Literature DB >> 28535169

Sex Differences in the Association Between Pain and Injurious Falls in Older Adults: A Population-Based Longitudinal Study.

Anna-Karin Welmer, Debora Rizzuto, Amaia Calderón-Larrañaga, Kristina Johnell.   

Abstract

We investigated whether there are sex differences in the association between pain and incident injurious falls. A total of 2,934 people (ages ≥60 years) from the population-based Swedish National Study on Aging and Care in Kungsholmen (2001-2004) participated. Participants were followed up for 3 and 10 years for falls leading to hospitalization or outpatient care. Data were analyzed with flexible parametric survival models that adjusted for potential confounders. During the first 3 years of follow-up, 67 men and 194 women experienced an injurious fall, and over 10 years of follow up, 203 men and 548 women experienced such a fall. In men, the presence of pain, having pain that was at least mild, having pain that affected several daily activities, and having daily pain all significantly increased the likelihood of incurring an injurious fall during the 3-year follow-up period. The multivariate-adjusted hazard ratios ranged from 1.78 (95% confidence interval: 1.00, 3.15) for the presence of pain to 2.89 (95% confidence interval: 1.41, 5.93) for several daily activities' being affected by pain. Results for the 10-year follow-up period were similar. No significant associations were detected in women. Although pain is less prevalent in men than in women, its impact on risk of injurious falls seems to be greater in men.
© The Author(s) 2017. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.

Entities:  

Keywords:  aged; falls; injury; pain; sex factors

Mesh:

Year:  2017        PMID: 28535169      PMCID: PMC5860481          DOI: 10.1093/aje/kwx170

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


Injurious falls are a major public health concern and are associated with risk of disability, nursing home admissions, and death in older people. They also lead to considerable costs for society (1). Injurious falls have been associated with higher risk of disability and nursing home admissions than other conditions (e.g., diseases) that lead to hospitalization (2). The prevention of injurious falls should therefore be a high priority in society. Successful preventive interventions depend on identifying and managing risk factors for falls. Pain is common in the older population and is a major cause of mobility limitation and disability (3–5). Studies of older adults have shown that pain also increases the likelihood of falls (4, 6–11). However, few studies have investigated whether the increased risk of falls in older people with pain also translates to an increased risk of fall-related injuries. One study found that pain of at least moderate intensity increased the likelihood of falls but not fractures in older men (12). Another study suggested that widespread pain of moderate-to-high intensity was associated with falls and fractures in older women with disabilities (7). Previous studies have shown that the incidence of (13), risk factors for (14, 15), and consequences of (16) falls may differ in men and women. For instance, older women fall more frequently than older men and have a higher risk of experiencing injurious falls, possibly because older women have poorer physical function and a higher prevalence of osteoporosis than older men (13, 16). In addition, studies have shown that the prevalence of pain is higher in women than in men (17, 18) and that women may be more likely than men to experience severe pain (19). However, studies have not yet established whether the association between pain and injurious falls differs in older men and women (8). Therefore, our objective in this study was to examine whether there were sex differences in the associations between pain characteristics (location, intensity, frequency, and interference with daily activities) and incident injurious falls in older adults during short (3 years) and long (10 years) periods of observation.

METHODS

Study population

Participants comprised people aged 60 years or older from a population-based study, the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K) (20). The study used stratified sampling. The population of Kungsholmen, an island in central Stockholm, was first stratified by age, and then a random sample of individuals was selected from each age cohort. A total of 11 age cohorts were chosen, with 6-year intervals between the younger cohorts (ages 60, 66, and 72 years) and 3-year intervals between the older cohorts (ages 78, 81, 84, 87, 90, 93, 96, and ≥99 years). Baseline data were collected from 2001 through 2004. A total of 5,111 people were initially selected to participate. Two hundred died before the start of the study, contact information was unavailable for 262 people, 32 had moved, 23 did not speak Swedish, and 4 were deaf. Of the remaining 4,590 people, 3,363 (73.3%) participated in the baseline examination. In this study, we excluded an additional 349 people who had dementia (diagnosed in accordance with the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, criteria) or who lived in an institution, because self-reported pain is difficult to measure in these groups (21). Of the remaining 3,014 people, pain questionnaire data were missing for 35 and outcome data for 45. The analytical sample (n = 2,934) was significantly younger (mean age = 73.1 (standard deviation (SD), 10.3) years vs. mean age = 86.3 (SD, 10.2) years; P < 0.01) than the group of eligible nonparticipants and included fewer women (62.6% women vs. 80.2% women; P < 0.01). The Swedish National Study on Aging and Care in Kungsholmen was approved by the Regional Ethical Review Board in Stockholm, Sweden. Written informed consent was collected from participants. If the person could not answer (e.g., was cognitively impaired), consent was obtained from a proxy (usually a close family member).

