Preventive Care Behavior
- survey
- 9,097 survey submissions; 7,048 responses about healthcare in the previous year
Key takeaways
- 41.5% reported doing none of the five activities asked about in the past year. These were routine or preventive doctor visits; visits for symptoms or illness; full-body diagnostic tests; workplace health camps or screening; and fitness assessments.
- Full-body testing rises from one in six at the lowest incomes to over half at the highest. The share was 15.6% below ₹3 lakh and 54.3% at ₹40 lakh+, a 3.5-fold difference. An income gap also appears within ages 20–29.
- Testing is less common among those reporting no diagnosed condition. Full-body testing was reported in 22.9% of responses with none of nine specified diagnoses, compared with 36.1% with at least one. The conditions include diabetes, high blood pressure and thyroid disorders.
- People in their 20s most often reported doing none of the five activities. 47.0% did, compared with 22.5% of people in their 50s.
- Full-body testing rises from one in six at the lowest incomes to over half at the highest
- Testing is less common among those reporting no diagnosed condition
- Nearly half in their 20s report no listed visits, tests or health checks
- Women report more testing from the 20s through the 50s
- Office staff report the least testing; hybrid staff the most
- Over half in retail and logistics report no listed visits, tests or health checks
- The income gap makes lower-paid staff an access priority
- Notes
41.5% of responses reported none of the five activities during the previous year. Routine or preventive doctor visits and full-body diagnostic tests were each reported by about a quarter. Workplace health camps or screening reached 10.5%, less than either of those services.
These results describe the previous year in 7,048 responses to Loop's workforce health survey. The five activities were a routine or preventive doctor visit, a doctor visit for symptoms or illness, a full-body diagnostic test, a workplace health camp or screening, and a fitness assessment. Reporting none of them does not mean that a person received no care of any kind.
Some conditions develop before symptoms prompt a doctor visit. Appropriate screening offers a chance to detect them and start follow-up care. India's national ICMR-INDIAB study documents a substantial burden of metabolic disease. Anjana et al., The Lancet Diabetes & Endocrinology, 2023 The differences below show how reported use varies by income, age and work arrangement. The Blood Sugar page reports separate laboratory findings.
View data table
| Action selected in the last year | Share | Answers |
|---|---|---|
| None of the five activities | 41.5% | 7048 |
| Doctor consult + routine check-up or preventive care | 24.4% | 7048 |
| Got a full-body diagnostic test (blood panel: vitamins, lipid, sugar, etc.) | 24.3% | 7048 |
| Doctor consult due to a specific symptom or illness | 22.2% | 7048 |
| Participated in a company-organized health camp or screening | 10.5% | 7048 |
| Got a fitness assessment (VO2 max, strength test, body composition) | 2.6% | 7048 |
“None of the five activities” excludes 53 responses that also selected an activity, but keeps them in the base. Multiple activities could be selected, so shares overlap. The 7,048 answers include repeat submissions and cover the preceding year.
Full-body testing rises from one in six at the lowest incomes to over half at the highest#
Full-body testing rises across all seven income bands: from 15.6% below ₹3 lakh to 54.3% at ₹40 lakh+. That is a 3.5-fold difference, from about one in six responses to more than half.
View data table
| Annual income | Full-body test | Answers |
|---|---|---|
| Under ₹3 lakh | 15.6% | 887 |
| ₹3–6 lakh | 15.7% | 1997 |
| ₹6–10 lakh | 23.2% | 1412 |
| ₹10–15 lakh | 27.7% | 963 |
| ₹15–25 lakh | 36.8% | 736 |
| ₹25–40 lakh | 42.8% | 374 |
| ₹40 lakh+ | 54.3% | 138 |
The seven bands exclude 540 answers marked “Prefer not to say” and one missing income answer.
The income gap also appears among people in their 20s. It is not limited to a comparison of young and old age groups. Among ages 20–29, testing was 13.4% below ₹3 lakh and 36.8% at ₹15–25 lakh, a 2.7-fold difference. The Income and Job Role page gives further survey comparisons.
| Income, age 20–29 | Full-body test | Answers |
|---|---|---|
| Under ₹3 lakh | 13.4% | 484 |
| ₹15–25 lakh | 36.8% | 190 |
Testing is less common among those reporting no diagnosed condition#
Full-body testing was reported in 22.9% of responses with no reported diagnosis from the nine conditions asked about, compared with 36.1% with at least one. The contrast extends beyond testing: 43.8% without a listed diagnosis reported none of the five care activities, compared with 21.1% with at least one. These answers do not show whether a diagnosis came before or after testing.
