.1)	52 (2.7)	113 (3.1)	41 (5.3)
Diabetes	119 (6.0)	120 (6.3)	251 (6.9)	67 (8.6)
Breast cancer	87 (4.4)	115 (6.0)	189 (5.2)	38 (4.9)
Breast surgery	445 (22.2)	449 (23.4)	1034 (28.6)	208 (26.7)
Anxiety medication use	149 (7.4)	207 (10.8)	577 (15.9)	182 (23.4)
Deaths after 16 years of follow-up	1059 (52.9)	1043 (54.4)	1982 (54.7)	506 (65.0)

Back pain exposure status defined by combining self-report of back pain presence and frequency at visit 1 (1986–1988) and visit 2 (1988–1990)

^†Data are presented as number (percentage) of patients unless otherwise indicated

A total of 4590 participants (55.2%) died over a median follow-up length of 14.1 years. A higher proportion of participants with frequent persistent back pain died (65.0%) compared with those who reported no pain (52.9%), non-persistent pain (54.4%), or infrequent persistent back pain (54.7%). Participants with frequent persistent back pain were more likely than others to report back pain of severe intensity, restrict activity due to back pain, and be unable to lift 10 pounds (Appendix Table 2). Moreover, participants with frequent persistent back pain reported an earlier mean age of onset than those with infrequent persistent back pain (45 vs. 53 years) or non-persistent back pain (61 years). Our four-category back pain measure was significantly correlated with other SOF back pain measures, with correlation coefficients ranging from 0.38 to 0.85 (Appendix Table 3).

Kaplan Meier curves showed significant differences in survival for all-cause, cardiovascular, cancer, and pulmonary deaths (Fig. 2, Appendix Fig. 2a–c). Compared with women without back pain, those with frequent persistent back pain had a 46% increase in the hazard of all-cause mortality in age-adjusted analyses (HR = 1.46, 95% CI 1.32–1.61) (Table 2). This association was attenuated when adjusting for potential confounders (fully adjusted HR = 1.24, 95% CI 1.11–1.39). Women with frequent persistent back pain also had an elevated hazard of cardiovascular, cancer, and pulmonary mortality (fully adjusted HR = 1.34, 95% CI 1.12–1.61 and 1.33, 95% CI 1.03–1.71 and 1.32, 95% 0.95–1.83, respectively). We observed no increased hazard of all-cause or cause-specific mortality for non-persistent and infrequent persistent back pain.

Fig. 2.

Cumulative survival and back pain.

Table 2.

Hazard Ratios Between Back Pain and All-Cause and Cause-Specific Mortality Among 8321 Older Women in the Study of Osteoporotic Fractures, Visit 2 (1988–1990) to Visit 9 (2006–2008)

All-cause mortality	Death rate*	Age-adjusted HR (95% CI)	Socio-demographic†-adjusted HR (95% CI)	Fully adjusted‡ HR (95% CI)
No back pain	4280	Ref	Ref	Ref
Non-persistent back pain	4439	1.05 (0.96, 1.14)	1.05 (0.97, 1.14)	1.01 (0.93, 1.10)
Infrequent persistent back pain	4487	1.04 (0.97, 1.12)	1.04 (0.97, 1.12)	0.98 (0.91, 1.05)
Frequent persistent back pain	5887	1.46 (1.32, 1.61)	1.42 (1.28, 1.57)	1.24 (1.11, 1.39)
Cardiovascular mortality
No back pain	1501	Ref	Ref	Ref
Non-persistent back pain	1560	1.05 (0.92, 1.21)	1.07 (0.93, 1.23)	1.02 (0.89, 1.18)
Infrequent persistent back pain	1602	1.06 (0.94, 1.20)	1.08 (0.96, 1.22)	1.01 (0.89, 1.14)
Frequent persistent back pain	2299	1.62 (1.37, 1.91)	1.57 (1.33, 1.85)	1.34 (1.12, 1.61)
Cancer mortality
No back pain	798	Ref	Ref	Ref
Non-persistent back pain	839	1.05 (0.87, 1.27)	1.05 (0.87, 1.27)	1.02 (0.84, 1.24)
Infrequent persistent back pain	865	1.08 (0.92, 1.27)	1.08 (0.92, 1.27)	1.03 (0.87, 1.23)
Frequent persistent back pain	1128	1.44 (1.14, 1.81)	1.44 (1.14, 1.82)	1.33 (1.03, 1.71)
Pulmonary mortality
No back pain	462	Ref	Ref	Ref
Non-persistent back pain	495	1.08 (0.85, 1.39)	1.10 (0.86, 1.40)	1.02 (0.80, 1.31)
Infrequent persistent back pain	457	0.98 (0.79, 1.22)	1.00 (0.80, 1.24)	0.87 (0.69, 1.10)
Frequent persistent back pain	713	1.65 (1.23, 2.23)	1.71 (1.27, 2.30)	1.32 (0.95, 1.83)