Data collection

Data on demographic, health, and lifestyle factors were collected at our research center via interviews, clinical examinations, and testing by trained staff. Home visits were conducted with persons who agreed to participate but were unable or unwilling to come to the center. An injurious fall was defined as hospitalization for or receipt of outpatient care because of a fall (22). International Classification of Diseases, Tenth Revision, discharge diagnoses assigned from the date of the baseline examination to the last available date (December 31, 2011) were used. These included the external-cause codes W00, W01, W05–W10, and W17–W19: falls on the same level (codes W00, W01, and W18); falls from furniture, wheelchairs, etc. (codes W05–W09); falls from one level to another (e.g., from stairs) (codes W10 and W17); and unspecified falls (code W19). We did not include injurious falls caused by other people or by falling from heights, because these were considered extreme events (e.g., code W12: falling from scaffolding). Information on falls was retrieved from the National Patient Register, which includes data from inpatient care and specialized outpatient care, and from the Local Outpatient Register, which includes data from primary care given in the Stockholm County Council area (23). Outcome status was determined by linking each participant's personal identification number to the registers. Because of the personal identification number, these data are highly reliable (24). Previous injurious falls were defined as falls occurring up to 3 years before the baseline examination. Information about the vital status of the participants up to December 31, 2011, was obtained from the Swedish Cause of Death Registry. We assessed pain characteristics that have been described as important in the assessment of pain by the American Geriatrics Society, including the location, intensity, and frequency of pain and its interference with daily activities (25). Pain characteristics were determined with a questionnaire that asked about pain experienced during the previous 4 weeks (26). The presence of pain was assessed with the question, “In the last 4 weeks, have you experienced pain?”. Response alternatives were “yes” and “no.” The location of pain was determined with a 9-item question that ascertained whether the person had pain in the head, neck, back, joints, shoulders/upper extremities, lower extremities/feet, chest, abdomen, or genitals. We classified pain location by the number of pain sites: no pain, pain at a single location, and pain at 2 or more locations (6, 27). People with pain in their joints were classified as having pain at 2 or more locations. The intensity of pain was assessed with the question, “In the last 4 weeks, how much pain have you had?”. Response options were “none,” “very mild,” “mild,” “moderate,” “severe,” and “very severe” (6). In the analyses, we categorized pain intensity as no pain (“none”) or very mild pain, mild-to-moderate pain, and severe or very severe pain. Interference with daily activities/conditions was determined via the 6-item question, “In the last 4 weeks, how much did pain interfere with: 1) mood, 2) mobility, 3) sleep, 4) normal work (including housework), 5) leisure activities, and 6) the joy of living?”. For each item, response options were “not at all,” “a little bit,” “moderately,” “quite a bit,” and “extremely.” Interference was categorized as moderate or more than mild interference with 0, 1–2, or 3 or more activities/conditions (12). Frequency of pain was assessed by asking, “In the last 4 weeks, how often have you had pain?”. Response options were “once or twice,” “a few times,” “quite often,” “very often,” “daily,” or “almost daily.” For the analyses, we categorized the answers as almost never (once or twice), sometimes (a few times, quite often, very often), or daily/almost daily (11). Demographic factors included data on age, sex, and level of education. Education was measured as the highest level of formal education completed and was categorized as elementary school, high school, or university and above. Medical conditions assessed included diabetes, chronic obstructive pulmonary disease, cardiovascular disease, cerebrovascular disease, and musculoskeletal disease. Information on medical conditions was ascertained on the basis of self-reported medical history, clinical examination (including an electrocardiogram), laboratory tests (e.g., a glycosylated hemoglobin level of 5.4% or higher for diabetes) (28), medication data, and the National Patient Register. Cardiovascular disease included ischemic heart disease, atrial fibrillation, and heart failure. Musculoskeletal disease included arthrosis, arthritis, and osteoporosis. Diseases were categorized in accordance with the International Classification of Diseases, Tenth Revision. Medications that increased the risk of falls were defined in accordance with the Swedish National Board of Health and Welfare's guidelines (29). They included Anatomical Therapeutic Chemical codes C01D, C02, C03, C07, C08, C09, G04CA, N04B, N05A, N05B, N05C, and N06A (29). In the analyses, we categorized the number of fall-risk-increasing drugs as 0, 1, or 2 or more. Analgesic medications included opioids and nonopioid pain medications. Fatigue was assessed via the question, “In the past 3 months, have you been bothered by fatigue?”. Depressive symptoms were assessed with the Montgomery-Åsberg Depression Rating Scale (30). The scale has a maximum score of 60, and a score of 7 or more indicates depressive symptomology (31). Mobility was assessed with tests of balance (one-leg-standing), self-selected walking speed (measured for 6 m, or over 2.4 m if the participant reported walking quite slowly), and the ability to stand up from a sitting position (32, 33). Mobility limitation was defined as at least one of the following: inability to balance on 1 leg for 5 seconds, a walking speed of less than 0.8 m/second, or inability to stand 5 times without using one's arms (34–36). Vision was assessed by asking participants if they experienced vision problems (even if they wore glasses). Cognitive function was examined using the Mini-Mental State Examination (37), and persons with scores of 27 or less were categorized as having cognitive impairment. This cutoff is more clinically useful than the traditional cutoff of 24 for identifying cognitive impairment and dementia in highly educated people (38). Physical exercise was divided into 3 categories on the basis of intensity and frequency of physical exercise during the past 12 months (39): 1) inadequate—less than weekly light and/or intensive activity; 2) health-enhancing—light exercise several times per week; and 3) fitness-enhancing—moderate/intense exercise several times per week. Body mass index (weight (kg)/height (m)2) was divided into the categories underweight (<20), normal weight (20–24.9), overweight (25–29.9), and obesity (≥30) (40). Smoking status was categorized as never, former, or current smoking. Alcohol consumption was categorized as none or occasional, light-to-moderate (1–14 drinks/week for men or 1–7 drinks/week for women), or heavy (≥15 or more drinks/week for men or ≥8 or more drinks/week for women) (41).

