Loading [MathJax]/jax/output/SVG/jax.js
Research article

Gender differences in the associations of recreational walking with indoor and outdoor falls among older adults-the Healthy Aging and Neighborhood Study (HANS)

  • Received: 22 August 2024 Revised: 21 November 2024 Accepted: 06 January 2025 Published: 08 February 2025
  • Objective 

    This study examined gender differences in the association between recreational walking and indoor and outdoor fall rates among older adults.

    Methods 

    The Healthy Aging and Neighborhood Study is a prospective cohort that included 716 community-dwelling adults aged 65–95 years in central and northeastern Massachusetts, USA (2018–2023). Recreational walking at baseline was measured by the frequency of walking for exercise for at least 10 min in the participants' neighborhood. Falls were reported on monthly falls calendars, and the circumstances for reported falls were collected via subsequent telephone interviews. Mixed effects negative binomial models were used to estimate gender differences in the associations of recreational walking with rates of indoor and outdoor falls, separately. Models were adjusted for sociodemographic variables, physical health, functional status, lifestyle behaviors, mental health, and fear of falling.

    Results 

    There were 394 (55%) female and 322 (45%) male participants enrolled in the study, and the mean (SD) age was 74.08 (6.29). About 61% of participants engaged in recreational walking at least once weekly. Women had lower outdoor fall rates than men (32 vs. 40 per 100 person-years), while indoor fall rates did not significantly differ by gender (31 vs. 34 per 100 person-years). Women engaging in recreational walking at least once weekly had a 62% lower indoor fall rate [IRR (95% CI): 0.38 (0.21, 0.71)] than those who did not. No significant associations were observed between recreational walking and outdoor falls for both women and men.

    Discussion 

    Among community-dwelling older women, but not men, a higher frequency of recreational walking was associated with lower rates of indoor falls, while no changes were seen with outdoor falls. Increasing recreational walking may be a viable focus for fall prevention programs in the community, especially for older women.

    Citation: Lingming Chen, Elizabeth Procter-Gray, Qun Le, Danielle LoPilato, Marianella Ferretto, Kevin Kane, Marian T. Hannan, Sarah Berry, Wenjun Li. Gender differences in the associations of recreational walking with indoor and outdoor falls among older adults-the Healthy Aging and Neighborhood Study (HANS)[J]. AIMS Public Health, 2025, 12(1): 185-201. doi: 10.3934/publichealth.2025012

    Related Papers:

    [1] Elizabeth Procter-Gray, Barbara Olendzki, Kevin Kane, Linda Churchill, Rashelle B. Hayes, Annabella Aguirre, Hyung-joo Kang, Wenjun Li . Comparison of Dietary Quality Assessment Using Food Frequency Questionnaire and 24-hour-recalls in Older Men and Women. AIMS Public Health, 2017, 4(4): 326-346. doi: 10.3934/publichealth.2017.4.326
    [2] Wenjun Li, Elizabeth Procter-Gray, Gretchen A. Youssef, Scott E. Crouter, Jie Cheng, Kristen Brown, Linda Churchill, Anthony Clarke, Judith K. Ockene, Michelle F. Magee . Racial Differences in Neighborhood Perceptions and their Influences on Physical Activity among Urban Older Women. AIMS Public Health, 2017, 4(2): 149-170. doi: 10.3934/publichealth.2017.2.149
    [3] Jane Law . Exploring the Specifications of Spatial Adjacencies and Weights in Bayesian Spatial Modeling with Intrinsic Conditional Autoregressive Priors in a Small-area Study of Fall Injuries. AIMS Public Health, 2016, 3(1): 65-82. doi: 10.3934/publichealth.2016.1.65
    [4] Robby Carlo A. Tan, Kyler Kenn M. Castilla, Angely P. Garcia, Kristine D. Macatangay, Shelley Ann F. de la Vega, Michael E. Serafico, Marco Mensink, Lisette de Groot . An overview of the healthy aging program for PinoY (HAPPY) senior citizens research: A cross-sectional study among community-dwelling older Filipinos. AIMS Public Health, 2025, 12(2): 536-556. doi: 10.3934/publichealth.2025029
    [5] Gerhard Ruedl, Markus Posch, Elena Pocecco, Katja Tecklenburg, Birgit Schliernzauer, Michael D. Kennedy, Martin Faulhaber, Martin Burtscher . Association of personal and equipment-related factors on ACL injury risk in alpine skiers with cautious or risk-taking behaviour: A case-control study. AIMS Public Health, 2023, 10(2): 348-359. doi: 10.3934/publichealth.2023026
    [6] Sameer Badri Al-Mhanna, Alexios Batrakoulis, Abdulrahman M. Sheikh, Abdulaziz A. Aldayel, Abdulwali Sabo, Mahaneem Mohamed, Hafeez Abiola Afolabi, Abdirizak Yusuf Ahmed, Sahra Isse Mohamed, Mehmet Gülü, Wan Syaheedah Wan Ghazali . Impact of COVID-19 lockdown on physical activity behavior among students in Somalia. AIMS Public Health, 2024, 11(2): 459-476. doi: 10.3934/publichealth.2024023
    [7] Kate E. Thomason, Gisli Gudjonsson, Elaine German, Robin Morris, Susan Young . Sociomoral Reasoning in Adults with ADHD: A Pilot Study. AIMS Public Health, 2014, 1(3): 147-159. doi: 10.3934/publichealth.2014.3.147
    [8] Lucy K. Lewis, Toby Hunt, Marie T. Williams, Coralie English, Tim S. Olds . Sedentary Behavior in People with and without a Chronic Health Condition: How Much, What and When?. AIMS Public Health, 2016, 3(3): 503-519. doi: 10.3934/publichealth.2016.3.503
    [9] Sandra Racionero-Plaza, Itxaso Tellado, Antonio Aguilera, Mar Prados . Gender violence among youth: an effective program of preventive socialization to address a public health problem. AIMS Public Health, 2021, 8(1): 66-80. doi: 10.3934/publichealth.2021005
    [10] Klaus Greier, Clemens Drenowatz, Theresa Bischofer, Gloria Petrasch, Carla Greier, Armando Cocca, Gerhard Ruedl . Physical activity and sitting time prior to and during COVID-19 lockdown in Austrian high-school students. AIMS Public Health, 2021, 8(3): 531-540. doi: 10.3934/publichealth.2021043
  • Objective 

    This study examined gender differences in the association between recreational walking and indoor and outdoor fall rates among older adults.

