Falls Among Older Adults During the COVID-19 Pandemic: A Multicenter Cross-Sectional Study in Vietnam.

Purpose: We aimed to investigate the prevalence and factors associated with falls in older adult outpatients during the coronavirus disease (COVID-19) pandemic in Vietnam. Patients and
Methods: From February 2022 to June 2022, this cross-sectional study included 814 patients (aged ≥60 years; mean age 71.8 ± 7.3 years; women, 65.2%) attending three geriatric clinics for a comprehensive geriatric assessment. Self-reported fall events in the past 12 months and post-COVID-19 falls were assessed. Factors associated with falls were determined using logistic regression analysis.
Results: In total, 188 patients (23.1%) had falls (single fall, 75.5%; recurrent falls, 24.5%). The most frequent location, time, and circumstance of falls were the bedroom (43.1%), morning (54.3%), and dizziness (34.6%), respectively. Most patients experienced health issues after falls (bruise/grazes, 53.7%; fracture, 12.8%; immobility, 9.6%; hospital admission, 14.9%). In the adjusted model, factors associated with falls were being underweight (odds ratio [OR] 2.50, 95% confidence interval [CI] 1.37-4.56, P = 0.003), limitations in instrumental activities of daily living (OR 2.03, 95% CI 1.05-3.95, P = 0.036), poor sleep quality (OR 1.83, 95% CI 1.10-3.05, P = 0.020), and fear of falling (OR 3.45, 95% CI 2.23-5.33, P <0.001). Among 357 COVID-19 infected patients, post-COVID-19 falls occurred in 35 patients (9.8%) and were associated with fear of falling (OR 3.14, 95% CI 1.18-8.40, P = 0.023) and post-COVID-19 lower limb weakness (OR 2.55, 95% CI 1.07-6.10, P = 0.035).
Conclusion: Our study found a substantial prevalence of falls among older outpatients during the COVID-19 pandemic in Vietnam. Management of factors associated with falls may be needed to reduce the burden of falls in the older population.

Introduction

The coronavirus disease (COVID-19) pandemic has caused a major global communicable disease burden. Since the first COVID-19 cases were reported in January 2020,1 there have been four waves of the COVID-19 pandemic in Vietnam, a lower middle-income country in Southeast Asia.2 The Government of Vietnam has responded promptly and flexibly to achieve effective control of the pandemic through multiple policy tools and drastic measures, combined with launching the largest and fastest free vaccination campaign ever for the entire population of the country.3,4 According to the World Health Organization (WHO), in Vietnam, 10,749,324 confirmed COVID-19 cases with 43,088 deaths have been reported as of July 2022. Furthermore, a total of 228,484,003 COVID-19 vaccine doses have been administered, with 85,986,076 persons having received at least one dose and 78,872,470 persons being fully vaccinated.4

The COVID-19 pandemic has had a significant impact on the older population.5 Older individuals are more susceptible to COVID-19 and they are a vulnerable population group with a higher risk of complications and mortality as a result of age-related physiological alterations, immunosenescence, and comorbidities.6,7 In addition, the increased risk of virus infection, hospitalization, and associated fatal events has led to strict shelter-in-place lockdown restrictions in several countries, including Vietnam However, these measures can have adverse psychological effects on older adults due to the loss of social support, barriers to healthcare access, limited contact, and loneliness.8,9 Notably, as a result of social distancing and social isolation, older adults reported decreased time spent in physical activity and more sedentary behaviors,10 which may be associated with increased risk of disabilities and falls.11,12

Falls are commonly defined as inadvertently coming to rest on a lower level, excluding an intentional change in the position to rest on furniture, walls, or other objects.13 According to the WHO, falls are the world’s second leading cause of unintentional injury and mortality, and the frequency of falls increases with age.14 Cognitive impairment, reduced vision, neurologic changes, environmental hazards, and risky behaviors were considered common factors in the mechanisms that precipitate in falls in the older adults.15 This geriatric syndrome poses a considerable health issue in the older adult population with a variety of physical, psychological, and social consequences that require medical attention.13 In Vietnam, a previous study showed that falls occurred in 23.7% of outpatients aged ≥60 years.16 However, the patient enrollment for the previous study was conducted in 2018, before the COVID-19 pandemic. Therefore, the results of the previous study cannot reflect the impact of the pandemic on falls in older adults and the pattern of falls in COVID-19 infected older individuals. Furthermore, little is known about the burden of falls among older adults worldwide during the COVID-19 pandemic. Therefore, the present study aimed to determine the prevalence of all fall events among older outpatients during the COVID-19 pandemic in Vietnam as well as the prevalence of post-COVID-19 falls among COVID-19 infected older individuals. We also aimed to investigate the differences between the faller and non-faller groups and the COVID-19 infected and COVID-19 non-infected groups and identify the factors associated with all fall events and post-COVID-19 falls.

