Characteristics of the HIV/AIDS Epidemic among People Aged ≥ 50 Years in China during 2018–2021

HOU Yu Shan JIN Yi Chen CAI Chang TANG Hou Lin QIN Qian Qian LYU Fan

HOU Yu Shan, JIN Yi Chen, CAI Chang, TANG Hou Lin, QIN Qian Qian, LYU Fan. Characteristics of the HIV/AIDS Epidemic among People Aged ≥ 50 Years in China during 2018–2021[J]. Biomedical and Environmental Sciences, 2024, 37(4): 399-405. doi: 10.3967/bes2024.044
Citation: HOU Yu Shan, JIN Yi Chen, CAI Chang, TANG Hou Lin, QIN Qian Qian, LYU Fan. Characteristics of the HIV/AIDS Epidemic among People Aged ≥ 50 Years in China during 2018–2021[J]. Biomedical and Environmental Sciences, 2024, 37(4): 399-405. doi: 10.3967/bes2024.044

doi: 10.3967/bes2024.044

Characteristics of the HIV/AIDS Epidemic among People Aged ≥ 50 Years in China during 2018–2021

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    Author Bio:

    HOU Yu Shan, female, born in 1993, PhD Candidate, majoring in HIV epidemiology

    Corresponding author: QIN Qian Qian, Tel: 86-10-58900956, E-mail: qinqq@chinaaids.cnLYU Fan, Tel: 86-10-58900906, E-mail: fanlv@chinaaids.cn
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  • Table  1.   Basic characteristics of HIV/AIDS patients aged ≥ 50 years, 2018–2021 (n, %)

    Characteristics 2018 2019 2020 2021 Total
    n = 55,761 n = 65,404 n = 57,919 n = 58,640 n = 237,724
    Age group (years)
    50–59 24,710 (44.31) 28,735 (43.93) 27,353 (47.23) 28,244 (48.17) 109,042 (45.87)
    60–69 20,469 (36.71) 23,866 (36.49) 19,545 (33.75) 18,994 (32.39) 82,874 (34.86)
    70+ 10,582 (18.98) 12,803 (19.58) 11,021 (19.03) 11,402 (19.44) 45,808 (19.27)
    Gender
    Male 40,739 (73.06) 47,569 (72.73) 41,775 (72.13) 42,383 (72.28) 172,466 (72.55)
    Female 15,022 (26.94) 17,835 (27.27) 16,144 (27.87) 16,257 (27.72) 65,258 (27.45)
    Ethnicity
    Han 49,116 (88.08) 58,472 (89.40) 51,398 (88.74) 51,740 (88.23) 210,726 (88.64)
    Other 6,645 (11.92) 6,932 (10.60) 6,521 (11.26) 6,900 (11.77) 26,998 (11.36)
    Marital status
    Single 3,143 (5.64) 4,015 (6.14) 3,607 (6.32) 3,628 (6.19) 14,393 (6.05)
    Married or living a with partner 33,040 (59.25) 38,800 (59.32) 34,382 (59.36) 34,510 (58.85) 140,732 (59.20)
    Divorced or widowed 19,406 (34.80) 22,381 (34.22) 19,778 (34.15) 20,284 (34.59) 81,849 (34.43)
    Unknown 172 (0.31) 208 (0.32) 152 (0.26) 218 (0.37) 750 (0.32)
    Occupation
    Farmer 37,002 (66.36) 44,414 (67.91) 39,179 (67.64) 38,638 (65.89) 159,233 (66.98)
    Other 18,759 (46.05) 20,990 (44.13) 18,740 (44.86) 20,002 (47.19) 78,491 (45.51)
    Education
    Primary school and Illiterate 34,917 (62.62) 41,585 (63.58) 36,774 (63.49) 36,245 (61.81) 149,521 (62.90)
    Junior school 14,761 (26.47) 17,086 (26.12) 15,440 (26.66) 16,258 (27.73) 63,545 (26.73)
    High school and above 6,083 (10.91) 6,733 (10.29) 5,705 (9.85) 6,137 (10.47) 24,658 (10.37)
    Transmission route
    Heterosexual 50,847 (91.19) 60,011 (91.75) 53,068 (91.62) 52,981 (90.35) 216,907 (91.24)
    Homosexual 3,881 (6.96) 4,262 (6.52) 3,876 (6.69) 4,675 (7.97) 16,694 (7.02)
    Injecting Drugs 344 (0.62) 251 (0.38) 179 (0.31) 169 (0.29) 943 (0.40)
    Other 689 (1.24) 880 (1.35) 796 (1.37) 815 (1.39) 3,180 (1.34)
    Regional division*
    Northeast China 1,232 (2.21) 1,294 (1.98) 1,040 (1.80) 1,240 (2.11) 4,806 (2.02)
    North China 1,526 (2.74) 1,641 (2.51) 1,487 (2.57) 1,800 (3.07) 6,454 (2.71)
    East China 5,250 (9.42) 5,945 (9.09) 5,604 (9.68) 6,323 (10.78) 23,122 (9.73)
    Southern China 8,077 (14.49) 9,756 (14.92) 9,644 (16.65) 10,581 (18.04) 38,058 (16.01)
    Central China 8,491 (15.23) 9,107 (13.92) 8,448 (14.59) 9,186 (15.67) 35,232 (14.82)
    Northwest China 2,257 (4.05) 2,395 (3.66) 1,997 (3.45) 2,207 (3.76) 8,856 (3.73)
    Southwest China 28,928 (51.88) 35,266 (53.92) 29,699 (51.28) 27,303 (46.56) 121,196 (50.98)
      Note. *Northeast China: Heilongjiang, Jilin, Liaoning; North China: Beijing, Tianjin, Shanxi, Hebei, and Inner Mongolia; East China: Shanghai, Jiangsu, Zhejiang, Anhui, Jiangxi, Shandong, and Fujian; Southern China: Guangdong, Guangxi Zhuang Autonomous Region, and Hainan; Central China: Henan, Hubei, and Hunan; Northwest China: Shaanxi, Gansu, Qinghai, Ningxia Hui Autonomous Region, and Xinjiang Uygur Autonomous Region; Southwest China: Chongqing, Sichuan, Guizhou, Yunnan, and Tibet Autonomous Region.
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    Table  2.   Analysis of HIV/AIDS patients aged ≥ 50 years with heterosexual transmission (n, %)