View data table
| Diagnosis response group (answers) | Full-body test | None of the five activities |
|---|---|---|
| No listed condition (4,354) | 22.9% | 43.8% |
| At least one listed condition (1,472) | 36.1% | 21.1% |
The nine conditions were high blood pressure, diabetes, heart attack or stroke before 60, cancer, kidney disease, thyroid disorders, mental health conditions, autoimmune disease and genetic disorders. Diagnoses are self-reported. The no-diagnosis group excludes “not sure” answers; anyone naming a condition stays in the diagnosed group even if they also selected “None.” Other combinations and missing answers are outside this comparison.
Screening looks for selected conditions before symptoms; monitoring helps manage a known condition. The clinical task is to identify the right service and provide follow-up. For example, US diabetes guidance recommends screening specified adults aged 35–70 with overweight or obesity, and referral to preventive interventions when prediabetes is found. USPSTF, JAMA, 2021
Dr Priyadarshini Jagtap describes reasons patients give for delaying a check-up. The survey did not ask why respondents did not use these services.
In my consultations, I often hear patients say, "Doctor, I was planning to get a check-up next month," or "I've been meaning to book it for a year." Work deadlines, family responsibilities and travel keep pushing it down the list. Some people also fear what a test might uncover.
That fear is understandable, but screening is meant to find problems before symptoms appear. Many people still think of healthcare as treatment after they feel ill, rather than a chance to act earlier.
Dr Priyadarshini Jagtap
Founding Member & HOD, Medical Advisory Team
Loop Health
Nearly half in their 20s report no listed visits, tests or health checks#
In the previous year, 47.0% of responses from people in their 20s reported none of the five care activities: routine or preventive doctor visits, doctor visits for illness, full-body tests, workplace health camps or screening, and fitness assessments. This share was 22.5% in the 50s.
View data table
| Age band | None of the five activities | Answers |
|---|---|---|
| 20–29 | 47.0% | 2847 |
| 30–39 | 40.7% | 3002 |
| 40–49 | 31.8% | 930 |
| 50–59 | 22.5% | 218 |
The chart covers ages 20–59. At 60+, 31.6% reported none of the activities, so the decline does not continue across every age band.
Women report more testing from the 20s through the 50s#
Women reported full-body testing more often than men, 27.4% versus 22.8%. Their share reporting none of the five care activities was 9.0 percentage points lower.
View data table
| Sex (answers) | Full-body test | None of the five activities |
|---|---|---|
| Women (2,227) | 27.4% | 35.4% |
| Men (4,798) | 22.8% | 44.4% |
WHI 2025 reported annual full-body testing in 45.2% of women and 39.9% of men. The current past-year shares are lower by 17.8 and 17.1 percentage points respectively. Women reported more testing in both editions. WHI 2025: Female Workforce Health
The two rows exclude six non-binary answers, 16 marked “Prefer not to say” and one missing sex answer.
Women reported more testing in each of the four displayed age bands. More than half of men's responses in their 20s reported none of the five care activities, at 50.9%, compared with 40.6% of women's responses. Testing was 18.0% among men in their 20s and 35.3% in their 50s; the corresponding shares for women were 23.6% and 38.0%.
| Age / sex (answers) | Full-body test | None of the five activities |
|---|---|---|
| 20-29 / Women (1,053) | 23.6% | 40.6% |
| 20-29 / Men (1,785) | 18.0% | 50.9% |
| 30-39 / Women (827) | 29.5% | 32.6% |
| 30-39 / Men (2,163) | 23.9% | 43.9% |
| 40-49 / Women (253) | 33.6% | 26.9% |
| 40-49 / Men (676) | 29.6% | 33.7% |
| 50-59 / Women (79) | 38.0% | 21.5% |
| 50-59 / Men (139) | 35.3% | 23.0% |
This table covers women and men aged 20–59. The smaller age groups outside that range are not shown.
Office staff report the least testing; hybrid staff the most#
Full-body testing was reported by 21.5% of office staff, compared with 30.1% of hybrid staff. Home-based staff were between the two. The comparison does not isolate work arrangement from income, age or other differences between these groups.
View data table
| Work arrangement | Full-body test | Answers |
|---|---|---|
| Work from office | 21.5% | 4283 |
| Work from home | 26.7% | 1257 |
| Hybrid (office and home) | 30.1% | 1507 |
One response about healthcare has no work arrangement.