Statistical analyses

Baseline characteristics were compared by sex using the χ2 test for categorical variables and Student's t test for continuous variables. Incidence rates of injurious falls and associated 95% confidence intervals were estimated per 1,000 person-years. Flexible parametric survival models were used to estimate hazard ratios and 95% confidence intervals for the association between pain and injurious falls separately for each pain characteristic. Participants were considered at risk for an injurious fall from the date of the baseline examination to the date of the injurious fall, death, or the end of the follow-up period, whichever came first. The likelihood of injurious falls was analyzed for 2 different follow-up periods: 3 years after baseline and 10 years after baseline. A total of 243 participants (100 men and 143 women) died within 3 years of baseline, and 904 (354 men and 550 women) died within 10 years. The first model (model 1) adjusted for demographic factors (age and education). In the second model (model 2), in addition to the covariates included in model 1, the following covariates were entered using a backward selection procedure: diabetes, chronic obstructive pulmonary disease, cardiovascular disease, cerebrovascular disease, musculoskeletal disease, fatigue, use of fall-risk-increasing drugs, use of analgesics, depressive symptomology, mobility limitation, vision problems, cognitive impairment, physical exercise, body mass index, smoking status, alcohol consumption, and previous injurious falls. Covariates with P values of 0.2 or more were excluded from the final model. Statistical interactions were tested by simultaneously including the independent variables and their cross-product variables in the same model. Finally, to confirm the results of the main analyses, we also conducted analyses with a serious injurious fall (fracture, dislocation, or intracranial injury or other severe injury (e.g., nerve injury)) as the outcome. Statistical analyses were performed with Stata, version 14 (StataCorp LP, College Station, Texas).

RESULTS

During the 3-year follow-up period (mean duration of follow-up = 2.8 (SD, 0.6) years), 261 people (67 men and 194 women) experienced an injurious fall, and during the 10-year follow-up period (mean duration of follow-up = 6.9 (SD, 2.9) years), 751 people (203 men and 548 women) experienced an injurious fall. The fall rate per 1,000 person-years was 25.8 (95% confidence interval: 22.5, 29.6) for men and 43.8 (95% confidence interval: 40.3, 47.7) for women. The baseline characteristics of the study participants are shown by sex in Table 1. Men were more likely than women to have a university education, to engage in intensive exercise, to be overweight or obese, to be former or current smokers, to be light-to-moderate consumers of alcohol, and to have diabetes or cardiovascular disease. Women were, on average, older than men and more likely to have musculoskeletal disease, fatigue, depressive symptomology, mobility limitation, vision problems, and cognitive impairment. A higher percentage of women than of men used fall-risk-increasing drugs and analgesics and had experienced a previous injurious fall.
Table 1.