    Methods 

    The Healthy Aging and Neighborhood Study is a prospective cohort that included 716 community-dwelling adults aged 65–95 years in central and northeastern Massachusetts, USA (2018–2023). Recreational walking at baseline was measured by the frequency of walking for exercise for at least 10 min in the participants' neighborhood. Falls were reported on monthly falls calendars, and the circumstances for reported falls were collected via subsequent telephone interviews. Mixed effects negative binomial models were used to estimate gender differences in the associations of recreational walking with rates of indoor and outdoor falls, separately. Models were adjusted for sociodemographic variables, physical health, functional status, lifestyle behaviors, mental health, and fear of falling.

    Results 

    There were 394 (55%) female and 322 (45%) male participants enrolled in the study, and the mean (SD) age was 74.08 (6.29). About 61% of participants engaged in recreational walking at least once weekly. Women had lower outdoor fall rates than men (32 vs. 40 per 100 person-years), while indoor fall rates did not significantly differ by gender (31 vs. 34 per 100 person-years). Women engaging in recreational walking at least once weekly had a 62% lower indoor fall rate [IRR (95% CI): 0.38 (0.21, 0.71)] than those who did not. No significant associations were observed between recreational walking and outdoor falls for both women and men.

    Discussion 

    Among community-dwelling older women, but not men, a higher frequency of recreational walking was associated with lower rates of indoor falls, while no changes were seen with outdoor falls. Increasing recreational walking may be a viable focus for fall prevention programs in the community, especially for older women.


    Abbreviations

    BMI:

    body mass index; 

    ADL:

    activities of daily living; 

    IADL:

    instrumental activities of daily living; 

    PASE:

    Physical Activity Scale for the Elderly; 

    PSS-4:

    Perceived Stress Scale; 

    CES-D:

    Center for Epidemiologic Studies Depression Scale; 

    BAI:

    Beck Anxiety Inventory; 

    FES-I:

    Falls Efficacy Scale International; 

    AIC:

    Akaike information criterion; 

    BIC:

    Bayesian information.

    Falls are a major health concern for older adults aged 65 years or older. In the United States, about one-third of older adults fall each year, with one-fifth reporting severe fall-related injuries such as fractures or head traumas [1],[2]. The medical cost of treating fall-related injuries is projected to increase from $35 in 2012 to $101 billion in 2030 [3]. Falls also affect older adults' functional capacities, reduce both mobility and quality of life, and even increase mortality rates [1],[4],[5]. In 2021, there were 38,742 deaths as a result of unintentional falls in older adults, and it is estimated that seven older adults may die from falls every hour by 2030 [6],[7]. Furthermore, the profiles for indoor and outdoor falls are quite different. Indoor falls occur more often among frail older adults, whereas outdoor falls are more frequent among active older adults [8],[9]. Only one study found that women reported lower outdoor fall rates but higher injurious indoor fall rates than men [10]. Walking is the most common type of physical activity and a recommended activity for community-dwelling older adults as it is convenient, cost-effective, and adaptable. Walking can serve two main purposes: utilitarian and recreation. Utilitarian walking refers to walking for essential errands or daily life tasks such as going to the grocery store, post office, or bank. Recreational walking refers to walking for exercise or leisure [11]. Adults do less utilitarian walking but more recreational walking as they age [12]. Gender differences in recreational walking are complex; some studies found that more older men did recreational walking than women, but others did not find any differences [13],[14].

    However, the association between recreational walking and indoor and outdoor fall rates has not been well-studied, and the possible gender differences in these relationships remain unknown. Using data from the Healthy Aging and Neighborhood Study (HANS) prospective cohort study, we estimated gender differences in the association between recreational walking and indoor and outdoor falls among community-dwelling older adults living in Massachusetts, USA. The three hypotheses are as follows: a) Hypothesis a: higher frequency of recreational walking is associated with lower rates of indoor and outdoor fall; b) Hypothesis b: The association between recreational walking and indoor fall rate is stronger in women than men; c) Hypothesis c: The association between recreational walking and outdoor fall rate is stronger in men than women.

    HANS is a longitudinal cohort study conducted in central and northeastern Massachusetts, USA, that started in 2018. The details about study recruitment and procedures have been published elsewhere [15]. Briefly, individuals were eligible if they were 65 years of age or older, planned to live in the area for at least three years, and were able to walk with or without assistive devices. Individuals were excluded if they were unable to do interviews or questionnaires due to visual or auditory impairments, not living independently, had severe memory issues measured using the Short Portable Mental Status Questionnaire (SPMSQ), were unable to do all study-related activities independently, or did not report their fall status during the study (<5%). Direct mailing was the primary method of recruiting participants. Recruitment presentations were given in group settings such as senior centers, older adults' day care centers, and veterans' organizations. Individuals expressing interest in the study were contacted by research staff who provided details about the study and conducted eligibility screening. A total of 716 community-dwelling adults were enrolled in the study during the period 2018–2023. The study protocol was approved by the University of Massachusetts Lowell Institutional Review Board (#: 20-142-LI-XPD; 21-017-LI-XPD). All study participants provided written informed consent.

    A fall was defined as unintentionally coming to rest on the ground or a lower surface. Information related to falls and associated conditions was obtained from a monthly falling calendar followed by a standardized questionnaire, both administered by trained professional research staff. Participants used the monthly falling calendar to record daily if they had fallen and mailed back the monthly falling calendar to the study office at the end of each month. Research staff then called participants who had reported falls and asked for details about their fall(s) including circumstances, location, footwear worn, potential influence of lighting or medication, and whether they were injured and went to the hospital. An indoor fall was defined as occurring inside any building other than a parking garage, and an outdoor fall was defined as occurring outside any building or in a parking garage. The number of indoor and outdoor falls was collected from June 12, 2018, to December 31, 2023.

    Recreational walking was defined as walking for exercise for at least 10 min in the participants' neighborhood, not including walking to stores or businesses. Participants were asked about their frequency of recreational walking habits in the past month, with the following distribution: 20.67% did not walk at all, 7.54% walked less than once a month, 10.89% walked 1–3 times a month, 11.59% walked 1–2 times per week, 18.16% walked 3–4 times per week, 12.29% walked 5–6 times per week, and 18.85% walked at least once a day. The information about recreational walking was collected at participants' baseline visits. For analysis, the responses were summarized into two groups, in which 0 corresponded to less than once per week, and 1 corresponded to at least once per week.