Patients and Methods

Study Design, Participants, and Data Collection

From February 2022 to June 2022, this cross-sectional study was conducted in outpatients aged ≥60 years at the geriatric clinics of three hospitals (Gia Dinh People’s hospital, Cho Ray hospital, and University Medical Center, Ho Chi Minh City, Vietnam). Patients with acute illness or serious mental condition were excluded. The study was carried out in accordance with the ethical principles stated in the Declaration of Helsinki. All the participants provided written informed consent. This study was approved by the Ethics Committee of the University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam (reference number: 683/HĐĐĐ-ĐHYD). Data collection was performed during the clinic visit. Patients were physically examined and then instructed to complete a structured questionnaire after a careful explanation and personal interview with trained geriatricians. The caregivers were asked to ensure the correct reporting context. The demographic characteristics and comorbidities were obtained from interviews and electronic medical records. On an average, it took 30–40 min to complete an interview.

Assessment of Falls

Participants self-reported information on falls in the past 12 months, including the number of falls (one or more falls), location of falls (living room, bedroom, bathroom, staircase, kitchen, hallway/corridor, outside home, and others), circumstances of falls (dizziness, loss of balance, slippery surface, tripping, riding a bike/motorbike, and others), and health issues after falls (bruise/grazes, fracture, immobility, and hospital admission). Time of falls was divided into four hour categories: 5:00 am–12:00 pm, 12:00 pm–5:00 pm, 5:00 pm–11:00 pm, and 11:00 pm–5:00 am.

Independent Variables

The multimorbidity and polypharmacy data were collected from the current electronic medical records. Polypharmacy was defined as taking five or more medications. Multimorbidity was defined as the presence of two or more chronic diseases. Educational levels included pre-senior high school, senior high school, and tertiary education. Marital status was divided into three groups: married, widowed, and single/divorced. Alcohol consumption in the past 12 months was self-reported and classified as alcohol intake and non-alcohol intake. Decreased outdoor recreation (eg shopping, walking, fishing) was determined if the older adults reported spending less time outdoors than before the pandemic. Body mass index (BMI) was calculated by dividing the body weight (kg) with the square of the body height (m2). Bodyweight and height were measured following a standardized protocol using identical equipment. BMI was stratified as per the WHO’s guidelines for the Asia-Pacific region and defined as underweight (<18.5 kg/m2), normal weight (18.5–22.9 kg/m2), overweight (23.0–24.9 kg/m2), and obese (≥25 kg/m2).17

Functional status was self-reported using the Katz activities of daily living (ADLs) and Lawton instrumental ADLs indices. The ADLs include six tasks: bathing, dressing, toileting, transferring, continence, and feeding. The instrumental ADLs include eight tasks: using the telephone, preparing food, shopping, housekeeping, doing laundry, using transportation, handling medications, and handling finances.18,19 Older adults were coded as having limitations in ADLs or instrumental ADLs if they were unable to complete one or more tasks by themselves. Fear of falling was assessed by the Falls Efficacy Scale-International (FES-I) with 16 questions related to functional tasks and social aspects of falls. A total score of >23 indicates fear of falling.20 Frailty was screened by the Program of Research to Integrate Services for the Maintenance of Autonomy 7 (PRISMA-7) questionnaire with seven dichotomous questions, each scoring 0 or 1 point. A total score of ≥3 was considered indicative of frailty.21 Depressive disorder was evaluated using the 15-item geriatric depression scale (GDS). A total score of ≥5 was considered to indicate depression.22 Sleep quality was assessed by the Pittsburgh sleep quality index (PSQI). A total score of ≥5 indicates poor sleep quality.23

COVID-19 infected participants self-reported post-COVID-19 medical conditions, including fatigue, attention disorder, headache, hair loss, dyspnea, lower limb weakness, and decreased physical activity (compared to those before the COVID-19 infection). Time from COVID-19 infection to study enrolment was divided into <3 months and ≥3 months.

Sample Size Calculation

Sample size was calculated using a single population proportion formula: n = Z21- α/2*(p*[1-p]/d2), with n = required sample size, Z1- α/2 = 1.96 (with α = 0.05 and 95% confidence interval), p = prevalence of falls in older adults, and d = precision (assumed as 0.03). A previous study showed that falls occurred in 23.7% of older outpatients in Vietnam.16 Therefore, the required sample size for this study was a minimum of 810 participants with an allowable margin of error of 5%.