Baseline Characteristics of Participants in the Swedish National Study on Aging and Care in Kungsholmen, by Sex, Sweden, 2001–2004

Baseline CharacteristicMen (n = 1,096)Women (n = 1,838)P Value
No. of Persons%No. of Persons%
Education<0.001
 Elementary school14513.230516.6
 High school45941.999854.5
 University49144.853028.9
Medical conditions
 Diabetes mellitus15013.71266.9<0.001
 Chronic obstructive pulmonary disease555.0854.60.628
 Cardiovascular disease38034.752028.3<0.001
 Cerebrovascular disease726.61116.00.566
 Musculoskeletal disease15314.044124.0<0.001
No. of fall-risk-increasing drugs<0.001
 056951.978642.8
 121219.342423.1
 ≥231528.762734.1
Use of analgesic medication11010.028515.5<0.001
Fatigue645.820711.3<0.001
Depressive symptomology999.323513.20.001
Mobility limitation35132.383445.7<0.001
Vision problems48844.798554.0<0.001
Cognitive impairment14313.130816.80.008
Physical exercise<0.001
 Inactive28926.454529.7<0.001
 Moderate exercise52147.593751.0
 Intensive exercise28626.135619.4
Body mass indexa<0.001
 <20 (underweight)343.21287.4
 20–24.9 (normal weight)37935.176544.0
 25–29.9 (overweight)51948.162435.9
 ≥30 (obesity)14813.722012.7
Smoking status<0.001
 Never smoker37934.796252.8
 Former smoker54449.959532.6
 Current smoker16815.426614.6
Alcohol consumption<0.001
 None or occasional24022.172739.8
 Light to moderate73167.273140.0
 Heavy11710.836920.2
Previous injurious fall666.018510.1<0.001
Age, yearsb71.1 (9.7)74.2 (10.5)<0.001

a Weight (kg)/height (m)2.

b Values are expressed as mean (standard deviation).

Baseline Characteristics of Participants in the Swedish National Study on Aging and Care in Kungsholmen, by Sex, Sweden, 2001–2004 a Weight (kg)/height (m)2. b Values are expressed as mean (standard deviation). Pain was reported by 1,090 participants (37.2%), including 286 (26.1%) of the 1,096 men and 804 (43.7%) of the 1,838 women (Tables 2 and 3). Women were significantly more likely to report pain and to have pain of at least mild intensity than men (P < 0.001; not shown). Furthermore, women were nearly twice as likely as men to have pain at several sites (22.8% vs. 11.2%), to have severe or very severe pain (15.9% vs. 8.2%), to have 3–6 daily activities that were at least moderately affected by pain (14.7% vs. 7.3%), and to have daily or almost daily pain (31.0% vs. 17.2%) (Tables 2 and 3).
Table 2.

Hazard Ratios for Injurious Falls During 3 and 10 Years of Follow-up Among 1,096 Men Who Participated in the Swedish National Study on Aging and Care in Kungsholmen, Sweden, 2001–2004

Pain CharacteristicParticipants With PainFall Rate per 1,000 Person-YearsDuration of Follow-up and Modela
3 Yearsb10 Yearsc
Model 1dModel 2eModel 1dModel 2f
No.%Rate95% CIHR95% CIHR95% CIHR95% CIHR95% CI
Presence of pain28626.132.725.5, 41.81.941.15, 3.281.781.00, 3.151.551.13, 2.141.370.98, 1.91
No. of pain sites
 No pain81474.323.720.1, 27.91.00Referent1.00Referent1.00Referent1.00Referent
 Pain at 1 site15914.528.219.8, 40.11.820.94, 3.521.650.76, 3.571.200.78, 1.871.080.68, 1.70
 Pain at several sites12311.238.326.9, 54.52.000.99, 4.061.770.82, 3.802.101.43, 3.071.791.19, 2.69
Intensity of paing
 None or very mild86779.423.119.7, 27.21.00Referent1.00Referent1.00Referent1.00Referent
 Mild to moderate13612.532.622.8, 46.62.401.21, 4.762.321.08, 4.971.701.13, 2.551.540.98, 2.41
 Severe or very severe898.247.332.2, 69.52.901.45, 5.772.851.33, 6.082.611.69, 4.032.441.53, 3.87
No. of daily activities/conditions at least moderately affected by pain
 090982.923.620.2, 27.61.00Referent1.00Referent1.00Referent1.00Referent
 1–21079.827.217.4, 42.71.560.70, 3.501.590.65, 3.901.310.78, 2.181.210.71, 2.01
 3–6807.353.936.7, 79.23.051.59, 5.852.891.41, 5.932.461.62, 3.742.221.44, 3.41
Frequency of paing
 Never81074.223.620.0, 27.81.00Referent1.00Referent1.00Referent1.00Referent
 Sometimes938.526.116.5, 41.51.210.53, 2.781.040.39, 2.811.090.64, 1.840.950.54, 1.64
 Daily or almost daily18817.237.227.8, 49.92.401.35, 4.272.241.19, 4.211.901.33, 2.711.641.13, 2.39