    Sociodemographic variables included participant's age, self-reported gender (women, men, other), self-reported race and ethnicity, geographic region (urban, suburban, rural), household income (<$50K, $50K or more, unknown), and educational attainment (high school or lower, college, beyond college). Physical health variables included self-rated health (good-excellent, poor-fair), body mass index (BMI) (<25 kg/m2, 25–29.9 kg/m2, ≥30 kg/m2), the number of medical comorbidities, and bodily pain (none-mild, moderate-severe). Functional status was assessed by the five-timed chair stand test (<15.96 s, ≥15.96 s), hand grip [male: low (<30 kg), medium (30–36 kg), high (>36 kg); female: low (<20 kg), medium (20–23 kg), high (>23 kg)], activities of daily living (ADL) [16] (no difficulty, at least some difficulty), and instrumental activities of daily living (IADL) [17] (no difficulty, at least some difficulty). Mental health variables included the Center for Epidemiologic Studies Depression Scale (CES-D) [18], the Beck Anxiety Inventory (BAI) [19], the Perceived Stress Scale (PSS-4) [20], and the modified Brief Resilience Scale [21]. Lifestyle behaviors were evaluated using the Physical Activity Scale for the Elderly (PASE) [22], measures of social support and social activity (≤17, >17 times per month) [23], and by determining whether participants drank alcoholic beverages (no, yes), smoked (no, yes), or lived alone (no, yes). The level of concern about falling was measured by the Falls Efficacy Scale International (FES-I) [24].

    Participant characteristics were summarized overall and stratified by gender. Continuous variables were described using means and standard deviations (Mean ± SD); their differences by gender were compared using t-tests or Wilcoxon rank-sum tests. Categorical variables were described using frequency and percentages [n (%)], and gender differences were compared using Chi-squared or Fisher exact tests.

    Mixed effects negative binomial models were performed to estimate gender differences in associations between recreational walking and rates of outdoor and indoor falls, separately for men and women. Unadjusted negative binomial models were used to estimate the crude relationships between recreational walking and indoor/outdoor falls (Model 1). Model 2 included all covariables to estimate the adjusted associations between recreational walking and indoor/outdoor falls. An interaction term between female sex and recreational walking was added into Model 2 to estimate gender differences in the associations (Model 3). For a parsimonious model, we included age and race/ethnicity as a priori variables, and other covariables with statistically significant associations with indoor/outdoor fall rates were retained. Using a stepwise elimination approach, statistically insignificant covariables were eliminated sequentially. Collinearity was assessed using variance inflation factor (VIF) and generalized VIF, with a threshold of VIF/GVIF > 10 indicating a collinearity issue. The GVIF was performed using the car package in R version 4.1.1.

    The percentages of missing values for covariates ranged from 0% to 1.7% (1.7% for comorbidity variables and less than 1% for other covariates). Participants with complete data were included in models at each level of adjustment. Model fit was evaluated by the Akaike information criterion (AIC) and the Bayesian information criterion (BIC). Data were analyzed using Stata 18 (Stata Corp., College Station, TX, USA). Two-sided p-values < 0.05 were considered statistically significant.

    Among the 716 participants, 394 (55.0%) were female and 322 (45.0%) were male; no participants selected the “other” category. Additionally, 464 (64.9%) self-reported as non-Hispanic White, 378 (52.9%) lived in urban areas, 244 (34.1%) in suburban areas, and 93 (13.0%) in rural areas, and the mean (SD) age of participants at baseline visits was 74.08 (6.29) years old. Compared to men, a higher proportion of women reported lower household income, lower educational attainment, fair or poor health, poorer physical function, and lived alone. Moreover, women had more anxiety symptoms, more medical comorbidities, and greater concern of falling, as well as lower levels of physical activity and resilience (Table 1). About 61% of participants reported they engaged in recreational walking at least once a week. The prevalence of it was 60.4% among women and 61.5% among men, and there were not any significant gender differences in the frequency of recreational walking (p = 0.77).

    The mean (SD) follow-up for women was 2.20 (0.08) years, 2.01 (0.08) years for men, and there were no gender differences in follow-up time (p = 0.10). A total of 353 participants (49.30%) reported experiencing at least one fall during the study period. Compared to men, women had a significantly lower rate of outdoor falls (32 vs. 40 per 100 person-years, p = 0.01). Gender differences in the rate of indoor falls were not statistically significant (women vs. men: 31 vs. 34 per 100 person-years, p = 0.34) (Table 1).

    Table 2 shows the associations between recreational walking and indoor fall rates. More frequent recreational walking was significantly associated with a lower indoor fall rate (Model 1); the association remained significant after adjusting for covariables (Model 2). Both Models 3 and 4 found that the interaction between female sex and recreational walking was significant, indicating gender differences in the associations between recreational walking and indoor fall rates. In the parsimonious model (Model 4), higher rates of indoor falls were associated with non-Hispanic White race and ethnicity [IRR (95% CI): 2.36 (1.72, 3.25)], a higher level of anxiety [1.05 (1.03, 1.07)], and a greater concern about falling [1.03 (1.01, 1.05)]. Obesity was associated with a lower rate of indoor falls 0.70 (0.50, 1.00); being overweight did not show a significant association.

    In Model 4, for men, recreational walking was not significantly associated with indoor fall rate [IRR (95% CI): 0.90 (0.61, 1.32)]. However, women engaging in recreational walking had a 62% lower indoor fall rate [IRR (95% CI): 0.38 (0.21, 0.71)] than those who did not engage. Model 4 had the lowest BIC, indicating the best model performance.

    Recreational walking was not significantly associated with outdoor fall rates in both unadjusted and adjusted models [unadjusted IRR: 1.14 (0.86, 1.51); adjusted IRR: 1.09 (0.81, 1.46)]. No significant interaction between females and recreational walking was found. However, participants who self-reported as non-Hispanic White or had difficulties in ADL were more likely to experience outdoor falls (Table 3).