Statistical Analyses

All the collected data were analyzed using IBM SPSS Statistics, version 25 (IBM Corp., Armonk, N.Y., USA). Categorical variables were described as frequencies and percentages (%). Continuous variables were expressed as means and standard deviations. To perform between-group comparisons of baseline characteristics, all the participants were divided into the faller group and the non-faller group or the COVID-19 infected group and the COVID-19 non-infected group. Comparisons between two groups were conducted using the chi-square test or Fisher’s exact test for categorical variables and Student’s t-test for continuous variables. Univariate logistic regression was performed on the potential factors associated with falls. Variables with P values <0.2 in the univariate analysis were selected for multivariate logistic regression. All variables were examined for interaction and multicollinearity. Odds ratio (OR) was calculated with 95% confidence interval (95% CI). Statistical significance was defined as a two-tailed value of P <0.05.

Results

Prevalence of Falls and Baseline Characteristics of Participants

Of the 821 patients assessed for eligibility, 7 patients were excluded due to acute illness (5 patients) and serious mental condition (2 patients). shows the flow diagram for the study participants. Among the 814 patients included in this study, there were 188 reported falls (23.1%). Table 1 summarizes the baseline characteristics of the participants by falls. The faller group was significantly older, had female predominance, lower BMI, higher rates of using psychotropic drugs, polypharmacy, multimorbidity, decreased outdoor recreation time, limitations in ADLs and instrumental ADLs, depression, frailty, poor sleep quality, and fear of falling than the non-faller group. Hypertension, stroke, and osteoarthritis were more frequently reported in the faller group. Of the 357 COVID-19 infected patients, total fall events and post-COVID-19 falls were reported in 84 (23.5%) and 35 patients (9.8%), respectively. Table 2 summarizes the baseline characteristics of the patients by COVID-19 infection. There was no significant difference in the rate of total falls between the COVID-19 infected and non-infected groups.

Table 1

Baseline Characteristics of Participants According to Falls

Characteristics	Total (n = 814)	Faller Group (n = 188)	Non-Faller Group (n = 626)	P valuea
Age, years	71.8 ± 7.3	74.0 ± 7.7	71.2 ± 7.0	< 0.001
Age ≥ 75 years, n (%)	262 (32.2)	86 (45.7)	176 (28.1)	< 0.001
Women, n (%)	531 (65.2)	146 (77.7)	385 (61.5)	< 0.001
Keep working after retirement, n (%)	78 (9.6)	19 (10.1)	59 (9.4)	0.781
Living alone, n (%)	229 (28.1)	56 (29.8)	173 (27.6)	0.565
Marital status, n (%)				0.053
Married	543 (66.7)	112 (59.6)	431 (68.8)
Widowed	201 (24.7)	58 (30.9)	143 (22.8)
Single or divorced	70 (8.6)	18 (9.6)	52 (8.3)
Level of education, n (%)				0.154
Pre-senior high school	490 (60.2)	122 (64.9)	368 (58.8)
Senior high school	209 (25.7)	47 (25.0)	162 (25.9)
Tertiary education	115 (14.1)	19 (10.1)	96 (15.3)
BMI, kg/m2	22.6 ± 3.1	22.2 ± 3.4	22.7 ± 2.9	0.035
BMI groups, n (%)				< 0.001
Underweight	78 (9.6)	36 (19.1)	42 (6.7)
Normal	402 (49.4)	78 (41.5)	324 (51.8)
Overweight	174 (21.4)	38 (20.2)	136 (21.7)
Obese	160 (19.7)	36 (19.1)	124 (19.8)
Alcohol consumption, n (%)	40 (4.9)	11 (5.9)	29 (4.6)	0.498
Psychotropic drugs, n (%)	90 (11.1)	30 (16.0)	60 (9.6)	0.017
Polypharmacy, n (%)	527 (64.7)	138 (73.4)	389 (62.1)	0.005
Multimorbidity, n (%)	649 (79.7)	162 (86.2)	487 (77.8)	0.013
Decreased outdoor recreation, n (%)	377 (46.3)	106 (56.4)	271 (43.3)	0.002
Limitations in ADLs, n (%)	46 (5.7)	28 (14.9)	18 (2.9)	< 0.001
Limitations in instrumental ADLs, n (%)	220 (27.0)	93 (49.5)	127 (20.3)	< 0.001
Depression, n (%)	114 (14.0)	46 (24.5)	68 (10.9)	< 0.001
Frailty, n (%)	215 (26.4)	87 (46.3)	128 (20.4)	< 0.001
Poor sleep quality, n (%)	556 (68.3)	162 (86.2)	394 (62.9)	< 0.001
Fear of falling, n (%)	362 (44.5)	143 (76.1)	219 (35.0)	< 0.001
History of COVID-19 infection, n (%)	357 (43.9)	84 (44.7)	273 (43.6)	0.802
Medical history, n (%)
Hypertension	701 (86.1)	172 (91.5)	529 (84.5)	0.016
Coronary artery disease	267 (32.8)	69 (36.7)	198 (31.6)	0.194
Heart failure	34 (4.2)	8 (4.3)	26 (4.2)	0.951
Stroke	44 (5.4)	17 (9.0)	27 (4.3)	0.016
Diabetes mellitus	194 (23.8)	40 (21.3)	154 (24.6)	0.380
Osteoarthritis	334 (41.0)	95 (50.5)	239 (38.2)	0.003
Chronic pulmonary diseases	38 (4.7)	9 (4.8)	29 (4.6)	0.930
Chronic venous insufficiency	121 (14.9)	32 (17.0)	89 (14.2)	0.344
Chronic kidney disease	174 (21.4)	43 (22.9)	131 (20.9)	0.568