Abbreviations: CI, confidence interval; HR, hazard ratio.

a Results were derived from separate flexible parametric survival models for pain characteristics.

b During the 3-year follow-up period, 67 men experienced an injurious fall and 100 died.

c During the 10-year follow-up period, 203 men experienced an injurious fall and 354 died.

d Model 1 adjusted for demographic characteristics (age and education).

e In model 2 with 3 years of follow-up, additional adjustments were made for chronic obstructive pulmonary disease, cardiovascular disease, cognitive impairment, physical exercise, body mass index, smoking status, alcohol consumption, and previous injurious falls.

f In model 2 with 10 years of follow-up, additional adjustments were made for chronic obstructive pulmonary disease, cardiovascular disease, vision problems, cognitive impairment, physical exercise, smoking status, alcohol consumption, and previous injurious falls.

g Missing data: intensity of pain, n = 4; frequency of pain, n = 5.

Table 3.

Hazard Ratios for Injurious Falls During 3 and 10 Years of Follow-up Among 1,838 Women Who Participated in the Swedish National Study on Aging and Care in Kungsholmen, Sweden, 2001–2004

Pain CharacteristicParticipants With PainFall Rate per 1,000 Person-YearsDuration of Follow-up and Modela
3 Yearsb10 Yearsc
Model 1dModel 1eModel 1dModel 1f
No.%Rate95% CIHR95% CIHR95% CIHR95% CIHR95% CI
Presence of pain80443.748.943.3, 55.21.120.83, 1.530.940.68, 1.301.100.92, 1.320.930.76, 1.14
No. of pain sites
 No pain1,04156.640.235.8, 45.11.00Referent1.00Referent1.00Referent1.00Referent
 Pain at 1 site37820.648.740.8, 58.31.030.71, 1.510.970.66, 1.431.030.81, 1.290.940.73, 1.19
 Pain at several sites41922.848.941.3, 57.71.220.84, 1.770.910.61, 1.361.170.94, 1.450.910.71, 1.18
Intensity of paing
 None or very mild1,15963.438.634.6, 43.11.00Referent1.00Referent1.00Referent1.00Referent
 Mild to moderate37920.745.738.1, 54.81.110.75, 1.660.980.65, 1.471.120.89, 1.410.990.77, 1.27
 Severe or very severe29115.963.552.8, 76.31.280.88, 1.860.930.62, 1.391.240.98, 1.580.980.74, 1.31
No. of daily activities/conditions at least moderately affected by pain
 01,27769.540.436.4, 44.81.00Referent1.00Referent1.00Referent1.00Referent
 1–229015.847.138.3, 57.81.140.75, 1.721.000.66, 1.521.100.85, 1.420.950.73, 1.25
 3–627114.758.147.6, 70.81.290.86, 1.920.890.58, 1.371.110.86, 1.440.860.64, 1.14
Frequency of paing
 Never1,03456.940.035.7, 44.91.00Referent1.00Referent1.00Referent1.00Referent
 Sometimes21912.140.431.5, 51.81.000.60, 1.680.960.57, 1.621.030.76, 1.380.910.66, 1.24
 Daily or almost daily56431.051.544.6, 59.41.150.83, 1.600.910.64, 1.291.110.91, 1.350.920.73, 1.15

Abbreviations: CI, confidence interval; HR, hazard ratio.

a Results were derived from separate flexible parametric survival models for pain characteristics.

b During the 3-year follow-up period, 194 women experienced an injurious fall and 143 died.

c During the 10-year follow-up period, 548 women experienced an injurious fall and 550 died.

d Model 1 adjusted for demographic characteristics (age and education).

e In model 2 with 3 years of follow-up, additional adjustments were made for chronic obstructive pulmonary disease, cardiovascular disease, fatigue, number of fall-risk-inducing medications, analgesics, depressive symptomology, mobility limitation, physical exercise, body mass index, and previous injurious falls.

f In model 2 with 10 years of follow-up, additional adjustments were made for cardiovascular disease, musculoskeletal disease, number of fall-risk-inducing medications, analgesics, cognitive impairment, physical exercise, and previous injurious falls.

g Missing data: intensity of pain, n = 9; frequency of pain, n = 21.