    Table 1.  Characteristics of participants (overall and by gender).
    Project Total (N = 716) Women (N = 394) Men (N = 322) p-value for gender diff.
    Sociodemographic variables
    Age at baseline visit, y, mean (SD) 74.08 (6.29) 73.91 (6.23) 74.28 (6.37) 0.48
    Race and ethnicity, n (%) <0.001
    Non-Hispanic White 464 (64.9) 235 (59.6) 229 (71.3)
    Others1 251 (35.1) 159 (40.4) 92 (28.7)
    Education, n (%) <0.001
    High school or lower 200 (27.9) 127 (32.2) 73 (22.7)
    College 321 (44.8) 181 (45.9) 140 (43.5)
    Beyond college 195 (27.2) 86 (21.8) 109 (33.9)
    Household income, n (%) <0.001
    <$50K 278 (38.8) 180 (45.7) 98 (30.4)
    $50K or more 340 (47.5) 150 (38.1) 190 (59.0)
    Unknown 98 (13.7) 64 (16.2) 34 (10.6)
    Areas, n (%) 0.12
    Rural 93 (13.0) 43 (10.9) 50 (15.6)
    Suburban 244 (34.1) 132 (33.5) 112 (34.9)
    Urban 378 (52.9) 219 (55.6) 159 (49.5)
    Physical health
    BMI, n (%) 0.01
    <25 kg/m2 212 (29.8) 135 (34.6) 77 (24.0)
    25–29.9 kg/m2 294 (41.4) 144 (36.9) 150 (46.7)
    ≥30 kg/m2 205 (28.8) 111 (28.5) 94 (29.3)
    # of medical comorbidities, mean (SD) 1.83 (1.32) 2.05 (1.39) 1.56 (1.16) <0.001
    Bodily pain past four weeks, n (%) 0.05
    None-mild 535 (74.8) 283 (72.0) 252 (78.3)
    Moderate-severe 180 (25.2) 110 (28.0) 70 (21.7)
    Self-rated health, n (%) <0.001
    Good-excellent 566 (79.1) 292 (74.1) 274 (85.1)
    Poor-fair 150 (20.9) 102 (25.9) 48 (14.9)
    Functional status
    Five-timed chair stand test2, n (%)
    High function 454 (63.4) 251 (63.7) 203 (63.0) 0.86
    Low function 262 (36.6) 143 (36.3) 119 (37.0)
    ADL, n (%)
    No difficulty 580 (81.2) 311 (79.1) 269 (83.8) 0.11
    At least some difficulty 134 (18.8) 82 (20.9) 52 (16.2)
    IADL, n (%)
    No difficulty 417 (58.2) 200 (50.8) 217 (67.4) <0.001
    At least some difficulty 299 (41.8) 194 (49.2) 105 (32.6)
    Hand grip (kg)3, n (%) 0.73
    Low 225 (31.6) 128 (32.7) 97 (30.2)
    Medium 240 (33.7) 132 (33.7) 108 (33.6)
    High 248 (34.8) 132 (33.7) 116 (36.1)
    Lifestyle behaviors
    Recreational walking, n (%) 0.77
    Less once/week 280(39.1) 156 (39.6) 124 (38.5)
    At least once/week 436(60.9) 238 (60.4) 198 (61.5)
    Current drinking alcohol, n (%) <0.001
    No 277 (38.8) 174 (44.3) 103 (32.1)
    Yes 437 (61.2) 219 (55.7) 218 (67.9)
    Current smoker, n (%) 0.14
    No 676 (94.5) 377 (95.7) 299 (93.1)
    Yes 39 (5.5) 17 (4.3) 22 (6.9)
    Live alone, n (%) <0.001
    No 517 (72.3) 260 (66.0) 257 (80.1)
    Yes 198 (27.7) 134 (34.0) 64 (19.9)
    PASE, mean (SD) 1.38 (0.79) 1.30 (0.80) 1.49 (0.77) <0.001
    Social support, mean (SD) 3.00 (0.93) 3.00 (0.89) 3.00 (0.97) 0.59
    Social activity4 0.06
    Fewer 376 (52.6) 194 (49.4) 182 (56.5)
    More 339 (47.4) 199 (50.6) 140 (43.5)
    Mental health
    PSS-4, mean (SD) 3.07 (2.73) 3.08 (2.75) 3.06 (2.71) 0.95
    Resilience, mean (SD) 3.80 (0.75) 3.77 (0.76) 3.85 (0.74) 0.05
    CES-D, mean (SD) 6.71 (6.95) 7.02 (7.26) 6.33 (6.53) 0.40
    BAI, mean (SD) 6.18 (7.02) 6.66 (7.01) 5.58 (7.00) <0.001
    Fall-related variables
    FES-I, mean (SD) 23.99 (8.48) 25.45 (9.05) 22.21 (7.36) <0.001
    Indoor fall rate (per 100 person-years) 32 31 34 0.34
    Outdoor fall rate (per 100 person-years) 36 32 40 0.01

    Note:1 Others in this study included 143 (20%) Asian, 76 (10.6%) Hispanic, and 33 (4.6%) unknown. 2 The cutoff point for the five-timed chair stand test was selected based on the mean value. Low function vs. high function was defined as <15.96 s vs. ≥15.96 s. 3 The cutoff point of hand grip was selected based on its distribution. Low function vs. medium function vs. high function was defined as <30 kg, 30–36 kg, >36 kg among men; <20 kg, 20–23 kg, >23 kg among women. 4 Social activity was measured using the sum of monthly frequency of activities. Fewer activities vs. more activities was defined as ≤17 vs. >17 times per month.

     | Show Table
    DownLoad: CSV
    Table 2.  Associations between recreational walking and indoor fall rates among older adults.
    Project Indoor fall rate
    Model 1 IRR (95%CI) (N = 716) Model 2 IRR (95%CI) (N = 686) Model 3 IRR (95%CI) (N = 686) Model 4 IRR (95%CI) (N = 709)
    Female 0.89 (0.67, 1.17) 1.17 (0.81, 1.69) 1.21 (0.84, 1.76)
    Recreational walking 0.60 (0.45,0.79) 0.69 (0.52, 0.90) 0.93 (0.63, 1.37) 0.90 (0.61, 1.32)
    Female × Recreational walking 0.56 (0.33, 0.95) 0.52 (0.31, 0.87)
    Sociodemographic
    Age 1.01 (0.99, 1.04) 1.01 (0.99, 1.04) 1.01 (0.99, 1.03)
    non-Hispanic White (ref: others) 2.85 (1.90, 4.26) 2.97 (1.98, 4.45) 2.36 (1.72, 3.25)
    College (ref: high school or less) 1.33 (0.96, 1.86) 1.30 (0.93, 1.82)
    Beyond college (ref: high school or lower) 1.49 (1.00, 2.22) 1.42 (0.95, 2.12)
    Household income ≥ 50K) 1.05 (0.73, 1.50) 1.03 (0.72, 1.47)
    Household income unknown (ref: <$50K) 0.68 (0.44, 1.05) 0.68 (0.44, 1.05)
    Suburban (ref: rural area) 0.98 (0.61, 1.58) 0.97 (0.60, 1.56)
    Urban (ref: rural area) 1.41 (0.88, 2.25) 1.40 (0.87, 2.23)
    Physical health
    25–29.9 kg/m2 (ref: <25 kg/m2) 0.87 (0.63, 1.20) 0.86 (0.62, 1.19) 0.88 (0.64, 1.21)
    ≥30 kg/m2 (ref: <25 kg/m2) 0.69 (0.48, 1.00) 0.67 (0.46, 0.96) 0.70 (0.50, 1.00)
    # of medical comorbidities 1.04 (0.92, 1.17) 1.03 (0.91, 1.16)
    Moderate-severe body pain (ref: none-mild body pain) 0.94 (0.67, 1.33) 0.96 (0.68, 1.35)
    Poor-fair health (ref: good-excellent health) 1.12 (0.71, 1.77) 1.13 (0.72, 1.78)
    Functional status
    Low function in five-timed chair stand test (ref: high function) 0.95 (0.71, 1.27) 0.95 (0.71, 1.26)
    At least some difficulty in ADL (ref: no difficulty) 1.00 (0.69, 1.44) 1.00 (0.69, 1.45)
    At least some difficulty in IADL (ref: no difficulty) 0.92 (0.65, 1.30) 0.92 (0.66, 1.30)
    Medium group in hand grip (ref: low) 1.15 (0.82, 1.62) 1.20 (0.85, 1.69)
    High group in hand grip (ref: low) 1.12 (0.78, 1.61) 1.16 (0.81, 1.67)
    Lifestyle behaviors
    Current drinking alcohol (ref: not drinking) 0.95 (0.70, 1.31) 0.91 (0.67, 1.25)
    Current smoker (ref: not smoking) 1.18 (0.71, 1.94) 1.15 (0.70, 1.89)
    Living alone (ref: not living alone) 0.97 (0.71, 1.32) 1.00 (0.73, 1.36)
    PASE 0.85 (0.70, 1.04) 0.86 (0.70, 1.05)
    Social support 1.01 (0.86, 1.18) 1.01 (0.86, 1.18)
    More social activities (ref: fewer social activities) 0.88 (0.67, 1.16) 0.92 (0.70, 1.21)
    Mental Health
    PSS-4 1.00 (0.94, 1.06) 0.99 (0.94, 1.06)
    Resilience 1.23 (1.01, 1.48) 1.20 (0.99, 1.45)
    CES-D 1.02 (1.00, 1.05) 1.02 (1.00, 1.05)
    BAI 1.05 (1.02, 1.07) 1.05 (1.02, 1.07) 1.05 (1.03, 1.07)
    Fall-related variables
    FES-I 1.03 (1.00, 1.05) 1.02 (1.00, 1.05) 1.03 (1.01, 1.05)
    Model fit
    AIC 2244.52 2241.79 2252.55
    BIC 2435.81 2438.70 2320.36