Note: aFaller group vs non-faller group.

Abbreviations: ADLs, activities of daily living; BMI, body mass index.

Table 2

Baseline Characteristics of Participants According to COVID-19 Infection

Characteristics	Total (n = 814)	Infected Group (n = 357)	Non-Infected Group (n = 457)	P valuea
Age, years	71.8 ± 7.3	69.5 ± 7.1	73.6 ± 6.9	< 0.001
Age ≥ 75 years, n (%)	262 (32.2)	79 (22.1)	183 (40.0)	< 0.001
Women, n (%)	531 (65.2)	257 (72.0)	274 (60.0)	< 0.001
Keep working after retirement, n (%)	78 (9.6)	43 (12.0)	35 (7.7)	0.041
Living alone, n (%)	229 (28.1)	204 (57.1)	25 (5.5)	< 0.001
Marital status, n (%)				0.004
Married	543 (66.7)	260 (72.8)	283 (61.9)
Widowed	201 (24.7)	73 (20.4)	128 (28.0)
Single or divorced	70 (8.6)	24 (6.7)	46 (10.1)
Level of education, n (%)				0.779
Pre-senior high school	490 (60.2)	218 (61.1)	272 (59.5)
Senior high school	209 (25.7)	92 (25.8)	117 (25.6)
Tertiary education	115 (14.1)	47 (13.2)	68 (14.9)
BMI, kg/m2	22.6 ± 3.1	22.6 ± 2.9	22.7 ± 3.2	0.495
BMI groups, n (%)				0.868
Underweight	78 (9.6)	33 (9.2)	45 (9.8)
Normal	402 (49.4)	180 (50.4)	222 (48.6)
Overweight	174 (21.4)	78 (21.8)	96 (21.0)
Obese	160 (19.7)	66 (18.5)	94 (20.6)
Alcohol consumption, n (%)	40 (4.9)	11 (3.1)	29 (6.3)	0.034
Psychotropic drugs, n (%)	90 (11.1)	32 (9.0)	58 (12.7)	0.114
Polypharmacy, n (%)	527 (64.7)	165 (46.2)	362 (79.2)	< 0.001
Multimorbidity, n (%)	649 (79.7)	234 (65.5)	415 (90.8)	< 0.001
Decreased outdoor recreation, n (%)	377 (46.3)	111 (31.1)	266 (58.2)	< 0.001
Limitations in ADLs, n (%)	46 (5.7)	14 (3.9)	32 (7.0)	0.067
Limitations in instrumental ADLs, n (%)	220 (27.0)	80 (22.4)	140 (30.6)	0.009
Depression, n (%)	114 (14.0)	63 (17.6)	51 (11.2)	0.011
Frailty, n (%)	215 (26.4)	72 (20.2)	143 (31.3)	< 0.001
Poor sleep quality, n (%)	556 (68.3)	256 (71.7)	300 (65.6)	0.069
Fear of falling, n (%)	362 (44.5)	157 (44.0)	205 (44.9)	0.831
Falls, n (%)	188 (23.1)	84 (23.5)	104 (22.8)	0.802
Medical history, n (%)
Hypertension	701 (86.1)	276 (77.3)	425 (93.0)	< 0.001
Coronary artery disease	267 (32.8)	81 (22.7)	186 (40.7)	< 0.001
Heart failure	34 (4.2)	26 (7.3)	8 (1.8)	< 0.001
Stroke	44 (5.4)	24 (6.7)	20 (4.4)	0.161
Diabetes mellitus	194 (23.8)	88 (24.6)	106 (23.2)	0.679
Osteoarthritis	334 (41.0)	104 (29.1)	230 (50.3)	< 0.001
Chronic pulmonary diseases	38 (4.7)	18 (5.0)	20 (4.4)	0.738
Chronic venous insufficiency	121 (14.9)	50 (14.0)	71 (15.5)	0.553
Chronic kidney disease	174 (21.4)	61 (17.1)	113 (24.7)	0.010