Ref, reference; HR, hazard ratio; CI, confidence interval

*Deaths per 100,000 person years

^†Sociodemographic-adjusted model: age, education, marital status, living alone, recruitment site

^‡Fully adjusted model, sociodemographic + health-related characteristics: excellent general health, current smoker, obese, prevalent vertebral fracture, arthritis, hip pain, fall history, hospitalizations, hypertension, previous stroke, diabetes, history of breast cancer, previous breast surgery, and anxiety medication use

Sensitivity analyses using other self-report measures of back pain yielded similar results to our primary analyses (Appendix Table 4). For example, while women who reported much difficulty lifting a 10-pound object due to back pain (vs. no difficulty) had a moderately increased hazard of all-cause mortality (fully adjusted HR = 1.57, 95% CI 1.34–1.82), those who reported any/unspecified back pain did not (fully adjusted HR = 1.00, 95% CI 0.94–1.07).

In our analyses of mediation effects, having 1 or more IADL impairment mediated the association of frequent persistent back pain with all-cause mortality (fully adjusted indirect effect, OR = 1.12, 95% CI 1.08–1.15), as did poor performance on chair stand (fully adjusted OR = 1.05, 95% CI 1.03–1.08) and walking speed (fully adjusted OR = 1.05, 95% CI 1.02–1.07) testing (Table 3). Similarly, while nearly half (47%) of the mortality risk was mediated by IADL limitations, only a fourth of the overall effect was mediated by chair stand and walking speed (27% and 24%, respectively).

Table 3.

Mediation Analysis Between Frequent Persistent Back Pain at Visit 2 (1988–1990) and All-Cause Mortality at Visit 9 (2006–2008)

Mediator*	Total effect† (OR, 95% CI)	Indirect effect† (OR, 95% CI)	Direct effect† (OR, 95% CI)	Proportion mediated, %
IADL limitations (n = 7936)	1.28 (1.06, 1.52)	1.12 (1.08, 1.15)	1.15 (0.94, 1.36)	47%
Performance-based physical function
Slow chair stand speed (n = 6797)	1.19 (0.97, 1.45)	1.05 (1.03, 1.08)	1.14 (0.93, 1.38)	27%
Slow walking speed (n = 6913)	1.22 (1.02, 1.46)	1.05 (1.02, 1.07)	1.17 (0.97, 1.40)	24%

IADL, instrumental activities of daily living; OR, odds ratio

*Information for mediator variables was obtained at visit 3 (1991)

^†Fully-adjusted model: age, education, marital status, living alone, recruitment site, excellent general health, current smoker, obese, prevalent vertebral fracture, arthritis, hip pain, fall history, hospitalizations, hypertension, previous stroke, diabetes, history of breast cancer, previous breast surgery, and anxiety medication use

DISCUSSION

Among community-dwelling older white women followed for a median of 14.1 years, those reporting frequent persistent back pain had a 24% increased risk of all-cause mortality compared to participants without back pain. Frequent persistent back pain was also associated with elevated cardiovascular and cancer mortality. Participants with non-persistent or infrequent persistent back pain did not have a higher all-cause or disease-specific mortality. Limited ability to perform 1 or more IADLs was an important mediator, explaining half of this association, while slow chair stand and gait speed mediated one-fourth. These findings support our hypothesis that more frequent back pain persisting over 2 years is associated with subsequent mortality, and that this association is in part mediated by disability.

