Abstract
Background
This study described the differences between elderly men and women living in Lebanese long-term care nursing homes on socio-economic, health and nutritional status.
Methods
This study used a cross-sectional design. Field researchers obtained data from 221 residents; 148 (67%) women and 73 (33%) men, living in 36 nursing homes. Data on health conditions; nutritional, psychological, and functional status; socio-demographic characteristics, as well as social relations were collected. The analysis used both chi-square and t-test tests.
Results
The majority of elderly had low socio-economic and poor health status. In comparison to men, women were significantly less educated, had lower occupational status, had no partner, relied financially on their children and relatives, and enjoyed better social relations and health behaviours. Furthermore, the prevalence of both; malnutrition, and at risk of malnutrition, were at 3.2% and 27.6% respectively. There was no statistically significant difference between women and men on Mini Nutritional Assessment, Activities of Daily Living, Geriatric Depression Scale, Body Mass Index, and chronic diseases. While women reported “good” health status compared to men, they continued to have higher prevalence of diseases and chronic pain.
Conclusions
This study explored the socio-demographic, health, and nutritional status of elderly residing in Lebanese nursing homes and compared these characteristics across gender. The results indicated the need of health support and institutional interventions for elderly women residents.
Keywords: Gender differences, Nutritional status, Mini-Nutritional Assessment, Long-term care, Elderly, Aging, Nursing homes, Lebanon
Background
Worldwide, the old population has been growing rapidly [1]. There has been a strong positive relation between age and cognitive functioning, age and functional impairment, and age and malnutrition [2]. Studies have suggested that older age individuals tended to suffer from a large number of psychological, functional and health related diseases because of environmental living conditions [2].
Differences between elderly men and women have been reported in the literature. Women lived longer than men. They were more likely to suffer from malnutrition [3,4] and to acquire fatal illnesses such as arthritis, chronic back pain, asthma and anemia rendering them more dependent in their daily lives [5]. In Lebanon and the Middle East, women were more likely to have lower socioeconomic status and to be either widowed or single and malnourished [6-11] than men. Differences between institutionalized and non-institutionalized elderly have also been reported. The findings generally showed that all elderly living in institutions [3,12,13], and women in particular [4], tended to suffer from high prevalence of malnutrition.
Lebanon, a small middle-income country in the Middle East region, experienced a rapid increase in the elderly population aged 65 years and above from 7.4% in 2004 [14] to 9.6% in 2010 [15]. In parallel, the number of long-term care nursing homes (NHs) and their elderly population increased from 33 NHs with 2,660 elderly in 2005 [16] to 46 NHs with 3,299 elderly in 2008 [17]. Currently, there are 49 NHs with approximately 4,000 elderly [18] distributed across the country and concentrated largely in urban areas. Nasser and Doumit [19] identified three types of NHs in Lebanon: 1) those NHs that received independent elders, 2) those that received dependent or sick elders and 3) those that received all types of elders.
In reviewing the literature on elderly in Lebanon, few studies did focus on elderly residing in NHs [19-25] and none whatsoever did examine at the national level the socio-demographic and health characteristics across gender. This study came to fill the gap in the Lebanese elderly literature. It compared elderly men and women residing in NHs on demographic, socio-economic, functional, psychological and nutritional status.
Methods
Study design and setting
This study used a questionnaire targeting all elderly people living in Lebanese NHs. It was conducted in 2007–2009. All administrators of 36 NHs showed their willingness to participate and signed an informed consent. At that time, an ethics committee did not exist at both the institutional and national levels. Instead, we turned to the Ethics Review Committee of the World Health Organization, got their approval for the research methodology and to carry out the study. We also sought the approval of Public Health and Social Affairs Ministries as well as the National Association of Elderly Affairs. When we commenced the data collection, field researchers entered NHs, described the project to each elderly resident and expressed not only their need for information but also their respect for confidentiality and information privacy. Our researchers were clear about the voluntary aspect of the study and requested verbal approval from each elderly before they started interviewing. The exclusion of elderly from the study began with the screening of medical dossiers.
Sample and exclusion criteria
Five exclusion criteria resulted in the inclusion of those elderly who were able to interact with interviewers. These criteria were: 1) having been in NHs for less than three months; 2) being under 60 years of age; 3) suffering from a terminal disease; 4) being blind and/or deaf; 5) clinically demented or of very poor heath and refusing to participate in this study and 6) exhibiting cognitive functioning measured by a score of less than 20 for the Adapted Mini Mental State Examination (AMMSE) [21]. Figure 1 presented the selection sample- flow chart. As a result, the study was left with only 354 out of the original 2,094 elderly living in the 36 NHs. In total 221 elderly had valid responses (without missing information) with the number of women n = 148 (67%) twice of men n = 73 (33%).
Figure 1.
Sample selection flow chart.
Assessment tools
The following instruments, described by Doumit and Nasser [21], were used in this study:
1) The AMMSE, an Arabic adapted version of the Mini Mental State Examination (MMSE) [21], was used to evaluate cognitive functioning. It made the questions simple and easy to follow among illiterate elderly. Changes were made to those items that demanded writing, reading and arithmetical knowledge. All respondents who scored less than 20 on the AMMSE were excluded from the study.
2) The Geriatric Depression Rating Scale (GDS) Arabic version [26] provided measures of depressive symptoms among elderly [27]. A score between 11 and 15 indicated severe depression, while between 6 and 10, mild to moderate depression and equal and less than 5 (GDS ≤ 5), a normal person with no depression.
3) The Activities of Daily Living (ADL) Arabic version [28] provided information about individual ability to perform basic functioning tasks [29]. The components of this index were highly ordered which allowed for the loss of independence to occur gradually in the order of bathing, dressing, going to the toilet, movement, continence, eating and drinking. The response format for each of the components was 0, half and 1. A score of 0 on each component meant dependence; a half indicated that the elderly were partially independent while 1 meant independence. The ADL score was from 0–6 with the cut-off points: ≤2 for severe physical disability, 2.5 to 5.5 for moderate disability and 6 for complete independence.
4) The Mini Nutritional Assessment (MNA) assessed the nutritional status among elderly [30,31]. The Full form of the MNA was administered in two steps: screening and then assessment. The first screening step used the MNA-short form (MNA-SF) which provided a 6-item checklist dealing with appetite, weight loss, mobility, current illness, neuropsychological problems and body mass index (BMI). The MNA-SF maximum score was 14. If the screening score on the MNA-SF was12 points or greater, the elderly was classified as well-nourished and there was no need to complete the assessment. Otherwise, with 11 points or lower, the person was required to complete the assessment part of the Full MNA. The Full MNA maximum score was 30. Elderly receiving < 17 points score indicated that the respondent was malnourished, between 17 and 23.5 indicated that the respondent was at risk of malnutrition and more than 24 (≥24) indicated that the elderly was well-nourished.
Interview and medical dossier
Participants were also interviewed to solicit information on demographics, socio-economic levels, oral health status and smoking behaviors. The educational level was classified as follows: 1) low; included those either illiterates or had not completed elementary school, 2) intermediate; included those who had not terminated secondary school and 3) high; included those having a university degree.
Two main measures of socio-economic status were considered for the study: employment of elderly and occupational status. Elderly answered whether they were employed or not and for occupational status; rated whether they classified themselves as: 1 = “low income job, farmer, owner a small shop, or vocational job”; 2 = “middle income job, owner middle size farm or middle level businessman” and 3 = “high income job, a white-collar job or owner of a large business and tradesman.” “Yes” and “No” questions provided information on whether the elderly was either a smoker or non-smoker and had or had not an oral health problems.
Data on prescribed medication and nutritional supplements intake was obtained from the elderly resident dossier. Self-rated health (SRH) was assessed by asking the elderly resident to rate their overall health on a 4-point scale as excellent, very good, good and poor. Those reporting excellent, very good and good health were considered as having “good” self-rated health. In addition, to measure social relation, each elderly was asked these questions: 1) “Do you visit your family members, relatives, friends and colleagues?” and 2) “Do they visit you at your place? In this study, a social relation was considered positive when the elderly replied positively to either one of these two questions.
Anthropometric measurements
Weight was measured by an electronic digital scale from Eagle Company - China (model #ELP 300 L) with light clothing and no shoes to the nearest 0.1 kg. Height (H) was also measured in standing position without shoes using a wall mounted height meter from Ruimax Company - China. Feet were put together with heels, buttocks, shoulder and back of the head touching the wall and the head was held in Frankfurt plane position. The measurement precision was to the nearest 0.1 cm. For those elders who were not able to stand, height was calculated using the demispan formula provided by Nestlé Nutrition Institute (for women: H(cm) = (1.35 × demispan (cm)) + 60.1; for men: H(cm) = (1.4 × demispan (cm)) + 57.8) [32]. The Body Mass Index (BMI) of each elder was calculated by the (BMI = weight (kg) divided by the height (m2)). The World Health Organization classified adults as obese (BMI > 30), overweight (BMI = 25–29.99) and normal (BMI = 18.50-24.99) [33]. In this study, elderly were considered undernourished or underweight for BMI < 21 along with the French National Authority for Health classification [34]. Mid-arm circumference (MAC) and calf circumference (CC) were measured twice using a flexible measure tape to the nearest 0.1 cm. MAC was measured at half distance between olecranon and acromion at the non-dominant arm and the mean value was recorded. The CC was measured at the widest point of the undressed calf and the largest value was recorded.
Statistical analysis
Statistical analyses were performed with SPSS (20.0). Nominal variables were presented as absolute numbers and percentages while continuous variables as means and standard deviations (SD). Chi-square tests were performed through a cross tabulation of categorical data and a t-test was used to compare means between genders.
Results
Socio-demographic characteristics
Table 1 presented the socio-demographic characteristics of the elderly residents crossed by gender. The study sample included 148 women (67%) and 73 men (33%). The age range of participants was between 75–84 years old with the mean age M = 78.4 (SD = 7.7) years. A high percentage of respondents were living in NHs for more than one year, illiterate or had a low educational level, financially dependent on their children or relatives and not employed. Moreover, they had no partner, no healthcare coverage, and a low status jobs. Note that n = 45 (20%) of women had been working as homemakers prior to their nursing home admission.
Table 1.
Socio-demographic representation of the elderly sample, distributed by gender
|
Variables
|
Women (N = 148)
|
Men (N = 73)
|
Total (N = 221)
|
Chi -square
|
P
|
|---|---|---|---|---|---|
| age, Mean (SD) | 78.7 (7.5) | 77.8 (8.1) | 78.4 (7.7) | 0.464 | |
|
Age Classification, n (%)
|
145 (66.5%)
|
73 (33.5%)
|
218
|
2.15
|
0.341
|
| Young – old (60-74Y) |
36 (24.8%) |
25 (34.2%) |
61 (28%) |
|
|
| Old - Old (75–84 Y) |
76 (52.4%) |
33 (45.2%) |
109 (50%) |
|
|
| Oldest - Old (≥85 Y) |
33 (22.8%) |
15 (20.5%) |
48 (22%) |
|
|
|
Length of stay in institution, n (%)
|
147 (67.1%)
|
72 (32.9%)
|
219
|
0.32
|
0.854
|
| <6 months |
11 (7.5%) |
5 (6.9%) |
16 (7.3%) |
|
|
| 6-12 months |
11 (7.5%) |
4 (5.6%) |
15 (6.8%) |
|
|
| >12 months |
125 (85%) |
63 (87.5%) |
188 (85.8%) |
|
|
|
Education level*, n (%)
|
147 (66.8%)
|
73 (33.2%)
|
220
|
14.58
|
<0.001
|
| Low |
97 (66.0%) |
41 (56.2%) |
138 (62.7%) |
|
|
| Intermediate |
46 (31.3%) |
19 (26%) |
65 (29.5%) |
|
|
| High |
4 (2.7%) |
13 (17.8%) |
17 (7.7%) |
|
|
|
Marital status, n (%)
|
148 (67.89%)
|
73 (32.11%)
|
221
|
12.34
|
0.006
|
| Single |
54 (36.5%) |
31 (42.5%) |
85 (38.5%) |
|
|
| Married |
8 (5.4%) |
11 (15.1%) |
19 (8.6%) |
|
|
| Widowed |
81 (54.7%) |
25 (34.2%) |
106 (48.0%) |
|
|
| Divorced |
5 (3.4%) |
6 (8.2%) |
11 (5.0%) |
|
|
|
Previous occupation status**, n (%)
|
104 (69.3%)
|
46 (30.7%)
|
150
|
34
|
<0.001
|
| Low |
53 (65.4%) |
15 (21.7%) |
68 (45.3%) |
|
|
| Intermediate |
21 (25.9%) |
24 (34.8%) |
45 (30.0%) |
|
|
| High |
7 (8.6%) |
30 (43.5%) |
37 (24.7%) |
|
|
|
Currently working in nursing homes, n (%)
|
148 (67.89%)
|
73 (32.11%)
|
221
|
2.45
|
0.118
|
| Yes |
26 (17.6%) |
7 (9.6%) |
33 (14.9%) |
|
|
| No |
122 (82.4%) |
66 (90.4%) |
188 (85.1%) |
|
|
|
Financial dependence, n (%)
|
72 (66.6%)
|
36 (33.4%)
|
108
|
10.18
|
0.001
|
| Yes |
59 (81.9%) |
19 (52.8%) |
78 (72.2%) |
|
|
| No |
13 (18.1%) |
17 (47.2%) |
30 (27.8%) |
|
|
|
Health insurance, n (%)
|
138 (67.6%)
|
66 (32.4%)
|
204
|
0.82
|
0.774
|
| Yes |
33 (23.9%) |
17 (25.8%) |
50 (24.5%) |
|
|
| No | 105 (76.1%) | 49 (74.2%) | 154 (75.5%) |
Legend: *The educational level was classified as follows: 1) low; included those either illiterates or had not completed elementary school, 2) intermediate; included those who had not terminated secondary school and 3) high; included those having university degree. **The occupational status was classified as follows: 1) low income job, farmer, owner a small shop, or vocational job, 2) middle income job, owner middle size farm or middle level businessman and 3) high income job, a white-collar job or owner of a large business and tradesman.
There were no significant differences between elderly men and women on; length of stay in the NHs, current work status, and healthcare coverage. In comparison to men, women were significantly more likely to be less educated, to have low occupational status and to depend financially on their children or others. However, men were more likely to be married than women.
Nutritional status and health characteristics
Table 2 presented the results of nutritional status and elderly health measures. According to the MNA, n = 153 (69.2%) elderly were well-nourished, n = 61 (27.6%) at risk of malnutrition and n = 7 (3.2%) malnourished. The mean BMI was M = 25.9 (SD = 5.4) and showed that n = 65 (31.1%) of elderly were of normal weight, n = 69 (33%) overweight, n = 42 (20.1%) obese and n = 33 (15.8%) underweight or malnourished. No significant differences were reported between men and women on either the MNA or BMI scores. However, obesity was more prevalent among women but short of reaching statistical significance.
Table 2.
Health and lifestyle characteristics of the elderly sample, distributed by gender
| Variables | Women (N = 148) | Men (N = 73) | Total (N = 221) | Chi -square | P |
|---|---|---|---|---|---|
|
MNA, n (%)
|
148 (67.89%) |
73 (32.11%) |
221 |
0.22 |
0.89 |
| Malnutrition (Full MNA < 17) |
5 (3.4%) |
2 (2.7%) |
7 (3.2%) |
|
|
| At risk of malnutrition (Full MNA:17–23) |
42 (28.4%) |
19 (26.0%) |
61 (27.6%) |
|
|
| Well-nourished (Full MNA ≥ 24 or MNA-SF ≥ 12) |
101 (68.2%) |
52 (71.2%) |
153 (69.2%) |
|
|
|
BMI, Mean (SD)
|
26.17 (5.72) |
25.29 (4.64) |
25.88 (5.39) |
|
0.266 |
|
BMI classification
, n (%) |
139 (66.5%) |
70 (33.5%) |
209 |
4.84 |
0.184 |
| Underweight (<21) |
23 (16.5%) |
10 (14.3%) |
33 (15.8%) |
|
|
| Normal weight (21–24.99) |
38 (27.3%) |
27 (38.6%) |
65 (31.1%) |
|
|
| Overweight (25–29.99) |
45 (32.4%) |
24 (34.3%) |
69 (33.0%) |
|
|
| Obese (≥30) |
33 (23.7%) |
9 (12.9%) |
42 (20.1%) |
|
|
|
Self rated health
, n (%) |
148 (67.3%) |
72 (32.7%) |
220 |
14.5 |
0.002 |
| Very good* |
99 (66.9%) |
55 (76.4%) |
154 (70.0%) |
|
|
| Good |
42 (28.4%) |
9 (12.5%) |
51 (23.2%) |
|
|
| Poor |
7 (4.7%) |
8 (11.1%) |
15 (6.8%) |
|
|
|
Daily Drug intake
, n (%) |
148 (67.89%) |
73 (32.11%) |
221 |
8.82 |
0.012 |
| No |
12 (8.1%) |
16 (21.9%) |
28 (12.7%) |
|
|
| ≤3 drugs/day |
39 (26.4%) |
19 (26.0%) |
58 (26.2%) |
|
|
| >3 drugs/day |
97 (65.5%) |
38 (52.1%) |
135 (61.1%) |
|
|
|
Insomnia
, n (%) |
144 (66.7%) |
72 (33.3%) |
216 |
1.28 |
0.258 |
| Yes |
101 (70.1%) |
45 (62.5%) |
146 (67.6%) |
|
|
| No |
43 (29.9%) |
27 (37.5%) |
70 (32.4%) |
|
|
|
Number of diseases
, n (%) |
148 (67.89%) |
73 (32.11%) |
221 |
4.39 |
0.111 |
| No |
23 (15.5%) |
20 (27.4%) |
43 (19.5%) |
|
|
| ≤3 |
109 (73.6%) |
46 (63.0%) |
155 (70.1%) |
|
|
| >3 |
16 (10.8%) |
7 (9.6%) |
23 (10.4%) |
|
|
|
Hospitalization during last year
, n (%) |
147 (66.82%) |
73 (33.18%) |
220 |
0.25 |
0.617 |
| Yes |
43 (29.3%) |
19 (26.0%) |
62 (28.2%) |
|
|
| No |
104 (70.7%) |
54 (74.0%) |
158 (71.8%) |
|
|
|
Nutritional supplements intake
, n (%) |
148 (67.89%) |
73 (32.11%) |
221 |
3.63 |
0.057 |
| Yes |
85 (57.4%) |
32 (43.8%) |
117 (52.9%) |
|
|
| No |
63 (42.6%) |
41 (56.2%) |
104 (47.1%) |
|
|
|
Physical activities
, n (%) |
148 (67.89%) |
73 (32.11%) |
221 |
11.4 |
0.003 |
| No |
88 (59.5%) |
29 (39.7%) |
117 (52.9%) |
|
|
| Occasionally |
42 (28.4%) |
23 (31.5%) |
65 (29.4%) |
|
|
| Regularly |
18(12.2%) |
21 (28.8%) |
39 (17.6%) |
|
|
|
Current smokers
, n (%) |
148 (67.89%) |
73 (32.11%) |
221 |
11.22 |
0.001 |
| Yes |
31 (20.9%) |
31 (42.5%) |
62 (28.1%) |
|
|
| No |
117 (79.1%) |
42 (57.5%) |
159 (71.9%) |
|
|
|
Chronic pain
, n (%) |
147 (66.82%) |
73 (33.18%) |
220 |
5.47 |
0.019 |
| Yes |
81 (55.1%) |
28 (38.4%) |
109 (49.5%) |
|
|
| No |
66 (44.9%) |
45 (61.6%) |
111 (50.5%) |
|
|
|
Oral health problems
, n (%) |
148 (67.89%) |
73 (32.11%) |
221 |
4.5 |
0.034 |
| Yes |
75 (50.7%) |
48 (65.8%) |
123 (55.7%) |
|
|
| No | 73 (49.3%) | 25 (34.2%) | 98 (44.3%) |
Legend: MNA: Mini Nutritional Assessment, BMI: Body mass index. *Elderly who reported excellent and very good health.
Elderly health (SRH), n = 205 (93.2%) was self-rated as “good”, while only n = 15 (6.8%) reported poor health with women being more likely to consider their overall health as “good” in comparison to men.
A high percentage of elderly had chronic diseases, insomnia, chronic pain and oral health problems, were on prescribed medication and nutritional supplements, exhibited nonsmoking behavior and were not physically active.
Furthermore, there were no significant differences between men and women on insomnia, comorbid illnesses, hospitalization (during last year) and intake of nutritional supplements. However, men were significantly more likely to be physically active than women, to exhibit smoking behaviors and to have oral health problems. In addition, men were significantly less likely to take prescribed medication and to suffer from chronic pain. The most prevalent diseases among elderly were hypertension (46%) followed by cardiovascular diseases (26%), diabetes (18%), mental problems (11%), ocular diseases (11%) and hypercholesterolemia (10%) (Data not shown).In addition, all diseases were more prevalent among women than men however, results were not statistically significant (see Figure 2).
Figure 2.
Prevalence (%) of comorbidities distributed by gender among nursing home residents in Lebanon. Legend: CVD: Cardiovascular diseases.
Functional ability, psychological status and social relations
Table 3 showed that n = 78 (35.3%) of elderly were able to perform the basic activities of daily living. In comparison to women, men reported a higher level of functional ability on all the ADL components except for continence. There were significant differences for bathing and dressing between men and women.
Table 3.
Functional ability, psychological status and social relations of the elderly sample, distributed by gender
| Variables | Women (N = 148) | Men (N = 73) | Total (N = 221) | Chi -square | P |
|---|---|---|---|---|---|
|
ADL
, n (%) |
148 (67.89%) |
73 (32.11%) |
221 |
3.78 |
0.151 |
| Totally independent (=6) |
50 (33.8%) |
28 (38.4%) |
78 (35.3%) |
|
|
| Moderate disability (2.5-5.5) |
74 (50.0%) |
40 (54.8%) |
114 (51.6%) |
|
|
| Severe disability (≤2) |
24 (16.2%) |
5 (6.8%) |
29 (13.1%) |
|
|
|
Continence
, n (%) |
145 (66.8%) |
72 (33.2%) |
217 |
4.92 |
0.086 |
| Continent |
113 (77.9%) |
53 (73.6%) |
166 (76.5%) |
|
|
| Partially incontinent |
16 (11%) |
15 (20.8%) |
31 (14.3%) |
|
|
| Totally incontinent |
16 (11%) |
4 (5.6%) |
20 (9.2%) |
|
|
|
Mobility
, n (%) |
148 (67.89%) |
73 (32.11%) |
221 |
4.13 |
0.127 |
| Mobile |
103 (69.6%) |
59 (80.8%) |
162 (73.3%) |
|
|
| Partially mobile |
32 (21.6%) |
12 (16.4%) |
44 (19.9%) |
|
|
| Immobile |
13 (8.8%) |
2 (2.7%) |
15 (6.8%) |
|
|
|
Feed oneself
, n (%) |
148 (67.89%) |
73(32.11%) |
221 |
2.05 |
0.359 |
| Able |
103 (69.6%) |
59 (80.8%) |
206 (93.2%) |
|
|
| Partially |
32 (21.6%) |
12 (16.4%) |
11 (5.0%) |
|
|
| Unable |
13 (8.8%) |
2 (2.7%) |
4 (1.8%) |
|
|
|
Use the toilet
, n (%) |
148 (67.3%) |
72 (32.7%) |
220 |
3.79 |
0.15 |
| Able |
101 (68.2%) |
56 (77.8%) |
157 (71.4%) |
|
|
| Partially |
20 (13.5%) |
10 (13.9%) |
30 (13.6%) |
|
|
| Unable |
27 (18.2%) |
6 (8.3%) |
33 (15.0%) |
|
|
|
Dressing
, n (%) |
148 (67.89%) |
73 (32.11%) |
221 |
8.47 |
0.014 |
| Able |
85 (57.4%) |
50 (68.5%) |
135 (61.1%) |
|
|
| Partially |
19 (12.8%) |
14 (19.2%) |
33 (14.9%) |
|
|
| Unable |
44 (29.7%) |
9 (12.3%) |
53 (24.0%) |
|
|
|
Bathing
, n (%) |
148 (67.89%) |
73 (32.11%) |
221 |
6.18 |
0.045 |
| Able |
58 (39.9%) |
34 (46.6%) |
93 (42.1%) |
|
|
| Partially |
37 (25.0%) |
25 (34.2%) |
62 (28.1%) |
|
|
| Unable |
52 (35.1%) |
14 (19.2%) |
66 (29.9%) |
|
|
|
GDS
, n (%) |
148 (67.89%) |
73 (32.11%) |
221 |
0.09 |
0.957 |
| Normal/no depression (≤5) |
59 (39.9%) |
29 (39.7%) |
88 (39.8%) |
|
|
| Mild/ moderate depression (6–10) |
73 (49.3%) |
37 (50.7%) |
110 (49.8%) |
|
|
| Severe depression (≥11) |
16 (10.8%) |
7 (9.6%) |
23 (10.4%) |
|
|
|
Being visited
, n (%) |
148 (67.89%) |
73 (32.11%) |
221 |
5.6 |
0.018 |
| Yes |
130 (87.8%) |
55 (75.3%) |
185 (83.7%) |
|
|
| No |
18 (12.2%) |
18 (24.7%) |
36 (16.3%) |
|
|
|
Visiting family & friends
, n (%) |
148 (67.89%) |
73 (32.11%) |
221 |
0.2 |
0.656 |
| Yes |
49 (33.1%) |
22 (30.1%) |
71 (32.1%) |
|
|
| No |
99 (66.9%) |
51 (69.9%) |
150 (67.9%) |
|
|
|
Social relations
, n (%) |
148 (67.89%) |
73 (32.11%) |
221 |
2.92 |
0.08 |
| Yes |
132 (89.2%) |
59 (80.8%) |
191 (86.4%) |
|
|
| No | 16 (10.8%) | 14 (19.2%) | 30 (13.6%) |
Legend: ADL: Activities of Daily Living, GDS: Geriatric Depression Scale.
According to the 15 item GDS score, 60.2% of the sample showed depressive symptoms. There were no significant differences among men and women on GDS scores and on social relations. However, significant differences were shown on social relation with women more likely to receive visitors in NHs than men.
Discussion
This study described the socio-economic, health and nutritional status of elderly people residing in Lebanese NHs and compared these characteristics across gender. The findings generally showed that all elderly in general and women in particular suffered from low socio-economic status and poor health conditions.
Nutritional status
Based on the MNA scores, 3.2% of elderly were malnourished while 27.6% were at risk of malnutrition (see for instance [21]). These results were within or lower than the ranges reported in international studies [12]. The results from 32 multinational studies including 6,821 institutionalized elders indicated that the prevalence of malnutrition and its risk were 5-71% and 27-70% respectively [12], while a recent study conducted among 895 Spanish elders residing in 34 NHs found the prevalence of malnutrition and its risk were 2.8% and 37.3% respectively [35].
In comparison to community-dwelling elderly, several studies reported a high prevalence of malnutrition among elderly residing in NHs [3,12,13]. In Lebanon, the prevalence of both malnutrition and at risk of malnutrition among rural free elders living in their natural homes was 8% and 29.1% respectively [7]. Moreover, in 21 studies carried in several countries among 14,149 participating free elders, the prevalence of both malnutrition and at risk of malnutrition were 2% and 24% respectively [12].
The reason for the relatively high nutritional levels among elderly participating in this study in comparison to international levels was the exclusion of those elders who were severely ill, blind, deaf and/or demented. This latter sub-group was more susceptible to malnutrition and adverse health conditions.
In our study, the most important finding was the no-significant difference between men and women on nutritional level. Similar finding was reported by Tsai et al. when using MNA to assess the prevalence of malnutrition among institutionalized and non-institutionalized Taiwanese elderly with 2.4% for women and 1.7% for men [13]. However, other studies carried out in different settings reported gender differences [3,4,7]. In Lebanon, the prevalence of malnutrition among rural community-dwelling elderly was 9.1% for women and 6.9% for men [7]. In Italy, this prevalence among all elderly, institutionalized and non-institutionalized was 26% and 16.3% among women and men respectively [29]. Moreover, Vandewoude and Van Gossum, after assessing and comparing nutritional status between community dwelling and nursing home elderly, found that the prevalence of malnutrition was higher among women, nursing home elderly and old age groups [4].
According to the BMI score, 20% of participants were classified as obese and obesity frequency was two times higher among elderly women than men. In Lebanon, similar results were reported in a small sample of institutionalized elders [10] and the frequency of obesity was greater among free elderly women than men living in both rural and urban regions [7,36]. Furthermore, 16% of elderly participating in this study were classified as malnourished and might suffer from adverse health outcomes [37-39].
Socio-economic status
Regarding the socio-economic status, women were significantly less educated than men and more likely to have low occupational status, to be single or widowed and to rely on their children and relatives. These findings were corroborated by a number of studies in Lebanon and the Arab countries [6-9,11]. In the Arab world illiteracy among women was higher than men [11]. In Lebanon, it has become less of a problem. School enrollment rates showed an increase at both the elementary and secondary educational levels reaching in 2009 77.4% and 85.2% for men and women respectively [40]. Given this trend, the gender based educational gap could significantly diminish in the near future and thus trigger a dynamic process of drawing more women to the workforce and achieving more economic equality with men. Second, the low occupational level of women in comparison to men could be explained by their low educational level and weak participation in the labor force. Culturally, women In the Middle East region play the traditional role of homemaker; caring for her children while men whether a husband, son, or relative, play the provider role of securing financial and material support [11]. The homemaker position could explain the low physical activity among women and their financial dependence on children and relatives. Third, women debilitating economic factors were reflected in later life experience of widowhood.
Furthermore, the Lebanese lawmakers set the retirement age at 64. After retirement, most elders would lose part of their income and health benefits and become dependent financially and socially on their children and relatives. Research data have shown that limited social support was associated with poor health outcomes [41]. With the family close-knit social structure becoming tattered because of the immigration of young adults and the more participation of female in the labor force, elders are left with little or no social support and subsequently adverse health effects. The Lebanese Government policies neglected the new socio-demographic realities. New policies are needed to address this issue and that stress on bringing elderly back to partially work. With Elders reintegrated in the workforce or provided minimal work (related activities) they would experience less depression and other related diseases [42,43] and thus would improve their living conditions in NHs [19,21,44].
In addition, Lebanese elderly men were likely to exhibit smoking behaviors more than women [11] and to develop smoking related diseases leading to early mortality.
Health conditions
In our study, most elderly suffered from chronic non-communicable diseases, functional impairment and depressive symptoms with no significant difference between men and women but with higher prevalence of chronic diseases and functional impairment among women than men. Similar findings were reported in other studies conducted in Lebanon [6,7]. Women tended to get sicker than men as they lived longer with non-fatal illnesses [5]. Regarding depression, 60% of the elderly participating in this study, had some degree of depression with no differences between men and women. Similar results were reported by a pilot study that included 102 elders living in three different Lebanese NHs [20]. The high prevalence of depressive symptoms among institutionalized elders could be reduced by improving their nutritional status [45], their belief in a just world [23] and their quality of life [21].
Limitations
This research had two major limitations. The first limitation was related to the small number of elderly who agreed to participate, had the cognitive functioning, and functional ability to interact with researchers. The second limitation was related to instrument validity. The MNA instrument used had not been validated among the Lebanese population and thus caution must be approached when generalizing about the nutritional outcomes resulting from this study. We recommend for future work a replication of this study using a larger sample of elderly from Lebanon and the Middle East.
Strengths
This study is quite original on three different accounts. It is the first study performed nationwide covering the largest number of NH institutions in various locations, stewardships, and with diverse elderly residents’ backgrounds. Second, it is the first study that assessed all these factors: demographic, socio-economic, functional, psychological and nutritional status, among elderly residing in Lebanese NHs. Lastly, it is the first study in Lebanon that compared all these characteristics across gender.
Recommendations
Currently, both Ministries of Social Affairs and Public Health are focusing on acute care and fatal illnesses [46]. Their programs and policies do not cover elderly healthcare provisions or those suffering from chronic illnesses. Working on the belief that better health is associated with better socioeconomic status, this study appeals for new policies that support elderly with overall subsidized government healthcare. It also appeals to policies pertaining to elderly paid work plans and the institutionalization of new healthcare policies and standards. Currently, there are no valid operational standards to evaluate NHs in Lebanon. The setting of standards and policies for NHs may contribute to the wellbeing and wellness of institutionalized elderly. For instance, screening elderly for cognitive function, depression, malnutrition and autonomy on admission to the NHs and early intervention may prevent health deterioration and facilitate successful aging. Finally, it is high time to address the issue of gender discrepancy as societies with large gender disparity will likely affect the health of both men and women [47].
Conclusion
The results in the present study were unique in highlighting differences between gender on nutritional, functional and psychological status among elderly residing in Lebanese NHs. The findings showed that most elderly had poor socioeconomic and health status with women being the most disadvantaged. This study raised issues of elderly care in Lebanon. It encouraged health providers and government agencies to improve elderly quality of life. It called for a nationwide awareness campaign to promote health among all elderly residing in NHs with more attention giving to women wellbeing.
Competing interests
The authors declare that they have no competing interests.
Authors’ contributions
JD conceptualized the study presented in this paper; administered the questionnaires; collected, analyzed, interpreted the data and wrote the paper. RN has planned, operationally ran and wrote part of the study. DH co-wrote the paper. All authors have read and approved the final manuscript.
Pre-publication history
The pre-publication history for this paper can be accessed here:
Contributor Information
Jacqueline H Doumit, Email: jdoumit@ndu.edu.lb.
Ramzi N Nasser, Email: ramzin@qu.edu.qa.
Dimitri R Hanna, Email: dimitri.hanna@gmail.com.
Acknowledgements
This study was partially funded by a grant from the World Health Organization (EM/07/05649).
I would like to thank Mrs. Rita Khayat for her assistance in data analysis.
References
- United Nations Department of Economic and Social Affairs. Population ageing and development 2012. http://www.un.org/esa/population/publications/2012PopAgeingDev_Chart/2012PopAgeingandDev_WallChart.pdf.
- Rodriguez-Tadeo A, Wall-Medrano A, Gaytan-Vidaña ME, Campos A, Ornelas-Contreras M, Novelo-Huerta HI. Malnutrition risk factors among the elderly from the US-Mexico border: the “one thousand” study. J Nutr Health Aging. 2012;16(5):426–31. doi: 10.1007/s12603-011-0349-1. [DOI] [PubMed] [Google Scholar]
- Donini LM, Scardella P, Piombo L, Neri B, Asprino R, Proietti AR, Carcaterra S, Cava E, Cataldi S, Cucinotta D, Di Bella G, Barbagallo M, Morrone A. Malnutrition in elderly: Social and economic determinants. J Nutr Health Aging. 2013;17(1):9–15. doi: 10.1007/s12603-012-0374-8. [DOI] [PubMed] [Google Scholar]
- Vandewoude M, VanGossum A. Nutritional screening strategy in nonagenarians: the value of the MNA-SF (mini nutritional assessment short form) in NutriAction. J Nutr Health Aging. 2013;17(4):310–4. doi: 10.1007/s12603-013-0033-8. [DOI] [PubMed] [Google Scholar]
- World Health Organization. Gender, health and ageing. http://www.who.int/gender/documents/fact/en/index.html.
- Al Hazzouri AZ, Sibai AM, Chaaya M, Mahfoud Z, Yount KM. Gender differences in physical disability among older adults in underprivileged communities in Lebanon. J Aging Health. 2011;23(2):367–382. doi: 10.1177/0898264310385454. [DOI] [PubMed] [Google Scholar]
- Boulos C, Salameh P, Barberger-Gateau P. The AMEL Study, a cross sectional population-based survey on aging and malnutrition in 1200 elderly Lebanese living in rural settings: protocol and sample characteristics. BMC Public Health. 2013;13:573. doi: 10.1186/1471-2458-13-573. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chemaitelly H, Kanaan C, Beydoun H, Chaaya M, Kanaan M, Sibai AM. The role of gender in the association of social capital, social support, and economic security with self-rated health among older adults in deprived communities in Beirut. Qual Life Res. 2012;22(6):1371–9. doi: 10.1007/s11136-012-0273-9. [DOI] [PubMed] [Google Scholar]
- Central Administration of Statistics; United Nations Development Program; Ministry of Social Affairs; and International Labour Organization. The national survey of household living conditions. Lebanon; 2007. http://www.undp.org.lb/communication/publications/downloads/households_living_conditions_2007.pdf. [Google Scholar]
- Sibai A, Zard C, Adra N, Baydoun M, Hwalla N. Variations in nutritional status of elderly men and women according to place of residence. Gerontology. 2003;49(4):215–224. doi: 10.1159/000070401. [DOI] [PubMed] [Google Scholar]
- Yount KM, Sibai AM. In: International Handbook of Population Aging. Volume 1. Uhlenberg P, editor. Dordrecht: Springer Netherlands; 2009. Demography of aging in the Arab countries; pp. 277–315. [Google Scholar]
- Guigoz Y. The mini nutritional assessment (MNA®) Review of the literature – What does tell us? J Nutr Health Aging. 2006;10(6):466–487. [PubMed] [Google Scholar]
- Tsai AC, Ho CS, Chang MC. Assessing the prevalence of malnutrition with the Mini Nutritional Assessment (MNA) in a nationally representative sample of elderly Taiwanese. J Nutr Health Aging. 2008;12(4):239–43. doi: 10.1007/BF02982628. [DOI] [PubMed] [Google Scholar]
- Ministry of Public Health, Republic of Lebanon. Statistical bulletin 2008. http://www.moph.gov.lb/Publications/Documents/Bulletin2008/SummaryTables.pdf.
- Ministry of Public Health, Republic of Lebanon. Statistical bulletin2010. http://www.moph.gov.lb/StatBulletin2010/Links/Wizara%20Booklet2010.pdf.
- Bou Harb R. In: Chroniques Sociales. Publications de l’Ecole libanaise de formation sociale- USJ, editor. Beirut: l’Université Saint–Joseph; 2005. Institutions d’hébergement pour personnes agées au Liban: Services et activités. Vol VII, No 21. [Google Scholar]
- Doumit J, Nasser R, Bitar C. Reality and challenges of the elderly nursing homes in Lebanon. Human and Health. 2010;10:7–9. (in Arabic) [Google Scholar]
- Naja N. Long-term stay institutions in Lebanon. J Med Liban. 2012;60(4):252–6. [PubMed] [Google Scholar]
- Nasser R, Doumit J. Developing criteria for elderly nursing homes: the case of Lebanon. Int J Health Care Qual Assur. 2011;24(3):211–222. doi: 10.1108/09526861111116651. [DOI] [PubMed] [Google Scholar]
- Chahine LM, Bijlsma A, Hospers AP, Chemali Z. Dementia and depression among nursing home residents in Lebanon: a pilot study. Int J Geriatr Psychiatry. 2007;22(4):283–285. doi: 10.1002/gps.1663. [DOI] [PubMed] [Google Scholar]
- Doumit J, Nasser R. Quality of life and wellbeing of the elderly in Lebanese nursing homes. Int J Health Care Qual Assur. 2010;23(1):72–93. doi: 10.1108/09526861011010695. [DOI] [PubMed] [Google Scholar]
- El Zoghbi M, Boulos C, Al Hajje A, Saleh N, Awada S, Rachidi S, Bawab W, Salameh P. Associations between cognitive function and nutritional status in elderly: a cross-sectional study in three institutions of Beirut – Lebanon. Geriatric Mental Health Care. 2013;1(4):73–81. [Google Scholar]
- Nasser R, Doumit J, Carifio J. Well-being and belief in a just world among rest home residents. Social Behavior and Personality. 2011;39(5):655–670. [Google Scholar]
- Nasser R, Doumit J, Al-Attiya A, Fokhroo H. Effect of belief in a just world on daily living activities of nursing home residents. Social Behavior and Personality. 2013;41(9):1445–1456. [Google Scholar]
- Waked N, Saad A, Mehanna C, Sleilaty G, Kortbaoui R. Prevalence, causes, and risk factors for blindness and visual impairment among nursing home residents in Lebanon. [Prevalence, causes et facteurs de risque de la cécite et de la malvoyance chez les personnes agées des maisons de retraite Libanaises. J Fr Opthalmol. 2007;30(5):497–502. doi: 10.1016/s0181-5512(07)89630-6. [DOI] [PubMed] [Google Scholar]
- Chaaya M, Sibai AM, Roueiheb ZE, Chemaitelly H, Chahine LM, Al-Amin H, Mahfouz Z. Validation of the Arabic version of the short Geriatric Depression Scale (GDS-15) Int Psychogeriatr. 2008;20(3):571–581. doi: 10.1017/S1041610208006741. [DOI] [PubMed] [Google Scholar]
- Yesavage JA, Brink TL, Rose TL, Lum O, Huang V, Adey M, Leirer VO. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res. 1982;17(1):37–49. doi: 10.1016/0022-3956(82)90033-4. [DOI] [PubMed] [Google Scholar]
- Nasser R, Doumit J. Validity and reliability of the Arabic Version of Activities of Daily Living (ADL) BMC Geriatrics. 2009;9:11. doi: 10.1186/1471-2318-9-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Katz S, Down TD, Cash HR, Grotz RC. Progress in the development of the index of ADL. Gerontologist. 1970;10(1):20–30. doi: 10.1093/geront/10.1_part_1.20. [DOI] [PubMed] [Google Scholar]
- Guigoz Y, Vellas B, Garry PJ. Assessing the nutritional status of the elderly: the mini nutritional assessment as part of the geriatric evaluation. Nutr Rev. 1996;54(2):S59–65. doi: 10.1111/j.1753-4887.1996.tb03793.x. [DOI] [PubMed] [Google Scholar]
- Rubenstein LZ, Harke JO, Salvà A, Guigoz Y, Vellas B. Screening for undernutrition in geriatric practice: Developing the short-form mini-nutritional assessment (MNA-SF) J Gerontol A Biol Sci Med Sci. 2011;56(6):M366–372. doi: 10.1093/gerona/56.6.m366. [DOI] [PubMed] [Google Scholar]
- Nestlé Nutrition Institute. MNA guide English short form. http://www.mna-elderly.com/forms/mna_guide_english_sf.pdf.
- World Health Organization. Global Data base on Body Mass Index. http://apps.who.int/bmi/index.jsp?introPage=intro_3.html Accessed on April 5, 2014.
- French National Authority for Health (HAS) http://www.has-sante.fr/portail/upload/docs/application/pdf/malnutrition_elderly_guidelines.pdf Accessed on March 16, 2014.
- Serrano-Urrea R, Garcia-Mesequer MJ. Malnutrition in an elderly population without cognitive impairment living in nursing homes in Spain: study of prevalence using the Mini Nutritional Assessment test. Gerontology. 2013;59(6):490–8. doi: 10.1159/000351763. [DOI] [PubMed] [Google Scholar]
- Sibai AM, Hwalla N, Adra, Rahal B. Prevalence and covariates of obesity in Lebanon: Findings from the first epidemiological study. Obes Res. 2003;11(11):1353–1361. doi: 10.1038/oby.2003.183. [DOI] [PubMed] [Google Scholar]
- Abbasi A, Rudman D. Undernutrition in the nursing home: prevalence, consequences, causes and prevention. Nutr Rev. 1994;52(4):113–122. doi: 10.1111/j.1753-4887.1994.tb01403.x. [DOI] [PubMed] [Google Scholar]
- Chandra R. Impact of nutritional status and nutrient supplements on immune responses and incidence of infection in older individuals. Ageing Res Rev. 2004;3(1):91–104. doi: 10.1016/j.arr.2003.08.004. [DOI] [PubMed] [Google Scholar]
- Morley J. Is there is a need for a minimum data set for nutritional intervention studies on older persons? J Gerontol A Biol Sci Med Sci. 2004;59(7):722–723. doi: 10.1093/gerona/59.7.m722. [DOI] [PubMed] [Google Scholar]
- Mother and children status follow-up: Multiple Indicators Cluster Survey 2009, MICS3. http://www.cas.gov.lb/images/Mics3/CAS_MICS3_survey_2009.pdf.
- White AM, Philogene S, Fine L, Sinha S. Social support and self reported health status of older adults in the United States. Am J Public Health. 2009;99(10):1872–8. doi: 10.2105/AJPH.2008.146894. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chaaya M, Sibai AM, Tabbal N, Chemaitelly H, El Roueiheb Z, Slim ZN. Work and mental health: the case of older men living in underprivileged communities in Lebanon. Ageing Soc. 2010;31(1):25–40. [Google Scholar]
- Li Y, Xu L, Chi I, Guo P. Participation in productive activities and health outcomes among older adults in urban china. Gerontologist. in press. [DOI] [PubMed]
- Chemali Z, Chahine LM, Sibai AM. Older adult care in Lebanon: towards stronger and sustainable reforms. East Mediterr Health J. 2008;14(6):1466–1476. [PubMed] [Google Scholar]
- Li IC, Kuo HT, Lin YC. The mediating effects of depressive symptoms on nutritional status of older adults in long-term care facilities. J Nutr Health Aging. 2013;17(7):633–6. doi: 10.1007/s12603-013-0018-7. [DOI] [PubMed] [Google Scholar]
- Sibai AM, Sen K, Baydoun M, Saxena P. Population ageing in Lebanon: current status, future prospects and implications for policy. Bulletin of the World Health Organization. 2004;82(3):219–25. [PMC free article] [PubMed] [Google Scholar]
- Kawachi I, Kennedy BP, Gupta V, Prothrow-Stith D. Women’s status and the health of women and men: a view from the States. Sco Sci Med. 1999;48(1):21–32. doi: 10.1016/s0277-9536(98)00286-x. [DOI] [PubMed] [Google Scholar]