Note: aCOVID-19 infected group vs COVID-19 non-infected group.

Abbreviations: ADLs, activities of daily living; BMI, body mass index.

The COVID-19 infected patients were assigned to a post-COVID-19 faller or post-Covid-19 non-faller group. Table 3 compares the characteristics of the post-COVID-19 conditions between the two groups. The rate of COVID-19 related hospitalization was significantly higher in the post-COVID-19 faller than in the post-Covid-19 non-faller group. Post-COVID-19 conditions were more significantly prevalent in the post-COVID-19 faller group than in the post-Covid-19 non-faller group. The three most common post-COVID-19 conditions were fatigue, lower limb weakness, and decreased physical activity. Compared to the post-Covid-19 non-faller group, the post-COVID-19 faller group exhibited significantly higher rates of attention disorder, lower limb weakness, and decreased physical activity.

Table 3

Characteristics of Post-COVID-19 Conditions According to Post-COVID-19 Falls

Characteristics	All Infected (n = 357)	Post-COVID-19 Falls		P valuea
		Yes (n = 35)	No (n = 322)
Time from COVID-19 infection to the enrolment, n (%)				0.078
< 3 months	178 (49.9)	12 (34.3)	166 (51.6)
≥ 3 months	179 (50.1)	23 (65.7)	156 (48.4)
COVID-19 related hospitalisation, n (%)	43 (12.0)	10 (28.6)	33 (10.2)	0.004
Any post-COVID-19 conditions, n (%)	297 (83.2)	34 (97.1)	263 (81.7)	0.037
Fatigue	218 (61.1)	26 (74.3)	191 (59.6)	0.132
Attention disorder	63 (17.6)	11 (31.4)	52 (16.1)	0.044
Headache	60 (16.8)	8 (22.9)	52 (16.1)	0.441
Hair loss	54 (15.1)	6 (17.1)	48 (14.9)	0.919
Dyspnea	67 (18.8)	5 (14.3)	62 (19.3)	0.626
Lower limb weakness	121 (33.9)	22 (62.9)	99 (30.7)	< 0.001
Decreased physical activity	113 (31.7)	19 (54.3)	94 (29.2)	0.005

Note: aFaller group vs non-faller group.

Characteristics of Falls

The characteristics of falls by history of COVID-19 infection are shown in Table 4. Among 188 fallers, a single fall was three times greater than recurrent falls. In our study, no participant reported falling in the living room or kitchen. The most frequently reported site of falls was the bedroom. The most frequent circumstances associated with falls were dizziness and a slippery surface. Approximately two-thirds of fallers experienced at least one health issue after the fall, and the most frequent was bruise/grazes. While the majority of total fall events occurred in the morning, most of the post-COVID-19 falls occurred in the bedtime.