Our findings were consistent with prior studies that found that older women with daily¹⁴ or disabling¹⁵ back pain had elevated mortality risk. Our finding that any/unspecified back pain reported at a single visit was not associated with mortality was also consistent with previous studies.^8–12 Our findings corroborated studies showing other potentially disabling musculoskeletal conditions, such as hyperkyphosis^{26, 27} and lower extremity osteoarthritis,^28–30 are associated with elevated mortality risk.

This work extends research on disabling back pain and increased mortality.^{13, 14} To our knowledge, our study is the first to measure disability after measurement of back pain, allowing prospective analysis of disability as a mediator of the association between back pain with mortality. Using causal mediation methods that incorporate interaction between exposure and mediator variables,^{24, 25} self-reported IADL impairment was an important mediator of this association. This finding agrees with studies of the associations of back pain with disability in older adults,^31–33 and disability (IADL impairments, poor mobility) with mortality in late-life.^34–37 However, the mechanism of this association remains unclear. While back pain may directly impair IADLs, older adults may inappropriately avoid IADLs due to fear of re-injury or worsening of symptoms. Frequent back pain that persists over time and impairs IADLs may lead to weight gain, development or progression of comorbid conditions, and ultimately death. However, in each of our mediation analyses, we observed a residual direct effect of back pain on mortality, i.e., an effect not mediated by disability. Other mediators or persistent pain itself may affect mortality.

Our finding of moderately elevated cardiovascular mortality is consistent with two studies, one of older women¹⁴ and another of younger men.⁸ However, two additional studies of middle-aged men⁸ and older adults¹³ have found no increase in cardiovascular death. This is the first study, to our knowledge, to evaluate the association of back pain with cancer- or pulmonary-specific mortality in older women. It is possible that back pain was a symptom of bony metastasis. However, all participants in our sample were evaluated for current or previous cancer at baseline, including lumbar x-rays taken at the baseline visit, making this less likely. Older adults with back pain and IADL limitations may also limit physical activity, which is protective of both cancer and cardiovascular mortality.^{38, 39} Similar higher rates of cancer-specific mortality have been observed in older adults with chronic pain⁴⁰ and osteoarthritis.²⁸ Degenerative changes of the spine, common in older adults, may lead to elevated levels of inflammatory cytokines,^{41, 42, 43} which may contribute to cancer and cardiovascular death.⁴¹

Our study has several limitations. The sample was restricted to older, community-dwelling white women who were generally healthy, and may not be generalizable to younger adults, men, women of other races/ethnicities, or to older women already disabled or living in nursing homes. Additionally, participants were not followed from the onset of back pain, making it difficult to infer the causal pathway from back pain to mortality. Future research should prospectively examine the longitudinal impact of disability over time following the onset of back pain. We used a complete case analytic approach. While exclusion of participants missing baseline values of potential confounders may have biased our results, this seems unlikely as a low proportion of participants (~ 7%) were missing baseline data and baseline characteristics of excluded women were similar to those of our analytic sample. Residual confounding was possible for some variables, such as baseline osteoporosis. However, we adjusted for prevalent vertebral fractures, an important potential consequence of osteoporosis, at baseline using morphometry. Additionally, it seems unlikely that our estimates would change due to other baseline fragility fractures (e.g., hip or wrist), since we adjusted for fall history, a strong predictor of such fractures.