Over half in retail and logistics report no listed visits, tests or health checks#
More than half of responses from E-commerce / Retail (52.9%) and Logistics / Supply Chain (52.1%) reported none of the five activities: doctor visits for routine care or illness, full-body tests, workplace health camps or screening, and fitness assessments. The bases were 263 and 142 responses respectively. The share was also higher in Chennai (49.1% of 377 responses) than in Kolkata (35.3% of 241). The Industries page gives other sector comparisons.
The tables show cities and industries with at least 100 healthcare answers; footnotes list the smaller groups.
View data table
| City | None of the five activities | Answers |
|---|---|---|
| Bengaluru | 38.9% | 1513 |
| Chennai | 49.1% | 377 |
| Delhi NCR | 39.5% | 975 |
| Hyderabad | 44.2% | 747 |
| Kolkata | 35.3% | 241 |
| Mumbai | 41.5% | 976 |
| Pune | 38.6% | 914 |
City coverage details.[1]
| Industry | None of the five activities | Answers |
|---|---|---|
| BFSI (Banking, Fintech, Insurance) | 43.4% | 564 |
| Consulting | 34.1% | 164 |
| E-commerce / Retail | 52.9% | 263 |
| EdTech / Education | 37.4% | 454 |
| Healthcare | 41.0% | 593 |
| Hospitality / Travel | 45.1% | 122 |
| IT / Software / SaaS | 40.3% | 2632 |
| Logistics / Supply Chain | 52.1% | 142 |
| Manufacturing | 40.8% | 475 |
| Media / Entertainment | 41.5% | 123 |
| NGO / Non-Profit | 32.6% | 129 |
| Real Estate / Construction | 34.0% | 191 |
Industry coverage details.[2]
The income gap makes lower-paid staff an access priority#
An overall completion rate can hide the income gap. Measuring completed care by income shows whether an access change reaches lower-paid eligible staff. Participation can change with how care is offered. In an English NHS Health Check trial, telephone invitations improved uptake compared with standard letters. Gidlow et al., BMC Public Health, 2019
India’s NHM programme illustrates why service eligibility matters: it specifies annual hypertension and diabetes screening for adults aged 30 and above within that programme. NHM screening guidance
Notes
City categories outside the table: Ahmedabad (82); Bhopal (26); Bhubaneswar (42); Chandigarh (32); Coimbatore (56); Goa (22); Indore (41); Jaipur (61); Kanpur (22); Kochi (43); Lucknow (62); Mangalore (28); Mysuru (34); Nagpur (52); Nashik (26); Patna (46); Surat (22); Thiruvananthapuram (15); Vadodara (41); Visakhapatnam (Vizag) (39). There were also 511 “Other” answers and two missing city answers.
Industry categories outside the table: Energy / Utilities (ONG, Renewables, etc) (72); FMCG (95); Government / Public Sector (46); Pharma (75). There were also 906 “Other” answers and two missing industry answers.
References
- 1Loop Health. Workforce Health Index 2025: Female Workforce Health (2025). Published report. Archived publication inspected from 29 April 2026.
- 2Anjana, R.M., Unnikrishnan, R., Deepa, M. et al. Metabolic non-communicable disease health report of India: the ICMR-INDIAB national cross-sectional study (ICMR-INDIAB-17). The Lancet Diabetes & Endocrinology 11, 474–489 (2023). doi:10.1016/S2213-8587(23)00119-5.
- 3Ministry of Health and Family Welfare, National Health Mission. Operational Guidelines: Prevention, Screening and Control of Common Non-Communicable Diseases: Hypertension, Diabetes and Common Cancers (Oral, Breast, Cervix). Service Delivery Framework, pp. 7–8. Programme guidance.
- 4US Preventive Services Task Force. Screening for prediabetes and type 2 diabetes: US Preventive Services Task Force recommendation statement. JAMA 326, 736–743 (2021). doi:10.1001/jama.2021.12531.
- 5National Heart, Lung, and Blood Institute. Metabolic Syndrome: Symptoms (2022). Clinical explanation.
- 6Gidlow, C.J., Ellis, N.J., Riley, V. et al. Randomised controlled trial comparing uptake of NHS Health Check in response to standard letters, risk-personalised letters and telephone invitations. BMC Public Health 19, 224 (2019). doi:10.1186/s12889-019-6540-8.