Table 4

Characteristics of Falls According to COVID-19 Infection

Characteristics	Total (n = 188)	Non-Infected Group	Infected Group
		All (n = 104)	All (n = 84)	Post-COVID-19 (n = 35)
Number of falls, n (%)
Single fall	142 (75.5)	74 (71.2)	68 (81.0)	24 (68.6)
Recurrent falls	46 (24.5)	30 (28.8)	16 (19.0)	11 (31.4)
Location of falls, n (%)
Bedroom	81 (43.1)	45 (43.3)	36 (42.9)	20 (57.1)
Bathroom	56 (29.8)	33 (31.7)	23 (27.4)	10 (28.6)
Staircase	17 (9.0)	9 (8.7)	8 (9.5)	5 (14.3)
Hallway/corridor	15 (8.0)	7 (6.7)	8 (9.5)	2 (5.7)
Outside home	53 (28.2)	32 (30.8)	21 (25.0)	7 (20.0)
Time of falls, n (%)
5:00 a.m–12:00 p.m	102 (54.3)	65 (62.5)	37 (44.0)	13 (37.1)
12:00 p.m–5:00 p.m	43 (22.9)	18 (17.3)	25 (29.8)	10 (28.6)
5:00 p.m–11:00 p.m	35 (18.6)	22 (21.2)	13 (15.5)	4 (11.4)
11:00 p.m–5:00 a.m	46 (24.5)	24 (23.1)	22 (26.2)	16 (45.7)
Circumstances of falls, n (%)
Dizziness	65 (34.6)	33 (31.7)	32 (38.1)	16 (45.7)
Loss of balance	45 (23.9)	25 (24.0)	20 (23.8)	10 (28.6)
Slippery surface	62 (33.0)	38 (36.5)	24 (28.6)	9 (25.7)
Tripping	41 (21.8)	21 (20.2)	20 (23.8)	7 (20.0)
Riding a bike/motorbike	17 (9.0)	12 (11.5)	5 (6.0)	4 (11.4)
Any health issues after falls, n (%)	126 (67.0)	76 (73.1)	50 (59.5)	20 (57.1)
Bruise/grazes	101 (53.7)	62 (59.6)	39 (46.4)	17 (48.6)
Fracture	24 (12.8)	14 (13.5)	10 (11.9)	2 (5.7)
Immobility	18 (9.6)	13 (12.5)	5 (6.0)	2 (5.7)
Hospital admission	28 (14.9)	16 (15.4)	12 (14.3)	5 (14.3)

Factors Associated with Falls

Logistic regression analyses were performed to identify the potential factors associated with falls in the study population (Table 5) and post-COVID-19 falls in the COVID-19 infected patients (Table 6). In the adjusted model, four factors that increased the odds of falls were being underweight, limitations in instrumental ADLs, poor sleep quality, and fear of falling. Among COVID-19 infected patients, besides fear of falling, the other post-COVID-19 condition associated with post-COVID-19 falls was lower limb weakness.

Table 5

Factors Associated with Falls (n = 814)

Variables	Univariate		Multivariate
	OR (95% CI)	P value	Adjusted OR (95% CI)	P value
Age ≥ 75 years	2.16 (1.54–3.02)	< 0.001
Women	2.18 (1.49–3.18)	< 0.001
Keep working after retirement	1.08 (0.63–1.86)	0.781
Living alone	1.11 (0.78–1.59)	0.565
BMI group
Normal	Reference		Reference
Underweight	3.56 (2.14–5.92)	< 0.001	2.50 (1.37–4.56)	0.003
Overweight	1.16 (0.75–1.80)	0.503	1.33 (0.80–2.19)	0.273
Obese	1.21 (0.77–1.88)	0.410	1.31 (0.78–2.21)	0.314
Alcohol consumption	1.28 (0.63–2.61)	0.499
Psychotropic drugs	1.79 (1.12–2.87)	0.016
Polypharmacy	1.68 (1.17–2.41)	0.005
Multimorbidity	1.78 (1.13–2.80)	0.013
Decreased outdoor recreation	1.69 (1.22–2.35)	0.002
Limitations in ADLs	5.91 (3.19–10.96)	< 0.001
Limitations in instrumental ADLs	3.85 (2.72–5.44)	< 0.001	2.03 (1.05–3.95)	0.036
Depression	2.66 (1.75–4.03)	< 0.001
Frailty	3.35 (2.37–4.74)	< 0.001
Poor sleep quality	3.67 (2.35–5.72)	< 0.001	1.83 (1.10–3.05)	0.020
Fear of falling	5.91 (4.07–8.58)	< 0.001	3.45 (2.23–5.33)	< 0.001
Hypertension	1.97 (1.13–3.44)	0.017
Coronary artery disease	1.25 (0.89–1.76)	0.194
Heart failure	1.03 (0.47–2.31)	0.951
Stroke	2.21 (1.17–4.14)	0.014
Diabetes mellitus	0.83 (0.56–1.23)	0.349
Osteoarthritis	1.65 (1.19–2.30)	0.003
Chronic pulmonary diseases	1.04 (0.48–2.23)	0.930
Chronic venous insufficiency	1.24 (0.80–1.93)	0.344
Chronic kidney disease	1.12 (0.76–1.66)	0.568

Notes: Variables that had a P value <0.2 in the univariate regression were included in the multiple regression. Only variables that had a P value <0.05 in the multiple regression are shown.

Abbreviations: ADLs, activities of daily living; BMI, body mass index; CI, confidence interval; OR, odds ratio.

