Journal of Global Health最新文献

Background: Although the association of a healthy lifestyle with type 2 diabetes (T2D) has been extensively studied, its impact on the dynamic trajectory, including progression, onset and prognosis, of T2D has not been investigated.

Methods: Using data from the UK Biobank, 461 168 participants without diabetes or diabetes-related events were included. We incorporated four lifestyle factors to construct the healthy lifestyle score (HLS). We employed a multi-state model to examine the relationship between a healthy lifestyle and transition in T2D progression, including transitions from baseline to diabetes, complications, and further to death. The cumulative probability of above transitions based on the health lifestyle score was calculated.

Results: The results indicated that adhering to 3-4 healthy lifestyles had an inverse association with the risk of transition from baseline to diabetes (hazard ratio (HR) = 0.966; 95% confidence interval (CI) = 0.935-0.998, P = 0.038), diabetes to complications (HR = 0.869; 95% CI = 0.818-0.923, P = 5.2 × 10^-6), baseline to death (HR = 0.528; 95% CI = 0.502-0.553, P < 2 × 10^-16, and diabetes to death (HR = 0.765; 95% CI = 0.591-0.990, P = 0.041) compared with maintaining 0-1 healthy lifestyles. In addition, the transition probability of the above transitions can be lower with maintaining 3-4 healthy lifestyles.

Conclusions: Healthy lifestyles are negatively associated with the risk of multiple outcomes during the dynamic progression of T2D. Adherence to 3-4 healthy lifestyle behaviours before diabetes onset can lower the risk of developing T2D, further reducing the risk of diabetes complications and death in patients with T2D.

Background: As part of the Immunisation Agenda 2030, the World Health Organization set a goal to reduce the number of children who did not receive any routine vaccine by 50% by 2030. We aimed to describe the patterns of vaccines received for children with zero, one, and up to full vaccination, while considering newly deployed vaccines (pneumococcal conjugate vaccine (PCV) and rotavirus (ROTA) vaccine) alongside longstanding ones such as the Bacille Calmete-Guérin (BCG), diphtheria, tetanus, and pertussis (DPT), and poliomyelitis vaccines, and measles-containing vaccines (MCVs).

Methods: We used data from national household surveys (Demographic and Health Surveys and Multiple Indicator Cluster Surveys) carried out in 43 low- and middle-income countries since 2014. We calculated the immunisation cascade as a score ranging from zero to six, considering BCG, polio, DPT, and ROTA vaccines, and the MCV and PCV. We also described the most prevalent combination of vaccines. The analyses were pooled across countries and stratified by household wealth quintiles.

Results: In the pooled analyses with all countries combined, 9.0% of children failed to receive any vaccines, 58.6% received at least one dose of each of the six vaccines, and 47.2% were fully vaccinated with all doses. Among the few children receiving 1-5 vaccines, the most frequent were BCG vaccines, polio vaccines, DPT vaccines, PCV, ROTA vaccines, and MCV.

Conclusions: Targeting children with their initial vaccine is crucial, as those who receive a first vaccine are more likely to undergo subsequent vaccinations. Finding zero-dose children and starting their immunisation is essential to leaving no one behind during the era of Sustainable Development Goals.

Background: The interinfluence of thyroid function and daily physical activity (PA) remains unclear. We examined the causal relationship between genetically proxied thyroid-related traits; hypothyroidism, hyperthyroidism, thyroid stimulating hormone (TSH) and free thyroxine (FT4), and daily PA measures; leisure screen time (LST) and moderate-to-vigorous physical activity (MVPA), using Mendelian randomisation (MR) analysis.

Methods: We used genome-wide association study (GWAS) data from the ThyroidOmics Consortium and the most comprehensive meta-analysis on PA, comprising data on hypothyroidism (n = 53 423), hyperthyroidism (n = 51 823), TSH within the reference range (n = 54 288), fT4 within the reference range (n = 49 269), LST (n = 526 725), and MVPA (n = 608 595) to conduct a bidirectional two-sample MR analysis. The inverse variance weighted (IVW) method was employed as the primary result. Sensitivity analyses included MR-Egger, weighted median, and MR pleiotropy residual sum and outlier (MR-PRESSO) regression. Similar investigations were conducted in the reverse direction. Finally, we analysed a multivariable MR using body mass index (BMI)-related traits GWAS data.