    Note: Model 1: unadjusted association between recreational walking and indoor falls; Model 2: model 1 + covariables; Model 3: model 2 + interaction between female and recreational walking; Model 4: parsimonious model.

     | Show Table
    DownLoad: CSV
    Table 3.  Associations between recreational walking and outdoor fall rate among older adults.
    Project Outdoor fall rate
    Model 1 IRR (95% CI) (N = 716) Model 2 IRR (95% CI) (N = 686) Model 3 IRR (95% CI) (N = 686)
    Female 0.72 (0.54, 0.97) 0.64 (0.41, 1.00)
    Recreational walking 1.14 (0.86, 1.51) 1.09 (0.81, 1.46) 0.99 (0.66, 1.47)
    Female × Recreational walking 1.23 (0.70, 2.15)
    Sociodemographic
    Age 0.98 (0.96, 1.01) 0.98 (0.96, 1.01)
    Non-Hispanic White (ref: others) 2.90 (1.89, 4.45) 2.86 (1.86, 4.39)
    College (ref: high school or less) 0.92 (0.64, 1.31) 0.93 (0.65, 1.33)
    Beyond college (ref: high school or less) 1.17 (0.78, 1.75) 1.19 (0.79, 1.79)
    Household income ≥50K) 0.97 (0.66, 1.43) 0.98 (0.66, 1.44)
    Household income unknown (ref: <$50K) 1.00 (0.66, 1.51) 1.00 (0.66, 1.51)
    Suburban (ref: rural area) 0.86 (0.57, 1.32) 0.86 (0.57, 1.32)
    Urban (ref: rural area) 0.97 (0.63, 1.50) 0.97 (0.63, 1.50)
    Physical health
    25–29.9 kg/m2 (ref: <25 kg/m2) 0.64 (0.46, 0.91) 0.65 (0.46, 0.91)
    ≥30 kg/m2 (ref: <25 kg/m2) 0.46 (0.31, 0.69) 0.47 (0.32, 0.70)
    # of medical comorbidities 1.01 (0.89, 1.15) 1.01 (0.89, 1.16)
    Moderate-severe body pain (ref: none-mild body pain) 1.42 (0.96, 2.09) 1.42 (0.96, 2.09)
    Poor-fair health (ref: good-excellent health) 0.98 (0.56, 1.72) 0.97 (0.55, 1.71)
    Functional status
    Low function in five-timed chair stand test (ref: high function) 0.88 (0.64, 1.20) 0.88 (0.64, 1.20)
    At least some difficulty in ADL (ref: no difficulty) 1.54 (1.01, 2.36) 1.54 (1.00, 2.36)
    At least some difficulty in IADL (ref: no difficulty) 0.75 (0.51, 1.10) 0.75 (0.51, 1.10)
    Medium group in hand grip (ref: low) 1.24 (0.84, 1.81) 1.22 (0.83, 1.80)
    High group in hand grip (ref: low) 1.23 (0.83, 1.82) 1.22 (0.82, 1.80)
    Lifestyle behaviors
    Current drinking alcohol (ref: not drinking) 1.16 (0.83, 1.63) 1.17 (0.83, 1.64)
    Current smoker (ref: not smoking) 1.33 (0.80, 2.24) 1.34 (0.80, 2.25)
    Living alone (ref: not living alone) 0.78 (0.55, 1.11) 0.78 (0.55, 1.11)
    PASE 1.13 (0.92, 1.38) 1.12 (0.92, 1.37)
    Social support 1.07 (0.90, 1.29) 1.07 (0.90, 1.29)
    More social activities (ref: fewer social activities) 0.92 (0.70, 1.22) 0.91 (0.69, 1.21)
    Mental Health
    PSS-4 1.01 (0.94, 1.09) 1.01 (0.94, 1.09)
    Resilience 0.93 (0.76, 1.14) 0.93 (0.76, 1.14)
    CES-D 0.98 (0.96, 1.01) 0.98 (0.96, 1.01)
    BAI 1.03 (0.99, 1.06) 1.03 (0.99, 1.06)
    Fall-related variables
    FES-I 1.01 (0.99, 1.04) 1.01 (0.99, 1.04)
    Model fit
    AIC 2335.21 2336.70
    BIC 2526.49 2533.62

    Note: Model 1: unadjusted association between recreational walking and outdoor fall rate; Model 2: model 1 + covariables; Model 3: model 2 + interaction between female and recreational walking.

     | Show Table
    DownLoad: CSV

    This prospective cohort study provides novel information about gender differences in the relationships between recreational walking and rates of indoor and outdoor falls among community-dwelling older women and men. Key findings from the study included the following: a) a higher frequency of recreational walking was associated with a lower rate of indoor falls, but showed no effect on outdoor falls; b) women had a significant association between recreational walking and indoor fall rate that was not observed in men; c) non-Hispanic White race and ethnicity, fear of falling, and anxiety symptoms were associated with higher rates of indoor falls.