Table 6

Factors Associated with Post-COVID-19 Falls (n = 357)

Variables	Univariate		Multivariate
	OR (95% CI)	P value	Adjusted OR (95% CI)	P value
Age ≥ 75 years	2.64 (1.27–5.46)	0.009
Women	1.14 (0.51–2.52)	0.750
Keep working after retirement	1.59 (0.62–4.09)	0.333
Living alone	1.30 (0.63–2.68)	0.473
BMI group
Normal	Reference
Underweight	3.78 (1.36–10.45)	0.011
Overweight	1.38 (0.52–3.65)	0.516
Obese	2.21 (0.89–5.52)	0.089
Alcohol consumption	2.11 (0.44–10.17)	0.353
Psychotropic drugs	0.95 (2.73–3.28)	0.932
Polypharmacy	1.43 (0.71–2.88)	0.315
Multimorbidity	2.25 (0.95–5.32)	0.064
Limitations in ADLs	2.65 (0.71–9.96)	0.150
Limitations in instrumental ADLs	2.96 (1.44–6.11)	0.003
Depression	3.22 (1.52–6.80)	0.002
Frailty	3.49 (1.68–7.22)	0.001
Poor sleep quality	4.67 (1.40–15.60)	0.012
Fear of falling	5.98 (2.54–14.1)	< 0.001	3.14 (1.18–8.40)	0.023
Hypertension	3.41 (1.02–11.44)	0.047
Coronary artery disease	1.21 (0.54–2.68)	0.653
Heart failure	0.35 (0.05–2.65)	0.310
Stroke	2.66 (0.93–7.63)	0.069
Diabetes mellitus	1.25 (0.58–2.72)	0.571
Osteoarthritis	1.30 (0.62–2.73)	0.481
Chronic pulmonary diseases	0.53 (0.07–4.09)	0.541
Chronic venous insufficiency	0.55 (0.16–1.86)	0.336
Chronic kidney disease	0.79 (0.29–2.13)	0.644
COVID-19 related hospitalisation	3.50 (1.55–7.93)	0.003
Post-COVID-19 conditions
Fatigue	1.96 (0.89–4.31)	0.096
Attention disorder	2.38 (1.10–5.15)	0.028
Headache	1.54 (0.66–3.57)	0.317
Hair loss	1.18 (0.47–2.99)	0.726
Dyspnea	0.70 (0.26–1.87)	0.477
Lower limb weakness	3.81 (1.85–7.87)	< 0.001	2.55 (1.07–6.10)	0.035
Decreased physical activity	2.88 (1.42–5.84)	0.003

Notes: Variables that had a P-value <0.2 in the univariate regression were included in the multiple regression. Only variables that had a P-value <0.05 in the multiple regression are shown.

Abbreviations: ADLs, activities of daily living; BMI, body mass index; CI, confidence interval; OR, odds ratio.

Discussion

Older adults worldwide have been negatively affected during the global spread of COVID-19.5,6 While many COVID-19 related consequences have been studied, there is a lack of published studies showing the burden of falls among the older population during the pandemic. A previous study predicted that the COVID-19 pandemic may lead to an increase in fall events as a consequence of less physical activity in older adults during the pandemic.24 This hypothesis is consistent with the findings in the older population in developed countries where one-third of American older adults reported a decrease in the daily time spent on their feet after the start of the COVID-19 pandemic, with falls occurring more frequently in these individuals.12 In Vietnam, the third wave of the COVID-19 was the most serious outbreak, which started in January 2021 due to the alpha variant, followed by the fast-spreading fourth wave due to the delta variant from April 2021.2 shows the four waves of the COVID-19 pandemic in Vietnam. Our study found that 23.1% of older adults visiting geriatric clinics experienced falls in the community during the two severe COVID-19 outbreaks. Since the prevalence of falls among Vietnamese geriatric outpatients before the pandemic was 23.7%,16 our results suggest that there was no trend of increasing falls in this population during the pandemic.

We assume that at least two factors are related to the steady prevalence of falls in Vietnam. First, in our study, although the fallers had less outdoor recreation time than the non-fallers, this was not a significant factor associated with falls. This may be explained by the habits of older adults as reported in the Longitudinal Study of Ageing and Health in Vietnam, in which only one-third of older adults performed physical activities and most of the daily activities were indoors.25 For this reason, decreased outdoor recreation, such as walking outside or shopping may not influence the likelihood of falls in Vietnamese older adults, since they indulge in more indoor exercises, such as gardening or walking around their houses. However, further studies are needed to clarify the impact of the different types and levels of indoor physical activities on falls among older adults during the COVID-19 pandemic. Second, unlike families in developed countries, the majority of families in Vietnam have many generations living together and the older adults are cared for by their offspring and relatives. During social distancing, the younger members also stayed at home and likely gave more assistance and care to the older ones. In agreement with this notion, our study found that no older adults had falls in the gathering places of the house, such as the living room or kitchen.