We did not adjust for baseline levels of pain medication use (e.g., NSAIDs, Opioids). Although pain medications may be associated with mortality, use of pain medications preceding back pain seems unlikely. A concern is potential confounding by pain medications used for other reasons; however, we partially addressed this by adjusting for other sources of musculoskeletal pain (i.e., hip pain, arthritis). It seems more likely that pain medication use would function as a mediator of mortality.

Psychosocial factors, particularly depression, are also concerns. While depression is a possible confounder, it is also a likely mediator. We were unable to assess depression in this study because 16% of SOF participants were missing data on the Geriatric Depression Scale (GDS), which was administered at visit 2. However, a sensitivity analysis that included GDS score (high vs. low) and an indicator variable for missing GDS score showed a similar risk of all-cause mortality among women with frequent persistent back pain (HR 1.24, 95% CI 1.10–1.38) compared to no back pain. Instead of adjusting for GDS, we adjusted for self-rated health status which reflects psychological health among older adults.^{44, 45} Future studies should explore depression and other possible mediators (e.g., psychosocial factors, physical activity, medication use, fragility fractures, inflammatory markers) and examine interactions between these factors and likely mediators (e.g., IADL impairments).

Strengths of our study include its large sample size, long follow-up period, and assessment of back pain frequency at two time points. Our results were consistent across multiple measures of back pain. Our analytic approach included cause-specific mortality and contemporary mediation methods not previously used to assess the association of back pain and mortality. Survival and mediation methods controlled extensively for confounding, including variables not measured in previous studies (e.g., prevalent vertebral fractures).

The proportion of adults over the age of 65 is increasing rapidly in the USA and optimizing physical health and extending life for older adults is an important public health goal. Our findings raise the question of whether better management of back pain across the lifespan could prevent disability, improve quality of life, and ultimately extend life. These results lay the foundation for future longitudinal intervention studies to assess the long-term impact of back pain treatments and self-care strategies on these outcomes. For now, clinicians should assess physical function in older adults with back pain and recommend guideline-based management, which encourages use of less-invasive treatments.⁴⁶ Important goals of back pain treatment in older adults include addressing IADL impairments and optimizing physical function.

In conclusion, we found frequent persistent back pain to be associated with all-cause, cardiovascular, and cancer mortality among older community-dwelling white women over a median follow-up period of 14.1 years. Much of the association was mediated by disability.

Author Contributions

Drs. Roseen and Fredman had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: Roseen, LaValley, Saper, Felson, and Fredman.

Acquisition, analysis, or interpretation of data: Roseen, LaValley, Saper, Li, Felson, and Fredman.

Drafting of the manuscript: Roseen and Fredman.

Critical revision of the manuscript for important intellectual content: Roseen, LaValley, Saper, Li, Felson, and Fredman.

Statistical analysis: Roseen, LaValley, Li, and Fredman.

Obtained funding: n/a.

Administrative, technical, or material support: Roseen and Fredman.

Study supervision: Roseen and Fredman.

Funding/Support

The Study of Osteoporotic Fractures (SOF) is supported by National Institutes of Health funding. The National Institute on Aging (NIA) provides support under the following grant numbers: R01 AG005407, R01 AR35582, R01 AR35583, R01 AR35584, R01 AG005394, R01 AG027574, R01 AG027576, and R01 AG026720. Dr. Roseen is supported by a Ruth L. Kirschstein National Research Service Award (1F32AT009272) from the National Center for Complementary and Integrative Health (NCCIH) and by the Boston University Clinical and Translational Science Institute (CTSI) Clinical Research Training Program (1UL1TR001430).

Compliance with Ethical Standards

This study was approved by the Institutional Review Boards at each SOF clinical site and at Boston University Medical Campus.

Conflict of Interest

The authors declare that they do not have a conflict of interest.

Disclaimer

The funding sources had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication. The contents of this manuscript are solely the responsibility of the authors and do not necessarily represent the official views of NIA or NCCIH.