    Characteristics MHC CHC NMNCHC Unknown χ2 P
    Sex
    Male 5,161 (3.38) 91,174 (59.67) 51,004 (33.38) 5,462 (3.57) 60,834.971 < 0.001
    Female 18,073 (28.19) 5,348 (8.34) 38,843 (60.59) 1,842 (2.87)
    Age group (years)
    50–59 11,958 (12.60) 36,247 (38.18) 43560 (45.89) 3,162 (3.33) 2,886.586 < 0.001
    60+ 11,276 (9.24) 60,275 (49.41) 46287 (37.95) 4,142 (3.40)
    下载: 导出CSV

    Table  3.   Modes of infection in newly reported PLWHA aged ≥ 50 years and infected through heterosexual contact in China, 2018–2021

    Characteristics 2018 2019 2020 2021 Z P
    n = 50,847 n = 60,011 n = 53,068 n = 52,981
    MHC N (%) 5,713 (11.24) 6,354 (10.59) 5,846 (11.02) 5,321 (10.04) 26.39 < 0.01
    Sex ratio 0.27 0.29 0.30 0.30
    CHC N (%) 23,037 (45.31) 27,060 (45.09) 23,765 (44.78) 22,660 (42.77) 67.71 < 0.01
    Sex ratio 16.64 17.98 17.49 16.02
    NMNCHC N (%) 20,316 (39.96) 24,356 (40.59) 22,104 (41.65) 23,071 (43.55) 153.05 < 0.01
    Sex ratio 1.38 1.30 1.27 1.30
    Unknown N (%) 1,781 (3.50) 2,241 (3.73) 1,353 (2.55) 1,929 (3.64) 5.32 0.02
    Sex ratio 3.22 2.98 3.11 2.65
    下载: 导出CSV

    Table  4.   Spatial clustering analysis of HIV/AIDS cases in people aged 50 and above on the Poisson model, 2018–2021