Our study highlights the bedroom as a high-risk area for falls, while dizziness was the most commonly reported circumstance preceding falls in older adults during the COVID-19 pandemic. These findings are in contrast to those of a previous study performed in Vietnam before the pandemic that revealed that the bathroom was the most unsafe location carrying a risk of falls, due to circumstances such as a slippery surface.16 The differences may reflect the impact of the COVID-19 pandemic on both extrinsic and intrinsic factors related to falls in older adults. While staying at home during social distancing may have given the family members more time for home-modification interventions that make the house safer, the pandemic was a barrier to physical activity in older adults for maintaining their well-being.12 This may explain the notable rate of falls related to physical conditions, such as dizziness and loss of balance, among older adults in our study. Furthermore, while the older adults may receive more care from family members in the gathering places, they may have less support in their bedroom, leading to more than half of the participants in our study experiencing falls in this location. Importantly, among the falls that occurred in the bedroom, the most frequent time of occurrence was waking-up time in the morning and the most frequent circumstances associated with falls were dizziness and loss of balance (). Taken together, our findings suggest that the COVID-19 pandemic may not have increased the prevalence of falls but may have changed the patterns of falls in the older population. Suitable strategies for fall prevention may be required specifically in the bedroom and in the morning as they are the most frequent place and time of falls, respectively, in addition to balance training referral for older adults during COVID-19 related social distancing.

Several personal and environmental factors associated with falls in older adults have been identified.16,26,27 Some of these factors can be controlled, which may reduce the risk of having a fall.28–30 Our study identified being underweight, limitations in instrumental ADLs, poor sleep quality, and fear of falling as factors associated with falls in older adults during the COVID-19 pandemic. The evidence on the relationship between the BMI categories and risk of falls is conflicting in the published literature, which may be related to the different cutpoints of BMI.31–33 In our study, consistent with two previous studies, underweight was defined as BMI <18.5 kg/m2,32,33 and it was shown that older adults experiencing falls were more likely to be underweight than older individuals without falls. The mechanism of a lower BMI preceding falls is not fully understood but is likely to be related to sarcopenia in older adults with decreased BMI.34 Besides BMI, we found limitations in instrumental ADLs as an important geriatric factor associated with falls. It may be explained by the fact that a functional decline can negatively impact skeletal muscle integrity resulting in an increased risk of falls.35 Previous studies have yielded consistent results with regard to a link between inadequate sleep and greater risk of falling in older adults.36,37 Poor sleep quality can lead to impaired daytime functioning, poor cognitive performance, and balance disorders, thereby resulting in falls in older adults.38,39 Although fear of falling was considered as a predictor of falling,40 the cause-consequence relationship between them is likely bidirectional because fall events can also lead to fear of falling.41 In clinical practice, geriatricians who attend to older adults with fear of falling should evaluate them for falls and vice versa.

To our knowledge, this is the first study to demonstrate that post-COVID-19 falls were associated with post-COVID-19 lower limb weakness. A decrease in muscle strength was reported as an initial and common symptom in COVID-19 infected individuals.42 Although the mechanism of muscular involvement in COVID-19 remains unclear, it might be indirectly related to the adverse effects of the inflammatory process induced by COVID-19 in the musculoskeletal tissue.43 Since a previous meta-analysis has demonstrated that decreased lower-limb muscle strength is a factor associated with an increased risk of falls in older adults,44 post-COVID-19 lower limb weakness should be assessed and managed in COVID-19 infected older adults.

Our study has several limitations. First, there was a lack of information on the symptoms in the acute phase of the COVID-19 illness, as well as symptom severity and COVID-19 vaccination status. Second, we only assessed some post-COVID-19 conditions; thus, the impact of other symptoms on falls could not be identified. Third, since lower limb weakness was self-reported and no assessment was completed with a dynamometer, the cut-off values of muscle strength related to falls could not be determined. Fourth, due to cultural issues, the results of our study may not reflect the total burden of falls in other countries. Finally, due to the cross-sectional nature of the study design, we could not evaluate the causal relationship between falls and the associated factors.

Conclusions

This is the first study to determine the prevalence of falls among older adults during the COVID-19 pandemic in Vietnam. We found no trend of increasing falls in this population, but the pattern of falls may have changed during the pandemic. In COVID-19 infected older individuals, post-COVID-19 lower limb weakness was associated with falls and should be a consideration for screening.