    Previous studies have found that mental health issues, poor physical function, and a higher burden of chronic diseases such as cardiovascular disease are risk factors for indoor falls [8],[25]. The effects of walking on these risk factors have been reported. Recreational walking has been shown to be associated with reduced mental health issues such as anxiety, depression, and stress [26][28]. Additionally, a study found that higher intensity of recreational walking was associated with better mental health [29]. The mechanism of the effects of recreational walking on mental health could involve a reduction in amygdala activity. The amygdala, responsible for processing emotional stimuli, becomes overactive under adverse conditions, such as re-exposure to traumatic reminders [30],[31]. Overactivity increases the risk of mental health issues such as anxiety, depression, and stress [31][33]. Research indicates that recreational walking can reduce amygdala activity, thereby improving mental health [34]. In terms of physical function and chronic diseases, systematic reviews have found that walking can reduce the risk factors of cardiovascular disease, such as lowering blood pressure and increasing aerobic capacity [35]. Furthermore, walking can improve physical function including increasing lower-body strength as well as static and dynamic balance [36],[37]. The positive effects on mental health, physical function, and cardiovascular diseases could provide potential explanations for the observed association between recreational walking and indoor fall rates.

    Consistent with previous studies, the current study did not find a significant association between recreational walking and outdoor fall rates [38]. This lack of association may be attributed to a complex interplay between the physical benefits of recreational walking and the impacts of environmental hazards on outdoor falls. While recreational walking is associated with better functional abilities and physical health, which could reduce rates of outdoor falls, these protective effects may not sufficiently counteract the impacts of environmental hazards on outdoor falls. Research has found that about 73% of outdoor falls were precipitated by environmental factors such as uneven or wet surfaces, tripping, or slipping on objects [8]. Therefore, even though older adults engaging in recreational walking have protective factors against outdoor falls, their exposure to environmental risks may counteract these benefits, contributing to the observed lack of significant association.

    The observed gender difference in the relationship between recreational walking and indoor fall rate is another important finding, which could be explained by gender differences in walking companionship. Compared to men, women were more likely to do physical activity with their friends or participate in group walking [39],[40], which serves as both physical and social activities. Group walking not only increases physical activity but also provides psychological benefits that improve mental well-being [41][43]. These benefits include distracting from negative feelings and increased release of neurotransmitters including endorphins, dopamine, and serotonin, which are known to contribute to mental health [44][47].

    Furthermore, improved physical activity and mental health have been found to enhance cognitive function and functional ability and reduce fear of falling, all of which were associated with lower rates of indoor falls [25],[48][51]. Therefore, women's greater likelihood to engage in group walking may offer combined physical and mental benefits that men are less likely to experience, explaining the observed reduction in indoor fall rates among women.

    Non-Hispanic White ethnicity was associated with higher rates of indoor and outdoor falls, but the results were different from the Maintenance of Balance, Independent Living, Intellect, and Zest in the Elderly of Boston study (MOBILIZE Boston Study), which suggested no difference in indoor fall rates among non-Hispanic White older adults but an increased rate of outdoor falls [25]. This difference may stem from methodological differences, as the MOBILIZE Boston Study primarily focused on urban areas, whereas our HANS study included urban, suburban, and rural areas. Our HANS study found that the proportion of non-Hispanic White participants living in highly car-dependent suburban and rural areas was higher than that of the other groups, which potentially might have led to spending more time indoors, being less physically active, and having higher risks of indoor falls. Additionally, our models adjusted for covariables, including sociodemographic factors, amount of physical activity, functional status, and mental health. Moreover, our study showed that higher levels of fear of falling were associated with higher indoor fall rates, consistent with findings from prior studies [9]. Importantly, a meta-analysis found a positive association between anxiety and falls, but our specific findings suggested that anxiety symptoms may be related more to indoor rather than outdoor falls [52].

    This study has several strengths. First, it contributes to the understanding of gender differences in recreational walking and falls among community-dwelling older adults. Further, we found that gender differences should be considered in fall prevention; this study may be the first to provide estimates of differences between women and men in terms of recreational walking and its effect on indoor and outdoor falls. There are also some limitations in this study. First, recall bias or age-related memory issues could affect the reliability and accuracy of the collected data. To minimize this issue, monthly falling calendars and phone interviews shortly after a fall was reported were used to improve accuracy. Second, the measurement of recreational walking is based on frequency but lacks duration and intensity, which could also affect fall risks. Recreational walking was only collected at the baseline visit, and participants' recreational walking habits may change over the study period; this could affect the associations between recreational walking and falls. Finally, in addition to the risk factors considered in the current study, specific medical conditions, medication use, and environmental factors such as living space, public safety, or flat terrain could affect the associations. Further studies are needed to account for these factors.

    In conclusion, the primary finding of this study was that for older women, but not men, a higher frequency of recreational walking was associated with lower rates of subsequent indoor falls. These results provide specific information about gender differences in the relationship between recreational walking and indoor and outdoor fall rates and elucidate the social and health factors associated with indoor and outdoor falls. These findings provide new insights and hypotheses about how recreational walking may affect falls differently in men and women.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.


    Acknowledgments



    This work was supported by the National Institute on Aging (NIA), USA (Grant Number: R01AG066492; PI: Wenjun Li). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
    We would like to thank the community organizations we have collaborated with in Massachusetts for their support. These community organizations include Active Life Adult Day Center in Fitchburg; Amrit Sabha Adult Day Care Center in Northborough; Anew Adult Day Care Center in Billerica; Arca Adult Day Health in Worcester; City of Lawrence Veterans' Services in Lawrence; Fitchburg Green in Fitchburg; Golden Way Adult Day Care Center in Waltham; Green Hill Towers in Worcester; Groton Herald in Groton; Harvard Joyful Adult Health, LLC in Harvard; Learning in Retirement Association in Lowell; Millennium Home Adult Day Healthcare in Westford; Shirley Council on Aging in Shirley; Shrewsbury Council on Aging in Shrewsbury; Shrewsbury Senior Center in Shrewsbury; Spanish American Center in Leominster; Sterling Senior Center in Sterling; Worcester Housing Authority in Worcester; Worcester Senior Center in Worcester; Xiangfu Adult Day Care Center in Chelmsford.