    Location of the case clusters Time frame Relative risk Log likelihood ratio P value
    Yunnan (16 cities), Guizhou (9 cities), Sichuan (17 cities),
    Chongqing, Guangxi (13 cities), Hunan (1 city)*
    2018/1/1 to 2019/12/31 5.47 56195.29 < 0.001
    Jingdezhen in Jiangxi 2018/1/1 to 2019/12/31 3.33 201.78 < 0.001
    Huangshi in Hubei 2018/1/1 to 2019/12/31 1.69 35.21 < 0.001
    Yinchun in Jiangxi 2018/1/1 to 2018/12/31 1.24 5.08 < 0.001
      Note. *The first clustering area includes: Yunnan (Kunming, Qujing, Yuxi, Baoshan, Zhaotong, Lijiang, Puer, Lincang, Chuxiong Yi Autonomous Prefecture, Honghe Hani and Yi Autonomous Prefecture, Wenshan Zhuang and Miao Autonomous Prefecture, Dai Autonomous Prefecture of Xishuangbanna/Sipsongpanna, Dali Bai Autonomous Prefecture, Dehong Dai and Jingpo Autonomous Prefecture, Nujiang Lisu Autonomous Prefecture, Diqing Tibetan Autonomous Prefecture), Guizhou (Guiyang, Liupanshui, Zunyi, Anshun, Tongren, Qianxinan Buyi and Miao Autonomous Prefecture, Bijie, Qiandongnan Miao and Dong Autonomous Prefecture, Qiannan Buyi and Miao Autonomous Prefecture), Sichuan (Chengdu, Zigong, Panzhihua, Luzhou, Deyang, Mianyang, Suining, Neijiang, Leshan, Nanchong, Menshan, Yibin, Guangan, Yaan, Ziyang, Ganzi Tibetan Autonomous Prefecture, Liangshan Yi Autonomous Prefecture), Chongqing, Guangxi (Nanning, Liuzhou, Guilin, Wuzhou, Beihai, Fangchenggang, Qinzhou, Guigang, Yulin, Baise, Hechi, Laibin, Chongzuo), and Hunan (Huaihua).
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  • 收稿日期:  2023-10-07
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Characteristics of the HIV/AIDS Epidemic among People Aged ≥ 50 Years in China during 2018–2021

doi: 10.3967/bes2024.044
    作者简介:

    HOU Yu Shan, female, born in 1993, PhD Candidate, majoring in HIV epidemiology

    通讯作者: QIN Qian Qian, Tel: 86-10-58900956, E-mail: qinqq@chinaaids.cnLYU Fan, Tel: 86-10-58900906, E-mail: fanlv@chinaaids.cn

English Abstract

HOU Yu Shan, JIN Yi Chen, CAI Chang, TANG Hou Lin, QIN Qian Qian, LYU Fan. Characteristics of the HIV/AIDS Epidemic among People Aged ≥ 50 Years in China during 2018–2021[J]. Biomedical and Environmental Sciences, 2024, 37(4): 399-405. doi: 10.3967/bes2024.044
Citation: HOU Yu Shan, JIN Yi Chen, CAI Chang, TANG Hou Lin, QIN Qian Qian, LYU Fan. Characteristics of the HIV/AIDS Epidemic among People Aged ≥ 50 Years in China during 2018–2021[J]. Biomedical and Environmental Sciences, 2024, 37(4): 399-405. doi: 10.3967/bes2024.044
    • With the progression of global population aging, widespread antiretroviral therapy use, and persistent high-risk behaviors among people aged ≥ 50 years, the incidence of human immunodeficiency virus (HIV) infections in this demographic has continuously increased. The worldwide epidemic of HIV/AIDS has shown an aging trend[1]. In China, the proportion of people living with HIV/AIDS (PLWHA) aged 50 and above, has increased steadily from 22% in 2011 to 44% in 2020[2]. In 2022, 48.1% of the 107,000 reported HIV/AIDS cases involved patients, aged ≥ 50 years[3].

      By analyzing the epidemic trends and population characteristics of PLWHA, aged ≥ 50, reported in China from 2018 to 2021, this study aimed to comprehend the epidemiological status and spatial distribution of this population and recommend targeted interventions. The results of this study will serve as the foundation for preventive and curative strategies against sexually transmitted HIV/AIDS among people, aged ≥ 50 years.

    • This study used data from the Chinese HIV/AIDS Comprehensive Response Information Management System (CRIMS) to analyze the epidemiological status of newly reported HIV infections in people aged ≥ 50 years. Patients with newly reported HIV infections were identified through the web-based CRIMS by representatives of local Centers for Disease Control (CDCs) and medical institutions[4]. A self-administered questionnaire was used to gather information on the demographics and high-risk behaviors of the infected individuals. Permission to use the data from the CRIMS was granted by the National Center for AIDS/STD Control and Prevention of the China CDC. The Institutional Review Board of the National Center for STD/HIV Control and Prevention approved the study (X220314677).

    • The study included all newly reported PLWHA (237,724 cases) in the CRIMS from 2018 to 2021. The following inclusion criteria were developed to meet the study objectives: 1) HIV/AIDS cases reported between 2018 and 2021 and 2) aged ≥ 50 years old. All eligible patients were included in this study. Personal information was removed from the database to protect the participants’ privacy. Demographic factors, including age, sex, ethnicity, marital status, occupation, education, transmission route, and regional division, were included in the analysis.

      According to the 2022 China Statistical Yearbook, the national and provincial administrative divisions of China were based on the website of the National Bureau of Statistics. By the end of 2021, there were four municipalities, directly under the central government, and 333 prefecture-level administrative divisions. All in all, there were 337 geographical units at the city level. Population data for provincial- and prefecture-level administrative divisions were obtained from the National Bureau of Statistics.

    • For the statistical analysis of qualitative data, the chi-square test was used to assess the differences, while the Cochran-Armitage trend test (statistic Z) was used to evaluate the linear trend between the independent and dependent variables. The linear trend between two ordered categorical variables was analyzed using Mantel-Haenszel χ2 (with the statistic being trend χ2) and Spearman’s correlation, where the test level was α = 0.05.

      A spatial autocorrelation analysis was conducted using the proportion of HIV/AIDS cases among people aged ≥ 50 years at the city level. A rook spatial weight matrix was constructed, and Global Moran’s I was used to determine spatial autocorrelation. The Local Moran’s I was used to analyze the spatial clustering of geographic units near a certain city-level area, and high-high clustering areas were found. The time-space scan statistic was used to detect statistical significance in the temporal and spatial clustering of HIV/AIDS cases in people aged ≥ 50 years. A Poisson distribution model was used to perform a spatial clustering analysis of the number of HIV/AIDS cases among people, aged 50 years and older from 2018 to 2021.

      Statistical software: The data analysis was performed using the SPSS software (version 24.0; IBM Inc., Armonk, NY, USA), Geoda 1.20 software (Arizona State University, AZ, USA), SaTScan 10.1.2, (M Kulldorff and Information Management Services Inc., Cambridge, Massachusetts), and Microsoft Excel 2016 (Microsoft Corp 2016).

    • a. As of the time of reporting, “HIV” refers to the presence of an HIV infection. “AIDS” refers to patients who have been diagnosed with AIDS, and “HIV/AIDS” refers to either an HIV infection or AIDS case.

      b. Marital heterosexual contact (MHC): Contraction of HIV from a partner of the opposite sex in the context of a marital or monogamous relationship.

      c. Commercial heterosexual contact (CHC): Commercial sexual contact with a non-marital heterosexual partner, mainly people, who acquire HIV through the sale or purchase of sex.

      d. Non-marital non-CHC (NMNCHC): Non-commercial sexual contact with an unmarried heterosexual partner, mainly including individuals, who contracted HIV from transitory partners in the context of a casual relationship.

    • Between 2018 and 2021, there were 237,724 HIV/AIDS cases, reported in persons aged ≥ 50 years in China, accounting for 42.39% of all newly reported cases. The proportion of reported HIV/AIDS cases among people, aged ≥ 50 years, in China has increased from 37.5% in 2018 to 45.3% in 2021. Of these, 109,042 patients (45.87%) were aged 50–59 years, and 172,466 (72.55%) were male. The primary occupation was farming (159,233/237,724; 66.98%), and a significant number of patients received education below junior high school level (213,066/237,724; 89.63%). Heterosexual transmission was the leading mode of transmission (216,907/237,724; 91.24%). Cases were mainly concentrated in southwest China (121,196/237,724; 50.98%) (Table 1).