Hazard Ratios for Injurious Falls During 3 and 10 Years of Follow-up Among 1,096 Men Who Participated in the Swedish National Study on Aging and Care in Kungsholmen, Sweden, 2001–2004 Abbreviations: CI, confidence interval; HR, hazard ratio. a Results were derived from separate flexible parametric survival models for pain characteristics. b During the 3-year follow-up period, 67 men experienced an injurious fall and 100 died. c During the 10-year follow-up period, 203 men experienced an injurious fall and 354 died. d Model 1 adjusted for demographic characteristics (age and education). e In model 2 with 3 years of follow-up, additional adjustments were made for chronic obstructive pulmonary disease, cardiovascular disease, cognitive impairment, physical exercise, body mass index, smoking status, alcohol consumption, and previous injurious falls. f In model 2 with 10 years of follow-up, additional adjustments were made for chronic obstructive pulmonary disease, cardiovascular disease, vision problems, cognitive impairment, physical exercise, smoking status, alcohol consumption, and previous injurious falls. g Missing data: intensity of pain, n = 4; frequency of pain, n = 5. Hazard Ratios for Injurious Falls During 3 and 10 Years of Follow-up Among 1,838 Women Who Participated in the Swedish National Study on Aging and Care in Kungsholmen, Sweden, 2001–2004 Abbreviations: CI, confidence interval; HR, hazard ratio. a Results were derived from separate flexible parametric survival models for pain characteristics. b During the 3-year follow-up period, 194 women experienced an injurious fall and 143 died. c During the 10-year follow-up period, 548 women experienced an injurious fall and 550 died. d Model 1 adjusted for demographic characteristics (age and education). e In model 2 with 3 years of follow-up, additional adjustments were made for chronic obstructive pulmonary disease, cardiovascular disease, fatigue, number of fall-risk-inducing medications, analgesics, depressive symptomology, mobility limitation, physical exercise, body mass index, and previous injurious falls. f In model 2 with 10 years of follow-up, additional adjustments were made for cardiovascular disease, musculoskeletal disease, number of fall-risk-inducing medications, analgesics, cognitive impairment, physical exercise, and previous injurious falls. g Missing data: intensity of pain, n = 9; frequency of pain, n = 21. We detected significant interactions between sex and all pain characteristics in association with injurious falls (P < 0.05). Therefore, all results are presented by sex. After adjusting for demographic factors, we found that in men, the presence of pain, pain at several sites, mild-to-moderate and severe or very severe pain, 3–6 daily activities/conditions being at least moderately affected by pain, and daily or almost daily pain significantly increased the risk of injurious falls during the short (3-year) and long (10-year) observation periods (Table 2). In the fully adjusted model, these associations were attenuated, but almost all remained statistically significant. The exceptions were the number of pain sites during the 3-year follow-up and the presence of pain during the 10-year follow-up (Table 2). No significant associations between pain and injurious falls were detected in women (Table 3). We also examined interactions between age groups (<78 years vs. ≥78 years) and all pain characteristics; no differences were detected between the 2 age groups. Of those persons who experienced an injurious fall during the 10-year follow-up period, 132 (65.0%) men and 357 (65.2%) women had a serious injurious fall (P = 0.975) (see Web Table 1, available at https://academic.oup.com/aje). The results of the analyses in which the outcome was serious fall injuries were similar to those reported in Tables 2 and 3, although in the fully adjusted model only the intensity of pain remained significantly associated with serious injurious falls in men (Web Table 2).