    Authors' contribution



    Dr. Wenjun Li conceived the study, obtained the funding, and guided the analysis. Qun Le was responsible for project management and IRB submissions. Danielle LoPilato, Marianella Ferretto, Qun Le, and Lingming Chen recruited and followed participants. Dr. Elizabeth Procter-Gray and Kevin Kane did the data management. Lingming Chen conducted the statistical analysis and drafted the manuscript. Dr. Wenjun Li, Dr. Elizabeth Procter-Gray, Kevin Kane, Dr. Marian T. Hannan and Dr. Sarah Berry contributed to the revision of the manuscript. All authors read and approved the manuscript.

    Conflict of interest



    Wenjun Li is an associate editor in chief for AIMS Public Health and was not involved in the editorial review or the decision to publish this article. All authors declare that there are no competing interests.

    [1] Vaishya R, Vaish A (2020) Falls in older adults are serious. Indian J Orthop 54: 69-74. https://doi.org/10.1007/s43465-019-00037-x
    [2] Moreland B, Kakara R, Henry A (2020) Trends in nonfatal falls and fall-related injuries among adults aged ≥65 years—United States, 2012–2018. Morb Mortal Wkly Rep 69: 875-881. https://doi.org/10.15585/mmwr.mm6927a5
    [3] Houry D, Florence C, Baldwin G, et al. (2015) The CDC injury center's response to the growing public health problem of falls among older adults. Am J Lifestyle Med 10: 74-77. https://doi.org/10.1177/1559827615600137
    [4] Freiberger E, Sieber CC, Kob R (2020) Mobility in older community-dwelling persons: A narrative review. Front Physiol 11. https://www.frontiersin.org/articles/10.3389/fphys.2020.00881
    [5] Pitchai P, Dedhia HB, Bhandari N, et al. (2019) Prevalence, risk factors, circumstances for falls and level of functional independence among geriatric population-A descriptive study. Indian J Public Health 63: 21. https://doi.org/10.4103/ijph.IJPH_332_17
    [6] Cross SH, Anderson DM, Cox CE, et al. (2022) Trends in location of death among older adult Americans after falls. Gerontol Geriatr Med 8: 23337214221098897. https://doi.org/10.1177/23337214221098897
    [7] Kakara R (2023) Nonfatal and fatal falls among adults aged ≥65 years—United States, 2020–2021. MMWR Morb Mortal Wkly Rep 72. https://doi.org/10.15585/mmwr.mm7235a1
    [8] Li W, Keegan THM, Sternfeld B, et al. (2006) Outdoor falls among middle-aged and older adults: A neglected public health problem. Am J Public Health 96: 1192-1200. https://doi.org/10.2105/AJPH.2005.083055
    [9] Kelsey JL, Procter-Gray E, Hannan MT, et al. (2012) Heterogeneity of falls among older adults: Implications for public health prevention. Am J Public Health 102: 2149-2156. https://doi.org/10.2105/AJPH.2012.300677
    [10] Duckham RL, Procter-Gray E, Hannan MT, et al. (2013) Sex differences in circumstances and consequences of outdoor and indoor falls in older adults in the MOBILIZE Boston cohort study. BMC Geriatr 13: 133. https://doi.org/10.1186/1471-2318-13-133
    [11] Procter-Gray E, Leveille SG, Hannan MT, et al. (2015) Variations in community prevalence and determinants of recreational and utilitarian walking in older age. J Aging Res 2015: 382703. https://doi.org/10.1155/2015/382703
    [12] Ghani F, Rachele JN, Washington S, et al. (2016) Gender and age differences in walking for transport and recreation: Are the relationships the same in all neighborhoods?. Prev Med Rep 4: 75-80. https://doi.org/10.1016/j.pmedr.2016.05.001
    [13] Pollard TM, Wagnild JM (2017) Gender differences in walking (for leisure, transport and in total)across adult life: A systematic review. BMC Public Health 17: 341. https://doi.org/10.1186/s12889-017-4253-4
    [14] Li W, Procter-Gray E, Churchill L, et al. (2017) Gender and age differences in levels, types and locations of physical activity among older adults living in car-dependent neighborhoods. J Frailty Aging 6: 129-135. https://doi.org/10.14283/jfa.2017.15
    [15] Chan E, Procter-Gray E, Churchill L, et al. (2020) Associations among living alone, social support and social activity in older adults. AIMS Public Health 7: 521-534. https://doi.org/10.3934/publichealth.2020042
    [16] Katz S (1983) Assessing self-maintenance: Activities of daily living, mobility, and instrumental activities of daily living. J Am Geriatr Soc 31: 721-727. https://doi.org/10.1111/j.1532-5415.1983.tb03391.x
    [17] Lawton MP, Brody EM (1969) Assessment of older people: Self-maintaining and instrumental activities of daily living. Gerontologist 9: 179-186.
    [18] Lewinsohn PM, Seeley JR, Roberts RE, et al. (1997) Center for Epidemiologic Studies Depression scale (CES-D) as a screening instrument for depression among community-residing older adults. Psychol Aging 12: 277-287. https://doi.org/10.1037//0882-7974.12.2.277
    [19] Beck AT, Epstein N, Brown G, et al. (1988) An inventory for measuring clinical anxiety: psychometric properties. J Consult Clin Psychol 56: 893-897. https://doi.org/10.1037//0022-006x.56.6.893
    [20] Cohen S, Kamarck T, Mermelstein R (1983) A global measure of perceived stress. J Health Soc Behav 24: 385-396. https://doi.org/10.2307/2136404
    [21] Felix AS, Lehman A, Nolan TS, et al. (2019) Stress, resilience, and cardiovascular disease risk among black women. Circ Cardiovasc Qual Outcomes 12: e005284. https://doi.org/10.1161/CIRCOUTCOMES.118.005284
    [22] Washburn RA, Smith KW, Jette AM, et al. (1993) The physical activity scale for the elderly (PASE): Development and evaluation. J Clin Epidemiol 46: 153-162. https://doi.org/10.1016/0895-4356(93)90053-4
    [23] Women's health initiative questionnaires. Available from: https://www.whi.org/formList
    [24] Yardley L, Beyer N, Hauer K, et al. (2005) Development and initial validation of the Falls Efficacy Scale-International (FES-I). Age Ageing 34: 614-619. https://doi.org/10.1093/ageing/afi196
    [25] Kelsey JL, Berry SD, Procter-Gray E, et al. (2010) Indoor and outdoor falls in older adults are different: The maintenance of balance, independent living, intellect, and zest in the elderly of boston study. J Am Geriatr Soc 58: 2135-2141. https://doi.org/10.1111/j.1532-5415.2010.03062.x