      Table 1.  Basic characteristics of HIV/AIDS patients aged ≥ 50 years, 2018–2021 (n, %)

      Characteristics 2018 2019 2020 2021 Total
      n = 55,761 n = 65,404 n = 57,919 n = 58,640 n = 237,724
      Age group (years)
      50–59 24,710 (44.31) 28,735 (43.93) 27,353 (47.23) 28,244 (48.17) 109,042 (45.87)
      60–69 20,469 (36.71) 23,866 (36.49) 19,545 (33.75) 18,994 (32.39) 82,874 (34.86)
      70+ 10,582 (18.98) 12,803 (19.58) 11,021 (19.03) 11,402 (19.44) 45,808 (19.27)
      Gender
      Male 40,739 (73.06) 47,569 (72.73) 41,775 (72.13) 42,383 (72.28) 172,466 (72.55)
      Female 15,022 (26.94) 17,835 (27.27) 16,144 (27.87) 16,257 (27.72) 65,258 (27.45)
      Ethnicity
      Han 49,116 (88.08) 58,472 (89.40) 51,398 (88.74) 51,740 (88.23) 210,726 (88.64)
      Other 6,645 (11.92) 6,932 (10.60) 6,521 (11.26) 6,900 (11.77) 26,998 (11.36)
      Marital status
      Single 3,143 (5.64) 4,015 (6.14) 3,607 (6.32) 3,628 (6.19) 14,393 (6.05)
      Married or living a with partner 33,040 (59.25) 38,800 (59.32) 34,382 (59.36) 34,510 (58.85) 140,732 (59.20)
      Divorced or widowed 19,406 (34.80) 22,381 (34.22) 19,778 (34.15) 20,284 (34.59) 81,849 (34.43)
      Unknown 172 (0.31) 208 (0.32) 152 (0.26) 218 (0.37) 750 (0.32)
      Occupation
      Farmer 37,002 (66.36) 44,414 (67.91) 39,179 (67.64) 38,638 (65.89) 159,233 (66.98)
      Other 18,759 (46.05) 20,990 (44.13) 18,740 (44.86) 20,002 (47.19) 78,491 (45.51)
      Education
      Primary school and Illiterate 34,917 (62.62) 41,585 (63.58) 36,774 (63.49) 36,245 (61.81) 149,521 (62.90)
      Junior school 14,761 (26.47) 17,086 (26.12) 15,440 (26.66) 16,258 (27.73) 63,545 (26.73)
      High school and above 6,083 (10.91) 6,733 (10.29) 5,705 (9.85) 6,137 (10.47) 24,658 (10.37)
      Transmission route
      Heterosexual 50,847 (91.19) 60,011 (91.75) 53,068 (91.62) 52,981 (90.35) 216,907 (91.24)
      Homosexual 3,881 (6.96) 4,262 (6.52) 3,876 (6.69) 4,675 (7.97) 16,694 (7.02)
      Injecting Drugs 344 (0.62) 251 (0.38) 179 (0.31) 169 (0.29) 943 (0.40)
      Other 689 (1.24) 880 (1.35) 796 (1.37) 815 (1.39) 3,180 (1.34)
      Regional division*
      Northeast China 1,232 (2.21) 1,294 (1.98) 1,040 (1.80) 1,240 (2.11) 4,806 (2.02)
      North China 1,526 (2.74) 1,641 (2.51) 1,487 (2.57) 1,800 (3.07) 6,454 (2.71)
      East China 5,250 (9.42) 5,945 (9.09) 5,604 (9.68) 6,323 (10.78) 23,122 (9.73)
      Southern China 8,077 (14.49) 9,756 (14.92) 9,644 (16.65) 10,581 (18.04) 38,058 (16.01)
      Central China 8,491 (15.23) 9,107 (13.92) 8,448 (14.59) 9,186 (15.67) 35,232 (14.82)
      Northwest China 2,257 (4.05) 2,395 (3.66) 1,997 (3.45) 2,207 (3.76) 8,856 (3.73)
      Southwest China 28,928 (51.88) 35,266 (53.92) 29,699 (51.28) 27,303 (46.56) 121,196 (50.98)
        Note. *Northeast China: Heilongjiang, Jilin, Liaoning; North China: Beijing, Tianjin, Shanxi, Hebei, and Inner Mongolia; East China: Shanghai, Jiangsu, Zhejiang, Anhui, Jiangxi, Shandong, and Fujian; Southern China: Guangdong, Guangxi Zhuang Autonomous Region, and Hainan; Central China: Henan, Hubei, and Hunan; Northwest China: Shaanxi, Gansu, Qinghai, Ningxia Hui Autonomous Region, and Xinjiang Uygur Autonomous Region; Southwest China: Chongqing, Sichuan, Guizhou, Yunnan, and Tibet Autonomous Region.
    • Although heterosexual transmission was predominant in both men and women aged ≥ 50 years, the type of heterosexual contact differed between the sexes. There was a significant difference in the proportion of heterosexual transmission among different sexes (χ2 = 60834.971, P < 0.001). For males, the primary mode of transmission was CHC (91,174/152,801; 59.67%), followed by NMNCHC (33.38%). In females, NMNCHC (60.59%) and MHC 28.19%) were the most prevalent routes.

      There was a significant difference in the proportion of heterosexual transmission among different age groups (χ2 = 2886.586, P < 0.001). NMNCHC was the most prevalent route (45.89%) in patients, aged 50–59 years, while CHC (49.41%) was the primary route for those, 60 years and older. In male HIV/AIDS patients, a significant difference in the proportion of heterosexual transmission was observed among different age groups (χ2 = 916.549, P < 0.001). Moreover, the proportion of CHC among patients, aged 60 years old and above, increased to 62.50% (Table 2).

      Table 2.  Analysis of HIV/AIDS patients aged ≥ 50 years with heterosexual transmission (n, %)

      Characteristics MHC CHC NMNCHC Unknown χ2 P
      Sex
      Male 5,161 (3.38) 91,174 (59.67) 51,004 (33.38) 5,462 (3.57) 60,834.971 < 0.001
      Female 18,073 (28.19) 5,348 (8.34) 38,843 (60.59) 1,842 (2.87)
      Age group (years)
      50–59 11,958 (12.60) 36,247 (38.18) 43560 (45.89) 3,162 (3.33) 2,886.586 < 0.001
      60+ 11,276 (9.24) 60,275 (49.41) 46287 (37.95) 4,142 (3.40)

      Among the newly reported cases of heterosexual transmission, involving patients aged ≥ 50 years in China from 2018 to 2021, the proportion of patients with CHC decreased (Z = 70.56, P < 0.01). Meanwhile, that of patients with NMNCHC increased (Z = 156.46, P < 0.01). The percentages of the other two contact methods ranged from 13.49% to 14.66%. There was a marked distinction between sexes in terms of heterosexual contact. The sex ratio varied, depending on the mode of infection. In particular, the sex ratios were 17.05, 2.97, 1.31 and 0.29 for CHC, unknown, NMNCHC and MHC, respectively (Table 3).

      Table 3.  Modes of infection in newly reported PLWHA aged ≥ 50 years and infected through heterosexual contact in China, 2018–2021

      Characteristics 2018 2019 2020 2021 Z P
      n = 50,847 n = 60,011 n = 53,068 n = 52,981
      MHC N (%) 5,713 (11.24) 6,354 (10.59) 5,846 (11.02) 5,321 (10.04) 26.39 < 0.01
      Sex ratio 0.27 0.29 0.30 0.30
      CHC N (%) 23,037 (45.31) 27,060 (45.09) 23,765 (44.78) 22,660 (42.77) 67.71 < 0.01
      Sex ratio 16.64 17.98 17.49 16.02
      NMNCHC N (%) 20,316 (39.96) 24,356 (40.59) 22,104 (41.65) 23,071 (43.55) 153.05 < 0.01
      Sex ratio 1.38 1.30 1.27 1.30
      Unknown N (%) 1,781 (3.50) 2,241 (3.73) 1,353 (2.55) 1,929 (3.64) 5.32 0.02
      Sex ratio 3.22 2.98 3.11 2.65
    • In 2018, 99.7% (336/337) of cities reported HIV/AIDS in people, aged 50 and above. However, the number of cities, reporting cases, decreased and stabilized at approximately 97% from 2019 to 2021.

      A global spatial autocorrelation analysis was conducted using the proportion of HIV/AIDS cases in people, aged 50 and above, at the city-level geographic unit from 2018 to 2021. The Moran’s I values were 0.651, 0.683, 0.732, and 0.725, respectively, and the P-values were all less than 0.001, indicating spatial clustering. The local spatial autocorrelation analysis showed that high-high clustering areas were mainly distributed in the southwestern and central-southern provinces, such as Guangxi, Guizhou, Hunan, Yunnan, Sichuan, and Guangdong.

      From 2018 to 2021, four clustering areas were identified via a time-space scan analysis of HIV/AIDS cases in people, aged 50 years and above. The first clustering area had a wide distribution with a center point located in Yuxi City, Yunnan Province (24.13 N, 102.21 °E) and a radius of 895.09 km. It was distributed in 57 cities in provinces, including Yunnan, Guizhou, Sichuan, Guangxi, Chongqing, and Hunan, with a clustering period from 2018 to 2019 (RR = 5.47, P < 0.001) (Table 4).

      Table 4.  Spatial clustering analysis of HIV/AIDS cases in people aged 50 and above on the Poisson model, 2018–2021

      Location of the case clusters Time frame Relative risk Log likelihood ratio P value
      Yunnan (16 cities), Guizhou (9 cities), Sichuan (17 cities),
      Chongqing, Guangxi (13 cities), Hunan (1 city)*
      2018/1/1 to 2019/12/31 5.47 56195.29 < 0.001
      Jingdezhen in Jiangxi 2018/1/1 to 2019/12/31 3.33 201.78 < 0.001
      Huangshi in Hubei 2018/1/1 to 2019/12/31 1.69 35.21 < 0.001
      Yinchun in Jiangxi 2018/1/1 to 2018/12/31 1.24 5.08 < 0.001
        Note. *The first clustering area includes: Yunnan (Kunming, Qujing, Yuxi, Baoshan, Zhaotong, Lijiang, Puer, Lincang, Chuxiong Yi Autonomous Prefecture, Honghe Hani and Yi Autonomous Prefecture, Wenshan Zhuang and Miao Autonomous Prefecture, Dai Autonomous Prefecture of Xishuangbanna/Sipsongpanna, Dali Bai Autonomous Prefecture, Dehong Dai and Jingpo Autonomous Prefecture, Nujiang Lisu Autonomous Prefecture, Diqing Tibetan Autonomous Prefecture), Guizhou (Guiyang, Liupanshui, Zunyi, Anshun, Tongren, Qianxinan Buyi and Miao Autonomous Prefecture, Bijie, Qiandongnan Miao and Dong Autonomous Prefecture, Qiannan Buyi and Miao Autonomous Prefecture), Sichuan (Chengdu, Zigong, Panzhihua, Luzhou, Deyang, Mianyang, Suining, Neijiang, Leshan, Nanchong, Menshan, Yibin, Guangan, Yaan, Ziyang, Ganzi Tibetan Autonomous Prefecture, Liangshan Yi Autonomous Prefecture), Chongqing, Guangxi (Nanning, Liuzhou, Guilin, Wuzhou, Beihai, Fangchenggang, Qinzhou, Guigang, Yulin, Baise, Hechi, Laibin, Chongzuo), and Hunan (Huaihua).
    • From 2018 to 2022, PLWHA, aged ≥ 50 years, represented more than 40% of the total reported HIV/ADIS cases in China. Most patients were in the 50–59 years age group. The cohort had a male predominance, and the education level was below junior high school for most patients. The primary occupation was farming, and the PLWHA, aged ≥ 50 years, were mainly concentrated in southwest China. The spatial analysis indicated spatial clustering, and high-high clustering areas were mainly distributed in the southwestern and central-southern provinces, including Guangxi, Guizhou, Hunan, Yunnan, Sichuan, and Guangdong.

      Among the newly reported HIV/AIDS patients, aged ≥ 50 years, the primary mode of transmission was heterosexual contact with a commercial sex partner. In a quantitative survey, 20.8% of the participants had intercourse with commercial sexual partners in the past six months. Among them, 47.1% reported consistent condom use[5]. These transactions frequently occurred in substandard establishments, such as small hotels, rented houses, or teahouses[6], which typically lacked proper sanitation, thereby increasing the risk of HIV transmission. Additionally, this population tended to have limited education. Their knowledge and awareness of protective measures against sexually transmitted diseases and extended exposure periods were inadequate. The condom usage rate was also low. Due to these factors, this population was especially vulnerable to infection with HIV[7]. Consequently, HIV prevention initiatives, targeting men aged ≥ 50 years, should focus on commercial sexual interaction.

      Although CHC was the primary mode of transmission for male HIV patients, aged ≥ 50 years, there was an increasing trend of infections from NMNCHC. One study documented an increasing rate of HIV infection among people with non-commercial, casual sex partners[8]. In the present study, those, infected via NMNCHC transmission, accounted for approximately 40% of all patients. This proportion was similar to the trend of newly identified cases of HIV, transmitted via NMNCHC, in 2018 based on a previous study[9]. Some older adults engage with inconsistent or temporary partners to address their loneliness or seek stimulation, thereby increasing their risk for HIV infection. However, for females aged ≥ 50 years, the rate of transmission via MHC and NMNCHC, was significant. Identifying intervention targets for transient non-commercial sexual behaviors is challenging, and there is no established preventive or curative approach for this group. The difference in the proportions of CHC in elderly male and female cases was influenced by physiological and psychological factors. The sexual needs of women gradually decline with menopause, while those of men are more stable. Studies have shown that men still have sexual needs even at the age of 70 years[10]. Consequently, older men are more likely to seek sexual activities, compared to women. From a psychological perspective, older men are more likely to actively seek sexual partners and more willing to express their sexual needs. In addition, older men are more likely to engage in CHC.

      This study revealed that the proportion of newly reported heterosexual HIV/AIDS infections due to CHC decreased, while HIV/AIDS infections due to NMNCHC slightly increased from 2018 to 2021. This was possibly related to the implementation of the 13th Five-Year Plan and the Plan to Curb the Spread of HIV/AIDS (2019–2022)[11] as well as the advancements in HIV/AIDS prevention and control[2]. The number of elderly men, infected through sexual contact with a commercial partner, exceeded that of women by more than 17-fold, suggesting the presence of super-spreaders in the elderly HIV cohort. Based on this, a small number of commercial sex workers may have infected multiple clients. In a transmission network study in Guangxi Province, the largest cluster contained two female sex workers and 18 elderly male clients with an average degree of 18[12]. Men typically preferred younger commercial partners. Clients, aged ≥ 50 years, often seek sex workers, aged approximately 40 years. Screening should be broadened for high-risk groups, including sex workers and their clients. The adoption of voluntary AIDS counseling and testing services should be encouraged to facilitate the early detection of infection sources, treatment standardization, and minimization of transmission risk.

      HIV/AIDS cases are primarily concentrated in southwestern China. Local spatial autocorrelation analysis showed that the high-high clustering areas were mainly distributed in the southwestern and central-southern provinces, such as Guangxi, Guizhou, Hunan, Yunnan, Sichuan, and Guangdong. Spatial analysis also identified infection hotspots, including the Guangxi, Yunnan, and Sichuan provinces, as well as the Chongqing municipality. Compared to the eastern regions, the economies of Guangxi and Sichuan are poorer. Moreover, the increased rate of immigration facilitates the easier spread of disease[7]. In addition, health education and publicity in southwest China are insufficient. Presumably, elderly people lack awareness and knowledge of HIV prevention and control. Individuals in this age group seldom consult healthcare professionals, regarding sexually transmitted infections and HIV/AIDS[13]. Due to the stigma, HIV-positive individuals above 50 years of age are often reticent to avail of AIDS-related services[14]. This reluctance likely emanates from an insufficient comprehension of the societal, familial, and individual ramifications, associated with HIV/AIDS, thereby creating an environment, conducive to viral transmission. For these people, it is essential to use easily comprehensible health education methods and to implement specific interventions to prevent heterosexual transmission.

    • First, this study utilized HIV/AIDS case report data for a macro-level analysis. However, due to monitoring data constraints, a comprehensive analysis of the behavioral attributes of PLWHA, aged ≥ 50 years, was not conducted. Second, the diagnosis of HIV/AIDS is often delayed due to its unique characteristics, resulting in a number of HIV-infected individuals, remaining undiagnosed for several years after infection[4]. Some cases of HIV/AIDS have not been reported in the CRIMS. Finally, the transmission routes of some elderly HIV/AIDS patients were misreported[15]. However, the mode of infection was accurately reported in most cases. An epidemiological investigation, following the report, and a subsequent follow-up period will determine the mode of infection. The CDC verifies the quality of the data every year, and the CRIMS reflects the trends in HIV/AIDS cases.

    • From 2018 to 2021, the reported cases of HIV/AIDS among patients, aged ≥ 50 years, in China were predominantly attributed to heterosexual transmission. Infection was primarily caused by CHC and NMNCHC, and a slight increase in the number of NMNCHC cases was observed. Distinct sex ratios were observed in various age groups, depending on the transmission method. The spatial analysis indicated spatial clustering, and high-high clustering areas were mainly distributed in the southwestern and central-southern provinces. Expanding HIV testing, treatment, and holistic behavioral interventions for vulnerable groups and major regions, including the southwestern and central-southern provinces, is recommended to enhance the efficacy of case detection.

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