DISCUSSION

To the best of our knowledge, this was the first study to examine sex differences in the association between pain and injurious falls in a population-based sample of older adults. We found that men with at least mild pain, men who had several daily activities that were affected by pain, and men who experienced daily pain had a significantly increased likelihood of injurious falls in both the 3-year and 10-year follow-up periods. No significant association was observed between pain and injurious falls in women. Previous studies have found that pain and its location, severity, and interference with daily activities are all associated with fall risk in older adults (6, 7, 12, 27). Most studies on pain and falls have examined men and women as a single group (6, 8, 27), and few have investigated the relationship between pain and injurious falls (7, 12). Our results contradict those of a recent study that did not find an association between pain and fractures in a sample of older men living in the community (12). The results of the current study also contrast with those of 2 other studies, which found that back pain is associated with falls in older women who live in the community (11) and that widespread pain is associated with falls and self-reported fractures in older women with disabilities (7). However, the study sample and the outcome of the present study differ from those of the above-mentioned studies (6–8, 11, 12, 27). Furthermore, the previous studies examined either self-reported falls or fractures. We focused on administratively collected data on injurious falls, which are often more severe than self-reported falls and may have a partly different etiology than fractures, which are strongly associated with osteoporosis. We found that pain was more prevalent in women than in men, a finding consistent with the findings of previous studies (17–19). This result might be explained in part by sex differences in sensitivity to pain; for example, women generally exhibit a lower pain threshold and less pain tolerance than men (42, 43). There are several possible explanations for our finding of sex differences in the association between pain and injurious falls. First, women may be more likely to exhibit fear of pain than men (43, 44). This could lead to avoidance of vigorous activities, which could either benefit the women by helping them avoiding further harm or harm them by leading to inactivity and risk of disability (43, 44). Thus, it is possible that the sex differences found in the present study can be partly explained by more careful behavior in women with pain than in men with pain. Second, men may be less likely to accept adaptive devices (e.g., canes, walkers) that may mitigate the risk that pain poses during walking. Third, despite higher pain thresholds, men exhibit higher levels of cardiovascular stress (e.g., increased blood pressure) than women in response to pain (42). A 2015 study found that cardiovascular stress increased fall risk in men but not in women (45). However, the mechanism underlying this association is not clear. The strengths of our study include the community-based sample of older people, the extensive assessment of pain, and the long follow-up time. Furthermore, the results were confirmed via sensitivity analyses that included only serious injurious falls and were adjusted for a number of important confounders. Importantly, we found that men and women did not differ in terms of the proportion of falls that resulted in a serious injury. We used an objective measure of injurious falls, employing official registers with high coverage (23) that included both fall-related hospitalizations and outpatient care. These registers are generally seen as reliable data sources. For example, one study found that 98.3% of the hospitalizations due to falls were correctly coded (23). Our outcome may reflect underestimation of actual fall rates, however, since less severe falls were most likely not included. Other limitations of the study include the pain questionnaire, which did not allow us to distinguish between musculoskeletal pain and other types of pain. The period of pain assessment (the previous 4 weeks) was shorter than in other studies (4, 6–11), but this may have resulted in more accurate recall and more reliable answers. Finally, the study included a community-dwelling sample of relatively healthy and well-educated people, and more women than men were excluded from the analytical sample. This may have led to underestimation of the association between pain and injurious falls in women. However, the fall rates in this study (25.8 for men and 43.8 for women per 1,000 person-years) were comparable to those of a study that examined the incidence of fall-related hospitalization in a national sample of Swedish adults aged ≥65 years (1,645.6 for men and 2,913.8 for women per 100,000 person-years) (46). In conclusion, our results suggest that there are significant sex differences in the association between pain and injurious falls in old age. Although pain is less prevalent in men than in women, its impact on risk of injurious falls seems to be greater in men. Click here for additional data file.
  46 in total

Review 1.  The management of persistent pain in older persons.

Authors: 
Journal:  J Am Geriatr Soc       Date:  2002-06       Impact factor: 5.562

2.  Depressive symptoms, chronic pain, and falls in older community-dwelling adults: the MOBILIZE Boston Study.

Authors:  Laura H P Eggermont; Brenda W J H Penninx; Rich N Jones; Suzanne G Leveille
Journal:  J Am Geriatr Soc       Date:  2012-01-27       Impact factor: 5.562

Review 3.  Prevention of falls and consequent injuries in elderly people.

Authors:  Pekka Kannus; Harri Sievänen; Mika Palvanen; Teppo Järvinen; Jari Parkkari
Journal:  Lancet       Date:  2005-11-26       Impact factor: 79.321

4.  A prospective assessment of cardiac biomarkers for hemodynamic stress and necrosis and the risk of falls among older people: the ActiFE study.

Authors:  Dhayana Dallmeier; Jochen Klenk; Raphael S Peter; Michael Denkinger; Richard Peter; Kilian Rapp; Wolfgang Koenig; Dietrich Rothenbacher
Journal:  Eur J Epidemiol       Date:  2015-07-01       Impact factor: 8.082

5.  Extent and consequences of misclassified injury diagnoses in a national hospital discharge registry.

Authors:  Monica Frick Bergström; Liisa Byberg; Håkan Melhus; Karl Michaelsson; Rolf Gedeborg
Journal:  Inj Prev       Date:  2010-11-26       Impact factor: 2.399

6.  The relationship of gender to pain, pain behavior, and disability in osteoarthritis patients: the role of catastrophizing.

Authors:  Francis J Keefe; John C Lefebvre; Jennifer R Egert; Glenn Affleck; Michael J Sullivan; David S Caldwell
Journal:  Pain       Date:  2000-09       Impact factor: 6.961

7.  Pain among older adults from a gender perspective: findings from the Swedish National Study on Aging and Care (SNAC-Blekinge).

Authors:  Lena Sandin Wranker; Mikael Rennemark; Johan Berglund
Journal:  Scand J Public Health       Date:  2015-12-08       Impact factor: 3.021

Review 8.  Pain is associated with recurrent falls in community-dwelling older adults: evidence from a systematic review and meta-analysis.

Authors:  Brendon Stubbs; Pat Schofield; Tarik Binnekade; Sandhi Patchay; Amir Sepehry; Laura Eggermont
Journal:  Pain Med       Date:  2014-05-16       Impact factor: 3.750

9.  Type, number or both? A population-based matched case-control study on the risk of fall injuries among older people and number of medications beyond fall-inducing drugs.

Authors:  Lucie Laflamme; Joel Monárrez-Espino; Kristina Johnell; Berty Elling; Jette Möller
Journal:  PLoS One       Date:  2015-03-27       Impact factor: 3.240

10.  Fear of severe pain mediates sex differences in pain sensitivity responses to thermal stimuli.

Authors:  Maggie E Horn; Meryl J Alappattu; Charles W Gay; Mark Bishop
Journal:  Pain Res Treat       Date:  2014-01-05
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  8 in total

1.  Knee Osteoarthritis and the Risk of Medically Treated Injurious Falls Among Older Adults: A Community-Based US Cohort Study.

Authors:  Kamil E Barbour; Naoko Sagawa; Robert M Boudreau; Mary E Winger; Jane A Cauley; Michael C Nevitt; Tomoko Fujii; Kushang V Patel; Elsa S Strotmeyer
Journal:  Arthritis Care Res (Hoboken)       Date:  2019-06-13       Impact factor: 4.794

2.  Chronic Pain and Risk of Injurious Falls in Community-Dwelling Older Adults.

Authors:  Yurun Cai; Suzanne G Leveille; Ling Shi; Ping Chen; Tongjian You
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2021-08-13       Impact factor: 6.053

3.  Multisite pain and self-reported falls in older people: systematic review and meta-analysis.

Authors:  Victoria K Welsh; Lorna E Clarson; Christian D Mallen; John McBeth
Journal:  Arthritis Res Ther       Date:  2019-02-22       Impact factor: 5.156

4.  Cross-Sectional and Longitudinal Associations between Peak Expiratory Flow and Frailty in Older Adults.

Authors:  Caterina Trevisan; Debora Rizzuto; Stefania Maggi; Giuseppe Sergi; Anna-Karin Welmer; Davide Liborio Vetrano
Journal:  J Clin Med       Date:  2019-11-07       Impact factor: 4.241

5.  Integrating Key User Characteristics in User-Centered Design of Digital Support Systems for Seniors' Physical Activity Interventions to Prevent Falls: Protocol for a Usability Study.

Authors:  Åsa Revenäs; Ann-Christin Johansson; Maria Ehn
Journal:  JMIR Res Protoc       Date:  2020-12-21

6.  Severe low back or lower limb pain is associated with recurrent falls among older Australians.

Authors:  Amy Wing Wai Tse; Stephanie Ward; John J McNeil; Anna Barker; Flavia Cicuttini; Bernadette Mary Fitzgibbon; Sultana Monira Hussain; Alice Owen; Yuanyuan Wang; Rory Wolfe; Julia Fiona-Maree Gilmartin-Thomas
Journal:  Eur J Pain       Date:  2022-09-01       Impact factor: 3.651

7.  Risk factors for incident falls in older men and women: the English longitudinal study of ageing.

Authors:  Catharine R Gale; Leo D Westbury; Cyrus Cooper; Elaine M Dennison
Journal:  BMC Geriatr       Date:  2018-05-16       Impact factor: 3.921

8.  Investigating multisite pain as a predictor of self-reported falls and falls requiring health care use in an older population: A prospective cohort study.

Authors:  Victoria K Welsh; Christian D Mallen; Reuben Ogollah; Ross Wilkie; John McBeth
Journal:  PLoS One       Date:  2019-12-11       Impact factor: 3.240

  8 in total

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