Results: In the primary IVW analysis, an increase in genetically proxied TSH levels significantly increased LST (correlation coefficient (β) = 0.040; 95% confidence interval (CI) = 0.020-0.061, P = 9.776 × 10^-5). The multivariable MR analysis indicated that the positive causal effect still existed when considering the influence of BMI (MVMR-IVW: β = 0.042; 95% CI = 0.011-0.073, P = 0.007). Conversely, there was no evidence to suggest that PA impacts thyroid function.

Conclusions: The results of this MR analysis suggest that thyroid function influences daily PA. The positive association between TSH and LST is not confounded or mediated by BMI.

This corrects the article DOI: 10.7189/jogh.12.04031

Background: Uganda has a high burden of cervical cancer and its current coverage of screening based on visual inspection with acetic acid (VIA) is low. High-risk HPV (hrHPV) testing is recommended by the World Health Organization as part of the global elimination strategy for cervical cancer. In this context, country-specific health economic evaluations can inform national-level decisions regarding implementation. We evaluated the recommended hrHPV screen-and-treat strategy to determine the minimum required levels of coverage and treatment adherence, as well as the maximum price level per test, for the strategy to be cost-effective in Uganda.

Methods: We conducted a headroom analysis to estimate potential room for spending on implementing the hrHPV screen-and-treat strategy at different levels of coverage and treatment adherence (from 10% to 100%) at each screening round, and at different price levels of the hrHPV test. We compared the strategy with the existing VIA-based screen-and-treat policy in Uganda. We calculated headroom as the product of number of life years gained by the strategy and the willingness-to-pay threshold, minus the incremental costs incurred by the strategy. Positive headroom was interpreted as an indication of cost-effectiveness.

Results: Compared with VIA-based screening with low 5% coverage, the hrHPV screen-and-treat strategy required at least 30% coverage and adherence for positive mean headroom, and compared with 30% VIA-based screening coverage, the minimum levels were 60%. At 60% coverage and adherence, the maximum acceptable price per hrHPV test was found to be between 15 and 30 international dollars.

Conclusions: The hrHPV-based screen-and-treat strategy could be cost-effective in Uganda if the screening coverage and treatment adherence are at least 30% in each screening round, and if the price per test is set below 30 international dollars. The minimum required levels of screening coverage and adherence to treatment provide potential starting points for decision-makers in planning the rollout of hrHPV testing. The headroom estimates can guide the planning costs of screening infrastructure and campaigns to achieve the required coverage and treatment adherence in Uganda.

Background: Implementation of guideline recommendations for cardiovascular disease (CVD) prevention in people with diabetes in low- and middle-income countries (LMICs) is unclear. We assessed the achievement of CVD prevention targets among patients with diabetes in LMICs.

Methods: We pooled nationally representative cross-sectional surveys from 38 LMICs. We evaluated three targets according to the World Health Organization's (WHO) recommendations: treatment (glucose-lowering drugs, statins, antihypertensive drugs, and aspirin); metabolism (blood glucose, body mass index, blood pressure, and cholesterol); and lifestyle (non-smoking, non-drinking, physical activity, and diet). We used multivariable Poisson regression models to assess sociodemographic factors influencing adherence to guideline recommendations.

Results: The study included 110 083 participants, of whom 6789 (6.0%) had self-reported diabetes. The prevalence of achieving the treatment, metabolic and lifestyle targets for all components were 9.9%, 8.1%, and 7.2%, respectively. The components with the lowest prevalence of the three targets were 11.1% for statin use, 27.3% for body mass index control, and 19.5% for sufficient consumption of fruit and vegetables, respectively. Upper-middle-income countries were better at achieving the treatment, non-drinking, and dietary targets than lower-middle-income countries. Women, middle-aged and older patients, and highly educated patients had a lower prevalence of metabolic adherence.

Conclusions: In LMICs, the prevalence of patients with diabetes meeting WHO-recommended treatment, metabolic and lifestyle targets for CVD prevention was low. Our findings highlighted the need to strengthen the prevention of CVD in patients with diabetes in LMICs.

Background: Ensuring women's sexual and reproductive health (SRH) is a fundamental human right and key to 2030 agenda of the UN Sustainable Development Goals (SDGs), yet limited evidence exists on SRH in China, including national estimates and disparities of women's SRH experiences, gynaecological diseases, and sexually transmitted diseases (STDs).

Methods: A national cross-sectional survey based on a multistage stratified sampling from 15 provinces of China was performed from May 2019 to April 2021. A total of 12 815 reproductive-aged (20-49 years) women were involved. The SRH experiences (including age at menarche, age at first sexual activity, history of abortion, miscarriage, recurrent miscarriage, stillbirth, age at first delivery, types of delivery), the history of gynaecological diseases and STDs, as well as the environmental factors of participants were investigated. Human development index (HDI) was utilised to categorise and describe the socioeconomic status of the regions. The prevalence rates of diseases were compared among different HDI regions.

Results: We observed a decrease in the mean age at menarche, an increase in the proportion of women who became sexually active before 20, and a modest rise in mean age at first childbirth across generations. Age-standardised prevalence estimates of miscarriage, recurrent miscarriage, artificial abortion, ectopic pregnancy, and stillbirth were 9.3, 1.4, 55.7, 3.3, and 2.1%, respectively. Approximately 50% of participants reported a history of gynaecological diseases, with vulvovaginitis, cervicitis, and pelvic infection diseases being the most prevalent. The overall prevalence of STDs was estimated at 22.2‰, with mycoplasma genitalium infection having the highest reported prevalence. Disease prevalence varies across HDI regions.

Conclusions: Women's SRH behaviours and experiences have evolved, along with shifts in the spectrums of gynaecological diseases and STDs in China. Urgent recalibration of health care policies and disease control strategies is necessary, aligning them with women's changing SRH needs, ultimately ensuring their reproductive health and rights.

Background: Perinatal depression affects one-third of pregnant women living with HIV (WLH). We examined patterns of treatment response to a novel stepped model of depression care among WLH with perinatal depression in Uganda.

Methods: As part of the Maternal Depression Treatment in HIV (M-DEPTH) cluster randomised controlled trial, 191 women were enrolled across four antenatal care clinics assigned to provide stepped care including behavioural and antidepressant therapy (ADT), and another 200 across four clinics assigned to provide usual care. They were assessed for depression severity using the Patient Health Questionnaire (PHQ-9) at enrolment and multiple times over 12 months of follow-up. We used repeated measures latent class analysis (LCA) to identify discrete trajectories of depression symptoms, while multinomial regression analyses measured correlates of class membership.

Results: The LCA identified three trajectories among those in the treatment group: mildly depressed individuals who improved (MiD-I) (n = 143, 75%), moderately depressed individuals who improved (MoD-I) (n = 33, 17%), and moderately depressed individuals who remained depressed (MoD-R) (n = 15, 8%). Membership in MiD-I was associated with lower levels of intimate partner violence at baseline (P = 0.04) and month 6 (P < 0.001), and less recent trauma exposure (P = 0.03) at baseline. At month 6, social support was lowest in MoD-R, while the degree of negative problem-solving orientation was highest (both P < 0.001) in this class. The LCA also identified three trajectories among those in the usual care comparison group: mildly depressed (MiD) (n = 62, 31%), moderately depressed (MoD) (n = 71, 35%), and seriously depressed (SiD) (n = 67, 34%), with each experiencing slight improvement. Recent traumas at baseline were highest in SiD (P < 0.001); this group also reported the lowest positive problem-solving orientation and highest negative problem-solving orientation (P < 0.001) at baseline.

Conclusions: Depression symptom trajectories among women with perinatal depression are related to modifiable factors such as problem-solving orientation and interpersonal dynamics, with the latter including intimate partner violence and social support. Most treatment recipients were characterised by trajectories indicating recovery from depression.

Registration: ClinicalTrials.Gov (NCT03892915).