    [26] Yu J, Chiu YL, Guu SM, et al. (2024) The association between leisure activity and mental health in the older adults in China: Amazing Guangchangwu. Front Public Health 11. https://doi.org/10.3389/fpubh.2023.1291809
    [27] Piva G, Caruso L, Gómez AC, et al. (2024) Effects of forest walking on physical and mental health in elderly populations: A systematic review. Rev Environ Health 39: 121-136. https://doi.org/10.1515/reveh-2022-0093
    [28] Ruiz-Comellas A, Valmaña GS, Catalina QM, et al. (2022) Effects of physical activity interventions in the elderly with anxiety, depression, and low social support: A clinical multicentre randomised trial. Healthcare (Basel) 10: 2203. https://doi.org/10.3390/healthcare10112203
    [29] Han A, Kim J, Kim J (2021) A study of leisure walking intensity levels on mental health and health perception of older adults. Gerontol Geriatr Med 7: 2333721421999316. https://doi.org/10.1177/2333721421999316
    [30] Kessler R, Schmitt S, Sauder T, et al. (2020) Long-term neuroanatomical consequences of childhood maltreatment: Reduced amygdala inhibition by medial prefrontal cortex. Front Syst Neurosci 14: 28. https://doi.org/10.3389/fnsys.2020.00028
    [31] Liu WZ, Zhang WH, Zheng ZH, et al. (2020) Identification of a prefrontal cortex-to-amygdala pathway for chronic stress-induced anxiety. Nat Commun 11: 2221. https://doi.org/10.1038/s41467-020-15920-7
    [32] Ramasubbu R, Konduru N, Cortese F, et al. (2014) Reduced intrinsic connectivity of amygdala in adults with major depressive disorder. Front Psychiatry 5. https://doi.org/10.3389/fpsyt.2014.00017
    [33] Zhang X, Ge TT, Yin G, et al. (2018) Stress-induced functional alterations in amygdala: Implications for neuropsychiatric diseases. Front Neurosci 12. https://doi.org/10.3389/fnins.2018.00367
    [34] Sudimac S, Sale V, Kühn S (2022) How nature nurtures: Amygdala activity decreases as the result of a one-hour walk in nature. Mol Psychiatry 27: 4446-4452. https://doi.org/10.1038/s41380-022-01720-6
    [35] Murtagh EM, Nichols L, Mohammed MA, et al. (2015) The effect of walking on risk factors for cardiovascular disease: An updated systematic review and meta-analysis of randomised control trials. Prev Med 72: 34-43. https://doi.org/10.1016/j.ypmed.2014.12.041
    [36] Sithichoksakulchai S, Chen MC, Chen KM (2022) Walking promotes physical fitness of community-dwelling older adults: A systematic review and meta-analysis. Top Geriatr Rehabil 38: 101. https://doi.org/10.1097/TGR.0000000000000351
    [37] Roh KH, Park HA (2013) A meta-analysis of the effect of walking exercise on lower limb muscle endurance, whole body endurance and upper body flexibility in elders. J Korean Acad Nurs 43: 536-546. https://doi.org/10.4040/jkan.2013.43.4.536
    [38] Li W, Procter-Gray E, Lipsitz LA, et al. (2014) Utilitarian walking, neighborhood environment, and risk of outdoor falls among older adults. Am J Public Health 104: e30-e37. https://doi.org/10.2105/AJPH.2014.302104
    [39] Rigby BP, Dodd-Reynolds CJ, Oliver EJ (2020) Inequities and inequalities in outdoor walking groups: A scoping review. Public Health Rev 41: 4. https://doi.org/10.1186/s40985-020-00119-4
    [40] Smith GSE, Moyle W, Burton NW (2023) Frequency of physical activity done with a companion: Changes over seven years in adults aged 60+ living in an Australian capital city. J Aging Health 35: 736-748. https://doi.org/10.1177/08982643231158424
    [41] Liu Y, Lachman ME (2021) A group-based walking study to enhance physical activity among older adults: The role of social engagement. Res Aging 43: 368-377. https://doi.org/10.1177/0164027520963613
    [42] Marselle MR, Irvine KN, Warber SL (2013) Walking for well-being: Are group walks in certain types of natural environments better for well-being than group walks in urban environments?. Int J Environ Res Public Health 10: 5603-5628. https://doi.org/10.3390/ijerph10115603
    [43] Meads C, Exley J (2018) A systematic review of group walking in physically healthy people to promote physical activity. Int J Technol Assess Health Care 34: 27-37. https://doi.org/10.1017/S0266462317001088
    [44] Young SN (2007) How to increase serotonin in the human brain without drugs. J Psychiatry Neurosci JPN 32: 394-399.
    [45] Anderson E, Shivakumar G (2013) Effects of exercise and physical activity on anxiety. Front Psychiatry 4: 27. https://doi.org/10.3389/fpsyt.2013.00027
    [46] Mikkelsen K, Stojanovska L, Polenakovic M, et al. (2017) Exercise and mental health. Maturitas 106: 48-56. https://doi.org/10.1016/j.maturitas.2017.09.003
    [47] Smoski MJ, LaBar KS, Steffens DC (2014) Relative effectiveness of reappraisal and distraction in regulating emotion in late-life depression. Am J Geriatr Psychiatry 22: 898-907. https://doi.org/10.1016/j.jagp.2013.01.070
    [48] Xu L, Gu H, Cai X, et al. (2023) The effects of exercise for cognitive function in older adults: A Systematic review and meta-analysis of randomized controlled trials. Int J Environ Res Public Health 20: 1088. https://doi.org/10.3390/ijerph20021088
    [49] Savvakis I, Adamakidou T, Kleisiaris C (2024) Physical-activity interventions to reduce fear of falling in frail and pre-frail older adults: A systematic review of randomized controlled trials. Eur Geriatr Med 15: 333-344. https://doi.org/10.1007/s41999-024-00944-9
    [50] Yin J, John A, Cadar D (2024) Bidirectional associations of depressive symptoms and cognitive function over time. JAMA Netw Open 7: e2416305. https://doi.org/10.1001/jamanetworkopen.2024.16305
    [51] Zhou R, Li J, Chen M (2022) The association between cognitive impairment and subsequent falls among older adults: Evidence from the China health and retirement longitudinal study. Front Public Health 10: 900315. https://doi.org/10.3389/fpubh.2022.900315
    [52] Hallford DJ, Nicholson G, Sanders K, et al. (2017) The association between anxiety and falls: A Meta-analysis. J Gerontol Ser B 72: 729-741. https://doi.org/10.1093/geronb/gbv160
  • Reader Comments
  • © 2025 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(596) PDF downloads(40) Cited by(0)

Figures and Tables

Tables(3)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog