-
Population aging is a sign of human social progress and an inevitable trend of world population development (1). As the elderly population increases, their health problems become larger concerns to society. The 2-week prevalence of disease is a key indicator reflecting the health status and the demand for health services of the residents surveyed. In this study, the 2-week prevalence of disease among the elderly in central and western China was analyzed to provide a basis for improving the health of the elderly and the quality of health services.
Through multistage random cluster sampling, 14,656 rural elderly people aged 60 years and over in 20 project counties were selected for the survey.
The survey results revealed that the 2-week prevalence of any disease was 28.5%, and the group of disease with the highest prevalence was chronic diseases. An estimated 61.1% of the people surveyed had a chronic disease that continued during the 2-week period. The severity of disease was higher in females than males and higher in the higher age group (aged 80 years or more) than the lower age group (aged 60–79 years).
Thus, the rural elderly population’s health should be protected by preventing chronic diseases and improving access to and quality of medical and health services.
This study was based upon a survey under the “Community Participation to Promote Rural Elderly Health – Phase II” project of China’s National Health Commission. The survey was completed from November 2018 to January 2019 for the elderly aged 60 years and over who were capable of answering the questions on their own and with a residence history exceeding half a year. The participants were selected through multistage random cluster sampling from 130 administrative villages in 65 towns of 20 project counties. These project counties referred to poor counties with a large elderly population and a willingness to be surveyed, and 2–3 towns of each county were selected by random sampling according to the population of the county with 2 villages of each town being selected by random cluster sampling in 6 project regions [provincial-level administrative divisions (PLADs) including Yunnan Province, Xinjiang Uyghur Autonomous Region, Shanxi Province, Qinghai Province, Hubei Province, and Chongqing Municipality].
The survey consisted of face-to-face questionnaire that included two parts: general information of the respondent (e.g. demographic features, health-related conditions, etc.) and 2-week prevalence (e.g. type of 2-week prevalence of disease, onset of 2-week prevalence of disease, and severity of disease). The 2-week prevalence of disease meant that the respondent, within the 14 days before the day when he/she is surveyed: 1) had a disease and visited a medical organization for treatment; 2) had a disease and began self-treatment (e.g. self-administration of drugs, or adjuvant therapy like hot compress) instead of visiting a medical organization; or 3) had a disease and rested at home or stayed in bed for more than 1 day instead of visiting a medical organization or taking any self-treatment (2).
The 2-week prevalence of disease was defined as the number of persons who had a disease in the past two weeks to the total number of persons surveyed or through a second definition comparing the number person-times suffering a disease in the past two weeks to the total number of persons surveyed. The numerator using the number of persons was adopted in several previous studies and this study, and the additional numerator of person times was used for comparison with the National Health Service Survey data. In this survey, the diseases and the severity were diagnosed based on ICD-10. The types of diseases investigated were subject to the reporting of the respondents.
Statistical analyses were performed using SPSS statistical software (version 22.0, SPSS Inc, Chicago, IL, USA). The significance level was set to α = 0.05. The statistical method is the chi-square test.
The effective sample size of this survey is 14,656 persons including 7,404 males (50.5%) and 7,252 females (49.5%;) and exhibiting an average age of 69.86 ± 6.98 years old (including 8,435 persons or 57.6% of the total population aged 60 to 69 years) as shown in Table 1.
Demographic characteristics Number of
surveyedComposition
ratio (%)Number of respondents with
illnessesPrevalence
(%)χ2 p Gender 64.522 <0.001 Male 7,404 50.5 1,102 14.9 Female 7,252 49.5 1,444 19.9 Age (years old) 14.208 0.001 60– 8,435 57.6 1,380 16.4 70– 4,492 30.6 839 18.7 80– 1,729 11.8 327 18.9 Ethnicity 372.133 <0.001 Han 3,235 22.1 612 18.9 Uighur 5,980 40.8 815 13.6 Tujia 2,532 17.3 470 18.6 Kazakh 838 5.7 118 14.1 Lahu 701 4.8 271 38.7 Tibetan 637 4.3 60 9.4 Other 733 5.0 200 27.3 Educational level 111.850 <0.001 Illiterate or semiliterate 7,516 51.3 1,542 20.5 Primary school 5,394 36.8 726 13.5 Junior high school and above 1,746 11.9 278 15.9 Marital status 83.967 <0.001 Unmarried/widowed/solitary 1,758 12.1 287 16.2 Only husband and wife living together 6,566 44.8 956 14.6 Living with children 6,322 43.1 1,303 20.6 Total 14,656 100.0 2,546 17.4 Table 1. Basic information and the illnesses over the 2-week study period of the rural elderly — 6 provinces, China, 2018–2019.
Among the 14,656 persons, the number of person-times reported to experience disease in the 2 weeks was 4,182, so the 2-week prevalence of disease was derived to be 28.5%. The number of persons who had an illness in the 2 weeks was 2,546, so the 2-week prevalence was determined to be 17.4%. Particularly, the 2-week prevalence of disease were 14.9% for males and 19.9% for females, and it was the highest (18.9%) in the age group of 80 years and over as shown in Table 1.
The 5 disease categories with the highest 2-week prevalence were hypertension (3.9%), common cold (2.5%), arthritis/rheumatoid (2.3%), gastroenteritis/peptic ulcer (2.1%), and asthma/bronchitis/emphysema and other lung diseases (1.6%). Among the 2,546 persons who reported an illness in the past 2 weeks, 61.1% (1,557/2,546) had a chronic disease which started before the 2 weeks but continued during this period, 25.9% (659/2,546) had an acute disease, and 13.0% (330/2,546) had an acute disease that continued in the 2-week period. See Table 2 for more details.
Disease name Male Female Total Prevalence
(%)Composition
ratio (%)Prevalence
(%)Composition
ratio (%)Prevalence
(%)Composition
ratio (%)Hypertension 3.3 22.2 4.6 22.9 3.9 22.6 Cold 2.0 13.5 3.0 15.0 2.5 14.4 Arthritis/rheumatoid 1.8 12.1 2.8 14.1 2.3 13.2 Gastroenteritis/peptic ulcer 1.7 11.3 2.4 12.1 2.1 11.8 Asthma/bronchitis/emphysema and other lung diseases 1.5 10.0 1.7 8.7 1.6 9.3 Intervertebral disc disease 1.2 8.0 1.6 7.9 1.4 7.9 Heart disease/coronary heart disease 0.8 5.1 1.4 7.0 1.1 6.2 Cerebrovascular disease(including stroke) 0.6 4.2 0.5 2.7 0.6 3.3 Prostatitis, nephritis, kidney stones, cystitis 0.6 4.2 0.2 1.0 0.4 2.4 Gallstones/cholecystitis 0.3 1.8 0.5 2.6 0.4 2.2 Table 2. Prevalence and composition of the survey subjects in the 2-week survey period — 6 provinces, China, 2018–2019.
The severity of disease in the surveyed elderly in the 2 weeks was different between genders and between age groups. The number of sick days in the 2 weeks per 1,000 people was 1,601 days for females, which was more than the 1,176 days reported for males. The number of sick days in the 2 weeks per 1,000 people was 1,683 days for the higher age group and more than 1,253 days for the lower age group. In addition, the bedridden rate and the number of bedridden days were higher for females than for males, and higher for the higher age group than for the lower age group. See Table 3 for more details.
Demographic characteristics Age group
(years old)Days of illness Bedridden days Bedridden rate (‰) Male 1,176 183 30.9 60– 1,070 151 26.5 70– 1,261 164 31.4 80– 1,484 365 48.6 Female 1,601 290 50.2 60– 1,436 237 46.3 70– 1,799 330 51.3 80– 1,881 445 64.3 Total 1,387 236 40.3 60– 1,253 194 36.4 70– 1,530 247 41.6 80– 1,683 413 57.8 * The indicators in the table are all due to illness within two weeks. Among them: the number of sick days and bedridden days are the number of sick days and bedridden days per thousand surveyed population within two weeks. Bedridden rate = number of bedridden in 2 weeks / number of surveyed × 1,000‰. Table 3. Indicators of the severity of illness in the elderly in the 2-week survey period*— 6 provinces, China, 2018–2019.
HTML
Citation: |